Camera trap records of urban wild mammal activity and habitat use in Freiburg, Germany
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https://datadryad.org/dataset/doi:10.5061/dryad.73n5tb3bz
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资源简介:
Wildlife is increasingly exposed to human-dominated environments, yet
detailed data on species activity patterns and urban habitat use remain
limited. This dataset documents camera-trap detections of ten wild mammal
species - badger (Meles meles), foxes (Vulpes vulpes), rat
(Rattus spp.), wild boar (Sus scrofa), and marten (Martes spp.), rabbit
(Oryctolagus cuniculus), squirrel (Sciurus vulgaris), roe deer (Capreolus
capreolus), hare (Lepus europaeus), and hedgehog (Erinaceus europaeus) -
collected across urban and peri-urban sites in the city of Freiburg,
Germany. Records were obtained from 24 camera-trap locations and include
one row per independent capture event. For each detection, the dataset
provides species identity, number of individuals, spatial identifiers
(camera location ID and file path), and temporal information, including
date, time, timestamp, season, and day–night classification. To
characterize activity patterns, the dataset includes binary and
categorical indicators of nocturnal versus diurnal activity as well as
continuous circular time variables. Urban habitat context is quantified
per ID by the proportion of impervious surface surrounding each camera
location, serving as a proxy for urbanization intensity. Additional
variables summarize sampling effort and detection frequency by camera and
season. The dataset enables analyses of diel activity patterns,
species-specific urban habitat preferences, and trait-based comparisons
across mammal species in urban landscapes. It can be reused for studies on
urban wildlife ecology, temporal niche partitioning, human–wildlife
interactions, and spatial responses of mammals to urbanization gradients.
All data were collected using non-invasive camera trapping and contain no
personal or sensitive information. The dataset presents minimal ethical
risk and complies with relevant wildlife monitoring and data protection
guidelines.
提供机构:
Dryad
创建时间:
2026-02-07



