Digital polygon dataset of Country Boundary of China. This dataset is basic vector layer acquired from USGS.

Average data for Whole Indus from year 1981 to 1990 for the month of February in ASCII format. It is an Aphrodite data with 0.25 resolution in x and y direction. The APHRODITE project develops state-of-the-art daily precipitation datasets with high-resolution grids. The datasets are created primarily with data obtained from a rain-gauge-observation network.

Digital grid dataset of monthly precipitation (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 mean values derived from monthly precipitation readings. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid.

Bridge(polyline) dataset of Kritipur Municipality for the Geo-visualization on emergency response in case of earthquake disaster.

Dense mixed area(Point) dataset of Kathmandu Metropolitian City for the geovisualization on emergency response in case of earthquake disaster.

Adaptive capacity layer gives information about the climate change adaptive capacity of forest ecosystems in Chitwan Annapurna Landscape

Deforestation layer gives information about the dependence of local communities for deforestation on forest ecosystems in Chitwan Annapurna Landscape.

Building Footprint dataset of Kathmandu Municipality for the Geo-visualization on emergency response in case of earthquake disaster.

Average data for Whole Indus from year 1961 to 1970 for the month of September in ASCII format. It is an Aphrodite data with 0.25 resolution in x and y direction. The APHRODITE project develops state-of-the-art daily precipitation datasets with high-resolution grids. The datasets are created primarily with data obtained from a rain-gauge-observation network.

Electric line(polyline) dataset of Kritipur Municipality for the Geo-visualization on emergency response in case of earthquake disaster.