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11 to 20 of 43 Results
Jun 24, 2020 - Experimental - Observation - Simulation Dataverse
Ringeval, Bruno, 2020, "Process-based emulator to explain the differences in simulated potential yield between Global Gridded Crop Models", https://doi.org/10.15454/9EIJWU, Portail Data INRAE, V1
Scripts at the basis of a study submitted to Geoscientific Model Development called "Potential yield simulated by Global Gridded Crop Models: a process-based emulator to explain their differences". The tgz file encompass three python scripts and shell scripts + directories to use...
Aug 13, 2020 - Vocabulaires Ouverts
Dibie, Juliette; Dervaux, Stéphane; Ibanescu, Liliana; Raad, Joe, 2018, "Process and Observation Ontology", https://doi.org/10.15454/1.4702114192525708E12, Portail Data INRAE, V4
A core ontology for modeling transformation processes and their observations. PO2 is part of an interdisciplinary project called Delicious concerning the production and transformation processes in food science. The project combines data from different disciplines like food compos...
Dec 19, 2019 - Vocabulaires Ouverts
Dervaux, Stéphane; Allard, Thomas, 2019, "PO² Dairy gels", https://doi.org/10.15454/THZ9I1, Portail Data INRAE, V3
Specialization of Process and Observation Ontology (PO²) on dairy gels.
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
Nov 21, 2019 - Experimental - Observation - Simulation Dataverse
Fabre, Frederic; Coville, Jérome; Cunniffe, Nik, 2019, "Optimising reactive disease management using spatially explicit models at the landscape scale", https://doi.org/10.15454/JWONRG, Portail Data INRAE, V3
R code associated with the book chapter "Optimising reactive disease management using spatially explicit models at the landscape scale". The R code describes a simple landscape-scale epidemic model to illustrate how dispersal and model structure can affect epidemic dynamics, as w...
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.
Jul 26, 2019 - Vocabulaires Ouverts
Tireau, Anne; Muljarto, Aunur-Rofiq; Salmon, Jean-Michel; Charnomordic, Brigitte; Buche, Patrice; Neveu, Pascal, 2019, "Ontology for Food Processing Experiment", https://doi.org/10.15454/RJKJBN, Portail Data INRAE, V2
OFPE is a generic ontology specialized for food processing experiments, where raw materials are transformed into final products. It includes different classes that represent products and activities during food transformation processes, which can be classified into four main conce...
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 7, 2020 - Vocabulaires Ouverts
Nédellec, Claire, 2018, "OntoBiotope", https://doi.org/10.15454/1.4382640528105164E12, Portail Data INRAE, V3
OntoBiotope is an ontology of microorganism habitats. Its modeling principle and its lexicon reflect the biotope classification used by biologists to describe microorganism isolation sites (e.g. GenBank, GOLD, ATCC). OntoBiotope is developed and maintained by the Meta-omics of Mi...
Feb 4, 2020 - Data-OLA Dataverse
Monet Ghislaine; Barbet Denis; Schellenberger Antoine; Enrico Guillaume; Anache Cédric, 2020, "OLA's Database Datatypes modeling diagrams", https://doi.org/10.15454/OHXVJY, Portail Data INRAE, V1
The OLA database contains data collected on 4 peri-alpine lakes (Lakes Aiguebelette, Annecy, Bourget, Geneva/Léman) and 24 high-altitude lakes of the northen French Alps and Pyrenees mountains. The OLA database was designed according to a relational model. Each type of data is mo...
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