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 Sample collection  \n Surface water samples were collected from approximately 1 m depth using a\nhand deployed Niskin bottle. Samples for dissolved constituents (dissolved\norganic carbon, colored dissolved organic matter, and nutrient analyses) were\nfiltered on site through 0.2 \\uf06dm Polycap filters within minutes of\ncollection and then transported to the laboratory for further processing. For\ncell counts by flow cytometry, samples were transported to the laboratory and\nfixed using 25% glutaraldehyde. For additional microbial analyses (microbial\nbiomass collection for DNA and RNA extractions and bacterial production) were\nreturned to the laboratory, which was within 10 minutes\\u2019 drive of the\nfield site. Salinity was measured for discrete samples collected in the field\nusing a handheld multiparameter probe (YSI, Pro2030).\\u00a0 Depth was recorded\nusing a YSI 600OMS V2 Optical Monitoring Sonde deployed on the creek\nbed.\\u00a0\n \nMicrobial community analysis sample collection  \n Planktonic microbial cells from surface water samples were collected by\nfiltration. Water was pre-filtered through a GF/D glass fiber filter (~2.7\n\\u03bcM pore size, Whatman, GE Healthcare Life Sciences, Marlborough, MA); 500\nmL of the filtrate was passed through a 0.22 \\u03bcM pore size, 47 mm diameter\nfilter (Millipore, Burlington, MA). Filtration was completed within 30 min of\nsample collection. After filtration all filters were placed in cryovials and\nflash frozen in liquid nitrogen. The samples were stored at -80 C until\nprocessing.\\u00a0\n \nMicrobial community analysis sample processing  \n Nucleic acids were extracted from samples following standard methodology.\nBriefly, for DNA the filters were thawed and placed in a 2 mL tube with 0.3 g\nglass and zirconia beads (0.2 g glass and 0.1 g zirconia), 0.75 mL CTAB\nextraction buffer, 0.75 mL phenol:chloroform:isoamyl alcohol (25:24:1, pH 8),\ninternal standards, proteinase K, 10% SDS, and lysozyme for DNA extractions.\nSamples were vortexed for 10 min to lyse the cells. For RNA extraction, sample\ntubes were centrifuged for 10 min at 10,000 rpm and 4\\u00b0 C. The lysates\nwere transferred to a sterile 1.5 mL microcentrifuge tube and mixed with 0.75\nmL chloroform:isoamyl alcohol (24:1). The aqueous phase was added to a sterile\n1.5 mL microcentrifuge with MgCl2, sodium acetate, and isopropanol. This\nsolution was incubated at -80\\u00b0 C for 1.5 hours and then centrifuged at\n4\\u00b0 C for 45 min at 10,000 rpm. The supernatant was discarded, and the RNA\nwas washed with 70% EtOH twice. Following RNA extraction Turbo DNase was used\nto remove residual DNA. For metagenomic samples the lysate was centrifuged at\n5,000 rpm for 5 min and washed twice with 0.5 mL of chloroform:isoamyl alcohol\nby centrifugation at 15,000 rpm for 5 min. The upper aqueous phase was\nincubated with isopropanol at room temperature for 2 hrs. The DNA was\nprecipitated by centrifugation at 10,000 rpm for an hour and washed with 70%\nEtOH twice.\\u00a0\n \nAll sequencing, assembly, and annotation was performed by the DOE Joint Genome\nInstitute (JGI). JGI generated 16S rRNA libraries, metagenomes, and\nmetatranscriptomes. Plate-based DNA library preparation for Illumina\nsequencing was performed on the PerkinElmer Sciclone NGS robotic liquid\nhandling system using Kapa Biosystems library preparation kit. DNA was sheared\nto 300 base pairs (bp) using the Covaris LE220 focused-ultrasonicator and size\nselected using SPRI beads (Beckman Coulter). The fragments were treated with\nend-repair, A-tailing, and ligation of Illumina compatible adapters (IDT, Inc)\ncontaining a unique molecular index barcode for each sample library. qPCR was\nused to determine the concentration of the libraries and were sequenced on the\nIllumina HiSeq-2500 to yield 150 bp paired-end reads at the DOE Joint Genome\nInstitute. Quality filtered metagenomic sequences for each sample were\nassembled with metaSPAdes (version 3.10.1; and all contigs >200 bp were\nuploaded and annotated by the Integrated Microbial Genomes (IMG) pipeline. For\nmetatranscriptomes, a plate-based RNA sample preparation was performed on the\nPerkinElmer Sciclone NGS robotic liquid handling system using the Illumina\nRibo-Zero rRNA Removal Kit (bacteria) and the TruSeq Stranded Total RNA HT\nsample prep kit following the protocol outlined by Illumina. Total RNA\nstarting material consisted of 100 ng per sample and included 10 cycles of PCR\nfor library amplification. Illumina sequencing was performed as described for\nmetagenome samples.\\u00a0\n \nQuality filtered metatranscriptomic sequences for each sample were assembled\nwith Megahit (version 1.10.6), and all contigs > 200 bp were annotated as\ndescribed for the metagenome samples. Datasets which had assemblies for which\nthe N50 was greater than three standard deviations from mean were not included\nin further analyses (Supplemental Tables 1 and 2) Resultant assemblies were\ncombined with coding sequences (CDS) using bedtools2 (version 2.27.0) in order\nto generate an assembly with CDS embedded. Quality controlled raw reads were\nmapped to the assembly with gene features using bowtie2 (version 2.2.9).\nCoverage information on the number of reads mapping to each contig was\ngenerated using pileup in the BBmap suite of tools. The coverage information\nwas used to normalize read counts to account for the length of reads and the\nlength of CDS.\\u00a0 Read counts within KEGG ortholog groups (KO) were summed\nand normalized as read counts per million mapped to KO-annotated contigs\n(genes per million [GPM], transcripts per million [TPM]). GPM and TPM were\nalso used in taxonomic analyses.
attribute NC_GLOBAL awards_0_award_nid String 554156
attribute NC_GLOBAL awards_0_award_number String OCE-1357242
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1357242 (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 Michael E. Sieracki
attribute NC_GLOBAL awards_0_program_manager_nid String 50446
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Sample information for metagenomic, metatranscriptomics and 16S rRNA gene sequence data from diel sampling at Groves Creek Marsh, Skidaway Island, GA during July 2014 \n  PI: Alison Buchan \n  Version: 2019-03-18
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 date_created String 2019-03-18T15:41:53Z
attribute NC_GLOBAL date_modified String 2019-03-19T15:27:25Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.762443.1
attribute NC_GLOBAL Easternmost_Easting double -81.028
attribute NC_GLOBAL geospatial_lat_max double 31.972
attribute NC_GLOBAL geospatial_lat_min double 31.972
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double -81.028
attribute NC_GLOBAL geospatial_lon_min double -81.028
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL geospatial_vertical_max double 4.5
attribute NC_GLOBAL geospatial_vertical_min double 1.8
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/762443 (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 Surface water samples were collected from approximately 1 m depth using a hand deployed Niskin bottle.
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 762448
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 Nutrient Autoanalyzer
attribute NC_GLOBAL instruments_1_dataset_instrument_description String Samples were analyzed for NOx, NH4, PO4 and SiO2 using a Lachat Quickchem FIA+ 8000 nutrient analyzer, following established colorimetric protocols.
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 762453
attribute NC_GLOBAL instruments_1_description String Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified.  In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB04/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Nutrient Autoanalyzer
attribute NC_GLOBAL instruments_1_instrument_nid String 558
attribute NC_GLOBAL instruments_1_supplied_name String Lachat Quickchem FIA+ 8000 nutrient analyzer
attribute NC_GLOBAL instruments_2_acronym String Shimadzu TOC-V
attribute NC_GLOBAL instruments_2_dataset_instrument_description String Following filtration, sample aliquots were transferred to pre-combusted 40 mL glass vials, acidified to pH 2 (hydrochloric acid), and analyzed for non-purgable organic carbon using a Shimadzu TOC-VCPH analyzer fitted with a Shimadzu ASI-V autosampler.
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 762451
attribute NC_GLOBAL instruments_2_description String A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.
attribute NC_GLOBAL instruments_2_instrument_external_identifier String http://onto.nerc.ac.uk/CAST/124 (external link)
attribute NC_GLOBAL instruments_2_instrument_name String Shimadzu TOC-V Analyzer
attribute NC_GLOBAL instruments_2_instrument_nid String 603
attribute NC_GLOBAL instruments_2_supplied_name String Shimadzu TOC-VCPH analyzer
attribute NC_GLOBAL instruments_3_acronym String LSC
attribute NC_GLOBAL instruments_3_dataset_instrument_description String Tubes were then placed in to a liquid scintillation counter (Beckman LS-6500) overnight and measured disintegrations per minute (DPM) for live samples were corrected using DPM recorded for killed controls.
attribute NC_GLOBAL instruments_3_dataset_instrument_nid String 762454
attribute NC_GLOBAL instruments_3_description String Liquid scintillation counting is an analytical technique which is defined by the incorporation of the radiolabeled analyte into uniform distribution with a liquid chemical medium capable of converting the kinetic energy of nuclear emissions into light energy. Although the liquid scintillation counter is a sophisticated laboratory counting system used the quantify the activity of particulate emitting (ß and a) radioactive samples, it can also detect the auger electrons emitted from 51Cr and 125I samples.
attribute NC_GLOBAL instruments_3_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB21/ (external link)
attribute NC_GLOBAL instruments_3_instrument_name String Liquid Scintillation Counter
attribute NC_GLOBAL instruments_3_instrument_nid String 624
attribute NC_GLOBAL instruments_3_supplied_name String liquid scintillation counter (Beckman LS-6500)
attribute NC_GLOBAL instruments_4_acronym String YSI Sonde 6-Series
attribute NC_GLOBAL instruments_4_dataset_instrument_description String Depth was recorded using a YSI 600OMS V2 Optical Monitoring Sonde deployed on the creek bed.
attribute NC_GLOBAL instruments_4_dataset_instrument_nid String 762450
attribute NC_GLOBAL instruments_4_description String YSI 6-Series water quality sondes and sensors are instruments for environmental monitoring and long-term deployments. YSI datasondes accept multiple water quality sensors (i.e., they are multiparameter sondes). Sondes can measure temperature, conductivity, dissolved oxygen, depth, turbidity, and other water quality parameters. The 6-Series includes several models. More from YSI.
attribute NC_GLOBAL instruments_4_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0737/ (external link)
attribute NC_GLOBAL instruments_4_instrument_name String YSI Sonde 6-Series
attribute NC_GLOBAL instruments_4_instrument_nid String 663
attribute NC_GLOBAL instruments_4_supplied_name String YSI 600OMS V2 Optical Monitoring Sonde
attribute NC_GLOBAL instruments_5_acronym String YSI ProPlus
attribute NC_GLOBAL instruments_5_dataset_instrument_description String Salinity was measured for discrete samples collected in the field using a handheld multiparameter probe (YSI, Pro2030).
attribute NC_GLOBAL instruments_5_dataset_instrument_nid String 762449
attribute NC_GLOBAL instruments_5_description String The YSI Professional Plus handheld multiparameter meter provides for the measurement of a variety of combinations for dissolved oxygen, conductivity, specific conductance, salinity, resistivity, total dissolved solids (TDS), pH, ORP, pH/ORP combination, ammonium (ammonia), nitrate, chloride and temperature. More information from the manufacturer.
attribute NC_GLOBAL instruments_5_instrument_name String YSI Professional Plus Multi-Parameter Probe
attribute NC_GLOBAL instruments_5_instrument_nid String 666
attribute NC_GLOBAL instruments_5_supplied_name String YSI, Pro2030
attribute NC_GLOBAL instruments_6_acronym String Spectrophotometer
attribute NC_GLOBAL instruments_6_dataset_instrument_description String Filtered samples (non-acidified) were placed in a 1 cm quartz absorbance cell situated in the light path of an Agilent 8453 ultraviolet-visible spectrophotometer and CDOM absorbance spectra were recorded from 190 to 800 nm.
attribute NC_GLOBAL instruments_6_dataset_instrument_nid String 762452
attribute NC_GLOBAL instruments_6_description String An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.
attribute NC_GLOBAL instruments_6_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB20/ (external link)
attribute NC_GLOBAL instruments_6_instrument_name String Spectrophotometer
attribute NC_GLOBAL instruments_6_instrument_nid String 707
attribute NC_GLOBAL instruments_6_supplied_name String Agilent 8453 ultraviolet-visible spectrophotometer
attribute NC_GLOBAL keywords String a254, a254_DOC, bacterial, Bacterial_Production, bco, bco-dmo, biological, cell, Cell_Density, chemical, commerce, data, dataset, density, department, depth, dmo, doc, DOC_TDN, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, latitude, lignin, longitude, management, ocean, oceanography, oceans, office, point, practical, preliminary, production, salinity, science, sea, sea_water_practical_salinity, seawater, tdn, temperature, time, Time_point, water
attribute NC_GLOBAL keywords_vocabulary String GCMD Science Keywords
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/762443/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/762443 (external link)
attribute NC_GLOBAL Northernmost_Northing double 31.972
attribute NC_GLOBAL param_mapping String {'762443': {'lat': 'flag - latitude', 'Depth': 'flag - depth', 'lon': 'flag - longitude', 'Time': 'flag - time'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/762443/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of Tennessee
attribute NC_GLOBAL people_0_person_name String Alison Buchan
attribute NC_GLOBAL people_0_person_nid String 51331
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 Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_1_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_1_person_name String Mathew Biddle
attribute NC_GLOBAL people_1_person_nid String 708682
attribute NC_GLOBAL people_1_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_1_role_type String related
attribute NC_GLOBAL project String Marine priming effect
attribute NC_GLOBAL projects_0_acronym String Marine priming effect
attribute NC_GLOBAL projects_0_description String Description from NSF award abstract:\nLarge fluxes of apparently refractory terrigenous dissolved organic matter (t-DOM) are transported through rivers to the coast each year, yet there are vanishingly low traces of t-DOM in the oceans. The removal of t-DOM is central to the global carbon cycle, yet the mechanisms that drive removal remain poorly understood. In soils, the presence of labile organic compounds is known to enhance the remineralization of recalcitrant compounds, a phenomenon known as the priming effect (PE). The PE is quantitatively important in soil systems, but has received little attention in aquatic systems despite its potential to explain C mineralization patterns at the land-sea interface. This project investigates the magnitude of PE in the coastal ocean and the metabolic and ecological mechanisms that give rise to it. It focuses on the microbial communities of US Atlantic Ocean coastal marshes. In these systems, river-borne t-DOM provides a particularly valuable and tractable model for evaluating the magnitude of the PE. The study utilizes a well-characterized DOM standard collected from a Georgia river as the model t-DOM material in a series of laboratory experiments with natural coastal microbial communities and cultures of heterotrophic marine bacteria of the Roseobacter lineage. Roseobacters are particularly appropriate biological models for this work as they are abundant in southeastern US coastal zones and are known to catabolize lignin and other plant-derived aromatic compounds. Long-term (60 day) incubation experiments will track the PE resulting from addition of labile DOM of differing chemical complexity. Changes in lignin phenols will be the primary measure of the influence of PE on t-DOM degradation, but the research also monitors a broader suite of aromatic compounds represented by optical properties and identified by high-resolution mass spectrometry. Measurements of the microbial response to added labile organic matter, via extracellular enzyme activities, bacterial production, community composition and gene transcript analysis, will reveal the biological mechanisms responsible for the PE. Experiments using Roseobacter strains will allow detailed investigation of the relationship between metabolic pathways, specific bacteria, and organic carbon mineralization in a well-defined experimental system. Data on gene expression, microbial activity, and DOM transformations from the lab experiments will be integrated to elucidate the specific metabolic pathways invoked as part of the PE and guide development of molecular tools to track genetic signatures along a river to coastal ocean transect in the final year of the project.\nThe role of heterotrophic microorganisms in remineralizing t-DOM at the land-sea interface is a central question in biological oceanography. Components of t-DOM, principally lignin, are refractory in the sense that degradation rates are typically slow relative to other biomolecules, and yet lignin is effectively removed somewhere between land and the open ocean. The project will determine whether priming plays a role in the rapid removal of t-DOM in the coastal ocean, provide evidence for the types of labile organic matter most effective as priming agents, and attemp to discover the metabolic pathways by which the PE is mediated. These studies have the potential to reveal conserved and predictable metabolic responses that may contribute to regulation of the transformation and turnover of naturally occurring semi-labile/refractory DOM in marine environments. As climate change is likely to affect fluxes of both terrigenous carbon and nutrients to the coastal ocean, understanding the magnitude and mechanisms of PE will be necessary to predict the geochemical consequences of these changing fluxes.\nThis project is related to the project \"Tempo and mode of salt marsh exchange\" found at https://www.bco-dmo.org/project/564747.
attribute NC_GLOBAL projects_0_end_date String 2017-03
attribute NC_GLOBAL projects_0_name String Collaborative Research: Marine priming effect - molecular mechanisms for the biomineralization of terrigenous dissolved organic matter in the ocean
attribute NC_GLOBAL projects_0_project_nid String 554157
attribute NC_GLOBAL projects_0_start_date String 2014-04
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 31.972
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL subsetVariables String latitude,longitude
attribute NC_GLOBAL summary String Groves Creek Marsh (31.972\\u00b0 N, 81.028\\u00b0 W), a temperate salt marsh fringing Skidaway Island, GA served as the field site for this study. During July 16-17, 2014, samples were collected every two hours and four minutes to evenly sample across two tidal cycles and one diurnal cycle.
attribute NC_GLOBAL time_coverage_end String 2014-07-17T11:45:00Z
attribute NC_GLOBAL time_coverage_start String 2014-07-16T11:00:00Z
attribute NC_GLOBAL title String [Groves Creek 'Omits] - Metagenomic, metatranscriptomics and 16S rRNA gene sequence data from diel sampling at Groves Creek Marsh, Skidaway Island, GA during July 2014 (Collaborative Research: Marine priming effect - molecular mechanisms for the biomineralization of terrigenous dissolved organic matter in the ocean)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double -81.028
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable Time_point byte
attribute Time_point _FillValue byte 127
attribute Time_point actual_range byte 1, 13
attribute Time_point bcodmo_name String sample_descrip
attribute Time_point description String time point
attribute Time_point long_name String Time Point
attribute Time_point units String unitless
variable time double
attribute time _CoordinateAxisType String Time
attribute time actual_range double 1.4055084E9, 1.4055975E9
attribute time axis String T
attribute time bcodmo_name String date
attribute time description String Time of observation
attribute time ioos_category String Time
attribute time long_name String Time
attribute time nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ (external link)
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 Temperature float
attribute Temperature _FillValue float NaN
attribute Temperature actual_range float 28.6, 30.7
attribute Temperature bcodmo_name String temperature
attribute Temperature description String temperature
attribute Temperature long_name String Temperature
attribute Temperature nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ (external link)
attribute Temperature units String degrees Celsius
variable depth double
attribute depth _CoordinateAxisType String Height
attribute depth _CoordinateZisPositive String down
attribute depth _FillValue double NaN
attribute depth actual_range double 1.8, 4.5
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 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/ (external link)
attribute depth positive String down
attribute depth standard_name String depth
attribute depth units String m
variable Salinity float
attribute Salinity _FillValue float NaN
attribute Salinity actual_range float 29.4, 30.7
attribute Salinity bcodmo_name String sal
attribute Salinity colorBarMaximum double 37.0
attribute Salinity colorBarMinimum double 32.0
attribute Salinity description String salinity
attribute Salinity long_name String Sea Water Practical Salinity
attribute Salinity nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/ (external link)
attribute Salinity units String parts per thousand (ppt)
variable Cell_Density String
attribute Cell_Density bcodmo_name String density
attribute Cell_Density description String cell density
attribute Cell_Density long_name String Cell Density
attribute Cell_Density units String cells per mililiter (cells/mL)
variable Bacterial_Production String
attribute Bacterial_Production bcodmo_name String production
attribute Bacterial_Production description String bacterial production
attribute Bacterial_Production long_name String Bacterial Production
attribute Bacterial_Production units String milimole per hour (mmol/h)
variable DOC float
attribute DOC _FillValue float NaN
attribute DOC actual_range float 231.5, 475.08
attribute DOC bcodmo_name String DOC
attribute DOC description String Dissolved Organic Carbon (DOC)
attribute DOC long_name String DOC
attribute DOC nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/ (external link)
attribute DOC units String mm
variable TDN float
attribute TDN _FillValue float NaN
attribute TDN actual_range float 16.44, 88.14
attribute TDN bcodmo_name String Total Dissolved Nitrogren
attribute TDN description String TDN
attribute TDN long_name String TDN
attribute TDN units String mm
variable DOC_TDN float
attribute DOC_TDN _FillValue float NaN
attribute DOC_TDN actual_range float 5.39, 15.16
attribute DOC_TDN bcodmo_name String unknown
attribute DOC_TDN description String DOC/TDN
attribute DOC_TDN long_name String DOC TDN
attribute DOC_TDN units String unitless
variable a254_DOC float
attribute a254_DOC _FillValue float NaN
attribute a254_DOC actual_range float 0.046, 0.075
attribute a254_DOC bcodmo_name String unknown
attribute a254_DOC description String a254/DOC
attribute a254_DOC long_name String A254 DOC
attribute a254_DOC units String unitless
variable Lignin float
attribute Lignin _FillValue float NaN
attribute Lignin actual_range float 0.041, 0.324
attribute Lignin bcodmo_name String unknown
attribute Lignin description String Lignin
attribute Lignin long_name String Lignin
attribute Lignin units String mg 1/ mg OC
variable latitude double
attribute latitude _CoordinateAxisType String Lat
attribute latitude _FillValue double NaN
attribute latitude actual_range double 31.972, 31.972
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; North is positive; negative denotes South
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 -81.028, -81.028
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; East is positive; negative denotes West
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

 
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