Datasets, code scripts, and some example files from a brief presentation given at Library 2.019 Open Data Presentation, June 2019.
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Updated
Jun 26, 2020 - R
Datasets, code scripts, and some example files from a brief presentation given at Library 2.019 Open Data Presentation, June 2019.
Share Science with Sheets for Google Sheets™ (sCubed)
MDdb Science Gateway
GitHub pages for FAIReScience workshop collocated at IEEE eScience conference
FAIR Data Management in Life Sciences - 2022 Course by ELIXIR Norway
Matlab functions to convert intracellular electrophysiology data to Neurodata Without Borders (NWB) file format.
The repository corresponding to the MTSR paper
This repository contains the examples and models that can be used for data FAIRization.
Python functions to convert intracellular electrophysiology data to Neurodata Without Borders (NWB) file format.
Python functions to convert calcium imaging data and associated intracellular electrophysiology data to Neurodata Without Borders (NWB) file format
Repo for FAIR Research Data Management FAIR in (bio) Practice workshop
💐 A library to describe workflow written in python using semantic technologies.
A cookbook about FAIR Digital Objects. Feel free to suggest recipes via issues.
A source for TIBHannover/2018-07-09-FAIR-Data-and-Software (contact: @katrinleinweber)
This repository contains documents related to the FAIRization of the COSME² consortium datasets.
Python functions to convert ecephys recordings and associated behavioural data to Neurodata Without Borders (NWB) file format
🔏📃 PhoenixDOMString🚀SAMkenXEcosystem📃Main VirtualGL and audited repository.New features optimization.
Matlab functions to convert calcium imaging data and associated intracellular electrophysiology data to Neurodata Without Borders (NWB) file format
📊 A streamlined tool designed to simplify FAIR evaluations for publications, datasets, or research software. Tailored for the research community, it offers a quick process for obtaining FAIR evaluations, making it easier for researchers to use during academic assessments
Enable sustainable and fair mobility on land using modular vehicles that brings minimal harm to peoples and planet and a vision for the next generations.
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