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1 to 10 of 79 Results
Jul 3, 2020 - Metabolome of tomato fruit pericarp of gbp1-c CRISPR mutant
Deborde, Catherine, 2020, "1D 1H-NMR metabolomics of tomato fruit pericarp of gbp1-c mutants and Wild Type", https://doi.org/10.15454/RCGZZR, Portail Data INRAE, V2, UNF:6:XTfzUN9Uy4U+BCLOvg/pBw== [fileUNF]
1D 1H-NMR metabolomic profiling of 15 DPA, 20 DPA, 25 DPA and Breaker fruit pericarp from the WT, gbp1-c4 and gbp1-c8 independent mutant lines of tomato.
Jun 11, 2020 - PMB Metabolomics
Deborde, Catherine; Roch, Léa; Moing, Annick; Jacob, Daniel, 2019, "1D 1H-NMR profiling of 8 fleshy fruits (mixed-stage samples)", https://doi.org/10.15454/BQHGR9, Portail Data INRAE, V3, UNF:6:CVoLl0fa9rXcSn5u2yGRmQ== [fileUNF]
1D 1H-NMR metabolomic profiling of 8 fleshy fruit species, including three herbaceous species, eggplant, pepper and cucumber, three tree species, apple, peach and clementine, and two vines, kiwifruit and grape. “stage-mixture sample”, dedicated to the identification of major solu...
Sep 26, 2018 - Omics Dataverse
Deborde, Catherine; Fontaine, Jean-Xavier; Molinié, Roland; Botana, Adolfo; Jacob, Daniel, 2018, "1D 1H-NMR profiling of wheat samples", https://doi.org/10.15454/ERCVZR, Portail Data INRAE, V1
NMR metabolomic profiling of wheat samples recorded on three sites (JEOL400, Bruker 500 and Bruker 600 MHz) - To be used with NMRProcFlow (https://nmrprocflow.org)
Jan 15, 2021
Chonova, Teofana; Keck, Francois; Bouchez, Agnès; Rimet, Frederic, 2020, "A ready-to-use database for DADA2: Diat.barcode_rbcL_263bp_DADA2 based on Diat.barcode v9", https://doi.org/10.15454/QBLSXP, Portail Data INRAE, V2
This database is an adaptation for DADA2 of Diat.barcode v9. Length of sequences is 263 bp ------------------------- Rimet, Frederic; Chonova, Teofana; Gassiole, Gilles; Gusev, Evgenuy; Kahlert, Maria; Keck, François; Kelly, Martyn; Kulikovskiy, Maxim; Maltsev, Yevhen; Mann, Davi...
Mar 23, 2018 - Omics Dataverse
Legras, Jean-Luc; Galeote, Virginie; Bigey, Frédéric; Camarasa, Carole; Marsit, Souhir; Nidelet, Thibault; Sanchez, Isabelle; Couloux, Arnaud; Guy, Julie; Franco-Duarte, Ricardo; Marcet-Houben, Marina; Gabaldon, Toni; Schuller, Dorit; Sampaio, José Paulo; Dequin, Sylvie, 2018, "Adaptation of S. cerevisiae to fermented food environments reveals remarkable genome plasticity and the footprints of domestication.", https://doi.org/10.15454/2VZ16D, Portail Data INRAE, V1
Different Variant data set combining genotypic data data from the newly sequenced strains and data from available genomes sequences obtained at SGD. Data at vcf format or at hapmap format (.ped files).
Jan 10, 2020 - ThaliaDB maize Dataverse
Nicolas, Stephane; Negro, Sandra; Madur, Delphine; Clipet, Camille; Combes, Valérie; Bauland, Cyril; Tardieu, François; Charcosset, Alain; Moreau, Laurence, 2020, "Amaizing Dent Panel Genotyping Dataset (354 Public Lines)", https://doi.org/10.15454/GAHEU0, Portail Data INRAE, V1, UNF:6:xDkI2MetKCmc6/d1u04ZkA== [fileUNF]
Genotyping matrix of a collection of 354 dent maize inbred lines corresponding to the "Public Amaizing Dent Panel". This panel includes: (i) 254 dent inbred lines from "Drops panel" assembled in the frame of F7P European projects DROPs (FP7-244374, PI: F. Tardieu) and (ii) 100 de...
Jul 30, 2019 - Omics Dataverse
Pauvert, Charlie; Vallance, Jessica; Delière, Laurent; Buée, Marc; Vacher, Corinne, 2019, "Amplicon Sequence Variant (ASV) table obtained by metabarcoding foliar fungal communities in conventional and organic vineyards", https://doi.org/10.15454/WOICSE, Portail Data INRAE, V1, UNF:6:PSwFBpb4Vxgr5rwUlkcPUQ== [fileUNF]
This Amplicon Sequence Variant (ASV) table was obtained by metabarcoding foliar fungal communities in conventional and organic vineyards. This table was generated after the application of the bioinformatics scripts (at https://doi.org/10.15454/NSHUAQ) to the sequences available a...
Mar 8, 2019 - Multi Criteria Assessment Methods
Membré, Jeanne-Marie; Aubin, Joël; van der Werf, Hayo; Gésan-Guiziou, Geneviève, 2019, "Annotation data about Multi Criteria Assessment Methods used in Animal Genetics : the French National Institute for Agricultural Research (INRA-GA) experience", https://doi.org/10.15454/DACDJM, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers belonging to the Animal Genetics department. Those researchs aim to understand the genetic determinism of the traits observed in f...
Mar 8, 2019 - Multi Criteria Assessment Methods
Alaphilippe, Aude; Collet, Catherine, 2019, "Annotation data about Multi Criteria Assessment Methods used in Plant Health and Environment: the French National Institute for Agricultural Research (INRA-SPE) experience", https://doi.org/10.15454/3SI1GB, Portail Data INRAE, V2, UNF:6:gfLdB4WVXzg8A986MUUPFA== [fileUNF]
This data article contains annotation data characterizing Multi Criteria Assessment Methods proposed in the scientific literature by INRA researchers belonging to the Plant Health and Environment department. Its research aims to contribute to the development of a productive but e...
Jul 30, 2020
Le Dantec, Loick; Girollet, Nabil; Jérôme, Gouzy; Erika, Sallet; Sébastien, Carrère; Mathieu, Fouché; Jose Quero-Garcia; Elisabeth, Dirlewanger, 2020, "Assembly and annotation of 'Regina' sweet cherry genome", https://doi.org/10.15454/KEW474, Portail Data INRAE, V1
This dataset includes the preliminary assembly and structural annotation of the version 1 (V1) of 'Regina' sweet cherry genome, following genome sequencing using PacBio long reads and optical mapping. We have reconstructed the pseudomolecules at near chromosome level using high d...
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