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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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set | data | graph | files | public | [Doliolid diet: zooplankton abundance] - Zooplankton community abundances from meter net tows on multiple cruises on RV/Savannah in the South Atlantic Bight, Mid-Continental Shelf from 2015-2017 (The cryptic diet of the globally significant pelagic tunicate Dolioletta gegenbauri (Uljanin, 1884.)) | F I M | background | BCO-DMO | bcodmo_dataset_692753 |
Row Type | Variable Name | Attribute Name | Data Type | Value |
---|---|---|---|---|
attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt |
attribute | NC_GLOBAL | acquisition_description | String | Zooplankton was collected from 31\u00b0N to 29\u00b0N aboard the R/V Savannah at the 25m and 40m isobaths using a 1M (mouth opening) 5M length 200 \u00b5m mesh cone plankton net equipped with a filtering (202 \u00b5m mesh) cod- end.\u00a0 The mouth of the net was mounted in a swivel towing frame that allowed the opening of the net to track the water current. A mechanical flow meter (General Oceanics Part# 2030RC) was mounted in the center of the net. [Flowmeter measurements for 2015 cruises (pdf)](\\"http://dmoserv3.bco- dmo.org/data_docs/Doliolid_Diet/Frischer_Flowmeter_Zooplankton_tows.pdf\\") The net was deployed from a gently drifting ship and the entire water column was sampled by lowering the net to near the bottom and retrieving it (oblique tow).\u00a0 Net speed was maintained at approximately 15 meters per minute. Once retrieved the contents of the net were collected on a 200 \u00b5m sieve and preserved in 60% non-denatured ethanol. Samples were split twice to create four subsamples using a Folsom plankton splitter. One of the subsamples was diluted to a known volume and stirred gently. Dilutions were adjusted depending on the density of zooplankton so that sufficient numbers of species were present in each sample to obtain a reliable estimate of the major taxonomic groups in each sample. Replicate aliquots from the subsample were counted under a dissecting microscope using a Bogorov counting chamber. The volume of sample counted was adjusted based on the density of zooplankton present but was generally 5 ml. A Stempel pipette was used to dispense the counted volume. In the case where the identity was uncertain, representative examples of the unidentified zooplankton were identified by DNA barcoding.\u00a0 DNA extractions were performed using the DNeasy Blood & Tissue Kit (Qiagen) according to manufacturer\u2019s protocol except that samples were macerated and homogenized with Kimble/Kontes Cordless Motor, the proteinase K incubation was extended to ~24 hours (overnight) and the volume of elution buffer AE varied depending on sample size (60ul for most). For DNA quantitation and quality testing, one (1) ul of DNA was used to measure the 260/280 ratio using the Thermo Scientific\u2122\u00a0 NanoDrop Lite Spectrophotometer.\u00a0 The presence of high molecular weight DNA in each extract was visually confirmed by agarose (1%) gel electrophoresis.\u00a0 Good quality DNA extractions, inferred by 260/280 ratio and electrophoresis, were selected for amplification by Polymerase Chain Reaction (PCR) of a fragment of the mitochondrial cytochrome oxidase subunit I (mtCOI) gene.\u00a0 A 708 base-pair mtCOI gene fragment was amplified using the consensus primer pairs LCO-1490 (5\u2019-GGTCAACAAATCATAAAGATATTGG-3\u2019) and HCO-2198 (5\u2019-TAAACTTCAGGGTGACCAAAAAATCA-3\u2019) (Folmer et al. 1994).\u00a0 Amplification was facilitated using a Bio-Rad T100Thermocycler with GoTaq Hot Start Green Master Mix. Cycling conditions were: 10 min at 95 \u00b0C; 35 cycles of 30 sec at 95 \u00b0C, 1 min at 47 \u00b0C and 1 min at 72 \u00b0C; and 10 min at 72 \u00b0C. PCR product quality and quantity was assessed by 2% agarose gel electrophoresis and subsequently sequenced by Eurofins Genomics. DNA sequences obtained were compared to a reference database library using the Basic Local Alignment Search Tool (BLAST) (Altschul et al. 1990) available at the National Center for Biotechnology Information (NCBI) and Bold Systems Identification engine for CO1 gene.\u00a0 |
attribute | NC_GLOBAL | awards_0_award_nid | String | 641282 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1459293 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459293 |
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 | Michael E. Sieracki |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50446 |
attribute | NC_GLOBAL | awards_1_award_nid | String | 641288 |
attribute | NC_GLOBAL | awards_1_award_number | String | OCE-1459510 |
attribute | NC_GLOBAL | awards_1_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1459510 |
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 | Michael E. Sieracki |
attribute | NC_GLOBAL | awards_1_program_manager_nid | String | 50446 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Zooplankton abundance PI: M. Frischer (SkIO) version 3: 2020-04-08 |
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 | 2017-04-28T14:28:51Z |
attribute | NC_GLOBAL | date_modified | String | 2020-04-09T17:31:40Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.26008/1912/bco-dmo.692753.3 |
attribute | NC_GLOBAL | Easternmost_Easting | double | 80.6478 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 31.5675 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 29.9558 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | 80.6478 |
attribute | NC_GLOBAL | geospatial_lon_min | double | 80.1061 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/692753 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Meter Net |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | 1M (mouth opening) 5M length 200 µm mesh cone plankton net equipped with a filtering (202 µm mesh) cod-end. The mouth of the net was mounted in a swivel towing frame that allowed the opening of the net to track the water current. A mechanical flow meter (General Oceanics Part# 2030RC) was mounted in the center of the net. |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 692766 |
attribute | NC_GLOBAL | instruments_0_description | String | A meter net is a plankton net with a one meter diameter opening and a mesh size of .333 mm, towed horizontally, obliquely or vertically, also known as a Ring Net. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/22/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Meter Net |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 433 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | meter net |
attribute | NC_GLOBAL | instruments_1_acronym | String | Automated Sequencer |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 794068 |
attribute | NC_GLOBAL | instruments_1_description | String | General term for a laboratory instrument used for deciphering the order of bases in a strand of DNA. Sanger sequencers detect fluorescence from different dyes that are used to identify the A, C, G, and T extension reactions. Contemporary or Pyrosequencer methods are based on detecting the activity of DNA polymerase (a DNA synthesizing enzyme) with another chemoluminescent enzyme. Essentially, the method allows sequencing of a single strand of DNA by synthesizing the complementary strand along it, one base pair at a time, and detecting which base was actually added at each step. |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Automated DNA Sequencer |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 649 |
attribute | NC_GLOBAL | instruments_2_acronym | String | Flow Meter |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_description | String | Used to measure volume of water passing through the plankton net. |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 794162 |
attribute | NC_GLOBAL | instruments_2_description | String | General term for a sensor that quantifies the rate at which fluids (e.g. water or air) pass through sensor packages, instruments, or sampling devices. A flow meter may be mechanical, optical, electromagnetic, etc. |
attribute | NC_GLOBAL | instruments_2_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/388/ |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Flow Meter |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 650 |
attribute | NC_GLOBAL | instruments_2_supplied_name | String | mechanical flow meter (General Oceanics Part# 2030RC) |
attribute | NC_GLOBAL | instruments_3_acronym | String | Spectrophotometer |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_description | String | Used for DNA quantitation and quality testing. |
attribute | NC_GLOBAL | instruments_3_dataset_instrument_nid | String | 794065 |
attribute | NC_GLOBAL | instruments_3_description | String | An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples. |
attribute | NC_GLOBAL | instruments_3_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB20/ |
attribute | NC_GLOBAL | instruments_3_instrument_name | String | Spectrophotometer |
attribute | NC_GLOBAL | instruments_3_instrument_nid | String | 707 |
attribute | NC_GLOBAL | instruments_3_supplied_name | String | Thermo Scientific™ NanoDrop Lite Spectrophotometer |
attribute | NC_GLOBAL | instruments_4_acronym | String | Thermal Cycler |
attribute | NC_GLOBAL | instruments_4_dataset_instrument_nid | String | 794067 |
attribute | NC_GLOBAL | instruments_4_description | String | General term for a laboratory apparatus commonly used for performing polymerase chain reaction (PCR). The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps. (adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html) |
attribute | NC_GLOBAL | instruments_4_instrument_name | String | PCR Thermal Cycler |
attribute | NC_GLOBAL | instruments_4_instrument_nid | String | 471582 |
attribute | NC_GLOBAL | instruments_4_supplied_name | String | Bio-Rad T100Thermocycler |
attribute | NC_GLOBAL | instruments_5_acronym | String | Folsom Splitter |
attribute | NC_GLOBAL | instruments_5_dataset_instrument_description | String | Used to split plankton samples into equivalent subsamples. |
attribute | NC_GLOBAL | instruments_5_dataset_instrument_nid | String | 692767 |
attribute | NC_GLOBAL | instruments_5_description | String | A Folsom Plankton Splitter is used for sub-sampling of plankton and ichthyoplankton samples. |
attribute | NC_GLOBAL | instruments_5_instrument_name | String | Folsom Plankton Splitter |
attribute | NC_GLOBAL | instruments_5_instrument_nid | String | 540984 |
attribute | NC_GLOBAL | keywords | String | abundance, abundance_m3, aliquot, bco, bco-dmo, biological, cast, chemical, count, count_aliquot_1, count_aliquot_2, count_mean, count_sample, cruise, cruise_id, data, dataset, date, depth, dilution, dilution_factor, dmo, erddap, factor, filt, iso, ISO_DateTime_UTC, latitude, longitude, management, mean, mesh, oceanography, office, preliminary, replicate, sample, splits, station, station_depth_water, taxon, taxon_1, taxon_2, time, time_tow, tow, vol, vol_filt, water |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/692753/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/692753 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 31.5675 |
attribute | NC_GLOBAL | param_mapping | String | {'692753': {'lat_decdeg': 'flag - latitude', 'lon_decdeg': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/692753/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 | Marc E. Frischer |
attribute | NC_GLOBAL | people_0_person_nid | String | 51144 |
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 | Hampton University |
attribute | NC_GLOBAL | people_1_person_name | String | Dr Deidre M. Gibson |
attribute | NC_GLOBAL | people_1_person_nid | String | 641291 |
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 | Doliolid Diet |
attribute | NC_GLOBAL | projects_0_acronym | String | Doliolid Diet |
attribute | NC_GLOBAL | projects_0_description | String | Project description from NSF award abstract: Gelatinous (soft-bodied) zooplankton can play a crucial role in food webs and in cycling of materials in the world's oceans, and it has been suggested that they may become even more important in the future. However, because they are so difficult to study, gelatinous species remain poorly understood. This is especially true for smaller filter feeding gelatinous animals such as pelagic tunicates (salps, larvaceans, and doliolids). For example, it remains unclear what and how much these abundant filter feeders eat in nature and who eats them. This project will address this large and significant knowledge gap by using a combination of new and traditional methods to investigate the diet of the gelatinous pelagic tunicate Dolioletti gegenbauri, a species common on productive continental shelves such as the South Atlantic Bight. This project will also help train the next generation of ocean scientists to be competent in classical biology, modern molecular biology, and ecosystem modeling. Training will also focus on increasing representation of African Americans in the future science, technology, engineering, and math (STEM) workforce. This study will provide the first quantitative estimates of the in situ diet of a key continental shelf gelatinous zooplankton species, the doliolid Dolioletta gegenbauri. Large blooms of doliolids have the potential to control the trophic structure of shelf pelagic ecosystems by shunting primary production to the microbial food web and by limiting copepod production via the consumption of their eggs. The long-term objective is to understand the ecological role and significance of doliolids in continental shelf pelagic ecosystems, specifically the underlying processes that lead to their high level of spatial and temporal patchiness. The basic questions to be addressed here include: What do doliolids eat, in situ, at different life stages? Are early life stages of larger metazoans important components of their diets? Do doliolids act as trophic cascade agents promoting primary production and phytoplankton diversity? Because of methodological challenges, there have not yet been definitive studies addressing these fundamental questions. In this project, the investigators will conduct field-based studies that will combine state-of-the art molecular techniques with more traditional methods in zooplankton ecology to answer questions about trophic interactions. Monthly oceanographic expeditions in the South Atlantic Bight will allow the research team to study wild doliolids at different time points in their life cycle and under different plankton bloom conditions. Application of recently developed molecular diagnostic assays will enable the quantitative description of the diversity and quantity of prey consumed, unbiased by experimental manipulation. Additional experimental and theoretical modeling will allow the investigators to link these data with larger ecological significance and scale. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2018-02 |
attribute | NC_GLOBAL | projects_0_geolocation | String | South Atlantic Bight |
attribute | NC_GLOBAL | projects_0_name | String | The cryptic diet of the globally significant pelagic tunicate Dolioletta gegenbauri (Uljanin, 1884.) |
attribute | NC_GLOBAL | projects_0_project_nid | String | 641283 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2015-03 |
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 | 29.9558 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | subsetVariables | String | mesh |
attribute | NC_GLOBAL | summary | String | Zooplankton community abundances from meter net tows taken on multiple cruises RV/Savannah cruises in the South Atlantic Bight, Mid-Continental Shelf from August 2015 to December 2017. |
attribute | NC_GLOBAL | time_coverage_start | String | 2015-08-04T08:00:00Z |
attribute | NC_GLOBAL | title | String | [Doliolid diet: zooplankton abundance] - Zooplankton community abundances from meter net tows on multiple cruises on RV/Savannah in the South Atlantic Bight, Mid-Continental Shelf from 2015-2017 (The cryptic diet of the globally significant pelagic tunicate Dolioletta gegenbauri (Uljanin, 1884.)) |
attribute | NC_GLOBAL | version | String | 3 |
attribute | NC_GLOBAL | Westernmost_Easting | double | 80.1061 |
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 | cruise identifier |
attribute | cruise_id | long_name | String | Cruise Id |
attribute | cruise_id | units | String | unitless |
variable | date | String | ||
attribute | date | bcodmo_name | String | date |
attribute | date | description | String | local date |
attribute | date | long_name | String | Date |
attribute | date | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/ |
attribute | date | source_name | String | date |
attribute | date | time_precision | String | 1970-01-01 |
attribute | date | units | String | unitless |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 29.9558, 31.5675 |
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 is positive |
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 | source_name | String | lat_decdeg |
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 | 80.1061, 80.6478 |
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 is positive |
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 | lon_decdeg |
attribute | longitude | standard_name | String | longitude |
attribute | longitude | units | String | degrees_east |
variable | cast | String | ||
attribute | cast | bcodmo_name | String | cast |
attribute | cast | description | String | cast number |
attribute | cast | long_name | String | Cast |
attribute | cast | units | String | unitless |
variable | station_depth_water | byte | ||
attribute | station_depth_water | _FillValue | byte | 127 |
attribute | station_depth_water | actual_range | byte | 25, 45 |
attribute | station_depth_water | bcodmo_name | String | depth_w |
attribute | station_depth_water | description | String | sampling depth |
attribute | station_depth_water | long_name | String | Station Depth Water |
attribute | station_depth_water | units | String | meters |
variable | mesh | short | ||
attribute | mesh | _FillValue | short | 32767 |
attribute | mesh | actual_range | short | 202, 202 |
attribute | mesh | bcodmo_name | String | net_mesh |
attribute | mesh | description | String | mesh opening size |
attribute | mesh | long_name | String | Mesh |
attribute | mesh | units | String | microns |
variable | replicate | byte | ||
attribute | replicate | _FillValue | byte | 127 |
attribute | replicate | actual_range | byte | 1, 2 |
attribute | replicate | bcodmo_name | String | tow |
attribute | replicate | description | String | replicate tow number; two tows were taken at each station |
attribute | replicate | long_name | String | Replicate |
attribute | replicate | units | String | unitless |
variable | time_tow | String | ||
attribute | time_tow | bcodmo_name | String | time |
attribute | time_tow | description | String | local time of the replicate tow |
attribute | time_tow | long_name | String | Time Tow |
attribute | time_tow | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/ |
attribute | time_tow | units | String | unitless |
variable | time | double | ||
attribute | time | _CoordinateAxisType | String | Time |
attribute | time | actual_range | double | 1.4386752E9, NaN |
attribute | time | axis | String | T |
attribute | time | bcodmo_name | String | ISO_DateTime_UTC |
attribute | time | description | String | UTC date and time of tow in ISO format: yyyy-mm-ddTHH:MM:SSZ |
attribute | time | ioos_category | String | Time |
attribute | time | long_name | String | ISO Date Time UTC |
attribute | time | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/ |
attribute | time | standard_name | String | time |
attribute | time | time_origin | String | 01-JAN-1970 00:00:00 |
attribute | time | units | String | seconds since 1970-01-01T00:00:00Z |
variable | vol_filt | float | ||
attribute | vol_filt | _FillValue | float | NaN |
attribute | vol_filt | actual_range | float | 0.49, 215.78 |
attribute | vol_filt | bcodmo_name | String | vol_filt |
attribute | vol_filt | description | String | volume of water filtered by net for a replicate tow |
attribute | vol_filt | long_name | String | Vol Filt |
attribute | vol_filt | units | String | cubic meters (m^3) |
variable | splits | byte | ||
attribute | splits | _FillValue | byte | 127 |
attribute | splits | actual_range | byte | 0, 2 |
attribute | splits | bcodmo_name | String | unknown |
attribute | splits | description | String | number of times the sample was split; fraction of sample = 1/n^2 so splits=2 means 1/4 of sample was processed. Except for splits = 0, this means the entire sample was used for the taxonomic count. |
attribute | splits | long_name | String | Splits |
attribute | splits | units | String | splits |
variable | taxon_1 | String | ||
attribute | taxon_1 | bcodmo_name | String | taxon |
attribute | taxon_1 | description | String | taxon 1: holoplankton or meroplankton |
attribute | taxon_1 | long_name | String | Taxon 1 |
attribute | taxon_1 | units | String | unitless |
variable | taxon_2 | String | ||
attribute | taxon_2 | bcodmo_name | String | taxon |
attribute | taxon_2 | description | String | most specific taxonomic group identified |
attribute | taxon_2 | long_name | String | Taxon 2 |
attribute | taxon_2 | units | String | unitless |
variable | dilution_factor | short | ||
attribute | dilution_factor | _FillValue | short | 32767 |
attribute | dilution_factor | actual_range | short | 0, 400 |
attribute | dilution_factor | bcodmo_name | String | unknown |
attribute | dilution_factor | description | String | sample dilution factor |
attribute | dilution_factor | long_name | String | Dilution Factor |
attribute | dilution_factor | units | String | unitless |
variable | count_aliquot_1 | short | ||
attribute | count_aliquot_1 | _FillValue | short | 32767 |
attribute | count_aliquot_1 | actual_range | short | 0, 542 |
attribute | count_aliquot_1 | bcodmo_name | String | count |
attribute | count_aliquot_1 | colorBarMaximum | double | 100.0 |
attribute | count_aliquot_1 | colorBarMinimum | double | 0.0 |
attribute | count_aliquot_1 | description | String | first aliquot raw count from replicate sample split |
attribute | count_aliquot_1 | long_name | String | Count Aliquot 1 |
attribute | count_aliquot_1 | units | String | number of individuals per sample |
variable | count_aliquot_2 | short | ||
attribute | count_aliquot_2 | _FillValue | short | 32767 |
attribute | count_aliquot_2 | actual_range | short | 0, 642 |
attribute | count_aliquot_2 | bcodmo_name | String | count |
attribute | count_aliquot_2 | colorBarMaximum | double | 100.0 |
attribute | count_aliquot_2 | colorBarMinimum | double | 0.0 |
attribute | count_aliquot_2 | description | String | second aliquot raw count from replicate sample split |
attribute | count_aliquot_2 | long_name | String | Count Aliquot 2 |
attribute | count_aliquot_2 | units | String | number of individuals per sample |
variable | count_mean | float | ||
attribute | count_mean | _FillValue | float | NaN |
attribute | count_mean | actual_range | float | 0.0, 592.0 |
attribute | count_mean | bcodmo_name | String | count |
attribute | count_mean | colorBarMaximum | double | 100.0 |
attribute | count_mean | colorBarMinimum | double | 0.0 |
attribute | count_mean | description | String | mean raw count |
attribute | count_mean | long_name | String | Count Mean |
attribute | count_mean | units | String | number of individuals per sample |
variable | count_sample | int | ||
attribute | count_sample | _FillValue | int | 2147483647 |
attribute | count_sample | actual_range | int | 0, 118400 |
attribute | count_sample | bcodmo_name | String | count |
attribute | count_sample | colorBarMaximum | double | 100.0 |
attribute | count_sample | colorBarMinimum | double | 0.0 |
attribute | count_sample | description | String | calculated average abundance of individuals per sample |
attribute | count_sample | long_name | String | Count Sample |
attribute | count_sample | units | String | number of individuals per sample |
variable | abundance_m3 | double | ||
attribute | abundance_m3 | _FillValue | double | NaN |
attribute | abundance_m3 | actual_range | double | 0.0, 45698.32 |
attribute | abundance_m3 | bcodmo_name | String | abundance |
attribute | abundance_m3 | description | String | estimated abundance |
attribute | abundance_m3 | long_name | String | Abundance M3 |
attribute | abundance_m3 | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P03/current/B070/ |
attribute | abundance_m3 | units | String | individuals per cubic meter of water |
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.