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This volume's release consists of 64642 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 other CSV files. Some of the media files may have been "tagged" or "annotated"...
New Hampshire Fish and Game Department is a project within the AMMonitor community, which features projects that monitor wildlife and ecosystems with remotely deployed monitoring devices. Devices that capture media typically include trail cameras (photos, video) and/or autonomous recording units (audio). As with all AMMonitor projects, New Hampshire Fish and Game Department utilizes an AMMonitor SQLite database to track wildlife monitoring data in a standardized format, permitting cross-project collaboration. The monitoring data are released to the public in "volumes". Releases include the raw media files and their metadata, including the date, time, and location of media capture. Additional attachments at the volume...
Maine Department of Inland Fisheries and Wildlife is a project within the AMMonitor community, which features projects that monitor wildlife and ecosystems with remotely deployed monitoring devices. Devices that capture media typically include trail cameras (photos, video) and/or autonomous recording units (audio). As with all AMMonitor projects, Maine Department of Inland Fisheries and Wildlife utilizes an AMMonitor SQLite database to track wildlife monitoring data in a standardized format, permitting cross-project collaboration. The monitoring data are released to the public in "volumes". Releases include the raw media files and their metadata, including the date, time, and location of media capture. Additional...
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This volume's release consists of 26141 media files captured by autonomous wildlife monitoring devices under the project, Indiana Dunes National Park. 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 other CSV files. Some of the media files may have been "tagged" or "annotated" by either humans...
The management of canid populations has been at the forefront of wildlife management worldwide for much of the last century. Effective management depends on the ability to integrate species biology, the environmental aspects upon which those populations depend, and the factors controlling species abundance. Further, managing canid populations requires consideration of territoriality and dominance, which may have a significant effect on population dynamics. To better understand the effect of social structure on canid populations, we developed an individual-based computer model using Swarm to mimic natural coyote population dynamics. We selected the Swarm simulation environment because it is ideally suited for creating...
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This volume's release consists of 84049 media files captured by autonomous wildlife monitoring devices under the project, USDA Green Mountain National Forest. 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"...
Indiana Dunes National Park is a project within the AMMonitor community, which features projects that monitor wildlife and ecosystems with remotely deployed monitoring devices. Devices that capture media typically include trail cameras (photos, video) and/or autonomous recording units (audio). As with all AMMonitor projects, Indiana Dunes National Park utilizes an AMMonitor SQLite database to track wildlife monitoring data in a standardized format, permitting cross-project collaboration. The monitoring data are released to the public in “volumes”. Releases include the raw media files and their metadata, including the date, time, and location of media capture. Additional attachments at the volume level include human-...
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This volume's release consists of 41933 media files captured by autonomous wildlife monitoring devices under the project, Vermont Fish and Wildlife Department. 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"...
Vermont Fish and Wildlife Department is a project within the AMMonitor community, which features projects that monitor wildlife and ecosystems with remotely deployed monitoring devices. Devices that capture media typically include trail cameras (photos, video) and/or autonomous recording units (audio). As with all AMMonitor projects, Vermont Fish and Wildlife Department utilizes an AMMonitor SQLite database to track wildlife monitoring data in a standardized format, permitting cross-project collaboration. The monitoring data are released to the public in "volumes". Releases include the raw media files and their metadata, including the date, time, and location of media capture. Additional attachments at the volume...


    map background search result map search result map Maine Department of Inland Fisheries and Wildlife Volume 1 (2022 - 2023) Indiana Dunes National Park Volume 1 (2019) USDA Green Mountain National Forest Volume 1 (2016 - 2022) Vermont Fish and Wildlife Department Volume 1 (2014 - 2022) Indiana Dunes National Park Volume 1 (2019) Vermont Fish and Wildlife Department Volume 1 (2014 - 2022) USDA Green Mountain National Forest Volume 1 (2016 - 2022) Maine Department of Inland Fisheries and Wildlife Volume 1 (2022 - 2023)