We describe the wildlife road kill data set collected by citizen scientists from the Taiwan Road Observation Network (TaiRON). This data set includes 46,416 geospatially referenced occurrence points of wildlife found on road networks in Taiwan starting in 2011 and until Dec. 2017. These road kill occurrence points come from Taiwan and the main islands that belong Taiwan, an 35,000 km2 island off the Eastern coast of China with high biodiversity and endemism. Each observation includes at least one photo, species name, and date and time of collection, Project managers and group experts identify each photograph and label them with vernacular and scientific names. The labelled observations are collected via an on-line platform, and compiled into a continuously growing dataset of structured records. The data set is still growing as the membership of TaiRON is very active and increasing, with over 14,000 current members. TaiRON and its data set will provide important conservation information about the impacts of human activity and pressures associated with roads on wildlife biodiversity in Taiwan and provides an example of framework that can be replicated elsewhere.
GBIF url: https://www.gbif.org/dataset/db09684b-0fd1-431e-b5fa-4c1532fbdb14
Homepage: https://roadkill.tw/en/openapi
Citation: Lin T (2024). The Taiwan Roadkill Observation Network Data Set.. Version 1.9. Taiwan Biodiversity Research Institute. Occurrence dataset https://doi.org/10.15468/cidkqi accessed via GBIF.org on 2024-09-06.
GBIF url: https://www.gbif.org/dataset/db09684b-0fd1-431e-b5fa-4c1532fbdb14
Homepage: https://roadkill.tw/en/openapi
Citation: Lin T (2024). The Taiwan Roadkill Observation Network Data Set.. Version 1.9. Taiwan Biodiversity Research Institute. Occurrence dataset https://doi.org/10.15468/cidkqi accessed via GBIF.org on 2024-09-06.
資料集編號
db09684b-0fd1-431e-b5fa-4c1532fbdb14 (DatasetUUID)
其他標題
資料集作者
Te-En Lin
資料集發佈者
Taiwan Biodiversity Research Institute
資料集來源
GBIF
資料集標籤
資料集關鍵字
敏感標示
本資料集包含經過模糊化處理的敏感資料
授權
創用CC-姓名標示
詮釋資料更新日期
2024-09-06
觀測資料最新匯入日期
類群
兩棲類、蝦蟹類、哺乳類、爬行類、鳥類
紀錄筆數
46,416
下載次數
9,686