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Connecteur entre dataverse et jupyterhub

SATLAND is an application to detect and characterize hotspots of change. It is based on Python libraries (xarray, Bfast, rasterio for back-end, Streamlit for Front-End)

SAMBA (R) est une interface pour analyser les résultats de sampling de réseaux métaboliques générés à partir de SAMBApy sous Python. Elle est composée d'une une partie comparaison (calcul de différence) et une partie visualisation graphique des résultats.

https://samba.sk8.inrae.fr/

planemo 4 SIWAA

shinySbm is a package containing a shiny application. This application is build for network analysis based on the sbm package made by Chiquet J, Donnet S and Barbillon P (2023) CRAN. It allow to apply and explore the outputs of a Stochastic Block Model. It is useful if you want to analyse your data (could be adjacency matrix or edges list) without R language knowledge or to learn the basic lines of the sbm package.

RADIS - Retrieve Agronomic Data in a Sector, R package support : https://umr-g-eau.pages-forge.inrae.fr/radis

The radis package aims to facilitate the extraction of environmental data from various cartographic or spatial sources or APIs. It allows for the retrieval of this information using specific spatial shape. This package also formats the extracted data in a way that makes it easily exploitable for further analysis.

This project is the entrypoint for an Information System dedicated to manage a forest experimentation metadata catalog. It relies on a metadata standard available at URL https://data.inrae.fr/dataset.xhtml?persistentId=doi:10.15454/ELXRGY.

Used to manage account, policies and sources. Access reserved to insylva administrators and source managers

In frame of EVENT project, all code to build a docker image for the Caulifinder tool. It allows discovering Caulimoviridae sequences in plant genomes.

Interactive Reservoir MAnagement Risk Assessment (IRMaRA) is a R Shiny interface providing probability of failure of flood and drought objective at key locations downstream of the 4 lakes regulating the Seine River.

Visualisation de données métagénomiques.

https://inspect.sk8.inrae.fr/

L'application permet de simuler la dynamique spatio-temporelle de populations de moustiques Aedes (albopictus et aegypti) dans divers environnements et la dynamique de transmission de trois arboviroses : dengue, zika, chikungunya.

Lien vers l'application : https://arbocarto-r-app.sk8.inrae.fr

select or stitch the best image for each uplot and save it in "selected_images" directory