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
attribute NC_GLOBAL acquisition_description String Particles were collected using in situ McLane pumps equipped with mini-MULVFS\n(Bishop et al. 2012) 2-tiered filter holders. Particle collection captured\nsequentially large (>53 \\u00b5m) particulates on acid-cleaned Nitex mesh\nfilters and small particles (<53 \\u00b5m) on pre-combusted GFF or QMA filters\nat discrete depths for amino acid compound-specific isotope analysis (AA CSIA)\nand for particulate carbon and nitrogen. This method is designed to exclude\nmotile metazoans but include all other ambient, non-swimming particulate\nmatter (see Bishop et al. 2012). Immediately after collection, large particles\nwere rinsed off of the Nitex screens and onto pre-combusted 25-mm QMA filters\nusing 0.2 \\u00b5m filtered seawater. All filters were frozen at -20\\u00b0C or\n-80\\u00b0C as soon as possible after collection.\n \nZooplankton were collected using a 1-m\\u00b2 MOCNESS net during the day\n(~09:00-15:00) and at night (~20:00-03:00). Night and day tows were repeated\nto obtain replicate samples for biomass and isotopic analyses. Upon\ncollection, each sample was size-fractionated using 0.2, 0.5, 1.0, 2.0 and 5.0\nmm mesh sieves, filtered onto pre-weighed 47 mm filters of 0.2 mm Nitex mesh\nand stored frozen at -80\\u00baC.\n \nFor nitrogen isotope composition of the amino acids, particles and zooplankton\nsamples were freeze dried and analyzed following the methods Hannides et al.\n(2013).\\u00a0\\u03b4\\u00b9\\u2075N values of source amino acids (\n\\u03b4\\u00b9\\u2075NSrc\\u208bAA ) for both particles and zooplankton were\ncalculated as the average \\u03b4\\u00b9\\u2075N of: serine, phenylalanine,\nlysine and glycine. Freeze-dried zooplankton filters for all size fractions\nwere weighed to calculate zooplankton biomass (mg in dry weight/m\\u00b3) at\neach depth during the day and at nighttime.
attribute NC_GLOBAL awards_0_award_nid String 537122
attribute NC_GLOBAL awards_0_award_number String OCE-1333734
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1333734 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String David L. Garrison
attribute NC_GLOBAL awards_0_program_manager_nid String 50534
attribute NC_GLOBAL awards_1_award_nid String 560590
attribute NC_GLOBAL awards_1_award_number String OCE-1433846
attribute NC_GLOBAL awards_1_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1433846 (external link)
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 Donald L. Rice
attribute NC_GLOBAL awards_1_program_manager_nid String 51467
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Particles and Zooplankton AA-CSIA  \n  PI: Brian N. Popp (University of Hawaii) \n  Co-PI: Jeffrey C. Drazen (Univeristy of Hawaii) \n  Version date: 19-March-2020
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 2020-03-19T15:29:51Z
attribute NC_GLOBAL date_modified String 2020-03-31T21:14:41Z
attribute NC_GLOBAL defaultDataQuery String &amp;time&lt;now
attribute NC_GLOBAL doi String 10.26008/1912/bco-dmo.806502.1
attribute NC_GLOBAL Easternmost_Easting double -155.0
attribute NC_GLOBAL geospatial_lat_max double 22.0
attribute NC_GLOBAL geospatial_lat_min double 5.0
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double -155.0
attribute NC_GLOBAL geospatial_lon_min double -158.0
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL geospatial_vertical_max double 1250.0
attribute NC_GLOBAL geospatial_vertical_min double 7.0
attribute NC_GLOBAL geospatial_vertical_positive String down
attribute NC_GLOBAL geospatial_vertical_units String m
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/806502 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String IR Mass Spec
attribute NC_GLOBAL instruments_0_dataset_instrument_description String Nitrogen isotope composition of the amino acids determined using an isotope ratio mass spectrometer (Thermo Scientific Delta V Plus or Thermo Scientific MAT 253 IRMS) interfaced with a Thermo Finnigan GC-C III.
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 806549
attribute NC_GLOBAL instruments_0_description String The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer).
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB16/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Isotope-ratio Mass Spectrometer
attribute NC_GLOBAL instruments_0_instrument_nid String 469
attribute NC_GLOBAL instruments_0_supplied_name String isotope ratio mass spectrometer
attribute NC_GLOBAL instruments_1_acronym String MULVFS
attribute NC_GLOBAL instruments_1_dataset_instrument_description String Particles were collected using in situ McLane pumps equipped with mini-MULVFS (Bishop et al. 2012) 2-tiered filter holders.
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 806547
attribute NC_GLOBAL instruments_1_description String The Multiple Unit Large Volume Filtration System (MULVFS), consists of multiple (commonly 12) specialized particulate matter pumps, mounted in a frame and tethered to the ship by a cable (Bishop et al., 1985; Bishop and Wood, 2008).  The MULVFS filters particulates from large volumes of seawater, although the exact protocols followed will vary for each project.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/32/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Multiple Unit Large Volume Filtration System
attribute NC_GLOBAL instruments_1_instrument_nid String 509
attribute NC_GLOBAL instruments_1_supplied_name String MULVFS
attribute NC_GLOBAL instruments_2_acronym String MOCNESS
attribute NC_GLOBAL instruments_2_dataset_instrument_description String Multiple opening-closing net and environmental sensing system (MOCNESS; Wiebe et al. 1976) net with 1 m2 opening using 0.2 mm mesh plankton nets.
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 806548
attribute NC_GLOBAL instruments_2_description String The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. There are currently 8 different sizes of MOCNESS in existence which are designed for capture of different size ranges of zooplankton and micro-nekton  Each system is designated according to the size of the net mouth opening and in two cases, the number of nets it carries. The original MOCNESS (Wiebe et al, 1976) was a redesigned and improved version of a system described by Frost and McCrone (1974).(from MOCNESS manual)  This designation is used when the specific type of MOCNESS (number and size of nets) was not specified by the contributing investigator.
attribute NC_GLOBAL instruments_2_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/ (external link)
attribute NC_GLOBAL instruments_2_instrument_name String MOCNESS
attribute NC_GLOBAL instruments_2_instrument_nid String 511
attribute NC_GLOBAL instruments_2_supplied_name String 1-m2 MOCNESS
attribute NC_GLOBAL instruments_3_acronym String McLane Pump
attribute NC_GLOBAL instruments_3_dataset_instrument_description String Particles were collected using in situ McLane pumps equipped with mini-MULVFS (Bishop et al. 2012) 2-tiered filter holders.
attribute NC_GLOBAL instruments_3_dataset_instrument_nid String 806546
attribute NC_GLOBAL instruments_3_description String McLane pumps sample large volumes of seawater at depth. They are attached to a wire and lowered to different depths in the ocean. As the water is pumped through the filter, particles suspended in the ocean are collected on the filters. The pumps are then retrieved and the contents of the filters are analyzed in a lab.
attribute NC_GLOBAL instruments_3_instrument_name String McLane Pump
attribute NC_GLOBAL instruments_3_instrument_nid String 627
attribute NC_GLOBAL instruments_3_supplied_name String McLane pumps
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, biomass, carbon, chemical, cruise, d15, d15NSrcAA, data, dataset, date, Date_final, day, DayNight, depth, DepthInterval_max, DepthInterval_min, dmo, erddap, error, final, fraction, initial, latitude, longitude, management, max, min, night, nsrc, oceanography, office, organic, particulate, POC, preliminary, propagation, Propagation_error, season, site, size, SizeFraction_max, SizeFraction_min, time, type
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/806502/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/806502 (external link)
attribute NC_GLOBAL Northernmost_Northing double 22.0
attribute NC_GLOBAL param_mapping String {'806502': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/806502/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of Hawaii at Manoa
attribute NC_GLOBAL people_0_affiliation_acronym String SOEST
attribute NC_GLOBAL people_0_person_name String Brian N. Popp
attribute NC_GLOBAL people_0_person_nid String 51093
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 Hawaii at Manoa
attribute NC_GLOBAL people_1_affiliation_acronym String SOEST
attribute NC_GLOBAL people_1_person_name String Jeffrey C. Drazen
attribute NC_GLOBAL people_1_person_nid String 491313
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 Shannon Rauch
attribute NC_GLOBAL people_2_person_nid String 51498
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 SuspendSinkPart,Hg_Biogeochemistry
attribute NC_GLOBAL projects_0_acronym String SuspendSinkPart
attribute NC_GLOBAL projects_0_description String Description from NSF award abstract:\nThe ocean's midwaters are the largest living space on the planet. The mesopelagic food web plays key roles in the biological carbon pump and the production of food for commercially harvested species, but its functioning is understudied because it is remote and technologically challenging to sample. Recent estimates indicate respiratory demand outstrips measured sinking particle supply by up to 2-3 orders of magnitude suggesting that some food inputs to the mesopelagic food web have been underestimated or missed. Suspended particles frequently are not sampled effectively and may be an overlooked food source. Because identifying the principal inputs of organic matter to the deep-sea food web is critical to understanding its function, the investigators propose to evaluate the relative importance of suspended and sinking particles to the meso- and bathypelagic food web in the central North Pacific. They will characterize the isotopic compositions of specific groups of mesopelagic and bathypelagic zooplankton and micronekton, and identify the extent to which they consume suspended or sinking particles using mass balance approaches. The investigators recently have recognized differences in delta 15N and delta 13C values of amino acids (AA) of sinking and suspended particles; these patterns diverge with depth, providing a means to distinguish between food web pathways. The research will define the source-specific isotopic values of suspended and sinking particles at several depths from the surface to the bathypelagic and test proposed microbial mechanisms driving these depth patterns. At corresponding depths, MOCNESS trawls will sample diverse metazoa: zooplankton size fractions, plus targeted resident, migrating and likely suspension-feeding taxa of zooplankton and micronekton. Preliminary data suggest that suspended particles are a secondary food source, containing less labile organic matter than sinking particles that exhibit a seasonal cycle in flux in the central North Pacific. This study will determine if suspended particles become more important to zooplankton and micronekton during a time of year when sinking particle flux is low (Jan/Feb) in comparison to when it is high (Aug), allowing an evaluation of how temporal change in surface ocean productivity affects the functioning of mesopelagic food webs.\nRecent research has called for additional study of the ocean's deep midwaters. This study will provide new insights into the functioning of the meso- and bathypelagic food web and its coupling with surface ocean processes in the central North Pacific. The recently-demonstrated ecological tool of amino acid-specific isotopic analysis will provide a novel and comprehensive approach with which to address our hypotheses, and the project will develop the first AA isotopic dataset spanning particles to fish. Results will help identify the ecological underpinnings of increasing delta 15N values with depth in zooplankton -- apparently a common pattern. Zooplankton consumption of suspended particles also could constitute a mechanistic link between the microbial loop and higher trophic levels. The processes controlling the enormous attenuation of particle flux by mesopelagic consumers -- and thereby the strength of carbon sequestration to the deep ocean -- are not understood. Seasonal sampling will help us relate mesopelagic food web processes to changes in surface ocean productivity, furthering our understanding of future climate change impacts on deep-sea food webs and carbon flux. With regard to fisheries, many oceanic top predators such as tuna and swordfish feed on mesopelagic micronekton. A clearer understanding of the structure of mesopelagic food webs will help inform ecosystem models which are used to understand variation in fisheries production.
attribute NC_GLOBAL projects_0_end_date String 2016-12
attribute NC_GLOBAL projects_0_geolocation String Subtropical waters north of Hawaii; Station Aloha (22° 45'N, 158° 00'W)
attribute NC_GLOBAL projects_0_name String Evaluating the relative importance of suspended and sinking particles to the meso and bathypelagic food web in the central North Pacific
attribute NC_GLOBAL projects_0_project_nid String 537123
attribute NC_GLOBAL projects_0_start_date String 2014-01
attribute NC_GLOBAL projects_1_acronym String Hg_Biogeochemistry
attribute NC_GLOBAL projects_1_description String NSF award abstract:\nMercury is a pervasive trace element that exists in several states in the marine environment, including monomethylmercury (MMHg), a neurotoxin that bioaccumulates in marine organisms and poses a human health threat. Understanding the fate of mercury in the ocean and resulting impacts on ocean food webs requires understanding the mechanisms controlling the depths at which mercury chemical transformations occur. Preliminary mercury analyses on nine species of marine fish from the North Pacific Ocean indicated that intermediate waters are an important entry point for MMHg into open ocean food webs. To elucidate the process controlling this, researchers will examine mercury dynamics in regions with differing vertical dissolved oxygen profiles, which should influence depths of mercury transformation. Results of the study will aid in a better understanding of the pathways by which mercury enters the marine food chain and can ultimately impact humans. This project will provide training for graduate and undergraduate students, and spread awareness on oceanic mercury through public outreach and informal science programs.\nMercury isotopic variations can provide insight into a wide variety of environmental processes. Isotopic compositions of mercury display mass-dependent fractionation (MDF) during most biotic and abiotic chemical reactions and mass-independent fractionation (MIF) during photochemical radical pair reactions. The unusual combination of MDF and MIF can provide information on reaction pathways and the biogeochemical history of mercury. Results from preliminary research provide strong evidence that net MMHg formation occurred below the surface mixed layer in the pycnocline and suggested that MMHg in low oxygen intermediate waters is an important entry point for mercury into open ocean food webs. These findings highlight the critical need to understand how MMHg levels in marine biota will respond to changes in atmospheric mercury emissions, deposition of inorganic mercury to the surface ocean, and hypothesized future expansion of oxygen minimum zones. Using field collections across ecosystems with contrasting biogeochemistry and mercury isotope fractionation experiments researchers will fill key knowledge gaps in mercury biogeochemistry. Results of the proposed research will enable scientists to assess the biogeochemical controls on where in the water column mercury methylation and demethylation likely occur.\nRelated background publication with supplemental data section:\nJoel D. Blum, Brian N. Popp, Jeffrey C. Drazen, C. Anela Choy & Marcus W. Johnson. 2013. Methylmercury production below the mixed layer in the North Pacific Ocean. Nature Geoscience 6, 879–884. doi:10.1038/ngeo1918
attribute NC_GLOBAL projects_1_end_date String 2017-07
attribute NC_GLOBAL projects_1_geolocation String Pacific Subtropical Gyre, Station ALOHA 22.75N 158W; equatorial Pacific (10N 155W, 5N 155W)
attribute NC_GLOBAL projects_1_name String Collaborative Research: Isotopic insights to mercury in marine food webs and how it varies with ocean biogeochemistry
attribute NC_GLOBAL projects_1_project_nid String 560580
attribute NC_GLOBAL projects_1_start_date String 2014-08
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL Southernmost_Northing double 5.0
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String Particles and Zooplankton Amino Acid Compound Specific Isotope Analyses (AA-CSIA) and zooplankton biomass at Station ALOHA and the Equatorial Pacific from R/V Kilo Moana cruises KM1407, KM1418, & KM1515 from 2014-2015.
attribute NC_GLOBAL title String [Particles and Zooplankton AA-CSIA] - Particles and Zooplankton Amino Acid Compound Specific Isotope Analyses (AA-CSIA) and zooplankton biomass at Station ALOHA and the Equatorial Pacific from R/V Kilo Moana cruises KM1407, KM1418, & KM1515 from 2014-2015 (Evaluating the relative importance of suspended and sinking particles to the meso and bathypelagic food web in the central North Pacific)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double -158.0
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable Cruise String
attribute Cruise bcodmo_name String cruise_id
attribute Cruise description String Cruise identifier
attribute Cruise long_name String Cruise
attribute Cruise units String unitless
variable Date_initial String
attribute Date_initial bcodmo_name String date
attribute Date_initial description String Sampling initial date (UTC); format: yyyy-mm-dd
attribute Date_initial long_name String Date Initial
attribute Date_initial nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ (external link)
attribute Date_initial source_name String Date_initial
attribute Date_initial time_precision String 1970-01-01
attribute Date_initial units String unitless
variable Date_final String
attribute Date_final bcodmo_name String date
attribute Date_final description String Sampling final date (UTC); format: yyyy-mm-dd
attribute Date_final long_name String Date Final
attribute Date_final nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ (external link)
attribute Date_final time_precision String 1970-01-01
attribute Date_final units String unitless
variable Site String
attribute Site bcodmo_name String site
attribute Site description String Site identifier
attribute Site long_name String Site
attribute Site units String unitless
variable latitude double
attribute latitude _CoordinateAxisType String Lat
attribute latitude _FillValue double NaN
attribute latitude actual_range double 5.0, 22.0
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
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 -158.0, -155.0
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
attribute longitude ioos_category String Location
attribute longitude long_name String Longitude
attribute longitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LONX/ (external link)
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
variable Season String
attribute Season bcodmo_name String season
attribute Season description String Season: Winter = February; Summer = August and September
attribute Season long_name String Season
attribute Season units String unitless
variable DayNight String
attribute DayNight bcodmo_name String time_of_day
attribute DayNight description String DayNight: Day = 9:00 – 15:00; Night = 20:00 – 3:00
attribute DayNight long_name String Day Night
attribute DayNight units String unitless
variable Type String
attribute Type bcodmo_name String sample_descrip
attribute Type description String Type of sample
attribute Type long_name String Type
attribute Type units String unitless
variable SizeFraction_min float
attribute SizeFraction_min _FillValue float NaN
attribute SizeFraction_min actual_range float 0.7, 5000.0
attribute SizeFraction_min bcodmo_name String samp_fraction
attribute SizeFraction_min colorBarMaximum double 1.0
attribute SizeFraction_min colorBarMinimum double 0.0
attribute SizeFraction_min description String Minimum size fraction of a sample
attribute SizeFraction_min long_name String Size Fraction Min
attribute SizeFraction_min units String micrometers (um)
variable SizeFraction_max short
attribute SizeFraction_max _FillValue short 32767
attribute SizeFraction_max actual_range short 53, 5000
attribute SizeFraction_max bcodmo_name String samp_fraction
attribute SizeFraction_max colorBarMaximum double 1.0
attribute SizeFraction_max colorBarMinimum double 0.0
attribute SizeFraction_max description String Maximum size fraction of a sample
attribute SizeFraction_max long_name String Size Fraction Max
attribute SizeFraction_max units String micrometers (um)
variable depth double
attribute depth _CoordinateAxisType String Height
attribute depth _CoordinateZisPositive String down
attribute depth _FillValue double NaN
attribute depth actual_range double 7.0, 1250.0
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 Sampling 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 DepthInterval_max short
attribute DepthInterval_max _FillValue short 32767
attribute DepthInterval_max actual_range short 50, 1500
attribute DepthInterval_max bcodmo_name String depth
attribute DepthInterval_max colorBarMaximum double 8000.0
attribute DepthInterval_max colorBarMinimum double -8000.0
attribute DepthInterval_max colorBarPalette String TopographyDepth
attribute DepthInterval_max description String Maximum depth of MOCNESS net
attribute DepthInterval_max long_name String Depth
attribute DepthInterval_max nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ (external link)
attribute DepthInterval_max standard_name String depth
attribute DepthInterval_max units String meters (m)
variable DepthInterval_min short
attribute DepthInterval_min _FillValue short 32767
attribute DepthInterval_min actual_range short 0, 1000
attribute DepthInterval_min bcodmo_name String depth
attribute DepthInterval_min colorBarMaximum double 8000.0
attribute DepthInterval_min colorBarMinimum double -8000.0
attribute DepthInterval_min colorBarPalette String TopographyDepth
attribute DepthInterval_min description String Minimum depth of MOCNESS net
attribute DepthInterval_min long_name String Depth
attribute DepthInterval_min nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ (external link)
attribute DepthInterval_min standard_name String depth
attribute DepthInterval_min units String meters (m)
variable d15NSrcAA float
attribute d15NSrcAA _FillValue float NaN
attribute d15NSrcAA actual_range float -3.1, 12.4
attribute d15NSrcAA bcodmo_name String d15N_bio
attribute d15NSrcAA description String Average nitrogen isotopic composition of source amino acids: phenylalanine, serine, glycine and lysine of a sample
attribute d15NSrcAA long_name String D15 NSrc AA
attribute d15NSrcAA nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/IRBO/ (external link)
attribute d15NSrcAA units String ‰, vs AIR
variable Propagation_error float
attribute Propagation_error _FillValue float NaN
attribute Propagation_error actual_range float 0.0, 2.7
attribute Propagation_error bcodmo_name String d15N_bio
attribute Propagation_error colorBarMaximum double 50.0
attribute Propagation_error colorBarMinimum double 0.0
attribute Propagation_error description String Propagation error of the replicate measurement of nitrogen isotopic composition of source amino acids of a sample
attribute Propagation_error long_name String Propagation Error
attribute Propagation_error nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/IRBO/ (external link)
attribute Propagation_error units String ‰, vs AIR
variable POC float
attribute POC _FillValue float NaN
attribute POC actual_range float 0.21, 22.04
attribute POC bcodmo_name String POC
attribute POC description String Particulate Organic Carbon
attribute POC long_name String Particulate Organic Carbon
attribute POC nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/ (external link)
attribute POC units String micrograms per liter (ug L-1)
variable PC float
attribute PC _FillValue float NaN
attribute PC actual_range float 0.3, 25.19
attribute PC bcodmo_name String C
attribute PC description String Total Particulate Carbon
attribute PC long_name String PC
attribute PC units String ug L-1
variable Biomass float
attribute Biomass _FillValue float NaN
attribute Biomass actual_range float 0.0, 4.31
attribute Biomass bcodmo_name String biomass
attribute Biomass description String Zooplankton biomass
attribute Biomass long_name String Biomass
attribute Biomass units String mg DW m-3

 
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