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These databases are derived from raw receiver files that have been processed using the Nebiolo, K. and T. Castro-Santos. 2022. MAST (Movement Analysis Software for Telemetry data), for the semi-automated removal of false positives from radio telemetry data. Animal Biotelemetry volume 10(2): 1-16. https://doi.org/10.1186/s40317-022-00273-3. Each table within the SQL databases contains radio telemetry receiver detection information with the number of detections within a table diminishing as the table number increases. This decrease in the number of detections results from the removal of suspected false positive detections. Final data should be extracted from the table with the highest number associated with the table name.\n\nAdditionally, these databases contain a tblMasterReceiver table which provides the Nebiolo and Castro-Santos (2022) script with a list of receivers, the tblMasterTag which provides the script with a list of transmitters that are known to be either active in fish or set up as beacons, tblRaw which contains the raw data that was ingested into the script, tblTrain which contains data on which the model will train on to decipher between real and false detections, tblReceiverParamaters which provides the model with information on the receiver settings, and tblNodes which can provide the model with nodes if receivers are oriented for nodal configuration. \n\nFor additional information on the MAST process and data dictionaries, please see the publication [https://doi.org/10.1186/s40317-022-00273-3] as well as the Github site [https://github.com/knebiolo/MAST]. 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