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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
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data | graph | files | public | [protist abundance and biomass] - Abundance and biomass of protists from epifluorescence counts and bulk biomass from extracted chl-a from samples from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series Station in 2011-12 (Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea ) | F I M | background | BCO-DMO | bcodmo_dataset_4019 |
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 | Water Column Sampling: Water column sampling was performed on four cruises during the spring and the summer of 2011 and 2012 at the Bermuda Atlantic Time-series Study station (31\u201940\u00b0N 64\u201910\u00b0W, BATS) and in the mesoscale eddies found in the surrounding area of the Sargasso Sea. For each cruise, two stations were sampled, usually in the center of a mesoscale eddy and at BATS. The edge of the eddy was sampled two times, as well. To be able to get a better reproducibility of data, each experiment was replicated. For each experiment, seawater samples were collected pre-dawn (on deck 2:30-4:00, local time) at four different depths within the euphotic zone (20m, 50m, 80m and the Deep Chlorophyll Maximum, DCM). Twenty-one 10L Niskin bottles were attached to a rosette with conductivity, temperature, depth sensors (CTD), and an in vivo fluorometer. This sensor allowed for recording in real time of chlorophyll fluorescence and the DCM for each station. The water that was collected from the 10L Niskin bottles was sampled for abundance and biomass of the plankton community. Bulk measurements: Chlorophyll-a was extracted from seawater (250 ml and 400 ml depending on the dilution), with 90% acetone and measured after 24hrs at 4 degrees C in the dark onboard the ship using a TD 700 Laboratory Fluorometer using the non- acidification technique (Welschmeyer 1994). These data were used as a proxy for the phytoplankton biomass in the water column and to calculate the bulk growth and grazing rates of the phytoplankton community. Microscopy Analyses: To determine cell abundance and the biomass of the protist community (other than ciliates), epifluorescence miscoscopy was used. Ciliate abundance and biomass was determined using bright-field inverted microscopy (Amacher et al. 2009; Neuer and Cowles 1994). Epiflourescence microscopy: 25-50ml of seawater from each depth was filtered onto black membrane filters with 0.2 um pore size. Each sample was fixed first with 0.1 ml of 50% of cold glutaraldehyde, stored for 24 hours at 4 degrees C, and then filtered after addition of 0.2 ml of 1% 4', 6-diamino-2-phenylindole (DAPI). Slides were stored frozen at -20 degrees C onboard ship until transport back to the laboratory at ASU, and stored at -40 degrees C until analysis. The organisms were counted using a ZEISS Axioplan Epifluorescence Microscope equipped with a 100x Plan-NEOFLUAR 100x/1.30 oil, objective lens. Pico, nano and micro plankton were identified and separated in categories based on their approximate geometric shape, size, and on their fluorescence under blue and UV light excitation as described in [Table 1](\\"https://datadocs.bco- dmo.org/docs/richardson_bats/data_docs/neuer/Table1_methodology_neuer.pdf\\") (Amacher et al. 2009, Hansen et al. in prep). Organisms were counted in one to several stripes across the slide. Abundance was then calculated based on number of counted cells, fraction of slide area counted and sample volume. The 95% confidence interval of each organismal count was determined as a function of total cells counted in a given category, according to Lund et al. (1958). The following equations were applied, where x stands for the number of cells counted on each slide: LL = x + 1.42 - 1.960 (sqrt(x + 0.5))\u00a0 [Lower limit] UL = x + 2.42 - 1.960 (sqrt(x + 1.5))\u00a0 [Upper limit] Biomass calculations were done for each category of organism counted. Biovolume for each group was determined based on size and shape of the organism by approximating the closest geometric shape (Hillebrand et al. 1999) and then converted into units of carbon based on the carbon to volume ratio (Menden-Deuer and Lessard 2000). Flow cytometry analyses: Collection and fixation of flow cytometry samples was carried out according to established methods of the BATS program ([http://www.bios.edu/research/projects/bats/](\\"http://www.bios.edu/research/projects/bats/\\")) and analyzed by the group of Co-PI Dr. Mike Lomas. Refer to the original [dataset legend](\\"https://datadocs.bco- dmo.org/docs/richardson_bats/data_docs/neuer/Biomass_Neuer_Legend_011315.pdf\\") (PDF) for more information. |
attribute | NC_GLOBAL | awards_0_award_nid | String | 55163 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1030476 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward?AWD_ID=1030476&HistoricalAwards=false |
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 | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Abundance and biomass of protists based on epifluorescence counts, and bulk biomass based on extracted chl-a measurements. PI: Susanne Neuer (Arizona State U.) Version: 13 January 2015 See Documentation for full taxon names. |
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 | 2013-08-26T14:25:18Z |
attribute | NC_GLOBAL | date_modified | String | 2019-08-05T19:54:12Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.4019.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -63.48 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 33.5 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 30.05 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -63.48 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -65.75 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | geospatial_vertical_max | double | 110.0 |
attribute | NC_GLOBAL | geospatial_vertical_min | double | 20.0 |
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/4019 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Niskin bottle |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Samples were collected using 10-Liter Niskin bottles attached to a CTD rosette. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 6244 |
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_0_supplied_name | String | Niskin bottle |
attribute | NC_GLOBAL | instruments_1_acronym | String | Fluorescence Microscope |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | The organisms were counted using a ZEISS Axioplan Epifluorescence Microscope equipped with a 100x Plan-NEOFLUAR 100x/1.30 oil, objective lens |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 6245 |
attribute | NC_GLOBAL | instruments_1_description | String | A Fluorescence (or Epifluorescence) Microscope Image Analysis System uses semi-automated color image analysis to determine cell abundance, dimensions and biovolumes from an Epifluorescence Microscope. An Epifluorescence Microscope (conventional and inverted) includes a camera system that generates enlarged images of prepared samples. The microscope uses excitation ultraviolet light and the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. |
attribute | NC_GLOBAL | instruments_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB06/ |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Fluorescence Microscope Image Analysis System |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 508 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | Fluorescence Microscope Image Analysis System |
attribute | NC_GLOBAL | instruments_2_acronym | String | TD-700 |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_description | String | Chlorophyll a was extracted from seawater (250 ml and 400 ml depending on the dilution), with 90% acetone and measured after 24hrs at 4 degrees C in the dark onboard ship using a TD 700 Laboratory Fluorometer using the non-acidification technique (Welschmeyer 1994). |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 545858 |
attribute | NC_GLOBAL | instruments_2_description | String | The TD-700 Laboratory Fluorometer is a benchtop fluorometer designed to detect fluorescence over the UV to red range. The instrument can measure concentrations of a variety of compounds, including chlorophyll-a and fluorescent dyes, and is thus suitable for a range of applications, including chlorophyll, water quality monitoring and fluorescent tracer studies. Data can be output as concentrations or raw fluorescence measurements. |
attribute | NC_GLOBAL | instruments_2_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0510/ |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Turner Designs 700 Laboratory Fluorometer |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 694 |
attribute | NC_GLOBAL | instruments_2_supplied_name | String | TD 700 Laboratory Fluorometer |
attribute | NC_GLOBAL | keywords | String | 95pcnt, abund, abund_lower_95pcnt_CI, abund_upper_95pcnt_CI, abundance, bco, bco-dmo, biological, biomass, biovolume, cast, cells, cells_counted, chemical, counted, cruise, cruise_id, data, dataset, date, depth, description, diatoms, diatoms_biomass, dino, dino_biomass, dmo, erddap, experiment, experiment_num, latitude, length, location_description, longitude, lower, management, num, oceanography, office, per, preliminary, protists, protists_biomass, season, season_year, shape, station, taxon, total, total_biomass_per_taxon, upper, width, year |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/4019/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/4019 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 33.5 |
attribute | NC_GLOBAL | param_mapping | String | {'4019': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/4019/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Arizona State University |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | ASU |
attribute | NC_GLOBAL | people_0_person_name | String | Susanne Neuer |
attribute | NC_GLOBAL | people_0_person_nid | String | 51336 |
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 | Arizona State University |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | ASU |
attribute | NC_GLOBAL | people_1_person_name | String | Francesca De Martini |
attribute | NC_GLOBAL | people_1_person_nid | String | 51719 |
attribute | NC_GLOBAL | people_1_role | String | Student |
attribute | NC_GLOBAL | people_1_role_type | String | related |
attribute | NC_GLOBAL | people_2_affiliation | String | Arizona State University |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | ASU |
attribute | NC_GLOBAL | people_2_person_name | String | Susanne Neuer |
attribute | NC_GLOBAL | people_2_person_nid | String | 51336 |
attribute | NC_GLOBAL | people_2_role | String | Contact |
attribute | NC_GLOBAL | people_2_role_type | String | related |
attribute | NC_GLOBAL | people_3_affiliation | String | Woods Hole Oceanographic Institution |
attribute | NC_GLOBAL | people_3_affiliation_acronym | String | WHOI BCO-DMO |
attribute | NC_GLOBAL | people_3_person_name | String | Shannon Rauch |
attribute | NC_GLOBAL | people_3_person_nid | String | 51498 |
attribute | NC_GLOBAL | people_3_role | String | BCO-DMO Data Manager |
attribute | NC_GLOBAL | people_3_role_type | String | related |
attribute | NC_GLOBAL | project | String | Trophic BATS |
attribute | NC_GLOBAL | projects_0_acronym | String | Trophic BATS |
attribute | NC_GLOBAL | projects_0_description | String | Fluxes of particulate carbon from the surface ocean are greatly influenced by the size, taxonomic composition and trophic interactions of the resident planktonic community. Large and/or heavily-ballasted phytoplankton such as diatoms and coccolithophores are key contributors to carbon export due to their high sinking rates and direct routes of export through large zooplankton. The potential contributions of small, unballasted phytoplankton, through aggregation and/or trophic re-packaging, have been recognized more recently. This recognition comes as direct observations in the field show unexpected trends. In the Sargasso Sea, for example, shallow carbon export has increased in the last decade but the corresponding shift in phytoplankton community composition during this time has not been towards larger cells like diatoms. Instead, the abundance of the picoplanktonic cyanobacterium, Synechococccus, has increased significantly. The trophic pathways that link the increased abundance of Synechococcus to carbon export have not been characterized. These observations helped to frame the overarching research question, "How do plankton size, community composition and trophic interactions modify carbon export from the euphotic zone". Since small phytoplankton are responsible for the majority of primary production in oligotrophic subtropical gyres, the trophic interactions that include them must be characterized in order to achieve a mechanistic understanding of the function of the biological pump in the oligotrophic regions of the ocean. This requires a complete characterization of the major organisms and their rates of production and consumption. Accordingly, the research objectives are: 1) to characterize (qualitatively and quantitatively) trophic interactions between major plankton groups in the euphotic zone and rates of, and contributors to, carbon export and 2) to develop a constrained food web model, based on these data, that will allow us to better understand current and predict near-future patterns in export production in the Sargasso Sea. The investigators will use a combination of field-based process studies and food web modeling to quantify rates of carbon exchange between key components of the ecosystem at the Bermuda Atlantic Time-series Study (BATS) site. Measurements will include a novel DNA-based approach to characterizing and quantifying planktonic contributors to carbon export. The well-documented seasonal variability at BATS and the occurrence of mesoscale eddies will be used as a natural laboratory in which to study ecosystems of different structure. This study is unique in that it aims to characterize multiple food web interactions and carbon export simultaneously and over similar time and space scales. A key strength of the proposed research is also the tight connection and feedback between the data collection and modeling components. Characterizing the complex interactions between the biological community and export production is critical for predicting changes in phytoplankton species dominance, trophic relationships and export production that might occur under scenarios of climate-related changes in ocean circulation and mixing. The results from this research may also contribute to understanding of the biological mechanisms that drive current regional to basin scale variability in carbon export in oligotrophic gyres. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2014-09 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Sargasso Sea, BATS site |
attribute | NC_GLOBAL | projects_0_name | String | Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea |
attribute | NC_GLOBAL | projects_0_project_nid | String | 2150 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2010-10 |
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 | Southernmost_Northing | double | 30.05 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | summary | String | Abundance and biomass of protists from epifluorescence counts and bulk biomass from extracted chl-a from samples from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series Station in 2011-12. |
attribute | NC_GLOBAL | title | String | [protist abundance and biomass] - Abundance and biomass of protists from epifluorescence counts and bulk biomass from extracted chl-a from samples from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series Station in 2011-12 (Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea ) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -65.75 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | cruise_id | String | ||
attribute | cruise_id | bcodmo_name | String | cruise_id |
attribute | cruise_id | description | String | Official cruise identifier e.g. AE1102 = R/V Atlantic Explorer cruise number 1102. |
attribute | cruise_id | long_name | String | Cruise Id |
attribute | cruise_id | units | String | dimensionless |
variable | cast | byte | ||
attribute | cast | _FillValue | byte | 127 |
attribute | cast | actual_range | byte | 2, 38 |
attribute | cast | bcodmo_name | String | cast |
attribute | cast | description | String | Cast number. |
attribute | cast | long_name | String | Cast |
attribute | cast | units | String | dimensionless |
variable | station | byte | ||
attribute | station | _FillValue | byte | 127 |
attribute | station | actual_range | byte | 1, 6 |
attribute | station | bcodmo_name | String | station |
attribute | station | description | String | Station number. |
attribute | station | long_name | String | Station |
attribute | station | units | String | dimensionless |
variable | location_description | String | ||
attribute | location_description | bcodmo_name | String | site_descrip |
attribute | location_description | description | String | Description of sampling location. |
attribute | location_description | long_name | String | Location Description |
attribute | location_description | units | String | dimensionless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 30.05, 33.5 |
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. Positive values = 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 | -65.75, -63.48 |
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. Positive values = East. |
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 | 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 | 20.0, 110.0 |
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 | Sample 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 | taxon | String | ||
attribute | taxon | bcodmo_name | String | taxon |
attribute | taxon | description | String | Name of the taxonomic group. Codes: H_dinos = Heterotrophic dinoflagellates H_nano = Heterotrophic nanoflagellates Mixo_dino = Mixotrophic dinoflagellates Nano_Photo_Eukaryotes = Nano Phototrophic Eukaryotes Pico_Photo_Eukaryotes = Pico Phototrophic Eukaryotes Photo_Eukaryotes = Phototrophic Eukaryotes |
attribute | taxon | long_name | String | Taxon |
attribute | taxon | units | String | dimensionless |
variable | total_biomass_per_taxon | float | ||
attribute | total_biomass_per_taxon | _FillValue | float | NaN |
attribute | total_biomass_per_taxon | actual_range | float | 3.5, 10213.0 |
attribute | total_biomass_per_taxon | bcodmo_name | String | biomass_C |
attribute | total_biomass_per_taxon | description | String | Total biomass (pg C/mL) at the particular cast and depth for the taxonomic group. |
attribute | total_biomass_per_taxon | long_name | String | Total Biomass Per Taxon |
attribute | total_biomass_per_taxon | units | String | picograms C per milliliter |
variable | experiment_num | byte | ||
attribute | experiment_num | _FillValue | byte | 127 |
attribute | experiment_num | actual_range | byte | 1, 19 |
attribute | experiment_num | bcodmo_name | String | unknown |
attribute | experiment_num | description | String | Experiment number. |
attribute | experiment_num | long_name | String | Experiment Num |
attribute | experiment_num | units | String | dimensionless |
variable | date | String | ||
attribute | date | bcodmo_name | String | date |
attribute | date | description | String | 2-digit month, 2-digit day, and 4-digit year of sampling. Reported in UTC. Format: mmddYYYY |
attribute | date | long_name | String | Date |
attribute | date | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ |
attribute | date | units | String | unitless |
variable | season_year | String | ||
attribute | season_year | bcodmo_name | String | unknown |
attribute | season_year | description | String | Sampling season and year. |
attribute | season_year | long_name | String | Season Year |
attribute | season_year | units | String | text |
variable | length | float | ||
attribute | length | _FillValue | float | NaN |
attribute | length | actual_range | float | 1.0, 7.5 |
attribute | length | bcodmo_name | String | length |
attribute | length | description | String | Length/diameter (in um). |
attribute | length | long_name | String | Length |
attribute | length | units | String | micrometers |
variable | width | float | ||
attribute | width | _FillValue | float | NaN |
attribute | width | actual_range | float | 1.0, 16.929 |
attribute | width | bcodmo_name | String | unknown |
attribute | width | description | String | Width/height (in um). |
attribute | width | long_name | String | Width |
attribute | width | units | String | micrometers |
variable | shape | String | ||
attribute | shape | bcodmo_name | String | unknown |
attribute | shape | description | String | Description of the 3D shape. |
attribute | shape | long_name | String | Shape |
attribute | shape | units | String | dimensionless |
variable | abundance | float | ||
attribute | abundance | _FillValue | float | NaN |
attribute | abundance | actual_range | float | 7.0, 7263.7 |
attribute | abundance | bcodmo_name | String | abundance |
attribute | abundance | description | String | Abundance (cells/mL). |
attribute | abundance | long_name | String | Abundance |
attribute | abundance | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | abundance | units | String | cells per milliliter |
variable | abund_lower_95pcnt_CI | float | ||
attribute | abund_lower_95pcnt_CI | _FillValue | float | NaN |
attribute | abund_lower_95pcnt_CI | actual_range | float | 15.5, 7433.1 |
attribute | abund_lower_95pcnt_CI | bcodmo_name | String | unknown |
attribute | abund_lower_95pcnt_CI | description | String | Upper 95% confidence interval for abundance. |
attribute | abund_lower_95pcnt_CI | long_name | String | Abund Lower 95pcnt CI |
attribute | abund_lower_95pcnt_CI | units | String | cells per milliliter |
variable | abund_upper_95pcnt_CI | float | ||
attribute | abund_upper_95pcnt_CI | _FillValue | float | NaN |
attribute | abund_upper_95pcnt_CI | actual_range | float | 4.1, 7099.0 |
attribute | abund_upper_95pcnt_CI | bcodmo_name | String | unknown |
attribute | abund_upper_95pcnt_CI | description | String | Lower 95% confidence interval for abundance. |
attribute | abund_upper_95pcnt_CI | long_name | String | Abund Upper 95pcnt CI |
attribute | abund_upper_95pcnt_CI | units | String | cells per milliliter |
variable | cells_counted | short | ||
attribute | cells_counted | _FillValue | short | 32767 |
attribute | cells_counted | actual_range | short | 13, 1935 |
attribute | cells_counted | bcodmo_name | String | count |
attribute | cells_counted | description | String | Number of cells counted. |
attribute | cells_counted | long_name | String | Cells Counted |
attribute | cells_counted | units | String | dimensionless |
variable | biovolume | float | ||
attribute | biovolume | _FillValue | float | NaN |
attribute | biovolume | actual_range | float | 4.5, 55553.0 |
attribute | biovolume | bcodmo_name | String | unknown |
attribute | biovolume | description | String | Biovolume (um^3/mL). |
attribute | biovolume | long_name | String | Biovolume |
attribute | biovolume | units | String | cubic micrometers per milliliter |
variable | dino_biomass | float | ||
attribute | dino_biomass | _FillValue | float | NaN |
attribute | dino_biomass | actual_range | float | 220.8, 1597.6 |
attribute | dino_biomass | bcodmo_name | String | unknown |
attribute | dino_biomass | description | String | Dinoflagellate biomass (pg C/cell). |
attribute | dino_biomass | long_name | String | Dino Biomass |
attribute | dino_biomass | units | String | picograms C per cell |
variable | diatoms_biomass | float | ||
attribute | diatoms_biomass | _FillValue | float | NaN |
attribute | diatoms_biomass | actual_range | float | 80.8, 112.0 |
attribute | diatoms_biomass | bcodmo_name | String | unknown |
attribute | diatoms_biomass | description | String | Diatom biomass (pg C/cell). |
attribute | diatoms_biomass | long_name | String | Diatoms Biomass |
attribute | diatoms_biomass | units | String | picograms C per cell |
variable | protists_biomass | float | ||
attribute | protists_biomass | _FillValue | float | NaN |
attribute | protists_biomass | actual_range | float | 0.9, 6162.2 |
attribute | protists_biomass | bcodmo_name | String | unknown |
attribute | protists_biomass | description | String | Protist biomass (pg C/cell). |
attribute | protists_biomass | long_name | String | Protists Biomass |
attribute | protists_biomass | units | String | picograms C per cell |
The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.