Data from: Acoustic surveillance of bats along the Green and Colorado Rivers

# Data from: Acoustic surveillance of bats along the Green and Colorado Rivers [https://doi.org/10.5061/dryad.cfxpnvxcw](https://doi.org/10.5061/dryad.cfxpnvxcw) Acoustic data were collected 63 consecutive nights during a survey of the Green and Colorado Rivers (1,000-mile section of river). Data were collected using a Wildlife Acoustics SM4BAT FS Full-Spectrum Ultrasonic Recorder™ with SMM-U2 microphones (Wildlife Acoustics, Maynard, MA, USA). Acoustic files were run through both Kaleidoscope Pro 5.1.9 Analysis Software (Bats of North America classifier 5.1; Wildlife Acoustics, Maynard, MA, USA) and SonoBat version 4.4.5 (North America, Great Basin North, Great Basin, and Southwest regional classifiers; DNDesign, Arcata, California, USA) to compare and vet bat species identification. We then compared the two outputs using the *comparedf* function in the ‘compare’ package (Murrell 2022) in Program R and manually vetted all calls that were identified as two different species in Sonobat and Kaleidoscope Pro (1,948 calls) and 10% of calls that were identified in one software but left blank in the other (21,375 calls = 2,138 vetted calls). **Description of the data and file structure** Data files are output files from Sonobat and Kaleidoscope. An R file to compare the two outputs is also included. Data are divided into 3 files as detailed below: * File: DD_Comparing_outputs_workflow.R * KPRO-output-11.15.22.csv - Kaleidoscope Pro output file * Column headings from Kaleidoscope Pro [Descriptions from user guide] * INDIR - Absolute path of the input directory * OUTDIR - Absolutely path of the output directory * FOLDER - directory path from the input directory to the file containing the detected signal * INFILE - Filename of the file containing the detected signal * CHANNEL - Channel number (0 = left, 1 = right) containing the detected signal * OFFSET - Offset into the file in seconds to the start of the detected signal * DURATION - Duration of the detected signal in seconds * OUTFILES - Name of the output file * OUTFILE ZC - Name of the output file (Zero-Crossing) * DATE - Datestamp of the recording if available * TIME - Timestamp of the recording if available * HOUR - Hour (from time) of recording if available * DATE-12 - Datestamp of the recording if available less 12 hours (for nightly folders) * TIME-12 - Timestamp of the recording if available less 12 hours (for nightly folders) * HOUR-12 - Hour (from time) of the recording if available less 12 hours (for nightly folders) * AUTO ID - Automatic classification result * Species codes * NoID - No species identification * ANTPAL - *Antrozous pallidus* * CORTOW - *Corynorhinus townsendii* * EPTFUS - *Eptesicus fuscus* * EUDMAC - *Euderma maculatum* * EUMPER - *Eumops perotis* * LASBLO - *Lasiurus blossevillii* * LASCIN - *Lasiurus cinereus* * LASNOC - *Lasionycteris noctivagans* * LASXAN - *Lasiurus xanthinus* * MACCAL - *Macrotus californicus* * MYOCAL - *Myotis californicus* * MYOCIL - *Myotis ciliolabrum* * MYOEVO - *Myotis evotis* * MYOLUC - *Myotis lucifugus* * MYOOCC - *Myotis occultus* * MYOSEP - *Myotis septentrionalis* * MYOTHY - *Myotis thysanodes* * MYOVEL - *Myotis velifer* * MYOVOL - *Myotis volans* * MYOYUM - *Myotis yumanensis* * Noise - Noise file, no bat species identified * NYCFEM - *Nyctinomops femorosaccus* * NYCMAC - *Nyctinomops macrotis* * PARHES - *Parastrellus hesperus* * TADBRA - *Tadarida brasiliensis* * ID_man - Manual identification added after classification * PULSES - Number of pulses detected in the file which were identified * MATCHING - Number of pulses matching the auto classification result * MATCHING RATIO - The ratio of MATCHING over PULSES * MARGIN - Classification margin, this is an uncalibrated confidence score and should not be subject to much interpretation other than that within a given species, higher values are more confident than lower values. * ALTERNATE 1 - First alternate * ALTERNATE 2 - Second alternate, in addition to the species identification, these fields list zero or more alternate species identifications separated by semicolons based on other pulse-level classifications detected in the file ranked from highest probability to lowest probability. * N - Total number of pulses detected * Fc - Average characteristic frequency (kHz) * Sc - Average characteristic slope (Octaves per Second) * Dur - average duration (ms) * Fmax - Highest frequency signal detected in any signal frame across the detected signal * Fmin - Lowest frequency signal detected in any signal frame across the detected signal * Fmean - Mean peak frequency signal detected across the detected signal * TBC - average time between calls (ms) * Fk - Average frequency of the knee (kHz) * Tk - Average time to the knee (ms) * S1 - Average initial slope (octaves per second) * Tc - Average time to the characteristic (ms) * Qual - Average call quality (%) * FILES - The number 1, indicating one file, as a convenience for pivot tables by file count * MANUAL ID - User defined label * ORGID - Organization UUID of Managed Cloud Account who has run this batch process * USERID - Nickname or email address of Managed Cloud Account who has run this batch process * REVIEW ORGID - If Manual ID is present, this is the UUID of the organization corresponding to the Manual ID * REVIEW USERID - If Manual ID is present, this is the nickname or email address of the User who created the Manual ID * INPATHMD5 - Unique identification used internally by Kaleidoscope Pro corresponding to the input file * OUTPATHMD5FS - Unique identification used internally by Kaleidoscope Pro corresponding to a full-spectrum output file * OUTPATHMD5ZC - Unique identification used internally by Kaleidoscope Pro corresponding to a Zero-Crossing output file * Green.Colorado_Bats.csv - Sonobat output file * Column headings from Sonobat [Descriptions from user guide] with some post processing additions * Path - directory path from the input directory to the file containing the detected signal * Filename - file name of call sequence * Bat_day - Post processing addition, this converts date_time to a bat day where it is sunset to sunrise * Latitude - Post processing addition, location of detector * Longitude - Post processing addition, location of detector * HiF - high frequency call (0 = no, 1 = yes) * LoF - low frequency call (0 = no, 1 = yes) * SppAccp - Species identification accepted based on Prob, #Maj and #Accp * Species Codes * Anpa - *Antrozous pallidus* * Coto - *Corynorhinus townsendii* * Epfu - *Eptesicus fuscus* * Euma - *Euderma maculatum* * Eupe - *Eumops perotis* * Idph - *Idionycteris phylotis* * Labl - *Lasiurus blossevillii* * Laci - *Lasiurus cinereus* * Lano - *Lasionycteris noctivagans* * Myca - *Myotis californicus* * Myci - *Myotis ciliolabrum* * Myev - *Myotis evotis* * Mylu - *Myotis lucifugus* * Myth - *Myotis thysanodes* * Myvo - *Myotis volans* * Myyu - *Myotis yumanensis* * Nysp. - *Nyctinomops species* * NA - No species ID * Pahe - *Parastrellus hesperus* * Tabr - *Tadarida brasiliensis* * Prob - probability of pulses attributed to SppAccp * \#Maj - number of pulses that align with species identification identified in SppAccp * \#Accp - number of pulses accepted for species identification * \~Spp - suggested species classification if Prob, # Maj, #Accp are below threshold * \~Prob- probability of pulses attributed to ~Spp * Fc mean - Average characteristic frequency (kHz) * Fc StdDev - Average characteristic frequency (kHz) standard deviation * Dur mean - average duration (ms) * Dur StdDev - average duration (ms) standard deviation * calls/sec - number of calls per second, inf = insufficient data * mean HiFreq - mean high frequency (kHz) * mean LoFreq - mean low frequency (kHz) * mean UpprSlp - mean upper slope * mean LwrSlp - mean lower slope * mean TotalSlp - mean total slope * Mean PrecedingIntvl - mean preceding interval Species names are provided in the Kaleidoscope output and matched with a species acronym. Species codes in Sonobat are a four letter acronym. Species names can be found in Table 1 of the manuscript. Kaleidoscope output has less missing species identifications than Sonobat, however, Sonobat is more conservative with species identifications.