141 to 150 of 794 Results
2 déc. 2022 - UMR TETIS
Dupuy, Stéphane; Andriamanga, Andoniaina Valérie; Gaetano, Raffaele; Burnod, Perrine, 2022, "Antananarivo - 2022 Land cover map", https://doi.org/10.18167/DVN1/RE1MDM, CIRAD Dataverse, V3
We publish two land cover maps of the city of Antananarivo produced with data acquired in 2022 using a methodology combining machine learning and object-based image analysis (OBIA). This work follows on from work that resulted in a map of the same area in 2017. The maps are produ... |
2 déc. 2022 -
Antananarivo - 2022 Land cover map
Gzip Archive - 324,5 MB -
MD5: dacde6793345d8fcd55cf4ed26171c43
Land Cover Map - version1-2 - Esri Shape format // EPSG code (projection) : 32738 |
2 déc. 2022 -
Antananarivo - 2022 Land cover map
Gzip Archive - 183,5 MB -
MD5: a8ece3570e15d6ca7d20f2ec0f9a4dc8
Land Cover Map - version2-2 - Esri Shape format // EPSG code (projection) : 32738 |
2 déc. 2022 - UMR INTERTRYP
Thévenon, Sophie, 2022, "Medium density genotyping dataset of 39 cattle from five West African breeds, associated to the article "A Comparison of Phenotypic Traits Related to Trypanotolerance in Five West African Cattle Breeds Highlights the Value of Shorthorn Taurine Breeds" (Berthier et al 2015)", https://doi.org/10.18167/DVN1/APTZOC, CIRAD Dataverse, V1, UNF:6:YCYOQEERwlOPbFR85K9rtg== [fileUNF]
This dataset consists of genotypes of 39 animals belonging to five cattle breeds genotyped using the Illumina BovineSNP50 chip assay v2 [39] at the INRA Labogena platform (Jouy-en-Josas, France) using standard procedures. The animals were further infected by Trypanosoma congolens... |
Tabular Data - 1,1 KB - 1 Variables, 39 Observations - UNF:6:YCYOQEERwlOPbFR85K9rtg==
file containing the breed name, the breed code of the animals and two individual identifiers: Animal code as used in Berthier et al 2015 and in GEO GSE197108 dataset; and Animal ID as used in the genotyping file |
Unknown - 8,1 MB -
MD5: 4f36457517bb8c027e514ea6c5eca96e
genotyping data file named (39 rows, 108464 columns) that contains, for each individual, six information columns (Breed code, Animal ID and four columns with data coded 0 or U) and the genotypes (alleles 1 and 2, ACGT Illumina TOP format) for the 54229 SNPs. |
Unknown - 1,7 MB -
MD5: ec27291dde99bfab017024bea7d202e8
SNP map file named (54229 rows, 4 columns) that contains for each SNP, the autosome number, the SNP name, a column with data coded 0 and the SNP position on autosome. SNP are mapped on the bovine genome UMD3.1 assembly. |
2 déc. 2022 - UMR INTERTRYP
Thévenon, Sophie, 2022, "Whole blood transcriptome data of five West African cattle breeds before and during an infection by Trypanosoma congolense IL1180, inference on bovine trypanotolerance", https://doi.org/10.18167/DVN1/L9SHAX, CIRAD Dataverse, V1, UNF:6:wpyUSJA6nDclMtU/CKcEAA== [fileUNF]
Gene expression data, scripts for bioinformatic and statistical analyses, and output tables related to the paper entitled “Whole blood transcriptome profiles of trypanotolerant and trypanosusceptible cattle highlight a differential modulation of metabolism and immune response dur... |
Shell Script - 5,6 KB -
MD5: 20aecf6252bcb83508877b77c9bb4b1f
script: This file describes the bioinformatic steps of the RNA-seq analysis (mapping, gene count) |
Tabular Data - 66,3 KB - 16 Variables, 363 Observations - UNF:6:jtQhSAP9C4+vXZ8EzW9cgQ==
Output from IPA analysis for the input files edger_*_3DPI_0_13107_nested_IN_IPA.txt concerning the canonical pathways |