1 to 10 of 10 Results
Oct 13, 2020
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... |
Jun 25, 2020 - Chemometrics-Chemhouse
Chauvergne, Celine; Latrille, Eric; Rossard, Virginie; Bonnal, Laurent; Bastianelli, Denis; Griveau, Yves; Mechin, Valerie; Carrere, Helene; Jacquemot, Marie-Pierre; Reymond, Matthieu, 2020, "Spectra transfer models of near infrared spectra of organic waste and plant samples acquired on different spectrometers", https://doi.org/10.15454/XFTLV4, Portail Data INRAE, V1, UNF:6:UYqD1abWZBYKs+GORbnl9Q== [fileUNF]
This dataset presents two sets of raw near infrared spectra of different organic samples acquired on three different spectrometers in three labs: NIRFlex N-500 FT-NIR (BUCHI, France, serial number 1000001305) at LBE in Narbonne, NIR-System5000 (FOSS, Denmark, serial number 946306... |
Mar 4, 2020
Piry, Sylvain, 2020, "Données de réplication pour : Interplay between historical and current features of the cityscape in shaping the genetic structure of the house mouse (Mus musculus domesticus) in Dakar (Senegal, West Africa)", https://doi.org/10.15454/NBNSHH, Portail Data INRAE, V1, UNF:6:cpQPAtMbNjDfRmRRgKushw== [fileUNF]
Along with these data, the script MusDakar.r is a template provided as supplementary material of the following article: Claire Stragier, Sylvain Piry, Anne Loiseau, Mamadou Kane, Aliou Sow, Youssoupha Niang, Mamoudou Diallo, Arame Ndiaye, Philippe Gauthier, Marion Borderon, Laure... |
Aug 21, 2018 - PFEM Dataverse
Cédric Delporte; Florence Souard, 2018, "W4M00007_Coffea-leaves", https://doi.org/10.15454/1.4985472277740251E12, Portail Data INRAE, V2
Abstract:Study: Characterization of the coffee leaves metabolome composition in 9 species of Coffea (Rubiaceae) collected at 5 dates in 2016 (January – March - July- September – December) after aqueous extraction. A total of 169 samples (including 147 individual samples, 8 blanks... |
Aug 20, 2018 - PFEM Dataverse
Marie Tremblay-Franco, 2018, "W4M00006_BPA-MMusculus", https://doi.org/10.15454/1.4821558812795176E12, Portail Data INRAE, V2
Abstract:Study: Metabolic shifts induced in vivo after perinatal exposure to low doses of BPA in CD-1 mice were assessed. In this study conducted by the ToxAlim-MeX team and the Tufts University school of medicine (Boston, MA, USA) in collaboration with the AXIOM-MetaToul-MetaboH... |
Aug 20, 2018 - PFEM Dataverse
Yann Guitton; Sophie Goulitquer, 2018, "W4M00004_GCMS-Algae", https://doi.org/10.15454/1.4811272313071519E12, Portail Data INRAE, V2
Abstract:Study: Characterization of the physiological variations of the metabolome in algae exposed to 3 different abiotic stress (salt concentration). Dataset: The dataset contains 12 mzXML files created from Agilent RAW GC-MS file. 4 replicats per conditions: i) Condition 01: F... |
Aug 20, 2018 - PFEM Dataverse
Etienne Thévenot; Philippe Rinaudo, 2018, "W4M00003_Diaplasma", https://doi.org/10.15454/1.4811165052113186E12, Portail Data INRAE, V2
Abstract:Study: Identification of metabolomics signatures for patient stratification between type 1 versus type 2 diabetes mellitus. Dataset: plasma samples from 69 diabetic patients were analyzed by reversed phase (C18) ultra-high performance liquid chromatography (UPLC) coupled... |
Aug 20, 2018 - PFEM Dataverse
Etienne Thévenot, 2018, "W4M00002_Sacurine-comprehensive", https://doi.org/10.15454/1.481114233733302E12, Portail Data INRAE, V2
Abstract:Study: Characterization of the physiological variations of the metabolome in biofluids is critical to understand human physiology and to avoid confounding effects in cohort studies aiming at biomarker discovery. In this study conducted by the MetaboHUB French Infrastruct... |
Aug 20, 2018 - PFEM Dataverse
Etienne Thévenot, 2018, "W4M00001_Sacurine-statistics", https://doi.org/10.15454/1.4811121736910142E12, Portail Data INRAE, V2
Abstract:Study: Characterization of the physiological variations of the metabolome in biofluids is critical to understand human physiology and to avoid confounding effects in cohort studies aiming at biomarker discovery. Dataset: In this study conducted by the MetaboHUB French In... |
Aug 20, 2018 - PFEM Dataverse
Yann Guitton, 2018, "W4M00005_Ractopamine-Pig", https://doi.org/10.15454/1.4811287270056958E12, Portail Data INRAE, V2
Abstract:Study: Characterization of the physiological variations induced by ractopamine ingestion in pigs. Dataset: The dataset contains 164 mzXML files created from Q-Exactive (*.raw) files. 124 samples and 40 QCs injected in 4 batches. Design: 2 Classes (Treated, Controls) from... |