Non-random Temporal Patterns of Citizen Science Biodiversity Recording
Data and code to analyse when citizens record biodiversity, identifying non-random temporal patterns in sampling effort and their associated drivers.
- Size
- 3.0 MB
- Format
- ZIP
- License
- CC-BY-4.0
- Access
- Open Access
- Source
- Zenodo (record 14845809)
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Challenge
When do citizens actually choose to record biodiversity, and how much does that departure from random timing bias what ecology sees? Which matters more here: the day of the week, the season, public holidays, or the weather?
- Where to start
- Open data&code.zip and read All_TAXA_10_replicates_with_holidays.csv straight from the archive. The key column is Dependent: 1 = a real recording event, 0 = one of 10 pseudo-absences at the same location on a random date in the same year (the temporal 'background'). For any calendar or weather column (Weekday, Month, Holiday, Temperature, Precipitation), compare its distribution when Dependent==1 versus Dependent==0 — a selection ratio P(cat|recorded)/P(cat|available) makes the preference explicit, with 1.0 meaning no bias.
- What to share
- Selection-ratio plots for weekday, month and holidays (plus a recorded-vs-available weather comparison), and a short note on the sampling bias they imply — e.g. how a weekend/holiday/spring skew could be mistaken for a biological signal in downstream analyses.
💬 Discuss this dataset, ask questions and share your results in its discussion thread. Challenges are open-ended — there's no single right answer.