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This dataset contains a collection of 30 datasets on geographically located cycling crashes across the world. This collection covers country, region, or city-wide areas in multiple easy-to-use formats, such as Comma Separated Values (CSV) files and GeoJSON files. Crashes and accidents are often published by police, cities, or other governmental agencies, but are often difficult to use and contain many missing values or errors. This collection results from the retrieval of each dataset from such sources and its subsequent cleaning, curation, and validation. The collection includes data from: Barcelona, Cambridgeshire, Chicago, Colorado, Connecticut, Denver, Detroit, France, Geneva, Germany, Helsinki, Las Vegas, Los Angeles, Louisville, Madrid, Nantes, Nashville, Netherlands, New York, Pasadena, Pennsylvania, Queensland, Richmond, Rome, San Jose, Seattle, United Kingdom (Collideoscope), United Kingdom (Gov), Victoria, Washington DC. A detailed documentation of the data will be available once the data descriptor manuscript has been finalized and published.
The licensing terms are documented separately for each dataset. This work was partially funded by Funda����o para a Ci��ncia e Tecnologia via grant [PD/BD/142948/2018], and LARSyS---FCT Project [UIDB/50009/2020].
cycling, accidents, cycling safety, collisions, crashes
cycling, accidents, cycling safety, collisions, crashes
| 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). | 1 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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