diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
index 5bc99a66..d291005d 100644
--- a/.devcontainer/Dockerfile
+++ b/.devcontainer/Dockerfile
@@ -90,7 +90,7 @@ RUN . /opt/conda/etc/profile.d/conda.sh \
 
 
 # Install the yardl tool
-ARG YARDL_VERSION=0.6.4
+ARG YARDL_VERSION=0.6.5
 RUN wget --quiet "https://github.com/microsoft/yardl/releases/download/v${YARDL_VERSION}/yardl_${YARDL_VERSION}_linux_x86_64.tar.gz" \
     && tar -xzf "yardl_${YARDL_VERSION}_linux_x86_64.tar.gz" \
     && mv yardl "/opt/conda/envs/${CONDA_ENVIRONMENT_NAME}/bin/" \
diff --git a/.github/workflows/mrd_build.yml b/.github/workflows/mrd_build.yml
index a40c7e2e..19091f2d 100644
--- a/.github/workflows/mrd_build.yml
+++ b/.github/workflows/mrd_build.yml
@@ -11,7 +11,7 @@ on:
 env:
   # Increase this to manually reset the conda environment cache
   CONDA_CACHE_NUMBER: 0
-  YARDL_VERSION: 0.6.4
+  YARDL_VERSION: 0.6.5
 
 defaults:
   run:
diff --git a/cpp/mrd-tools/converters.cc b/cpp/mrd-tools/converters.cc
index ab9338c3..95842489 100644
--- a/cpp/mrd-tools/converters.cc
+++ b/cpp/mrd-tools/converters.cc
@@ -1087,6 +1087,11 @@ ISMRMRD::Image<std::complex<double>> convert(Image<std::complex<double>>& im) {
   return convert<std::complex<double>>(im);
 }
 
+// Convert mrd::AcquisitionPrototype - no equivalent in ISMRMRD::
+int convert(AcquisitionPrototype&) {
+  return 0;
+}
+
 // Convert mrd::AcquisitionBucket - no equivalent in ISMRMRD::
 int convert(AcquisitionBucket&) {
   return 0;
@@ -1107,6 +1112,41 @@ int convert(ArrayComplexFloat&) {
   return 0;
 }
 
+// no equivalent in ISMRMRD::
+int convert(PulseqDefinitions&) {
+  return 0;
+}
+
+// no equivalent in ISMRMRD::
+int convert(std::vector<Block>&) {
+  return 0;
+}
+
+// no equivalent in ISMRMRD:://
+int convert(RFEvent&) {
+  return 0;
+}
+
+// no equivalent in ISMRMRD::
+int convert(ArbitraryGradient&) {
+  return 0;
+}
+
+// no equivalent in ISMRMRD::
+int convert(TrapezoidalGradient&) {
+  return 0;
+}
+
+// no equivalent in ISMRMRD::
+int convert(ADCEvent&) {
+  return 0;
+}
+
+// no equivalent in ISMRMRD::
+int convert(Shape&) {
+  return 0;
+}
+
 yardl::Date date_from_string(const std::string& s) {
   std::stringstream ss{s};
 
diff --git a/cpp/mrd-tools/converters.h b/cpp/mrd-tools/converters.h
index 490359bf..d1d3a79a 100644
--- a/cpp/mrd-tools/converters.h
+++ b/cpp/mrd-tools/converters.h
@@ -2,8 +2,8 @@
 
 #include "mrd/types.h"
 
-#include <ismrmrd/xml.h>
 #include <ismrmrd/waveform.h>
+#include <ismrmrd/xml.h>
 
 namespace mrd::converters {
 
@@ -22,6 +22,14 @@ int convert(AcquisitionBucket&);
 int convert(ReconData&);
 int convert(ImageArray&);
 int convert(ArrayComplexFloat&);
+int convert(AcquisitionPrototype&);
+int convert(PulseqDefinitions&);
+int convert(std::vector<Block>&);
+int convert(RFEvent&);
+int convert(ArbitraryGradient&);
+int convert(TrapezoidalGradient&);
+int convert(ADCEvent&);
+int convert(Shape&);
 
 Header convert(ISMRMRD::IsmrmrdHeader& hdr);
 Acquisition convert(ISMRMRD::Acquisition& acq);
diff --git a/cpp/mrd/binary/protocols.cc b/cpp/mrd/binary/protocols.cc
index 0c73ba12..fe32ea70 100644
--- a/cpp/mrd/binary/protocols.cc
+++ b/cpp/mrd/binary/protocols.cc
@@ -73,6 +73,17 @@ struct IsTriviallySerializable<mrd::Acquisition> {
     offsetof(__T__, head) < offsetof(__T__, data) && offsetof(__T__, data) < offsetof(__T__, trajectory);
 };
 
+template <>
+struct IsTriviallySerializable<mrd::AcquisitionPrototype> {
+  using __T__ = mrd::AcquisitionPrototype;
+  static constexpr bool value = 
+    std::is_standard_layout_v<__T__> &&
+    IsTriviallySerializable<decltype(__T__::head)>::value &&
+    IsTriviallySerializable<decltype(__T__::data_sample_counts)>::value &&
+    (sizeof(__T__) == (sizeof(__T__::head) + sizeof(__T__::data_sample_counts))) &&
+    offsetof(__T__, head) < offsetof(__T__, data_sample_counts);
+};
+
 template <>
 struct IsTriviallySerializable<mrd::SubjectInformationType> {
   using __T__ = mrd::SubjectInformationType;
@@ -637,6 +648,122 @@ struct IsTriviallySerializable<mrd::ImageArray> {
     offsetof(__T__, data) < offsetof(__T__, headers) && offsetof(__T__, headers) < offsetof(__T__, meta) && offsetof(__T__, meta) < offsetof(__T__, waveforms);
 };
 
+template <>
+struct IsTriviallySerializable<mrd::PulseqDefinitions> {
+  using __T__ = mrd::PulseqDefinitions;
+  static constexpr bool value = 
+    std::is_standard_layout_v<__T__> &&
+    IsTriviallySerializable<decltype(__T__::gradient_raster_time)>::value &&
+    IsTriviallySerializable<decltype(__T__::radiofrequency_raster_time)>::value &&
+    IsTriviallySerializable<decltype(__T__::adc_raster_time)>::value &&
+    IsTriviallySerializable<decltype(__T__::block_duration_raster)>::value &&
+    IsTriviallySerializable<decltype(__T__::name)>::value &&
+    IsTriviallySerializable<decltype(__T__::fov)>::value &&
+    IsTriviallySerializable<decltype(__T__::total_duration)>::value &&
+    IsTriviallySerializable<decltype(__T__::custom)>::value &&
+    (sizeof(__T__) == (sizeof(__T__::gradient_raster_time) + sizeof(__T__::radiofrequency_raster_time) + sizeof(__T__::adc_raster_time) + sizeof(__T__::block_duration_raster) + sizeof(__T__::name) + sizeof(__T__::fov) + sizeof(__T__::total_duration) + sizeof(__T__::custom))) &&
+    offsetof(__T__, gradient_raster_time) < offsetof(__T__, radiofrequency_raster_time) && offsetof(__T__, radiofrequency_raster_time) < offsetof(__T__, adc_raster_time) && offsetof(__T__, adc_raster_time) < offsetof(__T__, block_duration_raster) && offsetof(__T__, block_duration_raster) < offsetof(__T__, name) && offsetof(__T__, name) < offsetof(__T__, fov) && offsetof(__T__, fov) < offsetof(__T__, total_duration) && offsetof(__T__, total_duration) < offsetof(__T__, custom);
+};
+
+template <>
+struct IsTriviallySerializable<mrd::Block> {
+  using __T__ = mrd::Block;
+  static constexpr bool value = 
+    std::is_standard_layout_v<__T__> &&
+    IsTriviallySerializable<decltype(__T__::id)>::value &&
+    IsTriviallySerializable<decltype(__T__::duration)>::value &&
+    IsTriviallySerializable<decltype(__T__::rf)>::value &&
+    IsTriviallySerializable<decltype(__T__::gx)>::value &&
+    IsTriviallySerializable<decltype(__T__::gy)>::value &&
+    IsTriviallySerializable<decltype(__T__::gz)>::value &&
+    IsTriviallySerializable<decltype(__T__::adc)>::value &&
+    IsTriviallySerializable<decltype(__T__::ext)>::value &&
+    (sizeof(__T__) == (sizeof(__T__::id) + sizeof(__T__::duration) + sizeof(__T__::rf) + sizeof(__T__::gx) + sizeof(__T__::gy) + sizeof(__T__::gz) + sizeof(__T__::adc) + sizeof(__T__::ext))) &&
+    offsetof(__T__, id) < offsetof(__T__, duration) && offsetof(__T__, duration) < offsetof(__T__, rf) && offsetof(__T__, rf) < offsetof(__T__, gx) && offsetof(__T__, gx) < offsetof(__T__, gy) && offsetof(__T__, gy) < offsetof(__T__, gz) && offsetof(__T__, gz) < offsetof(__T__, adc) && offsetof(__T__, adc) < offsetof(__T__, ext);
+};
+
+template <>
+struct IsTriviallySerializable<mrd::RFEvent> {
+  using __T__ = mrd::RFEvent;
+  static constexpr bool value = 
+    std::is_standard_layout_v<__T__> &&
+    IsTriviallySerializable<decltype(__T__::id)>::value &&
+    IsTriviallySerializable<decltype(__T__::amp)>::value &&
+    IsTriviallySerializable<decltype(__T__::mag_id)>::value &&
+    IsTriviallySerializable<decltype(__T__::phase_id)>::value &&
+    IsTriviallySerializable<decltype(__T__::time_id)>::value &&
+    IsTriviallySerializable<decltype(__T__::center)>::value &&
+    IsTriviallySerializable<decltype(__T__::delay)>::value &&
+    IsTriviallySerializable<decltype(__T__::freq_ppm)>::value &&
+    IsTriviallySerializable<decltype(__T__::phase_ppm)>::value &&
+    IsTriviallySerializable<decltype(__T__::freq_offset)>::value &&
+    IsTriviallySerializable<decltype(__T__::phase_offset)>::value &&
+    IsTriviallySerializable<decltype(__T__::use)>::value &&
+    (sizeof(__T__) == (sizeof(__T__::id) + sizeof(__T__::amp) + sizeof(__T__::mag_id) + sizeof(__T__::phase_id) + sizeof(__T__::time_id) + sizeof(__T__::center) + sizeof(__T__::delay) + sizeof(__T__::freq_ppm) + sizeof(__T__::phase_ppm) + sizeof(__T__::freq_offset) + sizeof(__T__::phase_offset) + sizeof(__T__::use))) &&
+    offsetof(__T__, id) < offsetof(__T__, amp) && offsetof(__T__, amp) < offsetof(__T__, mag_id) && offsetof(__T__, mag_id) < offsetof(__T__, phase_id) && offsetof(__T__, phase_id) < offsetof(__T__, time_id) && offsetof(__T__, time_id) < offsetof(__T__, center) && offsetof(__T__, center) < offsetof(__T__, delay) && offsetof(__T__, delay) < offsetof(__T__, freq_ppm) && offsetof(__T__, freq_ppm) < offsetof(__T__, phase_ppm) && offsetof(__T__, phase_ppm) < offsetof(__T__, freq_offset) && offsetof(__T__, freq_offset) < offsetof(__T__, phase_offset) && offsetof(__T__, phase_offset) < offsetof(__T__, use);
+};
+
+template <>
+struct IsTriviallySerializable<mrd::ArbitraryGradient> {
+  using __T__ = mrd::ArbitraryGradient;
+  static constexpr bool value = 
+    std::is_standard_layout_v<__T__> &&
+    IsTriviallySerializable<decltype(__T__::id)>::value &&
+    IsTriviallySerializable<decltype(__T__::amp)>::value &&
+    IsTriviallySerializable<decltype(__T__::first)>::value &&
+    IsTriviallySerializable<decltype(__T__::last)>::value &&
+    IsTriviallySerializable<decltype(__T__::shape_id)>::value &&
+    IsTriviallySerializable<decltype(__T__::time_id)>::value &&
+    IsTriviallySerializable<decltype(__T__::delay)>::value &&
+    (sizeof(__T__) == (sizeof(__T__::id) + sizeof(__T__::amp) + sizeof(__T__::first) + sizeof(__T__::last) + sizeof(__T__::shape_id) + sizeof(__T__::time_id) + sizeof(__T__::delay))) &&
+    offsetof(__T__, id) < offsetof(__T__, amp) && offsetof(__T__, amp) < offsetof(__T__, first) && offsetof(__T__, first) < offsetof(__T__, last) && offsetof(__T__, last) < offsetof(__T__, shape_id) && offsetof(__T__, shape_id) < offsetof(__T__, time_id) && offsetof(__T__, time_id) < offsetof(__T__, delay);
+};
+
+template <>
+struct IsTriviallySerializable<mrd::TrapezoidalGradient> {
+  using __T__ = mrd::TrapezoidalGradient;
+  static constexpr bool value = 
+    std::is_standard_layout_v<__T__> &&
+    IsTriviallySerializable<decltype(__T__::id)>::value &&
+    IsTriviallySerializable<decltype(__T__::amp)>::value &&
+    IsTriviallySerializable<decltype(__T__::rise)>::value &&
+    IsTriviallySerializable<decltype(__T__::flat)>::value &&
+    IsTriviallySerializable<decltype(__T__::fall)>::value &&
+    IsTriviallySerializable<decltype(__T__::delay)>::value &&
+    (sizeof(__T__) == (sizeof(__T__::id) + sizeof(__T__::amp) + sizeof(__T__::rise) + sizeof(__T__::flat) + sizeof(__T__::fall) + sizeof(__T__::delay))) &&
+    offsetof(__T__, id) < offsetof(__T__, amp) && offsetof(__T__, amp) < offsetof(__T__, rise) && offsetof(__T__, rise) < offsetof(__T__, flat) && offsetof(__T__, flat) < offsetof(__T__, fall) && offsetof(__T__, fall) < offsetof(__T__, delay);
+};
+
+template <>
+struct IsTriviallySerializable<mrd::ADCEvent> {
+  using __T__ = mrd::ADCEvent;
+  static constexpr bool value = 
+    std::is_standard_layout_v<__T__> &&
+    IsTriviallySerializable<decltype(__T__::id)>::value &&
+    IsTriviallySerializable<decltype(__T__::num)>::value &&
+    IsTriviallySerializable<decltype(__T__::dwell)>::value &&
+    IsTriviallySerializable<decltype(__T__::delay)>::value &&
+    IsTriviallySerializable<decltype(__T__::freq_ppm)>::value &&
+    IsTriviallySerializable<decltype(__T__::phase_ppm)>::value &&
+    IsTriviallySerializable<decltype(__T__::freq)>::value &&
+    IsTriviallySerializable<decltype(__T__::phase)>::value &&
+    IsTriviallySerializable<decltype(__T__::phase_shape_id)>::value &&
+    (sizeof(__T__) == (sizeof(__T__::id) + sizeof(__T__::num) + sizeof(__T__::dwell) + sizeof(__T__::delay) + sizeof(__T__::freq_ppm) + sizeof(__T__::phase_ppm) + sizeof(__T__::freq) + sizeof(__T__::phase) + sizeof(__T__::phase_shape_id))) &&
+    offsetof(__T__, id) < offsetof(__T__, num) && offsetof(__T__, num) < offsetof(__T__, dwell) && offsetof(__T__, dwell) < offsetof(__T__, delay) && offsetof(__T__, delay) < offsetof(__T__, freq_ppm) && offsetof(__T__, freq_ppm) < offsetof(__T__, phase_ppm) && offsetof(__T__, phase_ppm) < offsetof(__T__, freq) && offsetof(__T__, freq) < offsetof(__T__, phase) && offsetof(__T__, phase) < offsetof(__T__, phase_shape_id);
+};
+
+template <>
+struct IsTriviallySerializable<mrd::Shape> {
+  using __T__ = mrd::Shape;
+  static constexpr bool value = 
+    std::is_standard_layout_v<__T__> &&
+    IsTriviallySerializable<decltype(__T__::id)>::value &&
+    IsTriviallySerializable<decltype(__T__::num_samples)>::value &&
+    IsTriviallySerializable<decltype(__T__::data)>::value &&
+    (sizeof(__T__) == (sizeof(__T__::id) + sizeof(__T__::num_samples) + sizeof(__T__::data))) &&
+    offsetof(__T__, id) < offsetof(__T__, num_samples) && offsetof(__T__, num_samples) < offsetof(__T__, data);
+};
+
 #ifndef _MSC_VER
 #pragma GCC diagnostic pop // #pragma GCC diagnostic ignored "-Winvalid-offsetof" 
 #endif
@@ -798,8 +925,8 @@ void ReadUnion(yardl::binary::CodedInputStream& stream, std::variant<T0, T1, T2,
   }
 }
 
-template<typename T0, yardl::binary::Writer<T0> WriteT0, typename T1, yardl::binary::Writer<T1> WriteT1, typename T2, yardl::binary::Writer<T2> WriteT2, typename T3, yardl::binary::Writer<T3> WriteT3, typename T4, yardl::binary::Writer<T4> WriteT4, typename T5, yardl::binary::Writer<T5> WriteT5, typename T6, yardl::binary::Writer<T6> WriteT6, typename T7, yardl::binary::Writer<T7> WriteT7, typename T8, yardl::binary::Writer<T8> WriteT8, typename T9, yardl::binary::Writer<T9> WriteT9, typename T10, yardl::binary::Writer<T10> WriteT10, typename T11, yardl::binary::Writer<T11> WriteT11, typename T12, yardl::binary::Writer<T12> WriteT12, typename T13, yardl::binary::Writer<T13> WriteT13>
-void WriteUnion(yardl::binary::CodedOutputStream& stream, std::variant<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13> const& value) {
+template<typename T0, yardl::binary::Writer<T0> WriteT0, typename T1, yardl::binary::Writer<T1> WriteT1, typename T2, yardl::binary::Writer<T2> WriteT2, typename T3, yardl::binary::Writer<T3> WriteT3, typename T4, yardl::binary::Writer<T4> WriteT4, typename T5, yardl::binary::Writer<T5> WriteT5, typename T6, yardl::binary::Writer<T6> WriteT6, typename T7, yardl::binary::Writer<T7> WriteT7, typename T8, yardl::binary::Writer<T8> WriteT8, typename T9, yardl::binary::Writer<T9> WriteT9, typename T10, yardl::binary::Writer<T10> WriteT10, typename T11, yardl::binary::Writer<T11> WriteT11, typename T12, yardl::binary::Writer<T12> WriteT12, typename T13, yardl::binary::Writer<T13> WriteT13, typename T14, yardl::binary::Writer<T14> WriteT14, typename T15, yardl::binary::Writer<T15> WriteT15, typename T16, yardl::binary::Writer<T16> WriteT16, typename T17, yardl::binary::Writer<T17> WriteT17, typename T18, yardl::binary::Writer<T18> WriteT18, typename T19, yardl::binary::Writer<T19> WriteT19, typename T20, yardl::binary::Writer<T20> WriteT20, typename T21, yardl::binary::Writer<T21> WriteT21>
+void WriteUnion(yardl::binary::CodedOutputStream& stream, std::variant<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21> const& value) {
   yardl::binary::WriteInteger(stream, value.index());
   switch (value.index()) {
   case 0: {
@@ -872,12 +999,52 @@ void WriteUnion(yardl::binary::CodedOutputStream& stream, std::variant<T0, T1, T
     WriteT13(stream, v);
     break;
   }
+  case 14: {
+    T14 const& v = std::get<14>(value);
+    WriteT14(stream, v);
+    break;
+  }
+  case 15: {
+    T15 const& v = std::get<15>(value);
+    WriteT15(stream, v);
+    break;
+  }
+  case 16: {
+    T16 const& v = std::get<16>(value);
+    WriteT16(stream, v);
+    break;
+  }
+  case 17: {
+    T17 const& v = std::get<17>(value);
+    WriteT17(stream, v);
+    break;
+  }
+  case 18: {
+    T18 const& v = std::get<18>(value);
+    WriteT18(stream, v);
+    break;
+  }
+  case 19: {
+    T19 const& v = std::get<19>(value);
+    WriteT19(stream, v);
+    break;
+  }
+  case 20: {
+    T20 const& v = std::get<20>(value);
+    WriteT20(stream, v);
+    break;
+  }
+  case 21: {
+    T21 const& v = std::get<21>(value);
+    WriteT21(stream, v);
+    break;
+  }
   default: throw std::runtime_error("Invalid union index.");
   }
 }
 
-template<typename T0, yardl::binary::Reader<T0> ReadT0, typename T1, yardl::binary::Reader<T1> ReadT1, typename T2, yardl::binary::Reader<T2> ReadT2, typename T3, yardl::binary::Reader<T3> ReadT3, typename T4, yardl::binary::Reader<T4> ReadT4, typename T5, yardl::binary::Reader<T5> ReadT5, typename T6, yardl::binary::Reader<T6> ReadT6, typename T7, yardl::binary::Reader<T7> ReadT7, typename T8, yardl::binary::Reader<T8> ReadT8, typename T9, yardl::binary::Reader<T9> ReadT9, typename T10, yardl::binary::Reader<T10> ReadT10, typename T11, yardl::binary::Reader<T11> ReadT11, typename T12, yardl::binary::Reader<T12> ReadT12, typename T13, yardl::binary::Reader<T13> ReadT13>
-void ReadUnion(yardl::binary::CodedInputStream& stream, std::variant<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13>& value) {
+template<typename T0, yardl::binary::Reader<T0> ReadT0, typename T1, yardl::binary::Reader<T1> ReadT1, typename T2, yardl::binary::Reader<T2> ReadT2, typename T3, yardl::binary::Reader<T3> ReadT3, typename T4, yardl::binary::Reader<T4> ReadT4, typename T5, yardl::binary::Reader<T5> ReadT5, typename T6, yardl::binary::Reader<T6> ReadT6, typename T7, yardl::binary::Reader<T7> ReadT7, typename T8, yardl::binary::Reader<T8> ReadT8, typename T9, yardl::binary::Reader<T9> ReadT9, typename T10, yardl::binary::Reader<T10> ReadT10, typename T11, yardl::binary::Reader<T11> ReadT11, typename T12, yardl::binary::Reader<T12> ReadT12, typename T13, yardl::binary::Reader<T13> ReadT13, typename T14, yardl::binary::Reader<T14> ReadT14, typename T15, yardl::binary::Reader<T15> ReadT15, typename T16, yardl::binary::Reader<T16> ReadT16, typename T17, yardl::binary::Reader<T17> ReadT17, typename T18, yardl::binary::Reader<T18> ReadT18, typename T19, yardl::binary::Reader<T19> ReadT19, typename T20, yardl::binary::Reader<T20> ReadT20, typename T21, yardl::binary::Reader<T21> ReadT21>
+void ReadUnion(yardl::binary::CodedInputStream& stream, std::variant<T0, T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16, T17, T18, T19, T20, T21>& value) {
   size_t index;
   yardl::binary::ReadInteger(stream, index);
   switch (index) {
@@ -965,6 +1132,54 @@ void ReadUnion(yardl::binary::CodedInputStream& stream, std::variant<T0, T1, T2,
       value = std::move(v);
       break;
     }
+    case 14: {
+      T14 v;
+      ReadT14(stream, v);
+      value = std::move(v);
+      break;
+    }
+    case 15: {
+      T15 v;
+      ReadT15(stream, v);
+      value = std::move(v);
+      break;
+    }
+    case 16: {
+      T16 v;
+      ReadT16(stream, v);
+      value = std::move(v);
+      break;
+    }
+    case 17: {
+      T17 v;
+      ReadT17(stream, v);
+      value = std::move(v);
+      break;
+    }
+    case 18: {
+      T18 v;
+      ReadT18(stream, v);
+      value = std::move(v);
+      break;
+    }
+    case 19: {
+      T19 v;
+      ReadT19(stream, v);
+      value = std::move(v);
+      break;
+    }
+    case 20: {
+      T20 v;
+      ReadT20(stream, v);
+      value = std::move(v);
+      break;
+    }
+    case 21: {
+      T21 v;
+      ReadT21(stream, v);
+      value = std::move(v);
+      break;
+    }
     default: throw std::runtime_error("Invalid union index.");
   }
 }
@@ -1120,6 +1335,26 @@ namespace {
   mrd::binary::ReadTrajectoryData(stream, value.trajectory);
 }
 
+[[maybe_unused]] void WriteAcquisitionPrototype(yardl::binary::CodedOutputStream& stream, mrd::AcquisitionPrototype const& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::AcquisitionPrototype>::value) {
+    yardl::binary::WriteTriviallySerializable(stream, value);
+    return;
+  }
+
+  mrd::binary::WriteAcquisitionHeader(stream, value.head);
+  yardl::binary::WriteNDArray<uint32_t, yardl::binary::WriteInteger, 1>(stream, value.data_sample_counts);
+}
+
+[[maybe_unused]] void ReadAcquisitionPrototype(yardl::binary::CodedInputStream& stream, mrd::AcquisitionPrototype& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::AcquisitionPrototype>::value) {
+    yardl::binary::ReadTriviallySerializable(stream, value);
+    return;
+  }
+
+  mrd::binary::ReadAcquisitionHeader(stream, value.head);
+  yardl::binary::ReadNDArray<uint32_t, yardl::binary::ReadInteger, 1>(stream, value.data_sample_counts);
+}
+
 [[maybe_unused]] void WriteSubjectInformationType(yardl::binary::CodedOutputStream& stream, mrd::SubjectInformationType const& value) {
   if constexpr (yardl::binary::IsTriviallySerializable<mrd::SubjectInformationType>::value) {
     yardl::binary::WriteTriviallySerializable(stream, value);
@@ -2472,13 +2707,231 @@ template<typename T, yardl::binary::Reader<T> ReadT>
   mrd::binary::ReadArray<std::complex<float>, yardl::binary::ReadFloatingPoint>(stream, value);
 }
 
+[[maybe_unused]] void WritePulseqDefinitions(yardl::binary::CodedOutputStream& stream, mrd::PulseqDefinitions const& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::PulseqDefinitions>::value) {
+    yardl::binary::WriteTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::WriteFloatingPoint(stream, value.gradient_raster_time);
+  yardl::binary::WriteFloatingPoint(stream, value.radiofrequency_raster_time);
+  yardl::binary::WriteFloatingPoint(stream, value.adc_raster_time);
+  yardl::binary::WriteFloatingPoint(stream, value.block_duration_raster);
+  yardl::binary::WriteOptional<std::string, yardl::binary::WriteString>(stream, value.name);
+  yardl::binary::WriteOptional<mrd::ThreeDimensionalFloat, mrd::binary::WriteThreeDimensionalFloat>(stream, value.fov);
+  yardl::binary::WriteOptional<double, yardl::binary::WriteFloatingPoint>(stream, value.total_duration);
+  yardl::binary::WriteMap<std::string, std::string, yardl::binary::WriteString, yardl::binary::WriteString>(stream, value.custom);
+}
+
+[[maybe_unused]] void ReadPulseqDefinitions(yardl::binary::CodedInputStream& stream, mrd::PulseqDefinitions& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::PulseqDefinitions>::value) {
+    yardl::binary::ReadTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::ReadFloatingPoint(stream, value.gradient_raster_time);
+  yardl::binary::ReadFloatingPoint(stream, value.radiofrequency_raster_time);
+  yardl::binary::ReadFloatingPoint(stream, value.adc_raster_time);
+  yardl::binary::ReadFloatingPoint(stream, value.block_duration_raster);
+  yardl::binary::ReadOptional<std::string, yardl::binary::ReadString>(stream, value.name);
+  yardl::binary::ReadOptional<mrd::ThreeDimensionalFloat, mrd::binary::ReadThreeDimensionalFloat>(stream, value.fov);
+  yardl::binary::ReadOptional<double, yardl::binary::ReadFloatingPoint>(stream, value.total_duration);
+  yardl::binary::ReadMap<std::string, std::string, yardl::binary::ReadString, yardl::binary::ReadString>(stream, value.custom);
+}
+
+[[maybe_unused]] void WriteBlock(yardl::binary::CodedOutputStream& stream, mrd::Block const& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::Block>::value) {
+    yardl::binary::WriteTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::WriteInteger(stream, value.id);
+  yardl::binary::WriteInteger(stream, value.duration);
+  yardl::binary::WriteInteger(stream, value.rf);
+  yardl::binary::WriteInteger(stream, value.gx);
+  yardl::binary::WriteInteger(stream, value.gy);
+  yardl::binary::WriteInteger(stream, value.gz);
+  yardl::binary::WriteInteger(stream, value.adc);
+  yardl::binary::WriteInteger(stream, value.ext);
+}
+
+[[maybe_unused]] void ReadBlock(yardl::binary::CodedInputStream& stream, mrd::Block& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::Block>::value) {
+    yardl::binary::ReadTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::ReadInteger(stream, value.id);
+  yardl::binary::ReadInteger(stream, value.duration);
+  yardl::binary::ReadInteger(stream, value.rf);
+  yardl::binary::ReadInteger(stream, value.gx);
+  yardl::binary::ReadInteger(stream, value.gy);
+  yardl::binary::ReadInteger(stream, value.gz);
+  yardl::binary::ReadInteger(stream, value.adc);
+  yardl::binary::ReadInteger(stream, value.ext);
+}
+
+[[maybe_unused]] void WriteRFEvent(yardl::binary::CodedOutputStream& stream, mrd::RFEvent const& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::RFEvent>::value) {
+    yardl::binary::WriteTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::WriteInteger(stream, value.id);
+  yardl::binary::WriteFloatingPoint(stream, value.amp);
+  yardl::binary::WriteInteger(stream, value.mag_id);
+  yardl::binary::WriteInteger(stream, value.phase_id);
+  yardl::binary::WriteInteger(stream, value.time_id);
+  yardl::binary::WriteFloatingPoint(stream, value.center);
+  yardl::binary::WriteInteger(stream, value.delay);
+  yardl::binary::WriteFloatingPoint(stream, value.freq_ppm);
+  yardl::binary::WriteFloatingPoint(stream, value.phase_ppm);
+  yardl::binary::WriteFloatingPoint(stream, value.freq_offset);
+  yardl::binary::WriteFloatingPoint(stream, value.phase_offset);
+  yardl::binary::WriteEnum<mrd::RFPulseUse>(stream, value.use);
+}
+
+[[maybe_unused]] void ReadRFEvent(yardl::binary::CodedInputStream& stream, mrd::RFEvent& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::RFEvent>::value) {
+    yardl::binary::ReadTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::ReadInteger(stream, value.id);
+  yardl::binary::ReadFloatingPoint(stream, value.amp);
+  yardl::binary::ReadInteger(stream, value.mag_id);
+  yardl::binary::ReadInteger(stream, value.phase_id);
+  yardl::binary::ReadInteger(stream, value.time_id);
+  yardl::binary::ReadFloatingPoint(stream, value.center);
+  yardl::binary::ReadInteger(stream, value.delay);
+  yardl::binary::ReadFloatingPoint(stream, value.freq_ppm);
+  yardl::binary::ReadFloatingPoint(stream, value.phase_ppm);
+  yardl::binary::ReadFloatingPoint(stream, value.freq_offset);
+  yardl::binary::ReadFloatingPoint(stream, value.phase_offset);
+  yardl::binary::ReadEnum<mrd::RFPulseUse>(stream, value.use);
+}
+
+[[maybe_unused]] void WriteArbitraryGradient(yardl::binary::CodedOutputStream& stream, mrd::ArbitraryGradient const& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::ArbitraryGradient>::value) {
+    yardl::binary::WriteTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::WriteInteger(stream, value.id);
+  yardl::binary::WriteFloatingPoint(stream, value.amp);
+  yardl::binary::WriteFloatingPoint(stream, value.first);
+  yardl::binary::WriteFloatingPoint(stream, value.last);
+  yardl::binary::WriteInteger(stream, value.shape_id);
+  yardl::binary::WriteInteger(stream, value.time_id);
+  yardl::binary::WriteInteger(stream, value.delay);
+}
+
+[[maybe_unused]] void ReadArbitraryGradient(yardl::binary::CodedInputStream& stream, mrd::ArbitraryGradient& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::ArbitraryGradient>::value) {
+    yardl::binary::ReadTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::ReadInteger(stream, value.id);
+  yardl::binary::ReadFloatingPoint(stream, value.amp);
+  yardl::binary::ReadFloatingPoint(stream, value.first);
+  yardl::binary::ReadFloatingPoint(stream, value.last);
+  yardl::binary::ReadInteger(stream, value.shape_id);
+  yardl::binary::ReadInteger(stream, value.time_id);
+  yardl::binary::ReadInteger(stream, value.delay);
+}
+
+[[maybe_unused]] void WriteTrapezoidalGradient(yardl::binary::CodedOutputStream& stream, mrd::TrapezoidalGradient const& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::TrapezoidalGradient>::value) {
+    yardl::binary::WriteTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::WriteInteger(stream, value.id);
+  yardl::binary::WriteFloatingPoint(stream, value.amp);
+  yardl::binary::WriteInteger(stream, value.rise);
+  yardl::binary::WriteInteger(stream, value.flat);
+  yardl::binary::WriteInteger(stream, value.fall);
+  yardl::binary::WriteInteger(stream, value.delay);
+}
+
+[[maybe_unused]] void ReadTrapezoidalGradient(yardl::binary::CodedInputStream& stream, mrd::TrapezoidalGradient& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::TrapezoidalGradient>::value) {
+    yardl::binary::ReadTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::ReadInteger(stream, value.id);
+  yardl::binary::ReadFloatingPoint(stream, value.amp);
+  yardl::binary::ReadInteger(stream, value.rise);
+  yardl::binary::ReadInteger(stream, value.flat);
+  yardl::binary::ReadInteger(stream, value.fall);
+  yardl::binary::ReadInteger(stream, value.delay);
+}
+
+[[maybe_unused]] void WriteADCEvent(yardl::binary::CodedOutputStream& stream, mrd::ADCEvent const& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::ADCEvent>::value) {
+    yardl::binary::WriteTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::WriteInteger(stream, value.id);
+  yardl::binary::WriteInteger(stream, value.num);
+  yardl::binary::WriteFloatingPoint(stream, value.dwell);
+  yardl::binary::WriteInteger(stream, value.delay);
+  yardl::binary::WriteFloatingPoint(stream, value.freq_ppm);
+  yardl::binary::WriteFloatingPoint(stream, value.phase_ppm);
+  yardl::binary::WriteFloatingPoint(stream, value.freq);
+  yardl::binary::WriteFloatingPoint(stream, value.phase);
+  yardl::binary::WriteInteger(stream, value.phase_shape_id);
+}
+
+[[maybe_unused]] void ReadADCEvent(yardl::binary::CodedInputStream& stream, mrd::ADCEvent& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::ADCEvent>::value) {
+    yardl::binary::ReadTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::ReadInteger(stream, value.id);
+  yardl::binary::ReadInteger(stream, value.num);
+  yardl::binary::ReadFloatingPoint(stream, value.dwell);
+  yardl::binary::ReadInteger(stream, value.delay);
+  yardl::binary::ReadFloatingPoint(stream, value.freq_ppm);
+  yardl::binary::ReadFloatingPoint(stream, value.phase_ppm);
+  yardl::binary::ReadFloatingPoint(stream, value.freq);
+  yardl::binary::ReadFloatingPoint(stream, value.phase);
+  yardl::binary::ReadInteger(stream, value.phase_shape_id);
+}
+
+[[maybe_unused]] void WriteShape(yardl::binary::CodedOutputStream& stream, mrd::Shape const& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::Shape>::value) {
+    yardl::binary::WriteTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::WriteInteger(stream, value.id);
+  yardl::binary::WriteInteger(stream, value.num_samples);
+  yardl::binary::WriteNDArray<double, yardl::binary::WriteFloatingPoint, 1>(stream, value.data);
+}
+
+[[maybe_unused]] void ReadShape(yardl::binary::CodedInputStream& stream, mrd::Shape& value) {
+  if constexpr (yardl::binary::IsTriviallySerializable<mrd::Shape>::value) {
+    yardl::binary::ReadTriviallySerializable(stream, value);
+    return;
+  }
+
+  yardl::binary::ReadInteger(stream, value.id);
+  yardl::binary::ReadInteger(stream, value.num_samples);
+  yardl::binary::ReadNDArray<double, yardl::binary::ReadFloatingPoint, 1>(stream, value.data);
+}
+
 [[maybe_unused]] void WriteStreamItem(yardl::binary::CodedOutputStream& stream, mrd::StreamItem const& value) {
   if constexpr (yardl::binary::IsTriviallySerializable<mrd::StreamItem>::value) {
     yardl::binary::WriteTriviallySerializable(stream, value);
     return;
   }
 
-  WriteUnion<mrd::Acquisition, mrd::binary::WriteAcquisition, mrd::WaveformUint32, mrd::binary::WriteWaveformUint32, mrd::ImageUint16, mrd::binary::WriteImageUint16, mrd::ImageInt16, mrd::binary::WriteImageInt16, mrd::ImageUint32, mrd::binary::WriteImageUint32, mrd::ImageInt32, mrd::binary::WriteImageInt32, mrd::ImageFloat, mrd::binary::WriteImageFloat, mrd::ImageDouble, mrd::binary::WriteImageDouble, mrd::ImageComplexFloat, mrd::binary::WriteImageComplexFloat, mrd::ImageComplexDouble, mrd::binary::WriteImageComplexDouble, mrd::AcquisitionBucket, mrd::binary::WriteAcquisitionBucket, mrd::ReconData, mrd::binary::WriteReconData, mrd::ArrayComplexFloat, mrd::binary::WriteArrayComplexFloat, mrd::ImageArray, mrd::binary::WriteImageArray>(stream, value);
+  WriteUnion<mrd::Acquisition, mrd::binary::WriteAcquisition, mrd::AcquisitionPrototype, mrd::binary::WriteAcquisitionPrototype, mrd::WaveformUint32, mrd::binary::WriteWaveformUint32, mrd::ImageUint16, mrd::binary::WriteImageUint16, mrd::ImageInt16, mrd::binary::WriteImageInt16, mrd::ImageUint32, mrd::binary::WriteImageUint32, mrd::ImageInt32, mrd::binary::WriteImageInt32, mrd::ImageFloat, mrd::binary::WriteImageFloat, mrd::ImageDouble, mrd::binary::WriteImageDouble, mrd::ImageComplexFloat, mrd::binary::WriteImageComplexFloat, mrd::ImageComplexDouble, mrd::binary::WriteImageComplexDouble, mrd::AcquisitionBucket, mrd::binary::WriteAcquisitionBucket, mrd::ReconData, mrd::binary::WriteReconData, mrd::ArrayComplexFloat, mrd::binary::WriteArrayComplexFloat, mrd::ImageArray, mrd::binary::WriteImageArray, mrd::PulseqDefinitions, mrd::binary::WritePulseqDefinitions, std::vector<mrd::Block>, yardl::binary::WriteVector<mrd::Block, mrd::binary::WriteBlock>, mrd::RFEvent, mrd::binary::WriteRFEvent, mrd::ArbitraryGradient, mrd::binary::WriteArbitraryGradient, mrd::TrapezoidalGradient, mrd::binary::WriteTrapezoidalGradient, mrd::ADCEvent, mrd::binary::WriteADCEvent, mrd::Shape, mrd::binary::WriteShape>(stream, value);
 }
 
 [[maybe_unused]] void ReadStreamItem(yardl::binary::CodedInputStream& stream, mrd::StreamItem& value) {
@@ -2487,7 +2940,7 @@ template<typename T, yardl::binary::Reader<T> ReadT>
     return;
   }
 
-  ReadUnion<mrd::Acquisition, mrd::binary::ReadAcquisition, mrd::WaveformUint32, mrd::binary::ReadWaveformUint32, mrd::ImageUint16, mrd::binary::ReadImageUint16, mrd::ImageInt16, mrd::binary::ReadImageInt16, mrd::ImageUint32, mrd::binary::ReadImageUint32, mrd::ImageInt32, mrd::binary::ReadImageInt32, mrd::ImageFloat, mrd::binary::ReadImageFloat, mrd::ImageDouble, mrd::binary::ReadImageDouble, mrd::ImageComplexFloat, mrd::binary::ReadImageComplexFloat, mrd::ImageComplexDouble, mrd::binary::ReadImageComplexDouble, mrd::AcquisitionBucket, mrd::binary::ReadAcquisitionBucket, mrd::ReconData, mrd::binary::ReadReconData, mrd::ArrayComplexFloat, mrd::binary::ReadArrayComplexFloat, mrd::ImageArray, mrd::binary::ReadImageArray>(stream, value);
+  ReadUnion<mrd::Acquisition, mrd::binary::ReadAcquisition, mrd::AcquisitionPrototype, mrd::binary::ReadAcquisitionPrototype, mrd::WaveformUint32, mrd::binary::ReadWaveformUint32, mrd::ImageUint16, mrd::binary::ReadImageUint16, mrd::ImageInt16, mrd::binary::ReadImageInt16, mrd::ImageUint32, mrd::binary::ReadImageUint32, mrd::ImageInt32, mrd::binary::ReadImageInt32, mrd::ImageFloat, mrd::binary::ReadImageFloat, mrd::ImageDouble, mrd::binary::ReadImageDouble, mrd::ImageComplexFloat, mrd::binary::ReadImageComplexFloat, mrd::ImageComplexDouble, mrd::binary::ReadImageComplexDouble, mrd::AcquisitionBucket, mrd::binary::ReadAcquisitionBucket, mrd::ReconData, mrd::binary::ReadReconData, mrd::ArrayComplexFloat, mrd::binary::ReadArrayComplexFloat, mrd::ImageArray, mrd::binary::ReadImageArray, mrd::PulseqDefinitions, mrd::binary::ReadPulseqDefinitions, std::vector<mrd::Block>, yardl::binary::ReadVector<mrd::Block, mrd::binary::ReadBlock>, mrd::RFEvent, mrd::binary::ReadRFEvent, mrd::ArbitraryGradient, mrd::binary::ReadArbitraryGradient, mrd::TrapezoidalGradient, mrd::binary::ReadTrapezoidalGradient, mrd::ADCEvent, mrd::binary::ReadADCEvent, mrd::Shape, mrd::binary::ReadShape>(stream, value);
 }
 
 } // namespace
diff --git a/cpp/mrd/hdf5/protocols.cc b/cpp/mrd/hdf5/protocols.cc
index b333f6fd..50b046b3 100644
--- a/cpp/mrd/hdf5/protocols.cc
+++ b/cpp/mrd/hdf5/protocols.cc
@@ -312,23 +312,23 @@ H5::CompType InnerUnion8Ddl(bool nullable, H5::DataType const& t0, std::string c
   return rtn;
 }
 
-template <typename TInner0, typename TOuter0, typename TInner1, typename TOuter1, typename TInner2, typename TOuter2, typename TInner3, typename TOuter3, typename TInner4, typename TOuter4, typename TInner5, typename TOuter5, typename TInner6, typename TOuter6, typename TInner7, typename TOuter7, typename TInner8, typename TOuter8, typename TInner9, typename TOuter9, typename TInner10, typename TOuter10, typename TInner11, typename TOuter11, typename TInner12, typename TOuter12, typename TInner13, typename TOuter13>
-class InnerUnion14 {
+template <typename TInner0, typename TOuter0, typename TInner1, typename TOuter1, typename TInner2, typename TOuter2, typename TInner3, typename TOuter3, typename TInner4, typename TOuter4, typename TInner5, typename TOuter5, typename TInner6, typename TOuter6, typename TInner7, typename TOuter7, typename TInner8, typename TOuter8, typename TInner9, typename TOuter9, typename TInner10, typename TOuter10, typename TInner11, typename TOuter11, typename TInner12, typename TOuter12, typename TInner13, typename TOuter13, typename TInner14, typename TOuter14, typename TInner15, typename TOuter15, typename TInner16, typename TOuter16, typename TInner17, typename TOuter17, typename TInner18, typename TOuter18, typename TInner19, typename TOuter19, typename TInner20, typename TOuter20, typename TInner21, typename TOuter21>
+class InnerUnion22 {
   public:
-  InnerUnion14() : type_index_(-1) {} 
-  InnerUnion14(std::variant<TOuter0, TOuter1, TOuter2, TOuter3, TOuter4, TOuter5, TOuter6, TOuter7, TOuter8, TOuter9, TOuter10, TOuter11, TOuter12, TOuter13> const& v) : type_index_(static_cast<int8_t>(v.index())) {
+  InnerUnion22() : type_index_(-1) {} 
+  InnerUnion22(std::variant<TOuter0, TOuter1, TOuter2, TOuter3, TOuter4, TOuter5, TOuter6, TOuter7, TOuter8, TOuter9, TOuter10, TOuter11, TOuter12, TOuter13, TOuter14, TOuter15, TOuter16, TOuter17, TOuter18, TOuter19, TOuter20, TOuter21> const& v) : type_index_(static_cast<int8_t>(v.index())) {
     Init(v);
   }
 
-  InnerUnion14(std::variant<std::monostate, TOuter0, TOuter1, TOuter2, TOuter3, TOuter4, TOuter5, TOuter6, TOuter7, TOuter8, TOuter9, TOuter10, TOuter11, TOuter12, TOuter13> const& v) : type_index_(static_cast<int8_t>(v.index()) - 1) {
+  InnerUnion22(std::variant<std::monostate, TOuter0, TOuter1, TOuter2, TOuter3, TOuter4, TOuter5, TOuter6, TOuter7, TOuter8, TOuter9, TOuter10, TOuter11, TOuter12, TOuter13, TOuter14, TOuter15, TOuter16, TOuter17, TOuter18, TOuter19, TOuter20, TOuter21> const& v) : type_index_(static_cast<int8_t>(v.index()) - 1) {
     Init(v);
   }
 
-  InnerUnion14(InnerUnion14 const& v) = delete;
+  InnerUnion22(InnerUnion22 const& v) = delete;
 
-  InnerUnion14 operator=(InnerUnion14 const&) = delete;
+  InnerUnion22 operator=(InnerUnion22 const&) = delete;
 
-  ~InnerUnion14() {
+  ~InnerUnion22() {
     switch (type_index_) {
     case 0:
       value0_.~TInner0();
@@ -372,14 +372,38 @@ class InnerUnion14 {
     case 13:
       value13_.~TInner13();
       break;
+    case 14:
+      value14_.~TInner14();
+      break;
+    case 15:
+      value15_.~TInner15();
+      break;
+    case 16:
+      value16_.~TInner16();
+      break;
+    case 17:
+      value17_.~TInner17();
+      break;
+    case 18:
+      value18_.~TInner18();
+      break;
+    case 19:
+      value19_.~TInner19();
+      break;
+    case 20:
+      value20_.~TInner20();
+      break;
+    case 21:
+      value21_.~TInner21();
+      break;
     }
   }
 
-  void ToOuter(std::variant<TOuter0, TOuter1, TOuter2, TOuter3, TOuter4, TOuter5, TOuter6, TOuter7, TOuter8, TOuter9, TOuter10, TOuter11, TOuter12, TOuter13>& o) const {
+  void ToOuter(std::variant<TOuter0, TOuter1, TOuter2, TOuter3, TOuter4, TOuter5, TOuter6, TOuter7, TOuter8, TOuter9, TOuter10, TOuter11, TOuter12, TOuter13, TOuter14, TOuter15, TOuter16, TOuter17, TOuter18, TOuter19, TOuter20, TOuter21>& o) const {
     ToOuterImpl(o);
   }
 
-  void ToOuter(std::variant<std::monostate, TOuter0, TOuter1, TOuter2, TOuter3, TOuter4, TOuter5, TOuter6, TOuter7, TOuter8, TOuter9, TOuter10, TOuter11, TOuter12, TOuter13>& o) const {
+  void ToOuter(std::variant<std::monostate, TOuter0, TOuter1, TOuter2, TOuter3, TOuter4, TOuter5, TOuter6, TOuter7, TOuter8, TOuter9, TOuter10, TOuter11, TOuter12, TOuter13, TOuter14, TOuter15, TOuter16, TOuter17, TOuter18, TOuter19, TOuter20, TOuter21>& o) const {
     ToOuterImpl(o);
   }
 
@@ -440,6 +464,38 @@ class InnerUnion14 {
     char empty13_[sizeof(TInner13)]{};
     TInner13 value13_;
   };
+  union {
+    char empty14_[sizeof(TInner14)]{};
+    TInner14 value14_;
+  };
+  union {
+    char empty15_[sizeof(TInner15)]{};
+    TInner15 value15_;
+  };
+  union {
+    char empty16_[sizeof(TInner16)]{};
+    TInner16 value16_;
+  };
+  union {
+    char empty17_[sizeof(TInner17)]{};
+    TInner17 value17_;
+  };
+  union {
+    char empty18_[sizeof(TInner18)]{};
+    TInner18 value18_;
+  };
+  union {
+    char empty19_[sizeof(TInner19)]{};
+    TInner19 value19_;
+  };
+  union {
+    char empty20_[sizeof(TInner20)]{};
+    TInner20 value20_;
+  };
+  union {
+    char empty21_[sizeof(TInner21)]{};
+    TInner21 value21_;
+  };
 
   private:
   template <typename T>
@@ -488,6 +544,30 @@ class InnerUnion14 {
     case 13:
       new (&value13_) TInner13(std::get<13 + offset>(v));
       return;
+    case 14:
+      new (&value14_) TInner14(std::get<14 + offset>(v));
+      return;
+    case 15:
+      new (&value15_) TInner15(std::get<15 + offset>(v));
+      return;
+    case 16:
+      new (&value16_) TInner16(std::get<16 + offset>(v));
+      return;
+    case 17:
+      new (&value17_) TInner17(std::get<17 + offset>(v));
+      return;
+    case 18:
+      new (&value18_) TInner18(std::get<18 + offset>(v));
+      return;
+    case 19:
+      new (&value19_) TInner19(std::get<19 + offset>(v));
+      return;
+    case 20:
+      new (&value20_) TInner20(std::get<20 + offset>(v));
+      return;
+    case 21:
+      new (&value21_) TInner21(std::get<21 + offset>(v));
+      return;
     }
   }
 
@@ -556,6 +636,38 @@ class InnerUnion14 {
       o.template emplace<13 + offset>();
       yardl::hdf5::ToOuter(value13_, std::get<13 + offset>(o));
       return;
+    case 14:
+      o.template emplace<14 + offset>();
+      yardl::hdf5::ToOuter(value14_, std::get<14 + offset>(o));
+      return;
+    case 15:
+      o.template emplace<15 + offset>();
+      yardl::hdf5::ToOuter(value15_, std::get<15 + offset>(o));
+      return;
+    case 16:
+      o.template emplace<16 + offset>();
+      yardl::hdf5::ToOuter(value16_, std::get<16 + offset>(o));
+      return;
+    case 17:
+      o.template emplace<17 + offset>();
+      yardl::hdf5::ToOuter(value17_, std::get<17 + offset>(o));
+      return;
+    case 18:
+      o.template emplace<18 + offset>();
+      yardl::hdf5::ToOuter(value18_, std::get<18 + offset>(o));
+      return;
+    case 19:
+      o.template emplace<19 + offset>();
+      yardl::hdf5::ToOuter(value19_, std::get<19 + offset>(o));
+      return;
+    case 20:
+      o.template emplace<20 + offset>();
+      yardl::hdf5::ToOuter(value20_, std::get<20 + offset>(o));
+      return;
+    case 21:
+      o.template emplace<21 + offset>();
+      yardl::hdf5::ToOuter(value21_, std::get<21 + offset>(o));
+      return;
     }
     throw std::runtime_error("unrecognized type variant type index " + std::to_string(type_index_));
   }
@@ -570,11 +682,11 @@ class InnerUnion14 {
   }
 };
 
-template <typename TInner0, typename TOuter0, typename TInner1, typename TOuter1, typename TInner2, typename TOuter2, typename TInner3, typename TOuter3, typename TInner4, typename TOuter4, typename TInner5, typename TOuter5, typename TInner6, typename TOuter6, typename TInner7, typename TOuter7, typename TInner8, typename TOuter8, typename TInner9, typename TOuter9, typename TInner10, typename TOuter10, typename TInner11, typename TOuter11, typename TInner12, typename TOuter12, typename TInner13, typename TOuter13>
-H5::CompType InnerUnion14Ddl(bool nullable, H5::DataType const& t0, std::string const& tag0, H5::DataType const& t1, std::string const& tag1, H5::DataType const& t2, std::string const& tag2, H5::DataType const& t3, std::string const& tag3, H5::DataType const& t4, std::string const& tag4, H5::DataType const& t5, std::string const& tag5, H5::DataType const& t6, std::string const& tag6, H5::DataType const& t7, std::string const& tag7, H5::DataType const& t8, std::string const& tag8, H5::DataType const& t9, std::string const& tag9, H5::DataType const& t10, std::string const& tag10, H5::DataType const& t11, std::string const& tag11, H5::DataType const& t12, std::string const& tag12, H5::DataType const& t13, std::string const& tag13) {
-  using UnionType = ::InnerUnion14<TInner0, TOuter0, TInner1, TOuter1, TInner2, TOuter2, TInner3, TOuter3, TInner4, TOuter4, TInner5, TOuter5, TInner6, TOuter6, TInner7, TOuter7, TInner8, TOuter8, TInner9, TOuter9, TInner10, TOuter10, TInner11, TOuter11, TInner12, TOuter12, TInner13, TOuter13>;
+template <typename TInner0, typename TOuter0, typename TInner1, typename TOuter1, typename TInner2, typename TOuter2, typename TInner3, typename TOuter3, typename TInner4, typename TOuter4, typename TInner5, typename TOuter5, typename TInner6, typename TOuter6, typename TInner7, typename TOuter7, typename TInner8, typename TOuter8, typename TInner9, typename TOuter9, typename TInner10, typename TOuter10, typename TInner11, typename TOuter11, typename TInner12, typename TOuter12, typename TInner13, typename TOuter13, typename TInner14, typename TOuter14, typename TInner15, typename TOuter15, typename TInner16, typename TOuter16, typename TInner17, typename TOuter17, typename TInner18, typename TOuter18, typename TInner19, typename TOuter19, typename TInner20, typename TOuter20, typename TInner21, typename TOuter21>
+H5::CompType InnerUnion22Ddl(bool nullable, H5::DataType const& t0, std::string const& tag0, H5::DataType const& t1, std::string const& tag1, H5::DataType const& t2, std::string const& tag2, H5::DataType const& t3, std::string const& tag3, H5::DataType const& t4, std::string const& tag4, H5::DataType const& t5, std::string const& tag5, H5::DataType const& t6, std::string const& tag6, H5::DataType const& t7, std::string const& tag7, H5::DataType const& t8, std::string const& tag8, H5::DataType const& t9, std::string const& tag9, H5::DataType const& t10, std::string const& tag10, H5::DataType const& t11, std::string const& tag11, H5::DataType const& t12, std::string const& tag12, H5::DataType const& t13, std::string const& tag13, H5::DataType const& t14, std::string const& tag14, H5::DataType const& t15, std::string const& tag15, H5::DataType const& t16, std::string const& tag16, H5::DataType const& t17, std::string const& tag17, H5::DataType const& t18, std::string const& tag18, H5::DataType const& t19, std::string const& tag19, H5::DataType const& t20, std::string const& tag20, H5::DataType const& t21, std::string const& tag21) {
+  using UnionType = ::InnerUnion22<TInner0, TOuter0, TInner1, TOuter1, TInner2, TOuter2, TInner3, TOuter3, TInner4, TOuter4, TInner5, TOuter5, TInner6, TOuter6, TInner7, TOuter7, TInner8, TOuter8, TInner9, TOuter9, TInner10, TOuter10, TInner11, TOuter11, TInner12, TOuter12, TInner13, TOuter13, TInner14, TOuter14, TInner15, TOuter15, TInner16, TOuter16, TInner17, TOuter17, TInner18, TOuter18, TInner19, TOuter19, TInner20, TOuter20, TInner21, TOuter21>;
   H5::CompType rtn(sizeof(UnionType));
-  rtn.insertMember("$type", HOFFSET(UnionType, type_index_), yardl::hdf5::UnionTypeEnumDdl(nullable, tag0, tag1, tag2, tag3, tag4, tag5, tag6, tag7, tag8, tag9, tag10, tag11, tag12, tag13));
+  rtn.insertMember("$type", HOFFSET(UnionType, type_index_), yardl::hdf5::UnionTypeEnumDdl(nullable, tag0, tag1, tag2, tag3, tag4, tag5, tag6, tag7, tag8, tag9, tag10, tag11, tag12, tag13, tag14, tag15, tag16, tag17, tag18, tag19, tag20, tag21));
   rtn.insertMember(tag0, HOFFSET(UnionType, value0_), t0);
   rtn.insertMember(tag1, HOFFSET(UnionType, value1_), t1);
   rtn.insertMember(tag2, HOFFSET(UnionType, value2_), t2);
@@ -589,6 +701,14 @@ H5::CompType InnerUnion14Ddl(bool nullable, H5::DataType const& t0, std::string
   rtn.insertMember(tag11, HOFFSET(UnionType, value11_), t11);
   rtn.insertMember(tag12, HOFFSET(UnionType, value12_), t12);
   rtn.insertMember(tag13, HOFFSET(UnionType, value13_), t13);
+  rtn.insertMember(tag14, HOFFSET(UnionType, value14_), t14);
+  rtn.insertMember(tag15, HOFFSET(UnionType, value15_), t15);
+  rtn.insertMember(tag16, HOFFSET(UnionType, value16_), t16);
+  rtn.insertMember(tag17, HOFFSET(UnionType, value17_), t17);
+  rtn.insertMember(tag18, HOFFSET(UnionType, value18_), t18);
+  rtn.insertMember(tag19, HOFFSET(UnionType, value19_), t19);
+  rtn.insertMember(tag20, HOFFSET(UnionType, value20_), t20);
+  rtn.insertMember(tag21, HOFFSET(UnionType, value21_), t21);
   return rtn;
 }
 }
@@ -752,6 +872,25 @@ namespace {
   return t;
 }
 
+[[maybe_unused]] H5::EnumType GetRFPulseUseHdf5Ddl() {
+  H5::EnumType t(H5::PredType::NATIVE_INT32);
+  int32_t i = 0;
+  t.insert("undefined", &i);
+  i = 1;
+  t.insert("excitation", &i);
+  i = 2;
+  t.insert("refocusing", &i);
+  i = 3;
+  t.insert("inversion", &i);
+  i = 4;
+  t.insert("saturation", &i);
+  i = 5;
+  t.insert("preparation", &i);
+  i = 6;
+  t.insert("other", &i);
+  return t;
+}
+
 struct _Inner_EncodingCounters {
   _Inner_EncodingCounters() {} 
   _Inner_EncodingCounters(mrd::EncodingCounters const& o) 
@@ -878,6 +1017,22 @@ struct _Inner_Acquisition {
   yardl::hdf5::InnerNdArray<float, float, 2> trajectory;
 };
 
+struct _Inner_AcquisitionPrototype {
+  _Inner_AcquisitionPrototype() {} 
+  _Inner_AcquisitionPrototype(mrd::AcquisitionPrototype const& o) 
+      : head(o.head),
+      data_sample_counts(o.data_sample_counts) {
+  }
+
+  void ToOuter (mrd::AcquisitionPrototype& o) const {
+    yardl::hdf5::ToOuter(head, o.head);
+    yardl::hdf5::ToOuter(data_sample_counts, o.data_sample_counts);
+  }
+
+  mrd::hdf5::_Inner_AcquisitionHeader head;
+  yardl::hdf5::InnerVlen<uint32_t, uint32_t> data_sample_counts;
+};
+
 struct _Inner_SubjectInformationType {
   _Inner_SubjectInformationType() {} 
   _Inner_SubjectInformationType(mrd::SubjectInformationType const& o) 
@@ -1687,6 +1842,59 @@ struct _Inner_ImageArray {
   yardl::hdf5::InnerVlen<mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32> waveforms;
 };
 
+struct _Inner_PulseqDefinitions {
+  _Inner_PulseqDefinitions() {} 
+  _Inner_PulseqDefinitions(mrd::PulseqDefinitions const& o) 
+      : gradient_raster_time(o.gradient_raster_time),
+      radiofrequency_raster_time(o.radiofrequency_raster_time),
+      adc_raster_time(o.adc_raster_time),
+      block_duration_raster(o.block_duration_raster),
+      name(o.name),
+      fov(o.fov),
+      total_duration(o.total_duration),
+      custom(o.custom) {
+  }
+
+  void ToOuter (mrd::PulseqDefinitions& o) const {
+    yardl::hdf5::ToOuter(gradient_raster_time, o.gradient_raster_time);
+    yardl::hdf5::ToOuter(radiofrequency_raster_time, o.radiofrequency_raster_time);
+    yardl::hdf5::ToOuter(adc_raster_time, o.adc_raster_time);
+    yardl::hdf5::ToOuter(block_duration_raster, o.block_duration_raster);
+    yardl::hdf5::ToOuter(name, o.name);
+    yardl::hdf5::ToOuter(fov, o.fov);
+    yardl::hdf5::ToOuter(total_duration, o.total_duration);
+    yardl::hdf5::ToOuter(custom, o.custom);
+  }
+
+  double gradient_raster_time;
+  double radiofrequency_raster_time;
+  double adc_raster_time;
+  double block_duration_raster;
+  yardl::hdf5::InnerOptional<yardl::hdf5::InnerVlenString, std::string> name;
+  yardl::hdf5::InnerOptional<mrd::ThreeDimensionalFloat, mrd::ThreeDimensionalFloat> fov;
+  yardl::hdf5::InnerOptional<double, double> total_duration;
+  yardl::hdf5::InnerMap<yardl::hdf5::InnerVlenString, std::string, yardl::hdf5::InnerVlenString, std::string> custom;
+};
+
+struct _Inner_Shape {
+  _Inner_Shape() {} 
+  _Inner_Shape(mrd::Shape const& o) 
+      : id(o.id),
+      num_samples(o.num_samples),
+      data(o.data) {
+  }
+
+  void ToOuter (mrd::Shape& o) const {
+    yardl::hdf5::ToOuter(id, o.id);
+    yardl::hdf5::ToOuter(num_samples, o.num_samples);
+    yardl::hdf5::ToOuter(data, o.data);
+  }
+
+  int32_t id;
+  uint64_t num_samples;
+  yardl::hdf5::InnerVlen<double, double> data;
+};
+
 [[maybe_unused]] H5::CompType GetEncodingCountersHdf5Ddl() {
   using RecordType = mrd::hdf5::_Inner_EncodingCounters;
   H5::CompType t(sizeof(RecordType));
@@ -1737,6 +1945,14 @@ struct _Inner_ImageArray {
   return t;
 }
 
+[[maybe_unused]] H5::CompType GetAcquisitionPrototypeHdf5Ddl() {
+  using RecordType = mrd::hdf5::_Inner_AcquisitionPrototype;
+  H5::CompType t(sizeof(RecordType));
+  t.insertMember("head", HOFFSET(RecordType, head), mrd::hdf5::GetAcquisitionHeaderHdf5Ddl());
+  t.insertMember("dataSampleCounts", HOFFSET(RecordType, data_sample_counts), yardl::hdf5::InnerVlenDdl(H5::PredType::NATIVE_UINT32));
+  return t;
+}
+
 [[maybe_unused]] H5::CompType GetSubjectInformationTypeHdf5Ddl() {
   using RecordType = mrd::hdf5::_Inner_SubjectInformationType;
   H5::CompType t(sizeof(RecordType));
@@ -2184,6 +2400,101 @@ template <typename _T_Inner, typename T>
   return t;
 }
 
+[[maybe_unused]] H5::CompType GetPulseqDefinitionsHdf5Ddl() {
+  using RecordType = mrd::hdf5::_Inner_PulseqDefinitions;
+  H5::CompType t(sizeof(RecordType));
+  t.insertMember("gradientRasterTime", HOFFSET(RecordType, gradient_raster_time), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("radiofrequencyRasterTime", HOFFSET(RecordType, radiofrequency_raster_time), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("adcRasterTime", HOFFSET(RecordType, adc_raster_time), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("blockDurationRaster", HOFFSET(RecordType, block_duration_raster), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("name", HOFFSET(RecordType, name), yardl::hdf5::OptionalTypeDdl<yardl::hdf5::InnerVlenString, std::string>(yardl::hdf5::InnerVlenStringDdl()));
+  t.insertMember("fov", HOFFSET(RecordType, fov), yardl::hdf5::OptionalTypeDdl<mrd::ThreeDimensionalFloat, mrd::ThreeDimensionalFloat>(mrd::hdf5::GetThreeDimensionalFloatHdf5Ddl()));
+  t.insertMember("totalDuration", HOFFSET(RecordType, total_duration), yardl::hdf5::OptionalTypeDdl<double, double>(H5::PredType::NATIVE_DOUBLE));
+  t.insertMember("custom", HOFFSET(RecordType, custom), yardl::hdf5::InnerMapDdl<yardl::hdf5::InnerVlenString, yardl::hdf5::InnerVlenString>(yardl::hdf5::InnerVlenStringDdl(), yardl::hdf5::InnerVlenStringDdl()));
+  return t;
+}
+
+[[maybe_unused]] H5::CompType GetBlockHdf5Ddl() {
+  using RecordType = mrd::Block;
+  H5::CompType t(sizeof(RecordType));
+  t.insertMember("id", HOFFSET(RecordType, id), H5::PredType::NATIVE_INT32);
+  t.insertMember("duration", HOFFSET(RecordType, duration), H5::PredType::NATIVE_UINT64);
+  t.insertMember("rf", HOFFSET(RecordType, rf), H5::PredType::NATIVE_INT32);
+  t.insertMember("gx", HOFFSET(RecordType, gx), H5::PredType::NATIVE_INT32);
+  t.insertMember("gy", HOFFSET(RecordType, gy), H5::PredType::NATIVE_INT32);
+  t.insertMember("gz", HOFFSET(RecordType, gz), H5::PredType::NATIVE_INT32);
+  t.insertMember("adc", HOFFSET(RecordType, adc), H5::PredType::NATIVE_INT32);
+  t.insertMember("ext", HOFFSET(RecordType, ext), H5::PredType::NATIVE_INT32);
+  return t;
+}
+
+[[maybe_unused]] H5::CompType GetRFEventHdf5Ddl() {
+  using RecordType = mrd::RFEvent;
+  H5::CompType t(sizeof(RecordType));
+  t.insertMember("id", HOFFSET(RecordType, id), H5::PredType::NATIVE_INT32);
+  t.insertMember("amp", HOFFSET(RecordType, amp), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("magId", HOFFSET(RecordType, mag_id), H5::PredType::NATIVE_INT32);
+  t.insertMember("phaseId", HOFFSET(RecordType, phase_id), H5::PredType::NATIVE_INT32);
+  t.insertMember("timeId", HOFFSET(RecordType, time_id), H5::PredType::NATIVE_INT32);
+  t.insertMember("center", HOFFSET(RecordType, center), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("delay", HOFFSET(RecordType, delay), H5::PredType::NATIVE_UINT64);
+  t.insertMember("freqPPM", HOFFSET(RecordType, freq_ppm), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("phasePPM", HOFFSET(RecordType, phase_ppm), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("freqOffset", HOFFSET(RecordType, freq_offset), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("phaseOffset", HOFFSET(RecordType, phase_offset), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("use", HOFFSET(RecordType, use), mrd::hdf5::GetRFPulseUseHdf5Ddl());
+  return t;
+}
+
+[[maybe_unused]] H5::CompType GetArbitraryGradientHdf5Ddl() {
+  using RecordType = mrd::ArbitraryGradient;
+  H5::CompType t(sizeof(RecordType));
+  t.insertMember("id", HOFFSET(RecordType, id), H5::PredType::NATIVE_INT32);
+  t.insertMember("amp", HOFFSET(RecordType, amp), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("first", HOFFSET(RecordType, first), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("last", HOFFSET(RecordType, last), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("shapeId", HOFFSET(RecordType, shape_id), H5::PredType::NATIVE_INT32);
+  t.insertMember("timeId", HOFFSET(RecordType, time_id), H5::PredType::NATIVE_INT32);
+  t.insertMember("delay", HOFFSET(RecordType, delay), H5::PredType::NATIVE_UINT64);
+  return t;
+}
+
+[[maybe_unused]] H5::CompType GetTrapezoidalGradientHdf5Ddl() {
+  using RecordType = mrd::TrapezoidalGradient;
+  H5::CompType t(sizeof(RecordType));
+  t.insertMember("id", HOFFSET(RecordType, id), H5::PredType::NATIVE_INT32);
+  t.insertMember("amp", HOFFSET(RecordType, amp), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("rise", HOFFSET(RecordType, rise), H5::PredType::NATIVE_UINT64);
+  t.insertMember("flat", HOFFSET(RecordType, flat), H5::PredType::NATIVE_UINT64);
+  t.insertMember("fall", HOFFSET(RecordType, fall), H5::PredType::NATIVE_UINT64);
+  t.insertMember("delay", HOFFSET(RecordType, delay), H5::PredType::NATIVE_UINT64);
+  return t;
+}
+
+[[maybe_unused]] H5::CompType GetADCEventHdf5Ddl() {
+  using RecordType = mrd::ADCEvent;
+  H5::CompType t(sizeof(RecordType));
+  t.insertMember("id", HOFFSET(RecordType, id), H5::PredType::NATIVE_INT32);
+  t.insertMember("num", HOFFSET(RecordType, num), H5::PredType::NATIVE_UINT64);
+  t.insertMember("dwell", HOFFSET(RecordType, dwell), H5::PredType::NATIVE_FLOAT);
+  t.insertMember("delay", HOFFSET(RecordType, delay), H5::PredType::NATIVE_UINT64);
+  t.insertMember("freqPPM", HOFFSET(RecordType, freq_ppm), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("phasePPM", HOFFSET(RecordType, phase_ppm), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("freq", HOFFSET(RecordType, freq), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("phase", HOFFSET(RecordType, phase), H5::PredType::NATIVE_DOUBLE);
+  t.insertMember("phaseShapeId", HOFFSET(RecordType, phase_shape_id), H5::PredType::NATIVE_INT32);
+  return t;
+}
+
+[[maybe_unused]] H5::CompType GetShapeHdf5Ddl() {
+  using RecordType = mrd::hdf5::_Inner_Shape;
+  H5::CompType t(sizeof(RecordType));
+  t.insertMember("id", HOFFSET(RecordType, id), H5::PredType::NATIVE_INT32);
+  t.insertMember("numSamples", HOFFSET(RecordType, num_samples), H5::PredType::NATIVE_UINT64);
+  t.insertMember("data", HOFFSET(RecordType, data), yardl::hdf5::InnerVlenDdl(H5::PredType::NATIVE_DOUBLE));
+  return t;
+}
+
 } // namespace 
 
 MrdWriter::MrdWriter(std::string path)
@@ -2196,7 +2507,7 @@ void MrdWriter::WriteHeaderImpl(std::optional<mrd::Header> const& value) {
 
 void MrdWriter::WriteDataImpl(mrd::StreamItem const& value) {
   if (!data_dataset_state_) {
-    data_dataset_state_ = std::make_unique<yardl::hdf5::UnionDatasetWriter<14>>(group_, "data", false, std::make_tuple(mrd::hdf5::GetAcquisitionHdf5Ddl(), "Acquisition", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetWaveformHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "WaveformUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint16_t, uint16_t>(H5::PredType::NATIVE_UINT16), "ImageUint16", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int16_t, int16_t>(H5::PredType::NATIVE_INT16), "ImageInt16", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "ImageUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int32_t, int32_t>(H5::PredType::NATIVE_INT32), "ImageInt32", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<float, float>(H5::PredType::NATIVE_FLOAT), "ImageFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<double, double>(H5::PredType::NATIVE_DOUBLE), "ImageDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "ImageComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<double>, std::complex<double>>(yardl::hdf5::ComplexTypeDdl<double>()), "ImageComplexDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetAcquisitionBucketHdf5Ddl(), "AcquisitionBucket", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetReconDataHdf5Ddl(), "ReconData", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(yardl::hdf5::DynamicNDArrayDdl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "ArrayComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageArrayHdf5Ddl(), "ImageArray", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))));
+    data_dataset_state_ = std::make_unique<yardl::hdf5::UnionDatasetWriter<22>>(group_, "data", false, std::make_tuple(mrd::hdf5::GetAcquisitionHdf5Ddl(), "acquisition", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetAcquisitionPrototypeHdf5Ddl(), "acquisitionPrototype", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetWaveformHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "waveformUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint16_t, uint16_t>(H5::PredType::NATIVE_UINT16), "imageUint16", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int16_t, int16_t>(H5::PredType::NATIVE_INT16), "imageInt16", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "imageUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int32_t, int32_t>(H5::PredType::NATIVE_INT32), "imageInt32", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<float, float>(H5::PredType::NATIVE_FLOAT), "imageFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<double, double>(H5::PredType::NATIVE_DOUBLE), "imageDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "imageComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<double>, std::complex<double>>(yardl::hdf5::ComplexTypeDdl<double>()), "imageComplexDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetAcquisitionBucketHdf5Ddl(), "acquisitionBucket", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetReconDataHdf5Ddl(), "reconData", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(yardl::hdf5::DynamicNDArrayDdl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "arrayComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageArrayHdf5Ddl(), "imageArray", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetPulseqDefinitionsHdf5Ddl(), "pulseqDefinitions", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(yardl::hdf5::InnerVlenDdl(mrd::hdf5::GetBlockHdf5Ddl()), "blocks", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetRFEventHdf5Ddl(), "rf", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetArbitraryGradientHdf5Ddl(), "arbitraryGradient", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetTrapezoidalGradientHdf5Ddl(), "trapezoidalGradient", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetADCEventHdf5Ddl(), "adc", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetShapeHdf5Ddl(), "shape", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))));
   }
 
   std::visit(
@@ -2204,6 +2515,8 @@ void MrdWriter::WriteDataImpl(mrd::StreamItem const& value) {
       using T = std::decay_t<decltype(arg)>;
       if constexpr (std::is_same_v<T, mrd::Acquisition>) {
         data_dataset_state_->Append<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition>(static_cast<int8_t>(value.index()), arg);
+      } else if constexpr (std::is_same_v<T, mrd::AcquisitionPrototype>) {
+        data_dataset_state_->Append<mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype>(static_cast<int8_t>(value.index()), arg);
       } else if constexpr (std::is_same_v<T, mrd::WaveformUint32>) {
         data_dataset_state_->Append<mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32>(static_cast<int8_t>(value.index()), arg);
       } else if constexpr (std::is_same_v<T, mrd::ImageUint16>) {
@@ -2230,6 +2543,20 @@ void MrdWriter::WriteDataImpl(mrd::StreamItem const& value) {
         data_dataset_state_->Append<yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat>(static_cast<int8_t>(value.index()), arg);
       } else if constexpr (std::is_same_v<T, mrd::ImageArray>) {
         data_dataset_state_->Append<mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>(static_cast<int8_t>(value.index()), arg);
+      } else if constexpr (std::is_same_v<T, mrd::PulseqDefinitions>) {
+        data_dataset_state_->Append<mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions>(static_cast<int8_t>(value.index()), arg);
+      } else if constexpr (std::is_same_v<T, std::vector<mrd::Block>>) {
+        data_dataset_state_->Append<yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>>(static_cast<int8_t>(value.index()), arg);
+      } else if constexpr (std::is_same_v<T, mrd::RFEvent>) {
+        data_dataset_state_->Append<mrd::RFEvent, mrd::RFEvent>(static_cast<int8_t>(value.index()), arg);
+      } else if constexpr (std::is_same_v<T, mrd::ArbitraryGradient>) {
+        data_dataset_state_->Append<mrd::ArbitraryGradient, mrd::ArbitraryGradient>(static_cast<int8_t>(value.index()), arg);
+      } else if constexpr (std::is_same_v<T, mrd::TrapezoidalGradient>) {
+        data_dataset_state_->Append<mrd::TrapezoidalGradient, mrd::TrapezoidalGradient>(static_cast<int8_t>(value.index()), arg);
+      } else if constexpr (std::is_same_v<T, mrd::ADCEvent>) {
+        data_dataset_state_->Append<mrd::ADCEvent, mrd::ADCEvent>(static_cast<int8_t>(value.index()), arg);
+      } else if constexpr (std::is_same_v<T, mrd::Shape>) {
+        data_dataset_state_->Append<mrd::hdf5::_Inner_Shape, mrd::Shape>(static_cast<int8_t>(value.index()), arg);
       } else {
         static_assert(yardl::hdf5::always_false_v<T>, "non-exhaustive visitor!");
       }
@@ -2239,7 +2566,7 @@ void MrdWriter::WriteDataImpl(mrd::StreamItem const& value) {
 
 void MrdWriter::EndDataImpl() {
   if (!data_dataset_state_) {
-    data_dataset_state_ = std::make_unique<yardl::hdf5::UnionDatasetWriter<14>>(group_, "data", false, std::make_tuple(mrd::hdf5::GetAcquisitionHdf5Ddl(), "Acquisition", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetWaveformHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "WaveformUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint16_t, uint16_t>(H5::PredType::NATIVE_UINT16), "ImageUint16", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int16_t, int16_t>(H5::PredType::NATIVE_INT16), "ImageInt16", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "ImageUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int32_t, int32_t>(H5::PredType::NATIVE_INT32), "ImageInt32", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<float, float>(H5::PredType::NATIVE_FLOAT), "ImageFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<double, double>(H5::PredType::NATIVE_DOUBLE), "ImageDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "ImageComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<double>, std::complex<double>>(yardl::hdf5::ComplexTypeDdl<double>()), "ImageComplexDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetAcquisitionBucketHdf5Ddl(), "AcquisitionBucket", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetReconDataHdf5Ddl(), "ReconData", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(yardl::hdf5::DynamicNDArrayDdl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "ArrayComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageArrayHdf5Ddl(), "ImageArray", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))));
+    data_dataset_state_ = std::make_unique<yardl::hdf5::UnionDatasetWriter<22>>(group_, "data", false, std::make_tuple(mrd::hdf5::GetAcquisitionHdf5Ddl(), "acquisition", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetAcquisitionPrototypeHdf5Ddl(), "acquisitionPrototype", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetWaveformHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "waveformUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint16_t, uint16_t>(H5::PredType::NATIVE_UINT16), "imageUint16", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int16_t, int16_t>(H5::PredType::NATIVE_INT16), "imageInt16", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "imageUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int32_t, int32_t>(H5::PredType::NATIVE_INT32), "imageInt32", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<float, float>(H5::PredType::NATIVE_FLOAT), "imageFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<double, double>(H5::PredType::NATIVE_DOUBLE), "imageDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "imageComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<double>, std::complex<double>>(yardl::hdf5::ComplexTypeDdl<double>()), "imageComplexDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetAcquisitionBucketHdf5Ddl(), "acquisitionBucket", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetReconDataHdf5Ddl(), "reconData", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(yardl::hdf5::DynamicNDArrayDdl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "arrayComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageArrayHdf5Ddl(), "imageArray", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetPulseqDefinitionsHdf5Ddl(), "pulseqDefinitions", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(yardl::hdf5::InnerVlenDdl(mrd::hdf5::GetBlockHdf5Ddl()), "blocks", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetRFEventHdf5Ddl(), "rf", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetArbitraryGradientHdf5Ddl(), "arbitraryGradient", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetTrapezoidalGradientHdf5Ddl(), "trapezoidalGradient", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetADCEventHdf5Ddl(), "adc", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetShapeHdf5Ddl(), "shape", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))));
   }
 
   data_dataset_state_.reset();
@@ -2261,7 +2588,7 @@ void MrdReader::ReadHeaderImpl(std::optional<mrd::Header>& value) {
 
 bool MrdReader::ReadDataImpl(mrd::StreamItem& value) {
   if (!data_dataset_state_) {
-    data_dataset_state_ = std::make_unique<yardl::hdf5::UnionDatasetReader<14>>(group_, "data", false, std::make_tuple(mrd::hdf5::GetAcquisitionHdf5Ddl(), "Acquisition", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetWaveformHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "WaveformUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint16_t, uint16_t>(H5::PredType::NATIVE_UINT16), "ImageUint16", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int16_t, int16_t>(H5::PredType::NATIVE_INT16), "ImageInt16", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "ImageUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int32_t, int32_t>(H5::PredType::NATIVE_INT32), "ImageInt32", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<float, float>(H5::PredType::NATIVE_FLOAT), "ImageFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<double, double>(H5::PredType::NATIVE_DOUBLE), "ImageDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "ImageComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<double>, std::complex<double>>(yardl::hdf5::ComplexTypeDdl<double>()), "ImageComplexDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetAcquisitionBucketHdf5Ddl(), "AcquisitionBucket", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetReconDataHdf5Ddl(), "ReconData", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(yardl::hdf5::DynamicNDArrayDdl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "ArrayComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))), std::make_tuple(mrd::hdf5::GetImageArrayHdf5Ddl(), "ImageArray", static_cast<size_t>(std::max(sizeof(::InnerUnion14<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>), sizeof(std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>)))));
+    data_dataset_state_ = std::make_unique<yardl::hdf5::UnionDatasetReader<22>>(group_, "data", false, std::make_tuple(mrd::hdf5::GetAcquisitionHdf5Ddl(), "acquisition", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetAcquisitionPrototypeHdf5Ddl(), "acquisitionPrototype", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetWaveformHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "waveformUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint16_t, uint16_t>(H5::PredType::NATIVE_UINT16), "imageUint16", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int16_t, int16_t>(H5::PredType::NATIVE_INT16), "imageInt16", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<uint32_t, uint32_t>(H5::PredType::NATIVE_UINT32), "imageUint32", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<int32_t, int32_t>(H5::PredType::NATIVE_INT32), "imageInt32", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<float, float>(H5::PredType::NATIVE_FLOAT), "imageFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<double, double>(H5::PredType::NATIVE_DOUBLE), "imageDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "imageComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageHdf5Ddl<std::complex<double>, std::complex<double>>(yardl::hdf5::ComplexTypeDdl<double>()), "imageComplexDouble", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetAcquisitionBucketHdf5Ddl(), "acquisitionBucket", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetReconDataHdf5Ddl(), "reconData", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(yardl::hdf5::DynamicNDArrayDdl<std::complex<float>, std::complex<float>>(yardl::hdf5::ComplexTypeDdl<float>()), "arrayComplexFloat", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetImageArrayHdf5Ddl(), "imageArray", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetPulseqDefinitionsHdf5Ddl(), "pulseqDefinitions", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(yardl::hdf5::InnerVlenDdl(mrd::hdf5::GetBlockHdf5Ddl()), "blocks", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetRFEventHdf5Ddl(), "rf", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetArbitraryGradientHdf5Ddl(), "arbitraryGradient", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetTrapezoidalGradientHdf5Ddl(), "trapezoidalGradient", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetADCEventHdf5Ddl(), "adc", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))), std::make_tuple(mrd::hdf5::GetShapeHdf5Ddl(), "shape", static_cast<size_t>(std::max(sizeof(::InnerUnion22<mrd::hdf5::_Inner_Acquisition, mrd::Acquisition, mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype, mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32, mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16, mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16, mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32, mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32, mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat, mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble, mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat, mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble, mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket, mrd::hdf5::_Inner_ReconData, mrd::ReconData, yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat, mrd::hdf5::_Inner_ImageArray, mrd::ImageArray, mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions, yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>, mrd::RFEvent, mrd::RFEvent, mrd::ArbitraryGradient, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::ADCEvent, mrd::hdf5::_Inner_Shape, mrd::Shape>), sizeof(std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>)))));
   }
 
   auto [has_result, type_index, reader] = data_dataset_state_->ReadIndex();
@@ -2277,70 +2604,110 @@ bool MrdReader::ReadDataImpl(mrd::StreamItem& value) {
     break;
   }
   case 1: {
-    mrd::WaveformUint32& ref = value.emplace<1>();
-    reader->Read<mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32>(ref);
+    mrd::AcquisitionPrototype& ref = value.emplace<1>();
+    reader->Read<mrd::hdf5::_Inner_AcquisitionPrototype, mrd::AcquisitionPrototype>(ref);
     break;
   }
   case 2: {
-    mrd::ImageUint16& ref = value.emplace<2>();
-    reader->Read<mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16>(ref);
+    mrd::WaveformUint32& ref = value.emplace<2>();
+    reader->Read<mrd::hdf5::_Inner_Waveform<uint32_t, uint32_t>, mrd::WaveformUint32>(ref);
     break;
   }
   case 3: {
-    mrd::ImageInt16& ref = value.emplace<3>();
-    reader->Read<mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16>(ref);
+    mrd::ImageUint16& ref = value.emplace<3>();
+    reader->Read<mrd::hdf5::_Inner_Image<uint16_t, uint16_t>, mrd::ImageUint16>(ref);
     break;
   }
   case 4: {
-    mrd::ImageUint32& ref = value.emplace<4>();
-    reader->Read<mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32>(ref);
+    mrd::ImageInt16& ref = value.emplace<4>();
+    reader->Read<mrd::hdf5::_Inner_Image<int16_t, int16_t>, mrd::ImageInt16>(ref);
     break;
   }
   case 5: {
-    mrd::ImageInt32& ref = value.emplace<5>();
-    reader->Read<mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32>(ref);
+    mrd::ImageUint32& ref = value.emplace<5>();
+    reader->Read<mrd::hdf5::_Inner_Image<uint32_t, uint32_t>, mrd::ImageUint32>(ref);
     break;
   }
   case 6: {
-    mrd::ImageFloat& ref = value.emplace<6>();
-    reader->Read<mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat>(ref);
+    mrd::ImageInt32& ref = value.emplace<6>();
+    reader->Read<mrd::hdf5::_Inner_Image<int32_t, int32_t>, mrd::ImageInt32>(ref);
     break;
   }
   case 7: {
-    mrd::ImageDouble& ref = value.emplace<7>();
-    reader->Read<mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble>(ref);
+    mrd::ImageFloat& ref = value.emplace<7>();
+    reader->Read<mrd::hdf5::_Inner_Image<float, float>, mrd::ImageFloat>(ref);
     break;
   }
   case 8: {
-    mrd::ImageComplexFloat& ref = value.emplace<8>();
-    reader->Read<mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat>(ref);
+    mrd::ImageDouble& ref = value.emplace<8>();
+    reader->Read<mrd::hdf5::_Inner_Image<double, double>, mrd::ImageDouble>(ref);
     break;
   }
   case 9: {
-    mrd::ImageComplexDouble& ref = value.emplace<9>();
-    reader->Read<mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble>(ref);
+    mrd::ImageComplexFloat& ref = value.emplace<9>();
+    reader->Read<mrd::hdf5::_Inner_Image<std::complex<float>, std::complex<float>>, mrd::ImageComplexFloat>(ref);
     break;
   }
   case 10: {
-    mrd::AcquisitionBucket& ref = value.emplace<10>();
-    reader->Read<mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket>(ref);
+    mrd::ImageComplexDouble& ref = value.emplace<10>();
+    reader->Read<mrd::hdf5::_Inner_Image<std::complex<double>, std::complex<double>>, mrd::ImageComplexDouble>(ref);
     break;
   }
   case 11: {
-    mrd::ReconData& ref = value.emplace<11>();
-    reader->Read<mrd::hdf5::_Inner_ReconData, mrd::ReconData>(ref);
+    mrd::AcquisitionBucket& ref = value.emplace<11>();
+    reader->Read<mrd::hdf5::_Inner_AcquisitionBucket, mrd::AcquisitionBucket>(ref);
     break;
   }
   case 12: {
-    mrd::ArrayComplexFloat& ref = value.emplace<12>();
-    reader->Read<yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat>(ref);
+    mrd::ReconData& ref = value.emplace<12>();
+    reader->Read<mrd::hdf5::_Inner_ReconData, mrd::ReconData>(ref);
     break;
   }
   case 13: {
-    mrd::ImageArray& ref = value.emplace<13>();
+    mrd::ArrayComplexFloat& ref = value.emplace<13>();
+    reader->Read<yardl::hdf5::InnerDynamicNdArray<std::complex<float>, std::complex<float>>, mrd::ArrayComplexFloat>(ref);
+    break;
+  }
+  case 14: {
+    mrd::ImageArray& ref = value.emplace<14>();
     reader->Read<mrd::hdf5::_Inner_ImageArray, mrd::ImageArray>(ref);
     break;
   }
+  case 15: {
+    mrd::PulseqDefinitions& ref = value.emplace<15>();
+    reader->Read<mrd::hdf5::_Inner_PulseqDefinitions, mrd::PulseqDefinitions>(ref);
+    break;
+  }
+  case 16: {
+    std::vector<mrd::Block>& ref = value.emplace<16>();
+    reader->Read<yardl::hdf5::InnerVlen<mrd::Block, mrd::Block>, std::vector<mrd::Block>>(ref);
+    break;
+  }
+  case 17: {
+    mrd::RFEvent& ref = value.emplace<17>();
+    reader->Read<mrd::RFEvent, mrd::RFEvent>(ref);
+    break;
+  }
+  case 18: {
+    mrd::ArbitraryGradient& ref = value.emplace<18>();
+    reader->Read<mrd::ArbitraryGradient, mrd::ArbitraryGradient>(ref);
+    break;
+  }
+  case 19: {
+    mrd::TrapezoidalGradient& ref = value.emplace<19>();
+    reader->Read<mrd::TrapezoidalGradient, mrd::TrapezoidalGradient>(ref);
+    break;
+  }
+  case 20: {
+    mrd::ADCEvent& ref = value.emplace<20>();
+    reader->Read<mrd::ADCEvent, mrd::ADCEvent>(ref);
+    break;
+  }
+  case 21: {
+    mrd::Shape& ref = value.emplace<21>();
+    reader->Read<mrd::hdf5::_Inner_Shape, mrd::Shape>(ref);
+    break;
+  }
   }
 
   return true;
diff --git a/cpp/mrd/hdf5/protocols.h b/cpp/mrd/hdf5/protocols.h
index 1822992f..bb64d3fa 100644
--- a/cpp/mrd/hdf5/protocols.h
+++ b/cpp/mrd/hdf5/protocols.h
@@ -28,7 +28,7 @@ class MrdWriter : public mrd::MrdWriterBase, public yardl::hdf5::Hdf5Writer {
   void Flush() override;
 
   private:
-  std::unique_ptr<yardl::hdf5::UnionDatasetWriter<14>> data_dataset_state_;
+  std::unique_ptr<yardl::hdf5::UnionDatasetWriter<22>> data_dataset_state_;
 };
 
 // HDF5 reader for the Mrd protocol.
@@ -42,7 +42,7 @@ class MrdReader : public mrd::MrdReaderBase, public yardl::hdf5::Hdf5Reader {
   bool ReadDataImpl(mrd::StreamItem& value) override;
 
   private:
-  std::unique_ptr<yardl::hdf5::UnionDatasetReader<14>> data_dataset_state_;
+  std::unique_ptr<yardl::hdf5::UnionDatasetReader<22>> data_dataset_state_;
 };
 
 // HDF5 writer for the MrdNoiseCovariance protocol.
diff --git a/cpp/mrd/ndjson/protocols.cc b/cpp/mrd/ndjson/protocols.cc
index 70357602..38a0a0bc 100644
--- a/cpp/mrd/ndjson/protocols.cc
+++ b/cpp/mrd/ndjson/protocols.cc
@@ -18,6 +18,9 @@ void from_json(ordered_json const& j, mrd::AcquisitionHeader& value);
 void to_json(ordered_json& j, mrd::Acquisition const& value);
 void from_json(ordered_json const& j, mrd::Acquisition& value);
 
+void to_json(ordered_json& j, mrd::AcquisitionPrototype const& value);
+void from_json(ordered_json const& j, mrd::AcquisitionPrototype& value);
+
 void to_json(ordered_json& j, mrd::PatientGender const& value);
 void from_json(ordered_json const& j, mrd::PatientGender& value);
 
@@ -175,6 +178,30 @@ void from_json(ordered_json const& j, mrd::ReconData& value);
 void to_json(ordered_json& j, mrd::ImageArray const& value);
 void from_json(ordered_json const& j, mrd::ImageArray& value);
 
+void to_json(ordered_json& j, mrd::PulseqDefinitions const& value);
+void from_json(ordered_json const& j, mrd::PulseqDefinitions& value);
+
+void to_json(ordered_json& j, mrd::Block const& value);
+void from_json(ordered_json const& j, mrd::Block& value);
+
+void to_json(ordered_json& j, mrd::RFPulseUse const& value);
+void from_json(ordered_json const& j, mrd::RFPulseUse& value);
+
+void to_json(ordered_json& j, mrd::RFEvent const& value);
+void from_json(ordered_json const& j, mrd::RFEvent& value);
+
+void to_json(ordered_json& j, mrd::ArbitraryGradient const& value);
+void from_json(ordered_json const& j, mrd::ArbitraryGradient& value);
+
+void to_json(ordered_json& j, mrd::TrapezoidalGradient const& value);
+void from_json(ordered_json const& j, mrd::TrapezoidalGradient& value);
+
+void to_json(ordered_json& j, mrd::ADCEvent const& value);
+void from_json(ordered_json const& j, mrd::ADCEvent& value);
+
+void to_json(ordered_json& j, mrd::Shape const& value);
+void from_json(ordered_json const& j, mrd::Shape& value);
+
 } // namespace mrd
 
 NLOHMANN_JSON_NAMESPACE_BEGIN
@@ -287,115 +314,171 @@ struct adl_serializer<std::variant<mrd::Image<uint16_t>, mrd::Image<int16_t>, mr
 };
 
 template <>
-struct adl_serializer<std::variant<mrd::Acquisition, mrd::Waveform<uint32_t>, mrd::Image<uint16_t>, mrd::Image<int16_t>, mrd::Image<uint32_t>, mrd::Image<int32_t>, mrd::Image<float>, mrd::Image<double>, mrd::Image<std::complex<float>>, mrd::Image<std::complex<double>>, mrd::AcquisitionBucket, mrd::ReconData, yardl::DynamicNDArray<std::complex<float>>, mrd::ImageArray>> {
-  static void to_json(ordered_json& j, std::variant<mrd::Acquisition, mrd::Waveform<uint32_t>, mrd::Image<uint16_t>, mrd::Image<int16_t>, mrd::Image<uint32_t>, mrd::Image<int32_t>, mrd::Image<float>, mrd::Image<double>, mrd::Image<std::complex<float>>, mrd::Image<std::complex<double>>, mrd::AcquisitionBucket, mrd::ReconData, yardl::DynamicNDArray<std::complex<float>>, mrd::ImageArray> const& value) {
+struct adl_serializer<std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::Waveform<uint32_t>, mrd::Image<uint16_t>, mrd::Image<int16_t>, mrd::Image<uint32_t>, mrd::Image<int32_t>, mrd::Image<float>, mrd::Image<double>, mrd::Image<std::complex<float>>, mrd::Image<std::complex<double>>, mrd::AcquisitionBucket, mrd::ReconData, yardl::DynamicNDArray<std::complex<float>>, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>> {
+  static void to_json(ordered_json& j, std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::Waveform<uint32_t>, mrd::Image<uint16_t>, mrd::Image<int16_t>, mrd::Image<uint32_t>, mrd::Image<int32_t>, mrd::Image<float>, mrd::Image<double>, mrd::Image<std::complex<float>>, mrd::Image<std::complex<double>>, mrd::AcquisitionBucket, mrd::ReconData, yardl::DynamicNDArray<std::complex<float>>, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape> const& value) {
     switch (value.index()) {
       case 0:
-        j = ordered_json{ {"Acquisition", std::get<mrd::Acquisition>(value)} };
+        j = ordered_json{ {"acquisition", std::get<mrd::Acquisition>(value)} };
         break;
       case 1:
-        j = ordered_json{ {"WaveformUint32", std::get<mrd::Waveform<uint32_t>>(value)} };
+        j = ordered_json{ {"acquisitionPrototype", std::get<mrd::AcquisitionPrototype>(value)} };
         break;
       case 2:
-        j = ordered_json{ {"ImageUint16", std::get<mrd::Image<uint16_t>>(value)} };
+        j = ordered_json{ {"waveformUint32", std::get<mrd::Waveform<uint32_t>>(value)} };
         break;
       case 3:
-        j = ordered_json{ {"ImageInt16", std::get<mrd::Image<int16_t>>(value)} };
+        j = ordered_json{ {"imageUint16", std::get<mrd::Image<uint16_t>>(value)} };
         break;
       case 4:
-        j = ordered_json{ {"ImageUint32", std::get<mrd::Image<uint32_t>>(value)} };
+        j = ordered_json{ {"imageInt16", std::get<mrd::Image<int16_t>>(value)} };
         break;
       case 5:
-        j = ordered_json{ {"ImageInt32", std::get<mrd::Image<int32_t>>(value)} };
+        j = ordered_json{ {"imageUint32", std::get<mrd::Image<uint32_t>>(value)} };
         break;
       case 6:
-        j = ordered_json{ {"ImageFloat", std::get<mrd::Image<float>>(value)} };
+        j = ordered_json{ {"imageInt32", std::get<mrd::Image<int32_t>>(value)} };
         break;
       case 7:
-        j = ordered_json{ {"ImageDouble", std::get<mrd::Image<double>>(value)} };
+        j = ordered_json{ {"imageFloat", std::get<mrd::Image<float>>(value)} };
         break;
       case 8:
-        j = ordered_json{ {"ImageComplexFloat", std::get<mrd::Image<std::complex<float>>>(value)} };
+        j = ordered_json{ {"imageDouble", std::get<mrd::Image<double>>(value)} };
         break;
       case 9:
-        j = ordered_json{ {"ImageComplexDouble", std::get<mrd::Image<std::complex<double>>>(value)} };
+        j = ordered_json{ {"imageComplexFloat", std::get<mrd::Image<std::complex<float>>>(value)} };
         break;
       case 10:
-        j = ordered_json{ {"AcquisitionBucket", std::get<mrd::AcquisitionBucket>(value)} };
+        j = ordered_json{ {"imageComplexDouble", std::get<mrd::Image<std::complex<double>>>(value)} };
         break;
       case 11:
-        j = ordered_json{ {"ReconData", std::get<mrd::ReconData>(value)} };
+        j = ordered_json{ {"acquisitionBucket", std::get<mrd::AcquisitionBucket>(value)} };
         break;
       case 12:
-        j = ordered_json{ {"ArrayComplexFloat", std::get<yardl::DynamicNDArray<std::complex<float>>>(value)} };
+        j = ordered_json{ {"reconData", std::get<mrd::ReconData>(value)} };
         break;
       case 13:
-        j = ordered_json{ {"ImageArray", std::get<mrd::ImageArray>(value)} };
+        j = ordered_json{ {"arrayComplexFloat", std::get<yardl::DynamicNDArray<std::complex<float>>>(value)} };
+        break;
+      case 14:
+        j = ordered_json{ {"imageArray", std::get<mrd::ImageArray>(value)} };
+        break;
+      case 15:
+        j = ordered_json{ {"pulseqDefinitions", std::get<mrd::PulseqDefinitions>(value)} };
+        break;
+      case 16:
+        j = ordered_json{ {"blocks", std::get<std::vector<mrd::Block>>(value)} };
+        break;
+      case 17:
+        j = ordered_json{ {"rf", std::get<mrd::RFEvent>(value)} };
+        break;
+      case 18:
+        j = ordered_json{ {"arbitraryGradient", std::get<mrd::ArbitraryGradient>(value)} };
+        break;
+      case 19:
+        j = ordered_json{ {"trapezoidalGradient", std::get<mrd::TrapezoidalGradient>(value)} };
+        break;
+      case 20:
+        j = ordered_json{ {"adc", std::get<mrd::ADCEvent>(value)} };
+        break;
+      case 21:
+        j = ordered_json{ {"shape", std::get<mrd::Shape>(value)} };
         break;
       default:
         throw std::runtime_error("Invalid union value");
     }
   }
 
-  static void from_json(ordered_json const& j, std::variant<mrd::Acquisition, mrd::Waveform<uint32_t>, mrd::Image<uint16_t>, mrd::Image<int16_t>, mrd::Image<uint32_t>, mrd::Image<int32_t>, mrd::Image<float>, mrd::Image<double>, mrd::Image<std::complex<float>>, mrd::Image<std::complex<double>>, mrd::AcquisitionBucket, mrd::ReconData, yardl::DynamicNDArray<std::complex<float>>, mrd::ImageArray>& value) {
+  static void from_json(ordered_json const& j, std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::Waveform<uint32_t>, mrd::Image<uint16_t>, mrd::Image<int16_t>, mrd::Image<uint32_t>, mrd::Image<int32_t>, mrd::Image<float>, mrd::Image<double>, mrd::Image<std::complex<float>>, mrd::Image<std::complex<double>>, mrd::AcquisitionBucket, mrd::ReconData, yardl::DynamicNDArray<std::complex<float>>, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>& value) {
     auto it = j.begin();
     std::string tag = it.key();
-    if (tag == "Acquisition") {
+    if (tag == "acquisition") {
       value = it.value().get<mrd::Acquisition>();
       return;
     }
-    if (tag == "WaveformUint32") {
+    if (tag == "acquisitionPrototype") {
+      value = it.value().get<mrd::AcquisitionPrototype>();
+      return;
+    }
+    if (tag == "waveformUint32") {
       value = it.value().get<mrd::Waveform<uint32_t>>();
       return;
     }
-    if (tag == "ImageUint16") {
+    if (tag == "imageUint16") {
       value = it.value().get<mrd::Image<uint16_t>>();
       return;
     }
-    if (tag == "ImageInt16") {
+    if (tag == "imageInt16") {
       value = it.value().get<mrd::Image<int16_t>>();
       return;
     }
-    if (tag == "ImageUint32") {
+    if (tag == "imageUint32") {
       value = it.value().get<mrd::Image<uint32_t>>();
       return;
     }
-    if (tag == "ImageInt32") {
+    if (tag == "imageInt32") {
       value = it.value().get<mrd::Image<int32_t>>();
       return;
     }
-    if (tag == "ImageFloat") {
+    if (tag == "imageFloat") {
       value = it.value().get<mrd::Image<float>>();
       return;
     }
-    if (tag == "ImageDouble") {
+    if (tag == "imageDouble") {
       value = it.value().get<mrd::Image<double>>();
       return;
     }
-    if (tag == "ImageComplexFloat") {
+    if (tag == "imageComplexFloat") {
       value = it.value().get<mrd::Image<std::complex<float>>>();
       return;
     }
-    if (tag == "ImageComplexDouble") {
+    if (tag == "imageComplexDouble") {
       value = it.value().get<mrd::Image<std::complex<double>>>();
       return;
     }
-    if (tag == "AcquisitionBucket") {
+    if (tag == "acquisitionBucket") {
       value = it.value().get<mrd::AcquisitionBucket>();
       return;
     }
-    if (tag == "ReconData") {
+    if (tag == "reconData") {
       value = it.value().get<mrd::ReconData>();
       return;
     }
-    if (tag == "ArrayComplexFloat") {
+    if (tag == "arrayComplexFloat") {
       value = it.value().get<yardl::DynamicNDArray<std::complex<float>>>();
       return;
     }
-    if (tag == "ImageArray") {
+    if (tag == "imageArray") {
       value = it.value().get<mrd::ImageArray>();
       return;
     }
+    if (tag == "pulseqDefinitions") {
+      value = it.value().get<mrd::PulseqDefinitions>();
+      return;
+    }
+    if (tag == "blocks") {
+      value = it.value().get<std::vector<mrd::Block>>();
+      return;
+    }
+    if (tag == "rf") {
+      value = it.value().get<mrd::RFEvent>();
+      return;
+    }
+    if (tag == "arbitraryGradient") {
+      value = it.value().get<mrd::ArbitraryGradient>();
+      return;
+    }
+    if (tag == "trapezoidalGradient") {
+      value = it.value().get<mrd::TrapezoidalGradient>();
+      return;
+    }
+    if (tag == "adc") {
+      value = it.value().get<mrd::ADCEvent>();
+      return;
+    }
+    if (tag == "shape") {
+      value = it.value().get<mrd::Shape>();
+      return;
+    }
   }
 };
 
@@ -928,6 +1011,25 @@ void from_json(ordered_json const& j, mrd::Acquisition& value) {
   }
 }
 
+void to_json(ordered_json& j, mrd::AcquisitionPrototype const& value) {
+  j = ordered_json::object();
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.head)) {
+    j.push_back({"head", value.head});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.data_sample_counts)) {
+    j.push_back({"dataSampleCounts", value.data_sample_counts});
+  }
+}
+
+void from_json(ordered_json const& j, mrd::AcquisitionPrototype& value) {
+  if (auto it = j.find("head"); it != j.end()) {
+    it->get_to(value.head);
+  }
+  if (auto it = j.find("dataSampleCounts"); it != j.end()) {
+    it->get_to(value.data_sample_counts);
+  }
+}
+
 namespace {
 std::unordered_map<std::string, mrd::PatientGender> const __PatientGender_values = {
   {"m", mrd::PatientGender::kM},
@@ -3029,6 +3131,428 @@ void from_json(ordered_json const& j, mrd::ImageArray& value) {
   }
 }
 
+void to_json(ordered_json& j, mrd::PulseqDefinitions const& value) {
+  j = ordered_json::object();
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.gradient_raster_time)) {
+    j.push_back({"gradientRasterTime", value.gradient_raster_time});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.radiofrequency_raster_time)) {
+    j.push_back({"radiofrequencyRasterTime", value.radiofrequency_raster_time});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.adc_raster_time)) {
+    j.push_back({"adcRasterTime", value.adc_raster_time});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.block_duration_raster)) {
+    j.push_back({"blockDurationRaster", value.block_duration_raster});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.name)) {
+    j.push_back({"name", value.name});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.fov)) {
+    j.push_back({"fov", value.fov});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.total_duration)) {
+    j.push_back({"totalDuration", value.total_duration});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.custom)) {
+    j.push_back({"custom", value.custom});
+  }
+}
+
+void from_json(ordered_json const& j, mrd::PulseqDefinitions& value) {
+  if (auto it = j.find("gradientRasterTime"); it != j.end()) {
+    it->get_to(value.gradient_raster_time);
+  }
+  if (auto it = j.find("radiofrequencyRasterTime"); it != j.end()) {
+    it->get_to(value.radiofrequency_raster_time);
+  }
+  if (auto it = j.find("adcRasterTime"); it != j.end()) {
+    it->get_to(value.adc_raster_time);
+  }
+  if (auto it = j.find("blockDurationRaster"); it != j.end()) {
+    it->get_to(value.block_duration_raster);
+  }
+  if (auto it = j.find("name"); it != j.end()) {
+    it->get_to(value.name);
+  }
+  if (auto it = j.find("fov"); it != j.end()) {
+    it->get_to(value.fov);
+  }
+  if (auto it = j.find("totalDuration"); it != j.end()) {
+    it->get_to(value.total_duration);
+  }
+  if (auto it = j.find("custom"); it != j.end()) {
+    it->get_to(value.custom);
+  }
+}
+
+void to_json(ordered_json& j, mrd::Block const& value) {
+  j = ordered_json::object();
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.id)) {
+    j.push_back({"id", value.id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.duration)) {
+    j.push_back({"duration", value.duration});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.rf)) {
+    j.push_back({"rf", value.rf});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.gx)) {
+    j.push_back({"gx", value.gx});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.gy)) {
+    j.push_back({"gy", value.gy});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.gz)) {
+    j.push_back({"gz", value.gz});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.adc)) {
+    j.push_back({"adc", value.adc});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.ext)) {
+    j.push_back({"ext", value.ext});
+  }
+}
+
+void from_json(ordered_json const& j, mrd::Block& value) {
+  if (auto it = j.find("id"); it != j.end()) {
+    it->get_to(value.id);
+  }
+  if (auto it = j.find("duration"); it != j.end()) {
+    it->get_to(value.duration);
+  }
+  if (auto it = j.find("rf"); it != j.end()) {
+    it->get_to(value.rf);
+  }
+  if (auto it = j.find("gx"); it != j.end()) {
+    it->get_to(value.gx);
+  }
+  if (auto it = j.find("gy"); it != j.end()) {
+    it->get_to(value.gy);
+  }
+  if (auto it = j.find("gz"); it != j.end()) {
+    it->get_to(value.gz);
+  }
+  if (auto it = j.find("adc"); it != j.end()) {
+    it->get_to(value.adc);
+  }
+  if (auto it = j.find("ext"); it != j.end()) {
+    it->get_to(value.ext);
+  }
+}
+
+namespace {
+std::unordered_map<std::string, mrd::RFPulseUse> const __RFPulseUse_values = {
+  {"undefined", mrd::RFPulseUse::kUndefined},
+  {"excitation", mrd::RFPulseUse::kExcitation},
+  {"refocusing", mrd::RFPulseUse::kRefocusing},
+  {"inversion", mrd::RFPulseUse::kInversion},
+  {"saturation", mrd::RFPulseUse::kSaturation},
+  {"preparation", mrd::RFPulseUse::kPreparation},
+  {"other", mrd::RFPulseUse::kOther},
+};
+} //namespace
+
+void to_json(ordered_json& j, mrd::RFPulseUse const& value) {
+  switch (value) {
+    case mrd::RFPulseUse::kUndefined:
+      j = "undefined";
+      break;
+    case mrd::RFPulseUse::kExcitation:
+      j = "excitation";
+      break;
+    case mrd::RFPulseUse::kRefocusing:
+      j = "refocusing";
+      break;
+    case mrd::RFPulseUse::kInversion:
+      j = "inversion";
+      break;
+    case mrd::RFPulseUse::kSaturation:
+      j = "saturation";
+      break;
+    case mrd::RFPulseUse::kPreparation:
+      j = "preparation";
+      break;
+    case mrd::RFPulseUse::kOther:
+      j = "other";
+      break;
+    default:
+      using underlying_type = typename std::underlying_type<mrd::RFPulseUse>::type;
+      j = static_cast<underlying_type>(value);
+      break;
+  }
+}
+
+void from_json(ordered_json const& j, mrd::RFPulseUse& value) {
+  if (j.is_string()) {
+    auto symbol = j.get<std::string>();
+    if (auto res = __RFPulseUse_values.find(symbol); res != __RFPulseUse_values.end()) {
+      value = res->second;
+      return;
+    }
+    throw std::runtime_error("Invalid enum value '" + symbol + "' for enum mrd::RFPulseUse");
+  }
+  using underlying_type = typename std::underlying_type<mrd::RFPulseUse>::type;
+  value = static_cast<mrd::RFPulseUse>(j.get<underlying_type>());
+}
+
+void to_json(ordered_json& j, mrd::RFEvent const& value) {
+  j = ordered_json::object();
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.id)) {
+    j.push_back({"id", value.id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.amp)) {
+    j.push_back({"amp", value.amp});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.mag_id)) {
+    j.push_back({"magId", value.mag_id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.phase_id)) {
+    j.push_back({"phaseId", value.phase_id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.time_id)) {
+    j.push_back({"timeId", value.time_id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.center)) {
+    j.push_back({"center", value.center});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.delay)) {
+    j.push_back({"delay", value.delay});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.freq_ppm)) {
+    j.push_back({"freqPPM", value.freq_ppm});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.phase_ppm)) {
+    j.push_back({"phasePPM", value.phase_ppm});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.freq_offset)) {
+    j.push_back({"freqOffset", value.freq_offset});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.phase_offset)) {
+    j.push_back({"phaseOffset", value.phase_offset});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.use)) {
+    j.push_back({"use", value.use});
+  }
+}
+
+void from_json(ordered_json const& j, mrd::RFEvent& value) {
+  if (auto it = j.find("id"); it != j.end()) {
+    it->get_to(value.id);
+  }
+  if (auto it = j.find("amp"); it != j.end()) {
+    it->get_to(value.amp);
+  }
+  if (auto it = j.find("magId"); it != j.end()) {
+    it->get_to(value.mag_id);
+  }
+  if (auto it = j.find("phaseId"); it != j.end()) {
+    it->get_to(value.phase_id);
+  }
+  if (auto it = j.find("timeId"); it != j.end()) {
+    it->get_to(value.time_id);
+  }
+  if (auto it = j.find("center"); it != j.end()) {
+    it->get_to(value.center);
+  }
+  if (auto it = j.find("delay"); it != j.end()) {
+    it->get_to(value.delay);
+  }
+  if (auto it = j.find("freqPPM"); it != j.end()) {
+    it->get_to(value.freq_ppm);
+  }
+  if (auto it = j.find("phasePPM"); it != j.end()) {
+    it->get_to(value.phase_ppm);
+  }
+  if (auto it = j.find("freqOffset"); it != j.end()) {
+    it->get_to(value.freq_offset);
+  }
+  if (auto it = j.find("phaseOffset"); it != j.end()) {
+    it->get_to(value.phase_offset);
+  }
+  if (auto it = j.find("use"); it != j.end()) {
+    it->get_to(value.use);
+  }
+}
+
+void to_json(ordered_json& j, mrd::ArbitraryGradient const& value) {
+  j = ordered_json::object();
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.id)) {
+    j.push_back({"id", value.id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.amp)) {
+    j.push_back({"amp", value.amp});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.first)) {
+    j.push_back({"first", value.first});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.last)) {
+    j.push_back({"last", value.last});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.shape_id)) {
+    j.push_back({"shapeId", value.shape_id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.time_id)) {
+    j.push_back({"timeId", value.time_id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.delay)) {
+    j.push_back({"delay", value.delay});
+  }
+}
+
+void from_json(ordered_json const& j, mrd::ArbitraryGradient& value) {
+  if (auto it = j.find("id"); it != j.end()) {
+    it->get_to(value.id);
+  }
+  if (auto it = j.find("amp"); it != j.end()) {
+    it->get_to(value.amp);
+  }
+  if (auto it = j.find("first"); it != j.end()) {
+    it->get_to(value.first);
+  }
+  if (auto it = j.find("last"); it != j.end()) {
+    it->get_to(value.last);
+  }
+  if (auto it = j.find("shapeId"); it != j.end()) {
+    it->get_to(value.shape_id);
+  }
+  if (auto it = j.find("timeId"); it != j.end()) {
+    it->get_to(value.time_id);
+  }
+  if (auto it = j.find("delay"); it != j.end()) {
+    it->get_to(value.delay);
+  }
+}
+
+void to_json(ordered_json& j, mrd::TrapezoidalGradient const& value) {
+  j = ordered_json::object();
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.id)) {
+    j.push_back({"id", value.id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.amp)) {
+    j.push_back({"amp", value.amp});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.rise)) {
+    j.push_back({"rise", value.rise});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.flat)) {
+    j.push_back({"flat", value.flat});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.fall)) {
+    j.push_back({"fall", value.fall});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.delay)) {
+    j.push_back({"delay", value.delay});
+  }
+}
+
+void from_json(ordered_json const& j, mrd::TrapezoidalGradient& value) {
+  if (auto it = j.find("id"); it != j.end()) {
+    it->get_to(value.id);
+  }
+  if (auto it = j.find("amp"); it != j.end()) {
+    it->get_to(value.amp);
+  }
+  if (auto it = j.find("rise"); it != j.end()) {
+    it->get_to(value.rise);
+  }
+  if (auto it = j.find("flat"); it != j.end()) {
+    it->get_to(value.flat);
+  }
+  if (auto it = j.find("fall"); it != j.end()) {
+    it->get_to(value.fall);
+  }
+  if (auto it = j.find("delay"); it != j.end()) {
+    it->get_to(value.delay);
+  }
+}
+
+void to_json(ordered_json& j, mrd::ADCEvent const& value) {
+  j = ordered_json::object();
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.id)) {
+    j.push_back({"id", value.id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.num)) {
+    j.push_back({"num", value.num});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.dwell)) {
+    j.push_back({"dwell", value.dwell});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.delay)) {
+    j.push_back({"delay", value.delay});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.freq_ppm)) {
+    j.push_back({"freqPPM", value.freq_ppm});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.phase_ppm)) {
+    j.push_back({"phasePPM", value.phase_ppm});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.freq)) {
+    j.push_back({"freq", value.freq});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.phase)) {
+    j.push_back({"phase", value.phase});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.phase_shape_id)) {
+    j.push_back({"phaseShapeId", value.phase_shape_id});
+  }
+}
+
+void from_json(ordered_json const& j, mrd::ADCEvent& value) {
+  if (auto it = j.find("id"); it != j.end()) {
+    it->get_to(value.id);
+  }
+  if (auto it = j.find("num"); it != j.end()) {
+    it->get_to(value.num);
+  }
+  if (auto it = j.find("dwell"); it != j.end()) {
+    it->get_to(value.dwell);
+  }
+  if (auto it = j.find("delay"); it != j.end()) {
+    it->get_to(value.delay);
+  }
+  if (auto it = j.find("freqPPM"); it != j.end()) {
+    it->get_to(value.freq_ppm);
+  }
+  if (auto it = j.find("phasePPM"); it != j.end()) {
+    it->get_to(value.phase_ppm);
+  }
+  if (auto it = j.find("freq"); it != j.end()) {
+    it->get_to(value.freq);
+  }
+  if (auto it = j.find("phase"); it != j.end()) {
+    it->get_to(value.phase);
+  }
+  if (auto it = j.find("phaseShapeId"); it != j.end()) {
+    it->get_to(value.phase_shape_id);
+  }
+}
+
+void to_json(ordered_json& j, mrd::Shape const& value) {
+  j = ordered_json::object();
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.id)) {
+    j.push_back({"id", value.id});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.num_samples)) {
+    j.push_back({"numSamples", value.num_samples});
+  }
+  if (yardl::ndjson::ShouldSerializeFieldValue(value.data)) {
+    j.push_back({"data", value.data});
+  }
+}
+
+void from_json(ordered_json const& j, mrd::Shape& value) {
+  if (auto it = j.find("id"); it != j.end()) {
+    it->get_to(value.id);
+  }
+  if (auto it = j.find("numSamples"); it != j.end()) {
+    it->get_to(value.num_samples);
+  }
+  if (auto it = j.find("data"); it != j.end()) {
+    it->get_to(value.data);
+  }
+}
+
 } // namespace mrd
 
 namespace mrd::ndjson {
diff --git a/cpp/mrd/protocols.cc b/cpp/mrd/protocols.cc
index 0040dccc..0c4c4f23 100644
--- a/cpp/mrd/protocols.cc
+++ b/cpp/mrd/protocols.cc
@@ -39,7 +39,7 @@ void MrdReaderBaseInvalidState(uint8_t attempted, uint8_t current) {
 
 } // namespace 
 
-std::string MrdWriterBase::schema_ = 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":"DiffusionDimension","values":[{"symbol":"average","value":0},{"symbol":"contrast","value":1},{"symbol":"phase","value":2},{"symbol":"repetition","value":3},{"symbol":"set","value":4},{"symbol":"segment","value":5},{"symbol":"user0","value":6},{"symbol":"user1","value":7},{"symbol":"user2","value":8},{"symbol":"user3","value":9},{"symbol":"user4","value":10},{"symbol":"user5","value":11},{"symbol":"user6","value":12},{"symbol":"user7","value":13}]},{"name":"DiffusionType","fields":[{"name":"gradientDirection","type":"Mrd.GradientDirectionType"},{"name":"bvalue","type":"float32"}]},{"name":"EncodingCounters","fields":[{"name":"kspaceEncodeStep1","type":[null,"uint32"]},{"name":"kspaceEncodeStep2","type":[null,"uint32"]},{"name":"average","type":[null,"uint32"]},{"name":"slice","type":[null,"uint32"]},{"name":"contrast","type":[null,"uint32"]},{"name":"phase","type":[null,"uint32"]},{"name":"repetition","type":[null,"uint32"]},{"name":"set","type":[null,"uint32"]},{"name":"segment","type":[null,"uint32"]},{"name":"user","type":{"vector":{"items":"uint32"}}}]},{"name":"EncodingLimitsType","fields":[{"name":"kspaceEncodingStep0","type":[null,"Mrd.LimitType"]},{"name":"kspaceEncodingStep1","type":[null,"Mrd.LimitType"]},{"name":"kspaceEncodingStep2","type":[null,"Mrd.LimitType"]},{"name":"average","type":[null,"Mrd.LimitType"]},{"name":"slice","type":[null,"Mrd.LimitType"]},{"name":"contrast","type":[null,"Mrd.LimitType"]},{"name":"phase","type":[null,"Mrd.LimitType"]},{"name":"repetition","type":[null,"Mrd.LimitType"]},{"name":"set","type":[null,"Mrd.LimitType"]},{"name":"segment","type":[null,"Mrd.LimitType"]},{"name":"user0","type":[null,"Mrd.LimitType"]},{"name":"user1","type":[null,"Mrd.LimitType"]},{"name":"user2","type":[null,"Mrd.LimitType"]},{"name":"user3","type":[null,"Mrd.LimitType"]},{"name":"user4","type":[null,"Mrd.LimitType"]},{"name":"user5","type":[null,"Mrd.LimitType"]},{"name":"user6","type":[null,"Mrd.LimitType"]},{"name":"user7","type":[null,"Mrd.LimitType"]}]},{"name":"EncodingSpaceType","fields":[{"name":"matrixSize","type":"Mrd.MatrixSizeType"},{"name":"fieldOfViewMm","type":"Mrd.FieldOfViewMm"}]},{"name":"EncodingType","fields":[{"name":"encodedSpace","type":"Mrd.EncodingSpaceType"},{"name":"reconSpace","type":"Mrd.EncodingSpaceType"},{"name":"encodingLimits","type":"Mrd.EncodingLimitsType"},{"name":"trajectory","type":"Mrd.Trajectory"},{"name":"trajectoryDescription","type":[null,"Mrd.TrajectoryDescriptionType"]},{"name":"parallelImaging","type":[null,"Mrd.ParallelImagingType"]},{"name":"echoTrainLength","type":[null,"int64"]}]},{"name":"ExperimentalConditionsType","fields":[{"name":"h1resonanceFrequencyHz","type":"int64"}]},{"name":"FieldOfViewMm","fields":[{"name":"x","type":"float32"},{"name":"y","type":"float32"},{"name":"z","type":"float32"}]},{"name":"GradientDirectionType","fields":[{"name":"rl","type":"float32"},{"name":"ap","type":"float32"},{"name":"fh","type":"float32"}]},{"name":"Header","fields":[{"name":"version","type":[null,"int64"]},{"name":"subjectInformation","type":[null,"Mrd.SubjectInformationType"]},{"name":"studyInformation","type":[null,"Mrd.StudyInformationType"]},{"name":"measurementInformation","type":[null,"Mrd.MeasurementInformationType"]},{"name":"acquisitionSystemInformation","type":[null,"Mrd.AcquisitionSystemInformationType"]},{"name":"experimentalConditions","type":"Mrd.ExperimentalConditionsType"},{"name":"encoding","type":{"vector":{"items":"Mrd.EncodingType"}}},{"name":"sequenceParameters","type":[null,"Mrd.SequenceParametersType"]},{"name":"userParameters","type":[null,"Mrd.UserParametersType"]},{"name":"waveformInformation","type":{"vector":{"items":"Mrd.WaveformInformationType"}}}]},{"name":"Image","typeParameters":["T"],"fields":[{"name":"head","type":"Mrd.ImageHeader"},{"name":"data","type":{"name":"Mrd.ImageData","typeArguments":["T"]}},{"name":"meta","type":"Mrd.ImageMeta"}]},{"name":"ImageArray","fields":[{"name":"data","type":{"array":{"items":"complexfloat32","dimensions":[{"name":"loc"},{"name":"s"},{"name":"n"},{"name":"channel"},{"name":"z"},{"name":"y"},{"name":"x"}]}}},{"name":"headers","type":{"array":{"items":"Mrd.ImageHeader","dimensions":[{"name":"loc"},{"name":"s"},{"name":"n"}]}}},{"name":"meta","type":{"array":{"items":"Mrd.ImageMeta","dimensions":[{"name":"loc"},{"name":"s"},{"name":"n"}]}}},{"name":"waveforms","type":{"vector":{"items":"Mrd.WaveformUint32"}}}]},{"name":"ImageComplexDouble","type":{"name":"Mrd.Image","typeArguments":["complexfloat64"]}},{"name":"ImageComplexFloat","type":{"name":"Mrd.Image","typeArguments":["complexfloat32"]}},{"name":"ImageData","typeParameters":["Y"],"type":{"array":{"items":"Y","dimensions":[{"name":"channel"},{"name":"z"},{"name":"y"},{"name":"x"}]}}},{"name":"ImageDouble","type":{"name":"Mrd.Image","typeArguments":["float64"]}},{"name":"ImageFlags","base":"uint64","values":[{"symbol":"isNavigationData","value":1},{"symbol":"firstInAverage","value":16},{"symbol":"lastInAverage","value":3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{"name":"MultibandType","fields":[{"name":"spacing","type":{"vector":{"items":"Mrd.MultibandSpacingType"}}},{"name":"deltaKz","type":"float32"},{"name":"multibandFactor","type":"uint32"},{"name":"calibration","type":"Mrd.Calibration"},{"name":"calibrationEncoding","type":"uint64"}]},{"name":"ParallelImagingType","fields":[{"name":"accelerationFactor","type":"Mrd.AccelerationFactorType"},{"name":"calibrationMode","type":[null,"Mrd.CalibrationMode"]},{"name":"interleavingDimension","type":[null,"Mrd.InterleavingDimension"]},{"name":"multiband","type":[null,"Mrd.MultibandType"]}]},{"name":"PatientGender","values":[{"symbol":"m","value":0},{"symbol":"f","value":1},{"symbol":"o","value":2}]},{"name":"PatientPosition","values":[{"symbol":"hFP","value":0},{"symbol":"hFS","value":1},{"symbol":"hFDR","value":2},{"symbol":"hFDL","value":3},{"symbol":"fFP","value":4},{"symbol":"fFS","value":5},{"symbol":"fFDR","value":6},{"symbol":"fFDL","value":7}]},{"name":"PulseqDefinitions","fields":[{"name":"gradientRasterTime","type":"float64"},{"name":"radiofrequencyRasterTime","type":"float64"},{"name":"adcRasterTime","type":"float64"},{"name":"blockDurationRaster","type":"float64"},{"name":"name","type":[null,"string"]},{"name":"fov","type":[null,"Mrd.ThreeDimensionalFloat"]},{"name":"totalDuration","type":[null,"float64"]},{"name":"custom","type":{"map":{"keys":"string","values":"string"}}}]},{"name":"RFEvent","fields":[{"name":"id","type":"int32"},{"name":"amp","type":"float64"},{"name":"magId","type":"int32"},{"name":"phaseId","type":"int32"},{"name":"timeId","type":"int32"},{"name":"center","type":"float64"},{"name":"delay","type":"uint64"},{"name":"freqPPM","type":"float64"},{"name":"phasePPM","type":"float64"},{"name":"freqOffset","type":"float64"},{"name":"phaseOffset","type":"float64"},{"name":"use","type":"Mrd.RFPulseUse"}]},{"name":"RFPulseUse","values":[{"symbol":"undefined","value":0},{"symbol":"excitation","value":1},{"symbol":"refocusing","value":2},{"symbol":"inversion","value":3},{"symbol":"saturation","value":4},{"symbol":"preparation","value":5},{"symbol":"other","value":6}]},{"name":"ReconAssembly","fields":[{"name":"data","type":"Mrd.ReconBuffer"},{"name":"ref","type":[null,"Mrd.ReconBuffer"]}]},{"name":"ReconBuffer","fields":[{"name":"data","type":{"array":{"items":"complexfloat32","dimensions":[{"name":"loc"},{"name":"s"},{"name":"n"},{"name":"chan"},{"name":"e2"},{"name":"e1"},{"name":"e0"}]}}},{"name":"trajectory","type":{"array":{"items":"float32","dimensions":[{"name":"loc"},{"name":"s"},{"name":"n"},{"name":"e2"},{"name":"e1"},{"name":"basis"},{"name":"samples"}]}}},{"name":"density","type":[null,{"array":{"items":"float32","dimensions":[{"name":"loc"},{"name":"s"},{"name":"n"},{"name":"e2"},{"name":"e1"},{"name":"e0"}]}}]},{"name":"headers","type":{"array":{"items":"Mrd.AcquisitionHeader","dimensions":[{"name":"loc"},{"name":"s"},{"name":"n"},{"name":"e2"},{"name":"e1"}]}}},{"name":"sampling","type":"Mrd.SamplingDescription"}]},{"name":"ReconData","fields":[{"name":"buffers","type":{"vector":{"items":"Mrd.ReconAssembly"}}}]},{"name":"ReferencedImageSequenceType","fields":[{"name":"referencedSOPInstanceUID","type":{"vector":{"items":"string"}}}]},{"name":"SamplingDescription","fields":[{"name":"encodedFOV","type":"Mrd.FieldOfViewMm"},{"name":"reconFOV","type":"Mrd.FieldOfViewMm"},{"name":"encodedMatrix","type":"Mrd.MatrixSizeType"},{"name":"reconMatrix","type":"Mrd.MatrixSizeType"},{"name":"samplingLimits","type":"Mrd.SamplingLimits"}]},{"name":"SamplingLimits","fields":[{"name":"kspaceEncodingStep0","type":"Mrd.LimitType"},{"name":"kspaceEncodingStep1","type":"Mrd.LimitType"},{"name":"kspaceEncodingStep2","type":"Mrd.LimitType"}]},{"name":"SequenceParametersType","fields":[{"name":"tR","type":{"vector":{"items":"float32"}}},{"name":"tE","type":{"vector":{"items":"float32"}}},{"name":"tI","type":{"vector":{"items":"float32"}}},{"name":"flipAngleDeg","type":{"vector":{"items":"float32"}}},{"name":"sequenceType","type":[null,"string"]},{"name":"echoSpacing","type":{"vector":{"items":"float32"}}},{"name":"diffusionDimension","type":[null,"Mrd.DiffusionDimension"]},{"name":"diffusion","type":{"vector":{"items":"Mrd.DiffusionType"}}},{"name":"diffusionScheme","type":[null,"string"]}]},{"name":"Shape","fields":[{"name":"id","type":"int32"},{"name":"numSamples","type":"uint64"},{"name":"data","type":{"array":{"items":"float64","dimensions":1}}}]},{"name":"StreamItem","type":[{"tag":"acquisition","explicitTag":true,"type":"Mrd.Acquisition"},{"tag":"acquisitionPrototype","explicitTag":true,"type":"Mrd.AcquisitionPrototype"},{"tag":"waveformUint32","explicitTag":true,"type":"Mrd.WaveformUint32"},{"tag":"imageUint16","explicitTag":true,"type":"Mrd.ImageUint16"},{"tag":"imageInt16","explicitTag":true,"type":"Mrd.ImageInt16"},{"tag":"imageUint32","explicitTag":true,"type":"Mrd.ImageUint32"},{"tag":"imageInt32","explicitTag":true,"type":"Mrd.ImageInt32"},{"tag":"imageFloat","explicitTag":true,"type":"Mrd.ImageFlo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
 std::vector<std::string> MrdWriterBase::previous_schemas_ = {
 };
diff --git a/cpp/mrd/types.h b/cpp/mrd/types.h
index 6153d206..f3301a5f 100644
--- a/cpp/mrd/types.h
+++ b/cpp/mrd/types.h
@@ -198,6 +198,23 @@ struct Acquisition {
   }
 };
 
+// Specifies header and data size of an acquisition, without the actual data.
+struct AcquisitionPrototype {
+  // Acquisition header template
+  mrd::AcquisitionHeader head{};
+  // Sample counts by coil
+  yardl::NDArray<uint32_t, 1> data_sample_counts{};
+
+  bool operator==(const AcquisitionPrototype& other) const {
+    return head == other.head &&
+      data_sample_counts == other.data_sample_counts;
+  }
+
+  bool operator!=(const AcquisitionPrototype& other) const {
+    return !(*this == other);
+  }
+};
+
 enum class PatientGender {
   kM = 0,
   kF = 1,
@@ -1210,8 +1227,266 @@ using Array = yardl::DynamicNDArray<T>;
 
 using ArrayComplexFloat = mrd::Array<std::complex<float>>;
 
+// Pulseq definitions
+struct PulseqDefinitions {
+  // Default raster time (dwell time) of the shaped gradient events, specified in seconds
+  double gradient_raster_time{};
+  // Default raster time (dwell time) of the radio-frequency pulse shapes, specified in seconds
+  double radiofrequency_raster_time{};
+  // The value defining the alignment of the ADC dwell times.
+  // ADC dwell time must be integer multiple of the specified adcRasterTime.
+  // adcRasterTime is specified in seconds
+  double adc_raster_time{};
+  // The value defining the alignment of the block durations, specified in seconds;
+  // the physical block duration must be integer multiple of the specified blockDurationRaster.
+  // Block duration in the blocks section are specified in the units of blockDurationRaster
+  double block_duration_raster{};
+  // Human-readable name of the sequence
+  std::optional<std::string> name{};
+  // Field of view specified in meters.
+  std::optional<mrd::ThreeDimensionalFloat> fov{};
+  // Total duration of the sequence is seconds
+  std::optional<double> total_duration{};
+  std::unordered_map<std::string, std::string> custom{};
+
+  bool operator==(const PulseqDefinitions& other) const {
+    return gradient_raster_time == other.gradient_raster_time &&
+      radiofrequency_raster_time == other.radiofrequency_raster_time &&
+      adc_raster_time == other.adc_raster_time &&
+      block_duration_raster == other.block_duration_raster &&
+      name == other.name &&
+      fov == other.fov &&
+      total_duration == other.total_duration &&
+      custom == other.custom;
+  }
+
+  bool operator!=(const PulseqDefinitions& other) const {
+    return !(*this == other);
+  }
+};
+
+// A sequence block that includes possible RF, gradient, and ADC events.
+struct Block {
+  // ID of the sequence block
+  int32_t id{};
+  // Duration of the block in units of Definitions.blockDurationRaster
+  uint64_t duration{};
+  // ID of the RF event
+  int32_t rf{};
+  // ID of the gradient event on the X channel
+  int32_t gx{};
+  // ID of the gradient event on the Y channel
+  int32_t gy{};
+  // ID of the gradient event on the Z channel
+  int32_t gz{};
+  // ID of the ADC event
+  int32_t adc{};
+  // ID of the extension table entry
+  int32_t ext{};
+
+  bool operator==(const Block& other) const {
+    return id == other.id &&
+      duration == other.duration &&
+      rf == other.rf &&
+      gx == other.gx &&
+      gy == other.gy &&
+      gz == other.gz &&
+      adc == other.adc &&
+      ext == other.ext;
+  }
+
+  bool operator!=(const Block& other) const {
+    return !(*this == other);
+  }
+};
+
+enum class RFPulseUse {
+  kUndefined = 0,
+  kExcitation = 1,
+  kRefocusing = 2,
+  kInversion = 3,
+  kSaturation = 4,
+  kPreparation = 5,
+  kOther = 6,
+};
+
+// An RF event
+struct RFEvent {
+  // ID of the RF event
+  int32_t id{};
+  // Peak amplitude in Hz
+  double amp{};
+  // Shape ID for the magnitude profile
+  int32_t mag_id{};
+  // Shape ID for the phase profile
+  int32_t phase_id{};
+  // Shape ID for the time sampling points, specified in the units of
+  // RadiofrequencyRasterTime.
+  // 0 means default time raster
+  int32_t time_id{};
+  // Time point in microseconds relative to the beginning of
+  // the RF shape at which the effective rotation takes place
+  double center{};
+  // Delay before starting the RF pulse, specified in microseconds
+  uint64_t delay{};
+  // Frequency offset relative to the main system's frequency,
+  // specified in parts per million (ppm)
+  double freq_ppm{};
+  // Phase offset proportional to the main system's frequency,
+  // specified in rad/MHz
+  double phase_ppm{};
+  // Frequency offset in absolute units, specified in Hz
+  double freq_offset{};
+  // Phase offset in absolute units, specified in radians
+  double phase_offset{};
+  mrd::RFPulseUse use{};
+
+  bool operator==(const RFEvent& other) const {
+    return id == other.id &&
+      amp == other.amp &&
+      mag_id == other.mag_id &&
+      phase_id == other.phase_id &&
+      time_id == other.time_id &&
+      center == other.center &&
+      delay == other.delay &&
+      freq_ppm == other.freq_ppm &&
+      phase_ppm == other.phase_ppm &&
+      freq_offset == other.freq_offset &&
+      phase_offset == other.phase_offset &&
+      use == other.use;
+  }
+
+  bool operator!=(const RFEvent& other) const {
+    return !(*this == other);
+  }
+};
+
+// An arbitrary gradient event
+struct ArbitraryGradient {
+  // ID of the gradient event. Must be unique among all arbitrary and trapezoidal gradient events.
+  int32_t id{};
+  // Peak amplitude in Hz/m
+  double amp{};
+  // The amplitude at the start of the gradient.
+  double first{};
+  // The amplitude at the end of the gradient.
+  double last{};
+  // Shape ID for the gradient shape
+  int32_t shape_id{};
+  // Shape ID for the time sampling points, specified in the units of GradientRasterTime.
+  // 0 means default time raster, -1 means 1/2 of the default time raster (gradient oversampling case).
+  int32_t time_id{};
+  // Delay before starting the gradient, specified in microseconds
+  uint64_t delay{};
+
+  bool operator==(const ArbitraryGradient& other) const {
+    return id == other.id &&
+      amp == other.amp &&
+      first == other.first &&
+      last == other.last &&
+      shape_id == other.shape_id &&
+      time_id == other.time_id &&
+      delay == other.delay;
+  }
+
+  bool operator!=(const ArbitraryGradient& other) const {
+    return !(*this == other);
+  }
+};
+
+// A trapezoidal gradient event
+struct TrapezoidalGradient {
+  // ID of the gradient event. Must be unique among all arbitrary and trapezoidal gradient events.
+  int32_t id{};
+  // Peak amplitude in Hz/m
+  double amp{};
+  // Rise time of the trapezoid in microseconds
+  uint64_t rise{};
+  // Flat-top time of the trapezoid in microseconds
+  uint64_t flat{};
+  // Fall time of the trapezoid in microseconds
+  uint64_t fall{};
+  // Delay before starting the gradient, specified in microseconds
+  uint64_t delay{};
+
+  bool operator==(const TrapezoidalGradient& other) const {
+    return id == other.id &&
+      amp == other.amp &&
+      rise == other.rise &&
+      flat == other.flat &&
+      fall == other.fall &&
+      delay == other.delay;
+  }
+
+  bool operator!=(const TrapezoidalGradient& other) const {
+    return !(*this == other);
+  }
+};
+
+// An ADC event
+struct ADCEvent {
+  // ID of the ADC event
+  int32_t id{};
+  // Number of samples
+  uint64_t num{};
+  // The ADC dwell time, specified in nanoseconds
+  float dwell{};
+  // Delay between start of block and first sample, specified in microseconds
+  uint64_t delay{};
+  // Frequency offset of the ADC receiver relative to the system frequency,
+  // specified in parts per million (ppm)
+  double freq_ppm{};
+  // Phase offset of the ADC receiver proportional to the system frequency,
+  // specified in rad/MHz
+  double phase_ppm{};
+  // Frequency offset of the ADC receiver in absolute units, specified in Hz
+  double freq{};
+  // Phase offset in absolute units, specified in radians
+  double phase{};
+  // The shape ID
+  int32_t phase_shape_id{};
+
+  bool operator==(const ADCEvent& other) const {
+    return id == other.id &&
+      num == other.num &&
+      dwell == other.dwell &&
+      delay == other.delay &&
+      freq_ppm == other.freq_ppm &&
+      phase_ppm == other.phase_ppm &&
+      freq == other.freq &&
+      phase == other.phase &&
+      phase_shape_id == other.phase_shape_id;
+  }
+
+  bool operator!=(const ADCEvent& other) const {
+    return !(*this == other);
+  }
+};
+
+// A list of samples that is potentially compressed.
+// If numSamples == size(data) then the shape is uncompressed.
+struct Shape {
+  // ID of the shape
+  int32_t id{};
+  // Number of samples of the uncompressed shape
+  uint64_t num_samples{};
+  // Samples of the (potentially) compressed shape. See the Pulseq specification for compression details.
+  // In the spec, this should be float32, but PyPulseq uses float64.
+  yardl::NDArray<double, 1> data{};
+
+  bool operator==(const Shape& other) const {
+    return id == other.id &&
+      num_samples == other.num_samples &&
+      data == other.data;
+  }
+
+  bool operator!=(const Shape& other) const {
+    return !(*this == other);
+  }
+};
+
 // Union of all primary types that can be streamed in the MRD Protocol
-using StreamItem = std::variant<mrd::Acquisition, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray>;
+using StreamItem = std::variant<mrd::Acquisition, mrd::AcquisitionPrototype, mrd::WaveformUint32, mrd::ImageUint16, mrd::ImageInt16, mrd::ImageUint32, mrd::ImageInt32, mrd::ImageFloat, mrd::ImageDouble, mrd::ImageComplexFloat, mrd::ImageComplexDouble, mrd::AcquisitionBucket, mrd::ReconData, mrd::ArrayComplexFloat, mrd::ImageArray, mrd::PulseqDefinitions, std::vector<mrd::Block>, mrd::RFEvent, mrd::ArbitraryGradient, mrd::TrapezoidalGradient, mrd::ADCEvent, mrd::Shape>;
 
 } // namespace mrd
 
diff --git a/environment.yml b/environment.yml
index 153ce54a..1c15bea5 100644
--- a/environment.yml
+++ b/environment.yml
@@ -22,6 +22,7 @@ dependencies:
   - ninja=1.11.0
   - nlohmann_json=3.11.2
   - nodejs=18.12.1 # local
+  - pip=25.2
   - python=3.9.15
   - pyfftw=0.13.1
   - shellcheck=0.8.0
@@ -29,3 +30,5 @@ dependencies:
   - xmlschema=2.2.3
   - xtensor=0.24.2
   - xtensor-fftw=0.2.5
+  - pip:
+    - pypulseq==1.4.2.post1
diff --git a/matlab/toolbox/+mrd/+binary/ADCEventSerializer.m b/matlab/toolbox/+mrd/+binary/ADCEventSerializer.m
new file mode 100644
index 00000000..8c57b21e
--- /dev/null
+++ b/matlab/toolbox/+mrd/+binary/ADCEventSerializer.m
@@ -0,0 +1,32 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef ADCEventSerializer < yardl.binary.RecordSerializer
+  methods
+    function self = ADCEventSerializer()
+      field_serializers{1} = yardl.binary.Int32Serializer;
+      field_serializers{2} = yardl.binary.Uint64Serializer;
+      field_serializers{3} = yardl.binary.Float32Serializer;
+      field_serializers{4} = yardl.binary.Uint64Serializer;
+      field_serializers{5} = yardl.binary.Float64Serializer;
+      field_serializers{6} = yardl.binary.Float64Serializer;
+      field_serializers{7} = yardl.binary.Float64Serializer;
+      field_serializers{8} = yardl.binary.Float64Serializer;
+      field_serializers{9} = yardl.binary.Int32Serializer;
+      self@yardl.binary.RecordSerializer('mrd.ADCEvent', field_serializers);
+    end
+
+    function write(self, outstream, value)
+      arguments
+        self
+        outstream (1,1) yardl.binary.CodedOutputStream
+        value (1,1) mrd.ADCEvent
+      end
+      self.write_(outstream, value.id, value.num, value.dwell, value.delay, value.freq_ppm, value.phase_ppm, value.freq, value.phase, value.phase_shape_id);
+    end
+
+    function value = read(self, instream)
+      fields = self.read_(instream);
+      value = mrd.ADCEvent(id=fields{1}, num=fields{2}, dwell=fields{3}, delay=fields{4}, freq_ppm=fields{5}, phase_ppm=fields{6}, freq=fields{7}, phase=fields{8}, phase_shape_id=fields{9});
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/+binary/AcquisitionPrototypeSerializer.m b/matlab/toolbox/+mrd/+binary/AcquisitionPrototypeSerializer.m
new file mode 100644
index 00000000..63e64732
--- /dev/null
+++ b/matlab/toolbox/+mrd/+binary/AcquisitionPrototypeSerializer.m
@@ -0,0 +1,25 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef AcquisitionPrototypeSerializer < yardl.binary.RecordSerializer
+  methods
+    function self = AcquisitionPrototypeSerializer()
+      field_serializers{1} = mrd.binary.AcquisitionHeaderSerializer();
+      field_serializers{2} = yardl.binary.NDArraySerializer(yardl.binary.Uint32Serializer, 1);
+      self@yardl.binary.RecordSerializer('mrd.AcquisitionPrototype', field_serializers);
+    end
+
+    function write(self, outstream, value)
+      arguments
+        self
+        outstream (1,1) yardl.binary.CodedOutputStream
+        value (1,1) mrd.AcquisitionPrototype
+      end
+      self.write_(outstream, value.head, value.data_sample_counts);
+    end
+
+    function value = read(self, instream)
+      fields = self.read_(instream);
+      value = mrd.AcquisitionPrototype(head=fields{1}, data_sample_counts=fields{2});
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/+binary/ArbitraryGradientSerializer.m b/matlab/toolbox/+mrd/+binary/ArbitraryGradientSerializer.m
new file mode 100644
index 00000000..ea6ade09
--- /dev/null
+++ b/matlab/toolbox/+mrd/+binary/ArbitraryGradientSerializer.m
@@ -0,0 +1,30 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef ArbitraryGradientSerializer < yardl.binary.RecordSerializer
+  methods
+    function self = ArbitraryGradientSerializer()
+      field_serializers{1} = yardl.binary.Int32Serializer;
+      field_serializers{2} = yardl.binary.Float64Serializer;
+      field_serializers{3} = yardl.binary.Float64Serializer;
+      field_serializers{4} = yardl.binary.Float64Serializer;
+      field_serializers{5} = yardl.binary.Int32Serializer;
+      field_serializers{6} = yardl.binary.Int32Serializer;
+      field_serializers{7} = yardl.binary.Uint64Serializer;
+      self@yardl.binary.RecordSerializer('mrd.ArbitraryGradient', field_serializers);
+    end
+
+    function write(self, outstream, value)
+      arguments
+        self
+        outstream (1,1) yardl.binary.CodedOutputStream
+        value (1,1) mrd.ArbitraryGradient
+      end
+      self.write_(outstream, value.id, value.amp, value.first, value.last, value.shape_id, value.time_id, value.delay);
+    end
+
+    function value = read(self, instream)
+      fields = self.read_(instream);
+      value = mrd.ArbitraryGradient(id=fields{1}, amp=fields{2}, first=fields{3}, last=fields{4}, shape_id=fields{5}, time_id=fields{6}, delay=fields{7});
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/+binary/BlockSerializer.m b/matlab/toolbox/+mrd/+binary/BlockSerializer.m
new file mode 100644
index 00000000..11b41c26
--- /dev/null
+++ b/matlab/toolbox/+mrd/+binary/BlockSerializer.m
@@ -0,0 +1,31 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef BlockSerializer < yardl.binary.RecordSerializer
+  methods
+    function self = BlockSerializer()
+      field_serializers{1} = yardl.binary.Int32Serializer;
+      field_serializers{2} = yardl.binary.Uint64Serializer;
+      field_serializers{3} = yardl.binary.Int32Serializer;
+      field_serializers{4} = yardl.binary.Int32Serializer;
+      field_serializers{5} = yardl.binary.Int32Serializer;
+      field_serializers{6} = yardl.binary.Int32Serializer;
+      field_serializers{7} = yardl.binary.Int32Serializer;
+      field_serializers{8} = yardl.binary.Int32Serializer;
+      self@yardl.binary.RecordSerializer('mrd.Block', field_serializers);
+    end
+
+    function write(self, outstream, value)
+      arguments
+        self
+        outstream (1,1) yardl.binary.CodedOutputStream
+        value (1,1) mrd.Block
+      end
+      self.write_(outstream, value.id, value.duration, value.rf, value.gx, value.gy, value.gz, value.adc, value.ext);
+    end
+
+    function value = read(self, instream)
+      fields = self.read_(instream);
+      value = mrd.Block(id=fields{1}, duration=fields{2}, rf=fields{3}, gx=fields{4}, gy=fields{5}, gz=fields{6}, adc=fields{7}, ext=fields{8});
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/+binary/MrdReader.m b/matlab/toolbox/+mrd/+binary/MrdReader.m
index 83e7fd1d..b9e35aa5 100644
--- a/matlab/toolbox/+mrd/+binary/MrdReader.m
+++ b/matlab/toolbox/+mrd/+binary/MrdReader.m
@@ -17,7 +17,7 @@
       self@mrd.MrdReaderBase(skip_completed_check=options.skip_completed_check);
       self@yardl.binary.BinaryProtocolReader(filename, mrd.MrdReaderBase.schema);
       self.header_serializer = yardl.binary.OptionalSerializer(mrd.binary.HeaderSerializer());
-      self.data_serializer = yardl.binary.StreamSerializer(yardl.binary.UnionSerializer('mrd.StreamItem', {mrd.binary.AcquisitionSerializer(), mrd.binary.WaveformSerializer(yardl.binary.Uint32Serializer), mrd.binary.ImageSerializer(yardl.binary.Uint16Serializer), mrd.binary.ImageSerializer(yardl.binary.Int16Serializer), mrd.binary.ImageSerializer(yardl.binary.Uint32Serializer), mrd.binary.ImageSerializer(yardl.binary.Int32Serializer), mrd.binary.ImageSerializer(yardl.binary.Float32Serializer), mrd.binary.ImageSerializer(yardl.binary.Float64Serializer), mrd.binary.ImageSerializer(yardl.binary.Complexfloat32Serializer), mrd.binary.ImageSerializer(yardl.binary.Complexfloat64Serializer), mrd.binary.AcquisitionBucketSerializer(), mrd.binary.ReconDataSerializer(), yardl.binary.DynamicNDArraySerializer(yardl.binary.Complexfloat32Serializer), mrd.binary.ImageArraySerializer()}, {@mrd.StreamItem.Acquisition, @mrd.StreamItem.WaveformUint32, @mrd.StreamItem.ImageUint16, @mrd.StreamItem.ImageInt16, @mrd.StreamItem.ImageUint32, @mrd.StreamItem.ImageInt32, @mrd.StreamItem.ImageFloat, @mrd.StreamItem.ImageDouble, @mrd.StreamItem.ImageComplexFloat, @mrd.StreamItem.ImageComplexDouble, @mrd.StreamItem.AcquisitionBucket, @mrd.StreamItem.ReconData, @mrd.StreamItem.ArrayComplexFloat, @mrd.StreamItem.ImageArray}));
+      self.data_serializer = yardl.binary.StreamSerializer(yardl.binary.UnionSerializer('mrd.StreamItem', {mrd.binary.AcquisitionSerializer(), mrd.binary.AcquisitionPrototypeSerializer(), mrd.binary.WaveformSerializer(yardl.binary.Uint32Serializer), mrd.binary.ImageSerializer(yardl.binary.Uint16Serializer), mrd.binary.ImageSerializer(yardl.binary.Int16Serializer), mrd.binary.ImageSerializer(yardl.binary.Uint32Serializer), mrd.binary.ImageSerializer(yardl.binary.Int32Serializer), mrd.binary.ImageSerializer(yardl.binary.Float32Serializer), mrd.binary.ImageSerializer(yardl.binary.Float64Serializer), mrd.binary.ImageSerializer(yardl.binary.Complexfloat32Serializer), mrd.binary.ImageSerializer(yardl.binary.Complexfloat64Serializer), mrd.binary.AcquisitionBucketSerializer(), mrd.binary.ReconDataSerializer(), yardl.binary.DynamicNDArraySerializer(yardl.binary.Complexfloat32Serializer), mrd.binary.ImageArraySerializer(), mrd.binary.PulseqDefinitionsSerializer(), yardl.binary.VectorSerializer(mrd.binary.BlockSerializer()), mrd.binary.RFEventSerializer(), mrd.binary.ArbitraryGradientSerializer(), mrd.binary.TrapezoidalGradientSerializer(), mrd.binary.ADCEventSerializer(), mrd.binary.ShapeSerializer()}, {@mrd.StreamItem.Acquisition, @mrd.StreamItem.AcquisitionPrototype, @mrd.StreamItem.WaveformUint32, @mrd.StreamItem.ImageUint16, @mrd.StreamItem.ImageInt16, @mrd.StreamItem.ImageUint32, @mrd.StreamItem.ImageInt32, @mrd.StreamItem.ImageFloat, @mrd.StreamItem.ImageDouble, @mrd.StreamItem.ImageComplexFloat, @mrd.StreamItem.ImageComplexDouble, @mrd.StreamItem.AcquisitionBucket, @mrd.StreamItem.ReconData, @mrd.StreamItem.ArrayComplexFloat, @mrd.StreamItem.ImageArray, @mrd.StreamItem.PulseqDefinitions, @mrd.StreamItem.Blocks, @mrd.StreamItem.Rf, @mrd.StreamItem.ArbitraryGradient, @mrd.StreamItem.TrapezoidalGradient, @mrd.StreamItem.Adc, @mrd.StreamItem.Shape}));
     end
   end
 
diff --git a/matlab/toolbox/+mrd/+binary/MrdWriter.m b/matlab/toolbox/+mrd/+binary/MrdWriter.m
index 311e22a7..8099178a 100644
--- a/matlab/toolbox/+mrd/+binary/MrdWriter.m
+++ b/matlab/toolbox/+mrd/+binary/MrdWriter.m
@@ -13,7 +13,7 @@
       self@mrd.MrdWriterBase();
       self@yardl.binary.BinaryProtocolWriter(filename, mrd.MrdWriterBase.schema);
       self.header_serializer = yardl.binary.OptionalSerializer(mrd.binary.HeaderSerializer());
-      self.data_serializer = yardl.binary.StreamSerializer(yardl.binary.UnionSerializer('mrd.StreamItem', {mrd.binary.AcquisitionSerializer(), mrd.binary.WaveformSerializer(yardl.binary.Uint32Serializer), mrd.binary.ImageSerializer(yardl.binary.Uint16Serializer), mrd.binary.ImageSerializer(yardl.binary.Int16Serializer), mrd.binary.ImageSerializer(yardl.binary.Uint32Serializer), mrd.binary.ImageSerializer(yardl.binary.Int32Serializer), mrd.binary.ImageSerializer(yardl.binary.Float32Serializer), mrd.binary.ImageSerializer(yardl.binary.Float64Serializer), mrd.binary.ImageSerializer(yardl.binary.Complexfloat32Serializer), mrd.binary.ImageSerializer(yardl.binary.Complexfloat64Serializer), mrd.binary.AcquisitionBucketSerializer(), mrd.binary.ReconDataSerializer(), yardl.binary.DynamicNDArraySerializer(yardl.binary.Complexfloat32Serializer), mrd.binary.ImageArraySerializer()}, {@mrd.StreamItem.Acquisition, @mrd.StreamItem.WaveformUint32, @mrd.StreamItem.ImageUint16, @mrd.StreamItem.ImageInt16, @mrd.StreamItem.ImageUint32, @mrd.StreamItem.ImageInt32, @mrd.StreamItem.ImageFloat, @mrd.StreamItem.ImageDouble, @mrd.StreamItem.ImageComplexFloat, @mrd.StreamItem.ImageComplexDouble, @mrd.StreamItem.AcquisitionBucket, @mrd.StreamItem.ReconData, @mrd.StreamItem.ArrayComplexFloat, @mrd.StreamItem.ImageArray}));
+      self.data_serializer = yardl.binary.StreamSerializer(yardl.binary.UnionSerializer('mrd.StreamItem', {mrd.binary.AcquisitionSerializer(), mrd.binary.AcquisitionPrototypeSerializer(), mrd.binary.WaveformSerializer(yardl.binary.Uint32Serializer), mrd.binary.ImageSerializer(yardl.binary.Uint16Serializer), mrd.binary.ImageSerializer(yardl.binary.Int16Serializer), mrd.binary.ImageSerializer(yardl.binary.Uint32Serializer), mrd.binary.ImageSerializer(yardl.binary.Int32Serializer), mrd.binary.ImageSerializer(yardl.binary.Float32Serializer), mrd.binary.ImageSerializer(yardl.binary.Float64Serializer), mrd.binary.ImageSerializer(yardl.binary.Complexfloat32Serializer), mrd.binary.ImageSerializer(yardl.binary.Complexfloat64Serializer), mrd.binary.AcquisitionBucketSerializer(), mrd.binary.ReconDataSerializer(), yardl.binary.DynamicNDArraySerializer(yardl.binary.Complexfloat32Serializer), mrd.binary.ImageArraySerializer(), mrd.binary.PulseqDefinitionsSerializer(), yardl.binary.VectorSerializer(mrd.binary.BlockSerializer()), mrd.binary.RFEventSerializer(), mrd.binary.ArbitraryGradientSerializer(), mrd.binary.TrapezoidalGradientSerializer(), mrd.binary.ADCEventSerializer(), mrd.binary.ShapeSerializer()}, {@mrd.StreamItem.Acquisition, @mrd.StreamItem.AcquisitionPrototype, @mrd.StreamItem.WaveformUint32, @mrd.StreamItem.ImageUint16, @mrd.StreamItem.ImageInt16, @mrd.StreamItem.ImageUint32, @mrd.StreamItem.ImageInt32, @mrd.StreamItem.ImageFloat, @mrd.StreamItem.ImageDouble, @mrd.StreamItem.ImageComplexFloat, @mrd.StreamItem.ImageComplexDouble, @mrd.StreamItem.AcquisitionBucket, @mrd.StreamItem.ReconData, @mrd.StreamItem.ArrayComplexFloat, @mrd.StreamItem.ImageArray, @mrd.StreamItem.PulseqDefinitions, @mrd.StreamItem.Blocks, @mrd.StreamItem.Rf, @mrd.StreamItem.ArbitraryGradient, @mrd.StreamItem.TrapezoidalGradient, @mrd.StreamItem.Adc, @mrd.StreamItem.Shape}));
     end
   end
 
diff --git a/matlab/toolbox/+mrd/+binary/PulseqDefinitionsSerializer.m b/matlab/toolbox/+mrd/+binary/PulseqDefinitionsSerializer.m
new file mode 100644
index 00000000..b623c52f
--- /dev/null
+++ b/matlab/toolbox/+mrd/+binary/PulseqDefinitionsSerializer.m
@@ -0,0 +1,31 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef PulseqDefinitionsSerializer < yardl.binary.RecordSerializer
+  methods
+    function self = PulseqDefinitionsSerializer()
+      field_serializers{1} = yardl.binary.Float64Serializer;
+      field_serializers{2} = yardl.binary.Float64Serializer;
+      field_serializers{3} = yardl.binary.Float64Serializer;
+      field_serializers{4} = yardl.binary.Float64Serializer;
+      field_serializers{5} = yardl.binary.OptionalSerializer(yardl.binary.StringSerializer);
+      field_serializers{6} = yardl.binary.OptionalSerializer(mrd.binary.ThreeDimensionalFloatSerializer());
+      field_serializers{7} = yardl.binary.OptionalSerializer(yardl.binary.Float64Serializer);
+      field_serializers{8} = yardl.binary.MapSerializer(yardl.binary.StringSerializer, yardl.binary.StringSerializer);
+      self@yardl.binary.RecordSerializer('mrd.PulseqDefinitions', field_serializers);
+    end
+
+    function write(self, outstream, value)
+      arguments
+        self
+        outstream (1,1) yardl.binary.CodedOutputStream
+        value (1,1) mrd.PulseqDefinitions
+      end
+      self.write_(outstream, value.gradient_raster_time, value.radiofrequency_raster_time, value.adc_raster_time, value.block_duration_raster, value.name, value.fov, value.total_duration, value.custom);
+    end
+
+    function value = read(self, instream)
+      fields = self.read_(instream);
+      value = mrd.PulseqDefinitions(gradient_raster_time=fields{1}, radiofrequency_raster_time=fields{2}, adc_raster_time=fields{3}, block_duration_raster=fields{4}, name=fields{5}, fov=fields{6}, total_duration=fields{7}, custom=fields{8});
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/+binary/RFEventSerializer.m b/matlab/toolbox/+mrd/+binary/RFEventSerializer.m
new file mode 100644
index 00000000..c96c889c
--- /dev/null
+++ b/matlab/toolbox/+mrd/+binary/RFEventSerializer.m
@@ -0,0 +1,35 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef RFEventSerializer < yardl.binary.RecordSerializer
+  methods
+    function self = RFEventSerializer()
+      field_serializers{1} = yardl.binary.Int32Serializer;
+      field_serializers{2} = yardl.binary.Float64Serializer;
+      field_serializers{3} = yardl.binary.Int32Serializer;
+      field_serializers{4} = yardl.binary.Int32Serializer;
+      field_serializers{5} = yardl.binary.Int32Serializer;
+      field_serializers{6} = yardl.binary.Float64Serializer;
+      field_serializers{7} = yardl.binary.Uint64Serializer;
+      field_serializers{8} = yardl.binary.Float64Serializer;
+      field_serializers{9} = yardl.binary.Float64Serializer;
+      field_serializers{10} = yardl.binary.Float64Serializer;
+      field_serializers{11} = yardl.binary.Float64Serializer;
+      field_serializers{12} = yardl.binary.EnumSerializer('mrd.RFPulseUse', @mrd.RFPulseUse, yardl.binary.Int32Serializer);
+      self@yardl.binary.RecordSerializer('mrd.RFEvent', field_serializers);
+    end
+
+    function write(self, outstream, value)
+      arguments
+        self
+        outstream (1,1) yardl.binary.CodedOutputStream
+        value (1,1) mrd.RFEvent
+      end
+      self.write_(outstream, value.id, value.amp, value.mag_id, value.phase_id, value.time_id, value.center, value.delay, value.freq_ppm, value.phase_ppm, value.freq_offset, value.phase_offset, value.use);
+    end
+
+    function value = read(self, instream)
+      fields = self.read_(instream);
+      value = mrd.RFEvent(id=fields{1}, amp=fields{2}, mag_id=fields{3}, phase_id=fields{4}, time_id=fields{5}, center=fields{6}, delay=fields{7}, freq_ppm=fields{8}, phase_ppm=fields{9}, freq_offset=fields{10}, phase_offset=fields{11}, use=fields{12});
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/+binary/ShapeSerializer.m b/matlab/toolbox/+mrd/+binary/ShapeSerializer.m
new file mode 100644
index 00000000..93c33e46
--- /dev/null
+++ b/matlab/toolbox/+mrd/+binary/ShapeSerializer.m
@@ -0,0 +1,26 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef ShapeSerializer < yardl.binary.RecordSerializer
+  methods
+    function self = ShapeSerializer()
+      field_serializers{1} = yardl.binary.Int32Serializer;
+      field_serializers{2} = yardl.binary.Uint64Serializer;
+      field_serializers{3} = yardl.binary.NDArraySerializer(yardl.binary.Float64Serializer, 1);
+      self@yardl.binary.RecordSerializer('mrd.Shape', field_serializers);
+    end
+
+    function write(self, outstream, value)
+      arguments
+        self
+        outstream (1,1) yardl.binary.CodedOutputStream
+        value (1,1) mrd.Shape
+      end
+      self.write_(outstream, value.id, value.num_samples, value.data);
+    end
+
+    function value = read(self, instream)
+      fields = self.read_(instream);
+      value = mrd.Shape(id=fields{1}, num_samples=fields{2}, data=fields{3});
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/+binary/TrapezoidalGradientSerializer.m b/matlab/toolbox/+mrd/+binary/TrapezoidalGradientSerializer.m
new file mode 100644
index 00000000..55778c0d
--- /dev/null
+++ b/matlab/toolbox/+mrd/+binary/TrapezoidalGradientSerializer.m
@@ -0,0 +1,29 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef TrapezoidalGradientSerializer < yardl.binary.RecordSerializer
+  methods
+    function self = TrapezoidalGradientSerializer()
+      field_serializers{1} = yardl.binary.Int32Serializer;
+      field_serializers{2} = yardl.binary.Float64Serializer;
+      field_serializers{3} = yardl.binary.Uint64Serializer;
+      field_serializers{4} = yardl.binary.Uint64Serializer;
+      field_serializers{5} = yardl.binary.Uint64Serializer;
+      field_serializers{6} = yardl.binary.Uint64Serializer;
+      self@yardl.binary.RecordSerializer('mrd.TrapezoidalGradient', field_serializers);
+    end
+
+    function write(self, outstream, value)
+      arguments
+        self
+        outstream (1,1) yardl.binary.CodedOutputStream
+        value (1,1) mrd.TrapezoidalGradient
+      end
+      self.write_(outstream, value.id, value.amp, value.rise, value.flat, value.fall, value.delay);
+    end
+
+    function value = read(self, instream)
+      fields = self.read_(instream);
+      value = mrd.TrapezoidalGradient(id=fields{1}, amp=fields{2}, rise=fields{3}, flat=fields{4}, fall=fields{5}, delay=fields{6});
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/ADCEvent.m b/matlab/toolbox/+mrd/ADCEvent.m
new file mode 100644
index 00000000..50b853bd
--- /dev/null
+++ b/matlab/toolbox/+mrd/ADCEvent.m
@@ -0,0 +1,89 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef ADCEvent < handle
+  % An ADC event
+  properties
+    % ID of the ADC event
+    id
+    % Number of samples
+    num
+    % The ADC dwell time, specified in nanoseconds
+    dwell
+    % Delay between start of block and first sample, specified in microseconds
+    delay
+    % Frequency offset of the ADC receiver relative to the system frequency,
+    % specified in parts per million (ppm)
+    freq_ppm
+    % Phase offset of the ADC receiver proportional to the system frequency,
+    % specified in rad/MHz
+    phase_ppm
+    % Frequency offset of the ADC receiver in absolute units, specified in Hz
+    freq
+    % Phase offset in absolute units, specified in radians
+    phase
+    % The shape ID
+    phase_shape_id
+  end
+
+  methods
+    function self = ADCEvent(kwargs)
+      arguments
+        kwargs.id = int32(0);
+        kwargs.num = uint64(0);
+        kwargs.dwell = single(0);
+        kwargs.delay = uint64(0);
+        kwargs.freq_ppm = double(0);
+        kwargs.phase_ppm = double(0);
+        kwargs.freq = double(0);
+        kwargs.phase = double(0);
+        kwargs.phase_shape_id = int32(0);
+      end
+      self.id = kwargs.id;
+      self.num = kwargs.num;
+      self.dwell = kwargs.dwell;
+      self.delay = kwargs.delay;
+      self.freq_ppm = kwargs.freq_ppm;
+      self.phase_ppm = kwargs.phase_ppm;
+      self.freq = kwargs.freq;
+      self.phase = kwargs.phase;
+      self.phase_shape_id = kwargs.phase_shape_id;
+    end
+
+    function res = eq(self, other)
+      res = ...
+        isa(other, "mrd.ADCEvent") && ...
+        isequal({self.id}, {other.id}) && ...
+        isequal({self.num}, {other.num}) && ...
+        isequal({self.dwell}, {other.dwell}) && ...
+        isequal({self.delay}, {other.delay}) && ...
+        isequal({self.freq_ppm}, {other.freq_ppm}) && ...
+        isequal({self.phase_ppm}, {other.phase_ppm}) && ...
+        isequal({self.freq}, {other.freq}) && ...
+        isequal({self.phase}, {other.phase}) && ...
+        isequal({self.phase_shape_id}, {other.phase_shape_id});
+    end
+
+    function res = ne(self, other)
+      res = ~self.eq(other);
+    end
+
+    function res = isequal(self, other)
+      res = all(eq(self, other));
+    end
+  end
+
+  methods (Static)
+    function z = zeros(varargin)
+      elem = mrd.ADCEvent();
+      if nargin == 0
+        z = elem;
+        return;
+      end
+      sz = [varargin{:}];
+      if isscalar(sz)
+        sz = [sz, sz];
+      end
+      z = reshape(repelem(elem, prod(sz)), sz);
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/AcquisitionPrototype.m b/matlab/toolbox/+mrd/AcquisitionPrototype.m
new file mode 100644
index 00000000..5b2c519d
--- /dev/null
+++ b/matlab/toolbox/+mrd/AcquisitionPrototype.m
@@ -0,0 +1,52 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef AcquisitionPrototype < handle
+  % Specifies header and data size of an acquisition, without the actual data.
+  properties
+    % Acquisition header template
+    head
+    % Sample counts by coil
+    data_sample_counts
+  end
+
+  methods
+    function self = AcquisitionPrototype(kwargs)
+      arguments
+        kwargs.head = mrd.AcquisitionHeader();
+        kwargs.data_sample_counts = uint32.empty();
+      end
+      self.head = kwargs.head;
+      self.data_sample_counts = kwargs.data_sample_counts;
+    end
+
+    function res = eq(self, other)
+      res = ...
+        isa(other, "mrd.AcquisitionPrototype") && ...
+        isequal({self.head}, {other.head}) && ...
+        isequal({self.data_sample_counts}, {other.data_sample_counts});
+    end
+
+    function res = ne(self, other)
+      res = ~self.eq(other);
+    end
+
+    function res = isequal(self, other)
+      res = all(eq(self, other));
+    end
+  end
+
+  methods (Static)
+    function z = zeros(varargin)
+      elem = mrd.AcquisitionPrototype();
+      if nargin == 0
+        z = elem;
+        return;
+      end
+      sz = [varargin{:}];
+      if isscalar(sz)
+        sz = [sz, sz];
+      end
+      z = reshape(repelem(elem, prod(sz)), sz);
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/ArbitraryGradient.m b/matlab/toolbox/+mrd/ArbitraryGradient.m
new file mode 100644
index 00000000..e4b6aaa0
--- /dev/null
+++ b/matlab/toolbox/+mrd/ArbitraryGradient.m
@@ -0,0 +1,78 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef ArbitraryGradient < handle
+  % An arbitrary gradient event
+  properties
+    % ID of the gradient event. Must be unique among all arbitrary and trapezoidal gradient events.
+    id
+    % Peak amplitude in Hz/m
+    amp
+    % The amplitude at the start of the gradient.
+    first
+    % The amplitude at the end of the gradient.
+    last
+    % Shape ID for the gradient shape
+    shape_id
+    % Shape ID for the time sampling points, specified in the units of GradientRasterTime.
+    % 0 means default time raster, -1 means 1/2 of the default time raster (gradient oversampling case).
+    time_id
+    % Delay before starting the gradient, specified in microseconds
+    delay
+  end
+
+  methods
+    function self = ArbitraryGradient(kwargs)
+      arguments
+        kwargs.id = int32(0);
+        kwargs.amp = double(0);
+        kwargs.first = double(0);
+        kwargs.last = double(0);
+        kwargs.shape_id = int32(0);
+        kwargs.time_id = int32(0);
+        kwargs.delay = uint64(0);
+      end
+      self.id = kwargs.id;
+      self.amp = kwargs.amp;
+      self.first = kwargs.first;
+      self.last = kwargs.last;
+      self.shape_id = kwargs.shape_id;
+      self.time_id = kwargs.time_id;
+      self.delay = kwargs.delay;
+    end
+
+    function res = eq(self, other)
+      res = ...
+        isa(other, "mrd.ArbitraryGradient") && ...
+        isequal({self.id}, {other.id}) && ...
+        isequal({self.amp}, {other.amp}) && ...
+        isequal({self.first}, {other.first}) && ...
+        isequal({self.last}, {other.last}) && ...
+        isequal({self.shape_id}, {other.shape_id}) && ...
+        isequal({self.time_id}, {other.time_id}) && ...
+        isequal({self.delay}, {other.delay});
+    end
+
+    function res = ne(self, other)
+      res = ~self.eq(other);
+    end
+
+    function res = isequal(self, other)
+      res = all(eq(self, other));
+    end
+  end
+
+  methods (Static)
+    function z = zeros(varargin)
+      elem = mrd.ArbitraryGradient();
+      if nargin == 0
+        z = elem;
+        return;
+      end
+      sz = [varargin{:}];
+      if isscalar(sz)
+        sz = [sz, sz];
+      end
+      z = reshape(repelem(elem, prod(sz)), sz);
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/Block.m b/matlab/toolbox/+mrd/Block.m
new file mode 100644
index 00000000..f04837fe
--- /dev/null
+++ b/matlab/toolbox/+mrd/Block.m
@@ -0,0 +1,82 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef Block < handle
+  % A sequence block that includes possible RF, gradient, and ADC events.
+  properties
+    % ID of the sequence block
+    id
+    % Duration of the block in units of Definitions.blockDurationRaster
+    duration
+    % ID of the RF event
+    rf
+    % ID of the gradient event on the X channel
+    gx
+    % ID of the gradient event on the Y channel
+    gy
+    % ID of the gradient event on the Z channel
+    gz
+    % ID of the ADC event
+    adc
+    % ID of the extension table entry
+    ext
+  end
+
+  methods
+    function self = Block(kwargs)
+      arguments
+        kwargs.id = int32(0);
+        kwargs.duration = uint64(0);
+        kwargs.rf = int32(0);
+        kwargs.gx = int32(0);
+        kwargs.gy = int32(0);
+        kwargs.gz = int32(0);
+        kwargs.adc = int32(0);
+        kwargs.ext = int32(0);
+      end
+      self.id = kwargs.id;
+      self.duration = kwargs.duration;
+      self.rf = kwargs.rf;
+      self.gx = kwargs.gx;
+      self.gy = kwargs.gy;
+      self.gz = kwargs.gz;
+      self.adc = kwargs.adc;
+      self.ext = kwargs.ext;
+    end
+
+    function res = eq(self, other)
+      res = ...
+        isa(other, "mrd.Block") && ...
+        isequal({self.id}, {other.id}) && ...
+        isequal({self.duration}, {other.duration}) && ...
+        isequal({self.rf}, {other.rf}) && ...
+        isequal({self.gx}, {other.gx}) && ...
+        isequal({self.gy}, {other.gy}) && ...
+        isequal({self.gz}, {other.gz}) && ...
+        isequal({self.adc}, {other.adc}) && ...
+        isequal({self.ext}, {other.ext});
+    end
+
+    function res = ne(self, other)
+      res = ~self.eq(other);
+    end
+
+    function res = isequal(self, other)
+      res = all(eq(self, other));
+    end
+  end
+
+  methods (Static)
+    function z = zeros(varargin)
+      elem = mrd.Block();
+      if nargin == 0
+        z = elem;
+        return;
+      end
+      sz = [varargin{:}];
+      if isscalar(sz)
+        sz = [sz, sz];
+      end
+      z = reshape(repelem(elem, prod(sz)), sz);
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/MrdWriterBase.m b/matlab/toolbox/+mrd/MrdWriterBase.m
index 4057451e..b2fb00b4 100644
--- a/matlab/toolbox/+mrd/MrdWriterBase.m
+++ b/matlab/toolbox/+mrd/MrdWriterBase.m
@@ -51,7 +51,7 @@ function end_data(self)
 
   methods (Static)
     function res = schema()
-      res = string('{"protocol":{"name":"Mrd","sequence":[{"name":"header","type":[null,"Mrd.Header"]},{"name":"data","type":{"stream":{"items":"Mrd.StreamItem"}}}]},"types":[{"name":"AccelerationFactorType","fields":[{"name":"kspaceEncodingStep1","type":"uint32"},{"name":"kspaceEncodingStep2","type":"uint32"}]},{"name":"Acquisition","fields":[{"name":"head","type":"Mrd.AcquisitionHeader"},{"name":"data","type":"Mrd.AcquisitionData"},{"name":"trajectory","type":"Mrd.TrajectoryData"}]},{"name":"Acquisition","fields":[{"name":"head","type":"Mrd.AcquisitionHeader"},{"name":"data","type":"Mrd.AcquisitionData"},{"name":"trajectory","type":"Mrd.TrajectoryData"}]},{"name":"AcquisitionBucket","fields":[{"name":"data","type":{"vector":{"items":"Mrd.Acquisition"}}},{"name":"ref","type":{"vector":{"items":"Mrd.Acquisition"}}},{"name":"datastats","type":{"vector":{"items":"Mrd.EncodingLimitsType"}}},{"name":"refstats","type":{"vector":{"items":"Mrd.EncodingLimitsType"}}},{"name":"waveforms","type":{"vector":{"items":"Mrd.WaveformUint32"}}}]},{"name":"AcquisitionData","type":{"array":{"items":"complexfloat32","dimensions":[{"name":"coils"},{"name":"samples"}]}}},{"name":"AcquisitionFlags","base":"uint64","values":[{"symbol":"firstInEncodeStep1","value":1},{"symbol":"lastInEncodeStep1","value":2},{"symbol":"firstInEncodeStep2","value":4},{"symbol":"lastInEncodeStep2","value":8},{"symbol":"firstInAverage","value":16},{"symbol":"lastInAverage","value":32},{"symbol":"firstInSlice","value":64},{"symbol":"lastInSlice","value":128},{"symbol":"firstInContrast","value":256},{"symbol":"lastInContrast","value":512},{"symbol":"firstInPhase","value":1024},{"symbol":"lastInPhase","value":2048},{"symbol":"firstInRepetition","value":4096},{"symbol":"lastInRepetition","value":8192},{"symbol":"firstInSet","value":16384},{"symbol":"lastInSet","value":32768},{"symbol":"firstInSegment","value":65536},{"symbol":"lastInSegment","value":131072},{"symbol":"isNoiseMeasurement","value":262144},{"symbol":"isParallelCalibration","value":524288},{"symbol":"isParallelCalibrationAndImaging","value":1048576},{"symbol":"isReverse","value":2097152},{"symbol":"isNavigationData","value":4194304},{"symbol":"isPhasecorrData","value":8388608},{"symbol":"lastInMeasurement","value":16777216},{"symbol":"isHpfeedbackData","value":33554432},{"symbol":"isDummyscanData","value":67108864},{"symbol":"isRtfeedbackData","value":134217728},{"symbol":"isSurfacecoilcorrectionscanData","value":268435456},{"symbol":"isPhaseStabilizationReference","value":536870912},{"symbol":"isPhaseStabilization","value":1073741824}]},{"name":"AcquisitionHeader","fields":[{"name":"flags","type":"Mrd.AcquisitionFlags"},{"name":"idx","type":"Mrd.EncodingCounters"},{"name":"measurementUid","type":"uint32"},{"name":"scanCounter","type":[null,"uint32"]},{"name":"acquisitionTimeStampNs","type":[null,"uint64"]},{"name":"physiologyTimeStampNs","type":{"vector":{"items":"uint64"}}},{"name":"channelOrder","type":{"vector":{"items":"uint32"}}},{"name":"discardPre","type":[null,"uint32"]},{"name":"discardPost","type":[null,"uint32"]},{"name":"centerSample","type":[null,"uint32"]},{"name":"encodingSpaceRef","type":[null,"uint32"]},{"name":"sampleTimeNs","type":[null,"uint64"]},{"name":"position","type":{"array":{"items":"float32","dimensions":[{"length":3}]}}},{"name":"readDir","type":{"array":{"items":"float32","dimensions":[{"length":3}]}}},{"name":"phaseDir","type":{"array":{"items":"float32","dimensions":[{"length":3}]}}},{"name":"sliceDir","type":{"array":{"items":"float32","dimensions":[{"length":3}]}}},{"name":"patientTablePosition","type":{"array":{"items":"float32","dimensions":[{"length":3}]}}},{"name":"userInt","type":{"vector":{"items":"int32"}}},{"name":"userFloat","type":{"vector":{"items":"float32"}}}]},{"name":"AcquisitionSystemInformationType","fields":[{"name":"systemVendor","type":[null,"string"]},{"name":"systemModel","type":[null,"string"]},{"name":"systemFieldStrengthT","type":[null,"float32"]},{"name":"relativeReceiverNoiseBandwidth","type":[null,"float32"]},{"name":"receiverChannels","type":[null,"uint32"]},{"name":"coilLabel","type":{"vector":{"items":"Mrd.CoilLabelType"}}},{"name":"institutionName","type":[null,"string"]},{"name":"stationName","type":[null,"string"]},{"name":"deviceID","type":[null,"string"]},{"name":"deviceSerialNumber","type":[null,"string"]}]},{"name":"Array","typeParameters":["T"],"type":{"array":{"items":"T"}}},{"name":"ArrayComplexFloat","type":{"name":"Mrd.Array","typeArguments":["complexfloat32"]}},{"name":"Calibration","values":[{"symbol":"separable2D","value":0},{"symbol":"full3D","value":1},{"symbol":"other","value":2}]},{"name":"CalibrationMode","values":[{"symbol":"noacceleration","value":0},{"symbol":"embedded","value":1},{"symbol":"interleaved","value":2},{"symbol":"separate","value":3},{"symbol":"external","value":4},{"symbol":"other","value":5}]},{"name":"CoilLabelType","fields":[{"name":"coilNumber","type":"uint32"},{"name":"coilName","type":"string"}]},{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     end
   end
 
diff --git a/matlab/toolbox/+mrd/PulseqDefinitions.m b/matlab/toolbox/+mrd/PulseqDefinitions.m
new file mode 100644
index 00000000..41d9ac53
--- /dev/null
+++ b/matlab/toolbox/+mrd/PulseqDefinitions.m
@@ -0,0 +1,85 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef PulseqDefinitions < handle
+  % Pulseq definitions
+  properties
+    % Default raster time (dwell time) of the shaped gradient events, specified in seconds
+    gradient_raster_time
+    % Default raster time (dwell time) of the radio-frequency pulse shapes, specified in seconds
+    radiofrequency_raster_time
+    % The value defining the alignment of the ADC dwell times.
+    % ADC dwell time must be integer multiple of the specified adcRasterTime.
+    % adcRasterTime is specified in seconds
+    adc_raster_time
+    % The value defining the alignment of the block durations, specified in seconds;
+    % the physical block duration must be integer multiple of the specified blockDurationRaster.
+    % Block duration in the blocks section are specified in the units of blockDurationRaster
+    block_duration_raster
+    % Human-readable name of the sequence
+    name
+    % Field of view specified in meters.
+    fov
+    % Total duration of the sequence is seconds
+    total_duration
+    custom
+  end
+
+  methods
+    function self = PulseqDefinitions(kwargs)
+      arguments
+        kwargs.gradient_raster_time = double(0);
+        kwargs.radiofrequency_raster_time = double(0);
+        kwargs.adc_raster_time = double(0);
+        kwargs.block_duration_raster = double(0);
+        kwargs.name = yardl.None;
+        kwargs.fov = yardl.None;
+        kwargs.total_duration = yardl.None;
+        kwargs.custom = yardl.Map;
+      end
+      self.gradient_raster_time = kwargs.gradient_raster_time;
+      self.radiofrequency_raster_time = kwargs.radiofrequency_raster_time;
+      self.adc_raster_time = kwargs.adc_raster_time;
+      self.block_duration_raster = kwargs.block_duration_raster;
+      self.name = kwargs.name;
+      self.fov = kwargs.fov;
+      self.total_duration = kwargs.total_duration;
+      self.custom = kwargs.custom;
+    end
+
+    function res = eq(self, other)
+      res = ...
+        isa(other, "mrd.PulseqDefinitions") && ...
+        isequal({self.gradient_raster_time}, {other.gradient_raster_time}) && ...
+        isequal({self.radiofrequency_raster_time}, {other.radiofrequency_raster_time}) && ...
+        isequal({self.adc_raster_time}, {other.adc_raster_time}) && ...
+        isequal({self.block_duration_raster}, {other.block_duration_raster}) && ...
+        isequal({self.name}, {other.name}) && ...
+        isequal({self.fov}, {other.fov}) && ...
+        isequal({self.total_duration}, {other.total_duration}) && ...
+        isequal({self.custom}, {other.custom});
+    end
+
+    function res = ne(self, other)
+      res = ~self.eq(other);
+    end
+
+    function res = isequal(self, other)
+      res = all(eq(self, other));
+    end
+  end
+
+  methods (Static)
+    function z = zeros(varargin)
+      elem = mrd.PulseqDefinitions();
+      if nargin == 0
+        z = elem;
+        return;
+      end
+      sz = [varargin{:}];
+      if isscalar(sz)
+        sz = [sz, sz];
+      end
+      z = reshape(repelem(elem, prod(sz)), sz);
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/RFEvent.m b/matlab/toolbox/+mrd/RFEvent.m
new file mode 100644
index 00000000..a500fa8e
--- /dev/null
+++ b/matlab/toolbox/+mrd/RFEvent.m
@@ -0,0 +1,106 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef RFEvent < handle
+  % An RF event
+  properties
+    % ID of the RF event
+    id
+    % Peak amplitude in Hz
+    amp
+    % Shape ID for the magnitude profile
+    mag_id
+    % Shape ID for the phase profile
+    phase_id
+    % Shape ID for the time sampling points, specified in the units of
+    % RadiofrequencyRasterTime.
+    % 0 means default time raster
+    time_id
+    % Time point in microseconds relative to the beginning of
+    % the RF shape at which the effective rotation takes place
+    center
+    % Delay before starting the RF pulse, specified in microseconds
+    delay
+    % Frequency offset relative to the main system's frequency,
+    % specified in parts per million (ppm)
+    freq_ppm
+    % Phase offset proportional to the main system's frequency,
+    % specified in rad/MHz
+    phase_ppm
+    % Frequency offset in absolute units, specified in Hz
+    freq_offset
+    % Phase offset in absolute units, specified in radians
+    phase_offset
+    use
+  end
+
+  methods
+    function self = RFEvent(kwargs)
+      arguments
+        kwargs.id = int32(0);
+        kwargs.amp = double(0);
+        kwargs.mag_id = int32(0);
+        kwargs.phase_id = int32(0);
+        kwargs.time_id = int32(0);
+        kwargs.center = double(0);
+        kwargs.delay = uint64(0);
+        kwargs.freq_ppm = double(0);
+        kwargs.phase_ppm = double(0);
+        kwargs.freq_offset = double(0);
+        kwargs.phase_offset = double(0);
+        kwargs.use = mrd.RFPulseUse.UNDEFINED;
+      end
+      self.id = kwargs.id;
+      self.amp = kwargs.amp;
+      self.mag_id = kwargs.mag_id;
+      self.phase_id = kwargs.phase_id;
+      self.time_id = kwargs.time_id;
+      self.center = kwargs.center;
+      self.delay = kwargs.delay;
+      self.freq_ppm = kwargs.freq_ppm;
+      self.phase_ppm = kwargs.phase_ppm;
+      self.freq_offset = kwargs.freq_offset;
+      self.phase_offset = kwargs.phase_offset;
+      self.use = kwargs.use;
+    end
+
+    function res = eq(self, other)
+      res = ...
+        isa(other, "mrd.RFEvent") && ...
+        isequal({self.id}, {other.id}) && ...
+        isequal({self.amp}, {other.amp}) && ...
+        isequal({self.mag_id}, {other.mag_id}) && ...
+        isequal({self.phase_id}, {other.phase_id}) && ...
+        isequal({self.time_id}, {other.time_id}) && ...
+        isequal({self.center}, {other.center}) && ...
+        isequal({self.delay}, {other.delay}) && ...
+        isequal({self.freq_ppm}, {other.freq_ppm}) && ...
+        isequal({self.phase_ppm}, {other.phase_ppm}) && ...
+        isequal({self.freq_offset}, {other.freq_offset}) && ...
+        isequal({self.phase_offset}, {other.phase_offset}) && ...
+        isequal({self.use}, {other.use});
+    end
+
+    function res = ne(self, other)
+      res = ~self.eq(other);
+    end
+
+    function res = isequal(self, other)
+      res = all(eq(self, other));
+    end
+  end
+
+  methods (Static)
+    function z = zeros(varargin)
+      elem = mrd.RFEvent();
+      if nargin == 0
+        z = elem;
+        return;
+      end
+      sz = [varargin{:}];
+      if isscalar(sz)
+        sz = [sz, sz];
+      end
+      z = reshape(repelem(elem, prod(sz)), sz);
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/RFPulseUse.m b/matlab/toolbox/+mrd/RFPulseUse.m
new file mode 100644
index 00000000..db84d3de
--- /dev/null
+++ b/matlab/toolbox/+mrd/RFPulseUse.m
@@ -0,0 +1,40 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef RFPulseUse < uint64
+  methods (Static)
+    function v = UNDEFINED
+      v = mrd.RFPulseUse(0);
+    end
+    function v = EXCITATION
+      v = mrd.RFPulseUse(1);
+    end
+    function v = REFOCUSING
+      v = mrd.RFPulseUse(2);
+    end
+    function v = INVERSION
+      v = mrd.RFPulseUse(3);
+    end
+    function v = SATURATION
+      v = mrd.RFPulseUse(4);
+    end
+    function v = PREPARATION
+      v = mrd.RFPulseUse(5);
+    end
+    function v = OTHER
+      v = mrd.RFPulseUse(6);
+    end
+
+    function z = zeros(varargin)
+      elem = mrd.RFPulseUse(0);
+      if nargin == 0
+        z = elem;
+        return;
+      end
+      sz = [varargin{:}];
+      if isscalar(sz)
+        sz = [sz, sz];
+      end
+      z = reshape(repelem(elem, prod(sz)), sz);
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/Shape.m b/matlab/toolbox/+mrd/Shape.m
new file mode 100644
index 00000000..48019905
--- /dev/null
+++ b/matlab/toolbox/+mrd/Shape.m
@@ -0,0 +1,59 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef Shape < handle
+  % A list of samples that is potentially compressed.
+  % If numSamples == size(data) then the shape is uncompressed.
+  properties
+    % ID of the shape
+    id
+    % Number of samples of the uncompressed shape
+    num_samples
+    % Samples of the (potentially) compressed shape. See the Pulseq specification for compression details.
+    % In the spec, this should be float32, but PyPulseq uses float64.
+    data
+  end
+
+  methods
+    function self = Shape(kwargs)
+      arguments
+        kwargs.id = int32(0);
+        kwargs.num_samples = uint64(0);
+        kwargs.data = double.empty();
+      end
+      self.id = kwargs.id;
+      self.num_samples = kwargs.num_samples;
+      self.data = kwargs.data;
+    end
+
+    function res = eq(self, other)
+      res = ...
+        isa(other, "mrd.Shape") && ...
+        isequal({self.id}, {other.id}) && ...
+        isequal({self.num_samples}, {other.num_samples}) && ...
+        isequal({self.data}, {other.data});
+    end
+
+    function res = ne(self, other)
+      res = ~self.eq(other);
+    end
+
+    function res = isequal(self, other)
+      res = all(eq(self, other));
+    end
+  end
+
+  methods (Static)
+    function z = zeros(varargin)
+      elem = mrd.Shape();
+      if nargin == 0
+        z = elem;
+        return;
+      end
+      sz = [varargin{:}];
+      if isscalar(sz)
+        sz = [sz, sz];
+      end
+      z = reshape(repelem(elem, prod(sz)), sz);
+    end
+  end
+end
diff --git a/matlab/toolbox/+mrd/StreamItem.m b/matlab/toolbox/+mrd/StreamItem.m
index b803e8d8..8f396452 100644
--- a/matlab/toolbox/+mrd/StreamItem.m
+++ b/matlab/toolbox/+mrd/StreamItem.m
@@ -6,58 +6,90 @@
       res = mrd.StreamItem(1, value);
     end
 
-    function res = WaveformUint32(value)
+    function res = AcquisitionPrototype(value)
       res = mrd.StreamItem(2, value);
     end
 
-    function res = ImageUint16(value)
+    function res = WaveformUint32(value)
       res = mrd.StreamItem(3, value);
     end
 
-    function res = ImageInt16(value)
+    function res = ImageUint16(value)
       res = mrd.StreamItem(4, value);
     end
 
-    function res = ImageUint32(value)
+    function res = ImageInt16(value)
       res = mrd.StreamItem(5, value);
     end
 
-    function res = ImageInt32(value)
+    function res = ImageUint32(value)
       res = mrd.StreamItem(6, value);
     end
 
-    function res = ImageFloat(value)
+    function res = ImageInt32(value)
       res = mrd.StreamItem(7, value);
     end
 
-    function res = ImageDouble(value)
+    function res = ImageFloat(value)
       res = mrd.StreamItem(8, value);
     end
 
-    function res = ImageComplexFloat(value)
+    function res = ImageDouble(value)
       res = mrd.StreamItem(9, value);
     end
 
-    function res = ImageComplexDouble(value)
+    function res = ImageComplexFloat(value)
       res = mrd.StreamItem(10, value);
     end
 
-    function res = AcquisitionBucket(value)
+    function res = ImageComplexDouble(value)
       res = mrd.StreamItem(11, value);
     end
 
-    function res = ReconData(value)
+    function res = AcquisitionBucket(value)
       res = mrd.StreamItem(12, value);
     end
 
-    function res = ArrayComplexFloat(value)
+    function res = ReconData(value)
       res = mrd.StreamItem(13, value);
     end
 
-    function res = ImageArray(value)
+    function res = ArrayComplexFloat(value)
       res = mrd.StreamItem(14, value);
     end
 
+    function res = ImageArray(value)
+      res = mrd.StreamItem(15, value);
+    end
+
+    function res = PulseqDefinitions(value)
+      res = mrd.StreamItem(16, value);
+    end
+
+    function res = Blocks(value)
+      res = mrd.StreamItem(17, value);
+    end
+
+    function res = Rf(value)
+      res = mrd.StreamItem(18, value);
+    end
+
+    function res = ArbitraryGradient(value)
+      res = mrd.StreamItem(19, value);
+    end
+
+    function res = TrapezoidalGradient(value)
+      res = mrd.StreamItem(20, value);
+    end
+
+    function res = Adc(value)
+      res = mrd.StreamItem(21, value);
+    end
+
+    function res = Shape(value)
+      res = mrd.StreamItem(22, value);
+    end
+
     function z = zeros(varargin)
       elem = mrd.StreamItem(0, yardl.None);
       if nargin == 0
@@ -77,58 +109,90 @@
       res = self.index == 1;
     end
 
-    function res = isWaveformUint32(self)
+    function res = isAcquisitionPrototype(self)
       res = self.index == 2;
     end
 
-    function res = isImageUint16(self)
+    function res = isWaveformUint32(self)
       res = self.index == 3;
     end
 
-    function res = isImageInt16(self)
+    function res = isImageUint16(self)
       res = self.index == 4;
     end
 
-    function res = isImageUint32(self)
+    function res = isImageInt16(self)
       res = self.index == 5;
     end
 
-    function res = isImageInt32(self)
+    function res = isImageUint32(self)
       res = self.index == 6;
     end
 
-    function res = isImageFloat(self)
+    function res = isImageInt32(self)
       res = self.index == 7;
     end
 
-    function res = isImageDouble(self)
+    function res = isImageFloat(self)
       res = self.index == 8;
     end
 
-    function res = isImageComplexFloat(self)
+    function res = isImageDouble(self)
       res = self.index == 9;
     end
 
-    function res = isImageComplexDouble(self)
+    function res = isImageComplexFloat(self)
       res = self.index == 10;
     end
 
-    function res = isAcquisitionBucket(self)
+    function res = isImageComplexDouble(self)
       res = self.index == 11;
     end
 
-    function res = isReconData(self)
+    function res = isAcquisitionBucket(self)
       res = self.index == 12;
     end
 
-    function res = isArrayComplexFloat(self)
+    function res = isReconData(self)
       res = self.index == 13;
     end
 
-    function res = isImageArray(self)
+    function res = isArrayComplexFloat(self)
       res = self.index == 14;
     end
 
+    function res = isImageArray(self)
+      res = self.index == 15;
+    end
+
+    function res = isPulseqDefinitions(self)
+      res = self.index == 16;
+    end
+
+    function res = isBlocks(self)
+      res = self.index == 17;
+    end
+
+    function res = isRf(self)
+      res = self.index == 18;
+    end
+
+    function res = isArbitraryGradient(self)
+      res = self.index == 19;
+    end
+
+    function res = isTrapezoidalGradient(self)
+      res = self.index == 20;
+    end
+
+    function res = isAdc(self)
+      res = self.index == 21;
+    end
+
+    function res = isShape(self)
+      res = self.index == 22;
+    end
+
     function eq = eq(self, other)
       eq = isa(other, "mrd.StreamItem") && all([self.index_] == [other.index_], 'all') && all([self.value] == [other.value], 'all');
     end
@@ -138,7 +202,7 @@
     end
 
     function t = tag(self)
-      tags_ = ["Acquisition", "WaveformUint32", "ImageUint16", "ImageInt16", "ImageUint32", "ImageInt32", "ImageFloat", "ImageDouble", "ImageComplexFloat", "ImageComplexDouble", "AcquisitionBucket", "ReconData", "ArrayComplexFloat", "ImageArray"];
+      tags_ = ["Acquisition", "AcquisitionPrototype", "WaveformUint32", "ImageUint16", "ImageInt16", "ImageUint32", "ImageInt32", "ImageFloat", "ImageDouble", "ImageComplexFloat", "ImageComplexDouble", "AcquisitionBucket", "ReconData", "ArrayComplexFloat", "ImageArray", "PulseqDefinitions", "Blocks", "Rf", "ArbitraryGradient", "TrapezoidalGradient", "Adc", "Shape"];
       t = tags_(self.index_);
     end
   end
diff --git a/matlab/toolbox/+mrd/TrapezoidalGradient.m b/matlab/toolbox/+mrd/TrapezoidalGradient.m
new file mode 100644
index 00000000..d6ef03ea
--- /dev/null
+++ b/matlab/toolbox/+mrd/TrapezoidalGradient.m
@@ -0,0 +1,72 @@
+% This file was generated by the "yardl" tool. DO NOT EDIT.
+
+classdef TrapezoidalGradient < handle
+  % A trapezoidal gradient event
+  properties
+    % ID of the gradient event. Must be unique among all arbitrary and trapezoidal gradient events.
+    id
+    % Peak amplitude in Hz/m
+    amp
+    % Rise time of the trapezoid in microseconds
+    rise
+    % Flat-top time of the trapezoid in microseconds
+    flat
+    % Fall time of the trapezoid in microseconds
+    fall
+    % Delay before starting the gradient, specified in microseconds
+    delay
+  end
+
+  methods
+    function self = TrapezoidalGradient(kwargs)
+      arguments
+        kwargs.id = int32(0);
+        kwargs.amp = double(0);
+        kwargs.rise = uint64(0);
+        kwargs.flat = uint64(0);
+        kwargs.fall = uint64(0);
+        kwargs.delay = uint64(0);
+      end
+      self.id = kwargs.id;
+      self.amp = kwargs.amp;
+      self.rise = kwargs.rise;
+      self.flat = kwargs.flat;
+      self.fall = kwargs.fall;
+      self.delay = kwargs.delay;
+    end
+
+    function res = eq(self, other)
+      res = ...
+        isa(other, "mrd.TrapezoidalGradient") && ...
+        isequal({self.id}, {other.id}) && ...
+        isequal({self.amp}, {other.amp}) && ...
+        isequal({self.rise}, {other.rise}) && ...
+        isequal({self.flat}, {other.flat}) && ...
+        isequal({self.fall}, {other.fall}) && ...
+        isequal({self.delay}, {other.delay});
+    end
+
+    function res = ne(self, other)
+      res = ~self.eq(other);
+    end
+
+    function res = isequal(self, other)
+      res = all(eq(self, other));
+    end
+  end
+
+  methods (Static)
+    function z = zeros(varargin)
+      elem = mrd.TrapezoidalGradient();
+      if nargin == 0
+        z = elem;
+        return;
+      end
+      sz = [varargin{:}];
+      if isscalar(sz)
+        sz = [sz, sz];
+      end
+      z = reshape(repelem(elem, prod(sz)), sz);
+    end
+  end
+end
diff --git a/model/mrd_acquisition.yml b/model/mrd_acquisition.yml
index b6c55bd4..d6b2472a 100644
--- a/model/mrd_acquisition.yml
+++ b/model/mrd_acquisition.yml
@@ -124,4 +124,12 @@ Acquisition: !record
     samples: size(data, "samples")
     activeChannels: size(head.channelOrder)
     trajectoryDimensions: size(trajectory, "basis")
-    trajectorySamples: size(trajectory, "samples")
\ No newline at end of file
+    trajectorySamples: size(trajectory, "samples")
+
+# Specifies header and data size of an acquisition, without the actual data.
+AcquisitionPrototype: !record
+  fields:
+    # Acquisition header template
+    head: AcquisitionHeader
+    # Sample counts by coil
+    dataSampleCounts: uint[()]
diff --git a/model/mrd_protocol.yml b/model/mrd_protocol.yml
index d185d883..54808b3e 100644
--- a/model/mrd_protocol.yml
+++ b/model/mrd_protocol.yml
@@ -1,19 +1,27 @@
 # Union of all primary types that can be streamed in the MRD Protocol
-StreamItem:
-  - Acquisition
-  - WaveformUint32
-  - ImageUint16
-  - ImageInt16
-  - ImageUint32
-  - ImageInt32
-  - ImageFloat
-  - ImageDouble
-  - ImageComplexFloat
-  - ImageComplexDouble
-  - AcquisitionBucket
-  - ReconData
-  - ArrayComplexFloat
-  - ImageArray
+StreamItem: !union
+  acquisition: Acquisition
+  acquisitionPrototype: AcquisitionPrototype
+  waveformUint32: WaveformUint32
+  imageUint16: ImageUint16
+  imageInt16: ImageInt16
+  imageUint32: ImageUint32
+  imageInt32: ImageInt32
+  imageFloat: ImageFloat
+  imageDouble: ImageDouble
+  imageComplexFloat: ImageComplexFloat
+  imageComplexDouble: ImageComplexDouble
+  acquisitionBucket: AcquisitionBucket
+  reconData: ReconData
+  arrayComplexFloat: ArrayComplexFloat
+  imageArray: ImageArray
+  pulseqDefinitions: PulseqDefinitions
+  blocks: Block*
+  rf: RFEvent
+  arbitraryGradient: ArbitraryGradient
+  trapezoidalGradient: TrapezoidalGradient
+  adc: ADCEvent
+  shape: Shape
 
 
 # The MRD Protocol
diff --git a/model/mrd_pulseq.yml b/model/mrd_pulseq.yml
new file mode 100644
index 00000000..36a6a978
--- /dev/null
+++ b/model/mrd_pulseq.yml
@@ -0,0 +1,203 @@
+# Pulseq definitions
+PulseqDefinitions: !record
+  fields:
+    # Default raster time (dwell time) of the shaped gradient events, specified in seconds
+    gradientRasterTime: float64
+
+    # Default raster time (dwell time) of the radio-frequency pulse shapes, specified in seconds
+    radiofrequencyRasterTime: float64
+
+    # The value defining the alignment of the ADC dwell times.
+    # ADC dwell time must be integer multiple of the specified adcRasterTime.
+    # adcRasterTime is specified in seconds
+    adcRasterTime: float64
+
+    # The value defining the alignment of the block durations, specified in seconds;
+    # the physical block duration must be integer multiple of the specified blockDurationRaster.
+    # Block duration in the blocks section are specified in the units of blockDurationRaster
+    blockDurationRaster: float64
+
+    # Human-readable name of the sequence
+    name: string?
+
+    # Field of view specified in meters.
+    fov: ThreeDimensionalFloat?
+
+    # Total duration of the sequence is seconds
+    totalDuration: float64?
+
+    custom: string->string
+
+# A sequence block that includes possible RF, gradient, and ADC events.
+Block: !record
+  fields:
+    # ID of the sequence block
+    id: int32
+
+    # Duration of the block in units of Definitions.blockDurationRaster
+    duration: uint64
+
+    # ID of the RF event
+    rf: int32
+
+    # ID of the gradient event on the X channel
+    gx: int32
+
+    # ID of the gradient event on the Y channel
+    gy: int32
+
+    # ID of the gradient event on the Z channel
+    gz: int32
+
+    # ID of the ADC event
+    adc: int32
+
+    # ID of the extension table entry
+    ext: int32
+
+
+RFPulseUse: !enum
+  values:
+    - undefined
+    - excitation
+    - refocusing
+    - inversion
+    - saturation
+    - preparation
+    - other
+
+# An RF event
+RFEvent: !record
+  fields:
+    # ID of the RF event
+    id: int32
+
+    # Peak amplitude in Hz
+    amp: float64
+
+    # Shape ID for the magnitude profile
+    magId: int32
+
+    # Shape ID for the phase profile
+    phaseId: int32
+
+    # Shape ID for the time sampling points, specified in the units of
+    # RadiofrequencyRasterTime.
+    # 0 means default time raster
+    timeId: int32
+
+    # Time point in microseconds relative to the beginning of
+    # the RF shape at which the effective rotation takes place
+    center: float64
+
+    # Delay before starting the RF pulse, specified in microseconds
+    delay: uint64
+
+    # Frequency offset relative to the main system's frequency,
+    # specified in parts per million (ppm)
+    freqPPM: float64
+
+    # Phase offset proportional to the main system's frequency,
+    # specified in rad/MHz
+    phasePPM: float64
+
+    # Frequency offset in absolute units, specified in Hz
+    freqOffset: float64
+
+    # Phase offset in absolute units, specified in radians
+    phaseOffset: float64
+
+    use: RFPulseUse
+
+# An arbitrary gradient event
+ArbitraryGradient: !record
+  fields:
+    # ID of the gradient event. Must be unique among all arbitrary and trapezoidal gradient events.
+    id: int32
+
+    # Peak amplitude in Hz/m
+    amp: float64
+
+    # The amplitude at the start of the gradient.
+    first: float64
+
+    # The amplitude at the end of the gradient.
+    last: float64
+
+    # Shape ID for the gradient shape
+    shapeId: int32
+
+    # Shape ID for the time sampling points, specified in the units of GradientRasterTime.
+    # 0 means default time raster, -1 means 1/2 of the default time raster (gradient oversampling case).
+    timeId: int32
+
+    # Delay before starting the gradient, specified in microseconds
+    delay: uint64
+
+# A trapezoidal gradient event
+TrapezoidalGradient: !record
+  fields:
+    # ID of the gradient event. Must be unique among all arbitrary and trapezoidal gradient events.
+    id: int32
+
+    # Peak amplitude in Hz/m
+    amp: float64
+
+    # Rise time of the trapezoid in microseconds
+    rise: uint64
+
+    # Flat-top time of the trapezoid in microseconds
+    flat: uint64
+
+    # Fall time of the trapezoid in microseconds
+    fall: uint64
+
+    # Delay before starting the gradient, specified in microseconds
+    delay: uint64
+
+
+# An ADC event
+ADCEvent: !record
+  fields:
+    # ID of the ADC event
+    id: int32
+
+    # Number of samples
+    num: uint64
+
+    # The ADC dwell time, specified in nanoseconds
+    dwell: float
+
+    # Delay between start of block and first sample, specified in microseconds
+    delay: uint64
+
+    # Frequency offset of the ADC receiver relative to the system frequency,
+    # specified in parts per million (ppm)
+    freqPPM: float64
+
+    # Phase offset of the ADC receiver proportional to the system frequency,
+    # specified in rad/MHz
+    phasePPM: float64
+
+    # Frequency offset of the ADC receiver in absolute units, specified in Hz
+    freq: float64
+
+    # Phase offset in absolute units, specified in radians
+    phase: float64
+
+    # The shape ID
+    phaseShapeId: int32
+
+# A list of samples that is potentially compressed.
+# If numSamples == size(data) then the shape is uncompressed.
+Shape: !record
+  fields:
+    # ID of the shape
+    id: int32
+
+    # Number of samples of the uncompressed shape
+    numSamples: uint64
+
+    # Samples of the (potentially) compressed shape. See the Pulseq specification for compression details.
+    # In the spec, this should be float32, but PyPulseq uses float64.
+    data: float64[()]
diff --git a/python/mrd/__init__.py b/python/mrd/__init__.py
index 52e0c64d..809e4329 100644
--- a/python/mrd/__init__.py
+++ b/python/mrd/__init__.py
@@ -20,16 +20,20 @@ def _parse_version(version: str) -> _Tuple[int, ...]:
 
 from .yardl_types import *
 from .types import (
+    ADCEvent,
     AccelerationFactorType,
     Acquisition,
     AcquisitionBucket,
     AcquisitionData,
     AcquisitionFlags,
     AcquisitionHeader,
+    AcquisitionPrototype,
     AcquisitionSystemInformationType,
     AnyImage,
+    ArbitraryGradient,
     Array,
     ArrayComplexFloat,
+    Block,
     Calibration,
     CalibrationMode,
     CoilLabelType,
@@ -70,6 +74,9 @@ def _parse_version(version: str) -> _Tuple[int, ...]:
     ParallelImagingType,
     PatientGender,
     PatientPosition,
+    PulseqDefinitions,
+    RFEvent,
+    RFPulseUse,
     ReconAssembly,
     ReconBuffer,
     ReconData,
@@ -77,6 +84,7 @@ def _parse_version(version: str) -> _Tuple[int, ...]:
     SamplingDescription,
     SamplingLimits,
     SequenceParametersType,
+    Shape,
     StreamItem,
     StudyInformationType,
     SubjectInformationType,
@@ -84,6 +92,7 @@ def _parse_version(version: str) -> _Tuple[int, ...]:
     Trajectory,
     TrajectoryData,
     TrajectoryDescriptionType,
+    TrapezoidalGradient,
     UserParameterBase64Type,
     UserParameterDoubleType,
     UserParameterLongType,
diff --git a/python/mrd/_binary.py b/python/mrd/_binary.py
index 8c3c7d86..72182920 100644
--- a/python/mrd/_binary.py
+++ b/python/mrd/_binary.py
@@ -632,7 +632,7 @@ def write_numpy(self, stream: CodedOutputStream, value: np.complex64) -> None:
         stream.write(self._struct, value.real, value.imag)
 
     def read(self, stream: CodedInputStream) -> ComplexFloat:
-        return ComplexFloat(*stream.read(self._struct))
+        return complex(*stream.read(self._struct))
 
     def read_numpy(self, stream: CodedInputStream) -> np.complex64:
         real, imag = stream.read(self._struct)
@@ -656,7 +656,7 @@ def write_numpy(self, stream: CodedOutputStream, value: np.complex128) -> None:
         stream.write(self._struct, value.real, value.imag)
 
     def read(self, stream: CodedInputStream) -> ComplexDouble:
-        return ComplexDouble(*stream.read(self._struct))
+        return complex(*stream.read(self._struct))
 
     def read_numpy(self, stream: CodedInputStream) -> np.complex128:
         real, imag = stream.read(self._struct)
@@ -687,7 +687,7 @@ def read(self, stream: CodedInputStream) -> str:
         return str(view, "utf-8")
 
     def read_numpy(self, stream: CodedInputStream) -> np.object_:
-        return np.object_(self.read(stream))
+        return np.object_(self.read(stream))  # pyright: ignore [reportReturnType]
 
 
 string_serializer = StringSerializer()
@@ -770,7 +770,7 @@ def read_numpy(self, stream: CodedInputStream) -> np.timedelta64:
 time_serializer = TimeSerializer()
 
 DATETIME_NANOSECONDS_DTYPE = np.dtype("datetime64[ns]")
-EPOCH_DATETIME = datetime.datetime.utcfromtimestamp(0)
+EPOCH_DATETIME = datetime.datetime.fromtimestamp(0, tz=datetime.timezone.utc)
 
 
 class DateTimeSerializer(TypeSerializer[DateTime, np.datetime64]):
@@ -1034,7 +1034,7 @@ def read(self, stream: CodedInputStream) -> list[T]:
         return [self._element_serializer.read(stream) for _ in range(length)]
 
     def read_numpy(self, stream: CodedInputStream) -> np.object_:
-        return np.object_(self.read(stream))
+        return np.object_(self.read(stream))  # pyright: ignore [reportReturnType]
 
 
 TKey = TypeVar("TKey")
@@ -1073,7 +1073,7 @@ def read(self, stream: CodedInputStream) -> dict[TKey, TValue]:
         }
 
     def read_numpy(self, stream: CodedInputStream) -> np.object_:
-        return np.object_(self.read(stream))
+        return np.object_(self.read(stream))  # pyright: ignore [reportReturnType]
 
 
 class NDArraySerializerBase(
diff --git a/python/mrd/_dtypes.py b/python/mrd/_dtypes.py
index 58417889..4215d496 100644
--- a/python/mrd/_dtypes.py
+++ b/python/mrd/_dtypes.py
@@ -3,6 +3,7 @@
 
 import datetime
 from types import GenericAlias
+from typing import Annotated, Any
 import sys
 
 if sys.version_info >= (3, 10):
@@ -15,10 +16,13 @@
 
 def make_get_dtype_func(
     dtype_map: dict[
-        Union[type, GenericAlias],
+        Union[type, GenericAlias, Annotated[Any, Any]],
         Union[np.dtype[Any], Callable[[tuple[type, ...]], np.dtype[Any]]],
-    ]
-) -> Callable[[Union[type, GenericAlias]], np.dtype[Any]]:
+    ],
+) -> Callable[
+    [Union[type, GenericAlias, Annotated[Any, Any]]],
+    np.dtype[Any],
+]:
     dtype_map[bool] = np.dtype(np.bool_)
     dtype_map[yardl.Int8] = np.dtype(np.int8)
     dtype_map[yardl.UInt8] = np.dtype(np.uint8)
@@ -50,7 +54,7 @@ def make_get_dtype_func(
 
     def get_dtype_impl(
         dtype_map: dict[
-            Union[type, GenericAlias],
+            Union[type, GenericAlias, Annotated[Any, Any]],
             Union[np.dtype[Any], Callable[[tuple[type, ...]], np.dtype[Any]]],
         ],
         t: Union[type, GenericAlias],
@@ -65,7 +69,8 @@ def get_dtype_impl(
         origin = get_origin(t)
 
         if origin == Union or (
-            sys.version_info >= (3, 10) and isinstance(t, UnionType)
+            sys.version_info >= (3, 10)
+            and isinstance(t, UnionType)  # pyright: ignore[reportUnnecessaryIsInstance]
         ):
             return _get_union_dtype(get_args(t))
 
diff --git a/python/mrd/_ndjson.py b/python/mrd/_ndjson.py
index 7cb67c1d..427708e3 100644
--- a/python/mrd/_ndjson.py
+++ b/python/mrd/_ndjson.py
@@ -568,7 +568,7 @@ def from_json(self, json_object: object) -> str:
         return cast(str, json_object)
 
     def from_json_to_numpy(self, json_object: object) -> np.object_:
-        return np.object_(json_object)
+        return np.object_(json_object)  # pyright: ignore [reportReturnType]
 
 
 string_converter = StringConverter()
diff --git a/python/mrd/binary.py b/python/mrd/binary.py
index c8321d8e..82bb69d6 100644
--- a/python/mrd/binary.py
+++ b/python/mrd/binary.py
@@ -34,7 +34,7 @@ def _write_header(self, value: typing.Optional[Header]) -> None:
         _binary.OptionalSerializer(HeaderSerializer()).write(self._stream, value)
 
     def _write_data(self, value: collections.abc.Iterable[StreamItem]) -> None:
-        _binary.StreamSerializer(_binary.UnionSerializer(StreamItem, [(StreamItem.Acquisition, AcquisitionSerializer()), (StreamItem.WaveformUint32, WaveformSerializer(_binary.uint32_serializer)), (StreamItem.ImageUint16, ImageSerializer(_binary.uint16_serializer)), (StreamItem.ImageInt16, ImageSerializer(_binary.int16_serializer)), (StreamItem.ImageUint32, ImageSerializer(_binary.uint32_serializer)), (StreamItem.ImageInt32, ImageSerializer(_binary.int32_serializer)), (StreamItem.ImageFloat, ImageSerializer(_binary.float32_serializer)), (StreamItem.ImageDouble, ImageSerializer(_binary.float64_serializer)), (StreamItem.ImageComplexFloat, ImageSerializer(_binary.complexfloat32_serializer)), (StreamItem.ImageComplexDouble, ImageSerializer(_binary.complexfloat64_serializer)), (StreamItem.AcquisitionBucket, AcquisitionBucketSerializer()), (StreamItem.ReconData, ReconDataSerializer()), (StreamItem.ArrayComplexFloat, _binary.DynamicNDArraySerializer(_binary.complexfloat32_serializer)), (StreamItem.ImageArray, ImageArraySerializer())])).write(self._stream, value)
+        _binary.StreamSerializer(_binary.UnionSerializer(StreamItem, [(StreamItem.Acquisition, AcquisitionSerializer()), (StreamItem.AcquisitionPrototype, AcquisitionPrototypeSerializer()), (StreamItem.WaveformUint32, WaveformSerializer(_binary.uint32_serializer)), (StreamItem.ImageUint16, ImageSerializer(_binary.uint16_serializer)), (StreamItem.ImageInt16, ImageSerializer(_binary.int16_serializer)), (StreamItem.ImageUint32, ImageSerializer(_binary.uint32_serializer)), (StreamItem.ImageInt32, ImageSerializer(_binary.int32_serializer)), (StreamItem.ImageFloat, ImageSerializer(_binary.float32_serializer)), (StreamItem.ImageDouble, ImageSerializer(_binary.float64_serializer)), (StreamItem.ImageComplexFloat, ImageSerializer(_binary.complexfloat32_serializer)), (StreamItem.ImageComplexDouble, ImageSerializer(_binary.complexfloat64_serializer)), (StreamItem.AcquisitionBucket, AcquisitionBucketSerializer()), (StreamItem.ReconData, ReconDataSerializer()), (StreamItem.ArrayComplexFloat, _binary.DynamicNDArraySerializer(_binary.complexfloat32_serializer)), (StreamItem.ImageArray, ImageArraySerializer()), (StreamItem.PulseqDefinitions, PulseqDefinitionsSerializer()), (StreamItem.Blocks, _binary.VectorSerializer(BlockSerializer())), (StreamItem.Rf, RFEventSerializer()), (StreamItem.ArbitraryGradient, ArbitraryGradientSerializer()), (StreamItem.TrapezoidalGradient, TrapezoidalGradientSerializer()), (StreamItem.Adc, ADCEventSerializer()), (StreamItem.Shape, ShapeSerializer())])).write(self._stream, value)
 
 
 class BinaryMrdReader(_binary.BinaryProtocolReader, MrdReaderBase):
@@ -52,7 +52,7 @@ def _read_header(self) -> typing.Optional[Header]:
         return _binary.OptionalSerializer(HeaderSerializer()).read(self._stream)
 
     def _read_data(self) -> collections.abc.Iterable[StreamItem]:
-        return _binary.StreamSerializer(_binary.UnionSerializer(StreamItem, [(StreamItem.Acquisition, AcquisitionSerializer()), (StreamItem.WaveformUint32, WaveformSerializer(_binary.uint32_serializer)), (StreamItem.ImageUint16, ImageSerializer(_binary.uint16_serializer)), (StreamItem.ImageInt16, ImageSerializer(_binary.int16_serializer)), (StreamItem.ImageUint32, ImageSerializer(_binary.uint32_serializer)), (StreamItem.ImageInt32, ImageSerializer(_binary.int32_serializer)), (StreamItem.ImageFloat, ImageSerializer(_binary.float32_serializer)), (StreamItem.ImageDouble, ImageSerializer(_binary.float64_serializer)), (StreamItem.ImageComplexFloat, ImageSerializer(_binary.complexfloat32_serializer)), (StreamItem.ImageComplexDouble, ImageSerializer(_binary.complexfloat64_serializer)), (StreamItem.AcquisitionBucket, AcquisitionBucketSerializer()), (StreamItem.ReconData, ReconDataSerializer()), (StreamItem.ArrayComplexFloat, _binary.DynamicNDArraySerializer(_binary.complexfloat32_serializer)), (StreamItem.ImageArray, ImageArraySerializer())])).read(self._stream)
+        return _binary.StreamSerializer(_binary.UnionSerializer(StreamItem, [(StreamItem.Acquisition, AcquisitionSerializer()), (StreamItem.AcquisitionPrototype, AcquisitionPrototypeSerializer()), (StreamItem.WaveformUint32, WaveformSerializer(_binary.uint32_serializer)), (StreamItem.ImageUint16, ImageSerializer(_binary.uint16_serializer)), (StreamItem.ImageInt16, ImageSerializer(_binary.int16_serializer)), (StreamItem.ImageUint32, ImageSerializer(_binary.uint32_serializer)), (StreamItem.ImageInt32, ImageSerializer(_binary.int32_serializer)), (StreamItem.ImageFloat, ImageSerializer(_binary.float32_serializer)), (StreamItem.ImageDouble, ImageSerializer(_binary.float64_serializer)), (StreamItem.ImageComplexFloat, ImageSerializer(_binary.complexfloat32_serializer)), (StreamItem.ImageComplexDouble, ImageSerializer(_binary.complexfloat64_serializer)), (StreamItem.AcquisitionBucket, AcquisitionBucketSerializer()), (StreamItem.ReconData, ReconDataSerializer()), (StreamItem.ArrayComplexFloat, _binary.DynamicNDArraySerializer(_binary.complexfloat32_serializer)), (StreamItem.ImageArray, ImageArraySerializer()), (StreamItem.PulseqDefinitions, PulseqDefinitionsSerializer()), (StreamItem.Blocks, _binary.VectorSerializer(BlockSerializer())), (StreamItem.Rf, RFEventSerializer()), (StreamItem.ArbitraryGradient, ArbitraryGradientSerializer()), (StreamItem.TrapezoidalGradient, TrapezoidalGradientSerializer()), (StreamItem.Adc, ADCEventSerializer()), (StreamItem.Shape, ShapeSerializer())])).read(self._stream)
 
 class BinaryMrdNoiseCovarianceWriter(_binary.BinaryProtocolWriter, MrdNoiseCovarianceWriterBase):
     """Binary writer for the MrdNoiseCovariance protocol.
@@ -137,6 +137,24 @@ def read(self, stream: _binary.CodedInputStream) -> Acquisition:
         return Acquisition(head=field_values[0], data=field_values[1], trajectory=field_values[2])
 
 
+class AcquisitionPrototypeSerializer(_binary.RecordSerializer[AcquisitionPrototype]):
+    def __init__(self) -> None:
+        super().__init__([("head", AcquisitionHeaderSerializer()), ("data_sample_counts", _binary.NDArraySerializer(_binary.uint32_serializer, 1))])
+
+    def write(self, stream: _binary.CodedOutputStream, value: AcquisitionPrototype) -> None:
+        if isinstance(value, np.void):
+            self.write_numpy(stream, value)
+            return
+        self._write(stream, value.head, value.data_sample_counts)
+
+    def write_numpy(self, stream: _binary.CodedOutputStream, value: np.void) -> None:
+        self._write(stream, value['head'], value['data_sample_counts'])
+
+    def read(self, stream: _binary.CodedInputStream) -> AcquisitionPrototype:
+        field_values = self._read(stream)
+        return AcquisitionPrototype(head=field_values[0], data_sample_counts=field_values[1])
+
+
 class SubjectInformationTypeSerializer(_binary.RecordSerializer[SubjectInformationType]):
     def __init__(self) -> None:
         super().__init__([("patient_name", _binary.OptionalSerializer(_binary.string_serializer)), ("patient_weight_kg", _binary.OptionalSerializer(_binary.float32_serializer)), ("patient_height_m", _binary.OptionalSerializer(_binary.float32_serializer)), ("patient_id", _binary.OptionalSerializer(_binary.string_serializer)), ("patient_birthdate", _binary.OptionalSerializer(_binary.date_serializer)), ("patient_gender", _binary.OptionalSerializer(_binary.EnumSerializer(_binary.int32_serializer, PatientGender)))])
@@ -875,3 +893,129 @@ def read(self, stream: _binary.CodedInputStream) -> ImageArray:
         return ImageArray(data=field_values[0], headers=field_values[1], meta=field_values[2], waveforms=field_values[3])
 
 
+class PulseqDefinitionsSerializer(_binary.RecordSerializer[PulseqDefinitions]):
+    def __init__(self) -> None:
+        super().__init__([("gradient_raster_time", _binary.float64_serializer), ("radiofrequency_raster_time", _binary.float64_serializer), ("adc_raster_time", _binary.float64_serializer), ("block_duration_raster", _binary.float64_serializer), ("name", _binary.OptionalSerializer(_binary.string_serializer)), ("fov", _binary.OptionalSerializer(ThreeDimensionalFloatSerializer())), ("total_duration", _binary.OptionalSerializer(_binary.float64_serializer)), ("custom", _binary.MapSerializer(_binary.string_serializer, _binary.string_serializer))])
+
+    def write(self, stream: _binary.CodedOutputStream, value: PulseqDefinitions) -> None:
+        if isinstance(value, np.void):
+            self.write_numpy(stream, value)
+            return
+        self._write(stream, value.gradient_raster_time, value.radiofrequency_raster_time, value.adc_raster_time, value.block_duration_raster, value.name, value.fov, value.total_duration, value.custom)
+
+    def write_numpy(self, stream: _binary.CodedOutputStream, value: np.void) -> None:
+        self._write(stream, value['gradient_raster_time'], value['radiofrequency_raster_time'], value['adc_raster_time'], value['block_duration_raster'], value['name'], value['fov'], value['total_duration'], value['custom'])
+
+    def read(self, stream: _binary.CodedInputStream) -> PulseqDefinitions:
+        field_values = self._read(stream)
+        return PulseqDefinitions(gradient_raster_time=field_values[0], radiofrequency_raster_time=field_values[1], adc_raster_time=field_values[2], block_duration_raster=field_values[3], name=field_values[4], fov=field_values[5], total_duration=field_values[6], custom=field_values[7])
+
+
+class BlockSerializer(_binary.RecordSerializer[Block]):
+    def __init__(self) -> None:
+        super().__init__([("id", _binary.int32_serializer), ("duration", _binary.uint64_serializer), ("rf", _binary.int32_serializer), ("gx", _binary.int32_serializer), ("gy", _binary.int32_serializer), ("gz", _binary.int32_serializer), ("adc", _binary.int32_serializer), ("ext", _binary.int32_serializer)])
+
+    def write(self, stream: _binary.CodedOutputStream, value: Block) -> None:
+        if isinstance(value, np.void):
+            self.write_numpy(stream, value)
+            return
+        self._write(stream, value.id, value.duration, value.rf, value.gx, value.gy, value.gz, value.adc, value.ext)
+
+    def write_numpy(self, stream: _binary.CodedOutputStream, value: np.void) -> None:
+        self._write(stream, value['id'], value['duration'], value['rf'], value['gx'], value['gy'], value['gz'], value['adc'], value['ext'])
+
+    def read(self, stream: _binary.CodedInputStream) -> Block:
+        field_values = self._read(stream)
+        return Block(id=field_values[0], duration=field_values[1], rf=field_values[2], gx=field_values[3], gy=field_values[4], gz=field_values[5], adc=field_values[6], ext=field_values[7])
+
+
+class RFEventSerializer(_binary.RecordSerializer[RFEvent]):
+    def __init__(self) -> None:
+        super().__init__([("id", _binary.int32_serializer), ("amp", _binary.float64_serializer), ("mag_id", _binary.int32_serializer), ("phase_id", _binary.int32_serializer), ("time_id", _binary.int32_serializer), ("center", _binary.float64_serializer), ("delay", _binary.uint64_serializer), ("freq_ppm", _binary.float64_serializer), ("phase_ppm", _binary.float64_serializer), ("freq_offset", _binary.float64_serializer), ("phase_offset", _binary.float64_serializer), ("use", _binary.EnumSerializer(_binary.int32_serializer, RFPulseUse))])
+
+    def write(self, stream: _binary.CodedOutputStream, value: RFEvent) -> None:
+        if isinstance(value, np.void):
+            self.write_numpy(stream, value)
+            return
+        self._write(stream, value.id, value.amp, value.mag_id, value.phase_id, value.time_id, value.center, value.delay, value.freq_ppm, value.phase_ppm, value.freq_offset, value.phase_offset, value.use)
+
+    def write_numpy(self, stream: _binary.CodedOutputStream, value: np.void) -> None:
+        self._write(stream, value['id'], value['amp'], value['mag_id'], value['phase_id'], value['time_id'], value['center'], value['delay'], value['freq_ppm'], value['phase_ppm'], value['freq_offset'], value['phase_offset'], value['use'])
+
+    def read(self, stream: _binary.CodedInputStream) -> RFEvent:
+        field_values = self._read(stream)
+        return RFEvent(id=field_values[0], amp=field_values[1], mag_id=field_values[2], phase_id=field_values[3], time_id=field_values[4], center=field_values[5], delay=field_values[6], freq_ppm=field_values[7], phase_ppm=field_values[8], freq_offset=field_values[9], phase_offset=field_values[10], use=field_values[11])
+
+
+class ArbitraryGradientSerializer(_binary.RecordSerializer[ArbitraryGradient]):
+    def __init__(self) -> None:
+        super().__init__([("id", _binary.int32_serializer), ("amp", _binary.float64_serializer), ("first", _binary.float64_serializer), ("last", _binary.float64_serializer), ("shape_id", _binary.int32_serializer), ("time_id", _binary.int32_serializer), ("delay", _binary.uint64_serializer)])
+
+    def write(self, stream: _binary.CodedOutputStream, value: ArbitraryGradient) -> None:
+        if isinstance(value, np.void):
+            self.write_numpy(stream, value)
+            return
+        self._write(stream, value.id, value.amp, value.first, value.last, value.shape_id, value.time_id, value.delay)
+
+    def write_numpy(self, stream: _binary.CodedOutputStream, value: np.void) -> None:
+        self._write(stream, value['id'], value['amp'], value['first'], value['last'], value['shape_id'], value['time_id'], value['delay'])
+
+    def read(self, stream: _binary.CodedInputStream) -> ArbitraryGradient:
+        field_values = self._read(stream)
+        return ArbitraryGradient(id=field_values[0], amp=field_values[1], first=field_values[2], last=field_values[3], shape_id=field_values[4], time_id=field_values[5], delay=field_values[6])
+
+
+class TrapezoidalGradientSerializer(_binary.RecordSerializer[TrapezoidalGradient]):
+    def __init__(self) -> None:
+        super().__init__([("id", _binary.int32_serializer), ("amp", _binary.float64_serializer), ("rise", _binary.uint64_serializer), ("flat", _binary.uint64_serializer), ("fall", _binary.uint64_serializer), ("delay", _binary.uint64_serializer)])
+
+    def write(self, stream: _binary.CodedOutputStream, value: TrapezoidalGradient) -> None:
+        if isinstance(value, np.void):
+            self.write_numpy(stream, value)
+            return
+        self._write(stream, value.id, value.amp, value.rise, value.flat, value.fall, value.delay)
+
+    def write_numpy(self, stream: _binary.CodedOutputStream, value: np.void) -> None:
+        self._write(stream, value['id'], value['amp'], value['rise'], value['flat'], value['fall'], value['delay'])
+
+    def read(self, stream: _binary.CodedInputStream) -> TrapezoidalGradient:
+        field_values = self._read(stream)
+        return TrapezoidalGradient(id=field_values[0], amp=field_values[1], rise=field_values[2], flat=field_values[3], fall=field_values[4], delay=field_values[5])
+
+
+class ADCEventSerializer(_binary.RecordSerializer[ADCEvent]):
+    def __init__(self) -> None:
+        super().__init__([("id", _binary.int32_serializer), ("num", _binary.uint64_serializer), ("dwell", _binary.float32_serializer), ("delay", _binary.uint64_serializer), ("freq_ppm", _binary.float64_serializer), ("phase_ppm", _binary.float64_serializer), ("freq", _binary.float64_serializer), ("phase", _binary.float64_serializer), ("phase_shape_id", _binary.int32_serializer)])
+
+    def write(self, stream: _binary.CodedOutputStream, value: ADCEvent) -> None:
+        if isinstance(value, np.void):
+            self.write_numpy(stream, value)
+            return
+        self._write(stream, value.id, value.num, value.dwell, value.delay, value.freq_ppm, value.phase_ppm, value.freq, value.phase, value.phase_shape_id)
+
+    def write_numpy(self, stream: _binary.CodedOutputStream, value: np.void) -> None:
+        self._write(stream, value['id'], value['num'], value['dwell'], value['delay'], value['freq_ppm'], value['phase_ppm'], value['freq'], value['phase'], value['phase_shape_id'])
+
+    def read(self, stream: _binary.CodedInputStream) -> ADCEvent:
+        field_values = self._read(stream)
+        return ADCEvent(id=field_values[0], num=field_values[1], dwell=field_values[2], delay=field_values[3], freq_ppm=field_values[4], phase_ppm=field_values[5], freq=field_values[6], phase=field_values[7], phase_shape_id=field_values[8])
+
+
+class ShapeSerializer(_binary.RecordSerializer[Shape]):
+    def __init__(self) -> None:
+        super().__init__([("id", _binary.int32_serializer), ("num_samples", _binary.uint64_serializer), ("data", _binary.NDArraySerializer(_binary.float64_serializer, 1))])
+
+    def write(self, stream: _binary.CodedOutputStream, value: Shape) -> None:
+        if isinstance(value, np.void):
+            self.write_numpy(stream, value)
+            return
+        self._write(stream, value.id, value.num_samples, value.data)
+
+    def write_numpy(self, stream: _binary.CodedOutputStream, value: np.void) -> None:
+        self._write(stream, value['id'], value['num_samples'], value['data'])
+
+    def read(self, stream: _binary.CodedInputStream) -> Shape:
+        field_values = self._read(stream)
+        return Shape(id=field_values[0], num_samples=field_values[1], data=field_values[2])
+
+
diff --git a/python/mrd/ndjson.py b/python/mrd/ndjson.py
index 88926aa7..33f412f6 100644
--- a/python/mrd/ndjson.py
+++ b/python/mrd/ndjson.py
@@ -374,6 +374,50 @@ def from_json_to_numpy(self, json_object: object) -> np.void:
         ) # type:ignore 
 
 
+class AcquisitionPrototypeConverter(_ndjson.JsonConverter[AcquisitionPrototype, np.void]):
+    def __init__(self) -> None:
+        self._head_converter = AcquisitionHeaderConverter()
+        self._data_sample_counts_converter = _ndjson.NDArrayConverter(_ndjson.uint32_converter, 1)
+        super().__init__(np.dtype([
+            ("head", self._head_converter.overall_dtype()),
+            ("data_sample_counts", self._data_sample_counts_converter.overall_dtype()),
+        ]))
+
+    def to_json(self, value: AcquisitionPrototype) -> object:
+        if not isinstance(value, AcquisitionPrototype): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'AcquisitionPrototype' instance")
+        json_object = {}
+
+        json_object["head"] = self._head_converter.to_json(value.head)
+        json_object["dataSampleCounts"] = self._data_sample_counts_converter.to_json(value.data_sample_counts)
+        return json_object
+
+    def numpy_to_json(self, value: np.void) -> object:
+        if not isinstance(value, np.void): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'np.void' instance")
+        json_object = {}
+
+        json_object["head"] = self._head_converter.numpy_to_json(value["head"])
+        json_object["dataSampleCounts"] = self._data_sample_counts_converter.numpy_to_json(value["data_sample_counts"])
+        return json_object
+
+    def from_json(self, json_object: object) -> AcquisitionPrototype:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return AcquisitionPrototype(
+            head=self._head_converter.from_json(json_object["head"],),
+            data_sample_counts=self._data_sample_counts_converter.from_json(json_object["dataSampleCounts"],),
+        )
+
+    def from_json_to_numpy(self, json_object: object) -> np.void:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return (
+            self._head_converter.from_json_to_numpy(json_object["head"]),
+            self._data_sample_counts_converter.from_json_to_numpy(json_object["dataSampleCounts"]),
+        ) # type:ignore 
+
+
 patient_gender_name_to_value_map = {
     "m": PatientGender.M,
     "f": PatientGender.F,
@@ -3149,6 +3193,565 @@ def from_json_to_numpy(self, json_object: object) -> np.void:
         ) # type:ignore 
 
 
+class PulseqDefinitionsConverter(_ndjson.JsonConverter[PulseqDefinitions, np.void]):
+    def __init__(self) -> None:
+        self._gradient_raster_time_converter = _ndjson.float64_converter
+        self._radiofrequency_raster_time_converter = _ndjson.float64_converter
+        self._adc_raster_time_converter = _ndjson.float64_converter
+        self._block_duration_raster_converter = _ndjson.float64_converter
+        self._name_converter = _ndjson.OptionalConverter(_ndjson.string_converter)
+        self._fov_converter = _ndjson.OptionalConverter(ThreeDimensionalFloatConverter())
+        self._total_duration_converter = _ndjson.OptionalConverter(_ndjson.float64_converter)
+        self._custom_converter = _ndjson.MapConverter(_ndjson.string_converter, _ndjson.string_converter)
+        super().__init__(np.dtype([
+            ("gradient_raster_time", self._gradient_raster_time_converter.overall_dtype()),
+            ("radiofrequency_raster_time", self._radiofrequency_raster_time_converter.overall_dtype()),
+            ("adc_raster_time", self._adc_raster_time_converter.overall_dtype()),
+            ("block_duration_raster", self._block_duration_raster_converter.overall_dtype()),
+            ("name", self._name_converter.overall_dtype()),
+            ("fov", self._fov_converter.overall_dtype()),
+            ("total_duration", self._total_duration_converter.overall_dtype()),
+            ("custom", self._custom_converter.overall_dtype()),
+        ]))
+
+    def to_json(self, value: PulseqDefinitions) -> object:
+        if not isinstance(value, PulseqDefinitions): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'PulseqDefinitions' instance")
+        json_object = {}
+
+        json_object["gradientRasterTime"] = self._gradient_raster_time_converter.to_json(value.gradient_raster_time)
+        json_object["radiofrequencyRasterTime"] = self._radiofrequency_raster_time_converter.to_json(value.radiofrequency_raster_time)
+        json_object["adcRasterTime"] = self._adc_raster_time_converter.to_json(value.adc_raster_time)
+        json_object["blockDurationRaster"] = self._block_duration_raster_converter.to_json(value.block_duration_raster)
+        if value.name is not None:
+            json_object["name"] = self._name_converter.to_json(value.name)
+        if value.fov is not None:
+            json_object["fov"] = self._fov_converter.to_json(value.fov)
+        if value.total_duration is not None:
+            json_object["totalDuration"] = self._total_duration_converter.to_json(value.total_duration)
+        json_object["custom"] = self._custom_converter.to_json(value.custom)
+        return json_object
+
+    def numpy_to_json(self, value: np.void) -> object:
+        if not isinstance(value, np.void): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'np.void' instance")
+        json_object = {}
+
+        json_object["gradientRasterTime"] = self._gradient_raster_time_converter.numpy_to_json(value["gradient_raster_time"])
+        json_object["radiofrequencyRasterTime"] = self._radiofrequency_raster_time_converter.numpy_to_json(value["radiofrequency_raster_time"])
+        json_object["adcRasterTime"] = self._adc_raster_time_converter.numpy_to_json(value["adc_raster_time"])
+        json_object["blockDurationRaster"] = self._block_duration_raster_converter.numpy_to_json(value["block_duration_raster"])
+        if (field_val := value["name"]) is not None:
+            json_object["name"] = self._name_converter.numpy_to_json(field_val)
+        if (field_val := value["fov"]) is not None:
+            json_object["fov"] = self._fov_converter.numpy_to_json(field_val)
+        if (field_val := value["total_duration"]) is not None:
+            json_object["totalDuration"] = self._total_duration_converter.numpy_to_json(field_val)
+        json_object["custom"] = self._custom_converter.numpy_to_json(value["custom"])
+        return json_object
+
+    def from_json(self, json_object: object) -> PulseqDefinitions:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return PulseqDefinitions(
+            gradient_raster_time=self._gradient_raster_time_converter.from_json(json_object["gradientRasterTime"],),
+            radiofrequency_raster_time=self._radiofrequency_raster_time_converter.from_json(json_object["radiofrequencyRasterTime"],),
+            adc_raster_time=self._adc_raster_time_converter.from_json(json_object["adcRasterTime"],),
+            block_duration_raster=self._block_duration_raster_converter.from_json(json_object["blockDurationRaster"],),
+            name=self._name_converter.from_json(json_object.get("name")),
+            fov=self._fov_converter.from_json(json_object.get("fov")),
+            total_duration=self._total_duration_converter.from_json(json_object.get("totalDuration")),
+            custom=self._custom_converter.from_json(json_object["custom"],),
+        )
+
+    def from_json_to_numpy(self, json_object: object) -> np.void:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return (
+            self._gradient_raster_time_converter.from_json_to_numpy(json_object["gradientRasterTime"]),
+            self._radiofrequency_raster_time_converter.from_json_to_numpy(json_object["radiofrequencyRasterTime"]),
+            self._adc_raster_time_converter.from_json_to_numpy(json_object["adcRasterTime"]),
+            self._block_duration_raster_converter.from_json_to_numpy(json_object["blockDurationRaster"]),
+            self._name_converter.from_json_to_numpy(json_object.get("name")),
+            self._fov_converter.from_json_to_numpy(json_object.get("fov")),
+            self._total_duration_converter.from_json_to_numpy(json_object.get("totalDuration")),
+            self._custom_converter.from_json_to_numpy(json_object["custom"]),
+        ) # type:ignore 
+
+
+class BlockConverter(_ndjson.JsonConverter[Block, np.void]):
+    def __init__(self) -> None:
+        self._id_converter = _ndjson.int32_converter
+        self._duration_converter = _ndjson.uint64_converter
+        self._rf_converter = _ndjson.int32_converter
+        self._gx_converter = _ndjson.int32_converter
+        self._gy_converter = _ndjson.int32_converter
+        self._gz_converter = _ndjson.int32_converter
+        self._adc_converter = _ndjson.int32_converter
+        self._ext_converter = _ndjson.int32_converter
+        super().__init__(np.dtype([
+            ("id", self._id_converter.overall_dtype()),
+            ("duration", self._duration_converter.overall_dtype()),
+            ("rf", self._rf_converter.overall_dtype()),
+            ("gx", self._gx_converter.overall_dtype()),
+            ("gy", self._gy_converter.overall_dtype()),
+            ("gz", self._gz_converter.overall_dtype()),
+            ("adc", self._adc_converter.overall_dtype()),
+            ("ext", self._ext_converter.overall_dtype()),
+        ]))
+
+    def to_json(self, value: Block) -> object:
+        if not isinstance(value, Block): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'Block' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.to_json(value.id)
+        json_object["duration"] = self._duration_converter.to_json(value.duration)
+        json_object["rf"] = self._rf_converter.to_json(value.rf)
+        json_object["gx"] = self._gx_converter.to_json(value.gx)
+        json_object["gy"] = self._gy_converter.to_json(value.gy)
+        json_object["gz"] = self._gz_converter.to_json(value.gz)
+        json_object["adc"] = self._adc_converter.to_json(value.adc)
+        json_object["ext"] = self._ext_converter.to_json(value.ext)
+        return json_object
+
+    def numpy_to_json(self, value: np.void) -> object:
+        if not isinstance(value, np.void): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'np.void' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.numpy_to_json(value["id"])
+        json_object["duration"] = self._duration_converter.numpy_to_json(value["duration"])
+        json_object["rf"] = self._rf_converter.numpy_to_json(value["rf"])
+        json_object["gx"] = self._gx_converter.numpy_to_json(value["gx"])
+        json_object["gy"] = self._gy_converter.numpy_to_json(value["gy"])
+        json_object["gz"] = self._gz_converter.numpy_to_json(value["gz"])
+        json_object["adc"] = self._adc_converter.numpy_to_json(value["adc"])
+        json_object["ext"] = self._ext_converter.numpy_to_json(value["ext"])
+        return json_object
+
+    def from_json(self, json_object: object) -> Block:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return Block(
+            id=self._id_converter.from_json(json_object["id"],),
+            duration=self._duration_converter.from_json(json_object["duration"],),
+            rf=self._rf_converter.from_json(json_object["rf"],),
+            gx=self._gx_converter.from_json(json_object["gx"],),
+            gy=self._gy_converter.from_json(json_object["gy"],),
+            gz=self._gz_converter.from_json(json_object["gz"],),
+            adc=self._adc_converter.from_json(json_object["adc"],),
+            ext=self._ext_converter.from_json(json_object["ext"],),
+        )
+
+    def from_json_to_numpy(self, json_object: object) -> np.void:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return (
+            self._id_converter.from_json_to_numpy(json_object["id"]),
+            self._duration_converter.from_json_to_numpy(json_object["duration"]),
+            self._rf_converter.from_json_to_numpy(json_object["rf"]),
+            self._gx_converter.from_json_to_numpy(json_object["gx"]),
+            self._gy_converter.from_json_to_numpy(json_object["gy"]),
+            self._gz_converter.from_json_to_numpy(json_object["gz"]),
+            self._adc_converter.from_json_to_numpy(json_object["adc"]),
+            self._ext_converter.from_json_to_numpy(json_object["ext"]),
+        ) # type:ignore 
+
+
+rf_pulse_use_name_to_value_map = {
+    "undefined": RFPulseUse.UNDEFINED,
+    "excitation": RFPulseUse.EXCITATION,
+    "refocusing": RFPulseUse.REFOCUSING,
+    "inversion": RFPulseUse.INVERSION,
+    "saturation": RFPulseUse.SATURATION,
+    "preparation": RFPulseUse.PREPARATION,
+    "other": RFPulseUse.OTHER,
+}
+rf_pulse_use_value_to_name_map = {v: n for n, v in rf_pulse_use_name_to_value_map.items()}
+
+class RFEventConverter(_ndjson.JsonConverter[RFEvent, np.void]):
+    def __init__(self) -> None:
+        self._id_converter = _ndjson.int32_converter
+        self._amp_converter = _ndjson.float64_converter
+        self._mag_id_converter = _ndjson.int32_converter
+        self._phase_id_converter = _ndjson.int32_converter
+        self._time_id_converter = _ndjson.int32_converter
+        self._center_converter = _ndjson.float64_converter
+        self._delay_converter = _ndjson.uint64_converter
+        self._freq_ppm_converter = _ndjson.float64_converter
+        self._phase_ppm_converter = _ndjson.float64_converter
+        self._freq_offset_converter = _ndjson.float64_converter
+        self._phase_offset_converter = _ndjson.float64_converter
+        self._use_converter = _ndjson.EnumConverter(RFPulseUse, np.int32, rf_pulse_use_name_to_value_map, rf_pulse_use_value_to_name_map)
+        super().__init__(np.dtype([
+            ("id", self._id_converter.overall_dtype()),
+            ("amp", self._amp_converter.overall_dtype()),
+            ("mag_id", self._mag_id_converter.overall_dtype()),
+            ("phase_id", self._phase_id_converter.overall_dtype()),
+            ("time_id", self._time_id_converter.overall_dtype()),
+            ("center", self._center_converter.overall_dtype()),
+            ("delay", self._delay_converter.overall_dtype()),
+            ("freq_ppm", self._freq_ppm_converter.overall_dtype()),
+            ("phase_ppm", self._phase_ppm_converter.overall_dtype()),
+            ("freq_offset", self._freq_offset_converter.overall_dtype()),
+            ("phase_offset", self._phase_offset_converter.overall_dtype()),
+            ("use", self._use_converter.overall_dtype()),
+        ]))
+
+    def to_json(self, value: RFEvent) -> object:
+        if not isinstance(value, RFEvent): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'RFEvent' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.to_json(value.id)
+        json_object["amp"] = self._amp_converter.to_json(value.amp)
+        json_object["magId"] = self._mag_id_converter.to_json(value.mag_id)
+        json_object["phaseId"] = self._phase_id_converter.to_json(value.phase_id)
+        json_object["timeId"] = self._time_id_converter.to_json(value.time_id)
+        json_object["center"] = self._center_converter.to_json(value.center)
+        json_object["delay"] = self._delay_converter.to_json(value.delay)
+        json_object["freqPPM"] = self._freq_ppm_converter.to_json(value.freq_ppm)
+        json_object["phasePPM"] = self._phase_ppm_converter.to_json(value.phase_ppm)
+        json_object["freqOffset"] = self._freq_offset_converter.to_json(value.freq_offset)
+        json_object["phaseOffset"] = self._phase_offset_converter.to_json(value.phase_offset)
+        json_object["use"] = self._use_converter.to_json(value.use)
+        return json_object
+
+    def numpy_to_json(self, value: np.void) -> object:
+        if not isinstance(value, np.void): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'np.void' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.numpy_to_json(value["id"])
+        json_object["amp"] = self._amp_converter.numpy_to_json(value["amp"])
+        json_object["magId"] = self._mag_id_converter.numpy_to_json(value["mag_id"])
+        json_object["phaseId"] = self._phase_id_converter.numpy_to_json(value["phase_id"])
+        json_object["timeId"] = self._time_id_converter.numpy_to_json(value["time_id"])
+        json_object["center"] = self._center_converter.numpy_to_json(value["center"])
+        json_object["delay"] = self._delay_converter.numpy_to_json(value["delay"])
+        json_object["freqPPM"] = self._freq_ppm_converter.numpy_to_json(value["freq_ppm"])
+        json_object["phasePPM"] = self._phase_ppm_converter.numpy_to_json(value["phase_ppm"])
+        json_object["freqOffset"] = self._freq_offset_converter.numpy_to_json(value["freq_offset"])
+        json_object["phaseOffset"] = self._phase_offset_converter.numpy_to_json(value["phase_offset"])
+        json_object["use"] = self._use_converter.numpy_to_json(value["use"])
+        return json_object
+
+    def from_json(self, json_object: object) -> RFEvent:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return RFEvent(
+            id=self._id_converter.from_json(json_object["id"],),
+            amp=self._amp_converter.from_json(json_object["amp"],),
+            mag_id=self._mag_id_converter.from_json(json_object["magId"],),
+            phase_id=self._phase_id_converter.from_json(json_object["phaseId"],),
+            time_id=self._time_id_converter.from_json(json_object["timeId"],),
+            center=self._center_converter.from_json(json_object["center"],),
+            delay=self._delay_converter.from_json(json_object["delay"],),
+            freq_ppm=self._freq_ppm_converter.from_json(json_object["freqPPM"],),
+            phase_ppm=self._phase_ppm_converter.from_json(json_object["phasePPM"],),
+            freq_offset=self._freq_offset_converter.from_json(json_object["freqOffset"],),
+            phase_offset=self._phase_offset_converter.from_json(json_object["phaseOffset"],),
+            use=self._use_converter.from_json(json_object["use"],),
+        )
+
+    def from_json_to_numpy(self, json_object: object) -> np.void:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return (
+            self._id_converter.from_json_to_numpy(json_object["id"]),
+            self._amp_converter.from_json_to_numpy(json_object["amp"]),
+            self._mag_id_converter.from_json_to_numpy(json_object["magId"]),
+            self._phase_id_converter.from_json_to_numpy(json_object["phaseId"]),
+            self._time_id_converter.from_json_to_numpy(json_object["timeId"]),
+            self._center_converter.from_json_to_numpy(json_object["center"]),
+            self._delay_converter.from_json_to_numpy(json_object["delay"]),
+            self._freq_ppm_converter.from_json_to_numpy(json_object["freqPPM"]),
+            self._phase_ppm_converter.from_json_to_numpy(json_object["phasePPM"]),
+            self._freq_offset_converter.from_json_to_numpy(json_object["freqOffset"]),
+            self._phase_offset_converter.from_json_to_numpy(json_object["phaseOffset"]),
+            self._use_converter.from_json_to_numpy(json_object["use"]),
+        ) # type:ignore 
+
+
+class ArbitraryGradientConverter(_ndjson.JsonConverter[ArbitraryGradient, np.void]):
+    def __init__(self) -> None:
+        self._id_converter = _ndjson.int32_converter
+        self._amp_converter = _ndjson.float64_converter
+        self._first_converter = _ndjson.float64_converter
+        self._last_converter = _ndjson.float64_converter
+        self._shape_id_converter = _ndjson.int32_converter
+        self._time_id_converter = _ndjson.int32_converter
+        self._delay_converter = _ndjson.uint64_converter
+        super().__init__(np.dtype([
+            ("id", self._id_converter.overall_dtype()),
+            ("amp", self._amp_converter.overall_dtype()),
+            ("first", self._first_converter.overall_dtype()),
+            ("last", self._last_converter.overall_dtype()),
+            ("shape_id", self._shape_id_converter.overall_dtype()),
+            ("time_id", self._time_id_converter.overall_dtype()),
+            ("delay", self._delay_converter.overall_dtype()),
+        ]))
+
+    def to_json(self, value: ArbitraryGradient) -> object:
+        if not isinstance(value, ArbitraryGradient): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'ArbitraryGradient' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.to_json(value.id)
+        json_object["amp"] = self._amp_converter.to_json(value.amp)
+        json_object["first"] = self._first_converter.to_json(value.first)
+        json_object["last"] = self._last_converter.to_json(value.last)
+        json_object["shapeId"] = self._shape_id_converter.to_json(value.shape_id)
+        json_object["timeId"] = self._time_id_converter.to_json(value.time_id)
+        json_object["delay"] = self._delay_converter.to_json(value.delay)
+        return json_object
+
+    def numpy_to_json(self, value: np.void) -> object:
+        if not isinstance(value, np.void): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'np.void' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.numpy_to_json(value["id"])
+        json_object["amp"] = self._amp_converter.numpy_to_json(value["amp"])
+        json_object["first"] = self._first_converter.numpy_to_json(value["first"])
+        json_object["last"] = self._last_converter.numpy_to_json(value["last"])
+        json_object["shapeId"] = self._shape_id_converter.numpy_to_json(value["shape_id"])
+        json_object["timeId"] = self._time_id_converter.numpy_to_json(value["time_id"])
+        json_object["delay"] = self._delay_converter.numpy_to_json(value["delay"])
+        return json_object
+
+    def from_json(self, json_object: object) -> ArbitraryGradient:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return ArbitraryGradient(
+            id=self._id_converter.from_json(json_object["id"],),
+            amp=self._amp_converter.from_json(json_object["amp"],),
+            first=self._first_converter.from_json(json_object["first"],),
+            last=self._last_converter.from_json(json_object["last"],),
+            shape_id=self._shape_id_converter.from_json(json_object["shapeId"],),
+            time_id=self._time_id_converter.from_json(json_object["timeId"],),
+            delay=self._delay_converter.from_json(json_object["delay"],),
+        )
+
+    def from_json_to_numpy(self, json_object: object) -> np.void:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return (
+            self._id_converter.from_json_to_numpy(json_object["id"]),
+            self._amp_converter.from_json_to_numpy(json_object["amp"]),
+            self._first_converter.from_json_to_numpy(json_object["first"]),
+            self._last_converter.from_json_to_numpy(json_object["last"]),
+            self._shape_id_converter.from_json_to_numpy(json_object["shapeId"]),
+            self._time_id_converter.from_json_to_numpy(json_object["timeId"]),
+            self._delay_converter.from_json_to_numpy(json_object["delay"]),
+        ) # type:ignore 
+
+
+class TrapezoidalGradientConverter(_ndjson.JsonConverter[TrapezoidalGradient, np.void]):
+    def __init__(self) -> None:
+        self._id_converter = _ndjson.int32_converter
+        self._amp_converter = _ndjson.float64_converter
+        self._rise_converter = _ndjson.uint64_converter
+        self._flat_converter = _ndjson.uint64_converter
+        self._fall_converter = _ndjson.uint64_converter
+        self._delay_converter = _ndjson.uint64_converter
+        super().__init__(np.dtype([
+            ("id", self._id_converter.overall_dtype()),
+            ("amp", self._amp_converter.overall_dtype()),
+            ("rise", self._rise_converter.overall_dtype()),
+            ("flat", self._flat_converter.overall_dtype()),
+            ("fall", self._fall_converter.overall_dtype()),
+            ("delay", self._delay_converter.overall_dtype()),
+        ]))
+
+    def to_json(self, value: TrapezoidalGradient) -> object:
+        if not isinstance(value, TrapezoidalGradient): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'TrapezoidalGradient' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.to_json(value.id)
+        json_object["amp"] = self._amp_converter.to_json(value.amp)
+        json_object["rise"] = self._rise_converter.to_json(value.rise)
+        json_object["flat"] = self._flat_converter.to_json(value.flat)
+        json_object["fall"] = self._fall_converter.to_json(value.fall)
+        json_object["delay"] = self._delay_converter.to_json(value.delay)
+        return json_object
+
+    def numpy_to_json(self, value: np.void) -> object:
+        if not isinstance(value, np.void): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'np.void' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.numpy_to_json(value["id"])
+        json_object["amp"] = self._amp_converter.numpy_to_json(value["amp"])
+        json_object["rise"] = self._rise_converter.numpy_to_json(value["rise"])
+        json_object["flat"] = self._flat_converter.numpy_to_json(value["flat"])
+        json_object["fall"] = self._fall_converter.numpy_to_json(value["fall"])
+        json_object["delay"] = self._delay_converter.numpy_to_json(value["delay"])
+        return json_object
+
+    def from_json(self, json_object: object) -> TrapezoidalGradient:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return TrapezoidalGradient(
+            id=self._id_converter.from_json(json_object["id"],),
+            amp=self._amp_converter.from_json(json_object["amp"],),
+            rise=self._rise_converter.from_json(json_object["rise"],),
+            flat=self._flat_converter.from_json(json_object["flat"],),
+            fall=self._fall_converter.from_json(json_object["fall"],),
+            delay=self._delay_converter.from_json(json_object["delay"],),
+        )
+
+    def from_json_to_numpy(self, json_object: object) -> np.void:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return (
+            self._id_converter.from_json_to_numpy(json_object["id"]),
+            self._amp_converter.from_json_to_numpy(json_object["amp"]),
+            self._rise_converter.from_json_to_numpy(json_object["rise"]),
+            self._flat_converter.from_json_to_numpy(json_object["flat"]),
+            self._fall_converter.from_json_to_numpy(json_object["fall"]),
+            self._delay_converter.from_json_to_numpy(json_object["delay"]),
+        ) # type:ignore 
+
+
+class ADCEventConverter(_ndjson.JsonConverter[ADCEvent, np.void]):
+    def __init__(self) -> None:
+        self._id_converter = _ndjson.int32_converter
+        self._num_converter = _ndjson.uint64_converter
+        self._dwell_converter = _ndjson.float32_converter
+        self._delay_converter = _ndjson.uint64_converter
+        self._freq_ppm_converter = _ndjson.float64_converter
+        self._phase_ppm_converter = _ndjson.float64_converter
+        self._freq_converter = _ndjson.float64_converter
+        self._phase_converter = _ndjson.float64_converter
+        self._phase_shape_id_converter = _ndjson.int32_converter
+        super().__init__(np.dtype([
+            ("id", self._id_converter.overall_dtype()),
+            ("num", self._num_converter.overall_dtype()),
+            ("dwell", self._dwell_converter.overall_dtype()),
+            ("delay", self._delay_converter.overall_dtype()),
+            ("freq_ppm", self._freq_ppm_converter.overall_dtype()),
+            ("phase_ppm", self._phase_ppm_converter.overall_dtype()),
+            ("freq", self._freq_converter.overall_dtype()),
+            ("phase", self._phase_converter.overall_dtype()),
+            ("phase_shape_id", self._phase_shape_id_converter.overall_dtype()),
+        ]))
+
+    def to_json(self, value: ADCEvent) -> object:
+        if not isinstance(value, ADCEvent): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'ADCEvent' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.to_json(value.id)
+        json_object["num"] = self._num_converter.to_json(value.num)
+        json_object["dwell"] = self._dwell_converter.to_json(value.dwell)
+        json_object["delay"] = self._delay_converter.to_json(value.delay)
+        json_object["freqPPM"] = self._freq_ppm_converter.to_json(value.freq_ppm)
+        json_object["phasePPM"] = self._phase_ppm_converter.to_json(value.phase_ppm)
+        json_object["freq"] = self._freq_converter.to_json(value.freq)
+        json_object["phase"] = self._phase_converter.to_json(value.phase)
+        json_object["phaseShapeId"] = self._phase_shape_id_converter.to_json(value.phase_shape_id)
+        return json_object
+
+    def numpy_to_json(self, value: np.void) -> object:
+        if not isinstance(value, np.void): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'np.void' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.numpy_to_json(value["id"])
+        json_object["num"] = self._num_converter.numpy_to_json(value["num"])
+        json_object["dwell"] = self._dwell_converter.numpy_to_json(value["dwell"])
+        json_object["delay"] = self._delay_converter.numpy_to_json(value["delay"])
+        json_object["freqPPM"] = self._freq_ppm_converter.numpy_to_json(value["freq_ppm"])
+        json_object["phasePPM"] = self._phase_ppm_converter.numpy_to_json(value["phase_ppm"])
+        json_object["freq"] = self._freq_converter.numpy_to_json(value["freq"])
+        json_object["phase"] = self._phase_converter.numpy_to_json(value["phase"])
+        json_object["phaseShapeId"] = self._phase_shape_id_converter.numpy_to_json(value["phase_shape_id"])
+        return json_object
+
+    def from_json(self, json_object: object) -> ADCEvent:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return ADCEvent(
+            id=self._id_converter.from_json(json_object["id"],),
+            num=self._num_converter.from_json(json_object["num"],),
+            dwell=self._dwell_converter.from_json(json_object["dwell"],),
+            delay=self._delay_converter.from_json(json_object["delay"],),
+            freq_ppm=self._freq_ppm_converter.from_json(json_object["freqPPM"],),
+            phase_ppm=self._phase_ppm_converter.from_json(json_object["phasePPM"],),
+            freq=self._freq_converter.from_json(json_object["freq"],),
+            phase=self._phase_converter.from_json(json_object["phase"],),
+            phase_shape_id=self._phase_shape_id_converter.from_json(json_object["phaseShapeId"],),
+        )
+
+    def from_json_to_numpy(self, json_object: object) -> np.void:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return (
+            self._id_converter.from_json_to_numpy(json_object["id"]),
+            self._num_converter.from_json_to_numpy(json_object["num"]),
+            self._dwell_converter.from_json_to_numpy(json_object["dwell"]),
+            self._delay_converter.from_json_to_numpy(json_object["delay"]),
+            self._freq_ppm_converter.from_json_to_numpy(json_object["freqPPM"]),
+            self._phase_ppm_converter.from_json_to_numpy(json_object["phasePPM"]),
+            self._freq_converter.from_json_to_numpy(json_object["freq"]),
+            self._phase_converter.from_json_to_numpy(json_object["phase"]),
+            self._phase_shape_id_converter.from_json_to_numpy(json_object["phaseShapeId"]),
+        ) # type:ignore 
+
+
+class ShapeConverter(_ndjson.JsonConverter[Shape, np.void]):
+    def __init__(self) -> None:
+        self._id_converter = _ndjson.int32_converter
+        self._num_samples_converter = _ndjson.uint64_converter
+        self._data_converter = _ndjson.NDArrayConverter(_ndjson.float64_converter, 1)
+        super().__init__(np.dtype([
+            ("id", self._id_converter.overall_dtype()),
+            ("num_samples", self._num_samples_converter.overall_dtype()),
+            ("data", self._data_converter.overall_dtype()),
+        ]))
+
+    def to_json(self, value: Shape) -> object:
+        if not isinstance(value, Shape): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'Shape' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.to_json(value.id)
+        json_object["numSamples"] = self._num_samples_converter.to_json(value.num_samples)
+        json_object["data"] = self._data_converter.to_json(value.data)
+        return json_object
+
+    def numpy_to_json(self, value: np.void) -> object:
+        if not isinstance(value, np.void): # pyright: ignore [reportUnnecessaryIsInstance]
+            raise TypeError("Expected 'np.void' instance")
+        json_object = {}
+
+        json_object["id"] = self._id_converter.numpy_to_json(value["id"])
+        json_object["numSamples"] = self._num_samples_converter.numpy_to_json(value["num_samples"])
+        json_object["data"] = self._data_converter.numpy_to_json(value["data"])
+        return json_object
+
+    def from_json(self, json_object: object) -> Shape:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return Shape(
+            id=self._id_converter.from_json(json_object["id"],),
+            num_samples=self._num_samples_converter.from_json(json_object["numSamples"],),
+            data=self._data_converter.from_json(json_object["data"],),
+        )
+
+    def from_json_to_numpy(self, json_object: object) -> np.void:
+        if not isinstance(json_object, dict):
+            raise TypeError("Expected 'dict' instance")
+        return (
+            self._id_converter.from_json_to_numpy(json_object["id"]),
+            self._num_samples_converter.from_json_to_numpy(json_object["numSamples"]),
+            self._data_converter.from_json_to_numpy(json_object["data"]),
+        ) # type:ignore 
+
+
 class NDJsonMrdWriter(_ndjson.NDJsonProtocolWriter, MrdWriterBase):
     """NDJson writer for the Mrd protocol.
 
@@ -3166,7 +3769,7 @@ def _write_header(self, value: typing.Optional[Header]) -> None:
         self._write_json_line({"header": json_value})
 
     def _write_data(self, value: collections.abc.Iterable[StreamItem]) -> None:
-        converter = _ndjson.UnionConverter(StreamItem, [(StreamItem.Acquisition, AcquisitionConverter(), [dict]), (StreamItem.WaveformUint32, WaveformConverter(_ndjson.uint32_converter), [dict]), (StreamItem.ImageUint16, ImageConverter(_ndjson.uint16_converter), [dict]), (StreamItem.ImageInt16, ImageConverter(_ndjson.int16_converter), [dict]), (StreamItem.ImageUint32, ImageConverter(_ndjson.uint32_converter), [dict]), (StreamItem.ImageInt32, ImageConverter(_ndjson.int32_converter), [dict]), (StreamItem.ImageFloat, ImageConverter(_ndjson.float32_converter), [dict]), (StreamItem.ImageDouble, ImageConverter(_ndjson.float64_converter), [dict]), (StreamItem.ImageComplexFloat, ImageConverter(_ndjson.complexfloat32_converter), [dict]), (StreamItem.ImageComplexDouble, ImageConverter(_ndjson.complexfloat64_converter), [dict]), (StreamItem.AcquisitionBucket, AcquisitionBucketConverter(), [dict]), (StreamItem.ReconData, ReconDataConverter(), [dict]), (StreamItem.ArrayComplexFloat, _ndjson.DynamicNDArrayConverter(_ndjson.complexfloat32_converter), [dict]), (StreamItem.ImageArray, ImageArrayConverter(), [dict])], False)
+        converter = _ndjson.UnionConverter(StreamItem, [(StreamItem.Acquisition, AcquisitionConverter(), [dict]), (StreamItem.AcquisitionPrototype, AcquisitionPrototypeConverter(), [dict]), (StreamItem.WaveformUint32, WaveformConverter(_ndjson.uint32_converter), [dict]), (StreamItem.ImageUint16, ImageConverter(_ndjson.uint16_converter), [dict]), (StreamItem.ImageInt16, ImageConverter(_ndjson.int16_converter), [dict]), (StreamItem.ImageUint32, ImageConverter(_ndjson.uint32_converter), [dict]), (StreamItem.ImageInt32, ImageConverter(_ndjson.int32_converter), [dict]), (StreamItem.ImageFloat, ImageConverter(_ndjson.float32_converter), [dict]), (StreamItem.ImageDouble, ImageConverter(_ndjson.float64_converter), [dict]), (StreamItem.ImageComplexFloat, ImageConverter(_ndjson.complexfloat32_converter), [dict]), (StreamItem.ImageComplexDouble, ImageConverter(_ndjson.complexfloat64_converter), [dict]), (StreamItem.AcquisitionBucket, AcquisitionBucketConverter(), [dict]), (StreamItem.ReconData, ReconDataConverter(), [dict]), (StreamItem.ArrayComplexFloat, _ndjson.DynamicNDArrayConverter(_ndjson.complexfloat32_converter), [dict]), (StreamItem.ImageArray, ImageArrayConverter(), [dict]), (StreamItem.PulseqDefinitions, PulseqDefinitionsConverter(), [dict]), (StreamItem.Blocks, _ndjson.VectorConverter(BlockConverter()), [list]), (StreamItem.Rf, RFEventConverter(), [dict]), (StreamItem.ArbitraryGradient, ArbitraryGradientConverter(), [dict]), (StreamItem.TrapezoidalGradient, TrapezoidalGradientConverter(), [dict]), (StreamItem.Adc, ADCEventConverter(), [dict]), (StreamItem.Shape, ShapeConverter(), [dict])], False)
         for item in value:
             json_item = converter.to_json(item)
             self._write_json_line({"data": json_item})
@@ -3189,7 +3792,7 @@ def _read_header(self) -> typing.Optional[Header]:
         return converter.from_json(json_object)
 
     def _read_data(self) -> collections.abc.Iterable[StreamItem]:
-        converter = _ndjson.UnionConverter(StreamItem, [(StreamItem.Acquisition, AcquisitionConverter(), [dict]), (StreamItem.WaveformUint32, WaveformConverter(_ndjson.uint32_converter), [dict]), (StreamItem.ImageUint16, ImageConverter(_ndjson.uint16_converter), [dict]), (StreamItem.ImageInt16, ImageConverter(_ndjson.int16_converter), [dict]), (StreamItem.ImageUint32, ImageConverter(_ndjson.uint32_converter), [dict]), (StreamItem.ImageInt32, ImageConverter(_ndjson.int32_converter), [dict]), (StreamItem.ImageFloat, ImageConverter(_ndjson.float32_converter), [dict]), (StreamItem.ImageDouble, ImageConverter(_ndjson.float64_converter), [dict]), (StreamItem.ImageComplexFloat, ImageConverter(_ndjson.complexfloat32_converter), [dict]), (StreamItem.ImageComplexDouble, ImageConverter(_ndjson.complexfloat64_converter), [dict]), (StreamItem.AcquisitionBucket, AcquisitionBucketConverter(), [dict]), (StreamItem.ReconData, ReconDataConverter(), [dict]), (StreamItem.ArrayComplexFloat, _ndjson.DynamicNDArrayConverter(_ndjson.complexfloat32_converter), [dict]), (StreamItem.ImageArray, ImageArrayConverter(), [dict])], False)
+        converter = _ndjson.UnionConverter(StreamItem, [(StreamItem.Acquisition, AcquisitionConverter(), [dict]), (StreamItem.AcquisitionPrototype, AcquisitionPrototypeConverter(), [dict]), (StreamItem.WaveformUint32, WaveformConverter(_ndjson.uint32_converter), [dict]), (StreamItem.ImageUint16, ImageConverter(_ndjson.uint16_converter), [dict]), (StreamItem.ImageInt16, ImageConverter(_ndjson.int16_converter), [dict]), (StreamItem.ImageUint32, ImageConverter(_ndjson.uint32_converter), [dict]), (StreamItem.ImageInt32, ImageConverter(_ndjson.int32_converter), [dict]), (StreamItem.ImageFloat, ImageConverter(_ndjson.float32_converter), [dict]), (StreamItem.ImageDouble, ImageConverter(_ndjson.float64_converter), [dict]), (StreamItem.ImageComplexFloat, ImageConverter(_ndjson.complexfloat32_converter), [dict]), (StreamItem.ImageComplexDouble, ImageConverter(_ndjson.complexfloat64_converter), [dict]), (StreamItem.AcquisitionBucket, AcquisitionBucketConverter(), [dict]), (StreamItem.ReconData, ReconDataConverter(), [dict]), (StreamItem.ArrayComplexFloat, _ndjson.DynamicNDArrayConverter(_ndjson.complexfloat32_converter), [dict]), (StreamItem.ImageArray, ImageArrayConverter(), [dict]), (StreamItem.PulseqDefinitions, PulseqDefinitionsConverter(), [dict]), (StreamItem.Blocks, _ndjson.VectorConverter(BlockConverter()), [list]), (StreamItem.Rf, RFEventConverter(), [dict]), (StreamItem.ArbitraryGradient, ArbitraryGradientConverter(), [dict]), (StreamItem.TrapezoidalGradient, TrapezoidalGradientConverter(), [dict]), (StreamItem.Adc, ADCEventConverter(), [dict]), (StreamItem.Shape, ShapeConverter(), [dict])], False)
         while (json_object := self._read_json_line("data", False)) is not _ndjson.MISSING_SENTINEL:
             yield converter.from_json(json_object)
 
diff --git a/python/mrd/protocols.py b/python/mrd/protocols.py
index 191d38fe..d22ca77c 100644
--- a/python/mrd/protocols.py
+++ b/python/mrd/protocols.py
@@ -24,7 +24,7 @@ class MrdWriterBase(abc.ABC):
     def __init__(self) -> None:
         self._state = 0
 
-    schema = r"""{"protocol":{"name":"Mrd","sequence":[{"name":"header","type":[null,"Mrd.Header"]},{"name":"data","type":{"stream":{"items":"Mrd.StreamItem"}}}]},"types":[{"name":"AccelerationFactorType","fields":[{"name":"kspaceEncodingStep1","type":"uint32"},{"name":"kspaceEncodingStep2","type":"uint32"}]},{"name":"Acquisition","fields":[{"name":"head","type":"Mrd.AcquisitionHeader"},{"name":"data","type":"Mrd.AcquisitionData"},{"name":"trajectory","type":"Mrd.TrajectoryData"}]},{"name":"Acquisition","fields":[{"name":"head","type":"Mrd.AcquisitionHeader"},{"name":"data","type":"Mrd.AcquisitionData"},{"name":"trajectory","type":"Mrd.TrajectoryData"}]},{"name":"AcquisitionBucket","fields":[{"name":"data","type":{"vector":{"items":"Mrd.Acquisition"}}},{"name":"ref","type":{"vector":{"items":"Mrd.Acquisition"}}},{"name":"datastats","type":{"vector":{"items":"Mrd.EncodingLimitsType"}}},{"name":"refstats","type":{"vector":{"items":"Mrd.EncodingLimitsType"}}},{"name":"waveforms","type":{"vector":{"items":"Mrd.WaveformUint32"}}}]},{"name":"AcquisitionData","type":{"array":{"items":"complexfloat32","dimensions":[{"name":"coils"},{"name":"samples"}]}}},{"name":"AcquisitionFlags","base":"uint64","values":[{"symbol":"firstInEncodeStep1","value":1},{"symbol":"lastInEncodeStep1","value":2},{"symbol":"firstInEncodeStep2","value":4},{"symbol":"lastInEncodeStep2","value":8},{"symbol":"firstInAverage","value":16},{"symbol":"lastInAverage","value":32},{"symbol":"firstInSlice","value":64},{"symbol":"lastInSlice","value":128},{"symbol":"firstInContrast","value":256},{"symbol":"lastInContrast","value":512},{"symbol":"firstInPhase","value":1024},{"symbol":"lastInPhase","value":2048},{"symbol":"firstInRepetition","value":4096},{"symbol":"lastInRepetition","value":8192},{"symbol":"firstInSet","value":16384},{"symbol":"lastInSet","value":32768},{"symbol":"firstInSegment","value":65536},{"symbol":"lastInSegment","value":131072},{"symbol":"isNoiseMeasurement","value":262144},{"symbol":"isParallelCalibration","value":524288},{"symbol":"isParallelCalibrationAndImaging","value":1048576},{"symbol":"isReverse","value":2097152},{"symbol":"isNavigationData","value":4194304},{"symbol":"isPhasecorrData","value":8388608},{"symbol":"lastInMeasurement","value":16777216},{"symbol":"isHpfeedbackData","value":33554432},{"symbol":"isDummyscanData","value":67108864},{"symbol":"isRtfeedbackData","value":134217728},{"symbol":"isSurfacecoilcorrectionscanData","value":268435456},{"symbol":"isPhaseStabilizationReference","value":536870912},{"symbol":"isPhaseStabilization","value":1073741824}]},{"name":"AcquisitionHeader","fields":[{"name":"flags","type":"Mrd.AcquisitionFlags"},{"name":"idx","type":"Mrd.EncodingCounters"},{"name":"measurementUid","type":"uint32"},{"name":"scanCounter","type":[null,"uint32"]},{"name":"acquisitionTimeStampNs","type":[null,"uint64"]},{"name":"physiologyTimeStampNs","type":{"vector":{"items":"uint64"}}},{"name":"channelOrder","type":{"vector":{"items":"uint32"}}},{"name":"discardPre","type":[null,"uint32"]},{"name":"discardPost","type":[null,"uint32"]},{"name":"centerSample","type":[null,"uint32"]},{"name":"encodingSpaceRef","type":[null,"uint32"]},{"name":"sampleTimeNs","type":[null,"uint64"]},{"name":"position","type":{"array":{"items":"float32","dimensions":[{"length":3}]}}},{"name":"readDir","type":{"array":{"items":"float32","dimensions":[{"length":3}]}}},{"name":"phaseDir","type":{"array":{"items":"float32","dimensions":[{"length":3}]}}},{"name":"sliceDir","type":{"array":{"items":"float32","dimensions":[{"length":3}]}}},{"name":"patientTablePosition","type":{"array":{"items":"float32","dimensions":[{"length":3}]}}},{"name":"userInt","type":{"vector":{"items":"int32"}}},{"name":"userFloat","type":{"vector":{"items":"float32"}}}]},{"name":"AcquisitionSystemInformationType","fields":[{"name":"systemVendor","type":[null,"string"]},{"name":"systemModel","type":[null,"string"]},{"name":"systemFieldStrengthT","type":[null,"float32"]},{"name":"relativeReceiverNoiseBandwidth","type":[null,"float32"]},{"name":"receiverChannels","type":[null,"uint32"]},{"name":"coilLabel","type":{"vector":{"items":"Mrd.CoilLabelType"}}},{"name":"institutionName","type":[null,"string"]},{"name":"stationName","type":[null,"string"]},{"name":"deviceID","type":[null,"string"]},{"name":"deviceSerialNumber","type":[null,"string"]}]},{"name":"Array","typeParameters":["T"],"type":{"array":{"items":"T"}}},{"name":"ArrayComplexFloat","type":{"name":"Mrd.Array","typeArguments":["complexfloat32"]}},{"name":"Calibration","values":[{"symbol":"separable2D","value":0},{"symbol":"full3D","value":1},{"symbol":"other","value":2}]},{"name":"CalibrationMode","values":[{"symbol":"noacceleration","value":0},{"symbol":"embedded","value":1},{"symbol":"interleaved","value":2},{"symbol":"separate","value":3},{"symbol":"external","value":4},{"symbol":"other","value":5}]},{"name":"CoilLabelType","fields":[{"name":"coilNumber","type":"uint32"},{"name":"coilName","type":"string"}]},{"nam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
     def close(self) -> None:
         if self._state == 3:
diff --git a/python/mrd/tools/mrd_to_seq.py b/python/mrd/tools/mrd_to_seq.py
new file mode 100644
index 00000000..cbaede6f
--- /dev/null
+++ b/python/mrd/tools/mrd_to_seq.py
@@ -0,0 +1,295 @@
+import argparse
+import sys
+from typing import Iterable, TextIO, Tuple, Union
+import warnings
+
+import mrd
+
+from mrd.tools.seq_to_mrd import (
+    _PULSEQ_SUPPORTED_VERSIONS,
+    _PULSEQ_VERSION_1_4_2,
+    _PULSEQ_VERSION_1_5_0,
+    _version_to_string,
+)
+
+_rf_use_to_abbreviation_dict = {e: e.name.lower()[0] for e in mrd.RFPulseUse}
+
+
+def _get_abbreviation_for_rf_use(rf_use: mrd.RFPulseUse) -> str:
+    try:
+        return _rf_use_to_abbreviation_dict[rf_use]
+    except KeyError:
+        raise ValueError(f"Invalid RF use '{rf_use}'") from None
+
+
+def _parse_version(version_str: str) -> Tuple[int, int, int]:
+    parts = version_str.split(".")
+    if len(parts) != 3:
+        raise ValueError(f"Invalid version string: {version_str}")
+    try:
+        major, minor, patch = map(int, parts)
+    except ValueError:
+        raise ValueError(f"Invalid version string: {version_str}")
+    return major, minor, patch
+
+
+def stream_items_to_pulseq_text(
+    items: Iterable[mrd.StreamItem],
+    file: TextIO,
+    version=_version_to_string(_PULSEQ_VERSION_1_4_2),
+) -> None:
+    parsed_version = _parse_version(version)
+
+    definitions = mrd.PulseqDefinitions()
+    blocks = []
+    rf_events = []
+    adc_events = []
+    trap_grad_events = []
+    arb_grad_events = []
+    shapes = []
+
+    for item in items:
+        if isinstance(item, mrd.StreamItem.PulseqDefinitions):
+            # If this is not the first occurrence of a Definition,
+            # should we merge instead of replacing? Raise an error or warning?
+            definitions = item.value
+        elif isinstance(item, mrd.StreamItem.Blocks):
+            blocks.extend(item.value)
+        elif isinstance(item, mrd.StreamItem.Rf):
+            rf_events.append(item.value)
+        elif isinstance(item, mrd.StreamItem.Adc):
+            adc_events.append(item.value)
+        elif isinstance(item, mrd.StreamItem.TrapezoidalGradient):
+            trap_grad_events.append(item.value)
+        elif isinstance(item, mrd.StreamItem.ArbitraryGradient):
+            arb_grad_events.append(item.value)
+        elif isinstance(item, mrd.StreamItem.Shape):
+            shapes.append(item.value)
+
+    write_header(file)
+    write_version(file, parsed_version)
+    write_definitions(file, definitions)
+    write_blocks(file, blocks)
+    write_rf_events(file, rf_events, parsed_version)
+    write_arbitrary_grad_events(file, arb_grad_events, parsed_version)
+    write_trap_grad_events(file, trap_grad_events)
+    write_adc_events(file, adc_events, parsed_version)
+    write_shapes(file, shapes)
+
+
+def write_header(file: TextIO) -> None:
+    file.write("# Pulseq sequence file\n")
+    file.write("# Created by MRD\n\n")
+
+
+def write_version(file: TextIO, version: Tuple[int, int, int]) -> None:
+    file.write("[VERSION]\n")
+    file.write(f"major {version[0]}\n")
+    file.write(f"minor {version[1]}\n")
+    file.write(f"revision {version[2]}\n\n")
+
+
+def write_definitions(file: TextIO, definitions: Union[mrd.PulseqDefinitions, None]) -> None:
+    if definitions is None:
+        raise ValueError("No definitions were present in the stream.")
+
+    file.write("[DEFINITIONS]\n")
+    file.write(f"AdcRasterTime {definitions.adc_raster_time:g}\n")
+    file.write(f"BlockDurationRaster {definitions.block_duration_raster:g}\n")
+    file.write(f"GradientRasterTime {definitions.gradient_raster_time:g}\n")
+    file.write(f"RadiofrequencyRasterTime {definitions.radiofrequency_raster_time:g}\n")
+    if definitions.name:
+        file.write(f"Name {definitions.name}\n")
+    if definitions.fov:
+        file.write(
+            f"FOV {definitions.fov.x:g} {definitions.fov.y:g} {definitions.fov.z:g}\n"
+        )
+    if definitions.total_duration:
+        file.write(f"TotalDuration {definitions.total_duration:g}\n")
+    for key, value in definitions.custom.items():
+        file.write(f"{key} {value}\n")
+    file.write("\n")
+
+
+def write_blocks(file, blocks: list[mrd.Block]) -> None:
+    file.write("# Format of blocks:\n")
+    file.write("# NUM DUR RF  GX  GY  GZ  ADC  EXT\n")
+    file.write("[BLOCKS]\n")
+
+    id_width = len(str(len(blocks)))
+    for block in blocks:
+        file.write(
+            f"{block.id:{id_width}d} "
+            f"{block.duration:3d} {block.rf:3d} {block.gx:3d} {block.gy:3d} "
+            f"{block.gz:3d} {block.adc:2d} {block.ext:2d}\n"
+        )
+    file.write("\n")
+
+
+def write_arbitrary_grad_events(
+    file, arb_grad_events: list[mrd.ArbitraryGradient], version
+) -> None:
+    if len(arb_grad_events) == 0:
+        return
+
+    if version >= _PULSEQ_VERSION_1_5_0:
+        file.write("# Format of arbitrary gradients:\n")
+        file.write(
+            "#   time_shape_id of 0 means default timing "
+            "(stepping with grad_raster starting at 1/2 of grad_raster)\n"
+        )
+        file.write("# id amplitude first last amp_shape_id time_shape_id delay\n")
+        file.write("# ..      Hz/m  Hz/m Hz/m        ..         ..          us\n")
+        file.write("[GRADIENTS]\n")
+
+        "%d %12g %12g %12g %d %d %d"
+        for grad in arb_grad_events:
+            file.write(
+                f"{grad.id:.0f} {grad.amp:12g} {grad.first:12g} {grad.last:12g} "
+                f"{grad.shape_id:.0f} {grad.time_id:.0f} {grad.delay:.0f}\n"
+            )
+    else:
+        file.write("# Format of arbitrary gradients:\n")
+        file.write(
+            "#   time_shape_id of 0 means default timing (stepping with grad_raster starting at 1/2 of grad_raster)\n"
+        )
+        file.write("# id amplitude amp_shape_id time_shape_id delay\n")
+        file.write("# ..      Hz/m       ..         ..          us\n")
+        file.write("[GRADIENTS]\n")
+        for grad in arb_grad_events:
+            if grad.first or grad.last:
+                warnings.warn(f"Data loss when writing arbitrary gradient to pulseq version {_version_to_string(version)}")
+
+            file.write(
+                f"{grad.id:.0f} {grad.amp:12g} {grad.shape_id:.0f} {grad.time_id:.0f} {grad.delay:.0f}\n"
+            )
+
+    file.write("\n")
+
+
+def write_trap_grad_events(
+    file, trap_grad_events: list[mrd.TrapezoidalGradient]
+) -> None:
+    if len(trap_grad_events) == 0:
+        return
+
+    file.write("# Format of trapezoid gradients:\n")
+    file.write("# id amplitude rise flat fall delay\n")
+    file.write("# ..      Hz/m   us   us   us    us\n")
+    file.write("[TRAP]\n")
+
+    for grad in trap_grad_events:
+        file.write(
+            f"{grad.id:2d} {grad.amp:12g} {grad.rise:3.0f} "
+            f"{grad.flat:4.0f} {grad.fall:3.0f} {grad.delay:3.0f}\n"
+        )
+
+    file.write("\n")
+
+
+def write_rf_events(file, rf_events: list[mrd.RFEvent], version):
+    if len(rf_events) == 0:
+        return
+
+    if version >= _PULSEQ_VERSION_1_5_0:
+        file.write("# Format of RF events:\n")
+        file.write(
+            "# id ampl. mag_id phase_id time_shape_id center delay freqPPM phasePPM freq phase use\n"
+        )
+        file.write(
+            "# ..   Hz      ..       ..            ..     us    us     ppm  rad/MHz   Hz   rad  ..\n"
+        )
+        file.write("[RF]\n")
+
+        for rf in rf_events:
+            file.write(
+                f"{rf.id:.0f} {rf.amp:12g} {rf.mag_id:.0f} {rf.phase_id:.0f} {rf.time_id:.0f} "
+                f"{rf.center:.0f} {rf.delay:g} {rf.freq_ppm:g} {rf.phase_ppm:g} "
+                f"{rf.freq_offset:g} {rf.phase_offset:g} {_get_abbreviation_for_rf_use(rf.use)}\n"
+            )
+    else:
+        file.write("# Format of RF events:\n")
+        file.write("# id amplitude mag_id phase_id time_shape_id delay freq phase\n")
+        file.write("# ..        Hz   ....     ....          ....    us   Hz   rad\n")
+        file.write("[RF]\n")
+
+        for rf in rf_events:
+            if rf.center or rf.freq_ppm or rf.phase_ppm or rf.use != mrd.RFPulseUse.UNDEFINED:
+                warnings.warn(f"Data loss when writing RF event to pulseq version {_version_to_string(version)}")
+
+            file.write(
+                f"{rf.id:.0f} {rf.amp:12g} {rf.mag_id:.0f} {rf.phase_id:.0f} {rf.time_id:.0f} "
+                f"{rf.delay:g} {rf.freq_offset:g} {rf.phase_offset:g}\n"
+            )
+
+    file.write("\n")
+
+
+def write_adc_events(file, adc_events: list[mrd.ADCEvent], version) -> None:
+    if len(adc_events) == 0:
+        return
+
+    if version >= _PULSEQ_VERSION_1_5_0:
+        file.write("# Format of ADC events:\n")
+        file.write("# id num dwell delay freqPPM phasePPM freq phase phase_id\n")
+        file.write("# ..  ..    ns    us     ppm  rad/MHz   Hz   rad       ..\n")
+        file.write("[ADC]\n")
+
+        for adc in adc_events:
+            file.write(
+                f"{adc.id:.0f} {adc.num:.0f} {adc.dwell:.0f} {adc.delay:.0f} {adc.freq_ppm:g} "
+                f"{adc.phase_ppm:g} {adc.freq:g} {adc.phase:g} {adc.phase_shape_id:.0f}\n"
+            )
+    else:
+        file.write("# Format of ADC events:\n")
+        file.write("# id num dwell delay freq phase\n")
+        file.write("# ..  ..    ns    us   Hz   rad\n")
+        file.write("[ADC]\n")
+
+        for adc in adc_events:
+            if adc.freq_ppm or adc.phase_ppm or adc.phase_shape_id:
+                warnings.warn(f"Data loss when writing ADC event to pulseq version {_version_to_string(version)}")
+
+            file.write(
+                f"{adc.id:.0f} {adc.num:.0f} {adc.dwell:.0f} {adc.delay:.0f} "
+                f"{adc.freq:g} {adc.phase:g}\n"
+            )
+
+    file.write("\n")
+
+
+def write_shapes(file, shapes: list[mrd.Shape]) -> None:
+    if len(shapes) == 0:
+        return
+
+    file.write("# Sequence Shapes\n")
+    file.write("[SHAPES]\n\n")
+
+    for shape in shapes:
+        file.write(f"shape_id {shape.id}\n")
+        file.write(f"num_samples {shape.num_samples}\n")
+        for sample in shape.data:
+            file.write(f"{sample:0.9g}\n")
+        file.write("\n")
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Parses a pulseq .seq file into MRD stream items")
+    parser.add_argument('-i', '--input', type=str, required=False, help="Input file, defaults to stdin")
+    parser.add_argument('-o', '--output', type=str, required=False, help="Output file, defaults to stdout")
+    parser.add_argument(
+        "-v",
+        "--pulseq-version",
+        metavar="version",
+        type=str,
+        required=False,
+        help="Pulseq version to use, defaults to 1.4.2",
+        choices=[_version_to_string(v) for v in _PULSEQ_SUPPORTED_VERSIONS],
+        default=_version_to_string(_PULSEQ_VERSION_1_4_2),
+    )
+    args = parser.parse_args()
+
+    with (open(args.input, "rb") if args.input is not None else sys.stdin.buffer) as input:
+        with mrd.BinaryMrdReader(input) as reader:
+            with (open(args.output, "w") if args.output is not None else sys.stdout) as output:
+                reader.read_header()  # Ignore header
+                stream_items_to_pulseq_text(reader.read_data(), output, args.pulseq_version)
diff --git a/python/mrd/tools/seq_to_mrd.py b/python/mrd/tools/seq_to_mrd.py
new file mode 100644
index 00000000..099e1d31
--- /dev/null
+++ b/python/mrd/tools/seq_to_mrd.py
@@ -0,0 +1,485 @@
+import argparse
+import sys
+from typing import Iterable, Optional, TextIO, Union, Tuple
+import numpy as np
+import mrd
+
+_PULSEQ_VERSION_1_4_2 = (1, 4, 2)
+_PULSEQ_VERSION_1_5_0 = (1, 5, 0)
+_PULSEQ_VERSION_1_5_1 = (1, 5, 1)
+
+_PULSEQ_SUPPORTED_VERSIONS = [
+    _PULSEQ_VERSION_1_4_2,
+    _PULSEQ_VERSION_1_5_0,
+    _PULSEQ_VERSION_1_5_1,
+]
+
+
+def _version_to_string(version: Tuple[int, int, int]) -> str:
+    return f"{version[0]}.{version[1]}.{version[2]}"
+
+
+_abbreviation_to_rf_use_dict = {e.name.lower()[0]: e for e in mrd.RFPulseUse}
+
+
+def _get_rf_use_from_abbreviation(abbreviation: str) -> mrd.RFPulseUse:
+    try:
+        return _abbreviation_to_rf_use_dict[abbreviation]
+    except KeyError:
+        raise ValueError(f"Invalid RF use abbreviation '{abbreviation}'") from None
+
+
+class _LinesIterator:
+    """
+    Internal implementation of a peekable line iterator for pulseq .seq files.
+
+    Behavior:
+      - Strips whitespace.
+      - Skips comment lines beginning with '#'.
+      - Provides lookahead via peek().
+      - Line numbers correspond to the original file (1-based).
+    """
+
+    def __init__(self, file: TextIO):
+        self._file = file
+        self._buffer: Union[Tuple[int, str], None] = None
+        self._line_number = 0
+
+    def __iter__(self) -> "_LinesIterator":
+        return self
+
+    def __next__(self) -> Tuple[int, str]:
+        if self._buffer is not None:
+            item = self._buffer
+            self._buffer = None
+            return item
+
+        while True:
+            raw = self._file.readline()
+            if raw == "":  # EOF
+                raise StopIteration
+            self._line_number += 1
+            line = raw.strip()
+            if line.startswith("#"):
+                continue
+            return self._line_number, line
+
+    def peek(self) -> Optional[Tuple[int, str]]:
+        if self._buffer is not None:
+            return self._buffer
+        try:
+            self._buffer = self.__next__()
+        except StopIteration:
+            return None
+        return self._buffer
+
+    def skip_empty_lines(self) -> None:
+        while True:
+            next_line = self.peek()
+            if next_line is None or next_line[1] != "":
+                break
+            next(self)
+
+    def read_until_next_section(self) -> Iterable[Tuple[int, str]]:
+        while True:
+            next_line = self.peek()
+            if next_line is None or (
+                next_line[1].startswith("[") and next_line[1].endswith("]")
+            ):
+                break
+
+            yield next(self)
+
+
+def pulseq_text_to_stream_items(file: TextIO) -> Iterable[mrd.StreamItem]:
+    linesIterable = _LinesIterator(file)
+
+    linesIterable.skip_empty_lines()
+    line_number, line = next(linesIterable)
+    if line != "[VERSION]":
+        raise RuntimeError(
+            f"Line {line_number}: Expected [VERSION] section start, got '{line}'"
+        )
+
+    version = _parse_version(linesIterable)
+    if version not in _PULSEQ_SUPPORTED_VERSIONS:
+        raise RuntimeError(
+            f"Unsupported pulseq version {_version_to_string(version)}. "
+            + f"Supported versions are: {', '.join(_version_to_string(v) for v in _PULSEQ_SUPPORTED_VERSIONS)}"
+        )
+
+    definitions: Optional[mrd.PulseqDefinitions] = None
+    blocks: list[mrd.Block] = []
+    rf_events: list[mrd.RFEvent] = []
+    trapezoidal_gradients: list[mrd.TrapezoidalGradient] = []
+    arbitrary_gradients: list[mrd.ArbitraryGradient] = []
+    adc_events: list[mrd.ADCEvent] = []
+    shapes: list[mrd.Shape] = []
+
+    for line_number, line in linesIterable:
+        if line == "":
+            continue
+        elif line == "[DEFINITIONS]":
+            if version is None:
+                raise RuntimeError(
+                    f"Line {line_number}: [DEFINITIONS] section before [VERSION] section"
+                )
+            definitions = _parse_definitions(linesIterable)
+        elif line == "[BLOCKS]":
+            blocks = _parse_blocks(linesIterable)
+        elif line == "[RF]":
+            rf_events = _parse_rf_events(linesIterable, version)
+        elif line == "[TRAP]":
+            trapezoidal_gradients = _parse_trap_gradients(linesIterable)
+        elif line == "[GRADIENTS]":
+            arbitrary_gradients = _parse_arbitrary_gradients(linesIterable, version)
+        elif line == "[ADC]":
+            adc_events = _parse_adc_events(linesIterable, version)
+        elif line == "[SHAPES]":
+            shapes = _parse_shapes(linesIterable)
+        elif line == "[SIGNATURE]":
+            _parse_signature(linesIterable)
+        else:
+            if line.startswith("[") and line.endswith("]"):
+                raise RuntimeError(
+                    f"Line {line_number}: Unexpected section start `{line}`"
+                )
+
+            raise RuntimeError(f"Line {line_number}: unexpected line `{line}`")
+
+    if definitions:
+        yield mrd.StreamItem.PulseqDefinitions(definitions)
+    for shape in shapes:
+        yield mrd.StreamItem.Shape(shape)
+    for rf in rf_events:
+        yield mrd.StreamItem.Rf(rf)
+    for trap in trapezoidal_gradients:
+        yield mrd.StreamItem.TrapezoidalGradient(trap)
+    for grad in arbitrary_gradients:
+        yield mrd.StreamItem.ArbitraryGradient(grad)
+    for adc in adc_events:
+        yield mrd.StreamItem.Adc(adc)
+    yield mrd.StreamItem.Blocks(blocks)
+
+
+def _parse_version(lines: _LinesIterator) -> Tuple[int, int, int]:
+    major, minor, revision = (0, 0, 0)
+    for line_number, line in lines.read_until_next_section():
+        if line == "":
+            break
+        try:
+            tokens = line.split()
+            if len(tokens) != 2:
+                raise RuntimeError(f"Line {line_number}: Invalid version {line}")
+            key, value = tokens
+            if key == "major":
+                major = int(value)
+            elif key == "minor":
+                minor = int(value)
+            elif key == "revision":
+                revision = int(value)
+            else:
+                raise RuntimeError(f"Invalid version key {key}")
+        except Exception as e:
+            raise RuntimeError(
+                f"Line {line_number}: Invalid version line {line}"
+            ) from e
+
+    return major, minor, revision
+
+
+def _parse_definitions(lines: _LinesIterator) -> mrd.PulseqDefinitions:
+    definitions = mrd.PulseqDefinitions()
+    for line_number, line in lines.read_until_next_section():
+        if line == "":
+            continue
+        try:
+            tokens = line.split(" ")
+            key, *values = tokens
+            if key == "GradientRasterTime":
+                definitions.gradient_raster_time = float(values[0])
+            elif key == "RadiofrequencyRasterTime":
+                definitions.radiofrequency_raster_time = float(values[0])
+            elif key == "AdcRasterTime":
+                definitions.adc_raster_time = float(values[0])
+            elif key == "BlockDurationRaster":
+                definitions.block_duration_raster = float(values[0])
+            elif key == "Name":
+                definitions.name = values[0]
+            elif key == "FOV":
+                if len(values) != 3:
+                    raise RuntimeError(f"Invalid FOV `{line}`")
+                definitions.fov = mrd.ThreeDimensionalFloat(
+                    x=float(values[0]), y=float(values[1]), z=float(values[2])
+                )
+            elif key == "TotalDuration":
+                definitions.total_duration = float(values[0])
+            else:
+                definitions.custom[key] = " ".join(values)
+        except Exception as e:
+            raise RuntimeError(
+                f"Line {line_number}: Invalid definition `{line}`"
+            ) from e
+
+    return definitions
+
+
+def _parse_blocks(lines: _LinesIterator) -> list[mrd.Block]:
+    blocks: list[mrd.Block] = []
+    for line_number, line in lines.read_until_next_section():
+        if line == "":
+            continue
+        tokens = line.split()
+        try:
+            if len(tokens) != 8:
+                raise RuntimeError(f"Line {line_number}: Invalid block `{line}`")
+
+            block = mrd.Block(
+                id=int(tokens[0]),
+                duration=int(tokens[1]),
+                rf=int(tokens[2]),
+                gx=int(tokens[3]),
+                gy=int(tokens[4]),
+                gz=int(tokens[5]),
+                adc=int(tokens[6]),
+                ext=int(tokens[7]),
+            )
+        except Exception as e:
+            raise RuntimeError(f"Line {line_number}: Invalid block `{line}`") from e
+
+        blocks.append(block)
+
+    return blocks
+
+
+def _parse_rf_events(lines: _LinesIterator, version) -> list[mrd.RFEvent]:
+    rf_events: list[mrd.RFEvent] = []
+    for line_number, line in lines.read_until_next_section():
+        if line == "":
+            continue
+        tokens = line.split()
+        try:
+            if version >= _PULSEQ_VERSION_1_5_0:
+                if len(tokens) != 12:
+                    raise RuntimeError(
+                        f"Line {line_number}: Invalid RF event `{line}`"
+                    )
+
+                rf_event = mrd.RFEvent(
+                    id=int(tokens[0]),
+                    amp=float(tokens[1]),
+                    mag_id=int(tokens[2]),
+                    phase_id=int(tokens[3]),
+                    time_id=int(tokens[4]),
+                    center=int(tokens[5]),
+                    delay=int(tokens[6]),
+                    freq_ppm=float(tokens[7]),
+                    phase_ppm=float(tokens[8]),
+                    freq_offset=float(tokens[9]),
+                    phase_offset=float(tokens[10]),
+                    use=_get_rf_use_from_abbreviation(tokens[11]),
+                )
+            else:
+                if len(tokens) != 8:
+                    raise RuntimeError(
+                        f"Line {line_number}: Invalid RF event `{line}`"
+                    )
+                rf_event = mrd.RFEvent(
+                    id=int(tokens[0]),
+                    amp=float(tokens[1]),
+                    mag_id=int(tokens[2]),
+                    phase_id=int(tokens[3]),
+                    time_id=int(tokens[4]),
+                    delay=int(tokens[5]),
+                    freq_offset=float(tokens[6]),
+                    phase_offset=float(tokens[7]),
+                )
+
+        except Exception as e:
+            raise RuntimeError(
+                f"Line {line_number}: Invalid RF event `{line}`"
+            ) from e
+
+        rf_events.append(rf_event)
+
+    return rf_events
+
+
+def _parse_trap_gradients(lines: _LinesIterator) -> list[mrd.TrapezoidalGradient]:
+    trap_gradients: list[mrd.TrapezoidalGradient] = []
+    for line_number, line in lines.read_until_next_section():
+        if line == "":
+            continue
+        tokens = line.split()
+        try:
+            trap_gradient = mrd.TrapezoidalGradient(
+                id=int(tokens[0]),
+                amp=float(tokens[1]),
+                rise=int(tokens[2]),
+                flat=int(tokens[3]),
+                fall=int(tokens[4]),
+                delay=int(tokens[5]),
+            )
+        except Exception as e:
+            raise RuntimeError(
+                f"Line {line_number}: Invalid trapezoidal gradient `{line}`"
+            ) from e
+
+        trap_gradients.append(trap_gradient)
+
+    return trap_gradients
+
+
+def _parse_arbitrary_gradients(
+    lines: _LinesIterator, version
+) -> list[mrd.ArbitraryGradient]:
+    arbitrary_gradients: list[mrd.ArbitraryGradient] = []
+    for line_number, line in lines.read_until_next_section():
+        if line == "":
+            continue
+        tokens = line.split()
+        try:
+            if version >= _PULSEQ_VERSION_1_5_0:
+                if len(tokens) != 7:
+                    raise RuntimeError(
+                        f"Line {line_number}: Invalid arbitrary gradient `{line}`"
+                    )
+                arbitrary_gradient = mrd.ArbitraryGradient(
+                    id=int(tokens[0]),
+                    amp=float(tokens[1]),
+                    first=float(tokens[2]),
+                    last=float(tokens[3]),
+                    shape_id=int(tokens[4]),
+                    time_id=int(tokens[5]),
+                    delay=int(tokens[6]),
+                )
+            else:
+                if len(tokens) != 5:
+                    raise RuntimeError(
+                        f"Line {line_number}: Invalid arbitrary gradient `{line}`"
+                    )
+                arbitrary_gradient = mrd.ArbitraryGradient(
+                    id=int(tokens[0]),
+                    amp=float(tokens[1]),
+                    shape_id=int(tokens[2]),
+                    time_id=int(tokens[3]),
+                    delay=int(tokens[4]),
+                )
+            arbitrary_gradients.append(arbitrary_gradient)
+        except Exception as e:
+            raise RuntimeError(
+                f"Line {line_number}: Invalid arbitrary gradient `{line}`"
+            ) from e
+
+    return arbitrary_gradients
+
+
+def _parse_adc_events(lines: _LinesIterator, version) -> list[mrd.ADCEvent]:
+    adc_events: list[mrd.ADCEvent] = []
+    for line_number, line in lines.read_until_next_section():
+        if line == "":
+            continue
+        tokens = line.split()
+        try:
+            if version >= _PULSEQ_VERSION_1_5_0:
+                if len(tokens) != 9:
+                    raise RuntimeError(
+                        f"Line {line_number}: invalid ADC event `{line}`"
+                    )
+                adc_event = mrd.ADCEvent(
+                    id=int(tokens[0]),
+                    num=int(tokens[1]),
+                    dwell=float(tokens[2]),
+                    delay=int(tokens[3]),
+                    freq_ppm=float(tokens[4]),
+                    phase_ppm=float(tokens[5]),
+                    freq=float(tokens[6]),
+                    phase=float(tokens[7]),
+                    phase_shape_id=int(tokens[8]),
+                )
+            else:
+                if len(tokens) != 6:
+                    raise RuntimeError(
+                        f"Line {line_number}: invalid ADC event `{line}`"
+                    )
+            adc_event = mrd.ADCEvent(
+                id=int(tokens[0]),
+                num=int(tokens[1]),
+                dwell=float(tokens[2]),
+                delay=int(tokens[3]),
+                freq=float(tokens[4]),
+                phase=float(tokens[5]),
+            )
+        except Exception as e:
+            raise RuntimeError(
+                f"Line {line_number}: invalid ADC event `{line}`"
+            ) from e
+
+        adc_events.append(adc_event)
+
+    return adc_events
+
+
+def _parse_shapes(lines: _LinesIterator) -> list[mrd.Shape]:
+    shapes: list[mrd.Shape] = []
+
+    while True:
+        lines.skip_empty_lines()
+        peeked = lines.peek()
+        if not peeked or peeked[1].startswith("[") and peeked[1].endswith("]"):
+            break
+
+        line_number, line = next(lines)
+        k, v = line.split()
+        if k != "shape_id" and k != "Shape_ID":
+            raise RuntimeError(
+                f"Line {line_number}: Expected shape_id, got `{line}`"
+            )
+        shape_id = int(v)
+
+        line_number, line = next(lines)
+        k, v = line.split()
+        if k != "num_samples" and k != "Num_Uncompressed":
+            raise RuntimeError(
+                f"Line {line_number}: Expected num_samples, got `{line}`"
+            )
+        num_samples = int(v)
+
+        data = []
+        for line_number, line in lines:
+            if line == "":
+                break
+            try:
+                data.append(float(line))
+            except ValueError:
+                raise RuntimeError(
+                    f"Line {line_number}: Invalid shape data `{line}`"
+                )
+
+        shapes.append(
+            mrd.Shape(
+                id=shape_id,
+                num_samples=num_samples,
+                data=np.array(data, dtype=np.float64),
+            )
+        )
+
+    return shapes
+
+
+def _parse_signature(lines: _LinesIterator) -> None:
+    for _, line in lines:
+        if line == "":
+            break
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Converts a Pulseq .seq file into an MRD stream")
+    parser.add_argument('-i', '--input', type=str, required=False, help="Input file, defaults to stdin")
+    parser.add_argument('-o', '--output', type=str, required=False, help="Output file, defaults to stdout")
+    args = parser.parse_args()
+
+    with (open(args.input, "r") if args.input is not None else sys.stdin) as input:
+        with (open(args.output, "wb") if args.output is not None else sys.stdout.buffer) as output:
+            with mrd.BinaryMrdWriter(output) as writer:
+                writer.write_header(None)
+                writer.write_data(pulseq_text_to_stream_items(input))
diff --git a/python/mrd/types.py b/python/mrd/types.py
index 4e63966e..2aff212c 100644
--- a/python/mrd/types.py
+++ b/python/mrd/types.py
@@ -330,6 +330,37 @@ def __repr__(self) -> str:
         return f"Acquisition(head={repr(self.head)}, data={repr(self.data)}, trajectory={repr(self.trajectory)})"
 
 
+class AcquisitionPrototype:
+    """Specifies header and data size of an acquisition, without the actual data."""
+
+    head: AcquisitionHeader
+    """Acquisition header template"""
+
+    data_sample_counts: npt.NDArray[np.uint32]
+    """Sample counts by coil"""
+
+
+    def __init__(self, *,
+        head: typing.Optional[AcquisitionHeader] = None,
+        data_sample_counts: typing.Optional[npt.NDArray[np.uint32]] = None,
+    ):
+        self.head = head if head is not None else AcquisitionHeader()
+        self.data_sample_counts = data_sample_counts if data_sample_counts is not None else np.zeros((0), dtype=np.dtype(np.uint32))
+
+    def __eq__(self, other: object) -> bool:
+        return (
+            isinstance(other, AcquisitionPrototype)
+            and self.head == other.head
+            and yardl.structural_equal(self.data_sample_counts, other.data_sample_counts)
+        )
+
+    def __str__(self) -> str:
+        return f"AcquisitionPrototype(head={self.head}, data_sample_counts={self.data_sample_counts})"
+
+    def __repr__(self) -> str:
+        return f"AcquisitionPrototype(head={repr(self.head)}, data_sample_counts={repr(self.data_sample_counts)})"
+
+
 class PatientGender(yardl.OutOfRangeEnum):
     M = 0
     F = 1
@@ -2088,8 +2119,490 @@ def __repr__(self) -> str:
 
 ArrayComplexFloat = Array[np.complex64]
 
+class PulseqDefinitions:
+    """Pulseq definitions"""
+
+    gradient_raster_time: yardl.Float64
+    """Default raster time (dwell time) of the shaped gradient events, specified in seconds"""
+
+    radiofrequency_raster_time: yardl.Float64
+    """Default raster time (dwell time) of the radio-frequency pulse shapes, specified in seconds"""
+
+    adc_raster_time: yardl.Float64
+    """The value defining the alignment of the ADC dwell times.
+    ADC dwell time must be integer multiple of the specified adcRasterTime.
+    adcRasterTime is specified in seconds
+    """
+
+    block_duration_raster: yardl.Float64
+    """The value defining the alignment of the block durations, specified in seconds;
+    the physical block duration must be integer multiple of the specified blockDurationRaster.
+    Block duration in the blocks section are specified in the units of blockDurationRaster
+    """
+
+    name: typing.Optional[str]
+    """Human-readable name of the sequence"""
+
+    fov: typing.Optional[ThreeDimensionalFloat]
+    """Field of view specified in meters."""
+
+    total_duration: typing.Optional[yardl.Float64]
+    """Total duration of the sequence is seconds"""
+
+    custom: dict[str, str]
+
+    def __init__(self, *,
+        gradient_raster_time: yardl.Float64 = 0.0,
+        radiofrequency_raster_time: yardl.Float64 = 0.0,
+        adc_raster_time: yardl.Float64 = 0.0,
+        block_duration_raster: yardl.Float64 = 0.0,
+        name: typing.Optional[str] = None,
+        fov: typing.Optional[ThreeDimensionalFloat] = None,
+        total_duration: typing.Optional[yardl.Float64] = None,
+        custom: typing.Optional[dict[str, str]] = None,
+    ):
+        self.gradient_raster_time = gradient_raster_time
+        self.radiofrequency_raster_time = radiofrequency_raster_time
+        self.adc_raster_time = adc_raster_time
+        self.block_duration_raster = block_duration_raster
+        self.name = name
+        self.fov = fov
+        self.total_duration = total_duration
+        self.custom = custom if custom is not None else {}
+
+    def __eq__(self, other: object) -> bool:
+        return (
+            isinstance(other, PulseqDefinitions)
+            and self.gradient_raster_time == other.gradient_raster_time
+            and self.radiofrequency_raster_time == other.radiofrequency_raster_time
+            and self.adc_raster_time == other.adc_raster_time
+            and self.block_duration_raster == other.block_duration_raster
+            and self.name == other.name
+            and self.fov == other.fov
+            and self.total_duration == other.total_duration
+            and self.custom == other.custom
+        )
+
+    def __str__(self) -> str:
+        return f"PulseqDefinitions(gradient_raster_time={self.gradient_raster_time}, radiofrequency_raster_time={self.radiofrequency_raster_time}, adc_raster_time={self.adc_raster_time}, block_duration_raster={self.block_duration_raster}, name={self.name}, fov={self.fov}, total_duration={self.total_duration}, custom={self.custom})"
+
+    def __repr__(self) -> str:
+        return f"PulseqDefinitions(gradient_raster_time={repr(self.gradient_raster_time)}, radiofrequency_raster_time={repr(self.radiofrequency_raster_time)}, adc_raster_time={repr(self.adc_raster_time)}, block_duration_raster={repr(self.block_duration_raster)}, name={repr(self.name)}, fov={repr(self.fov)}, total_duration={repr(self.total_duration)}, custom={repr(self.custom)})"
+
+
+class Block:
+    """A sequence block that includes possible RF, gradient, and ADC events."""
+
+    id: yardl.Int32
+    """ID of the sequence block"""
+
+    duration: yardl.UInt64
+    """Duration of the block in units of Definitions.blockDurationRaster"""
+
+    rf: yardl.Int32
+    """ID of the RF event"""
+
+    gx: yardl.Int32
+    """ID of the gradient event on the X channel"""
+
+    gy: yardl.Int32
+    """ID of the gradient event on the Y channel"""
+
+    gz: yardl.Int32
+    """ID of the gradient event on the Z channel"""
+
+    adc: yardl.Int32
+    """ID of the ADC event"""
+
+    ext: yardl.Int32
+    """ID of the extension table entry"""
+
+
+    def __init__(self, *,
+        id: yardl.Int32 = 0,
+        duration: yardl.UInt64 = 0,
+        rf: yardl.Int32 = 0,
+        gx: yardl.Int32 = 0,
+        gy: yardl.Int32 = 0,
+        gz: yardl.Int32 = 0,
+        adc: yardl.Int32 = 0,
+        ext: yardl.Int32 = 0,
+    ):
+        self.id = id
+        self.duration = duration
+        self.rf = rf
+        self.gx = gx
+        self.gy = gy
+        self.gz = gz
+        self.adc = adc
+        self.ext = ext
+
+    def __eq__(self, other: object) -> bool:
+        return (
+            isinstance(other, Block)
+            and self.id == other.id
+            and self.duration == other.duration
+            and self.rf == other.rf
+            and self.gx == other.gx
+            and self.gy == other.gy
+            and self.gz == other.gz
+            and self.adc == other.adc
+            and self.ext == other.ext
+        )
+
+    def __str__(self) -> str:
+        return f"Block(id={self.id}, duration={self.duration}, rf={self.rf}, gx={self.gx}, gy={self.gy}, gz={self.gz}, adc={self.adc}, ext={self.ext})"
+
+    def __repr__(self) -> str:
+        return f"Block(id={repr(self.id)}, duration={repr(self.duration)}, rf={repr(self.rf)}, gx={repr(self.gx)}, gy={repr(self.gy)}, gz={repr(self.gz)}, adc={repr(self.adc)}, ext={repr(self.ext)})"
+
+
+class RFPulseUse(yardl.OutOfRangeEnum):
+    UNDEFINED = 0
+    EXCITATION = 1
+    REFOCUSING = 2
+    INVERSION = 3
+    SATURATION = 4
+    PREPARATION = 5
+    OTHER = 6
+
+class RFEvent:
+    """An RF event"""
+
+    id: yardl.Int32
+    """ID of the RF event"""
+
+    amp: yardl.Float64
+    """Peak amplitude in Hz"""
+
+    mag_id: yardl.Int32
+    """Shape ID for the magnitude profile"""
+
+    phase_id: yardl.Int32
+    """Shape ID for the phase profile"""
+
+    time_id: yardl.Int32
+    """Shape ID for the time sampling points, specified in the units of
+    RadiofrequencyRasterTime.
+    0 means default time raster
+    """
+
+    center: yardl.Float64
+    """Time point in microseconds relative to the beginning of
+    the RF shape at which the effective rotation takes place
+    """
+
+    delay: yardl.UInt64
+    """Delay before starting the RF pulse, specified in microseconds"""
+
+    freq_ppm: yardl.Float64
+    """Frequency offset relative to the main system's frequency,
+    specified in parts per million (ppm)
+    """
+
+    phase_ppm: yardl.Float64
+    """Phase offset proportional to the main system's frequency,
+    specified in rad/MHz
+    """
+
+    freq_offset: yardl.Float64
+    """Frequency offset in absolute units, specified in Hz"""
+
+    phase_offset: yardl.Float64
+    """Phase offset in absolute units, specified in radians"""
+
+    use: RFPulseUse
+
+    def __init__(self, *,
+        id: yardl.Int32 = 0,
+        amp: yardl.Float64 = 0.0,
+        mag_id: yardl.Int32 = 0,
+        phase_id: yardl.Int32 = 0,
+        time_id: yardl.Int32 = 0,
+        center: yardl.Float64 = 0.0,
+        delay: yardl.UInt64 = 0,
+        freq_ppm: yardl.Float64 = 0.0,
+        phase_ppm: yardl.Float64 = 0.0,
+        freq_offset: yardl.Float64 = 0.0,
+        phase_offset: yardl.Float64 = 0.0,
+        use: RFPulseUse = RFPulseUse.UNDEFINED,
+    ):
+        self.id = id
+        self.amp = amp
+        self.mag_id = mag_id
+        self.phase_id = phase_id
+        self.time_id = time_id
+        self.center = center
+        self.delay = delay
+        self.freq_ppm = freq_ppm
+        self.phase_ppm = phase_ppm
+        self.freq_offset = freq_offset
+        self.phase_offset = phase_offset
+        self.use = use
+
+    def __eq__(self, other: object) -> bool:
+        return (
+            isinstance(other, RFEvent)
+            and self.id == other.id
+            and self.amp == other.amp
+            and self.mag_id == other.mag_id
+            and self.phase_id == other.phase_id
+            and self.time_id == other.time_id
+            and self.center == other.center
+            and self.delay == other.delay
+            and self.freq_ppm == other.freq_ppm
+            and self.phase_ppm == other.phase_ppm
+            and self.freq_offset == other.freq_offset
+            and self.phase_offset == other.phase_offset
+            and self.use == other.use
+        )
+
+    def __str__(self) -> str:
+        return f"RFEvent(id={self.id}, amp={self.amp}, mag_id={self.mag_id}, phase_id={self.phase_id}, time_id={self.time_id}, center={self.center}, delay={self.delay}, freq_ppm={self.freq_ppm}, phase_ppm={self.phase_ppm}, freq_offset={self.freq_offset}, phase_offset={self.phase_offset}, use={self.use})"
+
+    def __repr__(self) -> str:
+        return f"RFEvent(id={repr(self.id)}, amp={repr(self.amp)}, mag_id={repr(self.mag_id)}, phase_id={repr(self.phase_id)}, time_id={repr(self.time_id)}, center={repr(self.center)}, delay={repr(self.delay)}, freq_ppm={repr(self.freq_ppm)}, phase_ppm={repr(self.phase_ppm)}, freq_offset={repr(self.freq_offset)}, phase_offset={repr(self.phase_offset)}, use={repr(self.use)})"
+
+
+class ArbitraryGradient:
+    """An arbitrary gradient event"""
+
+    id: yardl.Int32
+    """ID of the gradient event. Must be unique among all arbitrary and trapezoidal gradient events."""
+
+    amp: yardl.Float64
+    """Peak amplitude in Hz/m"""
+
+    first: yardl.Float64
+    """The amplitude at the start of the gradient."""
+
+    last: yardl.Float64
+    """The amplitude at the end of the gradient."""
+
+    shape_id: yardl.Int32
+    """Shape ID for the gradient shape"""
+
+    time_id: yardl.Int32
+    """Shape ID for the time sampling points, specified in the units of GradientRasterTime.
+    0 means default time raster, -1 means 1/2 of the default time raster (gradient oversampling case).
+    """
+
+    delay: yardl.UInt64
+    """Delay before starting the gradient, specified in microseconds"""
+
+
+    def __init__(self, *,
+        id: yardl.Int32 = 0,
+        amp: yardl.Float64 = 0.0,
+        first: yardl.Float64 = 0.0,
+        last: yardl.Float64 = 0.0,
+        shape_id: yardl.Int32 = 0,
+        time_id: yardl.Int32 = 0,
+        delay: yardl.UInt64 = 0,
+    ):
+        self.id = id
+        self.amp = amp
+        self.first = first
+        self.last = last
+        self.shape_id = shape_id
+        self.time_id = time_id
+        self.delay = delay
+
+    def __eq__(self, other: object) -> bool:
+        return (
+            isinstance(other, ArbitraryGradient)
+            and self.id == other.id
+            and self.amp == other.amp
+            and self.first == other.first
+            and self.last == other.last
+            and self.shape_id == other.shape_id
+            and self.time_id == other.time_id
+            and self.delay == other.delay
+        )
+
+    def __str__(self) -> str:
+        return f"ArbitraryGradient(id={self.id}, amp={self.amp}, first={self.first}, last={self.last}, shape_id={self.shape_id}, time_id={self.time_id}, delay={self.delay})"
+
+    def __repr__(self) -> str:
+        return f"ArbitraryGradient(id={repr(self.id)}, amp={repr(self.amp)}, first={repr(self.first)}, last={repr(self.last)}, shape_id={repr(self.shape_id)}, time_id={repr(self.time_id)}, delay={repr(self.delay)})"
+
+
+class TrapezoidalGradient:
+    """A trapezoidal gradient event"""
+
+    id: yardl.Int32
+    """ID of the gradient event. Must be unique among all arbitrary and trapezoidal gradient events."""
+
+    amp: yardl.Float64
+    """Peak amplitude in Hz/m"""
+
+    rise: yardl.UInt64
+    """Rise time of the trapezoid in microseconds"""
+
+    flat: yardl.UInt64
+    """Flat-top time of the trapezoid in microseconds"""
+
+    fall: yardl.UInt64
+    """Fall time of the trapezoid in microseconds"""
+
+    delay: yardl.UInt64
+    """Delay before starting the gradient, specified in microseconds"""
+
+
+    def __init__(self, *,
+        id: yardl.Int32 = 0,
+        amp: yardl.Float64 = 0.0,
+        rise: yardl.UInt64 = 0,
+        flat: yardl.UInt64 = 0,
+        fall: yardl.UInt64 = 0,
+        delay: yardl.UInt64 = 0,
+    ):
+        self.id = id
+        self.amp = amp
+        self.rise = rise
+        self.flat = flat
+        self.fall = fall
+        self.delay = delay
+
+    def __eq__(self, other: object) -> bool:
+        return (
+            isinstance(other, TrapezoidalGradient)
+            and self.id == other.id
+            and self.amp == other.amp
+            and self.rise == other.rise
+            and self.flat == other.flat
+            and self.fall == other.fall
+            and self.delay == other.delay
+        )
+
+    def __str__(self) -> str:
+        return f"TrapezoidalGradient(id={self.id}, amp={self.amp}, rise={self.rise}, flat={self.flat}, fall={self.fall}, delay={self.delay})"
+
+    def __repr__(self) -> str:
+        return f"TrapezoidalGradient(id={repr(self.id)}, amp={repr(self.amp)}, rise={repr(self.rise)}, flat={repr(self.flat)}, fall={repr(self.fall)}, delay={repr(self.delay)})"
+
+
+class ADCEvent:
+    """An ADC event"""
+
+    id: yardl.Int32
+    """ID of the ADC event"""
+
+    num: yardl.UInt64
+    """Number of samples"""
+
+    dwell: yardl.Float32
+    """The ADC dwell time, specified in nanoseconds"""
+
+    delay: yardl.UInt64
+    """Delay between start of block and first sample, specified in microseconds"""
+
+    freq_ppm: yardl.Float64
+    """Frequency offset of the ADC receiver relative to the system frequency,
+    specified in parts per million (ppm)
+    """
+
+    phase_ppm: yardl.Float64
+    """Phase offset of the ADC receiver proportional to the system frequency,
+    specified in rad/MHz
+    """
+
+    freq: yardl.Float64
+    """Frequency offset of the ADC receiver in absolute units, specified in Hz"""
+
+    phase: yardl.Float64
+    """Phase offset in absolute units, specified in radians"""
+
+    phase_shape_id: yardl.Int32
+    """The shape ID"""
+
+
+    def __init__(self, *,
+        id: yardl.Int32 = 0,
+        num: yardl.UInt64 = 0,
+        dwell: yardl.Float32 = 0.0,
+        delay: yardl.UInt64 = 0,
+        freq_ppm: yardl.Float64 = 0.0,
+        phase_ppm: yardl.Float64 = 0.0,
+        freq: yardl.Float64 = 0.0,
+        phase: yardl.Float64 = 0.0,
+        phase_shape_id: yardl.Int32 = 0,
+    ):
+        self.id = id
+        self.num = num
+        self.dwell = dwell
+        self.delay = delay
+        self.freq_ppm = freq_ppm
+        self.phase_ppm = phase_ppm
+        self.freq = freq
+        self.phase = phase
+        self.phase_shape_id = phase_shape_id
+
+    def __eq__(self, other: object) -> bool:
+        return (
+            isinstance(other, ADCEvent)
+            and self.id == other.id
+            and self.num == other.num
+            and self.dwell == other.dwell
+            and self.delay == other.delay
+            and self.freq_ppm == other.freq_ppm
+            and self.phase_ppm == other.phase_ppm
+            and self.freq == other.freq
+            and self.phase == other.phase
+            and self.phase_shape_id == other.phase_shape_id
+        )
+
+    def __str__(self) -> str:
+        return f"ADCEvent(id={self.id}, num={self.num}, dwell={self.dwell}, delay={self.delay}, freq_ppm={self.freq_ppm}, phase_ppm={self.phase_ppm}, freq={self.freq}, phase={self.phase}, phase_shape_id={self.phase_shape_id})"
+
+    def __repr__(self) -> str:
+        return f"ADCEvent(id={repr(self.id)}, num={repr(self.num)}, dwell={repr(self.dwell)}, delay={repr(self.delay)}, freq_ppm={repr(self.freq_ppm)}, phase_ppm={repr(self.phase_ppm)}, freq={repr(self.freq)}, phase={repr(self.phase)}, phase_shape_id={repr(self.phase_shape_id)})"
+
+
+class Shape:
+    """A list of samples that is potentially compressed.
+    If numSamples == size(data) then the shape is uncompressed.
+    """
+
+    id: yardl.Int32
+    """ID of the shape"""
+
+    num_samples: yardl.UInt64
+    """Number of samples of the uncompressed shape"""
+
+    data: npt.NDArray[np.float64]
+    """Samples of the (potentially) compressed shape. See the Pulseq specification for compression details.
+    In the spec, this should be float32, but PyPulseq uses float64.
+    """
+
+
+    def __init__(self, *,
+        id: yardl.Int32 = 0,
+        num_samples: yardl.UInt64 = 0,
+        data: typing.Optional[npt.NDArray[np.float64]] = None,
+    ):
+        self.id = id
+        self.num_samples = num_samples
+        self.data = data if data is not None else np.zeros((0), dtype=np.dtype(np.float64))
+
+    def __eq__(self, other: object) -> bool:
+        return (
+            isinstance(other, Shape)
+            and self.id == other.id
+            and self.num_samples == other.num_samples
+            and yardl.structural_equal(self.data, other.data)
+        )
+
+    def __str__(self) -> str:
+        return f"Shape(id={self.id}, num_samples={self.num_samples}, data={self.data})"
+
+    def __repr__(self) -> str:
+        return f"Shape(id={repr(self.id)}, num_samples={repr(self.num_samples)}, data={repr(self.data)})"
+
+
 class StreamItem:
     Acquisition: typing.ClassVar[type["StreamItemUnionCase[Acquisition]"]]
+    AcquisitionPrototype: typing.ClassVar[type["StreamItemUnionCase[AcquisitionPrototype]"]]
     WaveformUint32: typing.ClassVar[type["StreamItemUnionCase[WaveformUint32]"]]
     ImageUint16: typing.ClassVar[type["StreamItemUnionCase[ImageUint16]"]]
     ImageInt16: typing.ClassVar[type["StreamItemUnionCase[ImageInt16]"]]
@@ -2103,34 +2616,50 @@ class StreamItem:
     ReconData: typing.ClassVar[type["StreamItemUnionCase[ReconData]"]]
     ArrayComplexFloat: typing.ClassVar[type["StreamItemUnionCase[ArrayComplexFloat]"]]
     ImageArray: typing.ClassVar[type["StreamItemUnionCase[ImageArray]"]]
+    PulseqDefinitions: typing.ClassVar[type["StreamItemUnionCase[PulseqDefinitions]"]]
+    Blocks: typing.ClassVar[type["StreamItemUnionCase[list[Block]]"]]
+    Rf: typing.ClassVar[type["StreamItemUnionCase[RFEvent]"]]
+    ArbitraryGradient: typing.ClassVar[type["StreamItemUnionCase[ArbitraryGradient]"]]
+    TrapezoidalGradient: typing.ClassVar[type["StreamItemUnionCase[TrapezoidalGradient]"]]
+    Adc: typing.ClassVar[type["StreamItemUnionCase[ADCEvent]"]]
+    Shape: typing.ClassVar[type["StreamItemUnionCase[Shape]"]]
 
 class StreamItemUnionCase(StreamItem, yardl.UnionCase[_T]):
     pass
 
-StreamItem.Acquisition = type("StreamItem.Acquisition", (StreamItemUnionCase,), {"index": 0, "tag": "Acquisition"})
-StreamItem.WaveformUint32 = type("StreamItem.WaveformUint32", (StreamItemUnionCase,), {"index": 1, "tag": "WaveformUint32"})
-StreamItem.ImageUint16 = type("StreamItem.ImageUint16", (StreamItemUnionCase,), {"index": 2, "tag": "ImageUint16"})
-StreamItem.ImageInt16 = type("StreamItem.ImageInt16", (StreamItemUnionCase,), {"index": 3, "tag": "ImageInt16"})
-StreamItem.ImageUint32 = type("StreamItem.ImageUint32", (StreamItemUnionCase,), {"index": 4, "tag": "ImageUint32"})
-StreamItem.ImageInt32 = type("StreamItem.ImageInt32", (StreamItemUnionCase,), {"index": 5, "tag": "ImageInt32"})
-StreamItem.ImageFloat = type("StreamItem.ImageFloat", (StreamItemUnionCase,), {"index": 6, "tag": "ImageFloat"})
-StreamItem.ImageDouble = type("StreamItem.ImageDouble", (StreamItemUnionCase,), {"index": 7, "tag": "ImageDouble"})
-StreamItem.ImageComplexFloat = type("StreamItem.ImageComplexFloat", (StreamItemUnionCase,), {"index": 8, "tag": "ImageComplexFloat"})
-StreamItem.ImageComplexDouble = type("StreamItem.ImageComplexDouble", (StreamItemUnionCase,), {"index": 9, "tag": "ImageComplexDouble"})
-StreamItem.AcquisitionBucket = type("StreamItem.AcquisitionBucket", (StreamItemUnionCase,), {"index": 10, "tag": "AcquisitionBucket"})
-StreamItem.ReconData = type("StreamItem.ReconData", (StreamItemUnionCase,), {"index": 11, "tag": "ReconData"})
-StreamItem.ArrayComplexFloat = type("StreamItem.ArrayComplexFloat", (StreamItemUnionCase,), {"index": 12, "tag": "ArrayComplexFloat"})
-StreamItem.ImageArray = type("StreamItem.ImageArray", (StreamItemUnionCase,), {"index": 13, "tag": "ImageArray"})
+StreamItem.Acquisition = type("StreamItem.Acquisition", (StreamItemUnionCase,), {"index": 0, "tag": "acquisition"})
+StreamItem.AcquisitionPrototype = type("StreamItem.AcquisitionPrototype", (StreamItemUnionCase,), {"index": 1, "tag": "acquisitionPrototype"})
+StreamItem.WaveformUint32 = type("StreamItem.WaveformUint32", (StreamItemUnionCase,), {"index": 2, "tag": "waveformUint32"})
+StreamItem.ImageUint16 = type("StreamItem.ImageUint16", (StreamItemUnionCase,), {"index": 3, "tag": "imageUint16"})
+StreamItem.ImageInt16 = type("StreamItem.ImageInt16", (StreamItemUnionCase,), {"index": 4, "tag": "imageInt16"})
+StreamItem.ImageUint32 = type("StreamItem.ImageUint32", (StreamItemUnionCase,), {"index": 5, "tag": "imageUint32"})
+StreamItem.ImageInt32 = type("StreamItem.ImageInt32", (StreamItemUnionCase,), {"index": 6, "tag": "imageInt32"})
+StreamItem.ImageFloat = type("StreamItem.ImageFloat", (StreamItemUnionCase,), {"index": 7, "tag": "imageFloat"})
+StreamItem.ImageDouble = type("StreamItem.ImageDouble", (StreamItemUnionCase,), {"index": 8, "tag": "imageDouble"})
+StreamItem.ImageComplexFloat = type("StreamItem.ImageComplexFloat", (StreamItemUnionCase,), {"index": 9, "tag": "imageComplexFloat"})
+StreamItem.ImageComplexDouble = type("StreamItem.ImageComplexDouble", (StreamItemUnionCase,), {"index": 10, "tag": "imageComplexDouble"})
+StreamItem.AcquisitionBucket = type("StreamItem.AcquisitionBucket", (StreamItemUnionCase,), {"index": 11, "tag": "acquisitionBucket"})
+StreamItem.ReconData = type("StreamItem.ReconData", (StreamItemUnionCase,), {"index": 12, "tag": "reconData"})
+StreamItem.ArrayComplexFloat = type("StreamItem.ArrayComplexFloat", (StreamItemUnionCase,), {"index": 13, "tag": "arrayComplexFloat"})
+StreamItem.ImageArray = type("StreamItem.ImageArray", (StreamItemUnionCase,), {"index": 14, "tag": "imageArray"})
+StreamItem.PulseqDefinitions = type("StreamItem.PulseqDefinitions", (StreamItemUnionCase,), {"index": 15, "tag": "pulseqDefinitions"})
+StreamItem.Blocks = type("StreamItem.Blocks", (StreamItemUnionCase,), {"index": 16, "tag": "blocks"})
+StreamItem.Rf = type("StreamItem.Rf", (StreamItemUnionCase,), {"index": 17, "tag": "rf"})
+StreamItem.ArbitraryGradient = type("StreamItem.ArbitraryGradient", (StreamItemUnionCase,), {"index": 18, "tag": "arbitraryGradient"})
+StreamItem.TrapezoidalGradient = type("StreamItem.TrapezoidalGradient", (StreamItemUnionCase,), {"index": 19, "tag": "trapezoidalGradient"})
+StreamItem.Adc = type("StreamItem.Adc", (StreamItemUnionCase,), {"index": 20, "tag": "adc"})
+StreamItem.Shape = type("StreamItem.Shape", (StreamItemUnionCase,), {"index": 21, "tag": "shape"})
 del StreamItemUnionCase
 
 def _mk_get_dtype():
-    dtype_map: dict[typing.Union[type, types.GenericAlias], typing.Union[np.dtype[typing.Any], typing.Callable[[tuple[type, ...]], np.dtype[typing.Any]]]] = {}
+    dtype_map: dict[typing.Union[type, types.GenericAlias, typing.Annotated[typing.Any, typing.Any]], typing.Union[np.dtype[typing.Any], typing.Callable[[tuple[type, ...]], np.dtype[typing.Any]]]] = {}
     get_dtype = _dtypes.make_get_dtype_func(dtype_map)
 
     dtype_map.setdefault(AcquisitionFlags, np.dtype(np.uint64))
     dtype_map.setdefault(EncodingCounters, np.dtype([('kspace_encode_step_1', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('kspace_encode_step_2', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('average', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('slice', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('contrast', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('phase', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('repetition', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('set', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('segment', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('user', np.dtype(np.object_))], align=True))
     dtype_map.setdefault(AcquisitionHeader, np.dtype([('flags', get_dtype(AcquisitionFlags)), ('idx', get_dtype(EncodingCounters)), ('measurement_uid', np.dtype(np.uint32)), ('scan_counter', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('acquisition_time_stamp_ns', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint64))], align=True)), ('physiology_time_stamp_ns', np.dtype(np.object_)), ('channel_order', np.dtype(np.object_)), ('discard_pre', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('discard_post', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('center_sample', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('encoding_space_ref', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint32))], align=True)), ('sample_time_ns', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.uint64))], align=True)), ('position', np.dtype(np.float32), (3,)), ('read_dir', np.dtype(np.float32), (3,)), ('phase_dir', np.dtype(np.float32), (3,)), ('slice_dir', np.dtype(np.float32), (3,)), ('patient_table_position', np.dtype(np.float32), (3,)), ('user_int', np.dtype(np.object_)), ('user_float', np.dtype(np.object_))], align=True))
     dtype_map.setdefault(Acquisition, np.dtype([('head', get_dtype(AcquisitionHeader)), ('data', np.dtype(np.object_)), ('trajectory', np.dtype(np.object_))], align=True))
+    dtype_map.setdefault(AcquisitionPrototype, np.dtype([('head', get_dtype(AcquisitionHeader)), ('data_sample_counts', np.dtype(np.object_))], align=True))
     dtype_map.setdefault(PatientGender, np.dtype(np.int32))
     dtype_map.setdefault(SubjectInformationType, np.dtype([('patient_name', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.object_))], align=True)), ('patient_weight_kg', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.float32))], align=True)), ('patient_height_m', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.float32))], align=True)), ('patient_id', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.object_))], align=True)), ('patient_birthdate', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.datetime64))], align=True)), ('patient_gender', np.dtype([('has_value', np.dtype(np.bool_)), ('value', get_dtype(PatientGender))], align=True))], align=True))
     dtype_map.setdefault(StudyInformationType, np.dtype([('study_date', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.datetime64))], align=True)), ('study_time', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.timedelta64))], align=True)), ('study_id', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.object_))], align=True)), ('accession_number', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.int64))], align=True)), ('referring_physician_name', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.object_))], align=True)), ('study_description', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.object_))], align=True)), ('study_instance_uid', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.object_))], align=True)), ('body_part_examined', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.object_))], align=True))], align=True))
@@ -2193,6 +2722,14 @@ def _mk_get_dtype():
     dtype_map.setdefault(ReconAssembly, np.dtype([('data', get_dtype(ReconBuffer)), ('ref', np.dtype([('has_value', np.dtype(np.bool_)), ('value', get_dtype(ReconBuffer))], align=True))], align=True))
     dtype_map.setdefault(ReconData, np.dtype([('buffers', np.dtype(np.object_))], align=True))
     dtype_map.setdefault(ImageArray, np.dtype([('data', np.dtype(np.object_)), ('headers', np.dtype(np.object_)), ('meta', np.dtype(np.object_)), ('waveforms', np.dtype(np.object_))], align=True))
+    dtype_map.setdefault(PulseqDefinitions, np.dtype([('gradient_raster_time', np.dtype(np.float64)), ('radiofrequency_raster_time', np.dtype(np.float64)), ('adc_raster_time', np.dtype(np.float64)), ('block_duration_raster', np.dtype(np.float64)), ('name', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.object_))], align=True)), ('fov', np.dtype([('has_value', np.dtype(np.bool_)), ('value', get_dtype(ThreeDimensionalFloat))], align=True)), ('total_duration', np.dtype([('has_value', np.dtype(np.bool_)), ('value', np.dtype(np.float64))], align=True)), ('custom', np.dtype(np.object_))], align=True))
+    dtype_map.setdefault(Block, np.dtype([('id', np.dtype(np.int32)), ('duration', np.dtype(np.uint64)), ('rf', np.dtype(np.int32)), ('gx', np.dtype(np.int32)), ('gy', np.dtype(np.int32)), ('gz', np.dtype(np.int32)), ('adc', np.dtype(np.int32)), ('ext', np.dtype(np.int32))], align=True))
+    dtype_map.setdefault(RFPulseUse, np.dtype(np.int32))
+    dtype_map.setdefault(RFEvent, np.dtype([('id', np.dtype(np.int32)), ('amp', np.dtype(np.float64)), ('mag_id', np.dtype(np.int32)), ('phase_id', np.dtype(np.int32)), ('time_id', np.dtype(np.int32)), ('center', np.dtype(np.float64)), ('delay', np.dtype(np.uint64)), ('freq_ppm', np.dtype(np.float64)), ('phase_ppm', np.dtype(np.float64)), ('freq_offset', np.dtype(np.float64)), ('phase_offset', np.dtype(np.float64)), ('use', get_dtype(RFPulseUse))], align=True))
+    dtype_map.setdefault(ArbitraryGradient, np.dtype([('id', np.dtype(np.int32)), ('amp', np.dtype(np.float64)), ('first', np.dtype(np.float64)), ('last', np.dtype(np.float64)), ('shape_id', np.dtype(np.int32)), ('time_id', np.dtype(np.int32)), ('delay', np.dtype(np.uint64))], align=True))
+    dtype_map.setdefault(TrapezoidalGradient, np.dtype([('id', np.dtype(np.int32)), ('amp', np.dtype(np.float64)), ('rise', np.dtype(np.uint64)), ('flat', np.dtype(np.uint64)), ('fall', np.dtype(np.uint64)), ('delay', np.dtype(np.uint64))], align=True))
+    dtype_map.setdefault(ADCEvent, np.dtype([('id', np.dtype(np.int32)), ('num', np.dtype(np.uint64)), ('dwell', np.dtype(np.float32)), ('delay', np.dtype(np.uint64)), ('freq_ppm', np.dtype(np.float64)), ('phase_ppm', np.dtype(np.float64)), ('freq', np.dtype(np.float64)), ('phase', np.dtype(np.float64)), ('phase_shape_id', np.dtype(np.int32))], align=True))
+    dtype_map.setdefault(Shape, np.dtype([('id', np.dtype(np.int32)), ('num_samples', np.dtype(np.uint64)), ('data', np.dtype(np.object_))], align=True))
     dtype_map.setdefault(StreamItem, np.dtype(np.object_))
 
     return get_dtype
diff --git a/python/mrd/yardl_types.py b/python/mrd/yardl_types.py
index 40693d23..019c5ca6 100644
--- a/python/mrd/yardl_types.py
+++ b/python/mrd/yardl_types.py
@@ -56,7 +56,7 @@ class DateTime:
     def __init__(self, nanoseconds_from_epoch: Union[int, np.datetime64] = 0):
         if isinstance(nanoseconds_from_epoch, np.datetime64):
             if nanoseconds_from_epoch.dtype != "datetime64[ns]":
-                self._value = np.datetime64(nanoseconds_from_epoch, "ns")
+                self._value = np.datetime64(nanoseconds_from_epoch, "ns")  # type: ignore
             else:
                 self._value = nanoseconds_from_epoch
         else:
@@ -67,7 +67,9 @@ def numpy_value(self) -> np.datetime64:
         return self._value
 
     def to_datetime(self) -> datetime.datetime:
-        return datetime.datetime.utcfromtimestamp(self._value.astype(int) / 1e9)
+        return datetime.datetime.fromtimestamp(
+            self._value.astype(int) / 1e9, tz=datetime.timezone.utc
+        )
 
     @staticmethod
     def from_components(
@@ -269,8 +271,7 @@ def structural_equal(a: object, b: object) -> bool:
         if not isinstance(b, np.void):
             return b == a
         return a.dtype == b.dtype and all(
-            structural_equal(x, y)
-            for x, y in zip(a, b)  # pyright: ignore [reportGeneralTypeIssues]
+            structural_equal(x, y) for x, y in zip(a, b)  # type: ignore
         )
 
     if isinstance(b, np.void):
diff --git a/test/test.sh b/test/test.sh
index 3f680304..009d8b36 100755
--- a/test/test.sh
+++ b/test/test.sh
@@ -56,5 +56,21 @@ python -m mrd.tools.stream_recon --input recon_in.pipe --output recon_out.pipe &
 python -m mrd.tools.export_png_images --input recon_out.pipe
 
 
+echo Verifying Pulseq conversion
+for dir in test_data/pulseq/*/; do
+  [[ -d "$dir" ]] || continue
+  pulseq_version=$(basename "$dir")
+  for file in "$dir"*; do
+    [[ -f "$file" ]] || continue
+    # convert to MRD stream and back, compare ignoring comments and whitespace
+    python -m mrd.tools.seq_to_mrd --input "$file" | python -m mrd.tools.mrd_to_seq --pulseq-version "$pulseq_version" | diff -I '#.*' --ignore-space-change "$file" -
+    if [[ "$pulseq_version" == "1.4.2" ]]; then
+      # Sanity check that PyPulseq can read the file
+      python -c "import pypulseq as pp; seq = pp.Sequence(); seq.read('$file')"
+    fi
+  done
+done
+
+
 echo Cleaning up
 rm -f ./*.bin ./*.png ./*.pipe
diff --git a/test/test_data/pulseq/1.4.2/example.seq b/test/test_data/pulseq/1.4.2/example.seq
new file mode 100644
index 00000000..184a2abf
--- /dev/null
+++ b/test/test_data/pulseq/1.4.2/example.seq
@@ -0,0 +1,63 @@
+# Pulseq sequence file
+# Created by MRD
+
+[VERSION]
+major 1
+minor 4
+revision 2
+
+[DEFINITIONS]
+AdcRasterTime 1e-07
+BlockDurationRaster 1e-05
+GradientRasterTime 1e-05
+RadiofrequencyRasterTime 1e-06
+FOV 0.256 0.256 0.004
+TotalDuration 0.0051
+CustomDefinition 42
+
+# Format of blocks:
+# NUM DUR RF  GX  GY  GZ  ADC  EXT
+[BLOCKS]
+1 100   1   0   0   0  0  0
+2  83   0   1   0   0  0  0
+3  54   0   0   2   0  0  0
+4  24   0   0   0   3  0  0
+5  83   0   4   5   0  0  0
+6  83   0   0   2   1  0  0
+7  83   0   4   0   1  0  0
+
+# Format of RF events:
+# id amplitude mag_id phase_id time_shape_id delay freq phase
+# ..        Hz   ....     ....          ....    us   Hz   rad
+[RF]
+1          125 1 2 3 0 0 0
+
+# Format of trapezoid gradients:
+# id amplitude rise flat fall delay
+# ..      Hz/m   us   us   us    us
+[TRAP]
+ 1  1.69492e+06 240  350 240   0
+ 2 -1.66667e+06 240   60 240   0
+ 3       833333 120    0 120   0
+ 4 -1.69492e+06 240  350 240   0
+ 5  1.66667e+06 240   60 240   0
+
+# Sequence Shapes
+[SHAPES]
+
+shape_id 1
+num_samples 2
+1
+1
+
+shape_id 2
+num_samples 2
+0
+0
+
+shape_id 3
+num_samples 2
+0
+1000
+
+# Comment added to ensure editors preserve the preceding blank line. Pypulseq hangs if it is not present.
diff --git a/test/test_data/pulseq/1.4.2/haste.seq b/test/test_data/pulseq/1.4.2/haste.seq
new file mode 100644
index 00000000..f1e5ff47
--- /dev/null
+++ b/test/test_data/pulseq/1.4.2/haste.seq
@@ -0,0 +1,4902 @@
+# Pulseq sequence file
+# Created by MRD
+
+[VERSION]
+major 1
+minor 4
+revision 2
+
+[DEFINITIONS]
+AdcRasterTime 1e-07
+BlockDurationRaster 1e-05
+GradientRasterTime 1e-05
+RadiofrequencyRasterTime 1e-06
+TotalDuration 7
+
+# Format of blocks:
+# NUM DUR RF  GX  GY  GZ  ADC  EXT
+[BLOCKS]
+  1  25   0   0   0   1  0  0
+  2 270   1   0   0   2  0  0
+  3 355   0   4   0   3  0  0
+  4 220   2   0   0   5  0  0
+  5 169   0   6   7   8  0  0
+  6 642   0   9   0   0  1  0
+  7 169   0  10  11  12  0  0
+  8 220   2   0   0   5  0  0
+  9 169   0   6  13   8  0  0
+ 10 642   0   9   0   0  1  0
+ 11 169   0  10  14  12  0  0
+ 12 220   2   0   0   5  0  0
+ 13 169   0   6  15   8  0  0
+ 14 642   0   9   0   0  1  0
+ 15 169   0  10  16  12  0  0
+ 16 220   2   0   0   5  0  0
+ 17 169   0   6  17   8  0  0
+ 18 642   0   9   0   0  1  0
+ 19 169   0  10  18  12  0  0
+ 20 220   2   0   0   5  0  0
+ 21 169   0   6  19   8  0  0
+ 22 642   0   9   0   0  1  0
+ 23 169   0  10  20  12  0  0
+ 24 220   2   0   0   5  0  0
+ 25 169   0   6  21   8  0  0
+ 26 642   0   9   0   0  1  0
+ 27 169   0  10  22  12  0  0
+ 28 220   2   0   0   5  0  0
+ 29 169   0   6  23   8  0  0
+ 30 642   0   9   0   0  1  0
+ 31 169   0  10  24  12  0  0
+ 32 220   2   0   0   5  0  0
+ 33 169   0   6  25   8  0  0
+ 34 642   0   9   0   0  1  0
+ 35 169   0  10  26  12  0  0
+ 36 220   2   0   0   5  0  0
+ 37 169   0   6  27   8  0  0
+ 38 642   0   9   0   0  1  0
+ 39 169   0  10  27  12  0  0
+ 40 220   2   0   0   5  0  0
+ 41 169   0   6  26   8  0  0
+ 42 642   0   9   0   0  1  0
+ 43 169   0  10  25  12  0  0
+ 44 220   2   0   0   5  0  0
+ 45 169   0   6  24   8  0  0
+ 46 642   0   9   0   0  1  0
+ 47 169   0  10  23  12  0  0
+ 48 220   2   0   0   5  0  0
+ 49 169   0   6  22   8  0  0
+ 50 642   0   9   0   0  1  0
+ 51 169   0  10  21  12  0  0
+ 52 220   2   0   0   5  0  0
+ 53 169   0   6  20   8  0  0
+ 54 642   0   9   0   0  1  0
+ 55 169   0  10  19  12  0  0
+ 56 220   2   0   0   5  0  0
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+
+# Format of RF events:
+# id amplitude mag_id phase_id time_shape_id delay freq phase
+# ..        Hz   ....     ....          ....    us   Hz   rad
+[RF]
+1      394.982 3 4 0 100 0 1.5708
+2      987.454 9 10 0 100 0 0
+
+# Format of arbitrary gradients:
+#   time_shape_id of 0 means default timing (stepping with grad_raster starting at 1/2 of grad_raster)
+# id amplitude amp_shape_id time_shape_id delay
+# ..      Hz/m       ..         ..          us
+[GRADIENTS]
+1       320000 1 2 0
+2       320000 5 6 0
+3       320000 7 8 0
+5       320000 5 11 0
+6       180372 12 13 0
+8       491667 14 13 0
+9      38940.8 5 15 0
+10       180372 16 13 0
+12       491667 17 13 0
+
+# Format of trapezoid gradients:
+# id amplitude rise flat fall delay
+# ..      Hz/m   us   us   us    us
+[TRAP]
+ 4       118061 250 3050 250   0
+ 7     -21701.4 250 1190 250   0
+11      21701.4 250 1190 250   0
+13     -18988.7 250 1190 250   0
+14      18988.7 250 1190 250   0
+15       -16276 250 1190 250   0
+16        16276 250 1190 250   0
+17     -13563.4 250 1190 250   0
+18      13563.4 250 1190 250   0
+19     -10850.7 250 1190 250   0
+20      10850.7 250 1190 250   0
+21     -8138.02 250 1190 250   0
+22      8138.02 250 1190 250   0
+23     -5425.35 250 1190 250   0
+24      5425.35 250 1190 250   0
+25     -2712.67 250 1190 250   0
+26      2712.67 250 1190 250   0
+27            0 250 1190 250   0
+28      24414.1 250 1190 250   0
+29     -24414.1 250 1190 250   0
+30      27126.7 250 1190 250   0
+31     -27126.7 250 1190 250   0
+32      29839.4 250 1190 250   0
+33     -29839.4 250 1190 250   0
+34      32552.1 250 1190 250   0
+35     -32552.1 250 1190 250   0
+36      35264.8 250 1190 250   0
+37     -35264.8 250 1190 250   0
+38      37977.4 250 1190 250   0
+39     -37977.4 250 1190 250   0
+40      40690.1 250 1190 250   0
+41     -40690.1 250 1190 250   0
+42      43402.8 250 1190 250   0
+43     -43402.8 250 1190 250   0
+44      46115.5 250 1190 250   0
+45     -46115.5 250 1190 250   0
+46      48828.1 250 1190 250   0
+47     -48828.1 250 1190 250   0
+48      51540.8 250 1190 250   0
+49     -51540.8 250 1190 250   0
+50      54253.5 250 1190 250   0
+51     -54253.5 250 1190 250   0
+52      56966.1 250 1190 250   0
+53     -56966.1 250 1190 250   0
+54      59678.8 250 1190 250   0
+55     -59678.8 250 1190 250   0
+56      62391.5 250 1190 250   0
+57     -62391.5 250 1190 250   0
+58      65104.2 250 1190 250   0
+59     -65104.2 250 1190 250   0
+60      67816.8 250 1190 250   0
+61     -67816.8 250 1190 250   0
+62      70529.5 250 1190 250   0
+63     -70529.5 250 1190 250   0
+64      73242.2 250 1190 250   0
+65     -73242.2 250 1190 250   0
+66      75954.9 250 1190 250   0
+67     -75954.9 250 1190 250   0
+68      78667.5 250 1190 250   0
+69     -78667.5 250 1190 250   0
+70      81380.2 250 1190 250   0
+71     -81380.2 250 1190 250   0
+72      84092.9 250 1190 250   0
+73     -84092.9 250 1190 250   0
+
+# Format of ADC events:
+# id num dwell delay freq phase
+# ..  ..    ns    us   Hz   rad
+[ADC]
+1 64 100000 10 0 0
+
+# Sequence Shapes
+[SHAPES]
+
+shape_id 1
+num_samples 2
+0
+1
+
+shape_id 2
+num_samples 2
+0
+25
+
+shape_id 3
+num_samples 2500
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+# Comment added to ensure editors preserve the preceding blank line. Pypulseq hangs if it is not present.
diff --git a/test/test_data/pulseq/1.5.0/gauss_pulses.seq b/test/test_data/pulseq/1.5.0/gauss_pulses.seq
new file mode 100644
index 00000000..d2edeb27
--- /dev/null
+++ b/test/test_data/pulseq/1.5.0/gauss_pulses.seq
@@ -0,0 +1,5074 @@
+# Pulseq sequence file
+# Created by MATLAB mr toolbox
+
+[VERSION]
+major 1
+minor 5
+revision 0
+
+[DEFINITIONS]
+AdcRasterTime 1e-07
+BlockDurationRaster 1e-05
+GradientRasterTime 1e-05
+RadiofrequencyRasterTime 1e-06
+
+# Format of blocks:
+# NUM DUR RF  GX  GY  GZ  ADC  EXT
+[BLOCKS]
+ 1 100   1   0   0   0  0  0
+ 2 100000   0   0   0   0  0  0
+ 3 200   2   0   0   0  0  0
+ 4 100000   0   0   0   0  0  0
+ 5 100   3   0   0   0  0  0
+ 6 100000   0   0   0   0  0  0
+ 7 100   3   0   0   0  0  0
+ 8 100000   0   0   0   0  0  0
+ 9 200   4   0   0   0  0  0
+10 100000   0   0   0   0  0  0
+11 100   5   0   0   0  0  0
+12 100000   0   0   0   0  0  0
+13 100   6   0   0   0  0  0
+14 100000   0   0   0   0  0  0
+15 100   7   0   0   0  0  0
+
+# Format of RF events:
+# id ampl. mag_id phase_id time_shape_id center delay freqPPM phasePPM freq phase use
+# ..   Hz      ..       ..            ..     us    us     ppm  rad/MHz   Hz   rad  ..
+# Field 'use' is the initial of: excitation refocusing inversion saturation preparation other undefined
+[RF]
+1      477.543 1 2 0 500 0 0 0 0 0 u
+2      477.543 1 2 0 500 1000 0 0 0 0 u
+3      750.122 1 2 0 500 0 0 0 0 0 u
+4      375.063 3 4 0 1000 0 0 0 0 1.5708 u
+5      750.122 1 2 0 500 0 0 0 1000 1.5708 u
+6      316.492 5 2 0 500 0 0 0 0 0 u
+7      772.873 6 2 0 500 0 0 0 0 0 u
+
+# Sequence Shapes
+[SHAPES]
+
+shape_id 1
+num_samples 1000
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+# Comment added to ensure editors preserve the preceding blank line. Pypulseq hangs if it is not present.
diff --git a/test/test_data/pulseq/1.5.0/sinc_pulses.seq b/test/test_data/pulseq/1.5.0/sinc_pulses.seq
new file mode 100644
index 00000000..1f2c69e7
--- /dev/null
+++ b/test/test_data/pulseq/1.5.0/sinc_pulses.seq
@@ -0,0 +1,5098 @@
+# Pulseq sequence file
+# Created by MATLAB mr toolbox
+
+[VERSION]
+major 1
+minor 5
+revision 0
+
+[DEFINITIONS]
+AdcRasterTime 1e-07
+BlockDurationRaster 1e-05
+GradientRasterTime 1e-05
+RadiofrequencyRasterTime 1e-06
+
+# Format of blocks:
+# NUM DUR RF  GX  GY  GZ  ADC  EXT
+[BLOCKS]
+ 1 100   1   0   0   0  0  0
+ 2 100000   0   0   0   0  0  0
+ 3 200   2   0   0   0  0  0
+ 4 100000   0   0   0   0  0  0
+ 5 100   3   0   0   0  0  0
+ 6 100000   0   0   0   0  0  0
+ 7 100   3   0   0   0  0  0
+ 8 100000   0   0   0   0  0  0
+ 9 200   4   0   0   0  0  0
+10 100000   0   0   0   0  0  0
+11 100   5   0   0   0  0  0
+12 100000   0   0   0   0  0  0
+13 100   6   0   0   0  0  0
+14 100000   0   0   0   0  0  0
+15 100   7   0   0   0  0  0
+
+# Format of RF events:
+# id ampl. mag_id phase_id time_shape_id center delay freqPPM phasePPM freq phase use
+# ..   Hz      ..       ..            ..     us    us     ppm  rad/MHz   Hz   rad  ..
+# Field 'use' is the initial of: excitation refocusing inversion saturation preparation other undefined
+[RF]
+1      705.139 1 2 0 500 0 0 0 0 0 u
+2      705.139 1 2 0 500 1000 0 0 0 0 u
+3      1107.63 1 2 0 500 0 0 0 0 0 u
+4      553.817 3 4 0 1000 0 0 0 0 1.5708 u
+5      1107.63 1 2 0 500 0 0 0 1000 1.5708 u
+6      286.482 5 6 0 500 0 0 0 0 0 u
+7      1081.31 7 2 0 500 0 0 0 0 0 u
+
+# Sequence Shapes
+[SHAPES]
+
+shape_id 1
+num_samples 1000
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