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Output
A DataFrame
is saved in feather format as projects.feather
.
The abstracts are stored in a different table.
A DataFrame
is saved in pickle format as abstracts.pickle
.
The projects' abstracts are stored in a different table which can be connected with that for projects using the field APPLICATION_ID
.
Publications citing support from projects
A DataFrame
is saved in feather format as publications.feather
.
A DataFrame
is saved in feather format as publications_author_affiliations.pickle
.
This yields the affiliation for every combination of author (AUTHOR_NAME
) and paper (PMID
). For recent records there is an extra field associated with the author AUTH_TRANS_ID
.
A DataFrame
is saved in feather format as links.feather
.
This table yields a many-to-many relationship between projects (through the PROJECT_ID
field provided by the projects table and the PROJECT_NUMBER
field provided by publications) and publications (through the PMID
on both sides).
Patents citing support from projects
A DataFrame
is saved in feather format as patents.feather
.
The column PROJECT_ID
in this table allows to connect it with projects table through the CORE_PROJECT_NUM
column in the latter.
Clinical Studies citing support from projects
A DataFrame
is saved in feather format as clinical_studies.feather
.
The column Core Project Number
in this table allows to connect it with projects table through the CORE_PROJECT_NUM
column in the latter.