Average data for Whole Indus from year 1981 to 1990 for the month of March 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.

It provides a list of faunal species mainly Butterfly, Birds, Herptefauna and Mammals that were recorded in Kaminidaha plot within Parsa National Park, Nepal

This Hydrological station shows the measurement of Water level and Rainfall at Gunitsawa, Bhutan.

Digital point dataset of fuel stations of Central Karakoram National Park (CKNP) area, Pakistan. This dataset is compiled through GPS based field survey conducted in year 2008.

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

Average data for Whole Indus from year 1951 to 1960 for the month of January 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.

This checklist contains a total of 8 mammal species documented from the China part of Kailash Sacred Landscape. This information has been collated from feasibility assessment report of the Kailash Sacred Landscape Conservation and Development Initiative and from IUCN websites.

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 point data of pass locations of Kailash Sacred Landscape in Nepal.

Digital polygon data of Floodplains of Central Karakoram National Park(CKNP) area, Pakistan. This dataset is compiled using water indices from satellite imagery