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+++ b/manifiest_file.md
@@ -1,141 +1,141 @@
-#Manifest File
+# Manifest File
 
-##raw_data_README.md:
+## raw_data_README.md:
 
 Readme file that describes how to access my raw data.
 
-##Requirements.txt: 
+## Requirements.txt: 
 
 All of the needed modules to create my final data file.
 
-##final_institution_doi_reproducible_JupyterNotebook.ipynb:
+## final_institution_doi_reproducible_JupyterNotebook.ipynb:
 
 Reproducible notebook that walks through joining my intermediate data files.
 
-##final_institution_doi_assessment_report.pdf:
+## final_institution_doi_assessment_report.pdf:
 
 An assment of the value of my final dataset. 
 
-##DataCite.md:
+## DataCite.md:
 
 Markdown file that descirbes my DataCite data file.
 
-##GRID.md:
+## GRID.md:
 
 Markdown file that describes my GRID data file.
 
-##Harvard_DataVerse.md: 
+## Harvard_DataVerse.md: 
 
 Markdown file that describes my GRID data file.
 
-##OpenAire.md:
+## OpenAire.md:
 
 Markdown file that desicirbres my OpenAire data file.
 
-##Wieker_summary_slide.pptx:
+## Wieker_summary_slide.pptx:
 
 Powerpoint that describes the goals and processes of my dataset project.
 
-##resume_excerpt.pdf:
+## resume_excerpt.pdf:
 
 An excerpt of what this dataset looks like in my Resume.
 
-##original_DataCite_data (folder):
+## original_DataCite_data (folder):
 
 A folder that contains a set of folders, which each contain the json data for each institution from DataCite.
 
-##DataCite_API.py: 
+## DataCite_API.py: 
 
 Accessing DataCite API for institution pages 1-40.
 
-##DataCite_API_pages(41-100).py:
+## DataCite_API_pages(41-100).py:
 
 Accessing DataCite API for institution pages 41-100 if they existed.
 
-##datacentersfull.txt:
+## datacentersfull.txt:
 
 Supplemental file for DataCite_API_pages(41-100).py, which is used to access institution names
 
-##DataCite_csvconvert.py:
+## DataCite_csvconvert.py:
 
 Extract & convert DataCite data to a csv file.
 
-##DataCite_Doi.csv:
+## DataCite_Doi.csv:
 
 File that was created by DataCite_csvconvert.py; It is the elements that I extracted my raw data.
 
-##curated_DataCite_doi:
+## curated_DataCite_doi:
 
 The csv file that I created from my DataCite_agg.py script.
 
-##curated_DataCite_doi_2.0.csv:
+## curated_DataCite_doi_2.0.csv:
 
 I made some hand eidts of my curated_DataCite_doi csv file. I added a column next to institution codes, which was a list of institution names that corresponded to the codes. This is the data file that I used for my jupyter notebook.
 
-##DataCite_agg.py:
+## DataCite_agg.py:
 Py file to aggregate the DataCite_Doi.csv file by institution.
 
-##grid.csv:
+## grid.csv:
 
 Main GRID database file that describes institutions.
 
-##types.csv
+## types.csv
 
 supplemental GRID database file that describers institution types.
 
-##grid_merge.py:
+## grid_merge.py:
 
 Merge GRID database files, so I have a file to show institution location and type.
 
-##grid_merge.csv:
+## grid_merge.csv:
 
 Merged GRID database that shows institution location and type.
 
-##grid_curated.csv:
+## grid_curated.csv:
 
 Only contains institutions from the grid_merge.csv file that are from my collected data.
 
-##DataVerse_screenshot_1: 
+## DataVerse_screenshot_1: 
 
 Screenshot 1 of the query I did in DataVerse's repository to get dataset metadata.
 
-##DataVerse_screenshot_2:
+## DataVerse_screenshot_2:
 
 Screenshot 2 of the query I did in DataVerse's repository to get dataset metadata.
 
-##DataVerse_doi.csv:
+## DataVerse_doi.csv:
 
 I handcoded this file from the dataset 2017 publication information that was available on DataVerse's repository.
 
-##curated_DataVerse_doi:
+## curated_DataVerse_doi:
 
 I curated my DataVerse_doi.csv file, and this is the file that is read into my jupyter reproducible notebook.
 
-##OpenAire_doi.txt:
+## OpenAire_doi.txt:
 
 I copy pasted all of the dataset 2017 publication dataset data that is present on their search repository page.
 
-##OpenAire_screenshot:
+## OpenAire_screenshot:
 
 screenshot of what OpenAire looked like when I copy pasted the publication data.
 
-##OpenAire_doi.csv:
+## OpenAire_doi.csv:
 
 Handcoded csv from OpenAire_doi.txt.
 
-##curated_OpenAire_doi.csv:
+## curated_OpenAire_doi.csv:
 
 I curated my OpenAire_doi.csv file, and this is the file that is read into my jupyter reproducible notebook.
 
-##institution_doi.csv:
+## institution_doi.csv:
 
 Merged curated_DataCite_doi_2.0.csv, curated_DataVerse_doi.csv, curated_OpenAire_doi.csv, and grid_curated.csv into one data file.
 
-##cleaned_institution_doi.csv:
+## cleaned_institution_doi.csv:
 
 Cleaned up some duplicate rows from institution_doi.csv.
 
-##final_institution_doi.csv:
+## final_institution_doi.csv:
 
 Final dataset; did some more cleaning (removed incorrect license information and reset index).