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1 to 10 of 9,678 Results
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...
Apr 9, 2019
Selka, Faiçal; Burguet, Jasmine; Blein, Thomas; Biot, Eric; Laufs, Patrick; Andrey, Philippe, 2019, "3D dynamic statistical atlasing of cellular parameters during leaf morphogenesis.", https://doi.org/10.15454/SJAQND, Portail Data INRAE, V1
The movie shows the dynamic reconstruction of the developmental trajectory of a leaf from a collection of fixed 3D samples at successive developmental stages. Averages of cell volumes measured on individual organs are mapped using false colors. The algorithmic reconstruction was...
Sep 26, 2019
Bonal, Raúl; Guichoux, Erwan; Delcamp, Adline; Laizet, Yec'han; Hampe, Arndt, 2019, "70 highly validated SNP markers for Quercus ilex", https://doi.org/10.15454/AOVOO2, Portail Data INRAE, V1
70 highly validated SNP markers for Quercus ilex developped from ddRAD-Seq data following Garcia et al., 2018. PCR primer sequences and single base extension primers for MassArray analysis are provided.
Jul 11, 2019 - Experimental - Observation - Simulation Dataverse
Gaudin, Valerie; Andrey, Philippe, 2019, "A collection of 3D images of Arabidopsis thaliana cell nuclei", https://doi.org/10.15454/1HSOIE, Portail Data INRAE, V1
This dataset contains >200 images of nuclei from Arabidopsis thaliana plantlets. Nuclei were isolated and DAPI-stained prior to confocal imaging. See reference Andrey et al 2010 below for further details on sample preparation and imaging protocols. Following imaging, the images w...
May 21, 2019 - URGI Plant and Fungi Dataverse
Le Paslier, Marie-Christine; Choisne, Nathalie; Bacilieri, Roberto; Boursiquot, Jean-Michel; Bras, Marc; Brunel, Dominique; Chauveau, Aurélie; Hausmann, Ludger; Lacombe, Thierry; Laucou, Valérie; Launay, Amandine; Marchal, Cécile; Martinez-Zapater, José-Miguel; Berard, Aurélie; Quesneville, Hadi; Töpfer, Reinhard; Torres-Perez, Rafael; Adam-Blondon, Anne-Françoise, 2019, "A dataset of 9.896 single nuclear polymorphisms for 112 wild grapes, obtained with the GrapeReSeq 18K Vitis chip", https://doi.org/10.15454/9RUCEP, Portail Data INRAE, V3
The dataset, comprising 9.896 SNPs for 112 wild grapes (Vitis vinifera subsp. sylvestris), is made available here in support of the paper : Ramos-Madrigal J, Wiborg Runge AK, Bouby L, Lacombe T, Samaniego-Castruita JA, Adam-Blondon AF, Figueiral I, Hallavant C, Martínez-Zapater J...
Nov 5, 2019 - URGI Plant and Fungi Dataverse
Millet, Emilie J.; Pommier, Cyril; Buy, Mélanie; Nagel, Axel; Kruijer, Willem; Welz-Bolduan, Therese; Lopez, Jeremy; Richard, Cécile; Racz, Ferenc; Tanzi, Franco; Spitkot, Tamas; Canè, Maria-Angela; Negro, Sandra S.; Coupel-Ledru, Aude; Nicolas, Stéphane D.; Palaffre, Carine; Bauland, Cyril; Praud, Sébastien; Ranc, Nicolas; Presterl, Thomas; Bedo, Zoltan; Tuberosa, Roberto; Usadel, Björn; Charcosset, Alain; van Eeuwijk, Fred A.; Draye, Xavier; Tardieu, François; Welcker, Claude, 2019, "A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios", https://doi.org/10.15454/IASSTN, Portail Data INRAE, V2, UNF:6:zF9w0A2f+MHeW7maeeXJWA== [fileUNF]
This dataset comes from the European Union project DROPS (DROught-tolerant yielding PlantS). A panel of 256 maize hybrids was grown with two water regimes (irrigated or rainfed), in seven fields in 2012 and 2013, respectively, spread along a climatic transect from western to east...
Feb 14, 2019
Andrianantenaina, Anjy Nandrianina; Rathgeber, Cyrille B. K.; Pérez-de-Lis, Gonzalo; Cuny, Henri; Ruelle, Julien, 2019, "A novel histologic approach to quantify the intra-annual dynamics of carbon sequestration in spruce forming wood", https://doi.org/10.15454/PINS1H, Portail Data INRAE, V1, UNF:6:mExKB5WfrTGbk9DrjPmioQ== [fileUNF]
The dataset is compoused of two main variables (xylem radial increment measured along three radial files M1-M2-M3, and cell wall proportion CWP measured in the forming xylem) needed in a novel histologic approach to estimate the intra-annual dynamics of stem radial growth and abo...
Mar 5, 2019 - CARRTEL Dataverse
Keck, François; Rimet, Frédéric; Vasselon, Valentin; Bouchez, Agnès, 2019, "A ready-to-use database for DADA2: Diat.barcode_rbcL_312bp_DADA2", https://doi.org/10.15454/HNI1EK, Portail Data INRAE, V1
This database is an adaptation for DADA2 of : Vasselon, Valentin; Rimet, Frederic; Bouchez, Agnès, 2018, "Rsyst::diatom_rbcl_align_312bp database: a database adapted to DNA metabarcoding (version v7: 23-02-2018)", https://doi.org/10.15454/HYRVUH, Portail Data Inra, V1 This versio...
Jun 13, 2019 - Experimental - Observation - Simulation Dataverse
Le Goff, Noël, 2019, "Above and belowground biomass data for a set of beech trees of different age and crown classes sampled in Hesse state forest (NE France) with a view to analyzing the distribution and the allocation of biomass in the tree", https://doi.org/10.15454/8CLEGO, Portail Data INRAE, V1, UNF:6:HDb+DRUgMjU4MmuN/sKVVA== [fileUNF]
A first set (samples 1 and 2 in the data tables) comprising 23 beech (Fagus sylvatica L.) trees of different crown classes (dominant, co-dominant, intermediate, suppressed), aged 30 in average, was selected and felled in 1996-1997 in a compartment of the state forest of Hesse (NE...
Nov 15, 2019 - Omics Dataverse
Zemb, Olivier, 2019, "Absolute quantitation of microbes using 16S rRNA gene metabarcoding: a rapid normalization of relative abundances by quantitative PCR targeting a 16S rRNA gene spike-in standard", https://doi.org/10.15454/YWMMH4, Portail Data INRAE, V1, UNF:6:F0zGeneCWQ7Kv1ouvU+bEQ== [fileUNF]
Metabarcoding of the 16S rRNA gene is commonly used to characterize microbial communities, by estimating the relative abundance of microbes. Here we present a method to retrieve the concentrations of the 16S rRNA gene per gram of any environmental sample using a synthetic standar...
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