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Publication Year: 2022

111 to 120 of 727 Results

Analyses_soils_Madagascar_Highlands.tab 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== DataGeospatial Raw data of variables measured on soil sampled on climate gradient. EXCEL format
Analyses_soils_Madagascar_Highlands.tsv 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== DataGeospatial Raw data of variables measured on soil sampled on climate gradient. Tab-separated values (TSV) format.
africanRice_nrctgs_V1.fasta Oct 26, 2022 - Supporting data and code for the African Rice Panreference produced by the frangiPANe software Unknown - 504.0 MB - MD5: 9d5d44f42a84c20758347c6b96246c01 Data Fasta file of the new sequences absent from the reference
africanRice_nrctgs_V1_placedOnGenome.tab 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== 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.
1_Data_Import_Precipitation.ipynb Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis 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).
1_Data_Import_Precipitation.py Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis 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).
2_Africa_Data_Import_Peat.ipynb Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis 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
2_Africa_Data_Import_Peat.py Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Python Source Code - 6.4 KB - MD5: 750b408358fe0d10469db8eb7a728a43 Code This code will download and process (reproject, rasterize, synchronize in HR or LR and encoding) Africa peat shapefiles
2_America_Data_Import_Peat.ipynb Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Jupyter Notebook - 13.1 KB - MD5: 4acb1d26c60c15e8ad472188b965c80c Code This notebook will download and process (reproject, union South and North America, rasterize, synchronize in HR or LR and encoding) America peat shapefiles
2_America_Data_Import_Peat.py Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis Python Source Code - 7.6 KB - MD5: ee5dc376ed5f2be49e4125105bde2bea Code This code will download and process (reproject, union South and North America, rasterize, synchronize in HR or LR and encoding) America peat shapefiles

Analyses_soils_Madagascar_Highlands.tab

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 -

DataGeospatial

Raw data of variables measured on soil sampled on climate gradient. EXCEL format

Analyses_soils_Madagascar_Highlands.tsv

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 -

DataGeospatial

Raw data of variables measured on soil sampled on climate gradient. Tab-separated values (TSV) format.

africanRice_nrctgs_V1.fasta

Oct 26, 2022 - Supporting data and code for the African Rice Panreference produced by the frangiPANe software

Unknown - 504.0 MB -

Data

Fasta file of the new sequences absent from the reference

africanRice_nrctgs_V1_placedOnGenome.tab

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 -

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.

1_Data_Import_Precipitation.ipynb

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Jupyter Notebook - 8.6 KB -

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).

1_Data_Import_Precipitation.py

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Python Source Code - 5.3 KB -

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).

2_Africa_Data_Import_Peat.ipynb

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Jupyter Notebook - 11.5 KB -

Code

This notebook will download and process (reproject, rasterize, synchronize in HR or LR and encoding) Africa peat shapefiles

2_Africa_Data_Import_Peat.py

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Python Source Code - 6.4 KB -

Code

This code will download and process (reproject, rasterize, synchronize in HR or LR and encoding) Africa peat shapefiles

2_America_Data_Import_Peat.ipynb

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Jupyter Notebook - 13.1 KB -

Code

This notebook will download and process (reproject, union South and North America, rasterize, synchronize in HR or LR and encoding) America peat shapefiles

2_America_Data_Import_Peat.py

Oct 21, 2022 - Hydroclimatic vulnerability of peat carbon in the central Congo Basin: codes for age-depth models, geospatial data processing and analysis

Python Source Code - 7.6 KB -

Code

This code will download and process (reproject, union South and North America, rasterize, synchronize in HR or LR and encoding) America peat shapefiles

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