SiMPL Wildlife Magnets: A camera trap tool for detecting all creatures great and small
收藏DataONE2024-03-19 更新2024-06-08 收录
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Small mammals compose a substantial portion of the seed predators and dispersers, as well as the prey, in many ecosystems. Nevertheless, information on distribution and habitat use is limited, partly because inexpensive, minimally -invasive surveying of small mammals has remained challenging. We created the SiMPL wildlife magnet â a baited camera trap design that allows passive monitoring of wildlife, especially small- to medium-sized mammals. The SiMPL magnet is inexpensive and easy to construct. To evaluate its effectiveness, we conducted a case study using 10 sites operating for two years along an elevation gradient in the White Mountains of the northeastern U.S. We found that the SiMPL wildlife magnet can be used to detect rodents, mesocarnivores, and, to a lesser extent, ungulates. We examined how the detection probability of mammal species changed with the inclusion of a SiMPL wildlife magnet using data from pre- and post-establishment. We found a significant increase in community..., This data was collected through camera traps and analyzed through Colorado Parks and Wildlife Photo Warehouse Software., , # SiMPL Wildlife Magnets: A camera trap tool for detecting all creatures great and small
Our dataset allows the user to replicate the results of the study (see description below). We politely request to be contacted by parties interested in data reuse to discuss collaboration.
## Description of the data and file structure
The data contains a CSV file named \"simpl_data.csv\". The data contains tagged camera trap data from June 2016- June 2018. The structure of the data is as follows, where each row is a tag (multiple tags can be applied to one photo):
* pkAnnotation = Unique tag ID for database identification
* fkPhotoID = Unique photo ID assigned by remote camera
* fkTaxonID = species identification tag
* date = date of photo (formatted mm/dd/yyyy)
* year = year of photo
* month = month of photo
* day = day of photo
* camera = camera ID
* daymonth = day and month of photo (dd/mm)
* yrweek = year and week of the photo (yyyy/wk)
* week = week of photo (wk)
* Si...
创建时间:
2025-07-29



