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ZENODO
Dataset . 2023
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 . 2023
License: CC BY
Data sources: ZENODO
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OSM dataset for Quality Assurance paper

OSM dataset for Quality Assurance paper

Abstract

Dataset Title: OpenStreetMap Quality Assurance Dataset Dataset Description: This dataset comprises OpenStreetMap (OSM) data obtained from the Dublin area in 2023, specifically for quality assurance purposes. The dataset contains a diverse range of geospatial information, meticulously sourced from OSM through the Overpass API. Data Source: The primary source of this dataset is OpenStreetMap, accessed via the Overpass API. It encompasses a wide array of geospatial features and attributes contributed by the OSM community. Data Format: The dataset is formatted in GeoJSON, a widely used and versatile format for representing geospatial data. Data Size: The dataset encompasses 471 individual records, collectively forming a comprehensive representation of the Dublin area within the scope of the year 2023. Data License: The dataset is released under the Open Database License (ODbL), ensuring openness and accessibility to users while respecting OSM's data sharing principles. Temporal and Spatial Coverage: The dataset captures geospatial information within the vibrant city of Dublin, offering a snapshot of the region during the year 2023. It provides valuable insights into the dynamic nature of the city's geographical data. This dataset serves as a valuable resource for quality assurance and evaluation of geospatial data within the Dublin area. Researchers, GIS professionals, and the broader OSM community can utilize it for a variety of spatial analysis and data quality assessment tasks.

Keywords

OSM, AI, Quality Assurance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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