3,361 to 3,370 of 4,146 Results
Apr 7, 2020 - Experimental - Observation - Simulation Dataverse
Jaeger, Christophe, 2020, "Biological and physico-chemical dataset from different freshwater fishponds systems in IMTA", https://doi.org/10.15454/PTXLHE, Portail Data INRAE, V1, UNF:6:l0SQY7eKa/ebgEllg1D51w== [fileUNF]
The data were collected from experimental freshwater fishpond systems (semi-intensive coupled with lagoon, semi-intensive and extensive). The dataset presented is composed of: 1. Individual fish parameters (live weight, length at fork, Fulton’s condition factor (K)), at stocking... |
Jul 16, 2020 -
Bioinformatic and statistical scripts to analyze metabarcoding data of fungal communities
application/octet-stream - 27.5 KB - MD5: 549eb8883cfa4c583e26681caf1677f6
R script of bioinformatic pipeline used on paired-end sequences joining with PEAR |
Feb 18, 2020 - Omics Dataverse
Vacher, Corinne, 2020, "Bioinformatic scripts used to analyze fungal metabarcoding data obtained from Vitis vinifera leaves", https://doi.org/10.15454/WLHBP6, Portail Data INRAE, V1, UNF:6:LYk3rj9ck7B/6LlcF6oIcQ== [fileUNF]
Bioinformatic scripts used to sort, filter and analyze fungal raw sequence data obtained by metabarcoding foliar, bark and ground cover samples collected in an untreated vineyard at INRA Villenave d'Ornon (France). Amplicon sequence variant (ASV) tables obtained for vine leaves a... |
Jul 7, 2020
Ma, Yuxin, 2020, "Bioinformatic and statistical scripts to analyze the leaf-associated fungal community of wild plant populations", https://doi.org/10.15454/JQPBOW, Portail Data INRAE, V2, UNF:6:+Ms4XeqLMk3Aqhstq1K0Wg== [fileUNF]
This dataset contains R-scripts to perform bioinformatic and statistical analysis on leaf-associated fungal communities of wild plant populations (Ma et al. Leaf-associated fungal and viral communities of wild plant populations differ between cultivated and natural ecosystems. Su... |
Dec 7, 2020 - Omics Dataverse
Fort, Tania; Pauvert, Charlie; Zanne, Amy; Ovaskainen, Otso; Caignard, Thomas; Barret, Matthieu; Compant, Stéphane; Hampe, Arndt; Delzon, Sylvain; Vacher, Corinne, 2020, "Bioinformatic and statistical scripts to analyze metabarcoding data of fungal communities", https://doi.org/10.15454/0CNFWS, Portail Data INRAE, V3, UNF:6:+ROFl+GYxv+1vFHcrzj8MA== [fileUNF]
This dataset contains R-scripts to analyse the diversity and composition of seed fungal communities (Fort et al., Maternal effects shape seed fungal communities in Quercus petraea. Submitted). The bioinformatic script was applied to raw sequences after paired-end sequences were j... |
Feb 21, 2020
Chonova, Teofana; Rimet, Frédéric; Lacroix Sonia; Bouchez Agnès, 2020, "Bioindication diatomées en Guyane française : comparaison microscopie et métabarcoding ADN", https://doi.org/10.15454/YIQFFP, Portail Data INRAE, V1, UNF:6:ZJHoinqTMl2Iyoc8VHxMgQ== [fileUNF]
Description des 3 fichiers csv : - list_morph.csv : Fichier csv donnant les listes floristiques diatomées obtenues en microscopie optique. - list_biomol.csv : Fichier csv donnant les listes floristiques diatomées obtenues en métabarcoding (méthode des séquences) - taxonomy.csv :... |
Dec 3, 2020 - UNIROMA
Zeppilli, Marco, 2020, "Bioelectromethanogenesis reaction in a tubular Microbial Electrolysis Cell (MEC) for biogas upgrading, datasets from the journal article Renewable Energy 158 (2020) 23-31", https://doi.org/10.15454/Y7STKK, Portail Data INRAE, V1
The dataset includes the raw data about table and figures from the article "M. Zeppilli, L. Cristiani, E. Dell’Armi, M. Majone, Bioelectromethanogenesis reaction in a tubular Microbial Electrolysis Cell (MEC) for biogas upgrading, Renewable Energy 158 (2020) 23-31" |
Jul 31, 2020
Piffady, Jeremy, 2020, "Biodivers OSCAR project - data for the France Stream macroinvertebrates biodiversity analysis", https://doi.org/10.15454/QY4UVN, Portail Data INRAE, V1
This dataset contains the data that were used in the Biodiversa OSCAR project (Optimising the configuration of woody riparian buffer strips along rivers to enhance biodiversity and ecosystem services) to study the effect of riparian woody buffers percentages on stream macroinvert... |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet - 981.1 KB - MD5: a78d846f63d37d57f909e55893524298
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Aug 31, 2020 -
MINTIA paper Simulated data
application/gzip - 15.1 MB - MD5: d2f51ac9e405276a0a2e91ef7b95f522
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