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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 POM samples are provided\nby Holser et al., 2011 and Go\\u00f1i et al., 2019 and Go\\u00f1i et al.,\nsubmitted. 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 organic matter samples. Surface\nunderway water was connected to the SAFS through a manual flow-control valve\nvia opaque polyethylene tubing.\\u00a0 A fly wheel flow meter was placed in-\nline 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 The 8-sample\nports were fitted with tubing, quick-turn sockets\\u00a0 and in-line stainless\nsteel 13-mm Swinney filter holders.\\u00a0 The flow from these filters was\ndirected to the same sink as the \\u2018waste\\u2019 flow.\\u00a0 In each holder,\nwe placed one pre-combusted (400 oC for 3 hours) 13-mm glass fiber filter\nsupported by a stainless steel screen and locked into place with a Teflon\no-ring that prevents leakage and results in a filtration area of 78.5 mm2.\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 folded into pre-cleaned silver\ncapsules, which were placed into sample trays that were frozen until CN\nanalyses.\\u00a0 Each sample was assigned a specific time stamp (start-end of\nfiltration process) that coincided with the ship\\u2019s clock and allowed us\nto retrieve location and oceanographic data for each sample, as well as\ndetermine an overall filtration volume, which was used to calculate\nparticulate nitrogen and carbon concentrations once their contents were\ndetermined.\\u00a0 During normal operations, we stacked two filter holders at\nspecific positions in order to collect both particles from a sample using the\nfirst filter as well as measure blanks associated with dissolved organic\nmatter sorption as filtered water goes through the second filter.\n \nCarbon and nitrogen analyses were conducted using high temperature\ncombustion/reduction according to Holser et al., 2011 and Go\\u00f1i et al.,\n2019. Sample and blank filters were exposed to concentrated hydrochloric acid\nfumes to remove carbonates and run in two CN analyzers (NC2500 Thermoquest and\nECS 4010 Costech) using the manufacturers\\u2019 recommendations for carbon and\nnitrogen analyses (e.g., specified temperatures for combustion and reduction\nfurnaces, O2 loops/pressure, and the use of a water trap). In each run of a\nfull auto-sampler, we typically included 6 standards (e.g., cystine, atropine)\nwith different and known amounts of carbon and nitrogen to develop distinct\ncalibration curves for each run. All filters were treated the same and we used\nthe DOM blanks to correct for DOC and DN sorption. Detection limits for OC and\nN were 0.04 and 0.03 micromoles, respectively. Replicate analyses of selected\nsamples yielded average standard errors for both measurements of ~2% of\nmeasured values.\n \nReferences cited: Holser et al., 2011; Go\\u00f1i et al., 2019; Go\\u00f1i et\nal., 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 | Underway POM \n PI: Miguel Goni \n Data Version 1: 2020-07-08 |
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 | 2020-07-07T13:42:53Z |
attribute | NC_GLOBAL | date_modified | String | 2020-07-24T00:55:12Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.26008/1912/bco-dmo.817952.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -124.00166 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 45.73821 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 43.49702 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -124.00166 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -125.0027 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/817952 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | WL CSTAR Trans |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Particle beam attenuation (Cp) was measured by a 25-cm, 650 nm wavelength WET Labs C-Star transmissometer installed inside the ship in line with the flow-through system. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 818039 |
attribute | NC_GLOBAL | instruments_0_description | String | A highly integrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The instrument is capable of either free space measurements, or through the use of an optical flow tube, flow-through sampling with a pump. It can be used in profiling, moored, or underway applications. more information from Wet Labs |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0160/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Wet Labs CSTAR Transmissometer |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 593 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | WET Labs C-Star transmissometer |
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 | 818036 |
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_1_supplied_name | String | SBE 48 |
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 | 818037 |
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_2_supplied_name | String | SBE 38 |
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 | 818038 |
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 | instruments_3_supplied_name | String | SBE 45 thermosalinograph |
attribute | NC_GLOBAL | keywords | String | attenuation, bco, bco-dmo, beam, Beam_attenuation, biological, carbon, chemical, cruise, data, dataset, date, density, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, iso, ISO_DateTime_UTC, latitude, longitude, management, ocean, oceanography, oceans, office, organic, particulate, POC, 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/817952/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/817952 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 45.73821 |
attribute | NC_GLOBAL | param_mapping | String | {'817952': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/817952/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 | 43.49702 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Particulate organic matter 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 | 2017-01-16T05:15Z |
attribute | NC_GLOBAL | time_coverage_start | String | 2016-01-23T01:28Z |
attribute | NC_GLOBAL | title | String | [Underway POM] - Particulate organic matter 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 | -125.0027 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.5 |
variable | Cruise | String | ||
attribute | Cruise | bcodmo_name | String | cruise_id |
attribute | Cruise | description | String | Cruise designation |
attribute | Cruise | long_name | String | Cruise |
attribute | Cruise | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 43.49702, 45.73821 |
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 | -125.0027, -124.00166 |
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 | 8.42, 13.05 |
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 | 26.0, 32.69 |
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 | PN | float | ||
attribute | PN | _FillValue | float | NaN |
attribute | PN | actual_range | float | 0.09, 7.88 |
attribute | PN | bcodmo_name | String | PON |
attribute | PN | description | String | Particulate Nitrogen concentrations measured in filtered samples collected from ship’s undereway system using a semi-automated filtration system. Concentrations have been blank corrected. |
attribute | PN | long_name | String | PN |
attribute | PN | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/ |
attribute | PN | units | String | micromoles N per liter of water (um/L) |
variable | POC | float | ||
attribute | POC | _FillValue | float | NaN |
attribute | POC | actual_range | float | 0.8, 49.25 |
attribute | POC | bcodmo_name | String | POC |
attribute | POC | description | String | Particulate Organic Carbon concentrations measured in filtered samples collected from ship’s undereway system using a semi-automated filtration system. Concentrations have been blank corrected. |
attribute | POC | long_name | String | Particulate Organic Carbon |
attribute | POC | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/ |
attribute | POC | units | String | micromoles C per liter of water (um/L) |
variable | Beam_attenuation | float | ||
attribute | Beam_attenuation | _FillValue | float | NaN |
attribute | Beam_attenuation | actual_range | float | 0.08, 3.84 |
attribute | Beam_attenuation | bcodmo_name | String | beam_cp |
attribute | Beam_attenuation | description | String | Corrected beam attenuation values measured at the time of sample collection by Oceanus Wetlabs C-STAR transmissometer installed inline the ship’s underway system. Corrected values for beam attenuation were determined using the approach described in Goñi et al., submitted, Goñi et al., 2019 and Holser et al., 2011. |
attribute | Beam_attenuation | long_name | String | Beam Attenuation |
attribute | Beam_attenuation | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ATTNZZ01/ |
attribute | Beam_attenuation | units | String | 1/m |
variable | time | double | ||
attribute | time | _CoordinateAxisType | String | Time |
attribute | time | actual_range | double | 1.45351248E9, 1.4845437E9 |
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 |