ru28-20220520T1425_azfp_fish eng UTF8 dataset service Michael Smith Rutgers University - DMCS +1 848-932-3433 71 Dudley Road New Brunswick NJ 08901 USA michaesm@marine.rutgers.edu pointOfContact 2026-08-21 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 4 column row vertical temporal ru28-20220520T1425 AZFP Fish Biomass 2026-08-21 creation rowlrs-data.marine.rutgers.edu ru28-20220520T1425_azfp_fish Rutgers Center for Ocean Observing Leadership Ecosystem Data Team ecosystemdata at marine.rutgers.edu https://rucool.marine.rutgers.edu/ information web browser Background Information Background information from the source information originator Josh Kohut, Grace Saba, Thomas Grothues, Kaycee Coleman, Nicole Waite, David Aragon, Brian Buckingham, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio, Timothy Stolarz, Delphine Mossman contributor This project provides monitoring of key fish species and habitat features within the planned Ocean Wind site and a nearby control site off the coast of southern New Jersey before, during, and after wind farm construction. This glider is equipped with an Acoustic Zooplankton Fish Profiler (AZFP), an autonomous, low-power echo sounder that possesses the capabilities to study the abundance, distribution, and behavior of various sizes of fishes and large zooplankton throughout the water column over large spatial scales by measuring acoustic backscatter returns with ultrasonic frequencies. This 3-4 week deployment will test the use of gliders for conducting fisheries and ecosystem surveys in and around the Ocean Wind study site. The AZFP used on this deployment is configured for fish detections (38, 120, and 200 kHz) and this dataset contains the AZFP data analysis output from Echoview. Environmental data from this deployment, including Conductivity, Temperature, Depth (CTD) data and fluorescence data (ie chlorophyll) is available separately on slocum-data.marine.rutgers.edu. This deployment is supported by funding from Ocean Wind LLC Rutgers Center for Ocean Observing Leadership Ecosystem Data Team ecosystemdata at marine.rutgers.edu https://rucool.marine.rutgers.edu/ information web browser Background Information Background information from the source information pointOfContact 20220520t1425 ABC acoustic acoustics area average azfp backscatter backscattering between biomass cell classified coefficient conductivity ctd data deployment deviation difference distance earth echosounder end fish frequencies frequency glider group identified identifier instrument layer maximum mean measurement minimum name NASC nautical number obs observations ocean oceans ping platform profile ru28 ru28-20220520t1425 rutgers scattering science seafloor slocum sonde sound species standard start statistics strength taxonomic taxonomy temperature thickness trajectory trajectory/deployment two university volume theme Earth Science > Oceans > Ocean Acoustics > Acoustic Frequency theme GCMD Science Keywords Ocean Wind 01 Fisheries Monitoring Plan, Glider-Based Sampling project depth depth depth volume_backscattering_coefficient sound_frequency depth time latitude longitude depth theme CF Standard Name Table v84 This data may be redistributed and used without restriction. Ocean Wind 01 Fisheries Monitoring Plan, Glider-Based Sampling largerWorkCitation project Unidata Common Data Model TrajectoryProfile largerWorkCitation project eng geoscientificInformation 1 -74.6113 -74.0669 38.8081 39.3256 seconds 2022-05-21T00:01:38Z 2022-06-10T14:05:47Z -39.38108 -3.4812 ru28-20220520T1425 AZFP Fish Biomass 2026-08-21 creation Rutgers Center for Ocean Observing Leadership Ecosystem Data Team ecosystemdata at marine.rutgers.edu https://rucool.marine.rutgers.edu/ information web browser Background Information Background information from the source information originator Josh Kohut, Grace Saba, Thomas Grothues, Kaycee Coleman, Nicole Waite, David Aragon, Brian Buckingham, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio, Timothy Stolarz, Delphine Mossman contributor This project provides monitoring of key fish species and habitat features within the planned Ocean Wind site and a nearby control site off the coast of southern New Jersey before, during, and after wind farm construction. This glider is equipped with an Acoustic Zooplankton Fish Profiler (AZFP), an autonomous, low-power echo sounder that possesses the capabilities to study the abundance, distribution, and behavior of various sizes of fishes and large zooplankton throughout the water column over large spatial scales by measuring acoustic backscatter returns with ultrasonic frequencies. This 3-4 week deployment will test the use of gliders for conducting fisheries and ecosystem surveys in and around the Ocean Wind study site. The AZFP used on this deployment is configured for fish detections (38, 120, and 200 kHz) and this dataset contains the AZFP data analysis output from Echoview. Environmental data from this deployment, including Conductivity, Temperature, Depth (CTD) data and fluorescence data (ie chlorophyll) is available separately on slocum-data.marine.rutgers.edu. ERDDAP tabledap 1 -74.6113 -74.0669 38.8081 39.3256 seconds 2022-05-21T00:01:38Z 2022-06-10T14:05:47Z -39.38108 -3.4812 tight ERDDAPtabledapDatasetQueryAndAccess https://rowlrs-data.marine.rutgers.edu/erddap/tabledap/ru28-20220520T1425_azfp_fish ERDDAP:tabledap ERDDAP-tabledap ERDDAP's tabledap service (a flavor of OPeNDAP) for tabular (sequence) data. Add different extensions (e.g., .html, .graph, .das, .dds) to the base URL for different purposes. download ru28-20220520T1425 AZFP Fish Biomass 2026-08-21 creation Rutgers Center for Ocean Observing Leadership Ecosystem Data Team ecosystemdata at marine.rutgers.edu https://rucool.marine.rutgers.edu/ information web browser Background Information Background information from the source information originator Josh Kohut, Grace Saba, Thomas Grothues, Kaycee Coleman, Nicole Waite, David Aragon, Brian Buckingham, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio, Timothy Stolarz, Delphine Mossman contributor This project provides monitoring of key fish species and habitat features within the planned Ocean Wind site and a nearby control site off the coast of southern New Jersey before, during, and after wind farm construction. This glider is equipped with an Acoustic Zooplankton Fish Profiler (AZFP), an autonomous, low-power echo sounder that possesses the capabilities to study the abundance, distribution, and behavior of various sizes of fishes and large zooplankton throughout the water column over large spatial scales by measuring acoustic backscatter returns with ultrasonic frequencies. This 3-4 week deployment will test the use of gliders for conducting fisheries and ecosystem surveys in and around the Ocean Wind study site. The AZFP used on this deployment is configured for fish detections (38, 120, and 200 kHz) and this dataset contains the AZFP data analysis output from Echoview. Environmental data from this deployment, including Conductivity, Temperature, Depth (CTD) data and fluorescence data (ie chlorophyll) is available separately on slocum-data.marine.rutgers.edu. OPeNDAP 1 -74.6113 -74.0669 38.8081 39.3256 seconds 2022-05-21T00:01:38Z 2022-06-10T14:05:47Z -39.38108 -3.4812 tight OPeNDAPDatasetQueryAndAccess https://rowlrs-data.marine.rutgers.edu/erddap/tabledap/ru28-20220520T1425_azfp_fish OPeNDAP:OPeNDAP OPeNDAP An OPeNDAP service for tabular (sequence) data. Add different extensions (e.g., .html, .das, .dds) to the base URL for different purposes. download ru28-20220520T1425 AZFP Fish Biomass 2026-08-21 creation Rutgers Center for Ocean Observing Leadership Ecosystem Data Team ecosystemdata at marine.rutgers.edu https://rucool.marine.rutgers.edu/ information web browser Background Information Background information from the source information originator Josh Kohut, Grace Saba, Thomas Grothues, Kaycee Coleman, Nicole Waite, David Aragon, Brian Buckingham, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio, Timothy Stolarz, Delphine Mossman contributor This project provides monitoring of key fish species and habitat features within the planned Ocean Wind site and a nearby control site off the coast of southern New Jersey before, during, and after wind farm construction. This glider is equipped with an Acoustic Zooplankton Fish Profiler (AZFP), an autonomous, low-power echo sounder that possesses the capabilities to study the abundance, distribution, and behavior of various sizes of fishes and large zooplankton throughout the water column over large spatial scales by measuring acoustic backscatter returns with ultrasonic frequencies. This 3-4 week deployment will test the use of gliders for conducting fisheries and ecosystem surveys in and around the Ocean Wind study site. The AZFP used on this deployment is configured for fish detections (38, 120, and 200 kHz) and this dataset contains the AZFP data analysis output from Echoview. Environmental data from this deployment, including Conductivity, Temperature, Depth (CTD) data and fluorescence data (ie chlorophyll) is available separately on slocum-data.marine.rutgers.edu. ERDDAP Subset 1 -74.6113 -74.0669 38.8081 39.3256 seconds 2022-05-21T00:01:38Z 2022-06-10T14:05:47Z -39.38108 -3.4812 tight ERDDAP_Subset https://rowlrs-data.marine.rutgers.edu/erddap/tabledap/ru28-20220520T1425_azfp_fish.subset search Subset Web page to facilitate selecting subsets of the dataset download physicalMeasurement obs int Obs Depth_mean float average depth of acoustic measurement cell Layer_depth_min float minimum depth of layer Layer_depth_max float maximum depth of layer profile_id int profile identifier Sv_mean float mean volume backscattering strength NASC float nautical area scattering coefficient ABC float area backscattering coefficient Area_Backscatter_Strength float area backscatter strength Standard_deviation float standard deviation of volume backscattering strength Thickness_mean float average thickness of acoustic measurement cell Frequency float echosounder frequency Difference float difference in Sv between two frequencies Exclude_below_line_depth_mean float mean depth of seafloor Ping_S int ping number at start of measurement cell Ping_E int ping number at end of measurement cell Dist_M float mean distance from deployment start Species String identified or classified species or taxonomic group time double time of measurement platform long Slocum Glider ru28 instrument_azfp long Instrument Azfp trajectory_id String Trajectory/Deployment Name Michael Smith Rutgers University - DMCS +1 848-932-3433 71 Dudley Road New Brunswick NJ 08901 USA michaesm@marine.rutgers.edu distributor OPeNDAP DAP/2.0 https://rowlrs-data.marine.rutgers.edu/erddap/tabledap/ru28-20220520T1425_azfp_fish.html order Data Subset Form ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types. download https://rowlrs-data.marine.rutgers.edu/erddap/tabledap/ru28-20220520T1425_azfp_fish.graph order Make-A-Graph Form ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data. mapDigital dataset 2025-12-12T16:35:06.408802Z - Created from CSV files using Python netCDF4 library This record was created from dataset metadata by ERDDAP Version 2.30.0