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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
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set | data | graph | files | public | [14C 32Si Experimental - from RR1813] - 32Si and 14C production data (experimental) from EXPORTS cruise RR1813 on R/V Roger Revelle in the Subarctic North Pacific near Station PAPA from August to September 2018 (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump) | F I M | background | BCO-DMO | bcodmo_dataset_786013 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt |
attribute | NC_GLOBAL | acquisition_description | String | Seawater samples were collected using an epoxy coated CTD-rosette mounted with Go-Flo samplers and a Sea-Bird Electronics CTD (SBE9plus). Go-Flo bottles were transferred to a trace metal clean van for subsampling into polypropylene tubes (nutrients), polypropylene bottle (biogenic silica and particulate carbon and nitrogen) or TM acid-cleaned polycarbonate incubation bottles (Si-32 & C-14 incubation experiments). Nutrient samples were filtered through 0.2 \u03bcm polycarbonate filters and frozen at -20\u00b0C. Samples for biogenic silica concentrations were size fractionated by serial filtration through 5 \u03bcm and 0.6 \u03bcm polycarbonate filters. Filters were stored frozen at -20\u00b0C. Particulate organic carbon and nitrogen were measured on samples from experiments examining the effect of added Fe and Si on carbon fixation. These samples were filtered through precombusted GFF filters placed in glass scintillation vials and frozen at -20\u00b0C. Samples for silicic acid uptake profiles were spiked with the radioisotope Si-32. Nutrient limitation assays were performed on pairs of samples where rate of silicic acid uptake (Si-32) or carbon fixation (C-14 in paired light/dark bottles) were determined in unaltered controlled samples and in samples augmented with either silicic acid (20 \u03bcM) or iron chloride (1 nM). All samples were incubated on deck in simulated in situ incubators cooled with flowing surface seawater from 24 h. Profiles samples six depths from near surface to the 1% light level. Nutrient limitation assays were performed at the 40% and 10% light levels. Particles from incubated samples were size fractionated by serial filtration through 5 \u03bcm and 0.6 \u03bcm 25 mm polycarbonate filters. For C-14 incubations, total radioactivity in each sample was determined by sampling 100 \u03bcl of sample seawater prior to filtration. Filters from Si-32 incubations were placed on plastic planchettes and dried before covering with mylar film and stored or analysis ashore using low level beta counters (Riso Inc). Filters from C-14 incubations were acidified in glass scintillation vials, scintillation cocktail (Ultima Gold XR) added followed by liquid scintillation counting. Total radioactivity samples received 100 \u03bcL of b-phenethylamine and 5 mL of scintillation cocktail prior to analysis at sea using a Beckman 8500 scintillation counter. For more information, see the Protocol documents (under Supplemental Files). |
attribute | NC_GLOBAL | awards_0_award_nid | String | 757394 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1756442 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1756442 |
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 | David L. Garrison |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | 14C 32Si Experiments EXPORTS PI: Mark Brzezinksi (UCSB) Co-PIs: Kristen Buck (USF) & Bethany Jenkins (URI) Contact: Janice Jones (UCSB) Version date: 2020-Jan-06 |
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 | date_created | String | 2020-01-06T18:15:25Z |
attribute | NC_GLOBAL | date_modified | String | 2020-02-06T20:16:22Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.786013.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -144.691 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 50.5828 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 50.1496 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -144.691 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -145.1413 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 34.0 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 8.0 |
attribute | NC_GLOBAL | geospatial_vertical_positive | String | down |
attribute | NC_GLOBAL | geospatial_vertical_units | String | m |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/786013 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | GO-FLO |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 789448 |
attribute | NC_GLOBAL | instruments_0_description | String | GO-FLO bottle cast used to collect water samples for pigment, nutrient, plankton, etc. The GO-FLO sampling bottle is specially designed to avoid sample contamination at the surface, internal spring contamination, loss of sample on deck (internal seals), and exchange of water from different depths. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/30/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | GO-FLO Bottle |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 411 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Go-Flo samplers |
attribute | NC_GLOBAL | instruments_1_acronym | String | CTD SBE 9 |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 789446 |
attribute | NC_GLOBAL | instruments_1_description | String | The Sea-Bird SBE 9 is a type of CTD instrument package. The SBE 9 is the Underwater Unit and is most often combined with the SBE 11 Deck Unit (for real-time readout using conductive wire) when deployed from a research vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911. The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorometer, altimeter, etc.). Note that in most cases, it is more accurate to specify SBE 911 than SBE 9 since it is likely a SBE 11 deck unit was used. more information from Sea-Bird Electronics |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/130/ |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | CTD Sea-Bird 9 |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 488 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | Sea-Bird Electronics CTD (SBE9plus) |
attribute | NC_GLOBAL | instruments_2_acronym | String | Light-Dark Bottle |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 789450 |
attribute | NC_GLOBAL | instruments_2_description | String | The light/dark bottle is a way of measuring primary production by comparing before and after concentrations of dissolved oxygen. Bottles containing seawater samples with phytoplankton are incubated for a predetermined period of time under light and dark conditions. Incubation is preferably carried out in situ, at the depth from which the samples were collected. Alternatively, the light and dark bottles are incubated in a water trough on deck, and neutral density filters are used to approximate the light conditions at the collection depth.Rates of net and gross photosynthesis and respiration can be determined from measurements of dissolved oxygen concentration in the sample bottles. |
attribute | NC_GLOBAL | instruments_2_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/82/ |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Light-Dark Bottle |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 498 |
attribute | NC_GLOBAL | instruments_3_acronym | String | FIA |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_nid | String | 789452 |
attribute | NC_GLOBAL | instruments_3_description | String | An instrument that performs flow injection analysis. Flow injection analysis (FIA) is an approach to chemical analysis that is accomplished by injecting a plug of sample into a flowing carrier stream. FIA is an automated method in which a sample is injected into a continuous flow of a carrier solution that mixes with other continuously flowing solutions before reaching a detector. Precision is dramatically increased when FIA is used instead of manual injections and as a result very specific FIA systems have been developed for a wide array of analytical techniques. |
attribute | NC_GLOBAL | instruments_3_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB36/ |
attribute | NC_GLOBAL | instruments_3_instrument_name | String | Flow Injection Analyzer |
attribute | NC_GLOBAL | instruments_3_instrument_nid | String | 657 |
attribute | NC_GLOBAL | instruments_3_supplied_name | String | Lachat Instruments QuikChem 8500 Series 2 anayzer |
attribute | NC_GLOBAL | keywords | String | 24hr, 5umfilt, 5umprefilt, 6umfilt, activity, bco, bco-dmo, biological, bottle, bsi, BSi_0_6umfilt_5umprefilt, BSi_5umfilt, carbon, cast, chemical, chemistry, concentration, cruise, data, dataset, date, Date_Zulu, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, erddap, event, Event_num, flag, iso, latitude, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, mole, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_nitrite_in_sea_water, n02, nitrate, nitrite, no2, NO2_flag, NO2_NO3, NO2_NO3_flag, no3, num, ocean, oceanography, oceans, office, organic, particulate, pcnt, pcnt_lo, phosphate, po4, PO4_flag, poc, POC_flag, pon, PON_flag, preliminary, rate, rate_14C_uptake_24hr_0_6umfilt_5umprefilt, rate_14C_uptake_24hr_5umfilt, rate_32Si_uptake_24hr_0_6umfilt_5umprefilt, rate_32Si_uptake_24hr_5umfilt, rate_32Si_uptake_specific_24hr_0_6umfilt_5umprefilt, rate_32Si_uptake_specific_24hr_5umfilt, rosette, Rosette_Bottle, science, sea, seawater, SiO4, SiO4_flag, specific, station, target, Target_Depth, time, Time_Zulu, trmt, uptake, water, zulu |
attribute | NC_GLOBAL | keywords_vocabulary | String | GCMD Science Keywords |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/786013/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/786013 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 50.5828 |
attribute | NC_GLOBAL | param_mapping | String | {'786013': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'master - time', 'Target_Depth': 'flag - depth'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/786013/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | University of California-Santa Barbara |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | UCSB-MSI |
attribute | NC_GLOBAL | people_0_person_name | String | Mark A. Brzezinski |
attribute | NC_GLOBAL | people_0_person_nid | String | 50663 |
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 South Florida |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | USF |
attribute | NC_GLOBAL | people_1_person_name | String | Kristen N. Buck |
attribute | NC_GLOBAL | people_1_person_nid | String | 51624 |
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 | University of Rhode Island |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | URI |
attribute | NC_GLOBAL | people_2_person_name | String | Bethany D. Jenkins |
attribute | NC_GLOBAL | people_2_person_nid | String | 558172 |
attribute | NC_GLOBAL | people_2_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_2_role_type | String | originator |
attribute | NC_GLOBAL | people_3_affiliation | String | University of California-Santa Barbara |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | UCSB |
attribute | NC_GLOBAL | people_3_person_name | String | Janice L. Jones |
attribute | NC_GLOBAL | people_3_person_nid | String | 51661 |
attribute | NC_GLOBAL | people_3_role | String | Contact |
attribute | NC_GLOBAL | people_3_role_type | String | related |
attribute | NC_GLOBAL | people_4_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_4_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_4_person_name | String | Shannon Rauch |
attribute | NC_GLOBAL | people_4_person_nid | String | 51498 |
attribute | NC_GLOBAL | people_4_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_4_role_type | String | related |
attribute | NC_GLOBAL | project | String | Diatoms and carbon export |
attribute | NC_GLOBAL | projects_0_acronym | String | Diatoms and carbon export |
attribute | NC_GLOBAL | projects_0_description | String | NSF Award Abstract: This project focuses on a group of microscopic single-celled photosynthetic organisms in the ocean called diatoms. Diatoms float in the surface ocean as part of a group of organisms collectively called phytoplankton. There are thousands of different species of diatoms distributed across the global ocean. A famous oceanographer Henry Bigelow once said "All fish is diatoms" reflecting the importance of diatoms as the base of the food chain that supports the world's largest fisheries. Despite their small size, diatom photosynthesis produces 20% of the oxygen on earth each year. That's more than all of the tropical rain forests on land. The major objective of the research is to understand how the metabolic differences among diatom species affects the amount of diatom organic carbon that is carried, or exported, from the surface ocean to the deep ocean. As diatoms are photo-synthesizers like green plants, their biological carbon comes from converting carbon dioxide dissolved in seawater from the atmosphere into organic forms. Diatoms also require a series of other nurtrients supplied by the ocean such as nitrogen and phosphorous and, uniquely for diatoms, the silicon used to construct their glass shells. This research will investigate how genetic and physiological differences among diatoms influence how each species react to changes in nutrient levels in the ocean and how those shifts affect the export of diatom carbon to the deep sea. The link between diatoms' physiological response and their carbon export comes about because shifts in physiology affect diatom attributes like how fast they sink and how tasty they are to predators. So if we can relate the physiological condition of different diatoms to the food-web pathways followed by different species, we can ultimately use knowledge of diatom physiological status and food web structure to predict how much diatom carbon gets to the deep sea. The research involves investigators with expertise in the physiology and genomics of diatoms and in the ocean's chemistry. The work will initially take place in the subarctic North Pacific in conjunction with the NASA Export Processes in the Ocean from RemoTe Sensing (EXPORTS) field program. The EXPORTS program is using a wide variety of methods to quantify the export and fate of photo-synthetically fixed carbon in the upper ocean. The research supports the training of undergraduate students, graduate students and a postdoctoral scholar. The research will also serve as the basis for activities aimed at K-12 and junior high school students. The research will broadly impact our understanding of the biology of the biological pump (the transport of photo-synthetically fixed organic carbon to the deep sea) by forming a mechanistic basis for predicting the export of diatom carbon. It is hypothesized that the type and degree of diatom physiological stress are vital aspects of ecosystem state that drive export. To test this hypothesis, the genetic composition, rates of nutrient use and growth response of diatom communities will be evaluated and supported with measurements of silicon and iron stress to evaluate stress as a predictor of the path of diatom carbon export. The subarctic N. Pacific ecosystem is characterized as high nutrient low chlorophyll (HNLC) due to low iron (Fe) levels that are primary controllers constraining phytoplankton utilization of other nutrients. It has been a paradigm in low Fe, HNLC systems that diatoms grow at elevated Si:C and Si:N ratios and should be efficiently exported as particles significantly enriched in Si relative to C. However, Fe limitation also alters diatoms species composition and the high Si demand imposed by low Fe can drive HNLC regions to Si limitation or Si/Fe co-limitation. Thus, the degree of Si and/or Fe stress in HNLC waters can all alter diatom taxonomic composition, the elemental composition of diatom cells, and the path cells follow through the food web ultimately altering diatom carbon export. 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. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2022-02 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Sub-Arctic Pacific, Ocean Station Papa |
attribute | NC_GLOBAL | projects_0_name | String | Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump |
attribute | NC_GLOBAL | projects_0_project_nid | String | 757387 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2018-03 |
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 | 50.1496 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | subsetVariables | String | Cruise,Activity,PO4_flag,SiO4_flag,NO2_NO3_flag,POC_flag,PON_flag |
attribute | NC_GLOBAL | summary | String | This dataset includes 32Si and 14C production data (experimental) from EXPORTS cruise RR1813. The EXPORTS field campaign in the subarctic North Pacific sampled an ecosystem characterized as high nutrient low chlorophyll (HNLC) due to low iron (Fe) levels that are primary controllers constraining phytoplankton utilization of other nutrients. It has been a paradigm in low Fe, HNLC systems that diatoms grow at elevated Si:C and Si:N ratios and should be efficiently exported as particles significantly enriched in Si relative to C. However, Fe limitation also alters diatoms species composition and the high Si demand imposed by low Fe can drive HNLC regions to Si limitation or Si/Fe co-limitation. Thus, the degree of Si and/or Fe stress in HNLC waters can all alter diatom taxonomic composition, the elemental composition of diatom cells, and the path cells follow through the food web ultimately altering diatom carbon export.\r\n\r\nWithin each ecosystem state examined in the EXPORTS program, nutrient biogeochemistry, diatom and phytoplankton community structure, and global diatom gene expression patterns (metatranscriptomics) are characterized in the lit ocean. Nutrient amendment experiments with tracer addition (14C, 32Si) are used to quantify the level of Si and Fe stress being experienced by the phytoplankton and to contextualize taxa-specific metatranscriptome responses for resolving gene expression profiles in the in situ communities. |
attribute | NC_GLOBAL | time_coverage_end | String | 2018-09-07T12:56:55Z |
attribute | NC_GLOBAL | time_coverage_start | String | 2018-08-16T14:00:13Z |
attribute | NC_GLOBAL | title | String | [14C 32Si Experimental - from RR1813] - 32Si and 14C production data (experimental) from EXPORTS cruise RR1813 on R/V Roger Revelle in the Subarctic North Pacific near Station PAPA from August to September 2018 (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -145.1413 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Cruise | String | ||
attribute | Cruise | bcodmo_name | String | cruise_id |
attribute | Cruise | description | String | cruise during which sample was collected |
attribute | Cruise | long_name | String | Cruise |
attribute | Cruise | units | String | unitless |
variable | Date_Zulu | String | ||
attribute | Date_Zulu | bcodmo_name | String | date_utc |
attribute | Date_Zulu | description | String | UTC date; format: yyyy-mm-dd |
attribute | Date_Zulu | long_name | String | Date Zulu |
attribute | Date_Zulu | time_precision | String | 1970-01-01 |
attribute | Date_Zulu | units | String | unitless |
variable | Time_Zulu | String | ||
attribute | Time_Zulu | bcodmo_name | String | time_utc |
attribute | Time_Zulu | description | String | UTC time; format: HH:MM:SS |
attribute | Time_Zulu | long_name | String | Time Zulu |
attribute | Time_Zulu | units | String | unitless |
variable | Event_num | String | ||
attribute | Event_num | bcodmo_name | String | event |
attribute | Event_num | description | String | event number from R2R event log |
attribute | Event_num | long_name | String | Event Num |
attribute | Event_num | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/ |
attribute | Event_num | units | String | unitless |
variable | Activity | String | ||
attribute | Activity | bcodmo_name | String | instrument |
attribute | Activity | description | String | which instrument was used for sample collection |
attribute | Activity | long_name | String | Activity |
attribute | Activity | units | String | unitless |
variable | Station | String | ||
attribute | Station | bcodmo_name | String | station |
attribute | Station | description | String | station identifier |
attribute | Station | long_name | String | Station |
attribute | Station | units | String | unitless |
variable | Cast | String | ||
attribute | Cast | bcodmo_name | String | cast |
attribute | Cast | description | String | cast type (CTD or experiment) and number |
attribute | Cast | long_name | String | Cast |
attribute | Cast | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 50.1496, 50.5828 |
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 in decimal degrees |
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 | -145.1413, -144.691 |
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 in decimal degrees |
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 | Rosette_Bottle | byte | ||
attribute | Rosette_Bottle | _FillValue | byte | 127 |
attribute | Rosette_Bottle | actual_range | byte | 4, 12 |
attribute | Rosette_Bottle | bcodmo_name | String | bottle |
attribute | Rosette_Bottle | description | String | rosette bottle number |
attribute | Rosette_Bottle | long_name | String | Rosette Bottle |
attribute | Rosette_Bottle | units | String | unitless |
variable | depth | double | ||
attribute | depth | _CoordinateAxisType | String | Height |
attribute | depth | _CoordinateZisPositive | String | down |
attribute | depth | _FillValue | double | NaN |
attribute | depth | actual_range | double | 8.0, 34.0 |
attribute | depth | axis | String | Z |
attribute | depth | bcodmo_name | String | depth |
attribute | depth | description | String | target depth for sample collection |
attribute | depth | ioos_category | String | Location |
attribute | depth | long_name | String | Target Depth |
attribute | depth | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ |
attribute | depth | positive | String | down |
attribute | depth | standard_name | String | depth |
attribute | depth | units | String | m |
variable | pcnt_lo | byte | ||
attribute | pcnt_lo | _FillValue | byte | 127 |
attribute | pcnt_lo | actual_range | byte | 10, 40 |
attribute | pcnt_lo | bcodmo_name | String | PAR |
attribute | pcnt_lo | description | String | percent light level (PAR sensor) |
attribute | pcnt_lo | long_name | String | Pcnt Lo |
attribute | pcnt_lo | units | String | unitless (percent) |
variable | TRMT | String | ||
attribute | TRMT | bcodmo_name | String | treatment |
attribute | TRMT | description | String | experimental sample treatment defined as follows: CTRL = no nutrient additions; +Si = addition of 320 uL of 20 mM Na2SiO3 to increase ambient dissolved silicon by 20uM (measured total Fe in 20nM Si stock indicates that increasing dissolved Si by 20uM increases total dissolved Fe by 0.05nM); +Fe = addition of 32uL of 10uM FeCl3 for a total concentration of 1nM; +Si+Fe = addition of both above. |
attribute | TRMT | long_name | String | TRMT |
attribute | TRMT | units | String | unitless |
variable | PO4 | float | ||
attribute | PO4 | _FillValue | float | NaN |
attribute | PO4 | actual_range | float | 0.62, 0.94 |
attribute | PO4 | bcodmo_name | String | PO4 |
attribute | PO4 | description | String | Macronutrients (PO4) - dissolved phosphate concentration in micromoles - analyzed in UCSB MSI Analytical lab |
attribute | PO4 | long_name | String | Mass Concentration Of Phosphate In Sea Water |
attribute | PO4 | units | String | mmol m-3 |
variable | PO4_flag | byte | ||
attribute | PO4_flag | _FillValue | byte | 127 |
attribute | PO4_flag | actual_range | byte | 1, 1 |
attribute | PO4_flag | bcodmo_name | String | q_flag |
attribute | PO4_flag | colorBarMaximum | double | 150.0 |
attribute | PO4_flag | colorBarMinimum | double | 0.0 |
attribute | PO4_flag | description | String | data flag set as 1 (good) 2 (manual badflag) 3 (below detection limit) 9 (missing) as per Norm Nelson and his Seabass submission |
attribute | PO4_flag | long_name | String | PO4 Flag |
attribute | PO4_flag | units | String | unitless |
variable | SiO4 | float | ||
attribute | SiO4 | _FillValue | float | NaN |
attribute | SiO4 | actual_range | float | 8.43, 18.38 |
attribute | SiO4 | bcodmo_name | String | SiOH_4 |
attribute | SiO4 | description | String | Macronutrients (SiO4) - silicic acid concentration in micromoles (also known as dissolved silicon concentration or dSi) |
attribute | SiO4 | long_name | String | Si O4 |
attribute | SiO4 | units | String | mmol m-3 |
variable | SiO4_flag | byte | ||
attribute | SiO4_flag | _FillValue | byte | 127 |
attribute | SiO4_flag | actual_range | byte | 1, 1 |
attribute | SiO4_flag | bcodmo_name | String | q_flag |
attribute | SiO4_flag | colorBarMaximum | double | 150.0 |
attribute | SiO4_flag | colorBarMinimum | double | 0.0 |
attribute | SiO4_flag | description | String | data flag set as 1 (good) 2 (manual badflag) 3 (below detection limit) 9 (missing) as per Norm Nelson and his Seabass submission |
attribute | SiO4_flag | long_name | String | Si O4 Flag |
attribute | SiO4_flag | units | String | unitless |
variable | NO2 | float | ||
attribute | NO2 | _FillValue | float | NaN |
attribute | NO2 | actual_range | float | 0.01, 0.22 |
attribute | NO2 | bcodmo_name | String | NO2 |
attribute | NO2 | colorBarMaximum | double | 1.0 |
attribute | NO2 | colorBarMinimum | double | 0.0 |
attribute | NO2 | description | String | Macronutrients (NO2) - dissolved nitrite concentration in micromoles - analyzed in UCSB MSI Analytical lab |
attribute | NO2 | long_name | String | Mole Concentration Of Nitrite In Sea Water |
attribute | NO2 | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/ |
attribute | NO2 | units | String | mmol m-3 |
variable | NO2_flag | byte | ||
attribute | NO2_flag | _FillValue | byte | 127 |
attribute | NO2_flag | actual_range | byte | 1, 3 |
attribute | NO2_flag | bcodmo_name | String | q_flag |
attribute | NO2_flag | colorBarMaximum | double | 150.0 |
attribute | NO2_flag | colorBarMinimum | double | 0.0 |
attribute | NO2_flag | description | String | data flag set as 1 (good) 2 (manual badflag) 3 (below detection limit) 9 (missing) as per Norm Nelson and his Seabass submission |
attribute | NO2_flag | long_name | String | NO2 Flag |
attribute | NO2_flag | units | String | unitless |
variable | NO2_NO3 | float | ||
attribute | NO2_NO3 | _FillValue | float | NaN |
attribute | NO2_NO3 | actual_range | float | 5.85, 9.61 |
attribute | NO2_NO3 | bcodmo_name | String | NO3_NO2 |
attribute | NO2_NO3 | colorBarMaximum | double | 50.0 |
attribute | NO2_NO3 | colorBarMinimum | double | 0.0 |
attribute | NO2_NO3 | description | String | dissolved nitrate+nitrite concentration in micromoles - analyzed in UCSB MSI Analytical lab |
attribute | NO2_NO3 | long_name | String | Mole Concentration Of Nitrate In Sea Water |
attribute | NO2_NO3 | units | String | mmol m-3 |
variable | NO2_NO3_flag | byte | ||
attribute | NO2_NO3_flag | _FillValue | byte | 127 |
attribute | NO2_NO3_flag | actual_range | byte | 1, 1 |
attribute | NO2_NO3_flag | bcodmo_name | String | q_flag |
attribute | NO2_NO3_flag | colorBarMaximum | double | 150.0 |
attribute | NO2_NO3_flag | colorBarMinimum | double | 0.0 |
attribute | NO2_NO3_flag | description | String | data flag set as 1 (good) 2 (manual badflag) 3 (below detection limit) 9 (missing) as per Norm Nelson and his Seabass submission |
attribute | NO2_NO3_flag | long_name | String | NO2 NO3 Flag |
attribute | NO2_NO3_flag | units | String | unitless |
variable | POC | float | ||
attribute | POC | _FillValue | float | NaN |
attribute | POC | actual_range | float | 40.84, 78.48 |
attribute | POC | bcodmo_name | String | POC |
attribute | POC | description | String | Macronutrients (POC) - particulate organic carbon in micromoles - analyzed in UCSB MSI Analytical lab |
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 | mg m-3 |
variable | POC_flag | byte | ||
attribute | POC_flag | _FillValue | byte | 127 |
attribute | POC_flag | actual_range | byte | 1, 1 |
attribute | POC_flag | bcodmo_name | String | q_flag |
attribute | POC_flag | colorBarMaximum | double | 150.0 |
attribute | POC_flag | colorBarMinimum | double | 0.0 |
attribute | POC_flag | description | String | data flag set as 1 (good) 2 (manual badflag) 3 (below detection limit) 9 (missing) as per Norm Nelson and his Seabass submission |
attribute | POC_flag | long_name | String | POC Flag |
attribute | POC_flag | units | String | unitless |
variable | PON | float | ||
attribute | PON | _FillValue | float | NaN |
attribute | PON | actual_range | float | 5.42, 16.53 |
attribute | PON | bcodmo_name | String | PON |
attribute | PON | description | String | Macronutrients (PON) - particulate organic nitrogen in micromoles - analyzed in UCSB MSI Analytical lab |
attribute | PON | long_name | String | PON |
attribute | PON | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/ |
attribute | PON | units | String | mg m-3 |
variable | PON_flag | byte | ||
attribute | PON_flag | _FillValue | byte | 127 |
attribute | PON_flag | actual_range | byte | 1, 1 |
attribute | PON_flag | bcodmo_name | String | q_flag |
attribute | PON_flag | colorBarMaximum | double | 150.0 |
attribute | PON_flag | colorBarMinimum | double | 0.0 |
attribute | PON_flag | description | String | data flag set as 1 (good) 2 (manual badflag) 3 (below detection limit) 9 (missing) as per Norm Nelson and his Seabass submission |
attribute | PON_flag | long_name | String | PON Flag |
attribute | PON_flag | units | String | unitless |
variable | BSi_0_6umfilt_5umprefilt | float | ||
attribute | BSi_0_6umfilt_5umprefilt | _FillValue | float | NaN |
attribute | BSi_0_6umfilt_5umprefilt | actual_range | float | 9.13, 126.73 |
attribute | BSi_0_6umfilt_5umprefilt | bcodmo_name | String | Si_bio |
attribute | BSi_0_6umfilt_5umprefilt | description | String | particulate biogenic silica in nanomoles Si per litre - 0.6-5um fraction |
attribute | BSi_0_6umfilt_5umprefilt | long_name | String | BSi 0 6umfilt 5umprefilt |
attribute | BSi_0_6umfilt_5umprefilt | units | String | umol m-3 |
variable | BSi_5umfilt | float | ||
attribute | BSi_5umfilt | _FillValue | float | NaN |
attribute | BSi_5umfilt | actual_range | float | 6.72, 157.13 |
attribute | BSi_5umfilt | bcodmo_name | String | Si_bio |
attribute | BSi_5umfilt | description | String | particulate biogenic silica in nanomoles Si per litre - >5um fraction |
attribute | BSi_5umfilt | long_name | String | BSi 5umfilt |
attribute | BSi_5umfilt | units | String | umol m-3 |
variable | rate_32Si_uptake_24hr_0_6umfilt_5umprefilt | float | ||
attribute | rate_32Si_uptake_24hr_0_6umfilt_5umprefilt | _FillValue | float | NaN |
attribute | rate_32Si_uptake_24hr_0_6umfilt_5umprefilt | actual_range | float | 0.29, 26.74 |
attribute | rate_32Si_uptake_24hr_0_6umfilt_5umprefilt | bcodmo_name | String | Si_acid |
attribute | rate_32Si_uptake_24hr_0_6umfilt_5umprefilt | description | String | size fractionated silicic acid 32Si uptake 0.6-5um fraction |
attribute | rate_32Si_uptake_24hr_0_6umfilt_5umprefilt | long_name | String | Rate 32 Si Uptake 24hr 0 6umfilt 5umprefilt |
attribute | rate_32Si_uptake_24hr_0_6umfilt_5umprefilt | units | String | nmol Si L-1 d-1 |
variable | rate_32Si_uptake_specific_24hr_0_6umfilt_5umprefilt | float | ||
attribute | rate_32Si_uptake_specific_24hr_0_6umfilt_5umprefilt | _FillValue | float | NaN |
attribute | rate_32Si_uptake_specific_24hr_0_6umfilt_5umprefilt | actual_range | float | 0.008, 0.756 |
attribute | rate_32Si_uptake_specific_24hr_0_6umfilt_5umprefilt | bcodmo_name | String | Si_acid |
attribute | rate_32Si_uptake_specific_24hr_0_6umfilt_5umprefilt | description | String | size fractionated specific silicic acid 32Si uptake 0.6-5um fraction |
attribute | rate_32Si_uptake_specific_24hr_0_6umfilt_5umprefilt | long_name | String | Rate 32 Si Uptake Specific 24hr 0 6umfilt 5umprefilt |
attribute | rate_32Si_uptake_specific_24hr_0_6umfilt_5umprefilt | units | String | d-1 |
variable | rate_32Si_uptake_24hr_5umfilt | float | ||
attribute | rate_32Si_uptake_24hr_5umfilt | _FillValue | float | NaN |
attribute | rate_32Si_uptake_24hr_5umfilt | actual_range | float | 0.49, 23.83 |
attribute | rate_32Si_uptake_24hr_5umfilt | bcodmo_name | String | Si_acid |
attribute | rate_32Si_uptake_24hr_5umfilt | description | String | size fractionated silicic acid 32Si uptake >5um fraction |
attribute | rate_32Si_uptake_24hr_5umfilt | long_name | String | Rate 32 Si Uptake 24hr 5umfilt |
attribute | rate_32Si_uptake_24hr_5umfilt | units | String | nmol Si L-1 d-1 |
variable | rate_32Si_uptake_specific_24hr_5umfilt | float | ||
attribute | rate_32Si_uptake_specific_24hr_5umfilt | _FillValue | float | NaN |
attribute | rate_32Si_uptake_specific_24hr_5umfilt | actual_range | float | 0.004, 1.355 |
attribute | rate_32Si_uptake_specific_24hr_5umfilt | bcodmo_name | String | Si_acid |
attribute | rate_32Si_uptake_specific_24hr_5umfilt | description | String | size fractionated specific silicic acid 32Si uptake >5um fraction |
attribute | rate_32Si_uptake_specific_24hr_5umfilt | long_name | String | Rate 32 Si Uptake Specific 24hr 5umfilt |
attribute | rate_32Si_uptake_specific_24hr_5umfilt | units | String | d-1 |
variable | rate_14C_uptake_24hr_0_6umfilt_5umprefilt | float | ||
attribute | rate_14C_uptake_24hr_0_6umfilt_5umprefilt | _FillValue | float | NaN |
attribute | rate_14C_uptake_24hr_0_6umfilt_5umprefilt | actual_range | float | 0.009, 0.42 |
attribute | rate_14C_uptake_24hr_0_6umfilt_5umprefilt | bcodmo_name | String | Primary Production |
attribute | rate_14C_uptake_24hr_0_6umfilt_5umprefilt | description | String | size fractionated primary production 14C uptake 0.6-5um fraction |
attribute | rate_14C_uptake_24hr_0_6umfilt_5umprefilt | long_name | String | Rate 14 C Uptake 24hr 0 6umfilt 5umprefilt |
attribute | rate_14C_uptake_24hr_0_6umfilt_5umprefilt | units | String | umol C L-1 d-1 |
variable | rate_14C_uptake_24hr_5umfilt | float | ||
attribute | rate_14C_uptake_24hr_5umfilt | _FillValue | float | NaN |
attribute | rate_14C_uptake_24hr_5umfilt | actual_range | float | 0.012, 0.323 |
attribute | rate_14C_uptake_24hr_5umfilt | bcodmo_name | String | Primary Production |
attribute | rate_14C_uptake_24hr_5umfilt | description | String | size fractionated primary production 14C uptake >5um fraction |
attribute | rate_14C_uptake_24hr_5umfilt | long_name | String | Rate 14 C Uptake 24hr 5umfilt |
attribute | rate_14C_uptake_24hr_5umfilt | units | String | umol C L-1 d-1 |
variable | time | double | ||
attribute | time | _CoordinateAxisType | String | Time |
attribute | time | actual_range | double | 1.534428013E9, 1.536325015E9 |
attribute | time | axis | String | T |
attribute | time | bcodmo_name | String | ISO_DateTime_UTC |
attribute | time | description | String | Date and time foramtted to ISO8601 standard; format: yyyy-mm-ddTHH:MM:SS |
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 | source_name | String | ISO_DateTime_UTC |
attribute | time | standard_name | String | time |
attribute | time | time_origin | String | 01-JAN-1970 00:00:00 |
attribute | time | time_precision | String | 1970-01-01T00:00:00Z |
attribute | time | units | String | seconds since 1970-01-01T00:00:00Z |
The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.