BCO-DMO ERDDAP
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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 Methodology is from Goldberg et al (2009).\n \nStudy site  \n The BATS site is located at 31\\u00b040'N, 64\\u00b010'W in the Northwestern\nSargasso Sea. There, the surface layer of the water column is thermally\nstratified during summer and autumn months and concentrations of\nmacronutrients are generally below limits of detection (Steinberg et al.,\n2001). Sub-tropical mode water (STMW), formed to the north before subducting\nwith subsequent southerly flow, lies below the surface layer at the BATS site,\noccupying the 18 \\u00b0C thermostad between 150 and 400 m (Worthington, 1976;\nPalter et al., 2005). Deep convective mixing that occurs during winter months\ncan entrain STMW, with elevated nutrient concentrations, into the surface\nlayer, supporting the annual winter/spring phytoplankton bloom.\n \nSample collection  \n Samples for DOC and DCNS were collected monthly to bimonthly between 2001\nand 2004 at the BATS study site aboard the R/V Weatherbird II. Seawater was\ncollected in 12 L Niskin bottles using a conductivity, temperature, and depth\n(CTD) profiler. Each sample was gravity filtered through an inline 47 mm glass\nfiber filter (GF/F filters, Whatman) housed in an acid cleaned polycarbonate\ncartridge (Gelman) and attached directly to the Niskin bottle spigot using\nsilicone tubing. Filtrate was collected in 40 mL combusted glass EPA vials,\nfrozen immediately, and stored at -20 \\u00b0C until analysis at University of\nCalifornia Santa Barbara. For long-term storage, 4 mL aliquots of sample were\ntransferred into 5 mL glass ampoules, dried in a Savant Speed Vac, sealed with\nTeflon tape, and stored in sealed polyethylene bags at -20 \\u00b0C. All\nplasticware was washed with 10% hydrochloric acid (HCl; Fisher) and flushed\nthoroughly with UV oxidized Nanopure\\u00ae water (Barnstead Thermoline). Glass\nfiber (GF/F) filters and borosilicate vials were combusted at 450 \\u00b0C for\n2-3 h prior to use. All samples were analyzed between October 2004 and July\n2006.\n \nTo ensure run-to-run comparability, surface (1 m) and deep (200 m) seawater\nreferences (same batch) were incorporated in each run. A large batch of\nreference seawaters were collected during the summer of 2004 from the Santa\nBarbara Channel, filtered, dried and stored in 5 mL glass ampoules as\ndescribed above.\n \nSample processing  \n All DCNS samples were analyzed in triplicate following the methodology of\nBorch and Kirchman (1997) with slight modification of the hydrolysis time (see\nrecovery tests below). Prior to hydrolysis, dried samples were resuspended to\nthe initial volume with Nanopure\\u00ae water. Samples were then flame sealed\nand hydrolyzed with H2SO4 (0.85 M; Fisher) for 21 h at 100 \\u00b0C. Samples\nwere cooled then pipetted into 30 mL polycarbonate tubes that had been pre-\ncleaned with successive rinses of methanol (Fisher), 0.5 M HCl, 0.5 M NaOH\n(Fisher), and Nanopure\\u00ae water. Samples were neutralized with 1.2 Meq\nCaCO3 that had been precombusted at 450 \\u00b0C for 2-3 h and vortexed until a\npH of ~6 was achieved (Skoog and Benner, 1997). Samples were then placed in a\ncentrifuge and spun at 28,760g for 30 min at room temperature. The supernatant\nwas dispensed by pipette into 7 mL combusted glass scintillation vials\nequipped with Teflon lined caps and refrigerated (4 \\u00b0C no longer than 72\nh) in the dark prior to desalting. The desalting protocol was conducted\naccording to the methods of Mopper et al. (1992) in 20 mL BioRad (Hercules,\nCA) HDPE columns that were cleaned with full bed volumes of NaOH (0.5 M), HCl\n(0.5 M), and Nanopure\\u00ae water prior to resin loading. Columns were loaded\nwith 7 mL of mixed anion (AG 2-X8, 20-50 mesh, Bio-Rad) and cation (AG 50W-X8,\n100-200 mesh, Bio-Rad) exchange resin that were then flushed 3\\u00d7 with two\nbed volumes of Nanopure\\u00ae water and dried by purging with ultra high\npurity He gas. Resin was primed 3 times with 400 \\u00b5L of sample and purged\nimmediately. Then, 900 \\u00b5L of sample was added to the resin and let stand\nfor 7 min before collection in 20 mL combusted glass scintillation vials.\nSample salinity was randomly checked with a refractometer. Only one lot of\nmixed anion and cation exchange resin was used throughout this study and was\nregenerated over the extended period of analysis to ensure consistency in\nsugar recovery, as demonstrated with reference water runs.\n \nHPLC analysis  \n DCNS were analyzed via pulsed amperometric detection high performance liquid\nchromatography (PAD-HPLC) using a Dionex (Sunnyvale, CA) Bio-LC 600 equipped\nwith a GS-50 pump, ED-50 detector, and AS-50 autosampler. Chromeleon 6.2\nintegration software was used for data integration. Sugars were isocratically\neluted at 18 mM NaOH (50% w/w, Fisher) and separated with Dionex CarboPac\nPA-10 analytical and guard columns. The electrochemical detector was equipped\nwith an Au working electrode and an Ag/Cl pH reference electrode. A 200 mM\nNaOH wash (10 min) was used to minimize CO3 buildup on the columns and was\nperformed after each sample. A known Dionex mono-standard (100 nM) of 6 sugars\n(fucose, galactosamine, glucosamine, galactose, glucose and mannose) was\nanalyzed every 8th sample to assess variability associated with the electrodes\nand PA-10 columns. This standard was also used to determine if the PAD-HPLC\nsystem was stable for each analytical run. Runs were aborted when the decrease\nin sensitivity approached 20% of initial standard values. A mono-standard mix\nof 7 sugars including fucose, rhamnose, arabinose, galactose, glucose,\nmannose, and fructose (Absolute Standards Inc., Hamden, CT) was used for\nstandardization via a 4-point standard curve (10, 75, 125, 250 nM). Desalting\nand hydrolysis recoveries for aldoses in the quantification standard were\nwithin the range of 70-90% and 55-60%, respectively, for all neutral sugars.\nThe values for DCNS in field samples were normalized to hydrolyzed and\ndesalted quantification standards, similar to Kirchman et al. (2001).\nConcentrations reported have been corrected for blank levels measured with\nhydrolyzed Nanopure\\u00ae water. Fructose is degraded or destroyed during acid\nhydrolysis, and is therefore not reported. Similar to other studies of DCNS in\noceanic settings (Borch and Kirchman, 1997; Rich et al., 1997; Kirchman et\nal., 2001), the peaks for mannose and xylose co-eluted and are referred to as\nmannose+xylose hereafter.\n \nVials containing surface and deep reference seawater material processed with\nevery batch of samples were analyzed to track total analytical variability\nover time. Surface and deep reference waters were analyzed in triplicate at\nthe beginning, middle, and end of each run to assess protocol efficiency,\ncleanliness and consistency within and between runs.\n \nAncillary data  \n Supporting data such as DOC concentration, primary production (PP),\ntemperature, and sigma-theta were provided by the BATS time-series program and\nare available at ([http://bats.bbsr.edu/](\\\\\"http://bats.bbsr.edu/\\\\\")). DOC\nconcentrations were determined according to the method of Farmer and Hansell\n(2007), and the analytical variability was <2% for field (Hansell and Carlson,\n2001; Carlson et al., 2004) and seawater culture samples. There is minimal\ncontribution of particles to TOC at the BATS site (Hansell and Carlson, 2001),\nand DOC concentrations reported herein reflect values determined from\nunfiltered samples. The methods used to make the remaining ancillary\nmeasurements are described in Knap et al. (1997).\n \nData analyses  \n Multivariate statistical analysis (EOF) was performed to assess vertical and\ntemporal variability of organic carbon constituents including concentrations\nof bulk DOC, bulk DCNS, and individual neutral sugars (i.e. fucose, rhamnose,\narabinose, galactose, glucose, and mannose+xylose) measured from 2001 to 2004\n(n=228 time points) over the upper 250 m at the BATS study site. All data were\nmean-centered and normalized to their standard deviation at each sampling\ndepth (i.e. 0, 40, 80, 100, 140, 250 m). Correlation coefficients and p-values\nbetween EOF modal amplitudes, mol% DCNS values, DCNS yield, temperature, and\nsigma-theta were calculated with Statview 5.0 (SAS). Figures were made using\nDeltagraph and Matlab and all contour plots were generated using Ocean Data\nView (Schlitzer, 2007).\n \nSeawater cultures  \n Seawater culture experiments using natural assemblages of heterotrophic\nbacterioplankton followed the methods of Carlson et al. (2004). They were\ndesigned to assess the turnover of DCNS and DOC that accumulated in the\nstratified surface seawater at or in the vicinity of the BATS study site.\nSeawater was collected at BATS in September of 2005 aboard the R/V Weatherbird\nII and along the A20 (30 \\u00b054'N, 52\\u00b020'W) US CLIVAR Repeat\nHydrography transect in October of 2003 aboard the R/V Knorr. Upon recovery of\nthe CTD, a filtrate of surface seawater was collected in a clean polycarbonate\ncarboy by gravity filtration through a 0.2 \\u00b5m pore size 142 mm Costar\nMembra-Fil filter housed in a 142 mm plastic filter holder. Costar Membra-Fil\nfilters leach DOC upon initial use (Carlson et al., 2004), and so were flushed\nwith >2 L of Nanopure\\u00ae water and >0.5 L of seawater prior to collecting\nthe filtrate to prevent organic contamination. Whole surface seawater was\ndiluted by 70% with the 0.2 \\u00b5m filtrate for all experimental treatments,\nand final volumes were 10 and 8 L respectively for the BATS and A20\nexperiments. All cultures were incubated at in situ temperatures in the dark\nin Precision laboratory incubators for 8-31 days. Bacterioplankton samples for\ncellular abundance were collected and fixed with 0.2 \\u00b5m filtered 10%\nformalin (final concentration 3.5%; Fisher). These samples were stored at 4\n\\u00b0C until slides were prepared (within 48 h of collection). Cells were\nfiltered onto 0.2 \\u00b5m polycarbonate filters pre-stained with Irgalan black\nthat were subsequently stained with 4'-6'-diamidino-2-phenylidole (DAPI)\naccording to the methods of Porter and Feig (1980). An Olympus AX70 or BX-51\nepifluorescence microscope was used to enumerate DAPI stained cells.
attribute NC_GLOBAL awards_0_award_nid String 514363
attribute NC_GLOBAL awards_0_award_number String OCE-0802004
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward?AWD_ID=0802004 (external link)
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 Sugars at BATS site, 2001-2004 \n   C. Carlson (UC-SB) \n   version: 2014-12-16
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/ (external link)
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 2014-12-23T15:26:06Z
attribute NC_GLOBAL date_modified String 2020-05-11T19:39:47Z
attribute NC_GLOBAL defaultDataQuery String &amp;time&lt;now
attribute NC_GLOBAL doi String 10.26008/1912/bco-dmo.543771.1
attribute NC_GLOBAL Easternmost_Easting double -64.092
attribute NC_GLOBAL geospatial_lat_max double 31.711
attribute NC_GLOBAL geospatial_lat_min double 31.593
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double -64.092
attribute NC_GLOBAL geospatial_lon_min double -64.271
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL geospatial_vertical_max double 250.0
attribute NC_GLOBAL geospatial_vertical_min double 1.0
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/543771 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Niskin bottle
attribute NC_GLOBAL instruments_0_dataset_instrument_description String 12 liter Niskin bottles
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 543806
attribute NC_GLOBAL instruments_0_description String A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Niskin bottle
attribute NC_GLOBAL instruments_0_instrument_nid String 413
attribute NC_GLOBAL instruments_0_supplied_name String Niskin bottle
attribute NC_GLOBAL instruments_1_acronym String CTD
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 543807
attribute NC_GLOBAL instruments_1_description String The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column.  The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or  radiometers.  It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.  This instrument designation is used when specific make and model are not known.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/130/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String CTD profiler
attribute NC_GLOBAL instruments_1_instrument_nid String 417
attribute NC_GLOBAL instruments_1_supplied_name String CTD
attribute NC_GLOBAL instruments_2_acronym String HPLC
attribute NC_GLOBAL instruments_2_dataset_instrument_description String DCNS were analyzed via pulsed amperometric detection highperformance liquid chromatography (PAD-HPLC) using a Dionex (Sunnyvale, CA) Bio-LC600 equipped with a GS-50 pump, ED-50 detector, and AS-50 autosampler. Chromeleon 6.2 integration software was used for data integration.
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 543805
attribute NC_GLOBAL instruments_2_description String A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase.
attribute NC_GLOBAL instruments_2_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB11/ (external link)
attribute NC_GLOBAL instruments_2_instrument_name String High Performance Liquid Chromatograph
attribute NC_GLOBAL instruments_2_instrument_nid String 506
attribute NC_GLOBAL instruments_2_supplied_name String PAD-HPLC
attribute NC_GLOBAL keywords String arabinose, bco, bco-dmo, biological, cast, cast_type, chemical, code, cruise, cruise_code, cruise_id, cruise_id2, data, dataset, date, dcns, decimal, depth, depth_n, dmo, erddap, fucose, galactose, glucose, id2, iso, latitude, longitude, management, mannose, oceanography, office, preliminary, rhamnose, station, time, type, year, year_decimal
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/543771/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/543771 (external link)
attribute NC_GLOBAL Northernmost_Northing double 31.711
attribute NC_GLOBAL param_mapping String {'543771': {'lat': 'master - latitude', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'flag - time', 'depth_n': 'flag - depth'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/543771/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of California-Santa Barbara
attribute NC_GLOBAL people_0_affiliation_acronym String UCSB
attribute NC_GLOBAL people_0_person_name String Craig Carlson
attribute NC_GLOBAL people_0_person_nid String 50575
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 Oregon State University
attribute NC_GLOBAL people_1_affiliation_acronym String OSU
attribute NC_GLOBAL people_1_person_name String Dr Stephen Giovannoni
attribute NC_GLOBAL people_1_person_nid String 514364
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 Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_2_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_2_person_name String Nancy Copley
attribute NC_GLOBAL people_2_person_nid String 50396
attribute NC_GLOBAL people_2_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_2_role_type String related
attribute NC_GLOBAL project String Ocean Microbial Observatory
attribute NC_GLOBAL projects_0_acronym String Ocean Microbial Observatory
attribute NC_GLOBAL projects_0_description String (Adapted from the NSF award abstract)\nThe premise of this project is that stratified bacterioplankton clades engage in specialized biogeochemical activities that can be identified by integrated oceanographic and microbiological approaches. Specifically, the objective of this project is to assess if the mesopelagic microbial community rely on diagenetically altered organic matter and subcellular fragments that are produced by microbial processes in the euphotic zone and delivered into the upper mesopelagic by sinking or mixing. In past efforts this microbial observatory had greater success cultivating members of the euphotic zone microbial community, and revealed an unanticipated growth requirement for reduced sulfur compounds in alphaproteobacteria of the SAR11 clade. Genomic information showed that intense competition for substrates imposes trade-offs on bacterioplankton - there are regions of N dimensional nutrient space where specialists win. We postulate that specific growth requirements may explain some the regular spatial and temporal patterns that have been observed in upper mesopelagic bacterioplankton communities, and the difficulties of culturing some of these organisms.\nThe specific objectives of this project are: 1) to produce 13C and 15N labeled subcellular (e.g., soluble, cell wall, and membrane) and DOM fractions from photosynthetic plankton cultures and use stable isotope probing to identify specific clades in the surface and upper mesopelagic microbial community that assimilate fractions of varying composition and lability. 2) to use fluorescence in situ hybridization approaches to monitor temporal and spatial variability of specific microbial populations identified from the SIP and HTC experiments. To increase resolution we will use CARD-FISH protocols. 3) to measure the proteomes of bacterioplankton communities to identify highly translated genes in the surface layer and upper mesopelagic, and community responses to seasonal nutrient limitation. 4) and, to cultivate these organisms via high throughput culturing (HTC) by pursuing the hypothesis that they require specific nutrient factors and/or diagenetically altered organic substrates. Complete genome sequences from key organisms will be sought and used as queries to study patterns of natural variation in genes and populations that have been associated with biogeochemically important functions.
attribute NC_GLOBAL projects_0_end_date String 2014-07
attribute NC_GLOBAL projects_0_geolocation String Bermuda Atlantic Time-Series study site
attribute NC_GLOBAL projects_0_name String Transitions in the Surface Layer and the Role of Vertically Stratified Microbial Communities in the Carbon Cycle - An Oceanic Microbial Observatory
attribute NC_GLOBAL projects_0_project_nid String 514365
attribute NC_GLOBAL projects_0_project_website String http://www.bios.edu/research/projects/oceanic-microbial-observatory/ (external link)
attribute NC_GLOBAL projects_0_start_date String 2008-08
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 31.593
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL subsetVariables String cruise_id,cast_type
attribute NC_GLOBAL summary String Sugar concentrations and dissolved combined neutral sugar (DCNS) dynamics were measured from samples for DCNS collected monthly to bimonthly between 2001 and 2004 at the BATS study site aboard the R/V Weatherbird II, Western Sargasso Sea.
attribute NC_GLOBAL time_coverage_end String 2004-12-08T14:32:00.000Z
attribute NC_GLOBAL time_coverage_start String 2001-09-12T12:55:00.000Z
attribute NC_GLOBAL title String [MO - sugars] - Sugar concentrations from the BATS site in the Sargasso Sea, 2001-2004 (Ocean Microbial Observatory project) (Transitions in the Surface Layer and the Role of Vertically Stratified Microbial Communities in the Carbon Cycle - An Oceanic Microbial Observatory)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double -64.271
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.5
variable cruise_id String
attribute cruise_id bcodmo_name String cruise_id
attribute cruise_id description String UNOLS cruise identification
attribute cruise_id long_name String Cruise Id
attribute cruise_id units String unitless
variable cruise_id2 String
attribute cruise_id2 bcodmo_name String cruise_id
attribute cruise_id2 description String BATS cruise during which sample was collected
attribute cruise_id2 long_name String Cruise Id2
attribute cruise_id2 units String unitless
variable cruise_code short
attribute cruise_code _FillValue short 32767
attribute cruise_code actual_range short 10156, 10195
attribute cruise_code bcodmo_name String cruise_id
attribute cruise_code description String BATS cruise code
attribute cruise_code long_name String Cruise Code
attribute cruise_code units String unitless
variable station float
attribute station _FillValue float NaN
attribute station actual_range float 156.1, 195.1
attribute station bcodmo_name String station
attribute station description String BATS station label
attribute station long_name String Station
attribute station units String unitless
variable cast_type String
attribute cast_type bcodmo_name String cast_type
attribute cast_type description String B for bottle type of cast
attribute cast_type long_name String Cast Type
attribute cast_type units String unitless
variable time double
attribute time _CoordinateAxisType String Time
attribute time actual_range double 1.0002993E9, 1.10251632E9
attribute time axis String T
attribute time bcodmo_name String ISO_DateTime_UTC
attribute time description String date and time at start of cast [UTC] formatted as yyyy-mm-ddThh:mm:ss.sss
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/ (external link)
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 1970-01-01T00:00:00.000Z
attribute time units String seconds since 1970-01-01T00:00:00Z
variable year_decimal double
attribute year_decimal _FillValue double NaN
attribute year_decimal actual_range double 2001.697365, 2004.936081
attribute year_decimal bcodmo_name String year_decimal
attribute year_decimal description String decimal year formatted as yyyy.fraction_of_year
attribute year_decimal long_name String Year Decimal
variable latitude double
attribute latitude _CoordinateAxisType String Lat
attribute latitude _FillValue double NaN
attribute latitude actual_range double 31.593, 31.711
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 at start of cast; north is positive
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/ (external link)
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 -64.271, -64.092
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 at start of cast; east is positive
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/ (external link)
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
variable depth_ float
attribute depth_ _FillValue float NaN
attribute depth_ actual_range float 2.4, 253.11
attribute depth_ bcodmo_name String depth
attribute depth_ colorBarMaximum double 8000.0
attribute depth_ colorBarMinimum double -8000.0
attribute depth_ colorBarPalette String TopographyDepth
attribute depth_ description String CTD depth
attribute depth_ long_name String Depth
attribute depth_ nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ (external link)
attribute depth_ standard_name String depth
attribute depth_ units String meters
variable depth double
attribute depth _CoordinateAxisType String Height
attribute depth _CoordinateZisPositive String down
attribute depth _FillValue double NaN
attribute depth actual_range double 1.0, 250.0
attribute depth axis String Z
attribute depth bcodmo_name String depth_n
attribute depth colorBarMaximum double 8000.0
attribute depth colorBarMinimum double -8000.0
attribute depth colorBarPalette String TopographyDepth
attribute depth description String bottle target depth
attribute depth ioos_category String Location
attribute depth long_name String Depth
attribute depth positive String down
attribute depth standard_name String depth
attribute depth units String m
variable fucose float
attribute fucose _FillValue float NaN
attribute fucose actual_range float 50.07, 487.88
attribute fucose bcodmo_name String unknown
attribute fucose description String concentration of Fucose
attribute fucose long_name String Fucose
attribute fucose units String nanomoles/liter
variable rhamnose float
attribute rhamnose _FillValue float NaN
attribute rhamnose actual_range float 35.0, 371.68
attribute rhamnose bcodmo_name String unknown
attribute rhamnose description String concentration of Rhamnose
attribute rhamnose long_name String Rhamnose
attribute rhamnose units String nanomoles/liter
variable arabinose float
attribute arabinose _FillValue float NaN
attribute arabinose actual_range float 25.38, 309.17
attribute arabinose bcodmo_name String unknown
attribute arabinose description String concentration of Arabinose
attribute arabinose long_name String Arabinose
attribute arabinose units String nanomoles/liter
variable galactose float
attribute galactose _FillValue float NaN
attribute galactose actual_range float 60.28, 968.33
attribute galactose bcodmo_name String unknown
attribute galactose description String concentration of Galactose
attribute galactose long_name String Galactose
attribute galactose units String nanomoles/liter
variable glucose float
attribute glucose _FillValue float NaN
attribute glucose actual_range float 110.82, 2082.69
attribute glucose bcodmo_name String unknown
attribute glucose description String concentration of Glucose
attribute glucose long_name String Glucose
attribute glucose units String nanomoles/liter
variable mannose float
attribute mannose _FillValue float NaN
attribute mannose actual_range float 98.09, 1193.59
attribute mannose bcodmo_name String unknown
attribute mannose description String concentration of Mannose
attribute mannose long_name String Mannose
attribute mannose units String nanomoles/liter
variable DCNS float
attribute DCNS _FillValue float NaN
attribute DCNS actual_range float 0.47, 4.24
attribute DCNS bcodmo_name String unknown
attribute DCNS description String dissolved combined neutral sugar concentration in micromolar carbon units
attribute DCNS long_name String DCNS
attribute DCNS units String nanomoles/liter

 
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