Automated Author ProfileGelens, Lendert
Associatie KU Leuven0000-0001-7290-9561
Gelens, Lendert
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author'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: 17.7 (sum of 8 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The repository contains several Python scripts, one ".npy" file with data necessary to run a section of "abDiagram.py", and a "README.md" file with detailed documentation on how to use each script, including its subdivision into cells. The "README.md" also provides specific parameters for reproducing each figure from the publication.
Authors
- Cebrián-Lacasa, Daniel ;
- Ruiz-Reynés, Daniel ;
- Parra-Rivas, Pedro ;
- Gelens, Lendert
Archived version of replication data used for the manuscript "Enhancing model identification with SINDy via nullcline reconstruction". Instructions on the data can be found in the ReadMe file here and the Gitlab respository.
Authors
- Prokop, Bartosz ;
- Frolov, Nikita ;
- Gelens, Lendert
These Python scripts contain all the necessary functions to reproduce the results presented in the paper. The ".npy" and ".txt" files contain data, which can be replicated with the code, but are still required to run certain sections of the code. The scripts are further subdivided in cells that are thought to be run independently. Additional information on each data file and each cell of the script is given in the README.md file.
Authors
- Cebrián Lacasa, Daniel ;
- Leda, Marcin ;
- Goryachev, Andrew B. ;
- Gelens, Lendert
Archived version of data needed to reproduce result figures shown in the manuscript: "From biological data to oscillator models using SINDy". The data contains used experimental data which has been taken from literature (BZ reaction, glycolytic oscillations) and self-generated (simple pendulum). The other data contains generated results for different generic oscillator models (Fitzhugh, Goodwin, Mass Action) and SINDy extensions (SINDy-PI). More details can be found in the ReadMe file.
Authors
- Prokop, Bartosz ;
- Gelens, Lendert
Archived version of code used for the manuscript "From biological data to oscillator models using SINDy". The code has been developed around the PySINDy package (version 1.7) of SINDy for Python (version 3.8.12). More details on the requirements can be found in the 'requirements.txt'. Instructions on how to use the scripts can be found in the ReadMe file here and the Gitlab respository.
Authors
- Prokop, Bartosz ;
- Gelens, Lendert
Archived version of code used for the manuscript "Enhancing model identification with SINDy via nullcline reconstruction". The code has been developed around the PySINDy package (version 1.7) of SINDy for Python (version 3.8.12). Instructions on how to use the scripts can be found in the ReadMe file here and the Gitlab respository.
Authors
- Prokop, Bartosz ;
- Frolov, Nikita ;
- Gelens, Lendert
Archived version of codes used in the manuscript: "Challenges in identifying simple pattern-forming mechanisms in the development of settlements using demographic data".
Authors
- Prokop, Bartosz ;
- Gelens, Lendert ;
- Pelz, Peter F. ;
- Friesen, John
Archived version of necessary data and figures for the manuscript, with additional data necessary to recreate certain figures: "Challenges in identifying simple pattern-forming mechanisms in the development of settlements using demographic data".
Authors
- Prokop, Bartosz ;
- Gelens, Lendert ;
- Pelz, Peter F. ;
- Friesen, John