471 to 480 of 8,717 Results
ZIP Archive - 312.7 MB -
MD5: f839ffbdeedc71ee1d97d9b6621af020
Scanned slides acquired by Gautier on April 4, 1988 |
ZIP Archive - 826.2 MB -
MD5: 32bd2e35f13d1c0493e27bdc9bd52e20
Orthoimages WGS84/UTM30N |
PNG Image - 1.3 MB -
MD5: f020dd34eb3de5964bb9c4d431fcfda8
Quicklook |
TIFF Image - 333.2 MB -
MD5: 4b85a060d3fe1463ceb0b6fe6dcc9778
GIS raster layer WGS84/UTM30N |
Shapefile as ZIP Archive - 19.9 KB -
MD5: 8565f084ba73f6a1f2df4f95f875fa33
Shapefile footprint of orthoimages |
Nov 4, 2025 - Rainfall grids data of Africa : données de grilles de pluie en Afrique
Mahé, Gil; Rouché, Nathalie; Dieulin, Claudine; Boyer, Jean-François; Boubacar, Ibrahim; Paturel, Jean-Emmanuel, 2025, "Isohyets of annual rainfall map of Africa", https://doi.org/10.23708/BAR411, DataSuds, V2
Result of a long experience in cooperation with the African meteorological departments and of the management of data bases, this map displays the annual rainfalls over a 60-year period. Maps representing rainfall over the whole African continent are rare, and a map dealing with o... |
Nov 4, 2025 -
Isohyets of annual rainfall map of Africa
Adobe PDF - 417.9 KB -
MD5: accd137de5de10e07c270f559ba3bcb3
Représentation des isohyètes |
Nov 4, 2025
L'UMR SECOPOL a été créée en 2012 à l’initiative de l’Université de la Polynésie française (UPF), de l’Ifremer, de l’IRD et de l’Institut Louis Malardé (ILM). L'UMR SECOPOL a pour objectif d’accompagner la Polynésie française dans une stratégie de développement économique durable... |
Oct 29, 2025 - GrAnnoT data and output
Marthe, Nina; Sabot, Francois, 2025, "Data used for the analysis described in GrAnnoT paper", https://doi.org/10.23708/DO1RTF, DataSuds, V6
GrAnnoT is an annotation transfer tool for pangenome graph. It was tested and compared to other approaches, and the data necessary for these tests is available in this dataset. It includes mainly pangenome graphs, genomes, and annotations. |
Oct 29, 2025 -
Data used for the analysis described in GrAnnoT paper
Plain Text - 5.4 KB -
MD5: 3754471d5b9f8b8e5bd6739a2cfe643f
Contains a description of all files in this dataset. |
