101 to 110 of 705 Results
Nov 8, 2022 -
Evaluation data for a multi-sectoral program to improve the resilience of households in Madagascar
Adobe PDF - 1.4 MB -
MD5: af5e83c04ed0f73171aec2689907674f
Survey questionnaire, Malagasy version |
Nov 7, 2022 -
Prospective evaluation of the specificity of serological tests for Human African Trypanosomiasis: documentation and data
Adobe PDF - 240.9 KB -
MD5: 7312d18864a1bb6bdd6f8fc4788f448a
Informed consent form and assent form (in French), PDF version |
Nov 7, 2022 -
Prospective evaluation of the specificity of serological tests for Human African Trypanosomiasis: documentation and data
Adobe PDF - 699.5 KB -
MD5: f454f320ca38fece7b7f4c84d8ce069e
Study protocol (in French), PDF version |
Oct 27, 2022 -
Analyses of soils sampled on Madagascar Highlands following temperature and rainfall gradients in 2014
Tabular Data - 24.5 KB - 77 Variables, 49 Observations - UNF:6:WXQIKanIsaVN3Q5UmY676g==
Raw data of variables measured on soil sampled on climate gradient. EXCEL format |
Oct 27, 2022 -
Analyses of soils sampled on Madagascar Highlands following temperature and rainfall gradients in 2014
Tabular Data - 24.6 KB - 77 Variables, 49 Observations - UNF:6:cp4p0R5en79tIfcFSh0N9A==
Raw data of variables measured on soil sampled on climate gradient. Tab-separated values (TSV) format. |
Oct 26, 2022 -
Supporting data and code for the African Rice Panreference produced by the frangiPANe software
Unknown - 504.0 MB -
MD5: 9d5d44f42a84c20758347c6b96246c01
Fasta file of the new sequences absent from the reference |
Oct 26, 2022 -
Supporting data and code for the African Rice Panreference produced by the frangiPANe software
Tabular Data - 4.6 MB - 4 Variables, 152411 Observations - UNF:6:J8wm0efC8Lf7KQQ/txrx4Q==
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.
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Jupyter Notebook - 8.6 KB -
MD5: 48a731c69580534c9dc3435e2b0331f4
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
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
This notebook will download and process (reproject, rasterize, synchronize in HR or LR and encoding) Africa peat shapefiles |
