19:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1a:T439,The BioSonics DT-X Digital Scientific Echosounder is available in single or spilt beam configuration. The resultant data set comprises 38 and 120 kHz split beam data. The DT-X Digital Scientific Echosounder is used for stock assessment, biomass estimates, and habitat mapping. DT-X digital transducers are available in a range of frequencies (38, 70, 120, 200, and 420 kHz) and beam patterns in split beam or single beam. Up to 5 transducers can be mulltiplexed for simultaneous data collection in any combination of frequencies and transducer orientations. The BioSonics split beam echosounder data can be analyzed for fish quantity, individual sizes, direction of travel through the acoustic beam. Data analysis is done using BioSonics, Echoview, or Sonar4/5-Pro software (and other options are available). Additional information is available from: BioSonics DT-X Digital Echosounder (http://www.biosonicsinc.com/product-overview.asp), BioSonics (http://www.biosonicsinc.com), Echoview (http://www.echoview.com/), and Sonar4/5-Pro (http://tid.uio.no/~hbalk/sonar4_5/index.htm).1b:T1003,NSF Award Abstract Across the globe it has become increasingly clear that climate change is influencing animal movement patterns. The daily vertical migration of marine animals such as squid is often termed “the largest migration on Earth.” Understanding the impacts of climate change on diel vertical migration is essential for an understanding of how ocean ecosystems will fare with increasing temperatures. Central Atlantic waters are ca. 2-3 °C above normal; this unusual warming event provides a short and urgent window of opportunity to examine how global warming will affect this huge migration. The movements and energetics of squid and their larger community are being measured using traditional oceanographic methods and innovative, new high-resolution sensor and motion tags. The new data are providing novel insights into how warm temperatures are affecting movements, migrations, changes in biomass, and other energetic consequences of behavioral responses to environmental change. The project leverages an animal group (squid) that links top predators and smaller prey within a complex trophic web. As a group, squids are one of the world’s largest fisheries, they are of global food-resource importance, and they are prey for many commercially important fish species (tuna, swordfish), sea birds and marine mammals. Predicting climate-driven changes on these animals and their daily migratory patterns is critical for sustainable resource management. Educational broader impacts are focused on training opportunities for graduate and undergraduate students with emphasis on recruiting participants from underrepresented groups. The graduate students are gaining international experience in field work and scientific collaborations. Diel vertical migrations are a vital process of ocean energy exchange that are influenced by the physical environment, yet few experimental data address how warming affects these migrations. Central Atlantic waters are ca. 2-3° C above normal, extending stratified summer conditions and stressful warmer waters into a key time of year when organisms “expect” greater mixing and cooler oceans. These fleeting warm-water conditions present a unique opportunity to study how a vertically migrating nekton community and its key component (squid) are adjusting their movements to balance energetic demands and expenditures. Building from a suite of before-and-after data, this project is examining the response of the migratory community and the squid to unusually warm, physiologically stressful, ocean conditions during a critical life-stage. The prediction is that the community and squid are utilizing an energetically costly set of responses, leading to altered movement patterns and decreased densities of migratory organisms in surface waters at night. The timeframe of the project coincides with a period when squid invest in somatic and reproductive growth via substantial foraging and interactions within the larger nekton community. New data are being collected to (i) examine movement ecology and energetics by tagging Loligo forbesii squid near the Azores using novel motion tags and environmental sensors (ITAGs), (ii) quantify the nekton community and prey layer density and movements via scientific echosounders in locations overlapping with tagged animals, (iii) characterize environmental conditions using standard oceanographic casts, surface satellite data, and the eco-sensor data from animal-borne tags, and (iv) assess vertical movement and habitat use changes as seasonality progresses using longer-term, lower resolution, movement tags. The central hypothesis being tested is that the migratory community is responding to thermal stress by changing vertical migration patterns and feeding strategies. These responses have negative consequences on the squid’s energy balance and lead to higher foraging costs and decreased feeding success. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.6:["$","$L19",null,{"dataset":{"_id":"921981","description":"","problem":"","acquisition":"

Deployments: Day-trips aboard a 21-foot RIB while winds were less than 15 knots. Data span November 29 to December 2nd.

Sampling was completed with a BioSonics DTX Extreme scientific echosounder and a 38kHz transducer. Transducer was coated in soap prior to deployment to prevent bubbles on surface. Sampling took place along depth range spanning 100-500 meters while the boat transited at 1.5 knots above bottom.

\n","processing":"

The echosounding data (.dt4) were not edited. The data from the instrument in .dt4 format was viewed on Visual Aquatic v1.0.0.13146 and exported as csv format. The tabular csv form of the dataset was used for the primary format of this BCO-DMO dataset (see Data Files section). Additional columns were added by BCO-DMO for lat,lon, and datetime (see BCO-DMO Processing Notes section).

The .dt4 files are provided in the Supplemental Files section. The .dt4 files can be loaded in Visual Aquatic, provided through Biosonics Inc, and it includes post-processing capabilities.

\n","bcodmoProcessing":"* Submitted file \"Rapid_Azores_Echosounding.csv\" was imported into the BCO-DMO data system for this dataset. \r\n* Lat lon columns added from values provided in metadata.\r\n* ISO_DateTime_UTC column added (ISO 8601 format) from local timestamp provided in Azores time GMT-1","title":"Echosounder data (38kHz) collected along the slope between Faial and Pico Island Azores in November and December of 2021","nickname":"Echosounder data (38kHz)","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2024-03-12T04:00:00.000Z","abstract":"We collected 38 kHz scientific grade echosounding along the slope between Faial and Pico Island Azores. These data span night and day time periods and were aimed at measuring the diel vertical migration of the deep scattering layer in the area. The transducer was mounted near the transom of a boat and was submerged 0.5 meters below the surface. ","citation":"Mooney, T. A. (2024) Echosounder data (38kHz) collected along the slope between Faial and Pico Island Azores in November and December of 2021. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-03-12 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.921981.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.921981.1","versionDate":"2024-03-12","versionId":"1","year":"2024","title":"Echosounder data (38kHz) collected along the slope between Faial and Pico Island Azores in November and December of 2021","authors":"Mooney, T. A.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.921981.1","release_date":null,"field_dataset_location":"Field echosounding took place near Faial and Pico Islands, Azores archipelago (38.3003° N, 28.3522°W)","temporal_extent":{"start":"2021-11-29T05:00:00.000Z","end":"2021-12-02T05:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1638162000","label":"2021-11-29"},"end":{"value":"1638421200","label":"2021-12-02"}},"spatial_extent":{"shape":"point","center":{"latitude":38.3003,"longitude":-28.3522},"wkt":" POINT (-28.3522 38.3003)","north":0,"east":0,"south":0,"west":0},"dataset_type":["Other Field Results"],"keywords":["oceans"],"data_files":[{"id":"922197","title":"921981_v1_echosounder-38khz.csv","url":"https://datadocs.bco-dmo.org/dataset/921981/file/oAnXW7pu8lJX3D/921981_v1_echosounder-38khz.csv","showTableUrl":"https://www.bco-dmo.org/dataset/921981/data/view/922197","description":"Primary data file for dataset ID 921981, version 1. This data is also provided in an alternate format (see Supplemental file \" Echosounder data (38kHz) in .dt4 format\").","filename":"921981_v1_echosounder-38khz.csv","bytesize":170309,"checksum":{"value":"1828e3a22fb6d9b0235b1e83c2c84a07","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[{"id":"922198","title":"Echosounder 38kHz configuration","url":"https://datadocs.bco-dmo.org/dataset/921981/file/nGm6W8nFljZnnJ/ADP Biosonics Configuration for NAAMES - 38kHz.pdf","showTableUrl":"","description":"Configuration screenshots for echosounder (38kHz) as shown in Visual Acquisition software (Biosonics, Inc.).","filename":"ADP Biosonics Configuration for NAAMES - 38kHz.pdf","bytesize":444502,"checksum":{"value":"690ba0a1c4cbb3ceffca25cdb2b0ea68","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"application/pdf","fileType":{"_id":"336","name":"Portable Document Format (.pdf)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":false,"showTable":false,"restricted":false},{"id":"922196","title":" Echosounder data (38kHz) in .dt4 format","url":"https://datadocs.bco-dmo.org/dataset/921981/file/rgqVWXQInqlPl9/echosounder38kHz_dt4-format.zip","showTableUrl":"","description":"Data in format (dt4) are specific to the instrument manufacturer and can be viewed using Visual Acquatic software from BioSonics. This is an alternate form of the dataset from the main data table provided as \"921981_v1_echosounder-38khz.csv\" (see \"Data Files\" section) which requires no proprietary software to view or use. \n\nThis zip file contains the following files:\n'day1N_20211129_154458.dt4'\n'day1N_20211129_161458.dt4'\n'day1N_20211129_164458.dt4'\n'day 2S20211202_163454.dt4'\n'day 2S20211202_170454.dt4'\n'day 2S20211202_171857.dt4'\n","filename":"echosounder38kHz_dt4-format.zip","bytesize":233963520,"checksum":{"value":"d227f4fbcd071b4bb1fdab3281c773f2","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"application/zip","fileType":{"_id":"196","name":"ZIP Archive (ZIP)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":false,"showTable":false,"restricted":false}],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"51709","name":"T. Aran Mooney"},"performedAtOrganization":{"_id":"2","name":"Woods Hole Oceanographic Institution"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"921999","name":"Seth Cones"},"performedAtOrganization":{"_id":"2","name":"Woods Hole Oceanographic Institution"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"643627","name":"Amber D. York"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[],"funding":[{"_id":"884525","name":"OCE-2203204","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=2203204"}],"instruments":[{"_id":"921984","name":"","description":"BioSonics DTX Extreme scientific echosounder and a 38kHz transducer","type_id":"646","type_name":"BioSonics DT-X Digital Scientific Echosounder","type_desc":"$1a","type_acronym":"BioSonics DT-X Echosounder"}],"parameters":[{"_id":"921985","name":"Time","format":"","frictionlessType":"string","description":"

Date and time. Local Time zone = GMT-01:00

","units":{"_id":"","name":"unitless"},"type":{"_id":"719088","name":"DateTime","description":"

Date and time; variously formatted.

"}},{"_id":"921986","name":"FileName","format":"","frictionlessType":"string","description":"

Filename of the .dt4 file (see Supplemental Files). day1N_20211129_154458.dt4 = "TimePeriod_YYYYMMDD_HHMMSS.dt4"

","units":{"_id":"","name":"unitless"},"type":{"_id":"659543","name":"file_name","description":"

File name

"}},{"_id":"921987","name":"TransducerName","format":"","frictionlessType":"string","description":"

38 kHz 10° Split = Transducer frequency_Beam Angle_BeamType

","units":{"_id":"","name":"unitless"},"type":{"_id":"864","name":"instrument","description":"

instrument used to collect or process data, definition is specific to the data set in which it appears

"}},{"_id":"921988","name":"TransducerNumber","format":"","frictionlessType":"integer","description":"

ID of transducer. Only a BioSonics DTX Extreme 38 kHz transducer was used.

","units":{"_id":"","name":"unitless"},"type":{"_id":"864","name":"instrument","description":"

instrument used to collect or process data, definition is specific to the data set in which it appears

"}},{"_id":"921989","name":"ReportNumber","format":"","frictionlessType":"integer","description":"

Data were analyzed in '10 Ping bins', and Report Number is the nth bin analyzed

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"921990","name":"FirstPingNumber","format":"","frictionlessType":"integer","description":"

First ping of new report

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"921991","name":"LastPingNumber","format":"","frictionlessType":"integer","description":"

Last ping of new report

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"921992","name":"BottomStatus","format":"","frictionlessType":"string","description":"

Valid/Invalid response outlining whether bottom could be detected

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"921993","name":"BottomElevation_m","format":"","frictionlessType":"number","description":"

water depth

","units":{"_id":"","name":"meters (m)"},"type":{"_id":"808","name":"depth","description":"

Observation/sample depth below the sea surface. Units often reported as: meters, feet.

\nWhen used in a JGOFS/GLOBEC dataset the depth is a best estimate; usually but not always calculated from pressure; calculated either from CTD pressure using Fofonoff and Millard (1982; UNESCO Tech Paper #44) algorithm adjusted for 1980 equation of state for seawater (EOS80) or simply equivalent to nominal depth as recorded during sampling if CTD pressure was unavailable.

"}},{"_id":"921994","name":"PlantStatus","format":"","frictionlessType":"string","description":"

Valid/Invalid response outlining whether plant could be detected

","units":{"_id":"","name":"unitless"},"type":{"_id":"1741","name":"sample_descrip","description":"

text description or other traits of the sample collected

"}},{"_id":"921995","name":"lat","format":"","frictionlessType":"string","description":"

Site latitude

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"730","name":"latitude","description":"

latitude, in decimal degrees, North is positive, negative denotes South; Reported in some datasets as degrees, minutes

"}},{"_id":"921996","name":"lon","format":"","frictionlessType":"string","description":"

Site longitude

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"731","name":"longitude","description":"

longitude, in decimal degrees, East is positive, negative denotes West; Reported in some datasets as degrees, minutes

"}},{"_id":"921997","name":"ISO_DateTime_UTC","format":"%Y-%m-%dT%H:%M:%S.%fZ","frictionlessType":"datetime","description":"

DateTime with time zone (UTC) in 8601 format.

","units":{"_id":"","name":"unitless"},"type":{"_id":"1908","name":"ISO_DateTime_UTC","description":"

Date/Time (UTC) ISO formatted
\nThis standard is based on ISO 8601:2004(E) and takes on any of the following forms:
\n2009-08-30T09:05:00[.xx] (local time)
\n2009-08-30T14:05:00[.xx]Z (UTC time)
\n2009-08-30T14:05:00[.xx]-05:00
\nThe dashes and the colons can be dropped.
\nThe T can also be dropped \"by mutual agreement\", but one needs the trailing Z if the time is UTC.

Sample ISO_datetime_utc:
\n2009-08-30T14:05:00[.xx]Z (UTC time)

Format: YYYY-mm-ddTHH:MM:SS[.xx]Z (UTC time)

"}}],"related_publications":[{"id":"921983","citation":"BioSonics (2020). Visual Aquatic User Guide version (r13145) May 26, 2020. Available from https://www.biosonicsinc.com/support/customer-downloads/ accessed 2024-01-04.","relation_type":["Methods"],"relation_desc":""},{"id":"921982","citation":"BioSonics (2022). Visual Aquatic 1.0. Available from https://www.biosonicsinc.com/download/visual-aquatic-1-0/","relation_type":["Software"],"relation_desc":""}],"related_datasets":[],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/921981/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/921981/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/921981/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/921981/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[],"projects":[{"_id":"884526","name":"RAPID: Too hot to hold: Effects of unseasonable warming on the Azores nekton community and its keystone taxon","acronym":"Too hot to hold","description":"$1b"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.921981.1","url":"https://doi.org/10.26008/1912/bco-dmo.921981.1","date_assigned":"2024-03-13","version_date":"2024-03-12","archiver":"Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)","archiver_id":"272"}],"license":{"name":"Creative Commons Attribution 4.0","id":"CC-BY-4.0","uri":"https://creativecommons.org/licenses/by/4.0/","spdxUri":"https://spdx.org/licenses/CC-BY-4.0"},"metrics":{"views":{"count":116},"downloads":{"count":537}}}}]