Maine Department of Inland Fisheries and Wildlife Moose Project - Volume 2 (2021 - 2024) ...

• Main Authors: Lee Kantar, Alexej Sirén, Tammy L Wilson, Laurence A Clarfeld, Kaitlin Huber, Therese M Donovan
• Format: Dataset
• Language: unknown
• Published: U.S. Geological Survey 2024
• Subjects: wildlife biology; environment; biota; wildlife; animal tracking; vertebrates; ecosystem monitoring; field inventory and monitoring; time series datasets; Ecology; FOS Biological sciences; Wildlife Biology; Camera Trap; Wildlife Monitoring; Wildlife Management; Moose; Alces alces; Game Species
• Online Access: https://dx.doi.org/10.5066/p132su4s; https://www.sciencebase.gov/catalog/item/6669b08cd34e9bcc607bd881

This volume's release consists of 320104 media files captured by autonomous wildlife monitoring devices under the project, Maine Department of Inland Fisheries and Wildlife. The attached files listed below include several CSV files that provide information about the data release. The file, "media.csv" provides the metadata about the media, such as filename and date/time of capture. The actual media files are housed within folders under the volume's "child items" as compressed files. A critical CSV file is "dictionary.csv", which describes each CSV file, including field names, data types, descriptions, and the relationship of each field to fields in other CSV files. Some of the media files may have been "tagged" or "annotated" by either humans or by machine learning models, identifying wildlife targets within the media. If so, this information is stored in "annotations.csv" and "modeloutputs.csv", respectively. To protect privacy, all personally identifiable information (PII) have been removed, locations have ...