14:I[71133,["4507","static/chunks/e2799680-446c489506865058.js","7665","static/chunks/7665-81c5407bc4489ff9.js","8500","static/chunks/8500-e4dd1cb1bb626827.js","9753","static/chunks/9753-028c0a26aa71f2d4.js","8437","static/chunks/8437-a09d0b83fcec76af.js","4557","static/chunks/4557-64c5efa221bc528f.js","947","static/chunks/947-410627998426400f.js","5357","static/chunks/5357-6142894e88cb7da2.js","8382","static/chunks/app/dataset/%5Bid%5D/data/view/page-177ea8adea7aed86.js"],"default"] 15:T6a4,

This dataset includes the processed CTD sensor data from upcasts of a trace metal clean CTD owned by the Fitzsimmons lab and deployed on the Hydrothermal Estuaries cruise to the Endeavour hydrothermal plume, Juan de Fuca Ridge, Northeast Pacific Ocean aboard R/V Atlantis (AT50-15) from August-September 2023. Bottles were closed on the upcast only, which is why these casts were selected. Station locations were selected using modeling estimates and sensor data from the AUV Sentry; a station upstream of the hydrothermal plume was also sampled as a background. Each station (except for the background) targeted the most concentrated plume at sequential distances aimed to represent increasing plume age.

Data were collected using a Sea-bird SBE 19+v2 CTD instrument package designed to continuously measure conductivity, temperature, and pressure, and all titanium housings were used to satisfy trace metal clean conditions. The CTD includes two components, the deck unit (SBE 33) and underwater unit (SBE 19+v2) for real-time monitoring. The SBE 19+v2 comes with the standard three sensors and can hold up to six additional sensors. Here we chose to supplement the CTD data with oxygen (SBE 43), transmissometry (C-Star), and turbidity (Seapoint Turbidity Meter and a 100x gain cable).

Profiles were taken at each of the five main vent sites at the Main Endeavour Field (between 48°00 N and 47°54 N) and stations up to 20 kilometers west from these sites. Stations were selected based on modeling and AUV Sentry surveys to target the hydrothermal plume. An upstream background station was also sampled north of the vent site. All samples taken were deeper than 1700 meters.

16:T65b,This section documents curation actions performed prior to publication review with the submitter, and additional information relevant to understanding and reusing this dataset. It distinguishes changes made to the submitted (meta)data from unresolved issues and/or enhancements that improve future reuse and interoperability. CURATION ACTIONS PERFORMED ON DATA - Imported original file "2025-1104-BCO-DMO_HydEst_CTD_Upcast_Combined.xlsx" (sheet 1) into the BCO-DMO data processing system. - Removed trailing "Z" character from ISO_DATE_TIME_START_EVENT and ISO_DATE_TIME_END_EVENT columns because these columns are reported as being in the PDT time zone. - Renamed columns to indicate PDT local time: START_DATE to START_DATE_PDT, START_EVENT to START_TIME_PDT, ISO_DATE_TIME_START_EVENT to ISO_DATE_TIME_START_PDT, END_DATE to END_DATE_PDT, END_EVENT to END_TIME_PDT, ISO_DATE_TIME_END_EVENT to ISO_DATE_TIME_END_PDT. - Converted ISO_DATE_TIME_START_PDT from PDT local time to UTC, creating new column ISO_DATE_TIME_START_UTC. - Converted ISO_DATE_TIME_END_PDT from PDT local time to UTC, creating new column ISO_DATE_TIME_END_UTC. - Converted START_DATE_PDT and END_DATE_PDT columns from format %m-%d-%y to date output format %Y-%m-%d. - Converted START_TIME_PDT and END_TIME_PDT columns to %H:%M time format. - Saved the final file as "1008753_v1_hydest_tm-ctd_upcast.csv". CURATION ACTIONS PERFORMED ON METADATA - BCO-DMO's standard metadata entry and text formatting steps were performed. See: https://www.bco-dmo.org/how-to/standard-curation-edits ISSUES POTENTIALLY IMPACTING REUSE - N/A 17:T1d13,NSF Award Abstract: Like volcanoes on land, the mid-ocean ridges that cross the ocean floor are not continuously erupting; however, the magmatic heat present just beneath the surface can continue to drive hot springs, just like the ones found within the crater of the "super volcano" at Yellowstone. In our recent work, we have shown that the chemicals released into the oceans from seafloor hot-springs can be dispersed all across the oceans. Now our interest has focused in on one element in particular, iron. This is one of the most abundant elements in every planetary body in the Universe yet it is vanishingly rare in Earth's oceans today. Set against that, it is essential to just about every form of life on Earth from the simplest and most ancient strains of microbes to the most complex animals including humans. In Earth's oceans, the lack of this "essential micro-nutrient" has been found to limit how much life can flourish near both the south and north poles in the Pacific Ocean in the sunlit surface ocean even though the supply of sunlight and other major nutrients (phosphorous, nitrogen) should be more than adequate. Our newest research suggests that iron released from hydrothermal plumes (where the concentrations coming from vents are more than 1 million times higher than normal ocean water) could play a major role. Despite undergoing massive dilution as hydrothermal solutions leave the vents and traverse thousands of kilometers through the oceans, we believe that at least some of the iron released from deep sea hot springs can survive this journey and make a significant impact on how much live exists in Earth's polar oceans and how much CO2 it draws down from the atmosphere. To investigate that idea, this project will study the fate of iron released from a hydrothermal vent over a length scale that hasn't been studied before - from the first 1km through the ocean out to 100km away from the vent-site. This will fill a gap in our knowledge between what happens right at a vent-site (as studied by research submarines) and what happens to ocean chemistry all across Earth's entire ocean basins (as studied by a huge international research project called GEOTRACES). Our work will use a 3D computational model to predict where the plume of material from a vent in the Northeast Pacific Ocean should escape to after it is erupted from some vents at a volcanic system called the Juan de Fuca Ridge. We will then use an advanced autonomous free-swimming robot to search out in the predicted plume area, first to test the accuracy of our predicted model and, second, to collect samples from the hydrothermal plume from where it first forms to as far out as we can follow it. The samples we collect will include both filtered seawater and the particulate material (whether mineralogical or microbiological) that we can extract from the filters. Together, this will allow us to track the fate of the iron and other key physical and geochemical tracers down-plume away from the vents, to work out where it ends up (in the water and in the sediments) and also how fast those processes happen. The work we do will also help plan how to conduct similar robotics-based exploration on future space missions beyond Earth where it has been hypothesized that seafloor events also exist (e.g. Saturn's moon Enceladus) and where, if we are really lucky, we may find that life is hosted based on the energy from seafloor volcanoes, just as happens here on Earth. We have a resident artist embedded in our program who has already begun experimenting with the use of air-flow and sound in her sculptures to help communicate the complex nature of these plumes. She will join our cruise, and work with our team post-cruise to design and hopefully build a sculpture that that could potentially result in a large and long-term outdoor installation. The international GEOTRACES program has revealed that iron (Fe) is released ubiquitously from submarine ridges to the deep ocean. Results from US GEOTRACES section GP16 showed that both dissolved and particulate (colloidal) Fe may persist so far as to be able to influence primary productivity in High-Nutrient/Low-Chlorophyll (HNLC) regions of the Southern Ocean. As a complement to these sectional studies, we propose a detailed process study to elucidate the mechanisms by which hydrothermally sourced Fe can persist across the oceans at the scale that GEOTRACES has revealed. Specifically, while the "persistent" Fe in a hydrothermal plume appears to behave quasi-conservatively from 100km to 4000km across the SE Pacific Ocean, it is also known that the majority of the Fe present at the Southern EPR on that US GEOTRACES GP16 cruise did not persist over the 100km separation between that station and the next deep ocean station beyond the ridge crest. To fill that gap, this project will conduct a coupled modelling and field study to investigate the fate of hydrothermally sourced Fe at ranges of 0-1, 1-10 and 10-100km down-plume away from a well established vent-source. To begin, we will use the detailed micro-bathymetry and the long-term current meter data available from the Main Endeavour Segment of the Juan de Fuca Ridge to implement a recently developed 3D theoretical plume dispersion model that can predict both the detailed 3D dispersion trajectory and the rate of flow within the hydrothermal plume away from two long-studied and well characterized Main Endeavour Field (MEF) vents. At sea, we will use that predictive model to guide Sentry autonomous underwater vehicle (AUV) surveys that will follow the plume "down-wind" and "across-plume" to compile a 3D survey using in-situ sensors [optical, redox, conductivity, temperature, depth (CTD)] that will allow us to (1) confirm (and better constrain) the predictive model, and to (2) map out the shape and trajectory of the plume to provide context for discrete water column samples that we will collect - both from the AUV and from a trace metal clean CTD-rosette. Sampling from the AUV will use the latest generation of SUPR samplers designed for the CLIO trace-metal-clean water sampler. This will suffice for samples of dissolved, colloidal and particulate trace metals and collection of filtered material for grain-by-grain mineralogical and biogeochemical analyses. That sampling program will be backed up by larger volume sampling down-plume using a CTD-rosette to augment our AUV-based program with helium isotope analyses (to track extents of physical plume dilution at increasing distances downwind and across plume) and for complementary ligand and organic compound analyses to investigate the role that organic complexation might play in protecting reduced species of Fe [and manganese (Mn), too] against oxidative precipitation and removal from the oceanic water column. Post cruise, our combination of biogeochemical measurements and improved 3D physical modelling will not only be able to provide new insights into the processes that control the fluxes of Fe and Mn to the oceans from hydrothermal venting but also the length scales over which those processes take effect. Finally, because our 3D theoretical model includes velocities, we also anticipate being able to deduce the rates at which these processes occur. 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:["$","$L14",null,{"dataset":{"_id":"1008753","description":"","problem":"","acquisition":"$15","processing":"

Real-time data monitoring during the cruise used the Sea-bird software Seasave Version 7.26.7.121, and data were processed after the cruise using SBE Data Processing to extract CTD data at bottle trip depths.

Flagging is consistent with the WOCE Hydrographic Program Quality Flags flagging scheme.

WOCE CTD Quality Code descriptions can be found at https://exchange-format.readthedocs.io/en/latest/quality.html#ctd-quality-codes, and are replicated below:

WOCE CTD Quality Codes:
\n1: Not calibrated.
\n2: Acceptable measurement.
\n3: Questionable measurement.
\n4: Bad measurement.
\n5: Not reported.
\n6: Interpolated over a pressure interval larger than 2 dbar.
\n7: Despiked.
\n(8): Not used for CTD data.
\n9: Not sampled.

\n","bcodmoProcessing":"$16","title":"Upcast sensor data (1 m-binned) from the trace metal CTD on the Hydrothermal Estuaries expedition to the Juan de Fuca hydrothermal plume, Northeast Pacific Ocean, aboard R/V Atlantis (AT50-15) in August and September 2023","nickname":"HydEst TM-CTD upcast sensor data (1 m-binned)","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2026-10-01T04:00:00.000Z","abstract":"This dataset includes the processed CTD sensor data from upcasts of a trace metal clean CTD owned by the Fitzsimmons lab and deployed on the Hydrothermal Estuaries cruise to the Endeavour hydrothermal plume, Juan de Fuca Ridge, Northeast Pacific Ocean aboard R/V Atlantis (AT50-15) from August to September 2023. Bottles were closed on the upcast only, which is why these casts were selected. Station locations were selected using modeling estimates and sensor data from the AUV Sentry; a station upstream of the hydrothermal plume was also sampled as a background. Each station (except for the background) targeted the most concentrated plume at sequential distances aimed to represent increasing plume age.","citation":"Fitzsimmons, J. N., Dick, K. (2026) Upcast sensor data (1 m-binned) from the trace metal CTD on the Hydrothermal Estuaries expedition to the Juan de Fuca hydrothermal plume, Northeast Pacific Ocean, aboard R/V Atlantis (AT50-15) in August and September 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-10-01 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.1008753.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.1008753.1","versionDate":"2026-10-01","versionId":"1","year":"2026","title":"Upcast sensor data (1 m-binned) from the trace metal CTD on the Hydrothermal Estuaries expedition to the Juan de Fuca hydrothermal plume, Northeast Pacific Ocean, aboard R/V Atlantis (AT50-15) in August and September 2023","authors":"Fitzsimmons, J. N., Dick, K.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.1008753.1","release_date":null,"field_dataset_location":"Endeavour Segment, Juan de Fuca Ridge, Northeast Pacific Ocean","temporal_extent":{"start":"2023-08-28T04:00:00.000Z","end":"2023-09-15T04:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1693195200","label":"2023-08-28"},"end":{"value":"1694750400","label":"2023-09-15"}},"spatial_extent":{"shape":"polygon","center":{"latitude":47.963454000287,"longitude":-129.14767200077},"wkt":"POLYGON ((-129.23504 47.923545, -129.060304 47.923545, -129.060304 48.003363, -129.23504 48.003363, -129.23504 47.923545))","north":48.003363,"east":-129.060304,"south":47.923545,"west":-129.23504},"dataset_type":["Cruise Results"],"keywords":["oceans"],"data_files":[{"id":"1008957","title":"1008753_v1_hydest_tm-ctd_upcast.csv","url":"https://datadocs.bco-dmo.org/dataset/1008753/file/1VXgynvumWjqZ/1008753_v1_hydest_tm-ctd_upcast.csv","showTableUrl":"https://www.bco-dmo.org/dataset/1008753/data/view/1008957","description":"Primary data file for dataset ID 1008753, version 1","filename":"1008753_v1_hydest_tm-ctd_upcast.csv","bytesize":13438667,"checksum":{"value":"ee13ab35628624589c5f28d55b1eb66f","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"bcodmo_dataset_1008753_v1","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"51632","name":"Jessica N. Fitzsimmons"},"performedAtOrganization":{"_id":"64","name":"Texas A&M University"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"1008503","name":"Kristie Dick"},"performedAtOrganization":{"_id":"64","name":"Texas A&M University"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"51498","name":"Shannon Rauch"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"989978","name":"AT50-15","synonyms":[],"dates":{"start":"2023-08-25T00:00:00.000Z","end":"2023-09-14T00:00:00.000Z"},"platform":{"_id":"54003","name":"R/V Atlantis"},"chiefScientists":[{"id":"51700","name":"Christopher R. German","role":"Chief Scientist"}]}],"funding":[{"_id":"897806","name":"OCE-1851078","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851078"}],"instruments":[{"_id":"1008760","name":"Sea-bird SBE 19+v2","description":"This is a CTD instrument package designed to continuously measure conductivity, temperature, and pressure, and all titanium housings were used to satisfy trace metal clean conditions. The CTD includes two components, the deck unit (SBE 33) and underwater unit (SBE 19+v2) for real-time monitoring. The SBE 19+v2 comes with the standard three sensors and can hold up to six additional sensors. Here we chose to supplement the CTD data with oxygen (SBE 43), transmissometry (C-Star), and turbidity (Seapoint Turbidity Meter and a 100x gain cable).","type_id":"895522","type_name":"Sea-Bird SBE 19plus V2 SEACAT CTD","type_desc":"Self-contained self-powered CTD profiler. Measures conductivity, temperature and pressure (Digiquartz sensor) in both profiling (samples at 4 scans/sec) and moored (sample rates of once every 5 seconds to once every 9 hours) mode. Available in plastic or titanium housing with depth ranges of 600m and 7000m respectively. Miniature submersible pump provides water to the conductivity cell. Compared to the previous 19plus, the V2 incorporates an electronics upgrade and additional features, with six differentially amplified A/D input channels, one RS-232 data input channel, and 64 MB FLASH memory.","type_acronym":"Sea-Bird SEACAT 19 Plus V2"},{"_id":"1008761","name":"SBE 43","description":"The SBE 19+v2 comes with the standard three sensors and can hold up to six additional sensors. Here we chose to supplement the CTD data with oxygen (SBE 43), transmissometry (C-Star), and turbidity (Seapoint Turbidity Meter and a 100x gain cable).","type_id":"552","type_name":"Sea-Bird SBE 43 Dissolved Oxygen Sensor","type_desc":"The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. More information from the manufacturer: https://www.seabird.com/products/sbe-43-dissolved-oxygen-sensor","type_acronym":"SBE-43 DO"},{"_id":"1008763","name":"Seapoint Turbidity Meter","description":"The SBE 19+v2 comes with the standard three sensors and can hold up to six additional sensors. Here we chose to supplement the CTD data with oxygen (SBE 43), transmissometry (C-Star), and turbidity (Seapoint Turbidity Meter and a 100x gain cable).","type_id":"599","type_name":"Seapoint Turbidity Meter","type_desc":"The Seapoint Turbidity Meter detects light scattered by particles suspended in water, generating an output voltage proportional to turbidity or suspended solids.","type_acronym":"Seapoint Turbidity"},{"_id":"1008762","name":"C-Star transmissometer","description":"The SBE 19+v2 comes with the standard three sensors and can hold up to six additional sensors. Here we chose to supplement the CTD data with oxygen (SBE 43), transmissometry (C-Star), and turbidity (Seapoint Turbidity Meter and a 100x gain cable).","type_id":"593","type_name":"WET Labs {Sea-Bird WETLabs} C-Star transmissometer","type_desc":"The C-Star transmissometer has a novel monolithic housing with a highly integrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The C-Star is capable of free space measurements or flow-through sampling when used with a pump and optical flow tubes. The sensor can be used in profiling, moored, or underway applications. Available with a 6000 m depth rating.\r\n\r\nMore information on Sea-Bird website: https://www.seabird.com/c-star-transmissometer/product?id=60762467717","type_acronym":"WL CSTAR Trans"}],"parameters":[{"_id":"1008765","name":"EXPOCODE","format":"","frictionlessType":"string","description":"

expedition code assigned by the CCHDO: NODCShipCodeYearMonthDay

","units":{"_id":"","name":"unitless"},"type":{"_id":"645727","name":"EXPOCODE","description":"

Used as a unique identifier for a cruise. Usual generation formula is ICES 4 character platform code then the cruise departure date in YYYYMDD format. An underscore character may also be present.

"}},{"_id":"1008766","name":"CRUISE_ID","format":"","frictionlessType":"string","description":"

Cruise ID

","units":{"_id":"","name":"unitless"},"type":{"_id":"1102","name":"cruise_id","description":"

cruise designation; name

"}},{"_id":"1008767","name":"CRUISE_NAME","format":"","frictionlessType":"string","description":"

Cruise name

","units":{"_id":"","name":"unitless"},"type":{"_id":"1929","name":"Cruise Name","description":"

The cruise_name is a local name chosen by project investigators for a research expedition on a vessel, as opposed to the formal/official cruise ID asserted by the vessel operator.

"}},{"_id":"1008768","name":"EVENTNO","format":"","frictionlessType":"string","description":"

Event number

","units":{"_id":"","name":"unitless"},"type":{"_id":"829","name":"event","description":"

Event or operation identifier; event or operation number; often derived from date/time (MMDDHHmm) of sampling and when combined with year (YYYY) is a unique sampling identifier/data processing key. Date/time is not necessarily in GMT.

"}},{"_id":"1008769","name":"STNNBR","format":"","frictionlessType":"integer","description":"

Station number

","units":{"_id":"","name":"unitless"},"type":{"_id":"987","name":"station","description":"

Station identifier; a unique number or alphanumeric string designating a general geographic location at which one or more sampling activities may occur.

"}},{"_id":"1008770","name":"CASTNO","format":"","frictionlessType":"integer","description":"

Cast number

","units":{"_id":"","name":"unitless"},"type":{"_id":"761","name":"cast","description":"

cast or profile number

"}},{"_id":"1008771","name":"START_DATE_PDT","format":"%Y-%m-%d","frictionlessType":"date","description":"

Date cast started (PDT)

","units":{"_id":"","name":"unitless"},"type":{"_id":"502628","name":"date_start","description":"

date sampling starts such as YYYYMMDD

"}},{"_id":"1008772","name":"START_TIME_PDT","format":"%H:%M","frictionlessType":"time","description":"

Time cast started (PDT)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1010","name":"time_start_local","description":"

starting time of observation, local time , 24 hour clock

"}},{"_id":"1008773","name":"ISO_DATE_TIME_START_PDT","format":"","frictionlessType":"string","description":"

Date/Time cast started (ISO formatted) (PDT)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1909","name":"ISO_DateTime_Local","description":"

Date/Time (Local) ISO formatted
\nThis standard is based on ISO 8601:2004(E) and takes on any of the following forms:
\nYYYY-MM-DDTHH:MM:SS[.xx]
\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.

Note the Time Zone (TZ) as +/-HH:MM
\nTime Zone signage is for conversion from local to UTC
\nWest Coast USA in summer is +7 (add 7 hrs to local time for UTC)

"}},{"_id":"1008774","name":"ISO_DATE_TIME_START_UTC","format":"%Y-%m-%dT%H:%M:%SZ","frictionlessType":"datetime","description":"

Date/Time the cast started (ISO formatted) (UTC)

","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":"1008776","name":"END_DATE_PDT","format":"%Y-%m-%d","frictionlessType":"date","description":"

Date cast ended (PDT)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1110","name":"date_end","description":"

date sampling ends; as YYYYMMDD

"}},{"_id":"1008777","name":"END_TIME_PDT","format":"%H:%M","frictionlessType":"time","description":"

Time cast ended (PDT)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1004","name":"time_end_local","description":"

ending time of observation, local time , 24 hour clock

"}},{"_id":"1008778","name":"ISO_DATE_TIME_END_PDT","format":"","frictionlessType":"string","description":"

Date/Time cast ended (ISO formatted) (PDT)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1909","name":"ISO_DateTime_Local","description":"

Note the Time Zone (TZ) as +/-HH:MM
\nTime Zone signage is for conversion from local to UTC
\nWest Coast USA in summer is +7 (add 7 hrs to local time for UTC)

"}},{"_id":"1008779","name":"ISO_DATE_TIME_END_UTC","format":"%Y-%m-%dT%H:%M:%SZ","frictionlessType":"datetime","description":"

Date/Time the cast ended (ISO formatted) (UTC)

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

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

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

"}},{"_id":"1008780","name":"START_EVENT_LAT","format":"","frictionlessType":"number","description":"

Latitude where cast started

","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":"1008782","name":"START_EVENT_LON","format":"","frictionlessType":"number","description":"

Longitude where cast started

","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":"1008784","name":"END_EVENT_LAT","format":"","frictionlessType":"number","description":"

Latitude where cast ended

","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":"1008785","name":"END_EVENT_LON","format":"","frictionlessType":"number","description":"

Longitude where cast ended

","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":"1008786","name":"BTMDEPTH","format":"","frictionlessType":"integer","description":"

Depth of ocean floor

","units":{"_id":"","name":"meters"},"type":{"_id":"1695","name":"depth_bottom","description":"

bottom depth

"}},{"_id":"1008787","name":"CTDDTP","format":"","frictionlessType":"number","description":"

CTD depth calculated based on pressure by Seabird software

","units":{"_id":"","name":"meters"},"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":"1008789","name":"CTDPRS","format":"","frictionlessType":"integer","description":"

CTD pressure (calibrated sensor)

","units":{"_id":"","name":"decibars"},"type":{"_id":"732","name":"pressure","description":"

water pressure at measurement; depth reported as pressure; positive number increasing with water depth

"}},{"_id":"1008790","name":"CTDPRS_FLAG_W","format":"","frictionlessType":"integer","description":"

CTD pressure quality flag (see WOCE Quality Flags)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1008791","name":"CTDTMP","format":"","frictionlessType":"number","description":"

CTD temperature (calibrated sensor): ITS-90

","units":{"_id":"","name":"degrees Celsius"},"type":{"_id":"733","name":"temperature","description":"

water temperature at measurement depth

"}},{"_id":"1008792","name":"CTDTMP_FLAG_W","format":"","frictionlessType":"integer","description":"

CTD temperature quality flag (see WOCE Quality flags)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1008793","name":"CTDSAL","format":"","frictionlessType":"number","description":"

CTD salinity calculated from calibrated conductivity sensor by Seabird software

","units":{"_id":"","name":"PSS-78"},"type":{"_id":"955","name":"sal","description":"

Salinity: The amount (mass or quantity of matter) of salt per amount (volume or mass) of a body of water.

"}},{"_id":"1008794","name":"CTDSAL_FLAG_W","format":"","frictionlessType":"integer","description":"

CTD salinity quality flag (see WOCE Quality flags)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1008795","name":"CTDOXY","format":"","frictionlessType":"number","description":"

CTD oxygen (calibrated sensor)

","units":{"_id":"","name":"micromoles per kilogram (umol/kg)"},"type":{"_id":"910","name":"dissolved Oxygen","description":"

dissolved oxygen concentration

"}},{"_id":"1008796","name":"CTDOXY_FLAG_W","format":"","frictionlessType":"integer","description":"

CTD oxygen quality flag (see WOCE Quality flags)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1008797","name":"TRANSM","format":"","frictionlessType":"number","description":"

Light transmission (0-100%) calculated from calibrated transmissometer using Seabird software

","units":{"_id":"","name":"percent (%)"},"type":{"_id":"1013","name":"transmission","description":"

light transmission, as percent

"}},{"_id":"1008798","name":"TRANSM_FLAG_W","format":"","frictionlessType":"integer","description":"

CTD transmissometer quality flag (see WOCE Quality flags)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}},{"_id":"1008799","name":"TURBDTY","format":"","frictionlessType":"number","description":"

Turbidity (0-5 V DC)

","units":{"_id":"","name":"volts"},"type":{"_id":"1728","name":"turbidity","description":"

Turbidity is the cloudiness or haziness of a fluid caused by individual particles

"}},{"_id":"1008800","name":"TURBTY_FLAG_W","format":"","frictionlessType":"integer","description":"

Turbidity quality flag (see WOCE quality flags)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1144","name":"q_flag","description":"

quality flag; based on a PI established code; identifies a problem/quality issue with sample(s) from a given water bottle or single observation

"}}],"related_publications":[],"related_datasets":[{"_id":"1008499","name":"HydEst TM-CTD bottle sensor data","url":"","relation_type":"IsRelatedTo","type_desc":"

The dataset is related to another dataset.

\n","relation_desc":"","citation":"Fitzsimmons, J. N., Dick, K. (2026) Trace metal CTD bottle sensor data from the Hydrothermal Estuaries expedition to the Juan de Fuca hydrothermal plume, Northeast Pacific Ocean, aboard R/V Atlantis (AT50-15) in August and September 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-09-30 doi:10.26008/1912/bco-dmo.1008499.1"}],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/1008753/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"ERDDAP","items":[{"name":"SUBSET DATA","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1008753_v1.html","contentType":"text/html","actionType":"tool"},{"name":"VIEW TABLE","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1008753_v1.htmlTable","contentType":"text/html","actionType":"view"},{"name":"CSV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1008753_v1.csv","contentType":"text/csv","actionType":"download"},{"name":"TSV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1008753_v1.tsv","contentType":"text/tsv","actionType":"download"},{"name":"GeoJSON","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1008753_v1.geoJson","contentType":"application/geo+json","actionType":"download"},{"name":"MATLAB","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1008753_v1.mat","contentType":"text/x-matlab","actionType":"download"},{"name":"netCDF","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1008753_v1.nc","contentType":"application/x-netcdf","actionType":"download"},{"name":"ODV","description":"","url":"https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1008753_v1.odvTxt","contentType":"text/plain","actionType":"download"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/1008753/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/1008753/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/1008753/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[],"projects":[{"_id":"897794","name":"Collaborative Research: Hydrothermal Estuaries: What Sets the Hydrothermal Flux of Fe and Mn to the Oceans?","acronym":"Hydrothermal Estuaries","description":"$17"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.1008753.1","url":"https://doi.org/10.26008/1912/bco-dmo.1008753.1","date_assigned":"2026-10-05","version_date":"2026-10-01","archiver":"Woods Hole Oceanographic Institution (WHOI BCO-DMO)","archiver_id":"191"}],"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":0},"downloads":{"count":0}}}}]