Metrics
134,233 Downloads
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

191 to 200 of 805 Results
Oct 5, 2022 - UMR Entropie
Vimono, Indra B.; Borsa, Philippe; Pouyaud, Laurent, 2022, "CO1-haplotype frequencies of long-spined sea urchin (Diadema setosum) from the Indo-Malay archipelago", https://doi.org/10.23708/ZWQEFN, DataSuds, V1, UNF:6:Gq/xRLgto2IIMOuZ+Jjuwg== [fileUNF]
The dataset contains three files in text (.txt) format or in tabulation-separated value (.tsv) format, that together characterize haplotype composition at the COI locus in the long-spined sea urchin Diadema setosum from the Indo-Malay archipelago. The dataset was produced in the...
Tabular Data - 88.7 KB - 7 Variables, 718 Observations - UNF:6:4bvZDYJ1M3O5NuwHcnBSKQ==
DataGeospatial
Table in TSV format (tabulation separated values) containing the sampling details of Diadema setosum in the Indo-Malay archipelago.
Plain Text - 824.1 KB - MD5: fc82449aa4460006096a8dedacd2f29c
Data
Alignment of nucleotide sequences of 718 Diadema setosum individuals (FASTA text format) from the Indo-Malay archipelago, over 1157-nucleotide long portion of the CO1 gene.
Tabular Data - 7.8 KB - 22 Variables, 260 Observations - UNF:6:XGdxjl5mQy7T8qBASxP5vA==
DataGenomics
Table in TSV format containing haplotype frequencies by sample.
Sep 30, 2022 - CES-PAYSAGE
Lemettais, Louise; Bégué, Agnès; Luque, Sandra; Laques, Anne-Elisabeth; Alleaume, Samuel; Demagistri, Laurent; Delaitre, Eric, 2022, "Cartographie des unités paysagères à partir de données satellitaires à Madagascar entre 2016 et 2020", https://doi.org/10.23708/LBGQQU, DataSuds, V1
La cartographie des paysages est cruciale pour le suivi et la compréhension d'un large éventail de processus, et pour relever des défis tels que l'aménagement du territoire, l'évaluation de la biodiversité, les interactions santé-environnement, et le suivi/évaluation des impacts...
Adobe PDF - 264.1 KB - MD5: ce73b51a4ae73697984e1eae1b1b4bb3
Documentation
Schéma général de la méthode, présenté en 5 parties.
TIFF Image - 3.2 MB - MD5: 283dd032588cfcfb61fae97abeb2e3f1
Data
ACP des 4 premières composantes principales des données MODIS NDVI à la résolution spatiale 250 m sur la zone d'étude.
TIFF Image - 5.6 MB - MD5: c6e959d1f4ef618c5b01d079dff6b43e
Data
Concaténation (stack) des 4 composantes principales de l'ACP MODIS NDVI (2016-2020) et de 2 indices de texture Haralick (Entropy et Haralick's Correlation) de 2 images NDVI Sentinel-2 (obtenu en mars et novembre 2019). Cette concaténation est utilisée pour réaliser la segmentatio...
Shapefile as ZIP Archive - 295.4 KB - MD5: aba51b64cbee7932dca058b76b250b40
Data
Fichier .zip de la segmentation validée durant le projet au format Shapefile. La segmentation est réalisée à l'aide de données multi-sources (MODIS et Sentinel-2). C'est une combinaison de 8 bandes (4 composantes principales MODIS et 2 indices de texture Haralick sur 2 images NDV...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.