Metrics
126,756 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

101 to 110 of 705 Results
Adobe PDF - 1.4 MB - MD5: af5e83c04ed0f73171aec2689907674f
Documentation
Survey questionnaire, Malagasy version
Adobe PDF - 240.9 KB - MD5: 7312d18864a1bb6bdd6f8fc4788f448a
Documentation
Informed consent form and assent form (in French), PDF version
Adobe PDF - 699.5 KB - MD5: f454f320ca38fece7b7f4c84d8ce069e
Documentation
Study protocol (in French), PDF version
Tabular Data - 24.5 KB - 77 Variables, 49 Observations - UNF:6:WXQIKanIsaVN3Q5UmY676g==
DataGeospatial
Raw data of variables measured on soil sampled on climate gradient. EXCEL format
Tabular Data - 24.6 KB - 77 Variables, 49 Observations - UNF:6:cp4p0R5en79tIfcFSh0N9A==
DataGeospatial
Raw data of variables measured on soil sampled on climate gradient. Tab-separated values (TSV) format.
Unknown - 504.0 MB - MD5: 9d5d44f42a84c20758347c6b96246c01
Data
Fasta file of the new sequences absent from the reference
Tabular Data - 4.6 MB - 4 Variables, 152411 Observations - UNF:6:J8wm0efC8Lf7KQQ/txrx4Q==
Data
CSV file with the position of the new sequences on the genome reference. It contains one line per sequence, each containing 4 columns : (1) the sequence id, (2) its length (bp), (3) the chromosome name, (4) its position on the chromosome.
Jupyter Notebook - 8.6 KB - MD5: 48a731c69580534c9dc3435e2b0331f4
Code
This notebook will download raster data (monthly precipitation) in high-resolution (~1x1 km), clip the tropical region and downsample raster at low-resolution (~10x10 km).
Python Source Code - 5.3 KB - MD5: 7b4cb0723bfc35ab6251601c993a94e4
Code
This code will download raster data (monthly precipitation) in high-resolution (~1x1 km), clip the tropical region and downsample raster at low-resolution (~10x10 km).
Jupyter Notebook - 11.5 KB - MD5: 40073efc9b96795aa894a027776558f3
Code
This notebook will download and process (reproject, rasterize, synchronize in HR or LR and encoding) Africa peat shapefiles
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.