US Geological Survey and National Park Service researchers designed and implemented an acoustic monitoring program for bats in the three large parks of Western Washington, all part of the North Coast and Cascades Network (NCCN) of National Parks.This work was part of the larger NCCN bat population monitoring and white-nose syndrome (WNS) surveillance program, designed to understand bat distribution, activity, and disease dynamics on the leading edge of WNS spread in the state. Data were collected throughout each park along elevational, precipitation, and seasonal gradients. This monitoring program examines questions of interest at the national, regional, and park scale to increase the understanding of bat distribution, occurrence, and seasonal/annual dynamics before extensive spread of WNS in the state. This data release contains acoustic detections of bat species in Mount Rainier National Park during 2019-2020 monitoring.

US Geological Survey and National Park Service researchers designed and implemented an acoustic monitoring program for bats in the three large parks of Western Washington, all part of the North Coast and Cascades Network (NCCN) of National Parks.This work was part of the larger NCCN bat population monitoring and white-nose syndrome (WNS) surveillance program, designed to understand bat distribution, activity, and disease dynamics on the leading edge of WNS spread in the state. Data were collected throughout each park along elevational, precipitation, and seasonal gradients. This monitoring program examines questions of interest at the national, regional, and park scale to increase the understanding of bat distribution, occurrence, and seasonal/annual dynamics before extensive spread of WNS in the state. This data release contains acoustic detections of bat species in North Cascades National Park during 2019-2020 monitoring.

Bat Acoustical Monitoring data collected at four National Park units in 2019. Colonial National Historical Park, Petersburg National Battlefield, Richmond National Battlefield Park, Shenandoah National Park were surveyed using Acoustic recording equipment and analyzed using Kaleidoscope Pro Software by staff at the USGS Virginia Cooperative Fish and Wildlife Research Unit and Virginia Polytechnic Institute and State University.

Microsoft Access database contains mobile acoustic bat detections along road-based transects on NWRs and several Ecological Service Field Offices. Species identification was based on BCID version 2.7c software. Call id was constrained to a minimum of five pulses and a time between calls of 1 second. Routes were not created based on the NABat grid priority. Database contains survey data, call classifications, point locations and route metrics. Each route used a site level filter to minimize false positive and negative detections.

These data were compiled as part of an effort to compare the relative data quality and modeling performance of bat data recorded with two different acoustic detectors. The objective of our study was to construct models evaluating the relative predictive quality of data collected by these two detectors. These data represent 48 paired sampling events where acoustic bat data was collected using a Song Meter SM4 Acoustic Recorder and with an Echo Meter Touch 2 bat detector in parallel with sampling insect prey using a light trap. These data were collected in Grand Canyon National Park between April 17 and October 10, 2022. These data were collected by several river guides through a community science program organized by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center. These data can be used to compare the two acoustic methods to each other and relative to insect prey catch rates.

These data were compiled as part of an effort to compare the relative data quality and modeling performance of bat data recorded with two different acoustic detectors. The objective of our study was to construct models evaluating the relative predictive quality of data collected by these two detectors. These data represent 48 paired sampling events where acoustic bat data was collected using a Song Meter SM4 Acoustic Recorder and with an Echo Meter Touch 2 bat detector in parallel with sampling insect prey using a light trap. These data were collected in Grand Canyon National Park between April 17 and October 10, 2022. These data were collected by several river guides through a community science program organized by the U.S. Geological Survey, Southwest Biological Science Center, Grand Canyon Monitoring and Research Center. These data can be used to compare the two acoustic methods to each other and relative to insect prey catch rates.

Bat Acoustical Monitoring data collected at six National Park units in 2017. Appomattox Court House National Historical Park, Booker T. Washington National Monument, Fredericksburg and Spotsylvania County Battlefields Memorial National Military Park, Petersburg National Battlefield, Richmond National Battlefield Park, Shenandoah National Park were surveyed using Acoustic recording equipment and analyzed using Kaleidoscope Pro Software by staff at the USGS Virginia Cooperative Fish and Wildlife Research Unit and Virginia Polytechnic Institute and State University.

Bat Acoustical Monitoring data collected at six National Park units in 2018. Appomattox Court House National Historical Park, Booker T. Washington National Monument, Fredericksburg and Spotsylvania County Battlefields Memorial National Military Park, Petersburg National Battlefield, Richmond National Battlefield Park, Shenandoah National Park were surveyed using Acoustic recording equipment and analyzed using Kaleidoscope Pro Software by staff at the USGS Virginia Cooperative Fish and Wildlife Research Unit and Virginia Polytechnic Institute and State University.

Bat Acoustical Monitoring data collected at six National Park units in 2016. Appomattox Court House National Historical Park, Booker T. Washington National Monument, Fredericksburg and Spotsylvania County Battlefields Memorial National Military Park, Petersburg National Battlefield, Richmond National Battlefield Park, Shenandoah National Park were surveyed using Acoustic recording equipment and analyzed using Kaleidoscope Pro Software by staff at the USGS Virginia Cooperative Fish and Wildlife Research Unit and Virginia Polytechnic Institute and State University.

Bat Acoustical data were collected at Gettysburg National Battlefield in 2018. Staff at the USGS Cooperative Fish and Wildlife Research Unit and Virginia Polytechnic Institute and State University collected data using recording equipment and analyzed using Kaleidoscope Pro Analysis Software.