BCO-DMO ERDDAP
Accessing BCO-DMO data
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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
attribute NC_GLOBAL acquisition_description String All data were collected from a modified procedure as described in Van Mooy et\nal (2015).\n \nSampling - Sampling was conducted aboard the R/V Atlantic Explorer during a\ncruise in May 2018.\\u00a0 Water samples for whole community analyses were\ncollected from Niskin bottles deployed on a rosette with a CTD.\\u00a0\nSubsamples (1-4 L) for incubations were dispensed from the Niskin bottle into\nacid-washed polyethylene bottles and promptly taken to a laboratory van for\nincubation setup and processing. At two stations Trichodesmium colonies were\nalso acquired for uptake and reduction experiments. Briefly, colonies were\ncollected near the surface with a handheld 130 \\u00b5m net. 6 to 20 colonies\nwere washed twice with freshly filtered (0.2 \\u00b5m pore size polycarbonate\nmembrane) surface seawater before being transferred into 50 mL of filtered\nseawater for incubation as described below. At three stations sinking\nparticles were collected using 1.25 m diameter free-floating net traps for\n24-hour deployments (Peterson et al. 2005). Once recovered, the particle\nslurry was further split into 12 equal fractions using an electric splitter\n(Lamborg et al. 2008). One split was used for total phosphate uptake and\nreduction measurements as described below where particle slurries were\nincubated in the dark in 50 to 125 mL of seawater. [C.H. Lamborg, K.O.\nBruesseler, J. Valdes, C.H. Bertrand, R. Bidigare, S. Manganini, etc, The flux\nof bio- and lithogenic material associated with sinking particles in the\nmesopelagic \\u201ctwilight zone\\u201d of the northwest and North Central\nPacific Ocean. Deep-Sea Res II 55, 1540 (2008). M.L. Peterson, S.G. Wakeham,\nC. Lee, M.A. Askea, J.C. Miquel, Novel techniques for collection of sinking\nparticles in the ocean and determining their settling rates. Limnol Oceanogr\nMethods 3, 520 (2005).]\n \nPhosphate uptake rates \\u2013 50 mL samples of seawater were added to acid-\nwashed polycarbonate incubation bottles. Each incubation bottle was spiked\nwith approximately 2 \\u00b5Ci of 33P-phosphoric acid.\\u00a0 The final\nconcentration of 33P-phosphate in the incubations was less than 10 pmol L-1,\nwhich was likely two orders of magnitude smaller than ambient phosphate\nconcentrations. The bottles were capped and mixed by gently inverting.\\u00a0\nTo account for any abiotic adsorption of the radioactive tracer, additional 50\nmL subsamples were spiked with 10% paraformaldehyde prior to the addition of\nthe 33P-phosphoric acid. These \\u201ckilled controls\\u201d were used for blank\nsubtractions in uptake and reduction rate calculations. All bottles were\nplaced in a flow-through on-deck incubator that was maintained at surface\nseawater temperatures by continually flushing it with the surface seawater\nfrom the ship\\u2019s pumping system.\\u00a0 Temperature in the incubators was\noccasionally monitored with a waterproof temperature logger (Onset).\\u00a0 The\nincubators used blue transparent film to achieve a light intensity to mimic\n30% PAR. About half of the surface water samples were placed in a dark\nincubator to determine the affect light had on the incubations. For depth\nprofiles, the incubators used a combination of neutral density screening and\nblue transparent film to achieve a light intensity to mimic PAR throughout the\nwater column while samples with less than 1% PAR were placed in a dark\nincubator. After an appropriate amount of time, the incubations were\nterminated and 5 mL of sample was vacuum filtered (approximately 200 mbar)\nonto 25 mm diameter 0.2 \\u00b5m pore size polycarbonate membranes (Millipore).\nThe membranes were quickly rinsed three times with freshly filtered (0.2\n\\u00b5m pore size polycarbonate membrane) surface seawater.\\u00a0 The\nmembranes were then immediately placed in a liquid scintillation vial\ncontaining 10 mL of UltimaGold liquid (Perkin Elmer) scintillation cocktail,\nwhich was then shaken vigorously.\\u00a0 The 33P-radioacitivity in the vials\nwas determined using a liquid scintillation counter (Perkin Elmer).\n \nPhosphate reduction to intracellular P(III) compounds \\u2013 The remaining 45\nmL of sample was vacuum filtered as described above. Next, the membranes were\nimmersed in 1.0 mL of ultra-high purity (UHP) deionized water (18 M\\u03a9*cm)\nin a cryovial (Fisher).\\u00a0 The vials were immediately capped and flash\nfrozen for storage and transport back to the on-shore laboratory. For further\nanalysis, the samples were subject to three freeze/thaw cycles where the\ncryovial was immersed in liquid nitrogen for approximately 10 min, before they\nwere immersed in boiling-hot water for 10 min, and then vigorously\nshaken.\\u00a0 Next, 100 \\u00b5L aliquots of the samples were injected onto an\nIC system (Dionex) which pumped an eluent gradient of 23 mmol L-1 to 90 mmol\nL-1 sodium hydroxide through an IonPac AS18 (Dionex) column at a rate of 1.0\nmL min-1.\\u00a0 An ion suppressor using UHP water as a regenerant removed\nsodium hydroxide from the eluent. Three fractions were collected in 60 second\nintervals at retention times where pure standards of (1) hypophosphorus acid\n(2) methyl-phosphonate, 2-hydroxethyl-phosphonate, and (3) phosphorus acid\nelute and the 33P-radioactivity determined as described above. The 33P-\nradioactivity of the three fractions was summed, corrected for dilution, and\nthen divided by the 33P-radioactivity from the parallel 33P-phosphate uptake\nsubsamples to determine the fraction (%) of 33P uptake that was incorporated\ninto P (III) compounds.\\u00a0 All uptake samples were processed at sea in May\n2018 and all reduction samples were processed onshore in July 2018.\nRadioactive decay was accounted for in the final counts per minute (cpm)\nvalues.
attribute NC_GLOBAL awards_0_award_nid String 704767
attribute NC_GLOBAL awards_0_award_number String OCE-1558490
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1558490 (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 704773
attribute NC_GLOBAL awards_1_award_number String OCE-1558506
attribute NC_GLOBAL awards_1_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1558506 (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 David L. Garrison
attribute NC_GLOBAL awards_1_program_manager_nid String 50534
attribute NC_GLOBAL awards_2_award_nid String 746564
attribute NC_GLOBAL awards_2_award_number String OCE-1536346
attribute NC_GLOBAL awards_2_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1536346 (external link)
attribute NC_GLOBAL awards_2_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_2_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_2_funding_source_nid String 355
attribute NC_GLOBAL awards_2_program_manager String Henrietta N Edmonds
attribute NC_GLOBAL awards_2_program_manager_nid String 51517
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Redox data \n   from RV/Atlantic Explorer AE1812, May 2018 \n   PI: T. Rynearson (URI) \n   version date: 2019-03-20 \n     NOTE: Sample_type: Comm.=Whole community, CommD.=Whole communinty in dark incubation, Tricho.=Trichodesmium colonies, Sed.=Sinking particles \n           33P-phosphate rates and uptake values are blank corrected
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 2019-03-20T19:03:37Z
attribute NC_GLOBAL date_modified String 2019-03-21T21:08:53Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.762772.1
attribute NC_GLOBAL geospatial_vertical_max double 172.0
attribute NC_GLOBAL geospatial_vertical_min double 4.0
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/762772 (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_nid String 762785
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_1_acronym String CTD
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 762784
attribute NC_GLOBAL instruments_1_description String The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column.  The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or  radiometers.  It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.  This instrument designation is used when specific make and model are not known.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/130/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String CTD profiler
attribute NC_GLOBAL instruments_1_instrument_nid String 417
attribute NC_GLOBAL instruments_2_acronym String Sed Trap - Part Int
attribute NC_GLOBAL instruments_2_dataset_instrument_description String \"Based on the design of a closing plankton net capable of collecting large amounts (~1 g) of very fresh sinking particulate material in short time periods (24-36 h) to facilitate microbial decomposition experiment.\" (Peterson et al, 2005)
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 762790
attribute NC_GLOBAL instruments_2_description String A Particle Interceptor Trap is a prototype sediment trap designed in the mid 1990s to segregate 'swimmers' from sinking particulate material sampled from the water column. The prototype trap used 'segregation plates' to deflect and segregate 'swimmers' while a series of funnels collected sinking particles in a chamber (see Dennis A. Hansell and Jan A. Newton. September 1994. Design and Evaluation of a \"Swimmer\"-Segregating Particle Interceptor Trap, Limnology and Oceanography, Vol. 39, No. 6, pp. 1487-1495).
attribute NC_GLOBAL instruments_2_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/33/ (external link)
attribute NC_GLOBAL instruments_2_instrument_name String Sediment Trap - Particle Interceptor
attribute NC_GLOBAL instruments_2_instrument_nid String 550
attribute NC_GLOBAL instruments_2_supplied_name String free-floating NetTrap
attribute NC_GLOBAL instruments_3_acronym String LSC
attribute NC_GLOBAL instruments_3_dataset_instrument_nid String 762793
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 (Perkin Elmer)
attribute NC_GLOBAL instruments_4_acronym String Ion Chromatograph
attribute NC_GLOBAL instruments_4_dataset_instrument_nid String 762794
attribute NC_GLOBAL instruments_4_description String Ion chromatography is a form of liquid chromatography that measures concentrations of ionic species by separating them based on their interaction with a resin. Ionic species separate differently depending on species type and size. Ion chromatographs are able to measure concentrations of major anions, such as fluoride, chloride, nitrate, nitrite, and sulfate, as well as major cations such as lithium, sodium, ammonium, potassium, calcium, and magnesium in the parts-per-billion (ppb) range. (from http://serc.carleton.edu/microbelife/research_methods/biogeochemical/ic.html)
attribute NC_GLOBAL instruments_4_instrument_name String Ion Chromatograph
attribute NC_GLOBAL instruments_4_instrument_nid String 662
attribute NC_GLOBAL instruments_4_supplied_name String IC system (Dionex)
attribute NC_GLOBAL instruments_5_dataset_instrument_nid String 762792
attribute NC_GLOBAL instruments_5_description String A device mounted on a ship that holds water samples under conditions of controlled temperature or controlled temperature and illumination.
attribute NC_GLOBAL instruments_5_instrument_name String Shipboard Incubator
attribute NC_GLOBAL instruments_5_instrument_nid String 629001
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, cast, chemical, chemistry, concentration, conductivity, ctd, CTD_Cast, data, dataset, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Phosphate, erddap, incorp, management, mass, mass_concentration_of_phosphate_in_sea_water, ocean, oceanography, oceans, office, p33, P33_PO4_incorp_PIII_pcent, P33_PO4_incorp_PIII_rate, P33_PO4_uptake, phosphate, piii, po4, preliminary, rate, sample, Sample_type, science, sea, seawater, sonde, station, temperature, type, uptake, water
attribute NC_GLOBAL keywords_vocabulary String GCMD Science Keywords
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/762772/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/762772 (external link)
attribute NC_GLOBAL param_mapping String {'762772': {'Depth': 'master - depth'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/762772/parameters (external link)
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 Benjamin A.S. Van Mooy
attribute NC_GLOBAL people_0_person_nid String 50975
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 Rhode Island
attribute NC_GLOBAL people_1_affiliation_acronym String URI-GSO
attribute NC_GLOBAL people_1_person_name String Tatiana Rynearson
attribute NC_GLOBAL people_1_person_nid String 511706
attribute NC_GLOBAL people_1_role String Co-Principal Investigator
attribute NC_GLOBAL people_1_role_type String originator
attribute NC_GLOBAL people_2_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_2_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_2_person_name String Nancy Copley
attribute NC_GLOBAL people_2_person_nid String 50396
attribute NC_GLOBAL people_2_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_2_role_type String related
attribute NC_GLOBAL project String North Atlantic Diatoms,Phosphorus Redox Cycling
attribute NC_GLOBAL projects_0_acronym String North Atlantic Diatoms
attribute NC_GLOBAL projects_0_description String NSF abstract:\nAbout half of photosynthesis on earth is generated by marine phytoplankton, single celled organisms that drift with tides and currents. Within the phytoplankton, the diatoms conduct nearly half of this photosynthesis, exerting profound control over global carbon cycling. Despite their importance, there are surprisingly fundamental gaps in understanding how diatoms function in their natural environment, in part because methods to assess in situ physiology are lacking. This project focuses on the application of a powerful new approach, called Quantitative Metabolic Fingerprinting (QMF), to address this knowledge gap and examine species-specific physiology in the field. The project will provide transformative insights into how ocean geochemistry controls the distribution of diatoms, the metabolic responses of individual diatom species, and how metabolic potential is partitioned between diatom species, thus providing new insights into the structure and function of marine systems. The overarching goal is to examine how diatom species respond to changes in biogeochemistry across marine provinces, from the coast to the open ocean, by following shifts in diatom physiology using QMF. This research is critical to understand future changes in oceanic phytoplankton in response to climate and environmental change. Furthermore, activities on this project will include supporting a graduate student and postdoctoral fellow and delivering the Artistic Oceanographer Program (AOP) to diverse middle school age children and teachers in the NYC metropolitan area and to middle-school girls in the Girl Scouts of RI, reaching an anticipated 60 children and 30 teachers annually. The programs will foster multidisciplinary hands-on learning and will directly impact STEM education at a critical point in the pipeline by targeting diverse middle-school aged groups in both NY and RI.\nIn laboratory studies with cultured isolates, there are profound differences among diatom species' responses to nutrient limitation. Thus, it is likely that different species contribute differently to nutrient uptake, carbon flux and burial. However, marine ecosystem models often rely on physiological attributes drawn from just one species and apply those attributes globally (e.g. coastal species used to model open ocean dynamics) or choose a single average value to represent all species across the world's oceans. In part, this is due to a relatively poor understanding of diatom physiological ecology and a limited tool set for assessing in situ diatom physiological ecology. This research project will address this specific challenge by explicitly tracking metabolic pathways, measuring their regulation and determining their taxonomic distribution in a suite of environmentally significant diatoms using a state of the art, species-specific approach. A research expedition is set in the North Atlantic, a system that plays a major role in carbon cycling. Starting with a New England coastal shelf site, samples will be collected from the coast where diatoms thrive, to the open ocean and a site of a long term ocean time series station (the Bermuda Atlantic Time Series) where diatom growth is muted by nutrient limitation. This research takes advantage of new ocean observatories initiative (OOI) and time series information. Through the research expedition and downstream laboratory experiments, the molecular pathways of nutrient metabolism and related gene expression in a suite of environmentally significant diatoms will be identified. Data will be combined to predict major limiting factors and potentially important substrates for diatoms across marine provinces. Importantly, this integrated approach takes advantage of new advances in molecular and bioinformatics tools to examine in situ physiological ecology at the species-specific level, a key knowledge gap in the field.
attribute NC_GLOBAL projects_0_end_date String 2019-08
attribute NC_GLOBAL projects_0_geolocation String North Atlantic
attribute NC_GLOBAL projects_0_name String Collaborative Research: Defining the biogeochemical drivers of diatom physiological ecology in the North Atlantic
attribute NC_GLOBAL projects_0_project_nid String 704768
attribute NC_GLOBAL projects_0_start_date String 2016-09
attribute NC_GLOBAL projects_1_acronym String Phosphorus Redox Cycling
attribute NC_GLOBAL projects_1_description String NSF Award Abstract:\nRedox Cycling of Phosphorus in the Western North Atlantic Ocean\nBenjamin Van Mooy\nID: 1536346\nUnderstanding controls on the growth of plankton in the upper ocean, which plays an essential role in the sequestration of carbon dioxide, is an important endeavor for chemical oceanography. Phosphorus is an essential element for marine plankton, and has been a research focus of chemical oceanography for nearly a century. Yet, phosphorus redox cycling rates are almost completely unknown throughout the ocean, and the specific molecular identities of the phosphonates, a form of phosphate, in seawater have defied elucidation. This project will explore and refine entirely new pathways for the biological cycling of phosphorus. This project will support teaching and learning by funding the PhD research of a graduate student, and through the continuation of conducting K-12 classroom laboratory modules and hosting 6-8th grade science fair participants in the investigator's lab.\nPhosphorus has never been viewed by oceanographers as an element that actively undergoes chemical redox reactions in the water column, and it was believed to occur only in the +5 valence state, in compounds such as phosphate. However, over the last 17 years, numerous lines of geochemical and genomic information have emerged to show that phosphorus in the +3 valence state (P(+3)), particularly dissolved phosphonate compounds, may play a very important role within open ocean planktonic communities. This is particularly true in oligotrophic gyres such as the Sargasso Sea, where growth of phytoplankton can be limited by the scarcity of phosphate. To better understand these new data, the investigators will design and execute a research program that spans at-sea chemical oceanographic experimentation, state-of-the-art chromatography and mass spectrometry, and novel organic synthesis of 33P-labeled P(+3) compounds. Specifically, they will answer questions about rates of production and consumption of low molecular weight P(+3) compounds, the impact of phosphate availability on the production and consumption of P(+3) compounds, and the groups of phytoplankton that utilize low molecular weight P(+3) compounds. Results of this project have the potential to contribute to the transformation of our understanding of the marine phosphorus cycle.
attribute NC_GLOBAL projects_1_end_date String 2018-09
attribute NC_GLOBAL projects_1_geolocation String western north Atlantic
attribute NC_GLOBAL projects_1_name String Redox Cycling of Phosphorus in the Western North Atlantic Ocean
attribute NC_GLOBAL projects_1_project_nid String 746565
attribute NC_GLOBAL projects_1_start_date String 2015-10
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 standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String This dataset includes redox data from RV/Atlantic Explorer AE1812 in the northwest Atlantic, May 2018.
attribute NC_GLOBAL title String [AE1812 Redox data] - Redox data from RV/Atlantic Explorer AE1812 in the northwest Atlantic, May 2018 (Collaborative Research: Defining the biogeochemical drivers of diatom physiological ecology in the North Atlantic)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable Station byte
attribute Station _FillValue byte 127
attribute Station actual_range byte 1, 14
attribute Station bcodmo_name String station
attribute Station description String Numeric identifier for the station where the data was collected.
attribute Station long_name String Station
attribute Station units String unitless
variable CTD_Cast byte
attribute CTD_Cast _FillValue byte 127
attribute CTD_Cast actual_range byte 2, 40
attribute CTD_Cast bcodmo_name String cast
attribute CTD_Cast description String Numeric identifier for the CTD cast where the data was collected.
attribute CTD_Cast long_name String CTD Cast
attribute CTD_Cast units String unitless
variable Sample_type String
attribute Sample_type bcodmo_name String sample_type
attribute Sample_type description String Sample type: Comm.=Whole community; CommD.=Whole communinty in dark incubation; Tricho.=Trichodesmium colonies; Sed.=Sinking particles
attribute Sample_type long_name String Sample Type
attribute Sample_type units String unitless
variable depth double
attribute depth _CoordinateAxisType String Height
attribute depth _CoordinateZisPositive String down
attribute depth _FillValue double NaN
attribute depth actual_range double 4.0, 172.0
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 Depth at which the samples were collected.
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 P33_PO4_incorp_PIII_rate String
attribute P33_PO4_incorp_PIII_rate bcodmo_name String unknown
attribute P33_PO4_incorp_PIII_rate description String 33P-phosphate incorporation into P(III) compounds (blank corrected).
attribute P33_PO4_incorp_PIII_rate long_name String P33 PO4 Incorp PIII Rate
attribute P33_PO4_incorp_PIII_rate units String counts per minutes per liter per hour (cpm/(L h))
variable P33_PO4_uptake String
attribute P33_PO4_uptake bcodmo_name String P33_PO4_uptake
attribute P33_PO4_uptake description String 33P-phosphate uptake (blank corrected)
attribute P33_PO4_uptake long_name String P33 PO4 Uptake
attribute P33_PO4_uptake units String counts per minutes per liter per hour (cpm/(L h))
variable P33_PO4_incorp_PIII_pcent float
attribute P33_PO4_incorp_PIII_pcent _FillValue float NaN
attribute P33_PO4_incorp_PIII_pcent actual_range float 0.23, 74.6
attribute P33_PO4_incorp_PIII_pcent bcodmo_name String unknown
attribute P33_PO4_incorp_PIII_pcent description String Percentage of 33P-phosphate incorporation into P(III) compounds
attribute P33_PO4_incorp_PIII_pcent long_name String Mass Concentration Of Phosphate In Sea Water
attribute P33_PO4_incorp_PIII_pcent units String percentage (%)

 
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