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 to improve our understanding of bat foraging along the Colorado River in Grand Canyon. Objectives of our study were to determine whether bat activity was influenced primarily by variation in prey availability relative to other environmental or geomorphic factors. These data represent 1,428 paired samples of bat activity and insect abundance calculated as catch rates collected on 611 sampling nights at 410 sampling sites throughout a 470 km segment of river. These data were collected from April to October in 2017-2020 at recreational camps along the Colorado River in Grand Canyon between Glen Canyon Dam and Pearce Ferry. These data were collected through a U.S. Geological Survey led community science program that recruited recreational river runners to sample insects using light traps and to record bat activity using handheld acoustic recorders. Sampling was conducted for one hour at dusk during each night of the river expedition. These data can be used to interpret changes in total bat activity and insect catch rates over time and space relative to environmental variables.

These data were compiled to improve our understanding of bat foraging along the Colorado River in Grand Canyon. Objectives of our study were to determine whether bat activity was influenced primarily by variation in prey availability relative to other environmental or geomorphic factors. These data represent 1,428 paired samples of bat activity and insect abundance calculated as catch rates collected on 611 sampling nights at 410 sampling sites throughout a 470 km segment of river. These data were collected from April to October in 2017-2020 at recreational camps along the Colorado River in Grand Canyon between Glen Canyon Dam and Pearce Ferry. These data were collected through a U.S. Geological Survey led community science program that recruited recreational river runners to sample insects using light traps and to record bat activity using handheld acoustic recorders. Sampling was conducted for one hour at dusk during each night of the river expedition. These data can be used to interpret changes in total bat activity and insect catch rates over time and space relative to environmental variables.

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.

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.

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.

Hawaiian hoary bats (Lasiurus cinereus semotus) were captured at multiple locations on the east side of Hawaii Island from May 2018 through September 2019. Radio transmitters were affixed to captured bats and, when possible, radio telemetry was used to locate bats in trees used for day-roosts. In 2019, three maternity roosts were identified however only two were suitable for acoustic recording. Acoustic detectors were used to record acoustic activity (i.e., echolocation pulses) at two maternity roosts. Song Meter SM4BAT FS ultrasonic recorders (Wildlife Acoustics, Maynard, MA) with SMX-US ultrasonic microphones (Wildlife Acoustics, Maynard, MA) were deployed within 5-m of each maternity roost tree and configured for continuous (24-hr) data collection. Upon detection of a vocalizing bat, recording was triggered, and a call file was stored with the corresponding date and time. Recordings were analyzed with Kaleidoscope Pro version 5.1.9 (Wildlife Acoustics, Maynard, MA). All files were aurally and visually inspected for bat acoustic activity. A total of 2791 call files were proofed positive for bat calls. A total of 2657 bat call files were recorded from 18:00 to 05:59 (>95%). Less than 5% of call files containing bat calls were recorded from 06:00 to 17:59.

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.

Hawaiian hoary bat vocalization and visual detection records collected on Hawaii Island, Hawaii, September-October 2014. Bat echolocation was monitored with ultrasonic detectors and bat occurrence and behavior was monitored using thermal surveillance cameras.