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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 |
attribute | NC_GLOBAL | acquisition_description | String | Methods: \n Two experiments, one with Thalassiosira weissflogii and one with\nDacyliosolen fragilissimus were conducted. Replicates of each treatment (2\ntemperatures by 2 pCO2 conditions) were grown in eight 20 L gas-tight\npolyethylene bags. T. weissflogii and D. fragilissimus, respectively, were\ngrown in artificial and natural seawater based, modified f/2 media. Initial\nnitrate addition was 15 \\u00b5mol L-1 NO3 for both species, and 6 and 8\n\\u00b5mol L-1 PO4, and 16 and 50 \\u00b5mol L-1 SiO3 for T. weissflogii and D.\nfragilissimus, respectively. Trace metals and vitamins were added according to\nf/8.\\u00a0 Cultures were grown under a light / dark cycle of 14/10 hours at\n~90 \\u2013 100 \\u00b5E m-2 s-1 at 15 \\u00b0C and 20 \\u00b0C. Partial pressure\nlevels of CO2 were set without bubbling to 400 and 1000 \\u00b5atm for both\ntemperatures; by appropriate addition of HCO3 and HCl.\n \nPrior to the experiments the diatoms were acclimatized to the respective\ntarget conditions growing semi-continuously in gas-tight polycarbonate bottles\nfor at least a week. At the onset of the experiment bags were inoculated with\n~1000 cells ml-1 for T. weissflogii and ~500 cells ml-1 for the larger D.\nfragilissimus. Daily sampling conducted immediately after the end of each\nlight cycle, was continued for at least 6 days after NO3 depletion.\n \nFor the determination of particulate organic carbon and nitrogen (POC and\nPON), samples were filtered onto precombusted (5 hours at 450 \\u00b0C)\nglassfibre filters (Whatman, GF/F, 0.7 \\u00b5m nominal poresize), dried at ~60\n\\u00b0C for 24 hours and analyzed on a CHN organic elemental analyzer (Control\nEquipment Corp., CEC 440HA). Samples for dissolved inorganic nitrate, nitrite,\nphosphate and silicate were filtered through 0.2 \\u00b5m filters and measured\non a flow injection analyzer (Lachat Instruments Div., QuikChem 8000). Samples\nfor dissolved organic carbon (DOC) were gravity-filtered through precombusted\nGF/F filters, with the filtrate being collecting collected in acid-washed\n(HCl, 10%) and precombusted glass vials and frozen (at -20 \\u00b0C). The\nanalysis was carried out via high temperature combustion on a modified\nShimadzu TOC-V analyzers. Dissolved inorganic carbon (DIC) was measured on a\nnon-dispersive infrared (NDIR) analyzer. Samples were filtered through\nglassfibre filters (GF/F) and stored in gas-tight ~400 ml borosilicate bottles\nuntil analysis.\n \npH (total scale) was measured spetrophotometrically at 25\\u00baC (Thermo\nScientific Genesys 105 VIS Spetrophotometer with a SPG 1A air-cooled single\ncell Peltier element), using m-cresol as an indicator dye. The dye was\ncalibrated against certified reference material (A. Dickson, La Jolla,\nCalifornia). Samples for transparent exopolymer particles (TEP) were filtered\nonto 0.4 \\u00b5m polycarbonate filters (Poretics) and subsequently stained\nwith Alcian Blue following the procedure of Passow and Alldredge (1995). |
attribute | NC_GLOBAL | awards_0_award_nid | String | 55209 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1041038 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward?AWD_ID=1041038&HistoricalAwards=false |
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 | Donald L. Rice |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 51467 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | OA_Effects_of_HighCO2 \n Version: 19 September 2013 \n PIs: Passow, Carlson, Brzezinski \n Data Set #1A: Partitioning of carbon as a function of pCO2 and temperature during growth of Thalassiosira weissflogii \n \n \n Data Set #1A: Partitioning of carbon as a function of pCO2 and temperature during growth of Thalassiosira weissflogii |
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 | 2013-09-20T18:59:23Z |
attribute | NC_GLOBAL | date_modified | String | 2019-09-04T00:55:26Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.4046.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -119.842 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 34.4126 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 34.4126 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -119.842 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -119.842 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/4046 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | LI-COR LI-840 |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Dissolved inorganic carbon (DIC) was measured on a non-dispersive infrared (NDIR) analyzer. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 6316 |
attribute | NC_GLOBAL | instruments_0_description | String | The LI-COR LI-840 is specifically designed for continuous monitoring of CO2 and H2O over a wide range of environmental conditions. The LI-840 is an absolute, non-dispersive, infrared (NDIR) gas analyzer based on a single, interchangeable optical path, and a dual wavelength infrared detection system. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/382/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | LI-COR LI-840 NDIR Gas Analyzer |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 566 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | NDIR Gas Analyzer |
attribute | NC_GLOBAL | instruments_1_acronym | String | Shimadzu TOC-V |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | Samples for dissolved organic carbon (DOC) were gravity-filtered through precombusted GF/F filters, with the filtrate being collecting collected in acid-washed (HCl, 10%) and precombusted glass vials and frozen (at -20 °C). The analysis was carried out via high temperature combustion on a modified Shimadzu TOC-V analyzers. |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 6315 |
attribute | NC_GLOBAL | instruments_1_description | String | A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method. |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | http://onto.nerc.ac.uk/CAST/124 |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Shimadzu TOC-V Analyzer |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 603 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | Shimadzu TOC-V Analyzer |
attribute | NC_GLOBAL | instruments_2_acronym | String | CHN_EA |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_description | String | For the determination of particulate organic carbon and nitrogen (POC and PON), samples were filtered onto precombusted (5 hours at 450 °C) glassfibre filters (Whatman, GF/F, 0.7 µm nominal poresize), dried at ~60 °C for 24 hours and analyzed on a CHN organic elemental analyzer (Control Equipment Corp., CEC 440HA) |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 6313 |
attribute | NC_GLOBAL | instruments_2_description | String | A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples. |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | CHN Elemental Analyzer |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 625 |
attribute | NC_GLOBAL | instruments_2_supplied_name | String | Control Equipment Corp., CEC 440HA |
attribute | NC_GLOBAL | instruments_3_acronym | String | FIA |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_description | String | Samples for dissolved inorganic nitrate, nitrite, phosphate and silicate were filtered through 0.2 µm filters and measured on a flow injection analyzer (Lachat Instruments Div., QuikChem 8000). |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_nid | String | 6314 |
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 Div., QuikChem 8000 |
attribute | NC_GLOBAL | instruments_4_acronym | String | pH Sensor |
attribute | NC_GLOBAL | instruments_4_dataset_instrument_description | String | pH (total scale) was measured spetrophotometrically at 25ºC (Thermo Scientific Genesys 105 VIS Spetrophotometer with a SPG 1A air-cooled single cell Peltier element), using m-cresol as an indicator dye. |
attribute | NC_GLOBAL | instruments_4_dataset_instrument_nid | String | 6317 |
attribute | NC_GLOBAL | instruments_4_description | String | General term for an instrument that measures the pH or how acidic or basic a solution is. |
attribute | NC_GLOBAL | instruments_4_instrument_name | String | pH Sensor |
attribute | NC_GLOBAL | instruments_4_instrument_nid | String | 674 |
attribute | NC_GLOBAL | instruments_4_supplied_name | String | Thermo Scientific Genesys 105 VIS Spetrophotometer with a SPG 1A air-cooled single cell Peltier element |
attribute | NC_GLOBAL | keywords | String | bacteria, bacteria_production, bco, bco-dmo, biological, carbon, carbon dioxide, chemical, chemistry, co2, commerce, concentration, data, dataset, department, dic, dioxide, dmo, doc, don, earth, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Ocean Chemistry > Silicate, erddap, fluorescence, lab, Lab_Id, latitude, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, mass_concentration_of_silicate_in_sea_water, mole, mole_concentration_of_nitrate_in_sea_water, n02, nitrate, no3, ocean, oceanography, oceans, office, organic, particulate, pCO2, pH_at_25C, phosphate, po4, POC, pon, preliminary, production, replicate, sampling, science, sea, seawater, silicate, Temp, temperature, tep, water |
attribute | NC_GLOBAL | keywords_vocabulary | String | GCMD Science Keywords |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/4046/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/4046 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 34.4126 |
attribute | NC_GLOBAL | param_mapping | String | {'4046': {'Lat': 'flag - latitude', 'Lon': 'flag - longitude'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/4046/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 | Dr Uta Passow |
attribute | NC_GLOBAL | people_0_person_nid | String | 51317 |
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 California-Santa Barbara |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | UCSB-MSI |
attribute | NC_GLOBAL | people_1_person_name | String | Mark A. Brzezinski |
attribute | NC_GLOBAL | people_1_person_nid | String | 50663 |
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 California-Santa Barbara |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | UCSB-MSI |
attribute | NC_GLOBAL | people_2_person_name | String | Craig Carlson |
attribute | NC_GLOBAL | people_2_person_nid | String | 50575 |
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-MSI |
attribute | NC_GLOBAL | people_3_person_name | String | Mr Jan Taucher |
attribute | NC_GLOBAL | people_3_person_nid | String | 51732 |
attribute | NC_GLOBAL | people_3_role | String | Student |
attribute | NC_GLOBAL | people_3_role_type | String | related |
attribute | NC_GLOBAL | people_4_affiliation | String | University of California-Santa Barbara |
attribute | NC_GLOBAL | people_4_affiliation_acronym | String | UCSB-MSI |
attribute | NC_GLOBAL | people_4_person_name | String | Dr Uta Passow |
attribute | NC_GLOBAL | people_4_person_nid | String | 51317 |
attribute | NC_GLOBAL | people_4_role | String | Contact |
attribute | NC_GLOBAL | people_4_role_type | String | related |
attribute | NC_GLOBAL | people_5_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_5_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_5_person_name | String | Stephen R. Gegg |
attribute | NC_GLOBAL | people_5_person_nid | String | 50910 |
attribute | NC_GLOBAL | people_5_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_5_role_type | String | related |
attribute | NC_GLOBAL | project | String | OA - Effects of High CO2 |
attribute | NC_GLOBAL | projects_0_acronym | String | OA - Effects of High CO2 |
attribute | NC_GLOBAL | projects_0_description | String | From the NSF Award Abstract\nCoastal waters are already experiencing episodic exposure to carbonate conditions that were not expected until the end of the century making understanding the response to these episodic events as important as understanding the long-term mean response. Among the most striking examples are those associated with coastal upwelling along the west coast of the US, where the pH of surface waters may drop to 7.6 and pCO2 can reach 1100 uatm. Upwelling systems are responsible for a significant fraction of global carbon export making them prime targets for investigations on how ocean acidification is already affecting the biological pump today.\nIn this study, researchers at the University of California at Santa Barbara will investigate the potential effects of ocean acidification on the strength of the biological pump under the transient increases in CO2 experienced due to upwelling. Increases in CO2 are expected to alter the path and processing of carbon through marine food webs thereby strengthening the biological pump. Increases in inorganic carbon without proportional increases in nutrients result in carbon over-consumption by phytoplankton. How carbon over-consumption affects the strength of the biological pump will depend on the fate of the extra carbon that is either incorporated into phytoplankton cells forming particulate organic matter (POM), or is excreted as dissolved organic matter (DOM). Results from mesocosm experiments demonstrate that the mechanisms controlling the partitioning of fixed carbon between the particulate and dissolved phases, and the processing of those materials, are obscured when both processes operate simultaneously under natural or semi-natural conditions. Here, POM and DOM production and the heterotrophic processing of these materials will be separated experimentally across a range of CO2 concentrations by conducting basic laboratory culture experiments. In this way the mechanisms whereby elevated CO2 alters the flow of carbon along these paths can be elucidated and better understood for use in mechanistic forecasting models.\nBroader Impacts- The need to understand the effects of ocean acidification for the future of society is clear. In addition to research education, both formal and informal, will be important for informing the public. Within this project 1-2 graduate students and 2-3 minority students will be recruited as interns from the CAMP program (California Alliance for Minority Participation). Within the 'Ocean to Classrooms' program run by outreach personnel from UCSB's Marine Science Institute an educational unit for K-12 students will be developed. Advice and support is also given to the Education Coordinator of NOAA, Channel Islands National Marine Sanctuary for the development of an education unit on ocean acidification.\n\nPUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH\nArnosti C, Grossart H-P, Muehling M, Joint I, Passow U. \"Dynamics of extracellular enzyme activities in seawater under changed atmsopheric pCO2: A mesocosm investigation.,\" Aquatic Microbial Ecology, v.64, 2011, p. 285.\nPassow U. \"The Abiotic Formation of TEP under Ocean Acidification Scenarios.,\" Marine Chemistry, v.128-129, 2011, p. 72.\nPassow, Uta; Carlson, Craig A.. \"The biological pump in a high CO2 world,\" MARINE ECOLOGY PROGRESS SERIES, v.470, 2012, p. 249-271.\nGaerdes, Astrid; Ramaye, Yannic; Grossart, Hans-Peter; Passow, Uta; Ullrich, Matthias S.. \"Effects of Marinobacter adhaerens HP15 on polymer exudation by Thalassiosira weissflogii at different N:P ratios,\" MARINE ECOLOGY PROGRESS SERIES, v.461, 2012, p. 1-14.\nPhilip Boyd, Tatiana Rynearson, Evelyn Armstrong, Feixue Fu, Kendra Hayashi, Zhangi Hu, David Hutchins, Raphe Kudela, Elena Litchman, Margaret Mulholland, Uta Passow, Robert Strzepek, Kerry Whittaker, Elizabeth Yu, Mridul Thomas. \"Marine Phytoplankton Temperature versus Growth Responses from Polar to Tropical Waters - Outcome of a Scientific Community-Wide Study,\" PLOS One 8, v.8, 2013, p. e63091.\nArnosti, C., B. M. Fuchs, R. Amann, and U. Passow. \"Contrasting extracellular enzyme activities of particle-associated bacteria from distinct provinces of the North Atlantic Ocean,\" Frontiers in Microbiology, v.3, 2012, p. 1.\nKoch, B.P., Kattner, G., Witt, M., Passow, U., 2014. Molecular insights into the microbial formation of marine dissolved organic matter: recalcitrant or labile? Biogeosciences Discuss. 11 (2), 3065-3111.\nTaucher, J., Brzezinski, M., Carlson, C., James, A., Jones, J., Passow, U., Riebesell, U., submitted. Effects of warming and elevated pCO2 on carbon uptake and partitioning of the marine diatoms Thalassiosira weissflogii and Dactyliosolen fragilissimus. Limnology and Oceanography |
attribute | NC_GLOBAL | projects_0_end_date | String | 2014-09 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Passow Lab, Marine Science Institute, University of California Santa Barbara |
attribute | NC_GLOBAL | projects_0_name | String | Will high CO2 conditions affect production, partitioning and fate of organic matter? |
attribute | NC_GLOBAL | projects_0_project_nid | String | 2284 |
attribute | NC_GLOBAL | projects_0_project_website | String | http://www.msi.ucsb.edu/people/research-scientists/uta-passow |
attribute | NC_GLOBAL | projects_0_start_date | String | 2010-10 |
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 | 34.4126 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | subsetVariables | String | Lab_Id,latitude,longitude |
attribute | NC_GLOBAL | summary | String | Experiments with the diatom Thalassiosira weissflogii (CCMP 1336) on the impact of temperature and carbonate chemistry on carbon uptake and partitioning into particulate and dissolved organic matter.\\r\\n\\r\\nExperiments were conducted in March and May 2013 in Santa Barbara California, in the Passow lab.\\r\\nTreatments: multifactorial analysis with 2 temperature treatments (15C, 20C) and two ocean acidification treatments (400 and 1000 micro-atm).\\r\\n\\r\\nDaily sampling after the light cycle (14/10) was completed. |
attribute | NC_GLOBAL | title | String | [Data Set 1A: Partitioning of carbon as a function of pCO2 and temperature during growth of Thalassiosira weissflogii] - 1A: Partitioning of carbon as a function of pCO2 and temperature during growth of Thalassiosira weissflogii from UCSB Marine Science Institute Passow Lab from 2009 to 2010 (OA - Effects of High CO2 project) (Will high CO2 conditions affect production, partitioning and fate of organic matter?) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -119.842 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Lab_Id | String | ||
attribute | Lab_Id | bcodmo_name | String | laboratory |
attribute | Lab_Id | description | String | Lab Id - Lab identifier where experiments were conducted |
attribute | Lab_Id | long_name | String | Lab Id |
attribute | Lab_Id | units | String | text |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 34.4126, 34.4126 |
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 | Approximate Latitude Position of Lab; South 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 | -119.842, -119.842 |
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 | Approximate Longitude Position of Lab; West 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 | Temp | byte | ||
attribute | Temp | _FillValue | byte | 127 |
attribute | Temp | actual_range | byte | 15, 20 |
attribute | Temp | bcodmo_name | String | temperature |
attribute | Temp | description | String | Temperature |
attribute | Temp | long_name | String | Temperature |
attribute | Temp | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ |
attribute | Temp | units | String | Degrees C |
variable | pCO2 | short | ||
attribute | pCO2 | _FillValue | short | 32767 |
attribute | pCO2 | actual_range | short | 400, 1000 |
attribute | pCO2 | bcodmo_name | String | unknown |
attribute | pCO2 | description | String | pCO2 conditions |
attribute | pCO2 | long_name | String | P CO2 |
attribute | pCO2 | units | String | micro atm |
variable | replicate | byte | ||
attribute | replicate | _FillValue | byte | 127 |
attribute | replicate | actual_range | byte | 1, 2 |
attribute | replicate | bcodmo_name | String | unknown |
attribute | replicate | description | String | number of replicate samples |
attribute | replicate | long_name | String | Replicate |
attribute | replicate | units | String | dimensionless |
variable | sampling | byte | ||
attribute | sampling | _FillValue | byte | 127 |
attribute | sampling | actual_range | byte | 0, 11 |
attribute | sampling | bcodmo_name | String | unknown |
attribute | sampling | description | String | day of experiment |
attribute | sampling | long_name | String | Sampling |
attribute | sampling | units | String | dimensionless |
variable | pH_at_25C | float | ||
attribute | pH_at_25C | _FillValue | float | NaN |
attribute | pH_at_25C | actual_range | float | 7.529, 8.566 |
attribute | pH_at_25C | bcodmo_name | String | unknown |
attribute | pH_at_25C | description | String | pH at 25 C |
attribute | pH_at_25C | long_name | String | P H At 25 C |
attribute | pH_at_25C | units | String | total scale |
variable | DIC | short | ||
attribute | DIC | _FillValue | short | 32767 |
attribute | DIC | actual_range | short | 1627, 2264 |
attribute | DIC | bcodmo_name | String | unknown |
attribute | DIC | description | String | DIC |
attribute | DIC | long_name | String | DIC |
attribute | DIC | units | String | micro mol C L-1 |
variable | fluorescence | short | ||
attribute | fluorescence | _FillValue | short | 32767 |
attribute | fluorescence | actual_range | short | 42, 396 |
attribute | fluorescence | bcodmo_name | String | unknown |
attribute | fluorescence | description | String | Fluorescence - Instantaneous Chlorophyll Fluorescence (FT from AquaPen) |
attribute | fluorescence | long_name | String | Fluorescence |
attribute | fluorescence | units | String | (tbd) |
variable | NO3 | float | ||
attribute | NO3 | _FillValue | float | NaN |
attribute | NO3 | actual_range | float | 0.0, 14.5 |
attribute | NO3 | bcodmo_name | String | unknown |
attribute | NO3 | colorBarMaximum | double | 50.0 |
attribute | NO3 | colorBarMinimum | double | 0.0 |
attribute | NO3 | description | String | NO3 |
attribute | NO3 | long_name | String | Mole Concentration Of Nitrate In Sea Water |
attribute | NO3 | units | String | micro mol N L-1 |
variable | PO4 | float | ||
attribute | PO4 | _FillValue | float | NaN |
attribute | PO4 | actual_range | float | 1.6, 6.4 |
attribute | PO4 | bcodmo_name | String | unknown |
attribute | PO4 | description | String | PO4 |
attribute | PO4 | long_name | String | Mass Concentration Of Phosphate In Sea Water |
attribute | PO4 | units | String | micro mol P L-1 |
variable | Si | float | ||
attribute | Si | _FillValue | float | NaN |
attribute | Si | actual_range | float | 0.1, 58.4 |
attribute | Si | bcodmo_name | String | unknown |
attribute | Si | description | String | Si |
attribute | Si | long_name | String | Mass Concentration Of Silicate In Sea Water |
attribute | Si | units | String | micro mol Si L-1 |
variable | POC | float | ||
attribute | POC | _FillValue | float | NaN |
attribute | POC | actual_range | float | 27.5, 462.93 |
attribute | POC | bcodmo_name | String | unknown |
attribute | POC | description | String | POC |
attribute | POC | long_name | String | Particulate Organic Carbon |
attribute | POC | units | String | micro mol C L-1 |
variable | PON | float | ||
attribute | PON | _FillValue | float | NaN |
attribute | PON | actual_range | float | 1.49, 16.76 |
attribute | PON | bcodmo_name | String | unknown |
attribute | PON | description | String | PON |
attribute | PON | long_name | String | PON |
attribute | PON | units | String | micro mol N L-1 |
variable | DOC | float | ||
attribute | DOC | _FillValue | float | NaN |
attribute | DOC | actual_range | float | 32.67, 57.34 |
attribute | DOC | bcodmo_name | String | unknown |
attribute | DOC | description | String | DOC |
attribute | DOC | long_name | String | DOC |
attribute | DOC | units | String | micro mol C L-1 |
variable | DON | float | ||
attribute | DON | _FillValue | float | NaN |
attribute | DON | actual_range | float | 2.41, 13.78 |
attribute | DON | bcodmo_name | String | unknown |
attribute | DON | description | String | DON |
attribute | DON | long_name | String | DON |
attribute | DON | units | String | micro mol N L-1 |
variable | TEP | short | ||
attribute | TEP | _FillValue | short | 32767 |
attribute | TEP | actual_range | short | 290, 8210 |
attribute | TEP | bcodmo_name | String | unknown |
attribute | TEP | description | String | TEP |
attribute | TEP | long_name | String | TEP |
attribute | TEP | units | String | GXEQ L-1 |
variable | bacteria_production | short | ||
attribute | bacteria_production | _FillValue | short | 32767 |
attribute | bacteria_production | actual_range | short | 377, 2375 |
attribute | bacteria_production | bcodmo_name | String | unknown |
attribute | bacteria_production | description | String | Bacteria production |
attribute | bacteria_production | long_name | String | Bacteria Production |
attribute | bacteria_production | units | String | pmol leucine L-1 hr-1 |