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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
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Mulit-Criteria Power Line Routeing GIS_dataset 2

Authors: Michael Zipf; Samarth Kumar; Hendrik Scharf; Christoph Zöphel; Constantin Dierstein;

Mulit-Criteria Power Line Routeing GIS_dataset 2

Abstract

The dataset presented here contains GIS (Geographic Information System) data relevant for infrastructure projects, specifically development of DC grid. The data has been sourced from a range of sources and proceeded to be compatible for combination and analysis. For each data set included, the conversion of the original data into a 500m grid in EPSG 31468 projection with the raster calculator implemented in QGIS has been carried out. Elevation The elevation data originate from the EEA [1]. The resolution of the original data corresponds to about 25m and is available in raster format. The bilinear resampling method was used to determine the values of the new grid fields. Landscape quality assessment Uniform assessment per grid field between 0 (low) and 10 (high) derived from the original data set of [2] with a total of information on 44 primary land use types based on the assessment criteria of [3]. The data set used here is the CLC2012 which refers to the reference year 2012. Population density Source of population density is a raster grid provided by the [4] which expresses the number of people per pixel with a resolution of 250m x 250m. The base year for population data is 2015. Protected areas Reduction of data from [5] to continental Europe and change of projection. Slope Derived from elevation data based on [1]. The slope is calculated by the tilt angle for each raster cell in degrees based on the first-order derivation.

{"references": ["[1] European Environment Agency.\u00a0 Digital Elevation Model over Europe (EU-DEM).\u00a0 Data retrieved from\u00a0https://www.eea.europa.eu/data-and-maps/data/copernicus-land-monitoring-service-eu-dem#tab-gis-data", "[2] European Environment Agency.\u00a0 Corine Land Cover 2012. Data retrieved from\u00a0https://land.copernicus.eu/pan-european/corine-land-cover", "[3] Br\u00e4m, R. Methode einer fl\u00e4chendeckenden Landschaftsbildbewertung der Schweiz basierend auf Sichtbarkeits- und Vektoranalysen im GIS. Technical report, Paris Lodron-Universit\u00e4t Salzburg, 2013", "[4] European Commission Joint Research Centre; Columbia University Center for International Earth Science Information476Network.\u00a0 GHS population grid, derived from GPW4, multitemporal (1975, 1990, 2000, 2015), 2018. The data retrieved from\u00a0http://data.jrc.ec.europa.eu/dataset/jrc-ghsl-ghs_pop_gpw4_globe_r2015a", "[5] IUCN and UNEP-WCMC. The World Database on Protected Areas (WDPA), 2018. Data retrieved from\u00a0https://www.protectedplanet.net/"]}

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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