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Row Type | Variable Name | Attribute Name | Data Type | Value |
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attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson |
attribute | NC_GLOBAL | acquisition_description | String | Field sampling: Surface seawater (5\\u201335 m) was collected in September 2016\nduring two sampling campaigns in the coastal western North Atlantic (Diaz et\nal., 2018; Supplementary Table S1). Three sites were sampled aboard the R/V\nEndeavor using a Niskin rosette sampler and incubated immediately in order to\ndetermine rates of P hydrolysis. Two sites accessible by small boat in Woods\nHole Harbor and Buzzard's Bay, MA, were sampled utilizing a peristaltic pump.\nThese samples were transported on ice packs and analyzed for P hydrolysis\nrates within 5\\u20136 hours of collection. Additional samples were preserved\nand analyzed for chlorophyll, bacteria and phytoplankton abundance, and\nsoluble reactive P (SRP), as detailed below.\n \nChlorophyll: In the dark, 250 mL of seawater was filtered onto 25 mm GF/F\nfilters. Samples were stored in the dark at -20C until analyzed according to\nprotocols adapted from Strickland and Parsons (1972). Briefly, samples were\nextracted in 90% acetone in the dark (4C, 9 hr) and measured using a 10AU\nfluorometer (Turner). Sample signals were calibrated using a chlorophyll-a\nstandard (Sigma) and were corrected for phaeopigments by accounting for the\nfluorescence of extracts before and after acidification to 0.003 M HCl.\n \nAbundance of bacteria and phytoplankton: Seawater samples were preserved for\nflow cytometry with 0.5% glutaraldehyde (final concentration), flash frozen in\nliquid nitrogen and stored at -80\\u00b0C until analysis. Bacteria and group-\nspecific phytoplankton counts were conducted on a Guava EasyCyte HT flow\ncytometer (Millipore). Instrument-specific beads were used to calibrate the\ncytometer. Samples were analyzed at a low flow rate (0.24 \\u00b5L\ns\\u207b\\u00b9) for 3 min. To enumerate bacteria, samples were diluted (1:100)\nwith filtered seawater (0.01 \\u00b5m). Samples and filtered seawater blanks\nwere stained with SYBR Green I (Invitrogen) according to the manufacturer's\ninstructions and incubated in a 96-well plate in the dark at room temperature\nfor 1 hr. Bacterial cells were counted based on diagnostic forward scatter vs.\ngreen fluorescence signals. Major phytoplankton groups were distinguished\nbased on plots of forward scatter vs. orange (phycoerythrin-containing\nSynechococcus sp.), and forward scatter vs. red (eukaryotes). Size classes of\neukaryotic phytoplankton were further distinguished based on forward scatter\n(pico-, nano- and large eukaryotes).\n \nSoluble reactive P: Seawater samples were collected from Niskin rosette\nbottles or the peristaltic pump into acid cleaned, high density polyethylene\nbottles. Samples used for determining in situ SRP concentrations were frozen\nand stored upright at -20\\u00b0C until analysis. Field samples and diatom\nfiltrates were both analyzed for SRP using a standard colorimetric method\n(Hansen and Koroleff, 1999). To determine in situ SRP concentrations in field\nsamples, SRP analysis was conducted using a 4 cm glass spectrophotometry cell\non triplicate subsamples, and the detection limit, defined as three times the\nstandard deviation of replicate blank measurements, was 115 nmol L\\u207b\\u00b9\nSRP. For incubations to determine P hydrolysis rates (see below), replicate\nsamples were analyzed in clear 96-well plates on a multimode plate reader\n(Molecular Devices) with a detection limit of 800 nmol L\\u207b\\u00b9 P.\n \nP-hydrolysis of model DOP substrates: Field samples were incubated with the\nfluorogenic probe 4-methylumbeliferone phosphate (MUF-P) and two inorganic\npolyphosphate compounds with an average chain length of 3 or 45 P atoms.\n \nSamples were amended with each substrate at a final concentration of 20 M P.\nThis concentration was assumed to be rate-saturating based on preliminary\nexperiments. Hydrolysis of polyphosphates was determined from the production\nof phosphate using the colorimetric protocol outlined above. Hydrolysis of the\nfluorogenic probe MUF-P was monitored using a standard fluorescence technique.\nBriefly, hydrolysis of MUF-P to 4-methylumbellierone (MUF) was measured\n(excitation: 359 nm, emission: 449 nm) and calibrated with a multi-point\nstandard curve of MUF (10\\u2013500 nmol L\\u207b\\u00b9). In both methods,\nsamples were corrected for substrate autohydrolysis by accounting for negative\ncontrols, which were filtered (0.2 m) and boiled (99C, 15 min) prior to P\namendment in order to eliminate enzyme activity. See Diaz et al. 2018\nFrontiers in Marine Science 5: 380 for full methods. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 757060 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1559124 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1559124 |
attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
attribute | NC_GLOBAL | awards_0_program_manager | String | Henrietta N Edmonds |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 51517 |
attribute | NC_GLOBAL | awards_1_award_nid | String | 757065 |
attribute | NC_GLOBAL | awards_1_award_number | String | OCE-1559087 |
attribute | NC_GLOBAL | awards_1_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1559087 |
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 | Henrietta N Edmonds |
attribute | NC_GLOBAL | awards_1_program_manager_nid | String | 51517 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Phosphohydrolysis rates in the coastal western North Atlantic \n PI: Julia Diaz (SkIO) \n Co-PI: Yuanzhi Tang (GA Tech) \n Version date: 08-May-2019 |
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 | 2019-05-07T20:18:53Z |
attribute | NC_GLOBAL | date_modified | String | 2019-05-14T13:44:05Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.767022.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -70.66917 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 41.54397 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 39.41208 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -70.66917 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -73.24917 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 35.0 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 5.0 |
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/767022 |
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 | 767235 |
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 | Turner Fluorometer -10AU |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 767237 |
attribute | NC_GLOBAL | instruments_1_description | String | The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA) |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/ |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Turner Designs Fluorometer -10-AU |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 464 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | 10AU fluorometer (Turner) |
attribute | NC_GLOBAL | instruments_2_acronym | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 767238 |
attribute | NC_GLOBAL | instruments_2_description | String | Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells.\n(from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm) |
attribute | NC_GLOBAL | instruments_2_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB37/ |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Flow Cytometer |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 660 |
attribute | NC_GLOBAL | instruments_2_supplied_name | String | Guava EasyCyte HT flow cytometer (Millipore) |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_nid | String | 767236 |
attribute | NC_GLOBAL | instruments_3_description | String | A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps |
attribute | NC_GLOBAL | instruments_3_instrument_name | String | Pump |
attribute | NC_GLOBAL | instruments_3_instrument_nid | String | 726 |
attribute | NC_GLOBAL | instruments_3_supplied_name | String | peristaltic pump |
attribute | NC_GLOBAL | instruments_4_dataset_instrument_nid | String | 767239 |
attribute | NC_GLOBAL | instruments_4_description | String | Plate readers (also known as microplate readers) are laboratory instruments designed to detect biological, chemical or physical events of samples in microtiter plates. They are widely used in research, drug discovery, bioassay validation, quality control and manufacturing processes in the pharmaceutical and biotechnological industry and academic organizations. Sample reactions can be assayed in 6-1536 well format microtiter plates. The most common microplate format used in academic research laboratories or clinical diagnostic laboratories is 96-well (8 by 12 matrix) with a typical reaction volume between 100 and 200 uL per well. Higher density microplates (384- or 1536-well microplates) are typically used for screening applications, when throughput (number of samples per day processed) and assay cost per sample become critical parameters, with a typical assay volume between 5 and 50 µL per well. Common detection modes for microplate assays are absorbance, fluorescence intensity, luminescence, time-resolved fluorescence, and fluorescence polarization. From: https://en.wikipedia.org/wiki/Plate_reader, 2014-09-0-23. |
attribute | NC_GLOBAL | instruments_4_instrument_name | String | plate reader |
attribute | NC_GLOBAL | instruments_4_instrument_nid | String | 528693 |
attribute | NC_GLOBAL | instruments_4_supplied_name | String | multimode plate reader (Molecular Devices) |
attribute | NC_GLOBAL | keywords | String | abundance, bacterial, Bacterial_abundance, Bacterial_abundance_to_Total_phytoplankton, bco, bco-dmo, biological, chemical, chemistry, chlorophyll, concentration, concentration_of_chlorophyll_in_sea_water, data, dataset, density, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Salinity/Density > Salinity, erddap, eukaryotic, hydrolysis, inorganic, Inorganic_poly_P_hydrolysis, large, Large_eukaryotic_phytoplankton, latitude, longitude, management, muf, MUF_P_hydrolysis, nanoeukaryotic, Nanoeukaryotic_phytoplankton, ocean, oceanography, oceans, office, phytoplankton, picoeukaryotic, Picoeukaryotic_phytoplankton, poly, practical, preliminary, reactive, salinity, science, sea, sea_water_practical_salinity, seawater, soluble, Soluble_reactive_P, spp, station, synechococcus, Synechococcus_spp, temperature, total, Total_phytoplankton, water |
attribute | NC_GLOBAL | keywords_vocabulary | String | GCMD Science Keywords |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/767022/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/767022 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 41.54397 |
attribute | NC_GLOBAL | param_mapping | String | {'767022': {'Lat': 'flag - latitude', 'Depth': 'flag - depth', 'Long': 'flag - longitude'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/767022/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Skidaway Institute of Oceanography |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | SkIO |
attribute | NC_GLOBAL | people_0_person_name | String | Julia Diaz |
attribute | NC_GLOBAL | people_0_person_nid | String | 747718 |
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 | Georgia Institute of Technology |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | Georgia Tech |
attribute | NC_GLOBAL | people_1_person_name | String | Yuanzhi Tang |
attribute | NC_GLOBAL | people_1_person_nid | String | 757067 |
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 | PolyP and P-minerals |
attribute | NC_GLOBAL | projects_0_acronym | String | PolyP and P-minerals |
attribute | NC_GLOBAL | projects_0_description | String | NSF Award Abstract:\nPhosphorous is an important nutrient sustaining all forms of life. In particular, in the ocean, phosphorous is a key limiting nutrient, controlling levels of primary productivity across large swaths of the ocean. Removal of phosphorous occurs largely via formation of stable apatite minerals in ocean sediments. However, average ocean conditions generally inhibit the formation of apatite, thus the abundance of apatite minerals in marine sediments is a mystery. This research aims to determine the mechanisms of apatite formation in the ocean to answer this century-old question. Evaluating these mechanisms will greatly advance current understanding of phosphorous cycling in the ocean. A more detailed understanding of phosphorous cycling can be applied across the disciplines of ocean science, and because of the importance of phosphorous as a nutrient and an element with a variety of interactions with other elements, it will be applicable to a variety of other research questions. The researchers are dedicated to promoting diversity in ocean science and plan to include undergraduate students from underrepresented groups in the study. They will also mentor a postdoc and communicate their science to the public and K-12 teachers via a blog entitled ?Britannica Blog?, the Atlanta Science Festival, a rock show, and educational material, the latter two to be developed as part of this work.\nMarine phosphorous burial via authigenic stable apatite formation in sediments is a major pathway for phosphorous removal in the ocean. However, in most marine environments, under natural conditions, this process is kinetically inhibited. It has been a mystery for more than a century as to how it is therefore possible for apatite to be oversaturated in large areas of marine sediments. A possible mechanism that could explain 95% of the apatite burial flux is that apatite minerals are precipitated as fine-grained particles from exogenous polyphosphate intermediates. Exogenous polyphosphates have been understudied, despite this possible importance as a mechanism for phosphorous removal. As a consequence this research could revolutionize current understanding of phosphorous cycling in the ocean for the major aim is to make a thorough and detailed study of the mechanisms behind marine apatite formation, focusing on the role of exogenous polyphosphate particles. Phosphorous is an element with widespread importance in ocean sciences, and more clearly understanding its burial will have applications across the disciplines. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2020-01 |
attribute | NC_GLOBAL | projects_0_name | String | Collaborative Research: Exploring the role of exogenous polyphosphate in the precipitation of calcium phosphate minerals in the marine environment |
attribute | NC_GLOBAL | projects_0_project_nid | String | 757061 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2016-02 |
attribute | NC_GLOBAL | publisher_name | String | Biological and Chemical Oceanographic Data Management Office (BCO-DMO) |
attribute | NC_GLOBAL | publisher_type | String | institution |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | Southernmost_Northing | double | 39.41208 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Phosphohydrolysis rates from samples collected in the coastal western North Atlantic on R/V Endeavor cruise EN588 during September 2016. |
attribute | NC_GLOBAL | title | String | [Phosphohydrolysis rates in the coastal western North Atlantic] - Phosphohydrolysis rates from samples collected in the coastal western North Atlantic on R/V Endeavor cruise EN588 during September 2016 (Collaborative Research: Exploring the role of exogenous polyphosphate in the precipitation of calcium phosphate minerals in the marine environment) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -73.24917 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | Station | String | ||
attribute | Station | bcodmo_name | String | station |
attribute | Station | description | String | Station name |
attribute | Station | long_name | String | Station |
attribute | Station | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 39.41208, 41.54397 |
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 |
attribute | latitude | ioos_category | String | Location |
attribute | latitude | long_name | String | Latitude |
attribute | latitude | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/LATX/ |
attribute | latitude | standard_name | String | latitude |
attribute | latitude | units | String | degrees_north |
variable | longitude | double | ||
attribute | longitude | _CoordinateAxisType | String | Lon |
attribute | longitude | _FillValue | double | NaN |
attribute | longitude | actual_range | double | -73.24917, -70.66917 |
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 (negative values = 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/ |
attribute | longitude | source_name | String | Long |
attribute | longitude | standard_name | String | longitude |
attribute | longitude | units | String | degrees_east |
variable | depth | double | ||
attribute | depth | _CoordinateAxisType | String | Height |
attribute | depth | _CoordinateZisPositive | String | down |
attribute | depth | _FillValue | double | NaN |
attribute | depth | actual_range | double | 5.0, 35.0 |
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 |
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 | Temperature | float | ||
attribute | Temperature | _FillValue | float | NaN |
attribute | Temperature | actual_range | float | 11.2, 22.7 |
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/ |
attribute | Temperature | units | String | degrees Celsius |
variable | Salinity | float | ||
attribute | Salinity | _FillValue | float | NaN |
attribute | Salinity | actual_range | float | 24.4, 32.8 |
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/ |
attribute | Salinity | units | String | PSU? |
variable | Inorganic_poly_P_hydrolysis | float | ||
attribute | Inorganic_poly_P_hydrolysis | _FillValue | float | NaN |
attribute | Inorganic_poly_P_hydrolysis | actual_range | float | 3.8, 19.3 |
attribute | Inorganic_poly_P_hydrolysis | bcodmo_name | String | P |
attribute | Inorganic_poly_P_hydrolysis | description | String | Inorganic poly-P hydrolysis |
attribute | Inorganic_poly_P_hydrolysis | long_name | String | Inorganic Poly P Hydrolysis |
attribute | Inorganic_poly_P_hydrolysis | units | String | nanomoles P per liter per hour (nmol P/L/hr) |
variable | MUF_P_hydrolysis | float | ||
attribute | MUF_P_hydrolysis | _FillValue | float | NaN |
attribute | MUF_P_hydrolysis | actual_range | float | 1.4, 50.6 |
attribute | MUF_P_hydrolysis | bcodmo_name | String | P |
attribute | MUF_P_hydrolysis | description | String | MUF-P hydrolysis |
attribute | MUF_P_hydrolysis | long_name | String | MUF P Hydrolysis |
attribute | MUF_P_hydrolysis | units | String | nmol P/L/hr |
variable | Soluble_reactive_P | short | ||
attribute | Soluble_reactive_P | _FillValue | short | 32767 |
attribute | Soluble_reactive_P | actual_range | short | 147, 890 |
attribute | Soluble_reactive_P | bcodmo_name | String | P |
attribute | Soluble_reactive_P | description | String | Soluble reactive P |
attribute | Soluble_reactive_P | long_name | String | Soluble Reactive P |
attribute | Soluble_reactive_P | units | String | nanomoles per liter (nmol/L) |
variable | Chlorophyll | float | ||
attribute | Chlorophyll | _FillValue | float | NaN |
attribute | Chlorophyll | actual_range | float | 0.56, 3.06 |
attribute | Chlorophyll | bcodmo_name | String | chlorophyll a |
attribute | Chlorophyll | colorBarMaximum | double | 30.0 |
attribute | Chlorophyll | colorBarMinimum | double | 0.03 |
attribute | Chlorophyll | colorBarScale | String | Log |
attribute | Chlorophyll | description | String | Chlorophyll |
attribute | Chlorophyll | long_name | String | Concentration Of Chlorophyll In Sea Water |
attribute | Chlorophyll | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/ |
attribute | Chlorophyll | units | String | micrograms per liter (ug/L) |
variable | Bacterial_abundance | float | ||
attribute | Bacterial_abundance | _FillValue | float | NaN |
attribute | Bacterial_abundance | actual_range | float | 7.12, 37.9 |
attribute | Bacterial_abundance | bcodmo_name | String | abundance |
attribute | Bacterial_abundance | description | String | Bacterial abundance |
attribute | Bacterial_abundance | long_name | String | Bacterial Abundance |
attribute | Bacterial_abundance | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Bacterial_abundance | units | String | 10^5 cells per milliiter (10^5 cells/mL) |
variable | Total_phytoplankton | float | ||
attribute | Total_phytoplankton | _FillValue | float | NaN |
attribute | Total_phytoplankton | actual_range | float | 0.99, 22.0 |
attribute | Total_phytoplankton | bcodmo_name | String | abundance |
attribute | Total_phytoplankton | description | String | Total phytoplankton |
attribute | Total_phytoplankton | long_name | String | Total Phytoplankton |
attribute | Total_phytoplankton | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Total_phytoplankton | units | String | 10^4 cells/mL |
variable | Synechococcus_spp | float | ||
attribute | Synechococcus_spp | _FillValue | float | NaN |
attribute | Synechococcus_spp | actual_range | float | 0.37, 15.5 |
attribute | Synechococcus_spp | bcodmo_name | String | abundance |
attribute | Synechococcus_spp | description | String | Synechococcus spp. |
attribute | Synechococcus_spp | long_name | String | Synechococcus Spp |
attribute | Synechococcus_spp | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Synechococcus_spp | units | String | 10^4 cells/mL |
variable | Picoeukaryotic_phytoplankton | float | ||
attribute | Picoeukaryotic_phytoplankton | _FillValue | float | NaN |
attribute | Picoeukaryotic_phytoplankton | actual_range | float | 0.44, 35.4 |
attribute | Picoeukaryotic_phytoplankton | bcodmo_name | String | abundance |
attribute | Picoeukaryotic_phytoplankton | description | String | Picoeukaryotic phytoplankton |
attribute | Picoeukaryotic_phytoplankton | long_name | String | Picoeukaryotic Phytoplankton |
attribute | Picoeukaryotic_phytoplankton | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Picoeukaryotic_phytoplankton | units | String | 10^3 cells/mL |
variable | Nanoeukaryotic_phytoplankton | float | ||
attribute | Nanoeukaryotic_phytoplankton | _FillValue | float | NaN |
attribute | Nanoeukaryotic_phytoplankton | actual_range | float | 1.05, 19.5 |
attribute | Nanoeukaryotic_phytoplankton | bcodmo_name | String | abundance |
attribute | Nanoeukaryotic_phytoplankton | description | String | Nanoeukaryotic phytoplankton |
attribute | Nanoeukaryotic_phytoplankton | long_name | String | Nanoeukaryotic Phytoplankton |
attribute | Nanoeukaryotic_phytoplankton | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Nanoeukaryotic_phytoplankton | units | String | 10^3 cells/mL |
variable | Large_eukaryotic_phytoplankton | float | ||
attribute | Large_eukaryotic_phytoplankton | _FillValue | float | NaN |
attribute | Large_eukaryotic_phytoplankton | actual_range | float | 0.78, 13.7 |
attribute | Large_eukaryotic_phytoplankton | bcodmo_name | String | abundance |
attribute | Large_eukaryotic_phytoplankton | description | String | Large eukaryotic phytoplankton |
attribute | Large_eukaryotic_phytoplankton | long_name | String | Large Eukaryotic Phytoplankton |
attribute | Large_eukaryotic_phytoplankton | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Large_eukaryotic_phytoplankton | units | String | 10^2 cells/mL |
variable | Bacterial_abundance_to_Total_phytoplankton | byte | ||
attribute | Bacterial_abundance_to_Total_phytoplankton | _FillValue | byte | 127 |
attribute | Bacterial_abundance_to_Total_phytoplankton | actual_range | byte | 17, 125 |
attribute | Bacterial_abundance_to_Total_phytoplankton | bcodmo_name | String | abundance |
attribute | Bacterial_abundance_to_Total_phytoplankton | description | String | Ratio of Bacterial abundance:Total phytoplankton |
attribute | Bacterial_abundance_to_Total_phytoplankton | long_name | String | Bacterial Abundance To Total Phytoplankton |
attribute | Bacterial_abundance_to_Total_phytoplankton | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | Bacterial_abundance_to_Total_phytoplankton | units | String | unitless |