Data and code used in: Non-detection during excursions by citizen scientists...

DATA

repo_identities.csv

Identities of observations from the NDFF (https://www.ndff.nl/) that were used in the analyses: All observations without protocol (Losse waarnemingen) in the province of Zeeland between 2017-01-01 and 2023-12-31, having a known observer. A total of 150 species were selected from the 10 most observed groups, by taking the most common species within each group: 30 birds, 20 plants, 20 moths, 20 butterflies, 10 mammals, 10 dragonflies, 10 Diptera, 10 Hymenoptera, 10 Orthoptera and 10 mushrooms. This file lists all 1,477,585 identities of the observations of these species that were selected. The following fields were used in the analyses: identity, osn_id, Dutch and scientific name, x and y coordinates, start date and observer.

knmi_weather_vlissingen.txt

Weather data that were used in the analyses, downloaded from https://daggegevens.knmi.nl/klimatologie/daggegevens

20230114_species.csv

Species metadata including species group and species rarity, downloaded from waarneming.nl

CODE

_selected_model.py

Python code to rerun the analyses and reproduce the results

_summarizing_figs.py

Python code to generate the summarizing figures

OUTPUT

_selected_model.html

Export of jupyter notebook that ran the python code, containing both input code and output text/ figures

species_results_selected_model.csv

Output file after running _selected_model.py, suitable as input for _summarizing_figs.py