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1 to 10 of 112 Results
Nov 21, 2020
Ngao, Jerome; Martinez, Sebastien; Marquier, Andre; Bluy, Sylvie; Saint-Joanis, Brigitte; Costes, Evelyne; Pallas, Benoit, 2020, "Carbon and Nitrogen leaf traits on 'Golden Delicious' apple trees", https://doi.org/10.15454/HGONZV, Portail Data INRAE, V1, UNF:6:xtMXQajN3V7ThSDwlfkOZA== [fileUNF]
This dataset was built on ‘Golden Delicious’ apple trees with either high or low crop loads. For these trees, we concomitantly assessed the impacts of intercepted light and crop load on within-tree spatial variability in carbon- and nitrogen-related traits. Furthermore, we analyz...
Nov 19, 2020
Sauvion, Nicolas, 2020, "Compilation of occurrence data for two psyllid species of the Cacopsylla pruni complex (Hemiptera: Psylloidea)", https://doi.org/10.15454/VC9UR5, Portail Data INRAE, V4, UNF:6:TyQ/EqI+52K1FxM4vYnDGw== [fileUNF]
Plant diseases associated with psyllid vectors have spread rapidly and globally among commercially important cultures, causing great economic damage (e.g., on stone fruit trees, citrus, and potatoes). A better understanding of the potential range of the vector and host species is...
Nov 17, 2020 - UMR ECOBIOP 1224 INRAE/UPPA Dataverse
Labonne, Jacques; Manicki, Aurélie; Tétillon, Marin, 2020, "Microsatellite typing data for Labonne et al. 2020 - Genes special issue", https://doi.org/10.15454/NDFQJD, Portail Data INRAE, V1
These data files provide the genotypes for 15 mincrosatellite markers in two populations using the NewHybrids format file.
Nov 13, 2020
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...
Nov 5, 2020
Lefrançois, Estelle; Blancher, Philippe; Rimet, Frédéric; Bouchez, Agnès, 2020, "Strategy for Successful Integration of eDNA-based Methods in Aquatic Monitoring", https://doi.org/10.15454/29LFIW, Portail Data INRAE, V1
Recent developments in the use of environmental DNA are opening up new horizons for the assessment of the quality of aquatic environments. These rapid and cost-effective methods make it possible to identify all the taxa present in an environmental sample (water or biota). The pro...
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...
Oct 13, 2020 - Experimental - Observation - Simulation Dataverse
Vandeputte, Marc; Clota, Frédéric; Sadoul, Bastien; Blanc, Marie-Odile; Blondeau-Bidet, Eva; Bégout, Marie-Laure; Cousin, Xavier; Geffroy, Benjamin, 2020, "Data for: Low temperature has opposite effects on sex determination in a marine fish at the larval/post-larval and juvenile stage", https://doi.org/10.15454/QSMRMX, Portail Data INRAE, V1, UNF:6:m8Y0FKwvLlvABQLtFvrTVg== [fileUNF]
This dataset contents: A) biometric and sex data on European sea bass juveniles submitted to 16 different temperature regimes. B) a R workflow (.rmd) to analyze the data in (A) C) gene expression data for ten genes including cyp19a1a and gsdf in fish from 4 of the temperature gro...
Oct 12, 2020
Barroso Bergada, Didac, 2020, "Microbial networks inferred from environmental DNA data for biomonitoring ecosystem change: strengths and pitfalls -- R code", https://doi.org/10.15454/ZWDFJK, Portail Data INRAE, V2, UNF:6:orRB87170pdVwzurwPbM3A== [fileUNF]
R code used to perform the network inference and analysis of "Microbial networks inferred from environmental DNA data for biomonitoring ecosystem change: strengths and pitfalls"
Oct 5, 2020
Barthe, Manon, 2020, "Raw data for "Phenotypic heterogeneity can be triggered by the molecular switch XylR during Escherichia coli adaptation from glucose to xylose" paper", https://doi.org/10.15454/XWCMZE, Portail Data INRAE, V1
Zip archive including : - files Data Fig1.xlsx ... Data Fig5.xlsx which contain data used for figures 1 to 5 of the paper - directory CytoFile which contains raw cytometric data of figures 4
Sep 21, 2020 - Biogeco Dataverse
Bert, Didier; Le Provost, Grégoire; Delzon, Sylvain; Plomion, Christophe; Gion, Jean-Marc, 2020, "Needle and stem histogical data for Pinus pinaster plasticity study", https://doi.org/10.15454/N8GLMY, Portail Data INRAE, V1
This dataset contains the data that correspond to the article "Needle anatomic plasticity is related to better water-use efficiency and resistance to embolism in fast-growing Pinus pinaster families in conditions of water scarcity". The dataset is composed of two files: Variables...
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