Snapshot Japan 2023: the first camera trap dataset under a globally standardised protocol in Japan

We present the first dataset from a collaborative camera-trap survey using the Snapshot protocol in Japan conducted in 2023. We collected data at 90 locations across nine arrays for a total of 6162 trap-nights of survey effort. The total number of sequences with mammals and birds was 7967, including 20 mammal species and 23 avian species. Apart from humans, wild boar, sika deer and rodents were the most commonly observed taxa on the camera traps, covering 57.9% of all the animal individuals. We provide the dataset with a standard format of Wildlife Insights, but also with Camtrap DP 1.0 format. Our dataset can be used for a part of the global dataset for comparing relative abundances of wildlife and for a baseline of wildlife population trends in Japan. It can also used for training machine-learning models for automatic species identifications.

Authors

Institutions

Publication Details

Journal
Biodiversity Data Journal
Published
2025-03-13
DOI
https://doi.org/10.3897/bdj.13.e141168
Citations
1
Primary Topic
Wildlife Ecology and Conservation
Type
article
Field-Weighted Citation Impact
1.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Snapshot Japan 2023: the first camera trap dataset under a globally standardised protocol in Japan

Shun Takagi, Hayato Iijima, Takaaki Enomoto, Kahoko Tochigi et al.
1 citations
Biodiversity Data Journal
Wildlife Ecology and Conservation
1.72
article

Snapshot Japan 2023: the first camera trap dataset under a globally standardised protocol in Japan

Shun Takagi, Hayato Iijima, Takaaki Enomoto, Kahoko Tochigi, Masaki Ando, Hiroyuki Uno, Yoshihiro Nakashima, Shinsuke Koike, William J. McShea, M. Saito, Roland Kays, Takahiro Morosawa, Keita Fukasawa, Nao Kumada, T. Yokoyama, Akira Yoshioka, Satsuki Funatsu
article en
1 citations

Abstract

We present the first dataset from a collaborative camera-trap survey using the Snapshot protocol in Japan conducted in 2023. We collected data at 90 locations across nine arrays for a total of 6162 trap-nights of survey effort. The total number of sequences with mammals and birds was 7967, including 20 mammal species and 23 avian species. Apart from humans, wild boar, sika deer and rodents were the most commonly observed taxa on the camera traps, covering 57.9% of all the animal individuals. We provide the dataset with a standard format of Wildlife Insights, but also with Camtrap DP 1.0 format. Our dataset can be used for a part of the global dataset for comparing relative abundances of wildlife and for a baseline of wildlife population trends in Japan. It can also used for training machine-learning models for automatic species identifications.

Biodiversity Data JournalVol. 13
Nihon University (JP), Yamagata University (JP), North Carolina State University (US), Iwate University (JP), University of Hyogo (JP), National Institute for Environmental Studies (JP), Smithsonian Conservation Biology Institute (US), Forestry and Forest Products Research Institute (JP), Gifu University (JP), The University of Tokyo (JP), Sugiyama Jogakuen University (JP), Tokyo University of Agriculture and Technology (JP)
Life in Land
Openalex Percentile: Top 19%
Wildlife Ecology and Conservation
1.72
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.