BCO-DMO ERDDAP
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Row Type | Variable Name | Attribute Name | Data Type | Value |
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attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt |
attribute | NC_GLOBAL | acquisition_description | String | Full details for collection and analyses of underway Chl samples are provided\nby Go\\u00f1i et al., submitted . Brief summaries are provided below.\n \nSamples for this study were collected aboard RV Oceanus using the surface\nunderway scientific system.\n \nAboard the vessel we had access to uncontaminated seawater and collected\nsamples at specific times that allowed us to determine location (latitude and\nlongitude) and seawater characteristics (temperature and salinity) from the\nships\\u2019 navigation and sensor panels. We used a semi-automated filtration\nsystem (SAFS) described by Go\\u00f1i et al., (2019) connected to Oceanus\nsurface underway water to collect particulate samples for chlorophyll analyis.\nSurface underway water was connected to the SAFS through a manual flow-control\nvalve via opaque polyethylene tubing.\\u00a0 A fly wheel flow meter was placed\nin-line and connected to a laptop computer using a data acquisition system to\nmeasure and record flows during the filtration stage. A switching valve with 8\nports was placed downstream from the flow meter and controlled by the\nlaptop.\\u00a0 Under stand-by conditions, flow was directed to the\n\\u2018waste\\u2019 port, which was fitted with unobstructed tubing that drained\ninto one of the ship\\u2019s sinks and flowed back to sea.\\u00a0 For\nChlorophyll (Chl) measurements, samples were collected via the SAFS using 25\nmm pre-combusted GF/F membranes placed inside stainless steel filter holders.\nOnce filters were fitted in each of the sample ports, the filtration program\nwas started to collect samples at selected intervals.\n \nOnce the filtration run was completed, the filter housings were removed from\nthe SAFS, opened, and each individual filter placed in a closed container and\nstored in -80oC freezer until analyses.\\u00a0 Each sample was assigned a\nspecific time stamp (start-end of filtration process) that coincided with the\nship\\u2019s clock and allowed us to retrieve location and oceanographic data\nfor each sample, as well as determine an overall filtration volume, which was\nused to calculate total chlorophyll concentrations once analyses were\ncompleted.\n \nSamples were processed and analyzed following the method outlined in\nStrickland and Parsons (1972). Brifely, chlorophyll a concentrations were\ndetermined using the method of where samples were extracted in 90% acetone for\n48 hours at -20\\u00b0C in the dark and measured fluorometrically using a\nTurner Designs 10-AU fluorometer.\n \nReferences cited: Strickland & Parson, 1972; Go\\u00f1i et al., 2019; Go\\u00f1i\net al., submitted. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 772629 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1459480 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459480 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_0_program_manager | String | Henrietta N Edmonds |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 51517 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Particulate chlorophyll \n PI: Miguel Goni \n Data Version 1: 2020-07-02 |
attribute | NC_GLOBAL | Conventions | String | COARDS, CF-1.6, ACDD-1.3 |
attribute | NC_GLOBAL | creator_email | String | info at bco-dmo.org |
attribute | NC_GLOBAL | creator_name | String | BCO-DMO |
attribute | NC_GLOBAL | creator_type | String | institution |
attribute | NC_GLOBAL | creator_url | String | https://www.bco-dmo.org/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
attribute | NC_GLOBAL | dataset_current_state | String | Final and no updates |
attribute | NC_GLOBAL | date_created | String | 2020-06-30T12:20:18Z |
attribute | NC_GLOBAL | date_modified | String | 2020-07-24T00:54:37Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.26008/1912/bco-dmo.817214.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -123.9781518 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 45.7415 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 43.4996 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -123.9781518 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -125.009 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/817214 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Turner Fluorometer 10-AU |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Chlorophyll concentrations were determined using a Turner Designs 10-AU fluorometer. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 817791 |
attribute | NC_GLOBAL | instruments_0_description | String | The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA) |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Turner Designs Fluorometer 10-AU |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 464 |
attribute | NC_GLOBAL | instruments_1_acronym | String | SBE 48 |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | Surface water temperature was measured outside the ship by a hull-mounted (3 m) sensor (SBE 48). |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 817788 |
attribute | NC_GLOBAL | instruments_1_description | String | The SBE 48 is a high-accuracy temperature recorder with non-volatile memory, designed for shipboard determination of sea surface temperature. Installed with magnets just below the water line, the SBE 48's temperature sensor is in contact with the inside of the ship's hull. For more information, see the SBE48 Manual. |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/134/ |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Sea-Bird SBE 48 Hull Temperature Sensor |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 648 |
attribute | NC_GLOBAL | instruments_2_acronym | String | SBE 38 |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_description | String | Surface water temperature was measured inside the ship by a flow-through system sensor (SBE 38). |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 817789 |
attribute | NC_GLOBAL | instruments_2_description | String | Sea-Bird SBE 38 Remote Digital Immersion Thermometer is a seawater temperature sensor in a 10,500 meter (34,400 ft) titanium pressure housing. Real-time temperature data is transmitted in ASCII characters (degrees C or raw counts) via an RS-232 or optional RS-485 serial interface for display or logging by PC or data logger. The SBE 38's measurement range is -5 to +35 C; absolute accuracy is better than 0.001 C (1 mK) and resolution is approximately 0.00025 C (0.25 mK). |
attribute | NC_GLOBAL | instruments_2_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0191/ |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Sea-Bird SBE 38 Remote Digital Immersion Thermometer |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 673 |
attribute | NC_GLOBAL | instruments_3_acronym | String | SBE 45 MicroTSG |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_description | String | Salinity was measured by a SBE 45 thermosalinograph installed inside the ship in line with the flow-through system. |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_nid | String | 817790 |
attribute | NC_GLOBAL | instruments_3_description | String | A small externally powered, high-accuracy instrument, designed for shipboard determination of sea surface (pumped-water) conductivity and temperature. It is constructed of plastic and titanium to ensure long life with minimum maintenance. It may optionally be interfaced to an external SBE 38 hull temperature sensor.\n\nSea Bird SBE 45 MicroTSG (Thermosalinograph) |
attribute | NC_GLOBAL | instruments_3_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0190/ |
attribute | NC_GLOBAL | instruments_3_instrument_name | String | Sea-Bird SBE 45 MicroTSG Thermosalinograph |
attribute | NC_GLOBAL | instruments_3_instrument_nid | String | 528063 |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, chemical, chemistry, chlorophyll, concentration, concentration_of_chlorophyll_in_sea_water, cruise, Cruise_ID, data, dataset, date, density, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Salinity/Density > Salinity, erddap, iso, ISO_DateTime_UTC, latitude, longitude, management, ocean, oceanography, oceans, office, practical, preliminary, pst, salinity, science, sea, sea_water_practical_salinity, seawater, temperature, time, water |
attribute | NC_GLOBAL | keywords_vocabulary | String | GCMD Science Keywords |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/817214/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/817214 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 45.7415 |
attribute | NC_GLOBAL | param_mapping | String | {'817214': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/817214/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Oregon State University |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | OSU-CEOAS |
attribute | NC_GLOBAL | people_0_person_name | String | Miguel A. Goni |
attribute | NC_GLOBAL | people_0_person_nid | String | 772632 |
attribute | NC_GLOBAL | people_0_role | String | Principal Investigator |
attribute | NC_GLOBAL | people_0_role_type | String | originator |
attribute | NC_GLOBAL | people_1_affiliation | String | University of Hawaii at Manoa |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | SOEST |
attribute | NC_GLOBAL | people_1_person_name | String | Angelicque E. White |
attribute | NC_GLOBAL | people_1_person_nid | String | 51091 |
attribute | NC_GLOBAL | people_1_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_1_role_type | String | originator |
attribute | NC_GLOBAL | people_2_affiliation | String | Oregon State University |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | OSU-CEOAS |
attribute | NC_GLOBAL | people_2_person_name | String | Emmanuel Alegria |
attribute | NC_GLOBAL | people_2_person_nid | String | 819312 |
attribute | NC_GLOBAL | people_2_role | String | Scientist |
attribute | NC_GLOBAL | people_2_role_type | String | originator |
attribute | NC_GLOBAL | people_3_affiliation | String | Oregon State University |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | OSU-CEOAS |
attribute | NC_GLOBAL | people_3_person_name | String | Elizabeth R. Corvi |
attribute | NC_GLOBAL | people_3_person_nid | String | 819310 |
attribute | NC_GLOBAL | people_3_role | String | Scientist |
attribute | NC_GLOBAL | people_3_role_type | String | originator |
attribute | NC_GLOBAL | people_4_affiliation | String | Oregon State University |
attribute | NC_GLOBAL | people_4_affiliation_acronym | String | OSU-CEOAS |
attribute | NC_GLOBAL | people_4_person_name | String | Katie Watkins-Brandt |
attribute | NC_GLOBAL | people_4_person_nid | String | 556130 |
attribute | NC_GLOBAL | people_4_role | String | Scientist |
attribute | NC_GLOBAL | people_4_role_type | String | originator |
attribute | NC_GLOBAL | people_5_affiliation | String | Oregon State University |
attribute | NC_GLOBAL | people_5_affiliation_acronym | String | OSU-CEOAS |
attribute | NC_GLOBAL | people_5_person_name | String | Kylie A. Welch |
attribute | NC_GLOBAL | people_5_person_nid | String | 819311 |
attribute | NC_GLOBAL | people_5_role | String | Scientist |
attribute | NC_GLOBAL | people_5_role_type | String | originator |
attribute | NC_GLOBAL | people_6_affiliation | String | Oregon State University |
attribute | NC_GLOBAL | people_6_affiliation_acronym | String | OSU-CEOAS |
attribute | NC_GLOBAL | people_6_person_name | String | Miguel A. Goni |
attribute | NC_GLOBAL | people_6_person_nid | String | 772632 |
attribute | NC_GLOBAL | people_6_role | String | Contact |
attribute | NC_GLOBAL | people_6_role_type | String | related |
attribute | NC_GLOBAL | people_7_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_7_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_7_person_name | String | Karen Soenen |
attribute | NC_GLOBAL | people_7_person_nid | String | 748773 |
attribute | NC_GLOBAL | people_7_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_7_role_type | String | related |
attribute | NC_GLOBAL | project | String | CCAW |
attribute | NC_GLOBAL | projects_0_acronym | String | CCAW |
attribute | NC_GLOBAL | projects_0_description | String | NSF Award Abstract:\nAs is true for many coastal regions worldwide, the Pacific Northwest margin is characterized by intense seasonal contrasts in conditions controlling carbon flux between the atmosphere, land, and ocean. During the wintertime, rapid and intense flooding of small coastal rivers and the associated inputs of freshwater, nutrients, and organic matter are commonplace in the Pacific Northwest. Impacts of these wintertime terrestrial-ocean transfers by small, flood-prone rivers on the upwelling regions, such as the Pacific Northwest, have been underestimated at both global and regional scales. In order to gain a complete and predictive understanding of carbon cycling in ocean margins, the biogeochemistry of periods of intense terrestrial-ocean transfers needs to be comprehensively studied. This project will evaluate the dynamics of organic matter cycling along an upwelling-dominated margin during the wintertime period of active terrestrial inputs and biological cycling using a combination of shipboard, glider, moored and remote measurements. New developments in ocean observational technologies through the Ocean Observatories Initiative (OOI)* and existing scientific infrastructure along the Oregon coast will be instrumental in achieving this goal. This work will provide research opportunities for undergraduate and graduate students, and outreach will be conducted through the Centers for Ocean Science Education Excellence Pacific Partnership, local coastal community colleges, and interpretative centers such as Oregon State University Hatfield Center, the Umpqua Discovery Center, and Oregon Coast Aquarium in an effort to educate students and the public about the research.\nGlobally, most studies of carbon cycling in eastern boundary regimes have focused on the upwelling phase during the summer months, resulting in a much poorer understanding of non-upwelling periods. As is many coastal upwelling systems, wintertime conditions along the Pacific Northwest margin are characterized by southerly, downwelling-favorable winds and moisture-laden storms that result in seasonal flooding by the numerous small to medium-sized rivers in the region. Elevated discharges by these coastal rivers translate into large inputs of land-derived biogeochemical relevant constituents, including freshwater, dissolved inorganic nutrients, and dissolved and particulate organic matter, which collectively rival or exceed those of the Columbia River. To understand the impact of flood-derived terrestrial inputs on the biogeochemistry of the coastal zone along the Pacific Northwest margin, researchers will conduct a detailed investigation of biogeochemical processes in the water column along the Newport Hydrographic Line off the central Oregon coast during fall/winter conditions. The project includes an intensive field effort that takes advantage of ship-based and autonomous platforms to gain comprehensive wintertime coverage. Among the project outcomes, this effort will lead to a revised paradigm of the biogeochemical drivers of carbon cycling in coastal margins.\n*The Ocean Observatories Initiative (OOI) is an NSF-funded, networked infrastructure of science-driven sensor systems to measure the physical, chemical, geological and biological variables in the ocean and seafloor. For more information about OOI, please visit the website: www.oceanobservatories.org |
attribute | NC_GLOBAL | projects_0_end_date | String | 2019-02 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Oregon Coast (47-43 N, 126-124 W) |
attribute | NC_GLOBAL | projects_0_name | String | Coastal Ocean Carbon Cycling during Wintertime Conditions |
attribute | NC_GLOBAL | projects_0_project_nid | String | 772630 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2015-03 |
attribute | NC_GLOBAL | publisher_name | String | Biological and Chemical Oceanographic Data Management Office (BCO-DMO) |
attribute | NC_GLOBAL | publisher_type | String | institution |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | Southernmost_Northing | double | 43.4996 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Particulate chlorophyll data set and added temperature and salinity from samples collected using ship\\u2019s surface underway system taken on board of the R/V Oceanus OC1701A, OC1611B, OC1603B, OC1602A, OC1601A in the Oregon Coast (47-43 N, 126-124 W) from 2016 to 2017. |
attribute | NC_GLOBAL | time_coverage_end | String | 2017-01-16T05:07Z |
attribute | NC_GLOBAL | time_coverage_start | String | 2016-01-23T14:21Z |
attribute | NC_GLOBAL | title | String | [Underway Chl] - Particulate chlorophyll data set from samples collected using ship’s surface underway system taken on board of the R/V Oceanus OC1701A, OC1611B, OC1603B, OC1602A, OC1601A in the Oregon Coast (47-43 N, 126-124 W) from 2016 to 2017 (Coastal Ocean Carbon Cycling during Wintertime Conditions) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -125.009 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.5 |
variable | Cruise_ID | String | ||
attribute | Cruise_ID | bcodmo_name | String | cruise_id |
attribute | Cruise_ID | description | String | Cruise designation |
attribute | Cruise_ID | long_name | String | Cruise ID |
attribute | Cruise_ID | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 43.4996, 45.7415 |
attribute | latitude | axis | String | Y |
attribute | latitude | bcodmo_name | String | latitude |
attribute | latitude | colorBarMaximum | double | 90.0 |
attribute | latitude | colorBarMinimum | double | -90.0 |
attribute | latitude | description | String | Latitude measured by ship’s navigation system for sample/data collection, southern hemisphere is negative |
attribute | latitude | ioos_category | String | Location |
attribute | latitude | long_name | String | Latitude |
attribute | latitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LATX/ |
attribute | latitude | standard_name | String | latitude |
attribute | latitude | units | String | degrees_north |
variable | longitude | double | ||
attribute | longitude | _CoordinateAxisType | String | Lon |
attribute | longitude | _FillValue | double | NaN |
attribute | longitude | actual_range | double | -125.009, -123.9781518 |
attribute | longitude | axis | String | X |
attribute | longitude | bcodmo_name | String | longitude |
attribute | longitude | colorBarMaximum | double | 180.0 |
attribute | longitude | colorBarMinimum | double | -180.0 |
attribute | longitude | description | String | Longitude as measured by ship’s navigation system for sample/data collection, western hemisphere is negative |
attribute | longitude | ioos_category | String | Location |
attribute | longitude | long_name | String | Longitude |
attribute | longitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LONX/ |
attribute | longitude | standard_name | String | longitude |
attribute | longitude | units | String | degrees_east |
variable | Date_Time_PST | String | ||
attribute | Date_Time_PST | bcodmo_name | String | date_local |
attribute | Date_Time_PST | description | String | Date and time of sample and data collection (pacific standard time) |
attribute | Date_Time_PST | long_name | String | Date Time PST |
attribute | Date_Time_PST | source_name | String | Date_Time_PST |
attribute | Date_Time_PST | time_precision | String | 1970-01-01T00:00Z |
attribute | Date_Time_PST | units | String | unitless |
variable | Temperature | float | ||
attribute | Temperature | _FillValue | float | NaN |
attribute | Temperature | actual_range | float | 8.45, 13.21 |
attribute | Temperature | bcodmo_name | String | temperature |
attribute | Temperature | description | String | Temperature in degrees Celsius measured at seachest in ship’s underway system at the time of sample collection |
attribute | Temperature | long_name | String | Temperature |
attribute | Temperature | units | String | degrees Celsius (°C) |
variable | Salinity | float | ||
attribute | Salinity | _FillValue | float | NaN |
attribute | Salinity | actual_range | float | 26.3, 32.66 |
attribute | Salinity | bcodmo_name | String | sal |
attribute | Salinity | colorBarMaximum | double | 37.0 |
attribute | Salinity | colorBarMinimum | double | 32.0 |
attribute | Salinity | description | String | Salinity measured by TSG lab unit in ship’s underway system at the time of sample collection |
attribute | Salinity | long_name | String | Sea Water Practical Salinity |
attribute | Salinity | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/ |
attribute | Salinity | units | String | unitless |
variable | Chlorophyll | float | ||
attribute | Chlorophyll | _FillValue | float | NaN |
attribute | Chlorophyll | actual_range | float | 0.045, 12.874 |
attribute | Chlorophyll | bcodmo_name | String | chl_tot |
attribute | Chlorophyll | colorBarMaximum | double | 30.0 |
attribute | Chlorophyll | colorBarMinimum | double | 0.03 |
attribute | Chlorophyll | colorBarScale | String | Log |
attribute | Chlorophyll | description | String | Total chlorophyll concentrations measured in filtered samples collected from ship’s undereway system using a semi-automated filtration system. |
attribute | Chlorophyll | long_name | String | Concentration Of Chlorophyll In Sea Water |
attribute | Chlorophyll | units | String | miligrams of Chl per cubic meter of water (mg/m3) |
variable | time | double | ||
attribute | time | _CoordinateAxisType | String | Time |
attribute | time | actual_range | double | 1.45355886E9, 1.48454322E9 |
attribute | time | axis | String | T |
attribute | time | bcodmo_name | String | ISO_DateTime_UTC |
attribute | time | description | String | Date and time of sample and data collection in UTC, standard ISO format (yyyy-mm-ddThh:mmZ) |
attribute | time | ioos_category | String | Time |
attribute | time | long_name | String | ISO Date Time UTC |
attribute | time | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/ |
attribute | time | standard_name | String | time |
attribute | time | time_origin | String | 01-JAN-1970 00:00:00 |
attribute | time | time_precision | String | 1970-01-01T00:00Z |
attribute | time | units | String | seconds since 1970-01-01T00:00:00Z |