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We used the United States National Grid to develop a sampling grid for monitoring programs in the Great Plains Landscape Conservation Cooperative, delineated by Bird Conservation Regions 18 and 19. Landscape Conservation Cooperatives are science based partnerships with the goal to inform and guide conservation at regional landscape levels. Developing a standardized sampling grid for a LCC is a new endeavor and is designed to reduce program costs, avoid repetition in sampling, and increase efficiency in monitoring programs. This is possible because the grid’s nationwide coverage, uniform starting point, and scalability allow researchers to expand their monitoring programs from a small, local level to a regional or...
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This volume's release consists of 281258 media files captured by autonomous wildlife monitoring devices under the project, SiMPL Wildlife Magnet Project. 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...
Categories: Data; Tags: Aegolius acadicus, Alces americanus americanus, Canis latrans, Canis lupus, Catharus guttatus, All tags...
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Reduced to its most fundamental level, the management problem addressed by this project is the basic conflict between the fact that fish need water and the reality that the amount and quality of the water available has been dramatically altered by human activities. For fishes dependent upon specific flows for successful reproduction, the quality and quantity of available water are likely the primary determinants of habitat quality. In many cases, the minimum requirements of water quantity and quality needed to support self-sustaining fish populations are unknown and thus there is no way for resource managers to effectively assess habitat quality and its ability to support fish populations under current or future...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2011, Academics & scientific researchers, Arkansas River shiner (Notropis girardi), Arkansas River shiner (Notropis girardi), CATFISHES/MINNOWS, All tags...
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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"...
Categories: Data; Tags: Accipiter gentilis, Aegolius acadicus, Alces alces, Alces americanus americanus, Bonasa umbellus, All tags...
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Remote cameras (“trail cameras”) are a popular tool for non-invasive, continuous wildlife monitoring, and as they become more prevalent in wildlife research, machine learning (ML) is increasingly used to automate or accelerate the labor-intensive process of labelling (i.e., tagging) photos. Human-machine hybrid tagging approaches have been shown to greatly increase tagging efficiency (i.e., time to tag a single image). However, those potential increases hinge on the extent to which an ML model makes correct vs. incorrect predictions. We performed an experiment using a ML model that produces bounding boxes around animals, people, and vehicles in remote camera imagery (MegaDetector), to consider the impact of a ML...
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This volume's release consists of 46576 media files captured by autonomous wildlife monitoring devices under the project, Dartmouth College Woodlands Wildlife Monitoring Project. 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"...
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We used the United States National Grid to develop a sampling grid for monitoring programs in the Great Plains Landscape Conservation Cooperative, delineated by Bird Conservation Regions 18 and 19. Landscape Conservation Cooperatives are science based partnerships with the goal to inform and guide conservation at regional landscape levels. Developing a standardized sampling grid for a LCC is a new endeavor and is designed to reduce program costs, avoid repetition in sampling, and increase efficiency in monitoring programs. This is possible because the grid’s nationwide coverage, uniform starting point, and scalability allow researchers to expand their monitoring programs from a small, local level to a regional or...
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Within the five states of its range (Texas, Oklahoma, Kansas, New Mexico, and Colorado), the lesser prairie-chicken (Tympanuchus pallidicinctus, LEPC) remains present on sand sagebrush (Artemesia filifolia), mixed- and short- grass prairies of western Kansas and eastern Colorado, through portions of northwest Oklahoma, the northeast Texas panhandle, and into the shinnery oak (Quercus havardii) and sand sagebrush habitat of eastern New Mexico and western Texas. Agencies in these states monitor LEPC breeding populations annually within the known occupied range of the species, however, monitoring efforts have differed markedly among agencies and inferences have been made about populations using a variety of methods....


    map background search result map search result map Range-wide Population Estimation and Monitoring for Lesser Prairie-Chickens: Sampling Design and Pilot Implementation Evaluating the reproductive success of Arkansas River shiner by evaluating early life-history stage dispersal and survival at a landscape level Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC Project Summary: Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC Final Report: Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC Evaluating a tandem human-machine approach to labelling of wildlife in remote camera monitoring SiMPL Wildlife Magnet Project Data Release Volume 1 (2019 - 2023) Dartmouth College Woodlands Wildlife Monitoring Project Volume 1 (2014 - 2024) Maine Department of Inland Fisheries and Wildlife Moose Project - Volume 2 (2021 - 2024) Dartmouth College Woodlands Wildlife Monitoring Project Volume 1 (2014 - 2024) SiMPL Wildlife Magnet Project Data Release Volume 1 (2019 - 2023) Maine Department of Inland Fisheries and Wildlife Moose Project - Volume 2 (2021 - 2024) Evaluating a tandem human-machine approach to labelling of wildlife in remote camera monitoring Evaluating the reproductive success of Arkansas River shiner by evaluating early life-history stage dispersal and survival at a landscape level Range-wide Population Estimation and Monitoring for Lesser Prairie-Chickens: Sampling Design and Pilot Implementation Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC Project Summary: Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC Final Report: Integrated monitoring within BCR’s: Creating a wildlife monitoring grid for the GPLCC