Automated Organization ProfileGRENOBLE INP
GRENOBLE INP
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 53.2 (sum of 52 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Step-by-step readme guide on how to replicate netCDF data.
Authors
- Blaise, Marine
No description available
Authors
- BINISKOS Nikolaos ;
- ALMANRIC Andreas ;
- ALVARADO Ernesto ;
- APANASENKO Irina ;
- BAPTISTA SANTOS Aelton ;
- BEDDRICH Lukas ;
- BEDRANE Zeyneb ;
- BERBECARIU Crina ;
- BERNDT Niklas ;
- BIEHL Ralf ;
- BILONIC Iva ;
- BOENI Peter ;
- BOENI Peter ;
- BOSSERHOFF Theresa ;
- BOURDAROT Frederic ;
- Truc Ha Bui ;
- E. Chanel ;
- CZAMLER Valentin ;
- DAKROUB Ali ;
- DULLE Martin ;
- Ralph Carlo Evidente ;
- GALVAN Vanessa ;
- GIANG MINH THANH Truc ;
- HAMMOUDA Sabreen ;
- HAN zehua ;
- HEINZE Leonie ;
- IHSAN Ahmad zainul ;
- KARYOS Kyriakos ;
- KLAUS Leonard ;
- KONIG Tobias ;
- KOSHCHII Oleksandr ;
- Alexandros Koutsioubas ;
- KRUTEVA Margarita ;
- LIEUTENANT Klaus ;
- Dalini D. Maharaj ;
- MAHHOUTI Zakaria ;
- MEZZADRA Gabriele ;
- NG PERRY ;
- OESS Christina ;
- OJSTEDT Oskar ;
- OWENS Jack ;
- PASCARIU Matei ;
- Topological sorting of magnetic colloidal bipeds ;
- PONOMAREVA Tatiana ;
- RATHORE Indrajeet Singh ;
- RENGEL Karoline ;
- RODRIGUEZ Jose-Enrique ;
- RUNDE Marc-Peter Paul Duncan ;
- Alba Sanz Prada ;
- SCHOENHEIT Henk ;
- STANEK Moritz ;
- STANIONYTE Auguste ;
- STEKIEL Michal ;
- THURUTHIYIL JOSE Amala ;
- VIEYRA HUERTA Alejandro ;
- VIOLINI Nicolo ;
- WAECHTLER Anna ;
- WAGNER Greta ;
- WARKENTIN Eduard ;
- YANG Yi
netCDF files of Maison en Terre. Contains a global netCDF file, and seperated by years.
Authors
- Daudon, Dominique ;
- Blaise, Marine
A comprehensive step by step how-to to replicate the data treatment workflow
Authors
- Blaise, Marine
Jupyter notebook on transforming data from faulty frquencies to a 5min standardized one.
Authors
- Blaise, Marine
Jupyter notebook. Step by step on how to replicate netCDF files, until the 5min frequency transformation.
Authors
- Blaise, Marine
Jupyter notebook for netCDF file creation, using BBC room data. Can create the global netCDF file.
Authors
- Blaise, Marine
Jupyter notebook for netCDF file creation, using BBC room data. Can create the seperated by years (2019 to 2024) netCDF files.
Authors
- Blaise, Marine
Jupyter notebook for netCDF file creation, using Maison en terre data. Can create the seperated by years (2018 to 2025) netCDF files.
Authors
- Blaise, Marine