ETN: R package to access data from the European Tracking Network

Talk at the 9th annual OTN Symposium in the session Data analysis packages - November 15, 2021.

Transcript

1. ETN R package to access data from the European Tracking Network 9th annual OTN Symposium November 15, 2021 Peter Desmet 0000-0002-8442-8025
2. ETN - European Tracking Network
3. ETN application
4. ETN R package
5. - Started in 2018 - Provide access to ETN data - Tidyverse style - 4 types of functions: - connect_to_etn(): make database connection - get_ functions: get data in tabular format - list_ functions: list unique values as vector - download_dataset functions: export data for publication ETN R package
6. - Mimic tables in ETN application: - Data as tibble data frame - Standardized column names - Function parameters as filters: get_animals( animal_project_code = "2014_demer" scientific_name = c("Rutilus rutilus", "Silurus glanis") ) get_ functions
7. - Export all data for a project - animals - tags - detections - deployments - receivers - Structure expressed as a Frictionless Data Package - Good format for publishing source data, e.g. https://doi.org/10.14284/432 download_dataset function
8. - Allow use beyond https://rstudio.lifewatch.be - Expand scope to underwater acoustics, PIT, etc. - rOpenSci, CRAN Development roadmap
9. Thank you Development team: Peter Desmet, Damiano Oldoni & Stijn Van Hoey with input from ETN users Desmet P (2021) ETN: R package to access data from the European Tracking Network. Presentation at the 9th annual OTN Symposium. https://bit.ly/etn-otn-2021 ETN R package inbo.github.io/etn ETN application lifewatch.be/etn