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  2. AMMonitor: Remote wildlife monitoring for adaptive management
  3. Massachusetts Wildlife Monitoring Project
  4. Massachusetts Wildlife Monitoring Project (2022 - 2024)

Massachusetts Wildlife Monitoring Project (2022 - 2024)

Dates

Publication Date
Start Date
2022-04-20
End Date
2024-04-29

Citation

Wilson, T.L., Siren, A.P.K., Berube, J.A., Morrow, C.M., Wattles, D.W., Huguenin, M., Clarfeld, L.A., Huber, K.E., Donovan, T.M., 2024, Massachusetts Wildlife Monitoring Project (2022 - 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P13UNTFB.

Summary

This volume's release consists of 143321 media files captured by autonomous wildlife monitoring devices under the project, Massachusetts 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" or "annotated" by either humans [...]

Child Items (3)

Contacts

Point of Contact :
Massachusetts Cooperative Fish and Wildlife Research Unit, Tammy L. Wilson
Originator :
Tammy L Wilson, Alexej P. K. Siren, Juliana Berube, Connor M. Morrow, David W. Wattles, Michael Huguenin, Laurence A Clarfeld, Kaitlin E. Huber, Therese M Donovan
Metadata Contact :
USGS Vermont Cooperative Fish and Wildlife Research Unit, Therese Donovan
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Cooperative Research Units
USGS Mission Area :
Ecosystems

Attached Files

Click on title to download individual files attached to this item.

Massachusetts Wildlife Monitoring Project (2022 - 2024).xml
Original FGDC Metadata
View 		107.97 KB application/fgdc+xml
annotags.csv 1.7 MB text/csv
annotations.csv 9.44 MB text/csv
dbdictionary.csv 67.12 KB text/csv
equipment.csv 4.09 KB text/csv
equipmodels.csv 1.25 KB text/csv
librarylistitems.csv 4.32 KB text/csv
librarylists.csv 1.93 KB text/csv
listitems.csv 19.9 KB text/csv
lists.csv 3.44 KB text/csv
locations.csv 10.24 KB text/csv
media.csv 14.75 MB text/csv
medialistitems.csv 1.37 KB text/csv
medialists.csv 821 Bytes text/csv
mediatags.csv 6.04 MB text/csv
modeloutputs.csv 11.67 MB text/csv
models.csv 445 Bytes text/csv
people.csv 2.32 KB text/csv
shinytable.csv 1.28 KB text/csv
taxa.csv 19.08 KB text/csv
visits.csv 74.83 KB text/csv

Purpose

In 2022 the Massachusetts Cooperative Research Units established an array of 60 trail cameras at in MA to evaluate the potential drivers of winter tick epizootics in moose. The array was established under the protocol used by the Northeast Wildlife Monitoring Network (NEWMN), thereby ensuring that it has several features enabling multi-species monitoring: randomized multi-scale nested design; encompasses large latitudinal and elevational gradients; samples sites with the highest and lowest average forest cover within selected blocks; year-round deployment; and use of trails and lure to maximize detection. As a result of this the camera array is suitable for monitoring a diverse array of species, including many furbearers in need of baseline data. In addition to the ubiquitous deer, moose, and bears we already have repeated detections of coyote, bobcat, fisher, red fox, and raccoon.

Rights

The authors of these data require that data users contact them regarding intended use and to assist with understanding limitations and interpretation. Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

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Theme
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USGS Scientific Topic Keyword

Provenance

Data source
AMMonitor

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P13UNTFB

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