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Dataset: a geodata derived neighborhood graph of german municipalities and their metadata

Fraas, Simon


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{"conceptdoi":"10.25592/uhhfdm.857","conceptrecid":"857","created":"2020-04-09T13:35:01.927813+00:00","doi":"10.25592/uhhfdm.859","id":859,"links":{"badge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.859.svg","conceptbadge":"https://www.fdr.uni-hamburg.de/badge/doi/10.25592/uhhfdm.857.svg","conceptdoi":"http://doi.org/10.25592/uhhfdm.857","doi":"http://doi.org/10.25592/uhhfdm.859"},"metadata":{"access_right":"open","access_right_category":"success","creators":[{"affiliation":"Carl Friedrich von Weizs\u00e4cker-Zentrum f\u00fcr Naturwissenschaft und Friedensforschung","name":"Fraas, Simon"}],"description":"<p>The graph presented in this dataset contains all German municipalities and their metadata keyed by NUTS Level 3, provided by the DE BKG as of 06/2019 - changed. All data renderings provided here were done in Cytoscape 3.7.1 (Season file for replication purposes is included in the archives). NUTS is a categorization system for European regions ranging from whole nations (NUTS 0), countries (NUTS 1 and 2), municipalities (NUTS 3) to even smaller regions in some cases (LAU). The AGS (amtlicher Gemeindeschl&uuml;ssel), which is unique to germany, is also included in the Metadata. Thus the data can be linked with european and german institution sourced data at the same time.</p>\n\n<p><br>\nThe archive files contain the following items:</p>\n\n<p>&bull; Edge-List (NutsA-NutsB) wth NUTS only</p>\n\n<p>&bull; Node-List with all metadata provided by BKG files.</p>\n\n<p>&bull; Example Edge-List with Population-Density-Metric connection values</p>\n\n<p>&bull; Season-File for Cytoscape 3.7.1 to reproduce the renderings in this paper</p>\n\n<p>All table files are in CSV format with UTF-8 encoding and ; delimiter. Special character like &ouml;, &auml;, &szlig;, &uuml; have been replaced (with oe, ae, ss, ue) to ensure compatibility.</p>","doi":"10.25592/uhhfdm.859","keywords":["graph","nuts","ags","neighborhood","modeling ressource","epidemiology","connection"],"language":"eng","license":{"id":"CC-BY-4.0"},"publication_date":"2020-04-09","related_identifiers":[{"identifier":"10.25592/uhhfdm.857","relation":"isVersionOf","scheme":"doi"}],"relations":{"version":[{"count":2,"index":1,"is_last":true,"last_child":{"pid_type":"recid","pid_value":"859"},"parent":{"pid_type":"recid","pid_value":"857"}}]},"resource_type":{"title":"Dataset","type":"dataset"},"title":"Dataset: a geodata derived neighborhood graph of german municipalities and their metadata","version":"1"},"owners":[93],"revision":2,"updated":"2020-05-14T11:19:02.595522+00:00"}

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