Seasonal activity changes in raccoon dogs and influences of environmental factors from autumn to winter

Raccoon dogs Nyctereutes procyonoides are on the List of National Key Protected Wild Animals as Grade II in China; research on their wild populations is limited despite their conservation significance. In this context, we focused on seasonal activity changes from autumn to winter and their relationship to environmental and mammalian factors. Using 71 trail cameras from October 15, 2023, to February 29, 2024, in the Sizuolou Nature Reserve in Beijing, China, this study is the first to examine these specific aspects within the country. Our findings revealed a statistically significant change in raccoon dog activity from autumn to winter. This suggests they may enter short periods of winter sleep, as indicated by the 20-day intervals without camera detections. The average re-photographing interval was 2.62 ± 3.41 (SD) days. In the daily activity pattern, kernel density estimation indicated that raccoon dogs were nocturnal in both seasons; however, daytime activity was observed only in autu..., , # Seasonal activity changes in raccoon dogs and influences of environmental factors from autumn to winter

Dataset DOI: [10.5061/dryad.c866t1gjn](10.5061/dryad.c866t1gjn)

## Description of the data and file structure

Title: Mammalian and Environmental Raw Data for Raccoon Dogs Seasonal Activity Study

File: mammalian_environmental_raw_data.csv

Description:

This dataset supports the analysis of seasonal activity changes in raccoon dogs (*Nyctereutes procyonoides*) in the Sizuolou Nature Reserve, Beijing, China, from autumn to winter. It includes records of mammalian detection events collected by camera traps, along with associated environmental variables.

License:

This dataset is shared under the CC0 1.0 Universal (CC0 1.0) Public Domain Dedication.

### Files and variables

#### File: mammalian\_environmental\_raw\_data.csv

**Description:** Raw data containing mammalian detection events and environmental variables related to each camera installation point.

##### Variables

* Pt:...,