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21 to 30 of 85,477 Results
text/plain - 107.1 KB - MD5: d89d6b682189edfcfe83ddcfb2020c36
Microsatellite genotypes for ValTravers population in NewHybrid format.
Nov 13, 2020 - Portail Data INRAE
Rimet, Frederic; Chonova, Teofana; Gassiole, Gilles; Gusev, Evgenuy; Kahlert, Maria; Keck, François; Kelly, Martyn; Kulikovskiy, Maxim; Maltsev, Yevhen; Mann, David; Pfannkuchen, Martin; Trobajo, Rosa; Vasselon, Valentin; Wetzel, Carlos; Zimmermann, Jonas; Bouchez, Agnès, 2018, "Diat.barcode, an open-access barcode library for diatoms", https://doi.org/10.15454/TOMBYZ, Portail Data INRAE, V10
Diatoms (Bacillariophyta) are ubiquitous microalgae which produce a siliceous exoskeleton and which make a major contribution to the productivity of oceans and freshwaters. They display a huge diversity, which makes them excellent ecological indicators of aquatic ecosystems, and...
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet - 6.5 MB - MD5: b909030d26dc934a9f714b25e4e0f304
Oct 26, 2020 - LandmarkH2020 Dataverse
Saby, Nicolas P.A.; Chenu, Jean-Philippe; Szergi, Tamas; Csorba, Adam; Bertuzzi, Patrick; Toutain, Benoît; Picaud, Calypso; Gay, Laura; Creamer, R., 2020, "French RMQS soil profile and monitoring dataset with related management practices data", https://doi.org/10.15454/AIQ9WS, Portail Data INRAE, V1, UNF:6:HfeFeHIMAWpeh4m/FkViWw== [fileUNF]
This dataset corresponds to a datamart produced by the WP2 team of the Landmark H2020 project. 2 tables provided by France are available: One table of fact-gathering the results of the chemical and physical analyses of the soil profiles and monitoring. One table of fact-gathering...
text/tab-separated-values - 9.3 KB - MD5: 3771410abadac09c5e66e6100f8971d5
CSV file with soil dataset attributes explanation
text/tab-separated-values - 9.8 KB - MD5: 4107e6899d0fbb85b4128352088f054f
CSV file with management dataset attributes explanation
text/tab-separated-values - 1.1 MB - MD5: 1ccad0f1ce8247c36e15013a2bd7074c
Management practices dataset related to soil data from RMQS French national soil monitoring network
text/tab-separated-values - 10.1 KB - MD5: ce9bff7892027469646dc8be0ceee3e9
Decoding table of crop culture names
text/tab-separated-values - 14.4 MB - MD5: 48f5f25a0b2769ecf7ed54f0cba79b01
Soil dataset related to management data from RMQS French national soil monitoring network
Oct 19, 2020 - eabx
Laplace Treyture, Christophe; Derot Jonathan; Prévost Emilie; Le Mat Anne; Jamoneau Aurélien, 2020, "Phytoplankton morpho-functional trait dataset from French water-bodies", https://doi.org/10.15454/GJGIAH, Portail Data INRAE, V1
The recent development of functional approaches may allow evaluating other aspects of ecosystem quality, functions and interactions with abiotic parameters or other communities. Here, our aim was to create a phytoplankton trait database at the national scale for France. This data...
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