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11 to 20 of 41 Results
Plain Text - 3.0 KB - MD5: afde52ae33f3f637b280c937eee3576c
Data
excel spreadsheet saved in tabulated format : S1.6 - Statistics for the different groups of watersheds
Tabular Data - 4.6 KB - 15 Variables, 48 Observations - UNF:6:XwxhxKrrifwRpArBSQbJ0Q==
Data
Supplementary information related to using cosmogenic nuclides (in situ-produced 10Be, 26Al and 36Cl)
Plain Text - 3.3 KB - MD5: 83d93729cc8d4757b04e35b2b0667223
Documentation
Dataset citation, description and table of contents
Adobe PDF - 5.2 MB - MD5: 4f2bc9c2ea1c78a7bd3ec847856188a0
DataDocumentation
Supplementary information for Siame et al. "Natural versus anthropogenically-accelerated erosion in Central Brazil, a confrontation of time and space scales". Submitted to Earth's Future (AGU, Wiley).
Tabular Data - 3.2 KB - 13 Variables, 32 Observations - UNF:6:3j4iiNwEVa47Z77VqlKiKA==
Data
Supplementary tables for Siame et al. "Natural versus anthropogenically-accelerated erosion in Central Brazil, a confrontation of time and space scales". Submitted to Earth's Future (AGU, Wiley). The file includes 12 tables: select "Excel Spreadsheet - Original File Format" to do...
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
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
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