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Bibliographic Details
Main Author: Ball, Lawrence
Format: Dataset Open Access
Language:en
Published: PANGAEA 2019
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Online Access:https://doi.org/10.1594/PANGAEA.902295
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author Ball, Lawrence
author_facet Ball, Lawrence
collection Datos científicos de ciencias marinas y ambientales
contents Geospatial datasets for the central South Arabian mountains (CSAM) in Al Mahrah (Yemen) and Dhofar (Oman) are assembled and made accessible to support research in the region. The datasets include a layer of spatial variability in fog density, vegetation indices, topographic variables, geomorphology metrics and vector layers of roads, places and waterpoints. The methods used to calculate and derive the layers are summarized and all data sources, software and tools are referenced accordingly in Ball (2019) Mapping a topography-fog-vegetation relationship in the central South Arabian mountains (in prep.). Data is shared according to the usage and distribution guidelines of the data providers. The collection will be expanded as new data sources and methods become available. This material is based upon work supported by the UK Economic and Social Research Council under award reference 1595870 and the US National Science Foundation under grant number 1617185.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_902295
institution PANGAEA
language en
publishDate 2019
publisher PANGAEA
record_format pangaea
spellingShingle Geospatial datasets for the central South Arabian mountains (CSAM) in Al Mahrah (Yemen) and Dhofar (Oman) including spatial variability in monsoon fog density
Ball, Lawrence
Arabia; cloud forest; CSAM; DEM; Dhofar; File format; File name; File size; fog; Geomorphology; GIS; Hawf; hydrology; khareef; mountains; MULT; Multiple investigations; Oman; raster; South Arabian mountains; Uniform resource locator/link to file; Yemen
Geospatial datasets for the central South Arabian mountains (CSAM) in Al Mahrah (Yemen) and Dhofar (Oman) are assembled and made accessible to support research in the region. The datasets include a layer of spatial variability in fog density, vegetation indices, topographic variables, geomorphology metrics and vector layers of roads, places and waterpoints. The methods used to calculate and derive the layers are summarized and all data sources, software and tools are referenced accordingly in Ball (2019) Mapping a topography-fog-vegetation relationship in the central South Arabian mountains (in prep.). Data is shared according to the usage and distribution guidelines of the data providers. The collection will be expanded as new data sources and methods become available. This material is based upon work supported by the UK Economic and Social Research Council under award reference 1595870 and the US National Science Foundation under grant number 1617185.
title Geospatial datasets for the central South Arabian mountains (CSAM) in Al Mahrah (Yemen) and Dhofar (Oman) including spatial variability in monsoon fog density
topic Arabia; cloud forest; CSAM; DEM; Dhofar; File format; File name; File size; fog; Geomorphology; GIS; Hawf; hydrology; khareef; mountains; MULT; Multiple investigations; Oman; raster; South Arabian mountains; Uniform resource locator/link to file; Yemen
url https://doi.org/10.1594/PANGAEA.902295