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urgi / is / FAIDARE
Creative Commons Attribution 4.0 InternationalFAIDARE: FAIR Data-finder for Agronomic Research
It provides web services (based on the BrAPI standard) and a web interface with easy to use filters to facilitates the access to plant datasets from a federation of sources.
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LESSEM / Rpackages / rtaxrefdb
MIT LicenseUpdated -
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metexplore / metexplore-api / metexplore3-nodejs-api
Apache License 2.0Updated -
TEMPO / SIDO
GNU General Public License v3.0 or laterSIDO (Système d’Information pour les Données Orphelines) est une application web qui permet de déposer les données récoltées par des sources de données orphelines, c'est-à-dire qui ne disposent pas de système d’information, dans une base de données dédiée. tickets
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UMR G-EAU / CAWET
GNU Affero General Public License v3.0𝐂𝐀𝐖𝐄𝐓 (Calculation of Agronomical Water needs and EvapoTranspiration) is an open-source tool for automatic estimation of agricultural water needs
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PO2-Tools / PO²Manager
MIT LicenseUpdated -
R package for recovering and preparing useful data for damage appraisal in a French context
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Recherche Data Gouv / Entrepôt Recherche Data Gouv / Exemples API / Exemples APIS
GNU Affero General Public License v3.0Updated -
MetaboHUB / web-components / mth-graphs / mth-metabolic-graphs
CeCILL Free Software License Agreement v2.1Updated -
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LESSEM / Rpackages / AlpagesSentinelles
MIT LicenseUpdated -
Talanoa / ModeleIntegreAude
GNU Affero General Public License v3.0UpdatedUpdated -
Exploitation et maintenance du thésaurus INRAE, thésaurus ouvert et partagé couvrant les domaines de recherche d’INRAE. Il sert de référentiel au sein de l’institut pour indexer et annoter des documents, pages web, descriptions d’activités, jeux de d
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FME_team / F3M_Builder
MIT LicenseUpdated -
migale / Easy16S
GNU Affero General Public License v3.0Updated -
SCALES / R package treediff
GNU General Public License v3.0 or laterThis project is the source repository of the CRAN package 'treediff' https://cran.r-project.org/package=treediff.
The R package treediff performs Hi-C data differential analysis based on pixel-level differential analysis and a post hoc inference strategy to quantify signal in clusters of pixels. Clusters of pixels are obtained through a connectivity-constrained two-dimensional hierarchical clustering.
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This project is the source repository of the CRAN package 'SISIR' https://cran.r-project.org/package=SISIR.
This package can perform interval fusion and selection procedures in regression models with functional inputs. Implemented methods include a semiparametric approach based on Sliced Inverse Regression (SIR), as described in doi:10.1007/s11222-018-9806-6 (standard ridge and sparse SIR are also included in the package) and a random forest based approach, as described in doi:10.1002/sam.11705.
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