|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|High-performance visualization and interactive data exploration of scientific and geospatial location aware datasets|
|Netcdf Fortran||168||9||7 months ago||4||July 30, 2022||91||other||Fortran|
|Official GitHub repository for netCDF-Fortran libraries, which depend on the netCDF C library. Install the netCDF C library first.|
|Awesome Scholarly Data Analysis||143||10 days ago||2|
|A curated collection of resources on scholarly data analysis ranging from datasets, papers, and code about bibliometrics, citation analysis, and other scholarly commons resources.|
|Detecting Scientific Claim||111||2 years ago||7||Python|
|Extracting scientific claims from biomedical abstracts (powered by AllenNLP), demo:|
|Bio2rdf Scripts||99||2 years ago||3||mit||Java|
|Scripts that Bio2RDF users have created to generate RDF versions of scientific datasets|
|Bimcv Covid 19||89||2 years ago||4||mit||HTML|
|Valencia Region Image Bank (BIMCV) that combines data from the PadChest dataset with future datasets based on COVID-19 pathology to provide the open scientific community with data of clinical-scientific value that helps early detection of COVID-19|
|Sdslite||34||2 years ago||3||other||C#|
|Scientific DataSet library to work with NetCDF-like data sets from .NET.|
|Cellxgene Gateway||31||1||9 months ago||16||June 21, 2022||7||apache-2.0||Python|
|Cellxgene Gateway allows you to use the Cellxgene Server provided by the Chan Zuckerberg Institute (https://github.com/chanzuckerberg/cellxgene) with multiple datasets.|
|Pyrdm||27||4 years ago||2||gpl-3.0||Python|
|PyRDM is a Python-based library for research data management (RDM). It facilitates the automated publication of scientific software and associated input and output data.|
|Openreview||25||a year ago||9||Python|
|data from ICLR OpenReview and code for data analysis|
Copyright (C) 2014 Christian T. Jacobs, Alexandros Avdis, Gerard J. Gorman, Matthew D. Piggott. This file is part of PyRDM. PyRDM is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PyRDM is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with PyRDM. If not, see <http://www.gnu.org/licenses/>.
PyRDM is a Python module for research data management (RDM). It facilitates the automated online publication of scientific software and associated input and output data.
In order to use PyRDM you must build as well as configure the package. Build the package by carrying out the following steps:
git clone https://github.com/pyrdm/pyrdm.git pyrdm
cd pyrdm; sudo pip install -r requirements.txt
sudo make install
make docs. This will produce an HTML version of the documentation in the
docs/builddirectory. Alternatively, you can view the latest version of the documentation here.
The next step involves configuring PyRDM in order for it to access and upload files to Figshare, Zenodo or DSpace. Please see the PyRDM documentation for a graphical guide on how to do this.
PyRDM depends on:
fluidity-publishspecifically designed for the Fluidity CFD code.
When citing PyRDM, please use the following citation:
If you have any questions or comments about PyRDM, please send them via email to [email protected].