Tetrápodos de Uruguay

Study Extent

Sampling

Quality Control

Method steps

1. The dataset was prepared to improve the findability, accessibility, interoperability and reuse of the data collated. We enriched the records incorporating more than 30 descriptive terms following the Darwin Core Biodiversity Data Standard (https://dwc.tdwg.org/). The R scripts used to clean the data can be found at: https://github.com/bienflorencia/rBiodiversidata
2. For standardisation of species names and complete taxonomic categories retrieval given the species names, we used the R package 'taxize' (https://github.com/ropensci/taxize). We followed Integrated Taxonomic Information System database (itis.gov) as reference.
3. To complete the conservation status of species according to the IUCN Red List assessment, we used the R package 'rredlist' (https://github.com/ropensci/rredlist).
4. Georeferenced point data resulted from either GPS measurements or by defining the latitude and longitude of the event locality through the GeoNames Gazetteer database (geonames.org). Coordinates are presented in decimal degrees and checked at state level.

1. Amphibia
   common name: Amphibians rank: class
2. Reptilia
   common name: Reptiles rank: class
3. Aves
   common name: Birds rank: class
4. Mammalia
   common name: Mammals rank: class