cl_maintenanceAndUpdateFrequency

asNeeded

1110 record(s)
 
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    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.

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    Digital grid dataset of Monthly Mean Precipitation of August of Afghanistan. This dataset is acquired from USGS.

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

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    Sewerage manhole(point) dataset of Kathmandu Metropolitian City for the Geo-visualization on emergency response in case of earthquake disaster.

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    Digital polygon data of wetland of Kailash Sacred Landscape.

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    Municipality boundary(polygon) dataset of Thimi Municipality for the Geo-visualization on emergency response in case of earthquake disaster

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    This checklist contains a total of 82 mammal species documented from Nepal part of the Kailash Sacred Landscape. This information has been collated from feasibility assessment report of the Kailash Sacred Landscape Conservation and Development Initiative and IUCN redlist website.

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    Digital point data of Spot height locations of Kayar Khola Watershed, Chitwan, Nepal. This dataset is created using Topographic sheet data at scale of 25,000/50,000, of 1995 acquired from National Geographic Information Infrastructure Project (NGIIP), Dept. of Survey, Kathmandu, Nepal. The data was prepared for the Reducing Emission from Deforestation and Forest Degradation (REDD) Pilot Project. This is a joint project of ICIMOD with Asian Network for Sustainable Agriculture and Bio-resources (ANSAB) and Federation of Community for Forest Users of Nepal (FECOFUN) funded by NORAD.

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

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    The HKH Region Climate data were derived from WorldClim(http://www.worldclim.org/), This map layer shows maximum temperature of warmest month for the period of 1950-2000.