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1 to 9 of 9 Results
Jun 25, 2020 - Chemometrics-Chemhouse
Chauvergne, Celine; Latrille, Eric; Rossard, Virginie; Bonnal, Laurent; Bastianelli, Denis; Griveau, Yves; Mechin, Valerie; Carrere, Helene; Jacquemot, Marie-Pierre; Reymond, Matthieu, 2020, "Spectra transfer models of near infrared spectra of organic waste and plant samples acquired on different spectrometers", https://doi.org/10.15454/XFTLV4, Portail Data INRAE, V1, UNF:6:UYqD1abWZBYKs+GORbnl9Q== [fileUNF]
This dataset presents two sets of raw near infrared spectra of different organic samples acquired on three different spectrometers in three labs: NIRFlex N-500 FT-NIR (BUCHI, France, serial number 1000001305) at LBE in Narbonne, NIR-System5000 (FOSS, Denmark, serial number 946306...
Feb 3, 2020 - UREP
Martin, Raphael, 2020, "PaSim", https://doi.org/10.15454/WY0LJL, Portail Data INRAE, V1
This dataset contains the files necessary to use PaSim, namely the software and its user guide. IDDN: IDDN.FR.001.220024.000.R.P.2012.000.10000
Jan 17, 2020 - Vocabulaires Ouverts
Tireau, Anne; Cabrera-Bosquet, Llorenç; Neveu, Pascal, 2018, "Ontology of Experimental Events", https://doi.org/10.15454/APBGKK, Portail Data INRAE, V2
The Ontology of Experimental Events (OEEv), characterises events that occur during an experiment, e.g. dates of sowing, application of a given treatment, harvesting, measurements or sampling for -omic measurements, or any category of technical problem.
Jan 17, 2020 - Vocabulaires Ouverts
Tireau, Anne; Cabrera-Bosquet, Llorenç; Neveu, Pascal, 2018, "Ontology for Experimental Phenotypic Objects", https://doi.org/10.15454/PG4VUH, Portail Data INRAE, V2
The Ontology for Experimental Phenotypic Objects (OEPO), allows assigning types (e.g. Experimental organization and context, Environment type, Germplasm, Physical Object) to objects involved in phenotyping experiments and defining specialization hierarchy between them according t...
Jan 6, 2020 - Vocabulaires Ouverts
Nédellec, Claire; Marcel, Thierry; Sourdille, Pierre, 2018, "Wheat Trait and Phenotype Ontology", https://doi.org/10.15454/1.4382637738008071E12, Portail Data INRAE, V3
Wheat Trait and Phenotype Ontology is an ontology of wheat traits and environmental factors that affect these traits. They include resistance to disease, development nutrition, bread quality, etc. Environmental factors include biotic and abiotic factors.
Jan 6, 2020 - Vocabulaires Ouverts
Buche, Patrice, 2019, "Durum Wheat", https://doi.org/10.15454/QYUKWM, Portail Data INRAE, V2
The durum wheat ontology (DURUM_WHEAT) is dedicated to the sustainability analysis of the durum wheat chain.Current data available on this ontology concern durum wheat quality criteria criteria used in different countries (Moisture content rate, chemical content, etc.).
Aug 5, 2019 - Vocabulaires Ouverts
Verdelet, Daphné; Charruaud, Dorothée, 2019, "Beet Ontology", https://doi.org/10.15454/0JIL23, Portail Data INRAE, V2
This ontology was built as part of the AKER project. It describes variables used in beet phenotyping (experimental properties and measurement scale) for each institution (INRAE, Geves, ITB, Unversité d'Angers) and breeding companies (Florimond Desprez).
Apr 26, 2019 - Vocabulaires Ouverts
Bernard, Anthony; Germain, Eric, 2018, "Walnut Trait Ontology", https://doi.org/10.15454/AV5RT2, Portail Data INRAE, V3
This ontology gathers phenotypical traits and variables for walnut evaluation. These traits deal with phenology, in-shell walnut and kernel. They come from Descriptors for walnuts, IPGRI, 1994 or have been adapted or developed by Eric Germain.
Apr 17, 2019 - Experimental - Observation - Simulation Dataverse
Clo, Josselin, 2019, "Replication Data for: How does selfing affect the genetic variance of quantitative traits? An updated meta-analysis on empirical results in angiosperm species", https://doi.org/10.15454/OMDNEH, Portail Data INRAE, V3
4 files: -> a dataset with references -> 2 datasets used for R analyses -> Rmarkdown script to run analyses (Rstudio and Rmarkdown are needed)
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