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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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data | graph | files | public | [Chemistry and cell counts] - Chemistry and cell counts of formation fluids from North Pond, western flank of the Mid-Atlantic Ridge, from 2012-2014 (Collaborative Research: Characterization of Microbial Transformations in Basement Fluids, from Genes to Geochemical Cycling) | F I M | background | BCO-DMO | bcodmo_dataset_782025 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson |
attribute | NC_GLOBAL | acquisition_description | String | Sample collection Crustal fluids were collected from the single horizon at U1382A and from the shallow, middle and deep horizons in U1383C (Edwards et al., 2012) using a mobile pumping system designed for microbial sampling from CORK fluid delivery lines as described in Meyer et al. (2016) and Cowen et al. (2012). Deployed with the ROV system, mobile pumping system connectors are attached to the CORK wellhead via an umbilical to the hydrological zone of interest within the aquifer. Fluid systems were flushed and allowed to equilibrate before sampling, and dissolved oxygen concentrations were measured during pumping using an Aanderaa sensor (Meyer et al., 2016). In 2012, 12 l of each fluid sample were filtered on to a 0.22 \u03bcm Sterivex-GP filter (Merck Millipore, Billerica, MA, USA) as described in Meyer et al. (2016). In 2014, 12 l of each sample was filtered in situ and immediately fixed with RNALater (Thermo Fisher Scientific, Waltham, MA, USA), as described previously (Akerman et al., 2013). After sampling in 2012, a battery-powered GeoMICROBE sled was left at each CORK for time series autonomous sampling of the fluid delivery lines (Cowen et al., 2012). For each filter sample, ~10 l of fluid were filtered in situ and immediately fixed with RNALater. For downstream analysis, ~500 ml of fluid were filtered into two Tedlar bags, one containing 54 ml of 37% formaldehyde for cell enumeration and the other with 4 ml of 10% HCl for inorganic chemistry analyses. Sleds were deployed in April 2012 and recovered in April 2014 with samples collected. Upon sled recovery, filters were transferred to fresh RNALater and stored at \u221280 \u00b0C, while all bag samples were stored at 4 \u00b0C (Cowen et al., 2012). Deep bottom water was sampled in 2012 and 2014 via a CTD at 100 m above the seafloor and filtered in the same manner as the crustal fluids onto Sterivex filters. Total microbial biomass in fluids was enumerated with DAPI (4\u2032,6\u2032-diamidino-2-phenylindole; Sigma-Aldrich, St Louis, MO, USA) and epifluorescent microscopy (Porter and Feig, 1980). Fluids also were analyzed for dissolved silicon and nitrate using automated colorimetric analysis and pH was measured with an electrode before a potentiometric titration for the determination of alkalinity (Wheat et al., 2017). |
attribute | NC_GLOBAL | awards_0_award_nid | String | 554913 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1061934 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1061934 |
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 | awards_1_award_nid | String | 554917 |
attribute | NC_GLOBAL | awards_1_award_number | String | OCE-1061827 |
attribute | NC_GLOBAL | awards_1_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1061827 |
attribute | NC_GLOBAL | awards_1_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_1_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_1_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_1_program_manager | String | David L. Garrison |
attribute | NC_GLOBAL | awards_1_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | awards_2_award_nid | String | 554921 |
attribute | NC_GLOBAL | awards_2_award_number | String | OCE-1062006 |
attribute | NC_GLOBAL | awards_2_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1062006 |
attribute | NC_GLOBAL | awards_2_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_2_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_2_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_2_program_manager | String | David L. Garrison |
attribute | NC_GLOBAL | awards_2_program_manager_nid | String | 50534 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Chemistry and cell counts of formation fluids from North Pond PI: Julie Huber Version: 2019-11-19 |
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 | 2019-11-19T17:33:59Z |
attribute | NC_GLOBAL | date_modified | String | 2019-12-02T21:07:15Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.782025.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -46.05 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 22.8 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 22.78 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -46.05 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -46.09 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/782025 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | CTD |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Deep bottom water was sampled in 2012 and 2014 via a CTD at 100 m above the seafloor and filtered in the same manner as the crustal fluids onto Sterivex filters. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 782032 |
attribute | NC_GLOBAL | instruments_0_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_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/130/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | CTD profiler |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 417 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | CTD |
attribute | NC_GLOBAL | instruments_1_acronym | String | AOO |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | Fluid systems were flushed and allowed to equilibrate before sampling, and dissolved oxygen concentrations were measured during pumping using an Aanderaa sensor (Meyer et al., 2016). |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 782033 |
attribute | NC_GLOBAL | instruments_1_description | String | Aanderaa Oxygen Optodes are instrument for monitoring oxygen in the environment. For instrument information see the Aanderaa Oxygen Optodes Product Brochure. |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/351/ |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Aanderaa Oxygen Optodes |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 563 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | Aanderaa sensor |
attribute | NC_GLOBAL | instruments_2_acronym | String | Automatic titrator |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_description | String | Fluids also were analyzed for dissolved silicon and nitrate using automated colorimetric analysis and pH was measured with an electrode before a potentiometric titration for the determination of alkalinity (Wheat et al., 2017). |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 782036 |
attribute | NC_GLOBAL | instruments_2_description | String | Instruments that incrementally add quantified aliquots of a reagent to a sample until the end-point of a chemical reaction is reached. |
attribute | NC_GLOBAL | instruments_2_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB12/ |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Automatic titrator |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 682 |
attribute | NC_GLOBAL | instruments_2_supplied_name | String | automated colorimetric analysis |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_description | String | Total microbial biomass in fluids was enumerated with DAPI (4′,6′-diamidino-2-phenylindole; Sigma-Aldrich, St Louis, MO, USA) and epifluorescent microscopy (Porter and Feig, 1980). |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_nid | String | 782035 |
attribute | NC_GLOBAL | instruments_3_description | String | Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments. |
attribute | NC_GLOBAL | instruments_3_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB06/ |
attribute | NC_GLOBAL | instruments_3_instrument_name | String | Microscope-Fluorescence |
attribute | NC_GLOBAL | instruments_3_instrument_nid | String | 695 |
attribute | NC_GLOBAL | instruments_3_supplied_name | String | epifluorescent microscopy |
attribute | NC_GLOBAL | instruments_4_acronym | String | GeoMICROBE |
attribute | NC_GLOBAL | instruments_4_dataset_instrument_description | String | After sampling in 2012, a battery-powered GeoMICROBE sled was left at each CORK for time series autonomous sampling of the fluid delivery lines (Cowen et al., 2012). |
attribute | NC_GLOBAL | instruments_4_dataset_instrument_nid | String | 782034 |
attribute | NC_GLOBAL | instruments_4_description | String | Integrated Ocean Drilling Program borehole CORK (Circulation Obviation Retrofit Kit) observatories provide long-term access to hydrothermal fluids circulating within the basaltic crust (basement), providing invaluable opportunities to study the deep biosphere. We describe the design and application parameters of the GeoMICROBE instrumented sled, an autonomous sensor and fluid sampling system. The GeoMICROBE system couples with CORK fluid delivery lines to draw large volumes of fluids from crustal aquifers to the seafloor. These fluids pass a series of in-line sensors and an in situ filtration and collection system. GeoMICROBE’s major components include a primary valve manifold system, a positive displacement primary pump, sensors (e.g., fluid flow rate, temperature, dissolved O2, electrochemistry-voltammetry analyzer), a 48-port in situ filtration and fluid collection system, computerized controller, seven 24 V-40 A batteries and wet-mateable (ODI) communications with submersibles. This constantly evolving system has been successfully connected to IODP Hole 1301A on the eastern flank of the Juan de Fuca Ridge. Reference: Cowen, J.P., Copson, D., Jolly, J., Hsieh, C.-C., Matsumoto, R., Glazer, B.T. et al. (2012) Advanced instrument system for real-time and time-series microbial geochemical sampling of the deep (basaltic) crustal biosphere., Deep-Sea Research I, 61: 43-56 doi:10.1016/j.dsr.2011.11.004 |
attribute | NC_GLOBAL | instruments_4_instrument_name | String | GeoMICROBE |
attribute | NC_GLOBAL | instruments_4_instrument_nid | String | 565376 |
attribute | NC_GLOBAL | instruments_4_supplied_name | String | GeoMICROBE sled |
attribute | NC_GLOBAL | keywords | String | 95pcnt, bco, bco-dmo, biological, bioproject, bioproject_id, cell, Cell_counts, chemical, chemistry, collection, concentration, confidence, confidence_level_95pcnt, counts, data, dataset, date, depth, depth_maximum, depth_minimum, description, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Silicate, erddap, latitude, level, longitude, management, mass, mass_concentration_of_silicate_in_sea_water, mole, mole_concentration_of_nitrate_in_sea_water, n02, nitrate, no3, O2, ocean, oceanography, oceans, office, oxygen, preliminary, sample, science, sea, seawater, silicate, time, water |
attribute | NC_GLOBAL | keywords_vocabulary | String | GCMD Science Keywords |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/782025/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/782025 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 22.8 |
attribute | NC_GLOBAL | param_mapping | String | {'782025': {'lat': 'flag - latitude', 'lon': 'flag - longitude'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/782025/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Marine Biological Laboratory |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | MBL |
attribute | NC_GLOBAL | people_0_person_name | String | Julie Huber |
attribute | NC_GLOBAL | people_0_person_nid | String | 51266 |
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 | Harvard University |
attribute | NC_GLOBAL | people_1_person_name | String | Peter Girguis |
attribute | NC_GLOBAL | people_1_person_nid | String | 544586 |
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 Hawaii at Manoa |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | SOEST |
attribute | NC_GLOBAL | people_2_person_name | String | Brian Glazer |
attribute | NC_GLOBAL | people_2_person_nid | String | 554919 |
attribute | NC_GLOBAL | people_2_role | String | Co-Principal Investigator |
attribute | NC_GLOBAL | people_2_role_type | String | originator |
attribute | NC_GLOBAL | project | String | North Pond Microbes |
attribute | NC_GLOBAL | projects_0_acronym | String | North Pond Microbes |
attribute | NC_GLOBAL | projects_0_description | String | Description from NSF award abstract: Current estimates suggest that the volume of ocean crust capable of sustaining life is comparable in magnitude to that of the oceans. To date, there is little understanding of the composition or functional capacity of microbial communities in the sub-seafloor, or their influence on the chemistry of the oceans and subsequent consequences for global biogeochemical cycles. This project focuses on understanding the relationship between microbial communities and fluid chemistry in young crustal fluids that are responsible for the transport of energy, nutrients, and organisms in the crust. Specifically, the PIs will couple microbial activity measurements, including autotrophic carbon, nitrogen and sulfur metabolisms as well as mineral oxide reduction, with quantitative assessments of functional gene expression and geochemical transformations in basement fluids. Through a comprehensive suite of in situ and shipboard analyses, this research will yield cross-disciplinary advances in our understanding of the microbial ecology and geochemistry of the sub-seafloor biosphere. The focus of the effort is at North Pond, an isolated sediment pond located on ridge flank oceanic crust 7-8 million years old on the western side of the Mid-Atlantic Ridge. North Pond is currently the target for drilling on IODP expedition 336, during which it will be instrumented with three sub-seafloor basement observatories. The project will leverage this opportunity for targeted and distinct sampling at North Pond on two German-US research cruises to accomplish three main objectives: 1. to determine if different basement fluid horizons across North Pond host distinct microbial communities and chemical milieus and the degree to which they change over a two-year post-drilling period. 2. to quantify the extent of autotrophic metabolism via microbially-mediated transformations in carbon, nitrogen, and sulfur species in basement fluids at North Pond. 3. to determine the extent of suspended particulate mineral oxides in basement fluids at North Pond and to characterize their role as oxidants for fluid-hosted microbial communities. Specific outcomes include quantitative assessments of microbial activity and gene expression as well as geochemical transformations. The program builds on the integrative research goals for North Pond and will provide important data for guiding the development of that and future deep biosphere research programs. Results will increase understanding of microbial life and chemistry in young oceanic crust as well as provide new insights into controls on the distribution and activity of marine microbial communities throughout the worlds oceans. There are no data about microbial communities in ubiquitous cold, oceanic crust, the emphasis of the proposed work. This is an interdisciplinary project at the interface of microbial ecology, chemistry, and deep-sea oceanography with direct links to international and national research and educational organizations. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2015-05 |
attribute | NC_GLOBAL | projects_0_geolocation | String | North Pond, mid-Atlantic Ridge |
attribute | NC_GLOBAL | projects_0_name | String | Collaborative Research: Characterization of Microbial Transformations in Basement Fluids, from Genes to Geochemical Cycling |
attribute | NC_GLOBAL | projects_0_project_nid | String | 554914 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2011-06 |
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 | 22.78 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Chemistry and cell counts of formation fluids from North Pond |
attribute | NC_GLOBAL | title | String | [Chemistry and cell counts] - Chemistry and cell counts of formation fluids from North Pond, western flank of the Mid-Atlantic Ridge, from 2012-2014 (Collaborative Research: Characterization of Microbial Transformations in Basement Fluids, from Genes to Geochemical Cycling) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -46.09 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | sample | String | ||
attribute | sample | bcodmo_name | String | sample |
attribute | sample | description | String | sample identifier |
attribute | sample | long_name | String | Sample |
attribute | sample | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ |
attribute | sample | units | String | unitless |
variable | bioproject_id | String | ||
attribute | bioproject_id | bcodmo_name | String | accession number |
attribute | bioproject_id | description | String | NIH bioproject term |
attribute | bioproject_id | long_name | String | Bioproject Id |
attribute | bioproject_id | units | String | unitless |
variable | collection_date | String | ||
attribute | collection_date | bcodmo_name | String | date |
attribute | collection_date | description | String | date of fluid collection in yyyy-mm-dd format |
attribute | collection_date | long_name | String | Collection Date |
attribute | collection_date | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ |
attribute | collection_date | source_name | String | collection_date |
attribute | collection_date | time_precision | String | 1970-01-01 |
attribute | collection_date | units | String | unitless |
variable | description | String | ||
attribute | description | bcodmo_name | String | sample_descrip |
attribute | description | description | String | Fluid type and origin |
attribute | description | long_name | String | Description |
attribute | description | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 22.78, 22.8 |
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 of sample |
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 | -46.09, -46.05 |
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 of sample |
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 | depth_minimum | short | ||
attribute | depth_minimum | _FillValue | short | 32767 |
attribute | depth_minimum | actual_range | short | 70, 4350 |
attribute | depth_minimum | bcodmo_name | String | depth_bsf |
attribute | depth_minimum | colorBarMaximum | double | 8000.0 |
attribute | depth_minimum | colorBarMinimum | double | -8000.0 |
attribute | depth_minimum | colorBarPalette | String | TopographyDepth |
attribute | depth_minimum | description | String | minimum range of sample depth within borehole below sea floor |
attribute | depth_minimum | long_name | String | Depth |
attribute | depth_minimum | standard_name | String | depth |
attribute | depth_minimum | units | String | meters |
variable | depth_maximum | short | ||
attribute | depth_maximum | _FillValue | short | 32767 |
attribute | depth_maximum | actual_range | short | 146, 4350 |
attribute | depth_maximum | bcodmo_name | String | depth_bsf |
attribute | depth_maximum | colorBarMaximum | double | 8000.0 |
attribute | depth_maximum | colorBarMinimum | double | -8000.0 |
attribute | depth_maximum | colorBarPalette | String | TopographyDepth |
attribute | depth_maximum | description | String | maximum range of sample depth within borehole below sea floor |
attribute | depth_maximum | long_name | String | Depth |
attribute | depth_maximum | standard_name | String | depth |
attribute | depth_maximum | units | String | meters |
variable | Cell_counts | short | ||
attribute | Cell_counts | _FillValue | short | 32767 |
attribute | Cell_counts | actual_range | short | 5000, 28000 |
attribute | Cell_counts | bcodmo_name | String | abundance |
attribute | Cell_counts | description | String | cell counts |
attribute | Cell_counts | long_name | String | Cell Counts |
attribute | Cell_counts | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Cell_counts | units | String | cells per mililiter (cells/mL) |
variable | confidence_level_95pcnt | short | ||
attribute | confidence_level_95pcnt | _FillValue | short | 32767 |
attribute | confidence_level_95pcnt | actual_range | short | 300, 11000 |
attribute | confidence_level_95pcnt | bcodmo_name | String | unknown |
attribute | confidence_level_95pcnt | colorBarMaximum | double | 50.0 |
attribute | confidence_level_95pcnt | colorBarMinimum | double | 0.0 |
attribute | confidence_level_95pcnt | description | String | cell count confidence interval |
attribute | confidence_level_95pcnt | long_name | String | Confidence Level 95pcnt |
attribute | confidence_level_95pcnt | units | String | cells per mililiter (cells/mL) |
variable | O2 | String | ||
attribute | O2 | bcodmo_name | String | dissolved Oxygen |
attribute | O2 | description | String | Dissolved oxygen concentration |
attribute | O2 | long_name | String | O2 |
attribute | O2 | units | String | micromole per Liter (umol/L) |
variable | NO3 | float | ||
attribute | NO3 | _FillValue | float | NaN |
attribute | NO3 | actual_range | float | 21.1, 22.3 |
attribute | NO3 | bcodmo_name | String | NO3 |
attribute | NO3 | colorBarMaximum | double | 50.0 |
attribute | NO3 | colorBarMinimum | double | 0.0 |
attribute | NO3 | description | String | Nitrate concentration |
attribute | NO3 | long_name | String | Mole Concentration Of Nitrate In Sea Water |
attribute | NO3 | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/ |
attribute | NO3 | units | String | micromole per Liter (umol/L) |
variable | Si | short | ||
attribute | Si | _FillValue | short | 32767 |
attribute | Si | actual_range | short | 48, 158 |
attribute | Si | bcodmo_name | String | Si |
attribute | Si | description | String | Silica concentration |
attribute | Si | long_name | String | Mass Concentration Of Silicate In Sea Water |
attribute | Si | units | String | micromole per Liter (umol/L) |
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.