Digital table data of Livestock population of Koshi Basin. The dataset is compiled using data sources from Statistical information on Nepalese agriculture, MoAD(2012); Economic Survey (2011/2012), Government of Bihar, India. Koshi basin consist more than 23 million big and medium sized livestock (cow, buffalo, sheep, goat and pig).

Digital grid dataset of monthly mean temperature (August) for the period of 1950-2000 of Hindu Kush Himalayan (HKH) Region. The dataset is derived from WorldClim (http://www.worldclim.org/), and major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet. Monthly mean temperature data set consists of 12 raster files, one for each month, showing mean values derived from monthly temperature readings. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid.

Digital grid dataset of Slope Steepness factor (S) of Koshi basin. It represents the effect of slope steepness on erosion. Soil loss increases more rapidly with slope steepness than it does with slope length. Slope steepness is derived from SRTM DEM 90 meter spatial resolution data.

Landslide data of Koshi basin is digitized from topo sheets published in 1990s.

Digital grid dataset of minimum monthly temperature (February) for the period of 1950-2000 of Hindu Kush Himalayan (HKH) Region. The dataset is derived from WorldClim (http://www.worldclim.org/), and major climate databases compiled by the Global Historical Climatology Network (GHCN),the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet. Monthly Precipitation data set consists of 12 raster files, one for each month, showing minimum mean values derived from monthly temperature readings. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid.

The past few decades have seen high levels of deforestation and forest degradation in the Hindu Kush Himalayan (HKH) region. In this context, under SERVIR Himalaya programme, ICIMOD has developed forest cover monitoring system to identify forest change hotspot areas which need critical forest management attention in four pilot areas. This forest loss data of Bandarban, Bangladesh between 2010 and 2013 has been developed using LandSat 8 data in a semi-automated manner as part of the forest cover monitoring system.

Digital grid dataset of minimum monthly temperature (October) for the period of 1950-2000 of Hindu Kush Himalayan (HKH) Region. The dataset is derived from WorldClim (http://www.worldclim.org/), and major climate databases compiled by the Global Historical Climatology Network (GHCN),the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet. Monthly Precipitation data set consists of 12 raster files, one for each month, showing minimum mean values derived from monthly temperature readings. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid.

Digital point dataset of Water Resource Features (springs, well and Dams) of Afghanistan. This dataset is basic vector layer acquired from USGS.

Digital grid dataset of monthly mean temperature (October) for the period of 1950-2000 of Hindu Kush Himalayan (HKH) Region. The dataset is derived from WorldClim (http://www.worldclim.org/), and major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet. Monthly mean temperature data set consists of 12 raster files, one for each month, showing mean values derived from monthly temperature readings. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid.