A year-long camera-trap dataset for assessing spatial occurrence and diel activity of sympatric ungulates in South Korea
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1Research Center for Endangered Species, National Institute of Ecology, Yeongyang-gun, Gyeongsangbuk-do, Republic of Korea Research Center for Endangered Species, National Institute of Ecology Yeongyang-gun, Gyeongsangbuk-do Republic of Korea.
Background:
Understanding how ecologically similar species share space and time is central to community ecology and can provide information for conservation and management in multi-species systems. Camera-trap data provide a practical means of describing spatial co-occurrence and diel activity overlap amongst sympatric mammals, particularly where direct mechanistic inference is not possible from observational data alone. In human-dominated landscapes, standardised, open-access occurrence data are critical for balancing the conservation of endangered species with the management of over-abundant, conflict-prone wildlife.
New Information:
In this study, we present a curated, year-long camera-trap dataset for four sympatric ungulates in South Korea, based on monitoring conducted in a temperate forest landscape in Uljin County, together with station-level covariates and harmonised effort information derived from a camera operation log. We provide example analyses illustrating: (i) spatial occurrence patterns using species-wise occupancy models and (ii) diel activity and temporal overlap using non-parametric activity analyses. For the temporal example, overlap is summarised using local clock time (Asia/Seoul, UTC+09:00) and complemented by a photoperiod-adjusted (solar-time) sensitivity analysis, based on sunrise and sunset times calculated for site-level representative coordinates (one point per site; UJ1 and UJ2). Diel-period summaries are additionally reported as rate-normalised detections (detections per 100 hours) using civil-twilight definitions to account for unequal period durations. The released dataset contains 4,623 independent detection events for the four ungulate species (long-tailed goral: 2,317; water deer: 814; Siberian roe deer: 808; wild boar: 684) recorded at 82 camera stations between April 2022 and May 2023. Survey effort totalled 29,850 functional camera-trap nights (30,410 scheduled nights, including 560 inactive nights from recorded downtime). All released files are listed in the Data resources section and include event-level records, station-level covariates, generalised coordinates and effort summaries to support reproducible reuse.

