DataSuds

Metrics

117,611 Downloads

Featured Dataverses

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

Publication Year: 2022

101 to 110 of 690 Results

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
2_Asia_Oceania_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 - 12.6 KB - MD5: 45dd12aa67af30d36636be39e3436737 Code This notebook will download and process (reproject, union Southeast Asia and Oceania, rasterize, synchronize in HR or LR and encoding) Asia and Oceania peat shapefiles
2_Asia_Oceania_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 - 7.3 KB - MD5: 7aadf793ebc05409196952a7e7477680 Code This code will download and process (reproject, union Southeast Asia and Oceania, rasterize, synchronize in HR or LR and encoding) Asia and Oceania peat shapefiles
2_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 - 204.2 KB - MD5: 49714f9c6d1bba4ef193a86103fd83c4 Code This notebook will download and process (reproject, union) peat shapefiles
2_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 - 6.5 KB - MD5: 3b50a90ec99dc1f651bfabd5ce1faecc Code This code will download and process (reproject, union) peat shapefiles
3_Seasonality_Index.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 - 331.4 KB - MD5: de477606342adce6dd7fecc70d03da0b Code This notebook will calculate the following variables: precipitation amount (yearly) and seasonality index (dimensionless) and the coefficient of variation of precipitation (CV)
3_Seasonality_Index.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 - 9.2 KB - MD5: 9122c11174bdf1944f009d4fa8b4c973 Code This code will calculate the following variables: precipitation amount (yearly) and seasonality index (dimensionless) and the coefficient of variation of precipitation (CV)
4_Tropical_Peats.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 - 215.2 KB - MD5: aea19aa99261170a0c1ab8a775eb5622 Code This notebook will process and plot the climate space (precipitation amount, seasonality index or precipitation CV) of tropical peatland areas in HR or LR

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

2_Asia_Oceania_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 - 12.6 KB -

Code

This notebook will download and process (reproject, union Southeast Asia and Oceania, rasterize, synchronize in HR or LR and encoding) Asia and Oceania peat shapefiles

2_Asia_Oceania_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 - 7.3 KB -

Code

This code will download and process (reproject, union Southeast Asia and Oceania, rasterize, synchronize in HR or LR and encoding) Asia and Oceania peat shapefiles

2_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 - 204.2 KB -

Code

This notebook will download and process (reproject, union) peat shapefiles

2_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 - 6.5 KB -

Code

This code will download and process (reproject, union) peat shapefiles

3_Seasonality_Index.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 - 331.4 KB -

Code

This notebook will calculate the following variables: precipitation amount (yearly) and seasonality index (dimensionless) and the coefficient of variation of precipitation (CV)

3_Seasonality_Index.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 - 9.2 KB -

Code

This code will calculate the following variables: precipitation amount (yearly) and seasonality index (dimensionless) and the coefficient of variation of precipitation (CV)

4_Tropical_Peats.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 - 215.2 KB -

Code

This notebook will process and plot the climate space (precipitation amount, seasonality index or precipitation CV) of tropical peatland areas in HR or LR

Add Data

Share Dataverse

Link Dataverse

Reset Modifications