BCO-DMO ERDDAP
Accessing BCO-DMO data |
log in
Brought to you by BCO-DMO |
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 | Location\n \nWater collection sites in the northern Gulf of Mexico, particularly at the\nmouth of Mobile Bay and Little Lagoon, AL.\n \nWater Collection\n \nBriefly, water was collected from the field using a 5-gallon bucket, pre-\nscreened with a 200 \\u00b5m nitex mesh, and gently poured into 10-20 L carboys\nand kept in the dark until returning to the laboratory for same-day\nprocessing.\n \nTerminology\n \ndDA \\u2013 dissolved Domoic Acid \n pDAa \\u2013 particulate Domoic Acid (algal fraction) \n pDAOP \\u2013 particulate Domoic Acid (bound to organic polymers) \n cDA \\u2013 Domoic Acid in copepods \n POC \\u2013 Particulate Organic Carbon\n \nOrganic polymer formation and sorption of DA\n \nSeawater organic polymers were formed in controlled laboratory conditions to\nverify whether they could scavenge dDA (see dataset [https://www.bco-\ndmo.org/dataset/808280](\\\\\"https://www.bco-dmo.org/dataset/808280\\\\\")).\nSurface seawater was collected from Dauphin Island (AL, USA) and filtered\nthrough a new 0.2 \\u00b5m polycap filter (Pall Brand, USA). The freshly\nfiltered seawater was partitioned into 1-L polycarbonate bottles and the\ninitial measurements of dDA, pDA, cDA, pDAOP, and POC were made. POC was used\nas a proxy for organic polymer formation. The same filtration techniques were\nused for dDA and pDA as described above. Laboratory-reared adult Acartia tonsa\nwere collected on a 200 \\u00b5m screen and gently rinsed with freshly filtered\nartificial seawater, then transferred into 2 mL cryovials and stored in\n-20\\u00b0C until analyzed for cDA. Twenty-five mm glass fiber filters were\npre-combusted at 500\\u00b0C for four hours and used to collect organic\npolymers. The organic polymer collection method was modified from Passow et\nal. (1995); loss of organic polymers via filtration was minimized by\nmaintaining low-vacuum (<200 mbar) and filtering samples for a maximum of 15\nminutes. Lastly, the treatment bottles were spiked with a DA standard to bring\nthe final concentration to 10 \\u00b5g DA L-1 and, for specific treatment\nbottles, 30 copepods were added to each bottle. Bottles were then placed on\norbital shaker tables and gently shaken for 24 hours. Controls were not\nshaken. Samples for dDA, pDA, cDA, pDAOP, and POC were collected after the\n24-hour time period.\n \nLiquid chromatography-mass spectrometry method for domoic acid quantification\n \nLC-MS sample preparation followed was modified from Wang et al. (2012) for the\ndetermination of dDA, pDA, pDAOP and cDA. The samples for DA determination\nwere cleaned and concentrated using Bond Elut LRC - C18, 200 mg, solid-phase\nextraction (SPE) columns from Agilent Technologies. For dDA, 30 mL seawater\nsamples were filtered using a 47 mm glass fiber filter; the filtrate was\ncollected and acidified with formic acid to yield a 0.2% final solution. SPE\ncolumns were conditioned with one column volume of HPLC-grade methanol\nfollowed by one column volume of HPLC-grade water. Samples were then loaded on\nthe SPE column and filtered at ~1 mL min-1 using a vacuum manifold, followed\nby 10 mL of 0.2% formic acid as a rinse for the sample tube and SPE column.\nThe SPE column was then allowed to go dry and was eluted with 1.5 mL of 20 mM\nammonium acetate in 50% methanol (pH 8) and collected in a glass tube. The\ntubes were centrifuged for 5 minutes at ~1300 x g, supernatant was transferred\ninto an LC vial with a Pasteur pipette, and stored at 4\\u00b0C until further\nanalysis. For pDAa 100 mL of seawater were filtered through a 5 \\u00b5m\npolycarbonate filter and stored in a 50 mL polypropylene tube at -20\\u00b0C.\nSimilarly, for pDAOP 150 mL of seawater was filtered through a pre-combusted\n25 mm glass-fiber filter and stored at -20\\u00b0C. Prior to concentration and\nclean-up for pDA, pDAOP, and cDA, the filters were submerged in 2 mL of 80%\nmethanol and sonicated to ensure cells and copepods were lysed. Sonication\npulses were done for a total of 45 seconds (5 seconds on/off) on a Sonics\nMaterials Ultrasonic Processor (model - VCX 130) at 75% power. Subsequent\nclean-up using the SPE column is the same as for the dDA samples.\n \nAn ultra-performance liquid chromatography (UPLC) \\u2013 tandem mass\nspectrometry (MS) system was used for the quantification of DA.The LC-MS\nsystem consisted of Acquity UPLC system (Waters, Milford, MA) coupled to a\n5500 QTRAP triple quadrupole / linear ion trap mass spectrometer equipped with\na TurboIonSpray interface (Sciex, Foster City, CA, USA). The analytes were\nseparated on a Luna C18 (2), 2.0 x 100 mm column (Phenomenex, Torrance, CA,\nUSA) with column temperature held at 40\\u00baC. The mobile phase was water (A)\nand 95% aqueous acetonitrile (B) with 0.1% formic acid additive and the flow\nrate was 0.4 ml/min. Gradient program was: 5% B for 3 min, linear gradient to\n60% B at 10 min, 95% B at 10.1 min, hold at 95% B for 2 min. MS was operated\nin positive ion mode. Ion spray voltage was 5 kV and declustering potential\nwas 80 V. Gas parameter settings were: nebulizer gas, 50 psi; turbo gas, 50\npsi at 500\\u00baC; curtain gas, 20 psi; and collision gas, medium setting. The\ncollision energy applied was 25eV. The transitions used for selected reaction\nmonitoring were m/z 312\\u2192266, 193, 220. The transition m/z 312\\u2192266\nwas used for quantitation.\n \nFor field-simulation experiment results and methodology see dataset\n[https://www.bco-dmo.org/dataset/808413](\\\\\"https://www.bco-\ndmo.org/dataset/808413\\\\\") |
attribute | NC_GLOBAL | awards_0_award_nid | String | 712666 |
attribute | NC_GLOBAL | awards_0_award_number | String | OCE-1558957 |
attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1558957 |
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 | Dr Simone Metz |
attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 51479 |
attribute | NC_GLOBAL | awards_1_award_nid | String | 808394 |
attribute | NC_GLOBAL | awards_1_award_number | String | 5U19FD005923-04 |
attribute | NC_GLOBAL | awards_1_data_url | String | https://federalreporter.nih.gov/Projects/Details/?projectId=1156385 |
attribute | NC_GLOBAL | awards_1_funder_name | String | U.S. Food and Drug Administration |
attribute | NC_GLOBAL | awards_1_funding_acronym | String | FDA |
attribute | NC_GLOBAL | awards_1_funding_source_nid | String | 808392 |
attribute | NC_GLOBAL | awards_1_program_manager | String | William Burkhardt |
attribute | NC_GLOBAL | awards_1_program_manager_nid | String | 808393 |
attribute | NC_GLOBAL | cdm_data_type | String | Other |
attribute | NC_GLOBAL | comment | String | Lab DA copepods \n PI: Jeffrey W Krause \n Data Version 1: 2020-06-24 |
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 | dataset_current_state | String | Final and no updates |
attribute | NC_GLOBAL | date_created | String | 2020-04-07T15:26:09Z |
attribute | NC_GLOBAL | date_modified | String | 2020-07-14T18:51:14Z |
attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
attribute | NC_GLOBAL | doi | String | 10.26008/1912/bco-dmo.808402.1 |
attribute | NC_GLOBAL | Easternmost_Easting | double | -87.554261 |
attribute | NC_GLOBAL | geospatial_lat_max | double | 30.278166 |
attribute | NC_GLOBAL | geospatial_lat_min | double | 30.278166 |
attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
attribute | NC_GLOBAL | geospatial_lon_max | double | -87.554261 |
attribute | NC_GLOBAL | geospatial_lon_min | double | -87.554261 |
attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/808402 |
attribute | NC_GLOBAL | institution | String | BCO-DMO |
attribute | NC_GLOBAL | instruments_0_acronym | String | Mass Spec |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Acquity UPLC system (Waters, Milford, MA) coupled to a 5500 QTRAP triple quadrupole / linear ion trap mass spectrometer equipped with a TurboIonSpray interface (Sciex, Foster City, CA, USA). |
attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 808411 |
attribute | NC_GLOBAL | instruments_0_description | String | General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components. |
attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB16/ |
attribute | NC_GLOBAL | instruments_0_instrument_name | String | Mass Spectrometer |
attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 685 |
attribute | NC_GLOBAL | instruments_0_supplied_name | String | Acquity UPLC system coupled to a 5500 QTRAP |
attribute | NC_GLOBAL | instruments_1_acronym | String | Homogenizer |
attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 808410 |
attribute | NC_GLOBAL | instruments_1_description | String | A homogenizer is a piece of laboratory equipment used for the homogenization of various types of material, such as tissue, plant, food, soil, and many others. |
attribute | NC_GLOBAL | instruments_1_instrument_name | String | Homogenizer |
attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 522984 |
attribute | NC_GLOBAL | instruments_1_supplied_name | String | Sonics Materials Ultrasonic Processor (model - VCX 130) |
attribute | NC_GLOBAL | instruments_2_acronym | String | Costech ECS 4010 |
attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 808412 |
attribute | NC_GLOBAL | instruments_2_description | String | The ECS 4010 Nitrogen / Protein Analyzer is an elemental combustion analyser for CHNSO elemental analysis and Nitrogen / Protein determination. The GC oven and separation column have a temperature range of 30-110 degC, with control of +/- 0.1 degC. |
attribute | NC_GLOBAL | instruments_2_instrument_name | String | Costech International Elemental Combustion System (ECS) 4010 |
attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 793023 |
attribute | NC_GLOBAL | keywords | String | bco, bco-dmo, biological, bottle, cDA_indiv, cDA_mass, chemical, copepods, data, dataset, date, dmo, erddap, experiment, indiv, iso, latitude, longitude, management, mass, num, Num_copepods, oceanography, office, preliminary, replicate, Replicate_bottle, time, time2, treatment |
attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/808402/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/808402 |
attribute | NC_GLOBAL | Northernmost_Northing | double | 30.278166 |
attribute | NC_GLOBAL | param_mapping | String | {'808402': {'Latitude_N': 'master - latitude', 'Longitude_W': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/808402/parameters |
attribute | NC_GLOBAL | people_0_affiliation | String | Dauphin Island Sea Lab |
attribute | NC_GLOBAL | people_0_affiliation_acronym | String | DISL |
attribute | NC_GLOBAL | people_0_person_name | String | Jeffrey W Krause |
attribute | NC_GLOBAL | people_0_person_nid | String | 544582 |
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 | Louisiana State University |
attribute | NC_GLOBAL | people_1_affiliation_acronym | String | LSU |
attribute | NC_GLOBAL | people_1_person_name | String | Kanchan Maiti |
attribute | NC_GLOBAL | people_1_person_nid | String | 712671 |
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 | Dauphin Island Sea Lab |
attribute | NC_GLOBAL | people_2_affiliation_acronym | String | DISL |
attribute | NC_GLOBAL | people_2_person_name | String | Israel A. Marquez Jr. |
attribute | NC_GLOBAL | people_2_person_nid | String | 808389 |
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 | Amber D. York |
attribute | NC_GLOBAL | people_3_person_nid | String | 643627 |
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 | CLASiC |
attribute | NC_GLOBAL | projects_0_acronym | String | CLASiC |
attribute | NC_GLOBAL | projects_0_description | String | NSF Award Abstract:\nThe Louisiana Shelf system in the northern Gulf of Mexico is fed by the Mississippi River and its many tributaries which contribute large quantities of nutrients from agricultural fertilizer to the region. Input of these nutrients, especially nitrogen, has led to eutrophication. Eutrophication is the process wherein a body of water such as the Louisiana Shelf becomes enriched in dissolved nutrients that increase phytoplankton growth which eventually leads to decreased oxygen levels in bottom waters. This has certainly been observed in this area, and diatoms, a phytoplankton which represents the base of the food chain, have shown variable silicon/nitrogen (Si/N) ratios. Because diatoms create their shells from silicon, their growth is controlled not only by nitrogen inputs but the availability of silicon. Lower Si/N ratios are showing that silicon may be playing an increasingly important role in regulating diatom production in the system. For this reason, a scientist from the University of South Alabama will determine the biogeochemical processes controlling changes in Si/N ratios in the Louisiana Shelf system. One graduate student on their way to a doctorate degree and three undergraduate students will be supported and trained as part of this project. Also, four scholarships for low-income, high school students from Title 1 schools will get to participate in a month-long summer Marine Science course at the Dauphin Island Sea Laboratory and be included in the research project. The study has significant societal benefits given this is an area where $2.4 trillion gross domestic product revenue is tied up in coastal resources. Since diatoms are at the base of the food chain that is the biotic control on said coastal resources, the growth of diatoms in response to eutrophication is important to study.\nEutrophication of the Mississippi River and its tributaries has the potential to alter the biological landscape of the Louisiana Shelf system in the northern Gulf of Mexico by influencing the Si/N ratios below those that are optimal for diatom growth. A scientist from the University of South Alabama believes the observed changes in the Si/N ratio may indicate silicon now plays an important role in regulating diatom production in the system. As such, understanding the biotic and abiotic processes controlling the silicon cycle is crucial because diatoms dominate at the base of the food chain in this highly productive region. The study will focus on following issues: (1) the importance of recycled silicon sources on diatom production; (2) can heavily-silicified diatoms adapt to changing Si/N ratios more effectively than lightly-silicified diatoms; and (3) the role of reverse weathering in sequestering silicon thereby reducing diffusive pore-water transport. To attain these goals, a new analytical approach, the PDMPO method (compound 2-(4-pyridyl)-5-((4-(2-dimethylaminoethylamino-carbamoyl)methoxy)phenyl)oxazole) that quantitatively measures taxa-specific silica production would be used. |
attribute | NC_GLOBAL | projects_0_end_date | String | 2019-03 |
attribute | NC_GLOBAL | projects_0_geolocation | String | Northern Gulf of Mexico, specifically the Louisiana Shelf region dominated by the discharge of the Mississippi River on the western side of the delta |
attribute | NC_GLOBAL | projects_0_name | String | The biotic and abiotic controls on the Silicon cycle in the northern Gulf of Mexico |
attribute | NC_GLOBAL | projects_0_project_nid | String | 712667 |
attribute | NC_GLOBAL | projects_0_start_date | String | 2016-04 |
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 | 30.278166 |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
attribute | NC_GLOBAL | subsetVariables | String | time,latitude,longitude,Date,time2,Experiment |
attribute | NC_GLOBAL | summary | String | Domoic acid assimilation in copepods by consuming organic polymers containing domoic acid. Results from lab experiments designed to investigate the role of organic polymers in trophic transfer of domoic acid, using Acartia tonsa as a model organism. Water samples were collected in the northern Gulf of Mexico in 2019. |
attribute | NC_GLOBAL | time_coverage_end | String | 2019-02-07T15:15Z |
attribute | NC_GLOBAL | time_coverage_start | String | 2019-02-07T15:15Z |
attribute | NC_GLOBAL | title | String | [Domoic acid assimilation in copepods] - Domoic acid assimilation in copepods from experiments conducted using water samples collected in northern Gulf of Mexico in 2019 (The biotic and abiotic controls on the Silicon cycle in the northern Gulf of Mexico) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | Westernmost_Easting | double | -87.554261 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.5 |
variable | time | double | ||
attribute | time | _CoordinateAxisType | String | Time |
attribute | time | actual_range | double | 1.5495525E9, 1.5495525E9 |
attribute | time | axis | String | T |
attribute | time | bcodmo_name | String | ISO_DateTime_UTC |
attribute | time | description | String | Date/Time (UTC) in ISO 8601 format yyyy-mm-ddTHH:MMZ |
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 | source_name | String | ISO_DateTime_UTC |
attribute | time | standard_name | String | time |
attribute | time | time_origin | String | 01-JAN-1970 00:00:00 |
attribute | time | time_precision | String | 1970-01-01T00:00Z |
attribute | time | units | String | seconds since 1970-01-01T00:00:00Z |
variable | latitude | double | ||
attribute | latitude | _CoordinateAxisType | String | Lat |
attribute | latitude | _FillValue | double | NaN |
attribute | latitude | actual_range | double | 30.278166, 30.278166 |
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 in decimal degrees |
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 | Latitude_N |
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 | -87.554261, -87.554261 |
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 in decimal degrees |
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 | Longitude_W |
attribute | longitude | standard_name | String | longitude |
attribute | longitude | units | String | degrees_east |
variable | Date | int | ||
attribute | Date | _FillValue | int | 2147483647 |
attribute | Date | actual_range | int | 20190207, 20190207 |
attribute | Date | bcodmo_name | String | date_local |
attribute | Date | description | String | Local date water was collected in format yyyymmdd |
attribute | Date | long_name | String | Date |
attribute | Date | units | String | unitless |
variable | time2 | String | ||
attribute | time2 | bcodmo_name | String | time_local |
attribute | time2 | description | String | Local time water was collected in format hhmm (24 hr) |
attribute | time2 | long_name | String | Time |
attribute | time2 | units | String | unitless |
variable | Experiment | String | ||
attribute | Experiment | bcodmo_name | String | exp_id |
attribute | Experiment | description | String | Experiment name |
attribute | Experiment | long_name | String | Experiment |
attribute | Experiment | units | String | unitless |
variable | Treatment | String | ||
attribute | Treatment | bcodmo_name | String | treatment |
attribute | Treatment | description | String | Treatment name |
attribute | Treatment | long_name | String | Treatment |
attribute | Treatment | units | String | unitless |
variable | Replicate_bottle | String | ||
attribute | Replicate_bottle | bcodmo_name | String | replicate |
attribute | Replicate_bottle | description | String | Letters denote a unique bottle that was sampled for each measurement |
attribute | Replicate_bottle | long_name | String | Replicate Bottle |
attribute | Replicate_bottle | units | String | unitless |
variable | Num_copepods | byte | ||
attribute | Num_copepods | _FillValue | byte | 127 |
attribute | Num_copepods | actual_range | byte | 24, 49 |
attribute | Num_copepods | bcodmo_name | String | count |
attribute | Num_copepods | description | String | Number of copepods per bottle |
attribute | Num_copepods | long_name | String | Num Copepods |
attribute | Num_copepods | units | String | integer |
variable | cDA_mass | float | ||
attribute | cDA_mass | _FillValue | float | NaN |
attribute | cDA_mass | actual_range | float | 0.0, 0.82 |
attribute | cDA_mass | bcodmo_name | String | domoic acid |
attribute | cDA_mass | description | String | Total Domoic Acid in copepods |
attribute | cDA_mass | long_name | String | C DA Mass |
attribute | cDA_mass | units | String | nanograms (ng) |
variable | cDA_indiv | float | ||
attribute | cDA_indiv | _FillValue | float | NaN |
attribute | cDA_indiv | actual_range | float | 0.0, 30.76 |
attribute | cDA_indiv | bcodmo_name | String | domoic acid |
attribute | cDA_indiv | description | String | Domoic Acid normalized per individual |
attribute | cDA_indiv | long_name | String | C DA Indiv |
attribute | cDA_indiv | units | String | picograms (pg) per copepod |