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:T8f6,Time-interpolated water temperature values. Includes calibration coefficients and other sensor metadata. The .mat file containts the matlab struct: >> RawData = SN101173: [1×1 struct] SN101174: NaN SN101175: [1×1 struct] SN101176: [1×1 struct] SN101177: [1×1 struct] SN101178: NaN SN101179: [1×1 struct] SN101180: [1×1 struct] SN101181: [1×1 struct] SN101182: [1×1 struct] SN101183: [1×1 struct] SN101184: [1×1 struct] SN101185: [1×1 struct] SN51004: [1×1 struct] SN101186: [1×1 struct] SN101187: [1×1 struct] SN101188: [1×1 struct] SN101189: [1×1 struct] SN101190: [1×1 struct] SN101191: [1×1 struct] SN101192: [1×1 struct] SN101193: [1×1 struct] SN101194: [1×1 struct] SN101195: [1×1 struct] SN101196: [1×1 struct] SN101197: [1×1 struct] SN916: [1×1 struct] SN: [27×1 double] SNsurf: 916 mabove: [1×27 double] info: {4×1 cell} RawData.info 4×1 cell array {'SN 101XX are RBRsolos' } {'SN 51004 is RBRduo' } {'SN 916 is SBE56 at surface float' } {'.mabove is meter above bottom for respective .SN'} % Each SN of tchain has a struct >> RawData.SN101177 ans = struct with fields: dbInfo: [1×1 struct] calibrations: [1×1 struct] datasets: [1×1 struct] datasetDeployments: [1×1 struct] instruments: [1×1 struct] instrumentChannels: [1×1 struct] instrumentSensors: [] channels: [1×1 struct] epochs: [1×1 struct] schedules: [1×1 struct] appSettings: [1×1 struct] deployments: [1×1 struct] thumbnailData: [1×1 struct] data: [1×1 struct] data has two vars tstamp and values RawData.SN101177.data.tstamp - matlab datenum >> RawData.SN101177.data.values(1:3,:) ans = 1.0000 22.6759 1.0000 22.6559 1.0000 22.6353 >> RawData.SN101177.datasets ans = struct with fields: datasetID: 1 name: 'QuIPP_T30_RBRsolo_101177_20160629_0242.rsk' 1b:T40e,Time-interpolated water temperature values. Includes calibration coefficients and other sensor metadata. dimensions: z = 27 ; time = 1471740 ; single_value = 1 ; variables: double T(time, z) ; T:units = "degrees Celsius" ; double P(time) ; P:units = "dbar" ; P:comment = "pressure recorded by RBRduo SN51004" ; double H(time) ; H:units = "m" ; H:comment = "surface height reconstructed from RBRduo height above bottom and pressure recorded" ; double dnum(time) ; dnum:comment = "Matlab timestamp" ; double unixtime(time) ; unixtime:comment = "Unix timestamp, obtained using RSKtools datenum2unixtime(), timestep should be 1 s but varies between 0, 1 and 2. Use start time and add 1 s if needed." ; double z(z) ; z:units = "m" ; z:comment = "vertical positive up, above bottom; instrument height, matches SN field" ; double SN(z) ; SN:comment = "serial numbers of temperature loggers on line; matches z field" ; double SNsurf(single_value) ; SNsurf:comment = "serial number of temperature logger at surface" ;1c:T7b2,Coastal waters are among the most heavily used and threatened systems on the planet. Successful prediction and management of coastal resources can only come from a deep understanding of the dynamics of the species in these regions. Fluctuations of coastal invertebrate and vertebrate populations are often driven by the supply of planktonic larvae to the adult habitat by ocean currents. Numerous studies have associated the cross-shelf transport of plankton - including the larvae of economically valuable species - with the internal tide: a wave in the ocean's interior that oscillates at the tidal frequency. Though the interactions of plankton with internal waves have been studied for decades, it has not been possible to track individual plankton underwater. Thus, the dynamics underlying the cross-shelf transport of plankton in internal waves and internal tides remain conjectural. This project will use undersea swarms of novel, autonomous plankton-mimicking drifting robots to quantify, in situ, the cross-shore transport of plankton driven by high-frequency internal waves and the internal tide. This research will significantly enhance our understanding of the distributions, settling patterns, and population connectivity of coastal species. One PhD student will be supported and educational outreach in collaboration with the Ocean Discovery Program in San Diego will support curricula creation, after-school programs, and teacher development. These researchers have recently gained the capability to deploy swarms of plankton-mimicking, autonomous, drifting robots in the ocean. These robots, Autonomous Underwater Explorers (AUEs), are 1.5-liter cylinders with temperature and pressure sensors, a hydrophone, and a piston that regulates buoyancy. Subsurface three-dimensional localization is accomplished through an acoustic long-baseline navigation system. The three-dimensional position of each AUE is obtained every 12 seconds with ~1 m horizontal and6:["$","$L19",null,{"dataset":{"_id":"742137","description":"

Temperature from a thermistor chain deployed along a 30m depth contour at Mission Beach, CA in June of 2016. Water temperatures are measured values at each instrument height, interpolated on a common time grid.

The default data format served through the BCO-DMO data system is tabular. These data are available to download as matrices in NetCDF (.nc) and Matlab (.mat) files in the \"Data Files\" section of this page.

Related Datasets (Jun 2016, Mission Beach, CA)

* WireWalker https://www.bco-dmo.org/dataset/742124
\n* ADCP https://www.bco-dmo.org/dataset/742132

\n","problem":"","acquisition":"

A vertical array of thermistors was deployed on the 30-m depth contour off Mission Beach, CA in line with Internal Waves on the Continental Margin (IWAVES) stations. For more information about IWAVES stations see Lerczark, 2001. Thermistors were spaced 1-m apart in the vertical. One thermistor was added at the surface. See Tchain30_MooringSchematic.pdf for a diagram of the thermistor configuration and serial numbers. Depth values in this schematic are the target deployment depths and vary from the measured values due to tidal fluctuations.

\n","processing":"

RBRsolo s/n 10174 and 10178, and SBE56 s/n 00345 were either lost from entanglement with fishing boat or did not record data. Unix timestamp derived using RSKtool datenum2unixtime(), time steps should be 1 s, but varies between 0, 1, and 2 s. Use start time and add 1 s if needed.

BCO-DMO Data Manager Processing Notes:

* added a conventional header with dataset name, PI name, version date

* modified parameter names to conform with BCO-DMO naming conventions

* blank values in this dataset are displayed as \"nd\" for \"no data.\" nd is the default missing data identifier in the BCO-DMO system.

* created tabular version of data by converting Matlab struct to a Matlab Table type then exported as csv.

* rounded matlab double values to three decimal places before writing to csv.

* On the first day (2018-06-13) records are ommitted in the tabular version of the data. All values (except depth &time) were NaN values.

\n","bcodmoProcessing":"","title":"Temperature from a thermistor chain deployed along a 30m depth contour at Mission Beach, CA in June of 2016","nickname":"Temperature from thermistor chain","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2018-07-24T04:00:00.000Z","abstract":"Temperature from a thermistor chain deployed along a 30m depth contour at Mission Beach, CA in June of 2016.","citation":"Franks, P., Lucas, A. (2018) Temperature from a thermistor chain deployed along a 30m depth contour at Mission Beach, CA in June of 2016. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2018-07-24 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.742137.1 [access date]","citationParts":{"identifier":"doi:10.1575/1912/bco-dmo.742137.1","versionDate":"2018-07-24","versionId":"1","year":"2018","title":"Temperature from a thermistor chain deployed along a 30m depth contour at Mission Beach, CA in June of 2016","authors":"Franks, P., Lucas, A.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.1575/1912/bco-dmo.742137.1","release_date":"2020-01-01T05:00:00.000Z","field_dataset_location":"","temporal_extent":{"start":"2016-06-10T04:00:00.000Z","end":"2016-06-27T04:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1465531200","label":"2016-06-10"},"end":{"value":"1467000000","label":"2016-06-27"}},"spatial_extent":{"shape":"point","center":{"latitude":32.7688,"longitude":-117.2819},"wkt":" POINT (-117.2819 32.7688)","north":0,"east":0,"south":0,"west":0},"dataset_type":["Other Field Results"],"keywords":["oceans"],"data_files":[{"id":"785543","title":"QuIPP2016_Tchain_30m.mat","url":"https://datadocs.bco-dmo.org/docs/QuIPP/742137/1/data_docs/QuIPP2016_Tchain_30m.mat","showTableUrl":"","description":"$1a","filename":"QuIPP2016_Tchain_30m.mat","bytesize":837744900,"checksum":{"value":"ffde6c4af0e68cbf975cd89594474b66","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"application/matlab","fileType":{"_id":"746","name":"MATLAB Data (.mat)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":false,"showTable":false,"restricted":false},{"id":"785544","title":"QuIPP2016_Tchain_30m.nc","url":"https://datadocs.bco-dmo.org/docs/QuIPP/742137/1/data_docs/QuIPP2016_Tchain_30m.nc","showTableUrl":"","description":"$1b","filename":"QuIPP2016_Tchain_30m.nc","bytesize":364994240,"checksum":{"value":"68c9fdaeb48bd6f24bbbeae12afe7adf","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"application/x-netcdf","fileType":{"_id":"565","name":"NetCDF"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":false,"showTable":false,"restricted":false},{"id":"902228","title":"tchain.csv","url":"https://datadocs.bco-dmo.org/dataset/742137/file/B11vA66iD416Jk/tchain.csv","showTableUrl":"https://www.bco-dmo.org/dataset/742137/data/view/902228","description":"Primary data file for dataset ID 742137","filename":"tchain.csv","bytesize":278159109,"checksum":{"value":"ad267c2d5c215cd3e37786736aa056e8","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"bcodmo_dataset_742137","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"652182","name":"Peter Franks"},"performedAtOrganization":{"_id":"26","name":"University of California-San Diego Scripps"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"51684","name":"Andrew J Lucas"},"performedAtOrganization":{"_id":"26","name":"University of California-San Diego Scripps"}},{"role":{"_id":"133","name":"Contact"},"performedBy":{"_id":"742127","name":"Jessica C. Garwood"},"performedAtOrganization":{"_id":"26","name":"University of California-San Diego Scripps"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"643627","name":"Amber D. York"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"742542","name":"QuIPP_2016","synonyms":[],"dates":{"start":"2016-06-10T00:00:00.000Z","end":"2016-06-28T00:00:00.000Z"},"platform":{"_id":"543886","name":"shoreside Calif_shore"},"chiefScientists":[]}],"funding":[{"_id":"652178","name":"OCE-1459393","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1459393"}],"instruments":[{"_id":"742521","name":"RBRsolo","description":"","type_id":"639396","type_name":"Temperature Logger","type_desc":"Records temperature data over a period of time.","type_acronym":""},{"_id":"742523","name":"SBE56","description":"","type_id":"639396","type_name":"Temperature Logger","type_desc":"Records temperature data over a period of time.","type_acronym":""},{"_id":"742524","name":"RBRduo","description":"Conductivity and Temperature logger.","type_id":"639396","type_name":"Temperature Logger","type_desc":"Records temperature data over a period of time.","type_acronym":""}],"parameters":[{"_id":"742707","name":"ISO_DateTime_UTC","format":"","frictionlessType":"","description":"

Timestamp (UTC) in standard ISO 8601:2004(E) format YYYY-mm-ddTHH:MM:SSZ

","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)

"}},{"_id":"742708","name":"Surface_height","format":"","frictionlessType":"","description":"

Sea surface height

","units":{"_id":"","name":"meters (m)"},"type":{"_id":"708557","name":"sea_elevation","description":"

Sea surface vertical distance above a named surface.

Example: Elevation of water level in meters in reference to the North American Vertical Datum established in 1988 (NAVD88)

"}},{"_id":"742709","name":"T_surface","format":"","frictionlessType":"","description":"

Water temperature from surface thermistor