PLOS_DataFile

Figshare2017-04-02 更新2026-04-29 收录

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物种探测概率模拟

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https://figshare.com/articles/dataset/PLOS_DataFile/4810648 数据链接链接失效反馈

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Data collected using camera traps in eastern CT, USA. Used to simulate differences in detectability based on number of active cameras in a small area

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2017-04-02

Data from: Arboreal camera trapping: taking a proven method to new heights

野生动物监测

相机陷阱

1. Although camera trapping has been shown to be a highly effective non-invasive tool for wildlife monitoring, the technique has not yet been widely applied to studies of arboreal species. Despite the

DataONE2014-05-09 更新110

Data from: Random versus game trail-based camera trap placement strategy for monitoring terrestrial mammal communities

野生动物监测

相机陷阱

Cusack_et_al_random_versus_trail_camera_trap_dataCamera trap data on medium to large terrestrial mammals ("Species") collected at 54 camera stations ("Station") in Ruaha National Park, southern Tanzan

Mendeley Data2024-06-25 更新90

Occurrence Download

生物多样性监测

相机陷阱

A dataset listing the 37 species recorded in GBIF matching the query: { "DatasetKey" : [ "is Wildlife inventory in the Azores using camera trapping" ] } The dataset's 37 records were derived from

GBIF2024-06-07 更新50

Camera traps reveal seasonal variation in activity and occupancy of the Alpine mountain hare (Lepus timidus varronis)

生态学

相机陷阱

Mountain hare is a cold-adapted species threatened by climate change, but despite its emblematic nature, our understanding of the causes of population decline remains limited. Camera traps are increas

DataONE2024-02-07 更新90

Results of density estimation models.

野生动物密度

相机陷阱

Ranking of the 13 models evaluated for density estimation of leopards detected by camera traps in the Udzungwa Mountains of Tanzania. The highest scoring model (Md7) included the covariates of distanc

NIAID Data Ecosystem70

PLOS_DataFile

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