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Row Type | Variable Name | Attribute Name | Data Type | Value |
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attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt |
attribute | NC_GLOBAL | acquisition_description | String | Chlorophyll \n In the dark, 250 mL of seawater was filtered onto 25 mm GF/F filters.\\u00a0\nSamples were stored in the dark at -20C until analyzed according to protocols\nadapted from Strickland and Parsons (1972).\\u00a0 Briefly, samples were\nextracted in 90% acetone in the dark (4C, 9 hr) and measured using an 10AU\nfluorometer (Turner).\\u00a0 Sample signals were calibrated using a\nchlorophyll-a standard (Sigma C6144) and were corrected for pheopigments by\naccounting for the fluorescence of extracts before and after acidification to\n0.003 M HCl.\n \nNitrogen Species \n Concentrations of nitrate + nitrite were measured by chemiluminescence after\nreduction in a hot acidic vanadyl sulfate solution on a NOx analyzer (Braman\nand Hendrix, 1989). Concentrations of nitrite were quantified by using the\nGriess\\u2013Ilosvay method followed by measuring absorption 540 nm (Grasshoff\net al., 1999), and nitrate was quantified by difference. Concentrations of\nammonium were measured by fluorescence using the OPA method (Holmes et al.,\n1999).\n \nMicrobial Abundance \n Seawater samples were preserved for flow cytometry with 0.5% glutaraldehyde\n(final concentration), flash frozen in liquid nitrogen and stored at\n-80\\u00b0C until analysis. Bacteria and group-specific phytoplankton counts\nwere conducted on a Guava EasyCyte HT flow cytometer (Millipore). Instrument-\nspecific beads were used to calibrate the cytometer. Samples were analyzed at\na low flow rate (0.24 \\u00b5L s-1) for 3 min.\\u00a0 To enumerate bacteria,\nsamples were diluted (1:100) with filtered seawater (0.01 \\u00b5m).\\u00a0\nSamples and filtered seawater blanks were stained with SYBR Green I\n(Invitrogen) according to the manufacturer\\u2019s instructions and incubated\nin a 96-well plate in the dark at room temperature for 1 hr.\\u00a0 Bacterial\ncells were counted based on diagnostic forward scatter vs. green fluorescence\nsignals.\\u00a0 Major phytoplankton groups were distinguished based on plots of\nforward scatter vs. orange (phycoerythrin-containing Synechococcus sp.), and\nforward scatter vs. red (eukaryotes).\\u00a0 Size classes of eukaryotic\nphytoplankton were further distinguished based on forward scatter (pico-,\nnano- and large eukaryotes).\\u00a0\n \nDissolved organic carbon \n Filtered water samples for total dissolved organic carbon were pipetted into\nacid-washed combusted glass vials, acidified to pH = 2 with 12 M hydrochloric\nacid, and stored at 4 \\u00b0C until analysis on a Shimadzu TOC-5050A total\norganic carbon analyzer. The coefficient of variability between replicate\ninjections was less than 1%.\n \nReactive oxygen species \n Water samples were collected directly from a trace metal clean rosette into\nacid-washed, opaque bottles and stored in a shipboard flow-through seawater\nincubator. A subset of each water sample was filtered (0.2 um), amended with\n50 \\u00b5M diethylene-triaminepentaacetic acid (DTPA, Sigma), and aged\novernight in the shipboard seawater flow through incubator (termed AFSW).\nAdditionally, particle associated superoxide signals were determined by\nfiltering (0.2 um) a subset of each water sample and measuring the\nchemiluminescent signal within 25-30 minutes after filtering (termed FFSW).\nSuperoxide signals were measured by pumping unfiltered water (UFSW), FFSW, or\nAFSW from dark bottles using a high accuracy peristaltic pump directly into a\nflow-through FeLume Mini system (Waterville Analytical, Waterville ME) within\nthe ship laboratory. Superoxide detection was based on the reaction between\nsuperoxide and a chemiluminescent probe, a methyl cypridina luciferin analog\n(MCLA, Santa Cruz Biotechnology) (Rose et al., 2008) as before (Roe et al.,\n2016). The travel time of the water samples in the opaque FeLume tubing was\napproximately 20 sec. Data was collected for several minutes (~2-4 min) once a\nsteady-state signal was achieved. At least 12 hours following filtering, the\nsuperoxide signals within the AFSW for each depth was measured to establish\nthe baseline. At the end of each run, 800 U L-1 superoxide dismutase (SOD,\nSigma) was added to seawater samples. The total dark superoxide signal\nproduced in the seawater was defined as the difference between the UFSW signal\n(subtracted by the SOD baseline) and AFSW signal (subtracted by the SOD\nbaseline) (similar to (Roe et al., 2016)). The particle associated signal was\ndefined as the UFSW signal (subtracted by the SOD baseline) and FFSW signal\n(subtracted by the SOD baseline) (similar to (Roe et al., 2016)). While the\nSOD baseline has an autoxidation artifact, this artifact is canceled by taking\nthe difference between two signals. The chemiluminescent signals were\nconverted to superoxide concentration by conducted calibrations in the same\naged-filtered seawater used for the baseline at each depth. Calibrations were\nconducted using potassium dioxide (Sigma) as detailed previously (Zhang et\nal., 2016).\\u00a0\n \nDesignations are:\\u00a0 \n Total superoxide = [(UFSW) - (UFSW-SOD)] - [(AFSW)- (AFSW-SOD)] \n Particle superoxide = [(UFSW) - (UFSW-SOD)] - [(FFSW)- (FFSW-SOD)]\n \nHydrogen peroxide concentrations. Hydrogen peroxide concentration was\nquantified based on the oxidation of colorless AmplifluTM Red (AR, Sigma) to\npink-colored resorufin by hydrogen peroxide. For hydrogen peroxide\nconcentration analysis, pre-mixed AR and horse radish peroxidase (HRP) stock\nsolution was added at a final concentration of 50 \\u00b5mol L-1 AR and 1 kU\nL-1 HRP to filtered (0.2 um) and unfiltered seawater samples in a clear\n96-well microplate (Zhang et al., 2016). Light absorbance was measured at 570\nnm (Abs570, maximum absorbance of resorufin) and 700 nm (Abs700, to account\nfor background absorbance) on a SpectraMax\\u00ae M3 multi-mode microplate\nreader. The difference between Abs570 and Abs700 (i.e., Abs570-700) was used\nfor calculating hydrogen peroxide concentrations in seawater samples based on\na calibration. The calibration factor was determined by standard addition of\nhydrogen peroxide into 0.2-\\u00b5m filtered seawater from each station and\ndepth as described previously (Zhang et al., 2016). To account for\nautoxidation of AR, 200 kU L-1 catalase (Sigma) was added to the blanks prior\nto the addition of AR and HRP. The hydrogen peroxide concentrations in\nseawater samples were determined by applying the calibration factor to the\nblank-corrected Abs570-700values. Net and gross hydrogen peroxide\nconcentrations were defined as the levels measured in unfiltered and filtered\nseawater samples, respectively.\\u00a0\n \nManganese \n Seawater samples (1 L) were filtered through 0.2 \\u00b5m membrane filters\n(Millipore) within one hour of collection using acid-washed Savillex vacuum-\nfiltration rigs. The filtrate was poured into new 15 mL falcon tubes and the\nfilter was immediately amended with a leuco-based dye for Mn oxide\nconcentration in a separate 15 mL falcon tube.\n \nThe leucoberbelin blue (LBB) assay for Mn oxides (denoted MnOx hereafter) was\npreviously adapted from Altman (1972) to examine coastal water column sites\n(Oldham et al., 2015; 2017a, 2017b, 2017c). In this assay, the filter is\namended with 3 mL of 20 \\u00b5M LBB dye solution (LBB, Sigma-Aldrich). The dye\ncolor forms upon oxidation of the LBB molecule by Mn oxides and can be\nmeasured spectrophotometrically. The LBB stock solution was prepared by\ndissolving the powder in Milli-Q water to a concentration of 4 % and adding 40\n\\u00b5L of 10 M sodium hydroxide (NaOH) per 10 mL of stock solution. Working\nsolutions are subsequently prepared by diluting the stock solution into 1 %\nacetic acid, to 0.4 % LBB. A calibration curve was generated using KMnO4, for\nwhich equivalent absorbance for Mn(IV) is calculated based on 2.5 more Mn(IV)\nbeing required relative to Mn(VII) to oxidize the LBB. In our set-up, a 100 cm\npathlength cell (Liquid Waveguide Capillary Cell) was coupled to a Flame UV-\nVis (Ocean Optics), set up with SpectraSuite software. Using a 100 cm\npathlength cell allows for a detection limit of 0.2 nM but also requires our\nre-filtration of samples (0.2 \\u00b5m luer-lok syringe filter, Millipore)\nprior to injection into the cell to avoid particulate interference and\nclogging of the capillary cell. Samples reacted with the LBB dye overnight in\nthe dark prior to analysis, then absorbance at 623 nm was recorded.\\u00a0 If\nsample absorbance was too high, samples were diluted 10-20 times in Milli-Q\nwater.\n \nFor soluble Mn speciation analysis, an established spectrophotometric\nporphyrin addition method was employed (Madison et al., 2011; Oldham et al.,\n2017a), which uses the ligand T(4-CP)P (or \\u03b1, \\u03b2, \\u03b3,\n\\u03b4-tetrakis(4-carboxyphenyl)porphine, to 2.33 x 10-7 M final sample\ncocentration). In this method, cadmium chloride (CdCl2; to 2.4 x 10-7 M) is\nadded to form a complex with the porphyrin, in the presence of an imidazole\ntetraborate buffer (pH = 8.2). The sample is added to the mixture (diluted\n10-fold with Milli-Q water to avoid chloride interference) and any Mn(II) in\nthe sample undergoes a metal substitution reaction with the Cd over the course\nof a 1 hour reaction in a 90\\u00b0C water bath. The solution is cooled, then\nanalyzed using the 100-cm UV-Vis spectrophotometric set-up described above.\nTotal dissolved Mn is analyzed in the same way, but after the addition of 1.4\n\\u00b5M hydroxylamine hydrochloride to the sample (reacted overnight in a\nrefrigerator). The difference between the total dissolved Mn and the Mn(II)\ngives the Mn(III)-L in the sample. We note that during the heated reaction\nwith no reducing agent, it is likely that some Mn(III)-L complexes undergo a\nligand substitution reaction with the added porphyrin, and thus our method\nlikely underestimates Mn(III)-L, particularly for weaker complexes. For all\nsamples, assays were run in triplicate for both Mn(II) and Mn total, and peak\nheight for all assays was determined using a baseline subtraction performed\nusing ECD-Soft peak correction software. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 756929 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1355720 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1355720 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_0_program_manager | String | Henrietta N Edmonds |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 51517 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Coastal water biogeochemistry along the North Atlantic coast \n PI: Colleen Hansel \n Version: 2019-04-24 |
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 | 2019-04-18T19:47:26Z |
attribute | NC_GLOBAL | date_modified | String | 2019-09-13T13:00:25Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.765327.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -67.92692 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 41.18026 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 37.77692 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -67.92692 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -74.56461 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 2031.208 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 2.016 |
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/765327 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | CTD Sea-Bird |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Samples were collected using a 12-bottle trace metal clean CTD (Conductivity, Temperature and Depth) rosette |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 765588 |
attribute | NC_GLOBAL | instruments_0_description | String | Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics. |
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 Sea-Bird |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 447 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | CTD Seabird |
attribute | NC_GLOBAL | instruments_1_acronym | String | Fluorometer |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | Briefly, samples were extracted in 90% acetone in the dark (4C, 9 hr) and measured using an 10AU fluorometer (Turner). |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 765589 |
attribute | NC_GLOBAL | instruments_1_description | String | A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ. |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/113/ |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Fluorometer |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 484 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | 10AU fluorometer (Turner) |
attribute | NC_GLOBAL | instruments_2_acronym | String | TOC analyzer |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_description | String | Filtered water samples for total dissolved organic carbon were pipetted into acid-washed combusted glass vials, acidified to pH = 2 with 12 M hydrochloric acid, and stored at 4 °C until analysis on a Shimadzu TOC-5050A total organic carbon analyzer. |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 765592 |
attribute | NC_GLOBAL | instruments_2_description | String | A unit that accurately determines the carbon concentrations of organic compounds typically by detecting and measuring its combustion product (CO2). See description document at: http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/bs116.pdf |
attribute | NC_GLOBAL | instruments_2_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB04/ |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Total Organic Carbon Analyzer |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 652 |
attribute | NC_GLOBAL | instruments_2_supplied_name | String | Shimadzu TOC-5050A total organic carbon analyzer |
attribute | NC_GLOBAL | instruments_3_acronym | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_description | String | Bacteria and group-specific phytoplankton counts were conducted on a Guava EasyCyte HT flow cytometer (Millipore). |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_nid | String | 765591 |
attribute | NC_GLOBAL | instruments_3_description | String | Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells.\n(from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm) |
attribute | NC_GLOBAL | instruments_3_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB37/ |
attribute | NC_GLOBAL | instruments_3_instrument_name | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_3_instrument_nid | String | 660 |
attribute | NC_GLOBAL | instruments_3_supplied_name | String | Guava EasyCyte HT flow cytometer (Millipore) |
attribute | NC_GLOBAL | instruments_4_dataset_instrument_description | String | Concentrations of nitrate + nitrite were measured by chemiluminescence after reduction in a hot acidic vanadyl sulfate solution on a NOx analyzer (Braman and Hendrix, 1989) |
attribute | NC_GLOBAL | instruments_4_dataset_instrument_nid | String | 765590 |
attribute | NC_GLOBAL | instruments_4_description | String | The chemiluminescence method for gas analysis of oxides of nitrogen relies on the measurement of light produced by the gas-phase titration of nitric oxide and ozone. A chemiluminescence analyzer can measure the concentration of NO/NO2/NOX.\n\nOne example is the Teledyne Model T200: http://www.teledyne-api.com/products/T200.asp |
attribute | NC_GLOBAL | instruments_4_instrument_name | String | Chemiluminescence NOx Analyzer |
attribute | NC_GLOBAL | instruments_4_instrument_nid | String | 542895 |
attribute | NC_GLOBAL | instruments_4_supplied_name | String | NOx analyzer |
attribute | NC_GLOBAL | keywords | String | active, ammonia, ammonium, available, bacteria, Bacteria_sd, bco, bco-dmo, beam, Beam_Transmission, biological, chemical, chemistry, chloro, Chloro_sd, chlorophyll, commerce, concentration, concentration_of_chlorophyll_in_sea_water, data, dataset, datetime, day, density, department, depth, dMn_II, dMn_II_sd, dMn_III_L, dMn_III_L_sd, dMn_T, dMn_T_sd, dmo, doc, DOC_sd, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, Earth Science > Oceans > Salinity/Density > Salinity, erddap, florescence, gross, Gross_H2O2, Gross_H2O2_sd, Hg_0, Hg_0_sd, iii, iso, latitude, longitude, management, MnOx, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_nitrite_in_sea_water, month, n02, nanoeuks, Nanoeuks_sd, net, Net_H2O2, Net_H2O2_sd, nh4, nitrate, nitrite, NO2, no3, O2, ocean, oceanography, oceans, office, optics, oxygen, PAR, part, Part_O2, Part_O2_sd, photon, photosynthetic, photosynthetically, picoeuks, Picoeuks_sd, practical, preliminary, radiance, radiation, salinity, science, sea, sea_water_practical_salinity, seawater, sheet, station, synechococcus, Synechococcus_sd, Temp, temperature, time, time2, tot, Tot_O2, Tot_O2_sd, total, Total_dHg, Total_dHg_sd, transmission, water, year |
attribute | NC_GLOBAL | keywords_vocabulary | String | GCMD Science Keywords |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/765327/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/765327 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 41.18026 |
attribute | NC_GLOBAL | param_mapping | String | {'765327': {'lat': 'flag - latitude', 'Depth': 'flag - depth', 'long': 'flag - longitude', 'ISO_datetime_UTC': 'flag - time'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/765327/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | WHOI |
attribute | NC_GLOBAL | people_0_person_name | String | Colleen Hansel |
attribute | NC_GLOBAL | people_0_person_nid | String | 756932 |
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 Cruz |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | UC Santa Cruz |
attribute | NC_GLOBAL | people_1_person_name | String | Carl Lamborg |
attribute | NC_GLOBAL | people_1_person_nid | String | 50968 |
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 | Mathew Biddle |
attribute | NC_GLOBAL | people_2_person_nid | String | 708682 |
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 | ROS in Hg Cycling |
attribute | NC_GLOBAL | projects_0_acronym | String | ROS in Hg Cycling |
attribute | NC_GLOBAL | projects_0_description | String | NSF Abstract:\nMercury (Hg) is a toxic trace element that bioaccumulates into marine food webs, imposing a health threat to humans through the consumption of seafood. However, controls on the cycling of Hg in the ocean are poorly understood. Most research to date has focused on sun-lit and/or Hg-laden environments, where light-induced chemical and mercury resistance reactions, respectively, have been identified as dominant pathways for Hg cycling. The paradigm that dark Hg reactions are irrelevant is fading and it is now apparent that dark redox reactions, both reduction and oxidation, are important in the cycling of Hg. In this study, researchers at the Woods Hole Oceanographic Institution and Colorado School of Mines will obtain a better understanding of the biogeochemical reactions responsible for dark redox transformations of mercury (Hg) in marine systems. The researchers will explore the relationship between microbial activity, reactive oxygen species, and Hg speciation in a series of laboratory- and field-based investigations to obtain a mechanistic understanding of dark Hg cycling. By identifying new controls on the redox cycling of Hg in the ocean, this research will help inform global and ecosystem models used to predict Hg bioavailability.\nBroader Impacts: The proponents plan to educate high school teachers from Boston Green Academy in South Boston on mercury biogeochemistry and have one teacher participate in the summer research cruises, as well as develop science curricula to engage the underrepresented students at the school in science. One postdoc and one graduate student from Woods Hole Oceanographic Institution and one graduate student from the Colorado School of Mines would be supported and trained as part of this project. It is anticipated that undergraduate students would have the opportunity to participate in the study as summer interns. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2019-07 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Coastal North Atlantic |
attribute | NC_GLOBAL | projects_0_name | String | Collaborative Research: Defining the Role of Biologically Produced Reactive Oxygen Species in Dark Mercury Cycling |
attribute | NC_GLOBAL | projects_0_project_nid | String | 756930 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2014-02 |
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 | 37.77692 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | subsetVariables | String | Year,Month |
attribute | NC_GLOBAL | summary | String | Samples were collected from four water column sites along the Northeast Coast of the United States in August 2017 aboard the R/V Endeavor. Samples were collected using a 12-bottle trace metal clean CTD (Conductivity, Temperature and Depth) rosette, and were kept clean by using acid washed tubing to collect water directly into acid-washed 1 L PTFE bottles. Sample depths were chosen based on the water column profile obtained from a separate 24-bottle CTD rosette system equipped with Seabird software, which also provided the temperature, dissolved oxygen, salinity, PAR, beam transmission and fluorescence profiles reported here. |
attribute | NC_GLOBAL | time_coverage_end | String | 2017-08-28T18:26:40Z |
attribute | NC_GLOBAL | time_coverage_start | String | 2017-08-20T20:06:38Z |
attribute | NC_GLOBAL | title | String | [TORCH-II] - Coastal water biogeochemistry collected aboard the R/V Endeavor along the North Atlantic coast from 2017-08-20 to 2017-08-28 (Collaborative Research: Defining the Role of Biologically Produced Reactive Oxygen Species in Dark Mercury Cycling) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -74.56461 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | sheet | String | ||
attribute | sheet | bcodmo_name | String | unknown |
attribute | sheet | description | String | Name of the sheet from the original data file |
attribute | sheet | long_name | String | Sheet |
attribute | sheet | units | String | unitless |
variable | Station | byte | ||
attribute | Station | _FillValue | byte | 127 |
attribute | Station | actual_range | byte | 1, 6 |
attribute | Station | bcodmo_name | String | sta |
attribute | Station | description | String | station identifier |
attribute | Station | long_name | String | Station |
attribute | Station | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 37.77692, 41.18026 |
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 | station latitude with north 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/ |
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 | -74.56461, -67.92692 |
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 | station longitude with east 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/ |
attribute | longitude | source_name | String | long |
attribute | longitude | standard_name | String | longitude |
attribute | longitude | units | String | degrees_east |
variable | Year | short | ||
attribute | Year | _FillValue | short | 32767 |
attribute | Year | actual_range | short | 2017, 2017 |
attribute | Year | bcodmo_name | String | year |
attribute | Year | description | String | year of collection in yyyy format |
attribute | Year | long_name | String | Year |
attribute | Year | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/ |
attribute | Year | units | String | unitless |
variable | Month | byte | ||
attribute | Month | _FillValue | byte | 127 |
attribute | Month | actual_range | byte | 8, 8 |
attribute | Month | bcodmo_name | String | month |
attribute | Month | description | String | month of collection in mm format |
attribute | Month | long_name | String | Month |
attribute | Month | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/ |
attribute | Month | units | String | unitless |
variable | Day | byte | ||
attribute | Day | _FillValue | byte | 127 |
attribute | Day | actual_range | byte | 20, 28 |
attribute | Day | bcodmo_name | String | day |
attribute | Day | description | String | day of collection in dd format |
attribute | Day | long_name | String | Day |
attribute | Day | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/ |
attribute | Day | units | String | unitless |
variable | time2 | String | ||
attribute | time2 | bcodmo_name | String | time |
attribute | time2 | description | String | time of collection in HH:MM format |
attribute | time2 | long_name | String | Time |
attribute | time2 | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/ |
attribute | time2 | units | String | unitless |
variable | time | double | ||
attribute | time | _CoordinateAxisType | String | Time |
attribute | time | actual_range | double | 1.503259598E9, 1.5039448E9 |
attribute | time | axis | String | T |
attribute | time | bcodmo_name | String | ISO_DateTime_UTC |
attribute | time | description | String | date and time following ISO format |
attribute | time | ioos_category | String | Time |
attribute | time | long_name | String | ISO Datetime 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 |
variable | depth | double | ||
attribute | depth | _CoordinateAxisType | String | Height |
attribute | depth | _CoordinateZisPositive | String | down |
attribute | depth | _FillValue | double | NaN |
attribute | depth | actual_range | double | 2.016, 2031.208 |
attribute | depth | axis | String | Z |
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 | water depth |
attribute | depth | ioos_category | String | Location |
attribute | depth | long_name | String | 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 | Temp | float | ||
attribute | Temp | _FillValue | float | NaN |
attribute | Temp | actual_range | float | 3.4031, 25.7564 |
attribute | Temp | bcodmo_name | String | temperature |
attribute | Temp | description | String | Water temperature from CTD |
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 Celsius (C) |
variable | Florescence | float | ||
attribute | Florescence | _FillValue | float | NaN |
attribute | Florescence | actual_range | float | 0.0462, 3.4339 |
attribute | Florescence | bcodmo_name | String | fluorescence |
attribute | Florescence | description | String | water flourescence from CTD |
attribute | Florescence | long_name | String | Florescence |
attribute | Florescence | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/ |
attribute | Florescence | units | String | miligrams per meter cubed (mg/m3) |
variable | Chlorophyll | double | ||
attribute | Chlorophyll | _FillValue | double | NaN |
attribute | Chlorophyll | actual_range | double | 0.0, 3.175071375 |
attribute | Chlorophyll | bcodmo_name | String | chlorophyll a |
attribute | Chlorophyll | colorBarMaximum | double | 30.0 |
attribute | Chlorophyll | colorBarMinimum | double | 0.03 |
attribute | Chlorophyll | colorBarScale | String | Log |
attribute | Chlorophyll | description | String | Chlorophyll a concentration |
attribute | Chlorophyll | long_name | String | Concentration Of Chlorophyll In Sea Water |
attribute | Chlorophyll | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/ |
attribute | Chlorophyll | units | String | micrograms per liter (ug/L) |
variable | Chloro_sd | double | ||
attribute | Chloro_sd | _FillValue | double | NaN |
attribute | Chloro_sd | actual_range | double | 3.8459253727671276E-16, 0.06770068202943032 |
attribute | Chloro_sd | bcodmo_name | String | chlorophyll a |
attribute | Chloro_sd | colorBarMaximum | double | 50.0 |
attribute | Chloro_sd | colorBarMinimum | double | 0.0 |
attribute | Chloro_sd | description | String | Chlorophyll a concentration standard deviation |
attribute | Chloro_sd | long_name | String | Chloro Sd |
attribute | Chloro_sd | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/ |
attribute | Chloro_sd | units | String | micrograms per liter (ug/L) |
variable | PAR | float | ||
attribute | PAR | _FillValue | float | NaN |
attribute | PAR | actual_range | float | -1.12E-4, 2012.6 |
attribute | PAR | bcodmo_name | String | PAR |
attribute | PAR | colorBarMaximum | double | 70.0 |
attribute | PAR | colorBarMinimum | double | 0.0 |
attribute | PAR | description | String | Photosynthetically active radiation (CTD) |
attribute | PAR | long_name | String | Downwelling Photosynthetic Photon Radiance In Sea Water |
attribute | PAR | units | String | microeinteins per meter squared second (microE/m2s) |
variable | Beam_Transmission | float | ||
attribute | Beam_Transmission | _FillValue | float | NaN |
attribute | Beam_Transmission | actual_range | float | 71.9022, 86.8471 |
attribute | Beam_Transmission | bcodmo_name | String | transmission |
attribute | Beam_Transmission | description | String | Beam transmission (CTD) |
attribute | Beam_Transmission | long_name | String | Beam Transmission |
attribute | Beam_Transmission | units | String | percent |
variable | Salinity | float | ||
attribute | Salinity | _FillValue | float | NaN |
attribute | Salinity | actual_range | float | 31.3729, 36.0649 |
attribute | Salinity | bcodmo_name | String | sal |
attribute | Salinity | colorBarMaximum | double | 37.0 |
attribute | Salinity | colorBarMinimum | double | 32.0 |
attribute | Salinity | description | String | Water salinity (CTD) |
attribute | Salinity | long_name | String | Sea Water Practical Salinity |
attribute | Salinity | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/ |
attribute | Salinity | units | String | PSU |
variable | O2 | float | ||
attribute | O2 | _FillValue | float | NaN |
attribute | O2 | actual_range | float | 2.9535, 6.5497 |
attribute | O2 | bcodmo_name | String | dissolved Oxygen |
attribute | O2 | description | String | Water oxygen concentration |
attribute | O2 | long_name | String | O2 |
attribute | O2 | units | String | mililiters per liter (mL/L) |
variable | NO2 | double | ||
attribute | NO2 | _FillValue | double | NaN |
attribute | NO2 | actual_range | double | 0.0, 0.5662127 |
attribute | NO2 | bcodmo_name | String | NO2 |
attribute | NO2 | colorBarMaximum | double | 1.0 |
attribute | NO2 | colorBarMinimum | double | 0.0 |
attribute | NO2 | description | String | Water nitrite concentration |
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 | micromole (uM) |
variable | NH4 | double | ||
attribute | NH4 | _FillValue | double | NaN |
attribute | NH4 | actual_range | double | 0.0, 2.6446 |
attribute | NH4 | bcodmo_name | String | Ammonium |
attribute | NH4 | colorBarMaximum | double | 5.0 |
attribute | NH4 | colorBarMinimum | double | 0.0 |
attribute | NH4 | description | String | Water ammonium concentration |
attribute | NH4 | long_name | String | Mole Concentration Of Ammonium In Sea Water |
attribute | NH4 | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/ |
attribute | NH4 | units | String | micromole (uM) |
variable | NO3 | double | ||
attribute | NO3 | _FillValue | double | NaN |
attribute | NO3 | actual_range | double | 0.0, 6.746595499 |
attribute | NO3 | bcodmo_name | String | NO3 |
attribute | NO3 | colorBarMaximum | double | 50.0 |
attribute | NO3 | colorBarMinimum | double | 0.0 |
attribute | NO3 | description | String | Water 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 (uM) |
variable | Nanoeuks | String | ||
attribute | Nanoeuks | bcodmo_name | String | abundance |
attribute | Nanoeuks | description | String | Nanoeukaryote abundance |
attribute | Nanoeuks | long_name | String | Nanoeuks |
attribute | Nanoeuks | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Nanoeuks | units | String | cells per mililiter (cells/mL) |
variable | Nanoeuks_sd | String | ||
attribute | Nanoeuks_sd | bcodmo_name | String | abundance |
attribute | Nanoeuks_sd | description | String | Nanoeukaryote abundance standard deviation |
attribute | Nanoeuks_sd | long_name | String | Nanoeuks Sd |
attribute | Nanoeuks_sd | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Nanoeuks_sd | units | String | cells per mililiter (cells/mL) |
variable | Picoeuks | String | ||
attribute | Picoeuks | bcodmo_name | String | abundance |
attribute | Picoeuks | description | String | Picoeukayrote abundance |
attribute | Picoeuks | long_name | String | Picoeuks |
attribute | Picoeuks | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Picoeuks | units | String | cells per mililiter (cells/mL) |
variable | Picoeuks_sd | String | ||
attribute | Picoeuks_sd | bcodmo_name | String | abundance |
attribute | Picoeuks_sd | description | String | Picoeukayrote abundance standard deviation |
attribute | Picoeuks_sd | long_name | String | Picoeuks Sd |
attribute | Picoeuks_sd | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Picoeuks_sd | units | String | cells per mililiter (cells/mL) |
variable | Synechococcus | double | ||
attribute | Synechococcus | _FillValue | double | NaN |
attribute | Synechococcus | actual_range | double | 216.89821638477133, 359209.4188332472 |
attribute | Synechococcus | bcodmo_name | String | abundance |
attribute | Synechococcus | description | String | Synechococcus abundance |
attribute | Synechococcus | long_name | String | Synechococcus |
attribute | Synechococcus | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Synechococcus | units | String | cells per mililiter (cells/mL) |
variable | Synechococcus_sd | String | ||
attribute | Synechococcus_sd | bcodmo_name | String | abundance |
attribute | Synechococcus_sd | description | String | Synechococcus abundance standard deviation |
attribute | Synechococcus_sd | long_name | String | Synechococcus Sd |
attribute | Synechococcus_sd | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Synechococcus_sd | units | String | cells per mililiter (cells/mL) |
variable | Bacteria | double | ||
attribute | Bacteria | _FillValue | double | NaN |
attribute | Bacteria | actual_range | double | 41416.94360106493, 4188788.3068036768 |
attribute | Bacteria | bcodmo_name | String | abundance |
attribute | Bacteria | description | String | Bacteria concentration |
attribute | Bacteria | long_name | String | Bacteria |
attribute | Bacteria | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Bacteria | units | String | cells per mililiter (cells/mL) |
variable | Bacteria_sd | double | ||
attribute | Bacteria_sd | _FillValue | double | NaN |
attribute | Bacteria_sd | actual_range | double | 11174.976795122218, 141799.111136533 |
attribute | Bacteria_sd | bcodmo_name | String | abundance |
attribute | Bacteria_sd | colorBarMaximum | double | 50.0 |
attribute | Bacteria_sd | colorBarMinimum | double | 0.0 |
attribute | Bacteria_sd | description | String | Bacteria concentration standard deviation |
attribute | Bacteria_sd | long_name | String | Bacteria Sd |
attribute | Bacteria_sd | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Bacteria_sd | units | String | cells per mililiter (cells/mL) |
variable | DOC | double | ||
attribute | DOC | _FillValue | double | NaN |
attribute | DOC | actual_range | double | 0.5609000000000001, 1.4446666666666665 |
attribute | DOC | bcodmo_name | String | DOC |
attribute | DOC | description | String | Dissolved organic carbon |
attribute | DOC | long_name | String | DOC |
attribute | DOC | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/ |
attribute | DOC | units | String | miligrams per liter (mg/L) |
variable | DOC_sd | double | ||
attribute | DOC_sd | _FillValue | double | NaN |
attribute | DOC_sd | actual_range | double | 0.018193405398660236, 0.17077330978034413 |
attribute | DOC_sd | bcodmo_name | String | DOC |
attribute | DOC_sd | colorBarMaximum | double | 50.0 |
attribute | DOC_sd | colorBarMinimum | double | 0.0 |
attribute | DOC_sd | description | String | Dissolved organic carbon standard deviation |
attribute | DOC_sd | long_name | String | DOC Sd |
attribute | DOC_sd | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/ |
attribute | DOC_sd | units | String | miligrams per liter (mg/L) |
variable | Tot_O2 | double | ||
attribute | Tot_O2 | _FillValue | double | NaN |
attribute | Tot_O2 | actual_range | double | 10.60227148330597, 2362.1644493177378 |
attribute | Tot_O2 | bcodmo_name | String | unknown |
attribute | Tot_O2 | description | String | Total superoxide |
attribute | Tot_O2 | long_name | String | Tot O2 |
attribute | Tot_O2 | units | String | picomole (pM) |
variable | Tot_O2_sd | double | ||
attribute | Tot_O2_sd | _FillValue | double | NaN |
attribute | Tot_O2_sd | actual_range | double | 0.0, 415.79304171248594 |
attribute | Tot_O2_sd | bcodmo_name | String | unknown |
attribute | Tot_O2_sd | colorBarMaximum | double | 50.0 |
attribute | Tot_O2_sd | colorBarMinimum | double | 0.0 |
attribute | Tot_O2_sd | description | String | Total superoxide standard deviation |
attribute | Tot_O2_sd | long_name | String | Tot O2 Sd |
attribute | Tot_O2_sd | units | String | picomole (pM) |
variable | Part_O2 | double | ||
attribute | Part_O2 | _FillValue | double | NaN |
attribute | Part_O2 | actual_range | double | 0.8597278761411509, 2462.811999999999 |
attribute | Part_O2 | bcodmo_name | String | unknown |
attribute | Part_O2 | description | String | Particle associated superoxide |
attribute | Part_O2 | long_name | String | Part O2 |
attribute | Part_O2 | units | String | picomole (pM) |
variable | Part_O2_sd | double | ||
attribute | Part_O2_sd | _FillValue | double | NaN |
attribute | Part_O2_sd | actual_range | double | 0.0, 415.7930417124871 |
attribute | Part_O2_sd | bcodmo_name | String | unknown |
attribute | Part_O2_sd | colorBarMaximum | double | 50.0 |
attribute | Part_O2_sd | colorBarMinimum | double | 0.0 |
attribute | Part_O2_sd | description | String | Particle associated superoxide standard deviation |
attribute | Part_O2_sd | long_name | String | Part O2 Sd |
attribute | Part_O2_sd | units | String | picomole (pM) |
variable | Net_H2O2 | double | ||
attribute | Net_H2O2 | _FillValue | double | NaN |
attribute | Net_H2O2 | actual_range | double | 4.379275135171688, 257.0328945421757 |
attribute | Net_H2O2 | bcodmo_name | String | Hydrogen Peroxide |
attribute | Net_H2O2 | description | String | Net hydrogen peroxide |
attribute | Net_H2O2 | long_name | String | Net H2 O2 |
attribute | Net_H2O2 | units | String | nanomole (nM) |
variable | Net_H2O2_sd | double | ||
attribute | Net_H2O2_sd | _FillValue | double | NaN |
attribute | Net_H2O2_sd | actual_range | double | 1.625384364522924, 204.67434195024987 |
attribute | Net_H2O2_sd | bcodmo_name | String | Hydrogen Peroxide |
attribute | Net_H2O2_sd | colorBarMaximum | double | 50.0 |
attribute | Net_H2O2_sd | colorBarMinimum | double | 0.0 |
attribute | Net_H2O2_sd | description | String | Net hydrogen peroxide standard deviation |
attribute | Net_H2O2_sd | long_name | String | Net H2 O2 Sd |
attribute | Net_H2O2_sd | units | String | nanomole (nM) |
variable | Gross_H2O2 | double | ||
attribute | Gross_H2O2 | _FillValue | double | NaN |
attribute | Gross_H2O2 | actual_range | double | 9.384161003939033, 236.07968842897944 |
attribute | Gross_H2O2 | bcodmo_name | String | Hydrogen Peroxide |
attribute | Gross_H2O2 | description | String | Gross hydrogen peroxide |
attribute | Gross_H2O2 | long_name | String | Gross H2 O2 |
attribute | Gross_H2O2 | units | String | nanomole (nM) |
variable | Gross_H2O2_sd | double | ||
attribute | Gross_H2O2_sd | _FillValue | double | NaN |
attribute | Gross_H2O2_sd | actual_range | double | 0.002632328618744691, 88.36608183688755 |
attribute | Gross_H2O2_sd | bcodmo_name | String | Hydrogen Peroxide |
attribute | Gross_H2O2_sd | colorBarMaximum | double | 50.0 |
attribute | Gross_H2O2_sd | colorBarMinimum | double | 0.0 |
attribute | Gross_H2O2_sd | description | String | Gross hydrogen peroxide standard deviation |
attribute | Gross_H2O2_sd | long_name | String | Gross H2 O2 Sd |
attribute | Gross_H2O2_sd | units | String | nanomole (nM) |
variable | Total_dHg | double | ||
attribute | Total_dHg | _FillValue | double | NaN |
attribute | Total_dHg | actual_range | double | 0.41351546121593363, 2.467451519129822 |
attribute | Total_dHg | bcodmo_name | String | trace_metal_conc |
attribute | Total_dHg | description | String | Total dissolved Hg |
attribute | Total_dHg | long_name | String | Total D Hg |
attribute | Total_dHg | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/C035/ |
attribute | Total_dHg | units | String | picomole (pM) |
variable | Total_dHg_sd | double | ||
attribute | Total_dHg_sd | _FillValue | double | NaN |
attribute | Total_dHg_sd | actual_range | double | 0.001644542107712444, 1.188640589545043 |
attribute | Total_dHg_sd | bcodmo_name | String | trace_metal_conc |
attribute | Total_dHg_sd | colorBarMaximum | double | 50.0 |
attribute | Total_dHg_sd | colorBarMinimum | double | 0.0 |
attribute | Total_dHg_sd | description | String | Total dissolved Hg standard deviation |
attribute | Total_dHg_sd | long_name | String | Total D Hg Sd |
attribute | Total_dHg_sd | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/C035/ |
attribute | Total_dHg_sd | units | String | picomole (pM) |
variable | Hg_0 | double | ||
attribute | Hg_0 | _FillValue | double | NaN |
attribute | Hg_0 | actual_range | double | 0.05494494055154578, 0.30003286883856095 |
attribute | Hg_0 | bcodmo_name | String | trace_metal_conc |
attribute | Hg_0 | description | String | Elemental Hg |
attribute | Hg_0 | long_name | String | HG 0 |
attribute | Hg_0 | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/C035/ |
attribute | Hg_0 | units | String | picomole (pM) |
variable | Hg_0_sd | double | ||
attribute | Hg_0_sd | _FillValue | double | NaN |
attribute | Hg_0_sd | actual_range | double | 2.9741736172874837E-4, 0.07440280528199449 |
attribute | Hg_0_sd | bcodmo_name | String | trace_metal_conc |
attribute | Hg_0_sd | colorBarMaximum | double | 50.0 |
attribute | Hg_0_sd | colorBarMinimum | double | 0.0 |
attribute | Hg_0_sd | description | String | Elemental Hg standard deviation |
attribute | Hg_0_sd | long_name | String | HG 0 SD |
attribute | Hg_0_sd | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/C035/ |
attribute | Hg_0_sd | units | String | picomole (pM) |
variable | dMn_II | float | ||
attribute | dMn_II | _FillValue | float | NaN |
attribute | dMn_II | actual_range | float | 0.0, 40.9 |
attribute | dMn_II | bcodmo_name | String | Mn |
attribute | dMn_II | description | String | Dissolved Mn(II) |
attribute | dMn_II | long_name | String | D Mn II |
attribute | dMn_II | units | String | nanomole (nM) |
variable | dMn_II_sd | float | ||
attribute | dMn_II_sd | _FillValue | float | NaN |
attribute | dMn_II_sd | actual_range | float | 0.0, 7.55 |
attribute | dMn_II_sd | bcodmo_name | String | Mn |
attribute | dMn_II_sd | colorBarMaximum | double | 50.0 |
attribute | dMn_II_sd | colorBarMinimum | double | 0.0 |
attribute | dMn_II_sd | description | String | Dissolved Mn(II) standard deviation |
attribute | dMn_II_sd | long_name | String | D Mn II Sd |
attribute | dMn_II_sd | units | String | nanomole (nM) |
variable | dMn_T | float | ||
attribute | dMn_T | _FillValue | float | NaN |
attribute | dMn_T | actual_range | float | 6.19, 152.7 |
attribute | dMn_T | bcodmo_name | String | Mn |
attribute | dMn_T | description | String | Total dissolved Mn |
attribute | dMn_T | long_name | String | D MN T |
attribute | dMn_T | units | String | nanomole (nM) |
variable | dMn_T_sd | float | ||
attribute | dMn_T_sd | _FillValue | float | NaN |
attribute | dMn_T_sd | actual_range | float | 0.08, 18.73 |
attribute | dMn_T_sd | bcodmo_name | String | Mn |
attribute | dMn_T_sd | colorBarMaximum | double | 50.0 |
attribute | dMn_T_sd | colorBarMinimum | double | 0.0 |
attribute | dMn_T_sd | description | String | Total dissolved Mn standard deviation |
attribute | dMn_T_sd | long_name | String | D MN T SD |
attribute | dMn_T_sd | units | String | nanomole (nM) |
variable | dMn_III_L | float | ||
attribute | dMn_III_L | _FillValue | float | NaN |
attribute | dMn_III_L | actual_range | float | 0.0, 147.49 |
attribute | dMn_III_L | bcodmo_name | String | Mn |
attribute | dMn_III_L | description | String | Dissolved Mn(III)-L |
attribute | dMn_III_L | long_name | String | D Mn III L |
attribute | dMn_III_L | units | String | nanomole (nM) |
variable | dMn_III_L_sd | float | ||
attribute | dMn_III_L_sd | _FillValue | float | NaN |
attribute | dMn_III_L_sd | actual_range | float | 0.16, 13.31 |
attribute | dMn_III_L_sd | bcodmo_name | String | Mn |
attribute | dMn_III_L_sd | colorBarMaximum | double | 50.0 |
attribute | dMn_III_L_sd | colorBarMinimum | double | 0.0 |
attribute | dMn_III_L_sd | description | String | Dissolved Mn(III)-L standard deviation |
attribute | dMn_III_L_sd | long_name | String | D Mn III L Sd |
attribute | dMn_III_L_sd | units | String | nanomole (nM) |
variable | MnOx | float | ||
attribute | MnOx | _FillValue | float | NaN |
attribute | MnOx | actual_range | float | 0.02, 3.85 |
attribute | MnOx | bcodmo_name | String | Mn |
attribute | MnOx | description | String | Mn oxides |
attribute | MnOx | long_name | String | Mn Ox |
attribute | MnOx | units | String | nanomole |