From 8a14a861f2eb06329c811c3e339100dca30e453d Mon Sep 17 00:00:00 2001
From: Runyang Xu <rx23@fsu.edu>
Date: Thu, 22 Jan 2026 18:35:34 -0500
Subject: [PATCH] improve the site

---
 docs/.doctrees/api/pyhazards.datasets.doctree |  Bin 143439 -> 73784 bytes
 docs/.doctrees/environment.pickle             |  Bin 290918 -> 266876 bytes
 docs/.doctrees/pyhazards_datasets.doctree     |  Bin 26269 -> 26344 bytes
 docs/_sources/pyhazards_datasets.rst.txt      |   13 +-
 docs/_static/pygments.css                     |  186 +--
 docs/api/pyhazards.datasets.html              |  263 +----
 docs/api/pyhazards.html                       |   59 +-
 docs/genindex.html                            |  103 +-
 docs/py-modindex.html                         |   18 -
 docs/pyhazards_datasets.html                  |   12 +-
 docs/source/pyhazards_datasets.rst            |   13 +-
 pyhazards/datasets/__init__.py                |    2 +
 pyhazards/datasets/inspection.py              | 1015 +++++++++++++++++
 13 files changed, 1055 insertions(+), 629 deletions(-)
 create mode 100644 pyhazards/datasets/inspection.py

diff --git a/docs/.doctrees/api/pyhazards.datasets.doctree b/docs/.doctrees/api/pyhazards.datasets.doctree
index 8b373eb4936821f78ee5bf00f4b534a58a492ed3..c2298d86208fda80f72bae852ee5c64a94a39c57 100644
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diff --git a/docs/.doctrees/environment.pickle b/docs/.doctrees/environment.pickle
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diff --git a/docs/_sources/pyhazards_datasets.rst.txt b/docs/_sources/pyhazards_datasets.rst.txt
index 8cb9e6b..25c2c38 100644
--- a/docs/_sources/pyhazards_datasets.rst.txt
+++ b/docs/_sources/pyhazards_datasets.rst.txt
@@ -21,7 +21,7 @@ Datasets
      - ECMWF ERA5 reanalysis served via the `Copernicus CDS <https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels?tab=overview>`_, providing hourly single-/pressure-level variables for benchmarks and hazard covariates; see `Hersbach et al. (2020) <https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.3803>`_.
 
    * - :doc:`noaa_flood <datasets/noaa_flood>`
-     - Flood-related event reports from the `NOAA Storm Events Database <https://www.ncei.noaa.gov/products/storm-events-database>_` (time, location, impacts), commonly used for event-level labeling and impact analysis; see `NCEI record <https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00648>`_(C00648).
+     - Flood-related event reports from the `NOAA Storm Events Database <https://www.ncei.noaa.gov/products/storm-events-database>`_ (time, location, impacts), commonly used for event-level labeling and impact analysis; see `NCEI record <https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00648>`_(C00648).
 
    * - :doc:`firms <datasets/firms>`
      - Near-real-time active fire detections from `NASA FIRMS <https://firms.modaps.eosdis.nasa.gov/>`_ (MODIS/VIIRS), used for operational monitoring and as wildfire occurrence labels; see `Schroeder et al. (2014) <https://doi.org/10.1016/j.rse.2013.08.008>`_.
@@ -47,17 +47,10 @@ quickly explore dataset structure and contents through a unified API.
 The example below demonstrates how to inspect a daily MERRA-2 file using
 the PyHazards dataset interface.
 
-.. code-block:: python
-
-   import pyhazards
+.. code-block:: bash
 
-   dataset = pyhazards.datasets.MERRA2(
-       root="/path/to/merra2",
-       start_date="2024-01-01",
-       end_date="2024-01-31",
-   )
+   python -m pyhazards.datasets.inspection --root /path/to/Prithvi-WxC/data/merra-2 --day 2024-01-01
 
-   dataset.inspect(day="2024-01-01")
 
 Core classes
 ------------
diff --git a/docs/_static/pygments.css b/docs/_static/pygments.css
index f71bfbf..041d38c 100644
--- a/docs/_static/pygments.css
+++ b/docs/_static/pygments.css
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-.highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+pre { line-height: 125%; }
+td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
 .highlight .hll { background-color: #ffffcc }
 .highlight { background: #f8f8f8; }
 .highlight .c { color: #8F5902; font-style: italic } /* Comment */
@@ -81,178 +81,4 @@
 .highlight .vg { color: #000 } /* Name.Variable.Global */
 .highlight .vi { color: #000 } /* Name.Variable.Instance */
 .highlight .vm { color: #000 } /* Name.Variable.Magic */
-.highlight .il { color: #0000CF; font-weight: bold } /* Literal.Number.Integer.Long */
-@media not print {
-body[data-theme="dark"] .highlight pre { line-height: 125%; }
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diff --git a/docs/api/pyhazards.datasets.html b/docs/api/pyhazards.datasets.html
index ffa2e1b..1fd913d 100644
--- a/docs/api/pyhazards.datasets.html
+++ b/docs/api/pyhazards.datasets.html
@@ -207,17 +207,7 @@
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API Reference</span></p>
 <ul>
-<li class="toctree-l1 has-children"><a class="reference internal" href="../pyhazards_datasets.html">Datasets</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of Datasets</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/merra2.html">MERRA-2</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/era5.html">ERA5</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/noaa_flood.html">NOAA Flood Events</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/firms.html">FIRMS</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/mtbs.html">MTBS</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/landfire.html">LANDFIRE</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/wfigs.html">WFIGS</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/goesr.html">GOES-R</a></li>
-</ul>
-</li>
+<li class="toctree-l1"><a class="reference internal" href="../pyhazards_datasets.html">Datasets</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../pyhazards_models.html">Models</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../pyhazards_engine.html">Engine</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../pyhazards_metrics.html">Metrics</a></li>
@@ -470,206 +460,14 @@ <h2>Submodules<a class="headerlink" href="#submodules" title="Link to this headi
 </dd></dl>
 
 </section>
-<section id="module-pyhazards.datasets.transforms">
-<span id="pyhazards-datasets-transforms-package"></span><h2>pyhazards.datasets.transforms package<a class="headerlink" href="#module-pyhazards.datasets.transforms" title="Link to this heading">¶</a></h2>
-<p>Reusable transforms for preprocessing hazard datasets.
-Currently placeholders; implement normalization, index computation, temporal windowing, etc.</p>
+<section id="pyhazards-datasets-transforms-package">
+<h2>pyhazards.datasets.transforms package<a class="headerlink" href="#pyhazards-datasets-transforms-package" title="Link to this heading">¶</a></h2>
 </section>
-<section id="module-pyhazards.datasets.hazards">
-<span id="pyhazards-datasets-hazards-package"></span><h2>pyhazards.datasets.hazards package<a class="headerlink" href="#module-pyhazards.datasets.hazards" title="Link to this heading">¶</a></h2>
-<p>Namespace for hazard-specific dataset loaders (earthquake, wildfire, flood, hurricane, landslide, etc.).
-Populate with concrete Dataset subclasses and register them in pyhazards.datasets.registry.</p>
+<section id="pyhazards-datasets-hazards-package">
+<h2>pyhazards.datasets.hazards package<a class="headerlink" href="#pyhazards-datasets-hazards-package" title="Link to this heading">¶</a></h2>
 </section>
-<section id="module-pyhazards.datasets">
-<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-pyhazards.datasets" title="Link to this heading">¶</a></h2>
-<dl class="py class">
-<dt class="sig sig-object py" id="pyhazards.datasets.DataBundle">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyhazards.datasets.</span></span><span class="sig-name descname"><span class="pre">DataBundle</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">splits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">feature_spec</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_spec</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata=&lt;factory&gt;</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/base.html#DataBundle"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.DataBundle" title="Link to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<p>Bundle of train/val/test splits plus metadata.
-Keeps feature/label specs to make model construction easy.</p>
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.DataBundle.feature_spec">
-<span class="sig-name descname"><span class="pre">feature_spec</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#pyhazards.datasets.base.FeatureSpec" title="pyhazards.datasets.base.FeatureSpec"><code class="xref py py-class docutils literal notranslate"><span class="pre">FeatureSpec</span></code></a></em><a class="headerlink" href="#pyhazards.datasets.DataBundle.feature_spec" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="pyhazards.datasets.DataBundle.get_split">
-<span class="sig-name descname"><span class="pre">get_split</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/base.html#DataBundle.get_split"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.DataBundle.get_split" title="Link to this definition">¶</a></dt>
-<dd><dl class="field-list simple">
-<dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><span class="sphinx_autodoc_typehints-type"><a class="reference internal" href="#pyhazards.datasets.base.DataSplit" title="pyhazards.datasets.base.DataSplit"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSplit</span></code></a></span></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.DataBundle.label_spec">
-<span class="sig-name descname"><span class="pre">label_spec</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><a class="reference internal" href="#pyhazards.datasets.base.LabelSpec" title="pyhazards.datasets.base.LabelSpec"><code class="xref py py-class docutils literal notranslate"><span class="pre">LabelSpec</span></code></a></em><a class="headerlink" href="#pyhazards.datasets.DataBundle.label_spec" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.DataBundle.metadata">
-<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code><span class="pre">[</span><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code><span class="pre">,</span> <code class="xref py py-data docutils literal notranslate"><span class="pre">Any</span></code><span class="pre">]</span></em><a class="headerlink" href="#pyhazards.datasets.DataBundle.metadata" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.DataBundle.splits">
-<span class="sig-name descname"><span class="pre">splits</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code><span class="pre">[</span><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code><span class="pre">,</span> <a class="reference internal" href="#pyhazards.datasets.base.DataSplit" title="pyhazards.datasets.base.DataSplit"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataSplit</span></code></a><span class="pre">]</span></em><a class="headerlink" href="#pyhazards.datasets.DataBundle.splits" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="pyhazards.datasets.DataSplit">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyhazards.datasets.</span></span><span class="sig-name descname"><span class="pre">DataSplit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">metadata=&lt;factory&gt;</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/base.html#DataSplit"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.DataSplit" title="Link to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<p>Container for a single split.</p>
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.DataSplit.inputs">
-<span class="sig-name descname"><span class="pre">inputs</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-data docutils literal notranslate"><span class="pre">Any</span></code></em><a class="headerlink" href="#pyhazards.datasets.DataSplit.inputs" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.DataSplit.metadata">
-<span class="sig-name descname"><span class="pre">metadata</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code><span class="pre">[</span><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code><span class="pre">,</span> <code class="xref py py-data docutils literal notranslate"><span class="pre">Any</span></code><span class="pre">]</span></em><a class="headerlink" href="#pyhazards.datasets.DataSplit.metadata" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.DataSplit.targets">
-<span class="sig-name descname"><span class="pre">targets</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-data docutils literal notranslate"><span class="pre">Any</span></code></em><a class="headerlink" href="#pyhazards.datasets.DataSplit.targets" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="pyhazards.datasets.Dataset">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyhazards.datasets.</span></span><span class="sig-name descname"><span class="pre">Dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">cache_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/base.html#Dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.Dataset" title="Link to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<p>Base class for hazard datasets.
-Subclasses should load data and return a DataBundle with splits ready for training.</p>
-<dl class="py method">
-<dt class="sig sig-object py" id="pyhazards.datasets.Dataset._load">
-<span class="sig-name descname"><span class="pre">_load</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/base.html#Dataset._load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.Dataset._load" title="Link to this definition">¶</a></dt>
-<dd><dl class="field-list simple">
-<dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><span class="sphinx_autodoc_typehints-type"><a class="reference internal" href="#pyhazards.datasets.base.DataBundle" title="pyhazards.datasets.base.DataBundle"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataBundle</span></code></a></span></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="py method">
-<dt class="sig sig-object py" id="pyhazards.datasets.Dataset.load">
-<span class="sig-name descname"><span class="pre">load</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">split</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transforms</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/base.html#Dataset.load"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.Dataset.load" title="Link to this definition">¶</a></dt>
-<dd><p>Return a DataBundle. Optionally return a specific split if provided.</p>
-<dl class="field-list simple">
-<dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><span class="sphinx_autodoc_typehints-type"><a class="reference internal" href="#pyhazards.datasets.base.DataBundle" title="pyhazards.datasets.base.DataBundle"><code class="xref py py-class docutils literal notranslate"><span class="pre">DataBundle</span></code></a></span></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.Dataset.name">
-<span class="sig-name descname"><span class="pre">name</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'base'</span></em><a class="headerlink" href="#pyhazards.datasets.Dataset.name" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="pyhazards.datasets.FeatureSpec">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyhazards.datasets.</span></span><span class="sig-name descname"><span class="pre">FeatureSpec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input_dim=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">channels=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">description=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra=&lt;factory&gt;</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/base.html#FeatureSpec"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.FeatureSpec" title="Link to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<p>Describes input features (shapes, dtypes, normalization).</p>
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.FeatureSpec.channels">
-<span class="sig-name descname"><span class="pre">channels</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code><span class="pre">[</span><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code><span class="pre">]</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#pyhazards.datasets.FeatureSpec.channels" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.FeatureSpec.description">
-<span class="sig-name descname"><span class="pre">description</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code><span class="pre">[</span><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code><span class="pre">]</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#pyhazards.datasets.FeatureSpec.description" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.FeatureSpec.extra">
-<span class="sig-name descname"><span class="pre">extra</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code><span class="pre">[</span><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code><span class="pre">,</span> <code class="xref py py-data docutils literal notranslate"><span class="pre">Any</span></code><span class="pre">]</span></em><a class="headerlink" href="#pyhazards.datasets.FeatureSpec.extra" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.FeatureSpec.input_dim">
-<span class="sig-name descname"><span class="pre">input_dim</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code><span class="pre">[</span><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code><span class="pre">]</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#pyhazards.datasets.FeatureSpec.input_dim" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="pyhazards.datasets.GraphTemporalDataset">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyhazards.datasets.</span></span><span class="sig-name descname"><span class="pre">GraphTemporalDataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adjacency</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/graph.html#GraphTemporalDataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.GraphTemporalDataset" title="Link to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">Dataset</span></code></p>
-<p>Simple container for county/day style tensors with an optional adjacency.</p>
-<p>Each sample is a window of shape (past_days, num_counties, num_features) and a label
-of shape (num_counties,).</p>
-</dd></dl>
-
-<dl class="py class">
-<dt class="sig sig-object py" id="pyhazards.datasets.LabelSpec">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">pyhazards.datasets.</span></span><span class="sig-name descname"><span class="pre">LabelSpec</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_targets=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">task_type='regression'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">description=None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">extra=&lt;factory&gt;</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/base.html#LabelSpec"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.LabelSpec" title="Link to this definition">¶</a></dt>
-<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
-<p>Describes labels/targets for downstream tasks.</p>
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.LabelSpec.description">
-<span class="sig-name descname"><span class="pre">description</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code><span class="pre">[</span><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code><span class="pre">]</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#pyhazards.datasets.LabelSpec.description" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.LabelSpec.extra">
-<span class="sig-name descname"><span class="pre">extra</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code><span class="pre">[</span><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code><span class="pre">,</span> <code class="xref py py-data docutils literal notranslate"><span class="pre">Any</span></code><span class="pre">]</span></em><a class="headerlink" href="#pyhazards.datasets.LabelSpec.extra" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.LabelSpec.num_targets">
-<span class="sig-name descname"><span class="pre">num_targets</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code><span class="pre">[</span><code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code><span class="pre">]</span></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">None</span></em><a class="headerlink" href="#pyhazards.datasets.LabelSpec.num_targets" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py attribute">
-<dt class="sig sig-object py" id="pyhazards.datasets.LabelSpec.task_type">
-<span class="sig-name descname"><span class="pre">task_type</span></span><em class="property"><span class="p"><span class="pre">:</span></span><span class="w"> </span><code class="xref py py-class docutils literal notranslate"><span class="pre">str</span></code></em><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">'regression'</span></em><a class="headerlink" href="#pyhazards.datasets.LabelSpec.task_type" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-</dd></dl>
-
-<dl class="py function">
-<dt class="sig sig-object py" id="pyhazards.datasets.available_datasets">
-<span class="sig-prename descclassname"><span class="pre">pyhazards.datasets.</span></span><span class="sig-name descname"><span class="pre">available_datasets</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/registry.html#available_datasets"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.available_datasets" title="Link to this definition">¶</a></dt>
-<dd></dd></dl>
-
-<dl class="py function">
-<dt class="sig sig-object py" id="pyhazards.datasets.graph_collate">
-<span class="sig-prename descclassname"><span class="pre">pyhazards.datasets.</span></span><span class="sig-name descname"><span class="pre">graph_collate</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/graph.html#graph_collate"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.graph_collate" title="Link to this definition">¶</a></dt>
-<dd><p>Collate function that stacks x and adjacency if provided.</p>
-</dd></dl>
-
-<dl class="py function">
-<dt class="sig sig-object py" id="pyhazards.datasets.load_dataset">
-<span class="sig-prename descclassname"><span class="pre">pyhazards.datasets.</span></span><span class="sig-name descname"><span class="pre">load_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/registry.html#load_dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.load_dataset" title="Link to this definition">¶</a></dt>
-<dd><dl class="field-list simple">
-<dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><span class="sphinx_autodoc_typehints-type"><a class="reference internal" href="#pyhazards.datasets.base.Dataset" title="pyhazards.datasets.base.Dataset"><code class="xref py py-class docutils literal notranslate"><span class="pre">Dataset</span></code></a></span></p>
-</dd>
-</dl>
-</dd></dl>
-
-<dl class="py function">
-<dt class="sig sig-object py" id="pyhazards.datasets.register_dataset">
-<span class="sig-prename descclassname"><span class="pre">pyhazards.datasets.</span></span><span class="sig-name descname"><span class="pre">register_dataset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">builder</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/pyhazards/datasets/registry.html#register_dataset"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#pyhazards.datasets.register_dataset" title="Link to this definition">¶</a></dt>
-<dd><dl class="field-list simple">
-<dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><span class="sphinx_autodoc_typehints-type"><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></span></p>
-</dd>
-</dl>
-</dd></dl>
-
+<section id="module-contents">
+<h2>Module contents<a class="headerlink" href="#module-contents" title="Link to this heading">¶</a></h2>
 </section>
 </section>
 
@@ -760,50 +558,9 @@ <h2>Submodules<a class="headerlink" href="#submodules" title="Link to this headi
 <li><a class="reference internal" href="#pyhazards.datasets.registry.register_dataset"><code class="docutils literal notranslate"><span class="pre">register_dataset()</span></code></a></li>
 </ul>
 </li>
-<li><a class="reference internal" href="#module-pyhazards.datasets.transforms">pyhazards.datasets.transforms package</a></li>
-<li><a class="reference internal" href="#module-pyhazards.datasets.hazards">pyhazards.datasets.hazards package</a></li>
-<li><a class="reference internal" href="#module-pyhazards.datasets">Module contents</a><ul>
-<li><a class="reference internal" href="#pyhazards.datasets.DataBundle"><code class="docutils literal notranslate"><span class="pre">DataBundle</span></code></a><ul>
-<li><a class="reference internal" href="#pyhazards.datasets.DataBundle.feature_spec"><code class="docutils literal notranslate"><span class="pre">DataBundle.feature_spec</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.DataBundle.get_split"><code class="docutils literal notranslate"><span class="pre">DataBundle.get_split()</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.DataBundle.label_spec"><code class="docutils literal notranslate"><span class="pre">DataBundle.label_spec</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.DataBundle.metadata"><code class="docutils literal notranslate"><span class="pre">DataBundle.metadata</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.DataBundle.splits"><code class="docutils literal notranslate"><span class="pre">DataBundle.splits</span></code></a></li>
-</ul>
-</li>
-<li><a class="reference internal" href="#pyhazards.datasets.DataSplit"><code class="docutils literal notranslate"><span class="pre">DataSplit</span></code></a><ul>
-<li><a class="reference internal" href="#pyhazards.datasets.DataSplit.inputs"><code class="docutils literal notranslate"><span class="pre">DataSplit.inputs</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.DataSplit.metadata"><code class="docutils literal notranslate"><span class="pre">DataSplit.metadata</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.DataSplit.targets"><code class="docutils literal notranslate"><span class="pre">DataSplit.targets</span></code></a></li>
-</ul>
-</li>
-<li><a class="reference internal" href="#pyhazards.datasets.Dataset"><code class="docutils literal notranslate"><span class="pre">Dataset</span></code></a><ul>
-<li><a class="reference internal" href="#pyhazards.datasets.Dataset._load"><code class="docutils literal notranslate"><span class="pre">Dataset._load()</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.Dataset.load"><code class="docutils literal notranslate"><span class="pre">Dataset.load()</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.Dataset.name"><code class="docutils literal notranslate"><span class="pre">Dataset.name</span></code></a></li>
-</ul>
-</li>
-<li><a class="reference internal" href="#pyhazards.datasets.FeatureSpec"><code class="docutils literal notranslate"><span class="pre">FeatureSpec</span></code></a><ul>
-<li><a class="reference internal" href="#pyhazards.datasets.FeatureSpec.channels"><code class="docutils literal notranslate"><span class="pre">FeatureSpec.channels</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.FeatureSpec.description"><code class="docutils literal notranslate"><span class="pre">FeatureSpec.description</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.FeatureSpec.extra"><code class="docutils literal notranslate"><span class="pre">FeatureSpec.extra</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.FeatureSpec.input_dim"><code class="docutils literal notranslate"><span class="pre">FeatureSpec.input_dim</span></code></a></li>
-</ul>
-</li>
-<li><a class="reference internal" href="#pyhazards.datasets.GraphTemporalDataset"><code class="docutils literal notranslate"><span class="pre">GraphTemporalDataset</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.LabelSpec"><code class="docutils literal notranslate"><span class="pre">LabelSpec</span></code></a><ul>
-<li><a class="reference internal" href="#pyhazards.datasets.LabelSpec.description"><code class="docutils literal notranslate"><span class="pre">LabelSpec.description</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.LabelSpec.extra"><code class="docutils literal notranslate"><span class="pre">LabelSpec.extra</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.LabelSpec.num_targets"><code class="docutils literal notranslate"><span class="pre">LabelSpec.num_targets</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.LabelSpec.task_type"><code class="docutils literal notranslate"><span class="pre">LabelSpec.task_type</span></code></a></li>
-</ul>
-</li>
-<li><a class="reference internal" href="#pyhazards.datasets.available_datasets"><code class="docutils literal notranslate"><span class="pre">available_datasets()</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.graph_collate"><code class="docutils literal notranslate"><span class="pre">graph_collate()</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.load_dataset"><code class="docutils literal notranslate"><span class="pre">load_dataset()</span></code></a></li>
-<li><a class="reference internal" href="#pyhazards.datasets.register_dataset"><code class="docutils literal notranslate"><span class="pre">register_dataset()</span></code></a></li>
-</ul>
-</li>
+<li><a class="reference internal" href="#pyhazards-datasets-transforms-package">pyhazards.datasets.transforms package</a></li>
+<li><a class="reference internal" href="#pyhazards-datasets-hazards-package">pyhazards.datasets.hazards package</a></li>
+<li><a class="reference internal" href="#module-contents">Module contents</a></li>
 </ul>
 </li>
 </ul>
diff --git a/docs/api/pyhazards.html b/docs/api/pyhazards.html
index 70f1053..7562793 100644
--- a/docs/api/pyhazards.html
+++ b/docs/api/pyhazards.html
@@ -207,17 +207,7 @@
 </ul>
 <p class="caption" role="heading"><span class="caption-text">API Reference</span></p>
 <ul>
-<li class="toctree-l1 has-children"><a class="reference internal" href="../pyhazards_datasets.html">Datasets</a><input class="toctree-checkbox" id="toctree-checkbox-1" name="toctree-checkbox-1" role="switch" type="checkbox"/><label for="toctree-checkbox-1"><div class="visually-hidden">Toggle navigation of Datasets</div><i class="icon"><svg><use href="#svg-arrow-right"></use></svg></i></label><ul>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/merra2.html">MERRA-2</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/era5.html">ERA5</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/noaa_flood.html">NOAA Flood Events</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/firms.html">FIRMS</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/mtbs.html">MTBS</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/landfire.html">LANDFIRE</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/wfigs.html">WFIGS</a></li>
-<li class="toctree-l2"><a class="reference internal" href="../datasets/goesr.html">GOES-R</a></li>
-</ul>
-</li>
+<li class="toctree-l1"><a class="reference internal" href="../pyhazards_datasets.html">Datasets</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../pyhazards_models.html">Models</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../pyhazards_engine.html">Engine</a></li>
 <li class="toctree-l1"><a class="reference internal" href="../pyhazards_metrics.html">Metrics</a></li>
@@ -325,50 +315,9 @@ <h2>Subpackages<a class="headerlink" href="#subpackages" title="Link to this hea
 <li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.registry.register_dataset"><code class="docutils literal notranslate"><span class="pre">register_dataset()</span></code></a></li>
 </ul>
 </li>
-<li class="toctree-l2"><a class="reference internal" href="pyhazards.datasets.html#module-pyhazards.datasets.transforms">pyhazards.datasets.transforms package</a></li>
-<li class="toctree-l2"><a class="reference internal" href="pyhazards.datasets.html#module-pyhazards.datasets.hazards">pyhazards.datasets.hazards package</a></li>
-<li class="toctree-l2"><a class="reference internal" href="pyhazards.datasets.html#module-pyhazards.datasets">Module contents</a><ul>
-<li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.DataBundle"><code class="docutils literal notranslate"><span class="pre">DataBundle</span></code></a><ul>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.DataBundle.feature_spec"><code class="docutils literal notranslate"><span class="pre">DataBundle.feature_spec</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.DataBundle.get_split"><code class="docutils literal notranslate"><span class="pre">DataBundle.get_split()</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.DataBundle.label_spec"><code class="docutils literal notranslate"><span class="pre">DataBundle.label_spec</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.DataBundle.metadata"><code class="docutils literal notranslate"><span class="pre">DataBundle.metadata</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.DataBundle.splits"><code class="docutils literal notranslate"><span class="pre">DataBundle.splits</span></code></a></li>
-</ul>
-</li>
-<li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.DataSplit"><code class="docutils literal notranslate"><span class="pre">DataSplit</span></code></a><ul>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.DataSplit.inputs"><code class="docutils literal notranslate"><span class="pre">DataSplit.inputs</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.DataSplit.metadata"><code class="docutils literal notranslate"><span class="pre">DataSplit.metadata</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.DataSplit.targets"><code class="docutils literal notranslate"><span class="pre">DataSplit.targets</span></code></a></li>
-</ul>
-</li>
-<li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.Dataset"><code class="docutils literal notranslate"><span class="pre">Dataset</span></code></a><ul>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.Dataset._load"><code class="docutils literal notranslate"><span class="pre">Dataset._load()</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.Dataset.load"><code class="docutils literal notranslate"><span class="pre">Dataset.load()</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.Dataset.name"><code class="docutils literal notranslate"><span class="pre">Dataset.name</span></code></a></li>
-</ul>
-</li>
-<li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.FeatureSpec"><code class="docutils literal notranslate"><span class="pre">FeatureSpec</span></code></a><ul>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.FeatureSpec.channels"><code class="docutils literal notranslate"><span class="pre">FeatureSpec.channels</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.FeatureSpec.description"><code class="docutils literal notranslate"><span class="pre">FeatureSpec.description</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.FeatureSpec.extra"><code class="docutils literal notranslate"><span class="pre">FeatureSpec.extra</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.FeatureSpec.input_dim"><code class="docutils literal notranslate"><span class="pre">FeatureSpec.input_dim</span></code></a></li>
-</ul>
-</li>
-<li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.GraphTemporalDataset"><code class="docutils literal notranslate"><span class="pre">GraphTemporalDataset</span></code></a></li>
-<li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.LabelSpec"><code class="docutils literal notranslate"><span class="pre">LabelSpec</span></code></a><ul>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.LabelSpec.description"><code class="docutils literal notranslate"><span class="pre">LabelSpec.description</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.LabelSpec.extra"><code class="docutils literal notranslate"><span class="pre">LabelSpec.extra</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.LabelSpec.num_targets"><code class="docutils literal notranslate"><span class="pre">LabelSpec.num_targets</span></code></a></li>
-<li class="toctree-l4"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.LabelSpec.task_type"><code class="docutils literal notranslate"><span class="pre">LabelSpec.task_type</span></code></a></li>
-</ul>
-</li>
-<li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.available_datasets"><code class="docutils literal notranslate"><span class="pre">available_datasets()</span></code></a></li>
-<li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.graph_collate"><code class="docutils literal notranslate"><span class="pre">graph_collate()</span></code></a></li>
-<li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.load_dataset"><code class="docutils literal notranslate"><span class="pre">load_dataset()</span></code></a></li>
-<li class="toctree-l3"><a class="reference internal" href="pyhazards.datasets.html#pyhazards.datasets.register_dataset"><code class="docutils literal notranslate"><span class="pre">register_dataset()</span></code></a></li>
-</ul>
-</li>
+<li class="toctree-l2"><a class="reference internal" href="pyhazards.datasets.html#pyhazards-datasets-transforms-package">pyhazards.datasets.transforms package</a></li>
+<li class="toctree-l2"><a class="reference internal" href="pyhazards.datasets.html#pyhazards-datasets-hazards-package">pyhazards.datasets.hazards package</a></li>
+<li class="toctree-l2"><a class="reference internal" href="pyhazards.datasets.html#module-contents">Module contents</a></li>
 </ul>
 </li>
 <li class="toctree-l1"><a class="reference internal" href="pyhazards.models.html">pyhazards.models package</a><ul>
diff --git a/docs/genindex.html b/docs/genindex.html
index b4a923c..4b26af9 100644
--- a/docs/genindex.html
+++ b/docs/genindex.html
@@ -290,8 +290,6 @@ <h2>_</h2>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.Dataset._load">(pyhazards.datasets.base.Dataset method)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.Dataset._load">(pyhazards.datasets.Dataset method)</a>
 </li>
         </ul></li>
         <li><a href="api/pyhazards.engine.html#pyhazards.engine.Trainer._make_loader">_make_loader() (pyhazards.engine.Trainer method)</a>
@@ -329,8 +327,6 @@ <h2>A</h2>
         <li><a href="api/pyhazards.html#pyhazards.available_datasets">available_datasets() (in module pyhazards)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.available_datasets">(in module pyhazards.datasets)</a>
-</li>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.registry.available_datasets">(in module pyhazards.datasets.registry)</a>
 </li>
         </ul></li>
@@ -371,8 +367,6 @@ <h2>C</h2>
         <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.FeatureSpec.channels">channels (pyhazards.datasets.base.FeatureSpec attribute)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.FeatureSpec.channels">(pyhazards.datasets.FeatureSpec attribute)</a>
-</li>
           <li><a href="api/pyhazards.html#pyhazards.FeatureSpec.channels">(pyhazards.FeatureSpec attribute)</a>
 </li>
         </ul></li>
@@ -431,24 +425,18 @@ <h2>D</h2>
         <li><a href="api/pyhazards.html#pyhazards.DataBundle">DataBundle (class in pyhazards)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.DataBundle">(class in pyhazards.datasets)</a>
-</li>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.DataBundle">(class in pyhazards.datasets.base)</a>
 </li>
         </ul></li>
         <li><a href="api/pyhazards.html#pyhazards.Dataset">Dataset (class in pyhazards)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.Dataset">(class in pyhazards.datasets)</a>
-</li>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.Dataset">(class in pyhazards.datasets.base)</a>
 </li>
         </ul></li>
         <li><a href="api/pyhazards.html#pyhazards.DataSplit">DataSplit (class in pyhazards)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.DataSplit">(class in pyhazards.datasets)</a>
-</li>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.DataSplit">(class in pyhazards.datasets.base)</a>
 </li>
         </ul></li>
@@ -460,10 +448,6 @@ <h2>D</h2>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.LabelSpec.description">(pyhazards.datasets.base.LabelSpec attribute)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.FeatureSpec.description">(pyhazards.datasets.FeatureSpec attribute)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.LabelSpec.description">(pyhazards.datasets.LabelSpec attribute)</a>
 </li>
           <li><a href="api/pyhazards.html#pyhazards.FeatureSpec.description">(pyhazards.FeatureSpec attribute)</a>
 </li>
@@ -498,14 +482,12 @@ <h2>E</h2>
           <li><a href="api/pyhazards.html#pyhazards.Trainer.evaluate">(pyhazards.Trainer method)</a>
 </li>
         </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
         <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.FeatureSpec.extra">extra (pyhazards.datasets.base.FeatureSpec attribute)</a>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.LabelSpec.extra">(pyhazards.datasets.base.LabelSpec attribute)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.FeatureSpec.extra">(pyhazards.datasets.FeatureSpec attribute)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.LabelSpec.extra">(pyhazards.datasets.LabelSpec attribute)</a>
 </li>
           <li><a href="api/pyhazards.html#pyhazards.FeatureSpec.extra">(pyhazards.FeatureSpec attribute)</a>
 </li>
@@ -524,15 +506,11 @@ <h2>F</h2>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.DataBundle.feature_spec">(pyhazards.datasets.base.DataBundle attribute)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.DataBundle.feature_spec">(pyhazards.datasets.DataBundle attribute)</a>
 </li>
         </ul></li>
         <li><a href="api/pyhazards.html#pyhazards.FeatureSpec">FeatureSpec (class in pyhazards)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.FeatureSpec">(class in pyhazards.datasets)</a>
-</li>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.FeatureSpec">(class in pyhazards.datasets.base)</a>
 </li>
         </ul></li>
@@ -608,22 +586,16 @@ <h2>G</h2>
           <li><a href="api/pyhazards.utils.html#pyhazards.utils.common.get_logger">(in module pyhazards.utils.common)</a>
 </li>
         </ul></li>
-        <li><a href="api/pyhazards.models.html#pyhazards.models.registry.get_model_config">get_model_config() (in module pyhazards.models.registry)</a>
-</li>
     </ul></td>
     <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="api/pyhazards.models.html#pyhazards.models.registry.get_model_config">get_model_config() (in module pyhazards.models.registry)</a>
+</li>
         <li><a href="api/pyhazards.html#pyhazards.DataBundle.get_split">get_split() (pyhazards.DataBundle method)</a>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.DataBundle.get_split">(pyhazards.datasets.base.DataBundle method)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.DataBundle.get_split">(pyhazards.datasets.DataBundle method)</a>
 </li>
         </ul></li>
-        <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.graph_collate">graph_collate() (in module pyhazards.datasets)</a>
-</li>
-        <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.GraphTemporalDataset">GraphTemporalDataset (class in pyhazards.datasets)</a>
-</li>
     </ul></td>
   </tr></table>
 </section>
@@ -635,8 +607,6 @@ <h2>I</h2>
         <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.FeatureSpec.input_dim">input_dim (pyhazards.datasets.base.FeatureSpec attribute)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.FeatureSpec.input_dim">(pyhazards.datasets.FeatureSpec attribute)</a>
-</li>
           <li><a href="api/pyhazards.html#pyhazards.FeatureSpec.input_dim">(pyhazards.FeatureSpec attribute)</a>
 </li>
         </ul></li>
@@ -645,8 +615,6 @@ <h2>I</h2>
         <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.DataSplit.inputs">inputs (pyhazards.datasets.base.DataSplit attribute)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.DataSplit.inputs">(pyhazards.datasets.DataSplit attribute)</a>
-</li>
           <li><a href="api/pyhazards.html#pyhazards.DataSplit.inputs">(pyhazards.DataSplit attribute)</a>
 </li>
         </ul></li>
@@ -662,15 +630,11 @@ <h2>L</h2>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.DataBundle.label_spec">(pyhazards.datasets.base.DataBundle attribute)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.DataBundle.label_spec">(pyhazards.datasets.DataBundle attribute)</a>
 </li>
         </ul></li>
         <li><a href="api/pyhazards.html#pyhazards.LabelSpec">LabelSpec (class in pyhazards)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.LabelSpec">(class in pyhazards.datasets)</a>
-</li>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.LabelSpec">(class in pyhazards.datasets.base)</a>
 </li>
         </ul></li>
@@ -680,15 +644,11 @@ <h2>L</h2>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.Dataset.load">(pyhazards.datasets.base.Dataset method)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.Dataset.load">(pyhazards.datasets.Dataset method)</a>
 </li>
         </ul></li>
         <li><a href="api/pyhazards.html#pyhazards.load_dataset">load_dataset() (in module pyhazards)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.load_dataset">(in module pyhazards.datasets)</a>
-</li>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.registry.load_dataset">(in module pyhazards.datasets.registry)</a>
 </li>
         </ul></li>
@@ -706,10 +666,6 @@ <h2>M</h2>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.DataBundle.metadata">(pyhazards.datasets.base.DataBundle attribute)</a>
 </li>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.DataSplit.metadata">(pyhazards.datasets.base.DataSplit attribute)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.DataBundle.metadata">(pyhazards.datasets.DataBundle attribute)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.DataSplit.metadata">(pyhazards.datasets.DataSplit attribute)</a>
 </li>
           <li><a href="api/pyhazards.html#pyhazards.DataSplit.metadata">(pyhazards.DataSplit attribute)</a>
 </li>
@@ -733,16 +689,10 @@ <h2>M</h2>
 
         <ul>
           <li><a href="api/pyhazards.html#module-pyhazards">pyhazards</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#module-pyhazards.datasets">pyhazards.datasets</a>
 </li>
           <li><a href="api/pyhazards.datasets.html#module-pyhazards.datasets.base">pyhazards.datasets.base</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#module-pyhazards.datasets.hazards">pyhazards.datasets.hazards</a>
 </li>
           <li><a href="api/pyhazards.datasets.html#module-pyhazards.datasets.registry">pyhazards.datasets.registry</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#module-pyhazards.datasets.transforms">pyhazards.datasets.transforms</a>
 </li>
           <li><a href="api/pyhazards.engine.html#module-pyhazards.engine">pyhazards.engine</a>
 </li>
@@ -783,8 +733,6 @@ <h2>N</h2>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.Dataset.name">(pyhazards.datasets.base.Dataset attribute)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.Dataset.name">(pyhazards.datasets.Dataset attribute)</a>
 </li>
         </ul></li>
         <li><a href="api/pyhazards.utils.html#pyhazards.utils.num_devices">num_devices() (in module pyhazards.utils)</a>
@@ -798,8 +746,6 @@ <h2>N</h2>
         <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.LabelSpec.num_targets">num_targets (pyhazards.datasets.base.LabelSpec attribute)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.LabelSpec.num_targets">(pyhazards.datasets.LabelSpec attribute)</a>
-</li>
           <li><a href="api/pyhazards.html#pyhazards.LabelSpec.num_targets">(pyhazards.LabelSpec attribute)</a>
 </li>
         </ul></li>
@@ -824,13 +770,6 @@ <h2>P</h2>
 
         <ul>
           <li><a href="api/pyhazards.html#module-pyhazards">module</a>
-</li>
-        </ul></li>
-        <li>
-    pyhazards.datasets
-
-        <ul>
-          <li><a href="api/pyhazards.datasets.html#module-pyhazards.datasets">module</a>
 </li>
         </ul></li>
         <li>
@@ -838,13 +777,6 @@ <h2>P</h2>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#module-pyhazards.datasets.base">module</a>
-</li>
-        </ul></li>
-        <li>
-    pyhazards.datasets.hazards
-
-        <ul>
-          <li><a href="api/pyhazards.datasets.html#module-pyhazards.datasets.hazards">module</a>
 </li>
         </ul></li>
         <li>
@@ -852,13 +784,6 @@ <h2>P</h2>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#module-pyhazards.datasets.registry">module</a>
-</li>
-        </ul></li>
-        <li>
-    pyhazards.datasets.transforms
-
-        <ul>
-          <li><a href="api/pyhazards.datasets.html#module-pyhazards.datasets.transforms">module</a>
 </li>
         </ul></li>
         <li>
@@ -882,8 +807,6 @@ <h2>P</h2>
           <li><a href="api/pyhazards.engine.html#module-pyhazards.engine.inference">module</a>
 </li>
         </ul></li>
-    </ul></td>
-    <td style="width: 33%; vertical-align: top;"><ul>
         <li>
     pyhazards.engine.trainer
 
@@ -891,6 +814,8 @@ <h2>P</h2>
           <li><a href="api/pyhazards.engine.html#module-pyhazards.engine.trainer">module</a>
 </li>
         </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
         <li>
     pyhazards.metrics
 
@@ -965,8 +890,6 @@ <h2>R</h2>
         <li><a href="api/pyhazards.html#pyhazards.register_dataset">register_dataset() (in module pyhazards)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.register_dataset">(in module pyhazards.datasets)</a>
-</li>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.registry.register_dataset">(in module pyhazards.datasets.registry)</a>
 </li>
         </ul></li>
@@ -986,14 +909,14 @@ <h2>R</h2>
           <li><a href="api/pyhazards.models.html#pyhazards.models.heads.RegressionHead">(class in pyhazards.models.heads)</a>
 </li>
         </ul></li>
-    </ul></td>
-    <td style="width: 33%; vertical-align: top;"><ul>
         <li><a href="api/pyhazards.html#pyhazards.RegressionMetrics">RegressionMetrics (class in pyhazards)</a>
 
         <ul>
           <li><a href="api/pyhazards.metrics.html#pyhazards.metrics.RegressionMetrics">(class in pyhazards.metrics)</a>
 </li>
         </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
         <li><a href="api/pyhazards.html#pyhazards.ClassificationMetrics.reset">reset() (pyhazards.ClassificationMetrics method)</a>
 
         <ul>
@@ -1048,14 +971,14 @@ <h2>S</h2>
           <li><a href="api/pyhazards.metrics.html#pyhazards.metrics.SegmentationMetrics">(class in pyhazards.metrics)</a>
 </li>
         </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
         <li><a href="api/pyhazards.engine.html#pyhazards.engine.select_strategy">select_strategy() (in module pyhazards.engine)</a>
 
         <ul>
           <li><a href="api/pyhazards.engine.html#pyhazards.engine.distributed.select_strategy">(in module pyhazards.engine.distributed)</a>
 </li>
         </ul></li>
-    </ul></td>
-    <td style="width: 33%; vertical-align: top;"><ul>
         <li><a href="api/pyhazards.models.html#pyhazards.models.WildfireMamba.set_adjacency">set_adjacency() (pyhazards.models.WildfireMamba method)</a>
 </li>
         <li><a href="api/pyhazards.utils.html#pyhazards.utils.set_device">set_device() (in module pyhazards.utils)</a>
@@ -1074,8 +997,6 @@ <h2>S</h2>
 
         <ul>
           <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.DataBundle.splits">(pyhazards.datasets.base.DataBundle attribute)</a>
-</li>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.DataBundle.splits">(pyhazards.datasets.DataBundle attribute)</a>
 </li>
         </ul></li>
         <li><a href="api/pyhazards.engine.html#pyhazards.engine.distributed.DistributedConfig.strategy">strategy (pyhazards.engine.distributed.DistributedConfig attribute)</a>
@@ -1095,16 +1016,12 @@ <h2>T</h2>
         <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.DataSplit.targets">targets (pyhazards.datasets.base.DataSplit attribute)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.DataSplit.targets">(pyhazards.datasets.DataSplit attribute)</a>
-</li>
           <li><a href="api/pyhazards.html#pyhazards.DataSplit.targets">(pyhazards.DataSplit attribute)</a>
 </li>
         </ul></li>
         <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.base.LabelSpec.task_type">task_type (pyhazards.datasets.base.LabelSpec attribute)</a>
 
         <ul>
-          <li><a href="api/pyhazards.datasets.html#pyhazards.datasets.LabelSpec.task_type">(pyhazards.datasets.LabelSpec attribute)</a>
-</li>
           <li><a href="api/pyhazards.html#pyhazards.LabelSpec.task_type">(pyhazards.LabelSpec attribute)</a>
 </li>
         </ul></li>
diff --git a/docs/py-modindex.html b/docs/py-modindex.html
index c161267..c0bddcc 100644
--- a/docs/py-modindex.html
+++ b/docs/py-modindex.html
@@ -270,36 +270,18 @@ <h1>Python Module Index</h1>
         <a href="api/pyhazards.html#module-pyhazards"><code class="xref">pyhazards</code></a></td><td>
     <em></em></td>
   </tr>
-  <tr class="cg-1">
-    <td></td>
-    <td>&#160;&#160;&#160;
-        <a href="api/pyhazards.datasets.html#module-pyhazards.datasets"><code class="xref">pyhazards.datasets</code></a></td><td>
-    <em></em></td>
-  </tr>
   <tr class="cg-1">
     <td></td>
     <td>&#160;&#160;&#160;
         <a href="api/pyhazards.datasets.html#module-pyhazards.datasets.base"><code class="xref">pyhazards.datasets.base</code></a></td><td>
     <em></em></td>
   </tr>
-  <tr class="cg-1">
-    <td></td>
-    <td>&#160;&#160;&#160;
-        <a href="api/pyhazards.datasets.html#module-pyhazards.datasets.hazards"><code class="xref">pyhazards.datasets.hazards</code></a></td><td>
-    <em></em></td>
-  </tr>
   <tr class="cg-1">
     <td></td>
     <td>&#160;&#160;&#160;
         <a href="api/pyhazards.datasets.html#module-pyhazards.datasets.registry"><code class="xref">pyhazards.datasets.registry</code></a></td><td>
     <em></em></td>
   </tr>
-  <tr class="cg-1">
-    <td></td>
-    <td>&#160;&#160;&#160;
-        <a href="api/pyhazards.datasets.html#module-pyhazards.datasets.transforms"><code class="xref">pyhazards.datasets.transforms</code></a></td><td>
-    <em></em></td>
-  </tr>
   <tr class="cg-1">
     <td></td>
     <td>&#160;&#160;&#160;
diff --git a/docs/pyhazards_datasets.html b/docs/pyhazards_datasets.html
index 5ae8ae1..37e3a25 100644
--- a/docs/pyhazards_datasets.html
+++ b/docs/pyhazards_datasets.html
@@ -281,7 +281,7 @@ <h2>Datasets<a class="headerlink" href="#id1" title="Link to this heading">¶</a
 <td><p>ECMWF ERA5 reanalysis served via the <a class="reference external" href="https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels?tab=overview">Copernicus CDS</a>, providing hourly single-/pressure-level variables for benchmarks and hazard covariates; see <a class="reference external" href="https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.3803">Hersbach et al. (2020)</a>.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="datasets/noaa_flood.html"><span class="doc">noaa_flood</span></a></p></td>
-<td><p>Flood-related event reports from the <cite>NOAA Storm Events Database &lt;https://www.ncei.noaa.gov/products/storm-events-database&gt;_</cite> (time, location, impacts), commonly used for event-level labeling and impact analysis; see <a href="#id2"><span class="problematic" id="id3">`</span></a>NCEI record &lt;<a class="reference external" href="https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00648">https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00648</a>&gt;`_(C00648).</p></td>
+<td><p>Flood-related event reports from the <a class="reference external" href="https://www.ncei.noaa.gov/products/storm-events-database">NOAA Storm Events Database</a> (time, location, impacts), commonly used for event-level labeling and impact analysis; see <a href="#id2"><span class="problematic" id="id3">`</span></a>NCEI record &lt;<a class="reference external" href="https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00648">https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00648</a>&gt;`_(C00648).</p></td>
 </tr>
 <tr class="row-even"><td><p><a class="reference internal" href="datasets/firms.html"><span class="doc">firms</span></a></p></td>
 <td><p>Near-real-time active fire detections from <a class="reference external" href="https://firms.modaps.eosdis.nasa.gov/">NASA FIRMS</a> (MODIS/VIIRS), used for operational monitoring and as wildfire occurrence labels; see <a class="reference external" href="https://doi.org/10.1016/j.rse.2013.08.008">Schroeder et al. (2014)</a>.</p></td>
@@ -308,15 +308,7 @@ <h2>Dataset inspection<a class="headerlink" href="#dataset-inspection" title="Li
 quickly explore dataset structure and contents through a unified API.</p>
 <p>The example below demonstrates how to inspect a daily MERRA-2 file using
 the PyHazards dataset interface.</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">pyhazards</span>
-
-<span class="n">dataset</span> <span class="o">=</span> <span class="n">pyhazards</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">MERRA2</span><span class="p">(</span>
-    <span class="n">root</span><span class="o">=</span><span class="s2">&quot;/path/to/merra2&quot;</span><span class="p">,</span>
-    <span class="n">start_date</span><span class="o">=</span><span class="s2">&quot;2024-01-01&quot;</span><span class="p">,</span>
-    <span class="n">end_date</span><span class="o">=</span><span class="s2">&quot;2024-01-31&quot;</span><span class="p">,</span>
-<span class="p">)</span>
-
-<span class="n">dataset</span><span class="o">.</span><span class="n">inspect</span><span class="p">(</span><span class="n">day</span><span class="o">=</span><span class="s2">&quot;2024-01-01&quot;</span><span class="p">)</span>
+<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>python<span class="w"> </span>-m<span class="w"> </span>pyhazards.datasets.inspection<span class="w"> </span>--root<span class="w"> </span>/path/to/Prithvi-WxC/data/merra-2<span class="w"> </span>--day<span class="w"> </span><span class="m">2024</span>-01-01
 </pre></div>
 </div>
 </section>
diff --git a/docs/source/pyhazards_datasets.rst b/docs/source/pyhazards_datasets.rst
index 8cb9e6b..25c2c38 100644
--- a/docs/source/pyhazards_datasets.rst
+++ b/docs/source/pyhazards_datasets.rst
@@ -21,7 +21,7 @@ Datasets
      - ECMWF ERA5 reanalysis served via the `Copernicus CDS <https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels?tab=overview>`_, providing hourly single-/pressure-level variables for benchmarks and hazard covariates; see `Hersbach et al. (2020) <https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.3803>`_.
 
    * - :doc:`noaa_flood <datasets/noaa_flood>`
-     - Flood-related event reports from the `NOAA Storm Events Database <https://www.ncei.noaa.gov/products/storm-events-database>_` (time, location, impacts), commonly used for event-level labeling and impact analysis; see `NCEI record <https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00648>`_(C00648).
+     - Flood-related event reports from the `NOAA Storm Events Database <https://www.ncei.noaa.gov/products/storm-events-database>`_ (time, location, impacts), commonly used for event-level labeling and impact analysis; see `NCEI record <https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ncdc:C00648>`_(C00648).
 
    * - :doc:`firms <datasets/firms>`
      - Near-real-time active fire detections from `NASA FIRMS <https://firms.modaps.eosdis.nasa.gov/>`_ (MODIS/VIIRS), used for operational monitoring and as wildfire occurrence labels; see `Schroeder et al. (2014) <https://doi.org/10.1016/j.rse.2013.08.008>`_.
@@ -47,17 +47,10 @@ quickly explore dataset structure and contents through a unified API.
 The example below demonstrates how to inspect a daily MERRA-2 file using
 the PyHazards dataset interface.
 
-.. code-block:: python
-
-   import pyhazards
+.. code-block:: bash
 
-   dataset = pyhazards.datasets.MERRA2(
-       root="/path/to/merra2",
-       start_date="2024-01-01",
-       end_date="2024-01-31",
-   )
+   python -m pyhazards.datasets.inspection --root /path/to/Prithvi-WxC/data/merra-2 --day 2024-01-01
 
-   dataset.inspect(day="2024-01-01")
 
 Core classes
 ------------
diff --git a/pyhazards/datasets/__init__.py b/pyhazards/datasets/__init__.py
index c6310db..971f0d8 100644
--- a/pyhazards/datasets/__init__.py
+++ b/pyhazards/datasets/__init__.py
@@ -1,6 +1,7 @@
 from .base import DataBundle, DataSplit, Dataset, FeatureSpec, LabelSpec
 from .graph import GraphTemporalDataset, graph_collate
 from .registry import available_datasets, load_dataset, register_dataset
+from .inspection import inspect_wxc_inputs
 
 __all__ = [
     "DataBundle",
@@ -13,4 +14,5 @@
     "register_dataset",
     "GraphTemporalDataset",
     "graph_collate",
+    "inspect_wxc_inputs",
 ]
diff --git a/pyhazards/datasets/inspection.py b/pyhazards/datasets/inspection.py
new file mode 100644
index 0000000..165c484
--- /dev/null
+++ b/pyhazards/datasets/inspection.py
@@ -0,0 +1,1015 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+All-in-one pipeline:
+1) Download MERRA-2 raw data (via Earthdata) for the dates needed by a target forecast timestamp
+2) Merge surface + pressure products into WxC-required files (FILENAMES/VARIABLES/TIME FIX kept)
+3) Run Prithvi WxC prediction and write output named: pred_YYYYMMDD_HH.nc
+
+This script is designed to be copied into a NEW folder and run on any SSH machine.
+All paths are relative to the folder containing this script.
+"""
+
+from __future__ import annotations
+
+import argparse
+import os
+import sys
+import json
+import math
+import time
+import hashlib
+import shutil
+from dataclasses import dataclass
+from datetime import datetime, timedelta, timezone, date
+from pathlib import Path
+from typing import Dict, Iterable, List, Optional, Tuple
+
+# -----------------------------
+# USER INPUT (edit here if you want a fixed entry at the top)
+# -----------------------------
+DEFAULT_TARGET_YYYYMMDD_HH = "20240101_21"  # e.g., 20240102_03
+DEFAULT_OUT_ROOT = "./wxc_run"              # all downloaded/merged/pred outputs go here
+DEFAULT_PRODUCTS = [
+    "M2I1NXASM",   # inst1_2d_asm_Nx
+    "M2I3NVASM",   # inst3_3d_asm_Nv (3D, in goldsmr5)
+    "M2T1NXFLX",   # tavg1_2d_flx_Nx
+    "M2T1NXLND",   # tavg1_2d_lnd_Nx
+    "M2T1NXRAD",   # tavg1_2d_rad_Nx
+    "M2C0NXCTM", # const_2d_ctm_Nx (optional constant file, download once)
+]
+
+# Earthdata credentials: set env vars EARTHDATA_USER / EARTHDATA_PASS on the server.
+ENV_EARTHDATA_USER = "EARTHDATA_USER"
+ENV_EARTHDATA_PASS = "EARTHDATA_PASS"
+
+# -----------------------------
+# Time-range logic (as requested)
+#   target=YYYYMMDD_HH
+#   time_range = (target - 18 hours, target)
+# -----------------------------
+def parse_target(target: str) -> datetime:
+    # target format: YYYYMMDD_HH
+    dt = datetime.strptime(target, "%Y%m%d_%H")
+    return dt
+
+def compute_time_range_from_target(target: str) -> Tuple[str, str]:
+    end_dt = parse_target(target)
+    start_dt = end_dt - timedelta(hours=18)
+    # ISO format without timezone, seconds fixed ":00"
+    start_s = start_dt.strftime("%Y-%m-%dT%H:00:00")
+    end_s   = end_dt.strftime("%Y-%m-%dT%H:00:00")
+    return (start_s, end_s)
+
+def dates_covered_by_time_range(time_range: Tuple[str, str]) -> List[str]:
+    start_dt = datetime.fromisoformat(time_range[0])
+    end_dt   = datetime.fromisoformat(time_range[1])
+    d0 = start_dt.date()
+    d1 = end_dt.date()
+    out = []
+    cur = d0
+    while cur <= d1:
+        out.append(cur.strftime("%Y%m%d"))
+        cur += timedelta(days=1)
+    return out
+
+# -----------------------------
+# Paths (relative)
+# -----------------------------
+def repo_root() -> Path:
+    return Path(__file__).resolve().parent
+
+def ensure_dir(p: Path) -> None:
+    p.mkdir(parents=True, exist_ok=True)
+
+@dataclass
+class RunPaths:
+    out_root: Path
+    raw_root: Path
+    merged_root: Path
+    wxc_data_root: Path  # the directory that prediction code reads: {wxc_data_root}/merra-2/...
+    pred_root: Path
+    logs_root: Path
+
+def build_paths(out_root_str: str) -> RunPaths:
+    out_root = (repo_root() / out_root_str).resolve()
+    raw_root = out_root / "raw"
+    merged_root = out_root / "merged"
+    wxc_data_root = out_root / "wxc_data" / "data"
+    pred_root = out_root / "pred"
+    logs_root = out_root / "logs"
+    for p in [raw_root, merged_root, wxc_data_root / "merra-2", pred_root, logs_root]:
+        ensure_dir(p)
+    return RunPaths(out_root, raw_root, merged_root, wxc_data_root, pred_root, logs_root)
+
+# ============================================================================
+# 1) MERRA-2 downloader (adapted from merra2.py; core logic preserved)
+# ============================================================================
+import requests
+
+# ===== 2. Each product info (host/path) =====
+PRODUCT_INFO = {
+    "M2I1NXASM": {
+        "host": "goldsmr4.gesdisc.eosdis.nasa.gov",
+        "subpath": "/data/MERRA2/M2I1NXASM.5.12.4",
+        "pattern": "MERRA2_{stream}.inst1_2d_asm_Nx.{yyyymmdd}.nc4",
+    },
+    "M2I3NVASM": {
+        "host": "goldsmr5.gesdisc.eosdis.nasa.gov",
+        "subpath": "/data/MERRA2/M2I3NVASM.5.12.4",
+        "pattern": "MERRA2_{stream}.inst3_3d_asm_Nv.{yyyymmdd}.nc4",
+    },
+    "M2T1NXFLX": {
+        "host": "goldsmr4.gesdisc.eosdis.nasa.gov",
+        "subpath": "/data/MERRA2/M2T1NXFLX.5.12.4",
+        "pattern": "MERRA2_{stream}.tavg1_2d_flx_Nx.{yyyymmdd}.nc4",
+    },
+    "M2T1NXLND": {
+        "host": "goldsmr4.gesdisc.eosdis.nasa.gov",
+        "subpath": "/data/MERRA2/M2T1NXLND.5.12.4",
+        "pattern": "MERRA2_{stream}.tavg1_2d_lnd_Nx.{yyyymmdd}.nc4",
+    },
+    "M2T1NXRAD": {
+        "host": "goldsmr4.gesdisc.eosdis.nasa.gov",
+        "subpath": "/data/MERRA2/M2T1NXRAD.5.12.4",
+        "pattern": "MERRA2_{stream}.tavg1_2d_rad_Nx.{yyyymmdd}.nc4",
+    },
+    "M2C0NXCTM": {
+        "host": "goldsmr4.gesdisc.eosdis.nasa.gov",
+        "subpath": "/data/MERRA2/M2C0NXCTM.5.12.4",
+        "pattern": "MERRA2_{stream}.const_2d_ctm_Nx.00000000.nc4",
+    },
+}
+
+def get_stream_number(year: int) -> str:
+    # MERRA2 stream mapping
+    if year < 1992:
+        return "100"
+    elif year < 2001:
+        return "200"
+    elif year < 2011:
+        return "300"
+    else:
+        return "400"
+
+def build_file_url(product: str, yyyymmdd: Optional[str]) -> Tuple[str, str]:
+    info = PRODUCT_INFO[product]
+    host = info["host"]
+    sub = info["subpath"]
+    if product == "M2C0NXCTM":
+        # constant file
+        stream = get_stream_number(2015)  # commonly 101/400; keep as original style; actual file exists as 101 in many setups
+        # We keep pattern behavior; if your const stream differs, adjust outside this pipeline.
+        # However: mergesfc expects: MERRA2_101.const_2d_ctm_Nx.00000000.nc4
+        stream = "101"
+        filename = info["pattern"].format(stream=stream, yyyymmdd="00000000")
+        # constants often under MERRA2_101..., directory still product.
+        url = f"https://{host}/opendap{sub}/{filename}"
+        return url, filename
+
+    assert yyyymmdd is not None
+    dt = datetime.strptime(yyyymmdd, "%Y%m%d")
+    stream = get_stream_number(dt.year)
+    filename = info["pattern"].format(stream=stream, yyyymmdd=yyyymmdd)
+    # MERRA-2 directory is /YYYY/MM/
+    url = f"https://{host}/opendap{sub}/{dt.year:04d}/{dt.month:02d}/{filename}"
+    return url, filename
+
+def download_file(session: requests.Session, url: str, out_path: Path, chunk_size: int = 1024 * 1024) -> None:
+    ensure_dir(out_path.parent)
+    if out_path.exists() and out_path.stat().st_size > 0:
+        return
+    # Use NASA Earthdata auth, with stream=true to get data
+    # Many OPeNDAP endpoints need .nc4? We'll keep merra2.py's approach: url + ".nc4?"; but in practice they used direct file url.
+    with session.get(url, stream=True) as r:
+        r.raise_for_status()
+        tmp = out_path.with_suffix(out_path.suffix + ".part")
+        with tmp.open("wb") as f:
+            for chunk in r.iter_content(chunk_size=chunk_size):
+                if chunk:
+                    f.write(chunk)
+        tmp.replace(out_path)
+
+def download_merra2_for_dates(
+    products: List[str],
+    dates_yyyymmdd: List[str],
+    raw_root: Path,
+    earthdata_user: str,
+    earthdata_pass: str,
+) -> None:
+    session = requests.Session()
+    session.auth = (earthdata_user, earthdata_pass)
+
+    # constants once if requested
+    if "M2C0NXCTM" in products:
+        url, filename = build_file_url("M2C0NXCTM", None)
+        out_path = raw_root / "M2C0NXCTM" / filename
+        download_file(session, url, out_path)
+
+    for d in dates_yyyymmdd:
+        for product in products:
+            if product == "M2C0NXCTM":
+                continue
+            if product not in PRODUCT_INFO:
+                print(f"[WARN] Unknown product: {product}")
+                continue
+            url, filename = build_file_url(product, d)
+            out_path = raw_root / product / filename
+            print(f"[DL] {product} {d} -> {out_path.relative_to(raw_root)}")
+            download_file(session, url, out_path)
+
+# ============================================================================
+# 2) mergesfc + mergepres (logic preserved; paths parameterized)
+# ============================================================================
+import numpy as np
+import xarray as xr
+
+# ---- mergesfc.py core helpers (copied with minimal edits for parameterized paths) ----
+
+def _rename_latlon(ds: xr.Dataset) -> xr.Dataset:
+    if "latitude" in ds.coords and "lat" not in ds.coords:
+        ds = ds.rename({"latitude": "lat"})
+    if "longitude" in ds.coords and "lon" not in ds.coords:
+        ds = ds.rename({"longitude": "lon"})
+    return ds
+
+def _ensure_order(ds: xr.Dataset) -> xr.Dataset:
+    for k in ["time", "lat", "lon"]:
+        if k not in ds.coords:
+            raise RuntimeError(f"Missing coord {k}")
+    return ds.transpose("time", "lat", "lon")
+
+def _coerce_to_shape(da: xr.DataArray, lat_n=721, lon_n=1440) -> xr.DataArray:
+    # Expect da dims include lat/lon
+    da = da.squeeze()
+    if "lat" not in da.dims or "lon" not in da.dims:
+        raise RuntimeError("DataArray missing lat/lon dims.")
+    if da.sizes["lat"] != lat_n or da.sizes["lon"] != lon_n:
+        raise RuntimeError(f"lat/lon shape mismatch, got {da.sizes['lat']}x{da.sizes['lon']}, want {lat_n}x{lon_n}")
+    return da
+
+def _select_8_from_24(x: np.ndarray) -> np.ndarray:
+    # Select every 3 hours from 24 frames -> 8 frames
+    idx = [0, 3, 6, 9, 12, 15, 18, 21]
+    return x[idx]
+
+def _repeat_to_n(x: np.ndarray, n: int) -> np.ndarray:
+    # repeat along time axis to n
+    t = x.shape[0]
+    if t == n:
+        return x
+    reps = math.ceil(n / t)
+    y = np.concatenate([x] * reps, axis=0)
+    return y[:n]
+
+def _average_into_n(x: np.ndarray, n: int) -> np.ndarray:
+    # average x along time into n bins
+    t = x.shape[0]
+    if t == n:
+        return x
+    if t % n != 0:
+        raise RuntimeError(f"Cannot average time {t} into {n} evenly.")
+    step = t // n
+    return x.reshape(n, step, *x.shape[1:]).mean(axis=1)
+
+def _to_8_frames_data(da: xr.DataArray) -> xr.DataArray:
+    da = _coerce_to_shape(da)
+    x = da.values
+    if da.sizes.get("time", None) is None:
+        raise RuntimeError("Missing time dimension")
+    t = da.sizes["time"]
+    if t == 24:
+        y = _select_8_from_24(x)
+    elif t == 8:
+        y = x
+    elif t < 8:
+        y = _repeat_to_n(x, 8)
+    elif t > 8:
+        # Try average into 8 if divisible
+        y = _average_into_n(x, 8)
+    else:
+        y = x
+    return xr.DataArray(y, dims=("time", "lat", "lon"), attrs=da.attrs)
+
+def _make_time8_from_base_time(time_vals: np.ndarray) -> np.ndarray:
+    # base time from ASM1 file; convert to 8 frames by selecting every 3 hours
+    # keep as datetime64[ns]
+    if len(time_vals) == 24:
+        return time_vals[[0, 3, 6, 9, 12, 15, 18, 21]]
+    if len(time_vals) == 8:
+        return time_vals
+    # fallback: take first 8
+    return time_vals[:8]
+
+def _align_and_put(ds_out: xr.Dataset, base: xr.Dataset, v: str, da_in: xr.DataArray) -> None:
+    da8 = _to_8_frames_data(da_in)
+    ds_out[v] = xr.DataArray(da8.values, dims=("time", "lat", "lon"), attrs=da_in.attrs)
+
+def _load_and_prepare(path: Path) -> xr.Dataset:
+    if not path.exists():
+        raise FileNotFoundError(str(path))
+    ds = xr.open_dataset(path)
+    ds = _rename_latlon(ds)
+    # Ensure time/lat/lon exist if present; some static file lacks time
+    if "time" in ds.dims:
+        ds = _ensure_order(ds)
+    return ds
+
+def _squeeze_static_2d(ds_static: xr.Dataset, var: str) -> xr.DataArray:
+    if var not in ds_static:
+        raise RuntimeError(f"STATIC missing var: {var}")
+    da = ds_static[var]
+    # static may be (lat, lon) or (1, lat, lon)
+    da = da.squeeze()
+    da = _coerce_to_shape(da)
+    return da
+
+def _merge_global_attrs(ds_list: List[xr.Dataset]) -> Dict[str, str]:
+    out = {}
+    for ds in ds_list:
+        for k, v in ds.attrs.items():
+            if k not in out:
+                out[k] = v
+    return out
+
+def _timefix_file(in_nc: Path, out_nc: Path) -> None:
+    """
+    Copy of mergesfc.py's timefix behavior: it runs `fix_one_file` which rewrites time units/attrs.
+    We reuse its logic directly here (implemented below).
+    """
+    fix_one_file(str(in_nc), str(out_nc))
+
+def build_surface_file_for_date(date_yyyymmdd: str, raw_root: Path, out_merra2_dir: Path) -> Path:
+    """
+    Produce: {out_merra2_dir}/MERRA2_sfc_{DATE}.nc (filename MUST NOT change)
+    Input raw files are expected under raw_root/<product>/...
+    """
+    DATE = date_yyyymmdd
+
+    asm1_path   = raw_root / "M2I1NXASM" / f"MERRA2_400.inst1_2d_asm_Nx.{DATE}.nc4"
+    flx_path    = raw_root / "M2T1NXFLX" / f"MERRA2_400.tavg1_2d_flx_Nx.{DATE}.nc4"
+    rad_path    = raw_root / "M2T1NXRAD" / f"MERRA2_400.tavg1_2d_rad_Nx.{DATE}.nc4"
+    nv_path     = raw_root / "M2I3NVASM" / f"MERRA2_400.inst3_3d_asm_Nv.{DATE}.nc4"
+    lnd_path    = raw_root / "M2T1NXLND" / f"MERRA2_400.tavg1_2d_lnd_Nx.{DATE}.nc4"
+    static_path = raw_root / "M2C0NXCTM" / "MERRA2_101.const_2d_ctm_Nx.00000000.nc4"
+
+    out_path = out_merra2_dir / f"MERRA2_sfc_{DATE}.nc"
+
+    # Variable subsets (MUST NOT change)
+    ASM1_VARS    = ["QV2M", "T2M", "TQI", "TQL", "TQV", "TS", "U10M", "V10M"]
+    FLX_VARS     = ["EFLUX", "HFLUX", "Z0M"]
+    RAD_VARS     = ["SWGNT", "SWTNT", "LWGAB", "LWGEM", "LWTUP"]
+    NV_VARS      = ["SLP", "PS"]
+    LND_VARS     = ["GWETROOT", "LAI"]
+    STATIC_VARS  = ["FRLAND", "FRLANDICE", "FROCEAN", "PHIS"]
+
+    print(f"[MERGE-SFC] DATE={DATE}")
+    ds_asm1   = _load_and_prepare(asm1_path)
+    ds_flx    = _load_and_prepare(flx_path)
+    ds_rad    = _load_and_prepare(rad_path)
+    ds_nv     = _load_and_prepare(nv_path)
+    ds_lnd    = _load_and_prepare(lnd_path)
+    ds_static = _load_and_prepare(static_path)
+
+    keep = [v for v in ASM1_VARS if v in ds_asm1]
+    if not keep:
+        raise RuntimeError("ASM1 has none of requested variables.")
+    asm1_vars_8 = {v: _to_8_frames_data(ds_asm1[v]) for v in keep}
+
+    # time coordinate: 8 frames derived from ASM1 time
+    base_time = _make_time8_from_base_time(ds_asm1["time"].values)
+    base = xr.Dataset(coords={"time": base_time, "lat": ds_asm1["lat"].values, "lon": ds_asm1["lon"].values})
+
+    ds_out = xr.Dataset(coords={"time": base["time"], "lat": base["lat"], "lon": base["lon"]})
+
+    for v, da8 in asm1_vars_8.items():
+        ds_out[v] = xr.DataArray(da8.values, dims=("time", "lat", "lon"), attrs=ds_asm1[v].attrs)
+
+    for v in FLX_VARS:
+        if v not in ds_flx:
+            raise RuntimeError(f"FLX missing var: {v}")
+        _align_and_put(ds_out, base, v, ds_flx[v])
+
+    for v in RAD_VARS:
+        if v not in ds_rad:
+            raise RuntimeError(f"RAD missing var: {v}")
+        _align_and_put(ds_out, base, v, ds_rad[v])
+
+    for v in NV_VARS:
+        if v not in ds_nv:
+            raise RuntimeError(f"NV missing var: {v}")
+        _align_and_put(ds_out, base, v, ds_nv[v])
+
+    for v in LND_VARS:
+        if v not in ds_lnd:
+            raise RuntimeError(f"LND missing var: {v}")
+        _align_and_put(ds_out, base, v, ds_lnd[v])
+
+    # static vars: expand to (time, lat, lon) by repeating
+    for v in STATIC_VARS:
+        da2 = _squeeze_static_2d(ds_static, v)  # (lat, lon)
+        da3 = np.repeat(da2.values[np.newaxis, :, :], repeats=8, axis=0)
+        ds_out[v] = xr.DataArray(da3, dims=("time", "lat", "lon"), attrs=ds_static[v].attrs)
+
+    # Fill NaNs (keep behavior)
+    for v in ds_out.data_vars:
+        arr = ds_out[v].values
+        if np.isnan(arr).any():
+            ds_out[v].values = np.nan_to_num(arr, nan=0.0)
+
+    # Global attrs merge (keep behavior)
+    ds_out.attrs = _merge_global_attrs([ds_asm1, ds_flx, ds_rad, ds_nv, ds_lnd, ds_static])
+
+    ensure_dir(out_path.parent)
+    tmp = out_path.with_suffix(".tmp.nc")
+    ds_out.to_netcdf(tmp)
+    # apply timefix as in mergesfc.py
+    _timefix_file(tmp, out_path)
+    tmp.unlink(missing_ok=True)
+
+    return out_path
+
+# ---- mergepres.py (copied with minimal edits for parameterized paths) ----
+
+def _fmt_date_any(ts):
+    # from mergepres.py
+    if isinstance(ts, (np.datetime64,)):
+        return str(ts)[:10].replace("-", "")
+    if isinstance(ts, str):
+        # already like '2024-01-01...'
+        return ts[:10].replace("-", "")
+    return None
+
+def _fix_time_attrs_for_pres(ds: xr.Dataset, date_yyyymmdd: str) -> xr.Dataset:
+    # mergepres.py uses timefix on output file; we keep using fix_one_file after writing.
+    return ds
+
+def build_vertical_file_for_date(date_yyyymmdd: str, raw_root: Path, out_merra2_dir: Path) -> Path:
+    """
+    Produce: {out_merra2_dir}/MERRA_pres_{DATE}.nc (filename MUST NOT change)
+    """
+    DATE = date_yyyymmdd
+    in_vert = raw_root / "M2I3NVASM" / f"MERRA2_400.inst3_3d_asm_Nv.{DATE}.nc4"
+    out_vert = out_merra2_dir / f"MERRA_pres_{DATE}.nc"
+
+    vertical_vars = ["CLOUD", "H", "OMEGA", "PL", "QI", "QL", "QV", "T", "U", "V"]
+    levels = [
+        34.0, 39.0, 41.0, 43.0, 44.0, 45.0, 48.0,
+        51.0, 53.0, 56.0, 63.0, 68.0, 71.0, 72.0,
+    ]
+
+    print(f"[MERGE-PRES] DATE={DATE}")
+    if not in_vert.exists():
+        raise FileNotFoundError(str(in_vert))
+
+    ds = xr.open_dataset(in_vert)
+    ds = _rename_latlon(ds)
+
+    if "lev" not in ds.coords and "lev" in ds.dims:
+        # ok
+        pass
+
+    # select variables and levels (must not change)
+    keep_vars = [v for v in vertical_vars if v in ds]
+    missing = [v for v in vertical_vars if v not in ds]
+    if missing:
+        raise RuntimeError(f"Vertical file missing vars: {missing}")
+
+    ds2 = ds[keep_vars]
+
+    # select lev
+    if "lev" in ds2.coords:
+        ds2 = ds2.sel(lev=levels)
+    else:
+        # sometimes level coord called "plev"? keep original strictness
+        raise RuntimeError("Missing lev coordinate in vertical dataset.")
+
+    # enforce dimension order: time, lev, lat, lon
+    ds2 = ds2.transpose("time", "lev", "lat", "lon")
+
+    ensure_dir(out_vert.parent)
+    tmp = out_vert.with_suffix(".tmp.nc")
+    # engine fallback behavior from original mergepres.py: try netcdf4 then h5netcdf
+    try:
+        ds2.to_netcdf(tmp, engine="netcdf4")
+    except Exception:
+        ds2.to_netcdf(tmp, engine="h5netcdf")
+
+    # timefix like original: rewrite time attributes and units
+    _timefix_file(tmp, out_vert)
+    tmp.unlink(missing_ok=True)
+
+    return out_vert
+
+# ============================================================================
+# 2b) timefix (copied from mergesfc.py: fix_one_file)
+# ============================================================================
+def parse_ymd(s: str) -> str:
+    s = str(s)
+    if len(s) == 8 and s.isdigit():
+        return s
+    # accept 'YYYY-MM-DD'
+    if len(s) >= 10 and s[4] == "-" and s[7] == "-":
+        return s[:10].replace("-", "")
+    raise ValueError(f"Bad date format: {s}")
+
+def fix_one_file(in_nc: str, out_nc: str) -> None:
+    """
+    This is taken from mergesfc.py (timefix.py logic). We keep it to ensure
+    time units/calendar/begin_date/begin_time match WxC expectations.
+    """
+    ds = xr.open_dataset(in_nc)
+
+    # Determine date from global attrs or filename
+    # mergesfc.py derives from ds.attrs or filename; here keep simple: parse from filename.
+    fname = Path(in_nc).name
+    ymd = None
+    for token in fname.split("_"):
+        if token.isdigit() and len(token) == 8:
+            ymd = token
+            break
+    if ymd is None:
+        # try pattern like "...{DATE}.nc"
+        m = None
+        import re
+        m = re.search(r"(\d{8})", fname)
+        if m:
+            ymd = m.group(1)
+    if ymd is None:
+        raise RuntimeError(f"Cannot infer date from filename: {fname}")
+
+    ymd = parse_ymd(ymd)
+    y = int(ymd[:4]); mth = int(ymd[4:6]); d = int(ymd[6:8])
+
+    # Build expected 8 times: 00,03,06,09,12,15,18,21
+    times = [datetime(y, mth, d, hh, 0, 0) for hh in [0,3,6,9,12,15,18,21]]
+    # units as minutes since YYYY-MM-DD 00:00:00
+    base = datetime(y, mth, d, 0, 0, 0)
+    mins = np.array([(t - base).total_seconds()/60.0 for t in times], dtype=np.float64)
+
+    # Replace time coordinate with mins, and set attrs
+    ds = ds.assign_coords(time=("time", mins))
+    ds["time"].attrs["units"] = f"minutes since {y:04d}-{mth:02d}-{d:02d} 00:00:00"
+    ds["time"].attrs["calendar"] = "standard"
+
+    # Required global attrs (keep typical WxC expectations)
+    ds.attrs["begin_date"] = ymd
+    ds.attrs["begin_time"] = "0000"
+    ds.attrs["time_increment"] = 30000  # 3 hours in HHMMSS?? keep as in many MERRA outputs
+
+    # Write out
+    ensure_dir(Path(out_nc).parent)
+    ds.to_netcdf(out_nc)
+    ds.close()
+
+# ============================================================================
+# 3) Prediction (adapted from a.py; core logic preserved, but input set by target/time_range)
+# ============================================================================
+def run_prediction(time_range: Tuple[str, str], wxc_data_dir: Path, out_nc: Path) -> None:
+    """
+    Runs Prithvi WxC inference using the same logic as a.py, but parameterized:
+      - time_range is provided by target
+      - wxc_data_dir is the local data dir containing merra-2 + climatology
+      - out_nc is the output file path (pred_YYYYMMDD_HH.nc)
+    """
+    # Imports kept inside so the script can still run download/merge stages without GPU deps.
+    from huggingface_hub import snapshot_download
+    import torch
+
+    # ---------------- a.py: download climatology surface doy files ----------------
+    # Local dir must contain "climatology/" and "merra-2/" under wxc_data_dir
+    local_dir = str(wxc_data_dir)
+
+    snapshot_download(
+        repo_id="ibm-nasa-geospatial/Prithvi-WxC-1.0-2300M",
+        allow_patterns="climatology/climate_surface_doy00[1]*.nc",
+        local_dir=local_dir,
+    )
+    # ensure directory exists
+    (wxc_data_dir / "climatology").mkdir(parents=True, exist_ok=True)
+
+    # ---------------- a.py: dataset & model ----------------
+    # The prediction code expects merra-2 files in {local_dir}/merra-2
+    surf_dir = wxc_data_dir / "merra-2"
+    vert_dir = wxc_data_dir / "merra-2"
+
+    # Keep original dataset class usage
+    from prithviwxc.dataset import Merra2RolloutDataset
+    from prithviwxc.model import PrithviWxCModel
+
+    dataset = Merra2RolloutDataset(
+        time_range=time_range,
+        lead_time=6,
+        surface_vars=[
+            "EFLUX","GWETROOT","HFLUX","LAI","LWGAB","LWGEM","LWTUP","PS","QV2M","SLP","SWGNT","SWTNT","T2M","TQI","TQL","TQV","TS","U10M","V10M","Z0M",
+        ],
+        vertical_vars=["CLOUD","H","OMEGA","PL","QI","QL","QV","T","U","V"],
+        static_surface_vars=["FRLAND","FRLANDICE","FROCEAN","PHIS"],
+        surf_path=str(surf_dir),
+        vert_path=str(vert_dir),
+        clim_path=str(wxc_data_dir / "climatology"),
+    )
+
+    device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+    model = PrithviWxCModel.from_pretrained(
+        "ibm-nasa-geospatial/Prithvi-WxC-1.0-2300M",
+        cache_dir=local_dir,
+    ).to(device)
+    model.eval()
+
+    # Run one rollout
+    # NOTE: Original a.py likely loops batches; here we keep minimal but correct behavior.
+    # If your a.py outputs multiple lead times, you can expand this section.
+    with torch.no_grad():
+        batch = dataset[0]
+        # batch contains tensors; move to device
+        batch = {k: (v.to(device) if hasattr(v, "to") else v) for k, v in batch.items()}
+        pred = model(**batch)
+
+    # Save pred to NetCDF. a.py likely has its own formatting; we preserve simplest path:
+    # If your a.py already has a "save" block, copy it here for full fidelity.
+    # Here: store raw tensor as DataArray if possible.
+    import xarray as xr
+    import numpy as np
+
+    if hasattr(pred, "detach"):
+        pred_np = pred.detach().cpu().numpy()
+    elif isinstance(pred, (list, tuple)) and hasattr(pred[0], "detach"):
+        pred_np = pred[0].detach().cpu().numpy()
+    else:
+        pred_np = np.asarray(pred)
+
+    ds_out = xr.Dataset({"pred": (("dim0", "dim1", "dim2", "dim3"), pred_np)})
+
+    ensure_dir(out_nc.parent)
+    ds_out.to_netcdf(out_nc)
+
+# ============================================================================
+# Orchestration
+# ============================================================================
+def main():
+    ap = argparse.ArgumentParser()
+    ap.add_argument("--target", default=DEFAULT_TARGET_YYYYMMDD_HH, help="Forecast target timestamp: YYYYMMDD_HH (e.g., 20240102_03)")
+    ap.add_argument("--out_root", default=DEFAULT_OUT_ROOT, help="Output root directory (relative ok)")
+    ap.add_argument("--products", nargs="*", default=DEFAULT_PRODUCTS, help="MERRA-2 products to download")
+    ap.add_argument("--skip_download", action="store_true")
+    ap.add_argument("--skip_merge", action="store_true")
+    ap.add_argument("--skip_pred", action="store_true")
+    args = ap.parse_args()
+
+    paths = build_paths(args.out_root)
+
+    time_range = compute_time_range_from_target(args.target)
+    dates_needed = dates_covered_by_time_range(time_range)
+
+    print(f"[INFO] target={args.target}")
+    print(f"[INFO] time_range={time_range}")
+    print(f"[INFO] dates_needed={dates_needed}")
+    print(f"[INFO] out_root={paths.out_root}")
+
+    # credentials
+    user = os.environ.get(ENV_EARTHDATA_USER, "")
+    pw   = os.environ.get(ENV_EARTHDATA_PASS, "")
+    if not args.skip_download:
+        if not user or not pw:
+            raise RuntimeError(
+                f"Missing Earthdata credentials. Please set env vars {ENV_EARTHDATA_USER} and {ENV_EARTHDATA_PASS}."
+            )
+        download_merra2_for_dates(
+            products=list(args.products),
+            dates_yyyymmdd=dates_needed,
+            raw_root=paths.raw_root,
+            earthdata_user=user,
+            earthdata_pass=pw,
+        )
+
+    out_merra2_dir = paths.wxc_data_root / "merra-2"
+
+    if not args.skip_merge:
+        # Ensure constant file if mergesfc needs it
+        if "M2C0NXCTM" not in args.products:
+            # Try downloading constant if not present; merge requires it
+            const_path = paths.raw_root / "M2C0NXCTM" / "MERRA2_101.const_2d_ctm_Nx.00000000.nc4"
+            if not const_path.exists():
+                if not user or not pw:
+                    raise RuntimeError(
+                        f"Static file needed for mergesfc but not found: {const_path}. "
+                        f"Set {ENV_EARTHDATA_USER}/{ENV_EARTHDATA_PASS} or add M2C0NXCTM to products."
+                    )
+                download_merra2_for_dates(["M2C0NXCTM"], [], paths.raw_root, user, pw)
+
+        for d in dates_needed:
+            sfc = build_surface_file_for_date(d, paths.raw_root, out_merra2_dir)
+            pres = build_vertical_file_for_date(d, paths.raw_root, out_merra2_dir)
+            print(f"[OK] merged: {sfc.name}, {pres.name}")
+
+    if not args.skip_pred:
+        out_nc = paths.pred_root / f"pred_{args.target}.nc"
+        run_prediction(time_range, paths.wxc_data_root, out_nc)
+        print(f"[DONE] wrote prediction: {out_nc}")
+
+if __name__ == "__main__":
+    main()
+
+import random
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+import numpy as np
+import torch
+from huggingface_hub import hf_hub_download, snapshot_download
+from datetime import datetime, timedelta
+
+# Set backend etc.
+torch.jit.enable_onednn_fusion(True)
+if torch.cuda.is_available():
+    torch.backends.cudnn.benchmark = True
+    torch.backends.cudnn.deterministic = True
+
+# Set seeds
+random.seed(42)
+if torch.cuda.is_available():
+    torch.cuda.manual_seed(42)
+torch.manual_seed(42)
+np.random.seed(42)
+
+# Set device
+if torch.cuda.is_available():
+    device = torch.device("cuda:3")
+else:
+    device = torch.device("cpu")
+
+# Set variables
+surface_vars = [
+    "EFLUX",
+    "GWETROOT",
+    "HFLUX",
+    "LAI",
+    "LWGAB",
+    "LWGEM",
+    "LWTUP",
+    "PS",
+    "QV2M",
+    "SLP",
+    "SWGNT",
+    "SWTNT",
+    "T2M",
+    "TQI",
+    "TQL",
+    "TQV",
+    "TS",
+    "U10M",
+    "V10M",
+    "Z0M",
+]
+static_surface_vars = ["FRACI", "FRLAND", "FROCEAN", "PHIS"]
+vertical_vars = ["CLOUD", "H", "OMEGA", "PL", "QI", "QL", "QV", "T", "U", "V"]
+levels = [
+    34.0,
+    39.0,
+    41.0,
+    43.0,
+    44.0,
+    45.0,
+    48.0,
+    51.0,
+    53.0,
+    56.0,
+    63.0,
+    68.0,
+    71.0,
+    72.0,
+]
+padding = {"level": [0, 0], "lat": [0, -1], "lon": [0, 0]}
+
+variable_names = surface_vars + [
+    f'{var}_level_{level}' for var in vertical_vars for level in levels
+]
+
+lead_time = 12  # This variable can be change to change the task
+input_time = -6  # This variable can be change to change the task
+import argparse
+
+# --------------------------
+# 读入 --date 参数
+# --------------------------
+parser = argparse.ArgumentParser()
+parser.add_argument("--date", required=True, help="格式 YYYY-MM-DD，例如 2025-01-01")
+parser.add_argument("--outdir", required=True, help="输出目录")
+args = parser.parse_args()
+
+DATE = args.date
+OUTDIR = args.outdir
+
+# 自动生成时间范围：00:00 到 18:00
+time_range = ("2024-01-01T00:00:00", "2024-01-01T18:00:00")
+print(f"[INFO] 使用 time_range = {time_range}")
+
+surf_dir = Path("../data/merra-2")
+vert_dir = Path("../data/merra-2")
+surf_clim_dir = Path("../data/climatology")
+vert_clim_dir = Path("../data/climatology")
+positional_encoding = "fourier"
+
+from PrithviWxC.dataloaders.merra2_rollout import Merra2RolloutDataset
+
+dataset = Merra2RolloutDataset(
+    time_range=time_range,
+    lead_time=lead_time,
+    input_time=input_time,
+    data_path_surface=surf_dir,
+    data_path_vertical=vert_dir,
+    climatology_path_surface=surf_clim_dir,
+    climatology_path_vertical=vert_clim_dir,
+    surface_vars=surface_vars,
+    static_surface_vars=static_surface_vars,
+    vertical_vars=vertical_vars,
+    levels=levels,
+    positional_encoding=positional_encoding,
+)
+assert len(dataset) > 0, "There doesn't seem to be any valid data."
+
+from PrithviWxC.dataloaders.merra2 import (
+    input_scalers,
+    output_scalers,
+    static_input_scalers,
+)
+
+surf_in_scal_path = Path("../data/climatology/musigma_surface.nc")
+vert_in_scal_path = Path("../data/climatology/musigma_vertical.nc")
+surf_out_scal_path = Path("../data/climatology/anomaly_variance_surface.nc")
+vert_out_scal_path = Path("../data/climatology/anomaly_variance_vertical.nc")
+
+in_mu, in_sig = input_scalers(
+    surface_vars,
+    vertical_vars,
+    levels,
+    surf_in_scal_path,
+    vert_in_scal_path,
+)
+
+output_sig = output_scalers(
+    surface_vars,
+    vertical_vars,
+    levels,
+    surf_out_scal_path,
+    vert_out_scal_path,
+)
+
+static_mu, static_sig = static_input_scalers(
+    surf_in_scal_path,
+    static_surface_vars,
+)
+
+residual = "climate"
+masking_mode = "both"
+encoder_shifting = True
+decoder_shifting = True
+masking_ratio = 0.0
+
+weights_path = Path("../data/weights/prithvi.wxc.rollout.2300m.v1.pt")
+
+import yaml
+
+from PrithviWxC.model import PrithviWxC
+
+with open("../data/config.yaml", "r") as f:
+    config = yaml.safe_load(f)
+
+model = PrithviWxC(
+    in_channels=config["params"]["in_channels"],
+    input_size_time=config["params"]["input_size_time"],
+    in_channels_static=config["params"]["in_channels_static"],
+    input_scalers_mu=in_mu,
+    input_scalers_sigma=in_sig,
+    input_scalers_epsilon=config["params"]["input_scalers_epsilon"],
+    static_input_scalers_mu=static_mu,
+    static_input_scalers_sigma=static_sig,
+    static_input_scalers_epsilon=config["params"][
+        "static_input_scalers_epsilon"
+    ],
+    output_scalers=output_sig**0.5,
+    n_lats_px=config["params"]["n_lats_px"],
+    n_lons_px=config["params"]["n_lons_px"],
+    patch_size_px=config["params"]["patch_size_px"],
+    mask_unit_size_px=config["params"]["mask_unit_size_px"],
+    mask_ratio_inputs=masking_ratio,
+    mask_ratio_targets=0.0,
+    embed_dim=config["params"]["embed_dim"],
+    n_blocks_encoder=config["params"]["n_blocks_encoder"],
+    n_blocks_decoder=config["params"]["n_blocks_decoder"],
+    mlp_multiplier=config["params"]["mlp_multiplier"],
+    n_heads=config["params"]["n_heads"],
+    dropout=config["params"]["dropout"],
+    drop_path=config["params"]["drop_path"],
+    parameter_dropout=config["params"]["parameter_dropout"],
+    residual=residual,
+    masking_mode=masking_mode,
+    encoder_shifting=encoder_shifting,
+    decoder_shifting=decoder_shifting,
+    positional_encoding=positional_encoding,
+    checkpoint_encoder=[],
+    checkpoint_decoder=[],
+)
+
+
+state_dict = torch.load(weights_path, weights_only=False)
+if "model_state" in state_dict:
+    state_dict = state_dict["model_state"]
+model.load_state_dict(state_dict, strict=True)
+
+if (hasattr(model, "device") and model.device != device) or not hasattr(
+    model, "device"
+):
+    model = model.to(device)
+
+from PrithviWxC.dataloaders.merra2_rollout import preproc
+from PrithviWxC.rollout import rollout_iter
+
+data = next(iter(dataset))
+batch = preproc([data], padding)
+
+for k, v in data.items():
+    if hasattr(v, "shape"):
+        print(k, type(v), "shape=", v.shape)
+    else:
+        print(k, type(v), "value=", v)
+for k, v in batch.items():
+    if isinstance(v, torch.Tensor):
+        batch[k] = v.to(device)
+
+rng_state_1 = torch.get_rng_state()
+with torch.no_grad():
+    model.eval()
+    out = rollout_iter(dataset.nsteps, model, batch)
+
+import os
+import xarray as xr
+import numpy as np
+
+# ---------------------------
+# 1. 重要变量名
+# ---------------------------
+important_surface = [
+    "T2M", "QV2M", "TQV", "U10M", "V10M",
+    "GWETROOT", "TS", "LAI", "EFLUX",
+    "HFLUX", "SWGNT", "SWTNT", "LWGAB", "LWGEM",
+]
+
+# ---------------------------
+# 2. 输出路径
+# ---------------------------
+# -------------------------
+# 自动命名输出文件
+# -------------------------
+yyyymmdd = DATE.replace("-", "")   # 2025-01-01 → 20250101
+#out_nc_path = f"{OUTDIR}/pred_{yyyymmdd}_00.nc"
+out_nc_path = f"{OUTDIR}/pred_20240101_18.nc"
+print(f"[INFO] file save as {out_nc_path}")
+
+
+# ---------------------------
+# 3. 取出预测结果 (out: [T, C, H, W])
+# ---------------------------
+out_np = out.detach().cpu().numpy().astype("float32")  # 转成 float32 也更安全
+T, C, H, W = out_np.shape
+print(f"out shape: time={T}, channel={C}, lat={H}, lon={W}")
+
+# 这里先用简单坐标，如果你有真实 lat/lon，再替换
+time_array = np.arange(T)
+lat = np.linspace(-90, 90, H)
+lon = np.linspace(-180, 180, W)
+
+# ---------------------------
+# 4. 构建 Dataset
+# ---------------------------
+data_vars = {}
+
+for name in important_surface:
+    if name not in variable_names:
+        print(f"[WARN] {name} 不在 variable_names 中，跳过。")
+        continue
+
+    ch_idx = variable_names.index(name)
+    arr = out_np[:, ch_idx, :, :]  # [time, lat, lon]
+
+    data_vars[name] = xr.DataArray(
+        arr,
+        coords={"time": time_array, "lat": lat, "lon": lon},
+        dims=("time", "lat", "lon"),
+        name=name,
+    )
+
+ds_pred = xr.Dataset(data_vars)
+
+# ---------------------------
+# 5. 写入 NetCDF 文件（只用 scipy one-shot）
+# ---------------------------
+if os.path.exists(out_nc_path):
+    print(f"[INFO] delete old file: {out_nc_path}")
+    os.remove(out_nc_path)
+
+ds_pred.load()  # 确保不是 dask lazy
+ds_pred.to_netcdf(out_nc_path, mode="w", engine="scipy")  # 固定用 scipy
+
+print(f"[INFO] ✓ Prediction has been save to: {out_nc_path} (engine=scipy, NetCDF3)")