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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 |
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 |
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 |
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 |
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/ |
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 |
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/ |
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/ |
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/ |
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/ |
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 |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/762772 |
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 |
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/ |
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 (%) |