Accessing BCO-DMO data
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| Dataset Title: | [Amazon Plume Radium-2018] - Radium isotope measurements from CTD and underway water samples from the R/V Endeavor cruise EN614 from 2018-05-06 to 2018-05- 29 (Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_753837) |
| Information: | Summary
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| FGDC
| ISO 19115
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Attributes {
s {
U_or_C {
String bcodmo_name "sample_descrip";
String description "Underway (surface) or CTD sample designator";
String long_name "U Or C";
String units "unitless";
}
Station {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 33;
String bcodmo_name "station";
String description "Station #";
String long_name "Station";
String units "unitless";
}
Cast {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 21;
String bcodmo_name "cast";
String description "Cast # at each station";
String long_name "Cast";
String units "unitless";
}
Date {
String bcodmo_name "date";
String description "Local date (EST) sample collected";
String long_name "Date";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String time_precision "1970-01-01";
String units "unitless";
}
time2 {
String bcodmo_name "time";
String description "Local time (EST) sample collected";
String long_name "Time";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
String units "unitless";
}
time {
String _CoordinateAxisType "Time";
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "Date and time (GMT) sample collected";
String ioos_category "Time";
String long_name "Date Time";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "Date_Time";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String time_precision "1970-01-01T00:00Z";
String units "seconds since 1970-01-01T00:00:00Z";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 4.890333333, 16.29235;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "Sampling latitude";
String ioos_category "Location";
String long_name "Latitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
String standard_name "latitude";
String units "degrees_north";
}
longitude {
String _CoordinateAxisType "Lon";
Float64 _FillValue NaN;
Float64 actual_range -57.2567, -50.45931667;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "Sampling longitude";
String ioos_category "Location";
String long_name "Longitude";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
String standard_name "longitude";
String units "degrees_east";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 0.0, 275.0;
String axis "Z";
String bcodmo_name "depth";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "Water depth of sample collection";
String ioos_category "Location";
String long_name "Depth";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
String positive "down";
String standard_name "depth";
String units "m";
}
Salinity {
Float32 _FillValue NaN;
Float32 actual_range 20.77, 36.12;
String bcodmo_name "sal";
Float64 colorBarMaximum 37.0;
Float64 colorBarMinimum 32.0;
String description "Salinity of ship’s seawater intake system";
String long_name "Sea Water Practical Salinity";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "unitless";
}
Sample_Volume {
Float32 _FillValue NaN;
Float32 actual_range 10.8567, 54.4764;
String bcodmo_name "volume";
String description "Water sample volume";
String long_name "Sample Volume";
String units "liters (L)";
}
Ra223_Activity {
String bcodmo_name "radioactive_isotope_conc";
String description "Radium-223 activity";
String long_name "Ra223 Activity";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
String units "dpm/100L";
}
Ra223_Unc {
String bcodmo_name "radioactive_isotope_conc";
String description "1-σ analytical uncertainty for Ra223";
String long_name "Ra223 Unc";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
String units "dpm/100L";
}
XS_Ra224_Activity {
String bcodmo_name "radioactive_isotope_conc";
String description "Excess radium-224 activity";
String long_name "XS Ra224 Activity";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
String units "dpm/100L";
}
XS_Ra224_Unc {
String bcodmo_name "radioactive_isotope_conc";
String description "1-σ analytical uncertainty for Ra224";
String long_name "XS Ra224 Unc";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
String units "dpm/100L";
}
Ra226_Activity {
Float32 _FillValue NaN;
Float32 actual_range 9.912, 25.898;
String bcodmo_name "radioactive_isotope_conc";
String description "Radium-226 activity";
String long_name "Ra226 Activity";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
String units "dpm/100L";
}
Ra226_Unc {
Float32 _FillValue NaN;
Float32 actual_range 0.372, 2.192;
String bcodmo_name "radioactive_isotope_conc";
String description "1-σ analytical uncertainty for Ra226";
String long_name "Ra226 Unc";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
String units "dpm/100L";
}
Comments {
String bcodmo_name "comment";
String description "Pertinent notes regarding sample collection";
String long_name "Comments";
String units "unitless";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
String acquisition_description
"Water samples were filtered through 47 mm GFF filters (unless otherwise
noted), then passed slowly through 25 g (dry) acrylic fibers impregnated with
MnO2 (Moore, 1976).\\u00a0 Fibers were then washed 10x with Ra-free freshwater
to remove salts and dried to a mass between 35 and 57 g for optimal humidity
levels (Sun and Torgersen, 1998).\\u00a0 Fibers were then immediately counted
on a Radium Delayed Coincidence Counter (RaDeCC; Moore and Arnold, 1996) for
total Ra-224 and Ra-223.\\u00a0 Roughly 3 weeks later, fibers were counted
again for supported Ra-224.\\u00a0 Thus, excess (\\u2018XS\\u2019) Ra-224 is the
difference between total and supported Ra-224 measurements.\\u00a0 Ra-226
activities were then measured on a radon emanation line as per Peterson et al.
(2009).\\u00a0
Minimum detectable activities (dpm/100L) are calculated based on Currie
(1968).\\u00a0 Any measured values lower than the minimum detectable activity
is labeled \\u2018BD\\u2019";
String awards_0_award_nid "751092";
String awards_0_award_number "OCE-1736947";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1736947";
String awards_0_funder_name "NSF Division of Ocean Sciences";
String awards_0_funding_acronym "NSF OCE";
String awards_0_funding_source_nid "355";
String awards_0_program_manager "David L. Garrison";
String awards_0_program_manager_nid "50534";
String cdm_data_type "Other";
String comment
"Radium isotope (223Ra, 224Ra, and 226Ra) measurements from CTD and underway water samples.
PI: Richard N. Peterson
Version: 2018-12-13";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
String creator_email "info@bco-dmo.org";
String creator_name "BCO-DMO";
String creator_type "institution";
String creator_url "https://www.bco-dmo.org/";
String data_source "extract_data_as_tsv version 2.3 19 Dec 2019";
String dataset_current_state "Final and no updates";
String date_created "2019-01-28T17:10:19Z";
String date_modified "2020-05-01T15:33:58Z";
String defaultDataQuery "&time<now";
String doi "10.26008/1912/bco-dmo.753837.1";
Float64 Easternmost_Easting -50.45931667;
Float64 geospatial_lat_max 16.29235;
Float64 geospatial_lat_min 4.890333333;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -50.45931667;
Float64 geospatial_lon_min -57.2567;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 275.0;
Float64 geospatial_vertical_min 0.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-12-21T13:50:20Z (local files)
2024-12-21T13:50:20Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753837.html";
String infoUrl "https://www.bco-dmo.org/dataset/753837";
String institution "BCO-DMO";
String instruments_0_acronym "Niskin bottle";
String instruments_0_dataset_instrument_description "niskin bottles attached to the CTD rosette (‘C’ designator in data sheet).";
String instruments_0_dataset_instrument_nid "753843";
String instruments_0_description "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.";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/";
String instruments_0_instrument_name "Niskin bottle";
String instruments_0_instrument_nid "413";
String instruments_0_supplied_name "niskin bottles";
String instruments_1_acronym "Pump-Ship Intake";
String instruments_1_dataset_instrument_description "Water samples for radium isotope analysis were collected from both the ship’s clean underway intake system (‘U’ designator in data sheet)";
String instruments_1_dataset_instrument_nid "753842";
String instruments_1_description "The 'Pump-underway ship intake' system indicates that samples are from the ship's clean water intake pump. This is essentially a surface water sample from a source of uncontaminated near-surface (commonly 3 to 7 m) seawater that can be pumped continuously to shipboard laboratories on research vessels. There is typically a temperature sensor near the intake (known as the hull temperature) to provide measurements that are as close as possible to the ambient water temperature. The flow from the supply is typically directed through continuously logged sensors such as a thermosalinograph and a fluorometer. Water samples are often collected from the underway supply that may also be referred to as the non-toxic supply. Ideally the data contributor has specified the depth in the ship's hull at which the pump is mounted.";
String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/31/";
String instruments_1_instrument_name "Pump - Surface Underway Ship Intake";
String instruments_1_instrument_nid "534";
String instruments_1_supplied_name "ship’s clean underway intake system";
String instruments_2_acronym "RaDeCC";
String instruments_2_dataset_instrument_description "Radium isotopes (224Ra and 223Ra) were analyzed with a Radium Delayed Coincidence Counter (Moore and Arnold, 1996).";
String instruments_2_dataset_instrument_nid "753841";
String instruments_2_description
"The RaDeCC is an alpha scintillation counter that distinguishes decay events of short-lived radium daughter products based on their contrasting half-lives. This system was pioneered by Giffin et al. (1963) and adapted for radium measurements by Moore and Arnold (1996).
References:
Giffin, C., A. Kaufman, W.S. Broecker (1963). Delayed coincidence counter for the assay of actinon and thoron. J. Geophys. Res., 68, pp. 1749-1757.
Moore, W.S., R. Arnold (1996). Measurement of 223Ra and 224Ra in coastal waters using a delayed coincidence counter. J. Geophys. Res., 101 (1996), pp. 1321-1329.
Charette, Matthew A.; Dulaiova, Henrieta; Gonneea, Meagan E.; Henderson, Paul B.; Moore, Willard S.; Scholten, Jan C.; Pham, M. K. (2012). GEOTRACES radium isotopes interlaboratory comparison experiment. Limnology and Oceanography - Methods, vol 10, pg 451.";
String instruments_2_instrument_name "Radium Delayed Coincidence Counter";
String instruments_2_instrument_nid "688";
String instruments_2_supplied_name "Radium Delayed Coincidence Counter";
String instruments_3_acronym "SeaBird SBE-21 Seacat";
String instruments_3_dataset_instrument_description "Salinity data derived from ship’s clean underway intake system with SBE 21 SEACAT Thermosaliograph.";
String instruments_3_dataset_instrument_nid "753844";
String instruments_3_description "A platinum-electrode conductivity sensor and a thermistor mounted in a corrosion-resistant plastic and titanium housing designed to be continuously plumbed into a vessel's pumped seawater supply. The instrument may be interfaced to a remote SBE 38 temperature sensor mounted either on the hull or in the seawater inlet. Data are both stored in internal memory and output to a serial port for external logging. Conductivity is measured in the range 0-7 S/m with an accuracy of 0.001 S/m and a resolution of 0.0001 S/m. Housing temperature is measured in the range -5-35C with an accuracy of 0.01 C and a resolution of 0.001 C. Remote temperature is measured in the range -5-35C with an accuracy of 0.001 C and a resolution of 0.0003 C. More information at http://www.seabird.com/products/spec_sheets/21data.htm.";
String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0667/";
String instruments_3_instrument_name "Sea-Bird SeaCAT Thermosalinograph SBE 21";
String instruments_3_instrument_nid "517246";
String instruments_3_supplied_name "SBE 21 SEACAT Thermosaliograph";
String keywords "activity, bco, bco-dmo, biological, cast, chemical, comments, data, dataset, date, density, depth, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, latitude, longitude, management, ocean, oceanography, oceans, office, practical, preliminary, ra223, Ra223_Activity, Ra223_Unc, ra224, ra226, Ra226_Activity, Ra226_Unc, salinity, sample, Sample_Volume, science, sea, sea_water_practical_salinity, seawater, station, time, time2, u, U_or_C, unc, volume, water, XS_Ra224_Activity, XS_Ra224_Unc";
String keywords_vocabulary "GCMD Science Keywords";
String license "https://www.bco-dmo.org/dataset/753837/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/753837";
Float64 Northernmost_Northing 16.29235;
String param_mapping "{'753837': {'Latitude': 'flag - latitude', 'Date_Time': 'flag - time', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/753837/parameters";
String people_0_affiliation "Coastal Carolina University";
String people_0_person_name "Richard N. Peterson";
String people_0_person_nid "701779";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Georgia Institute of Technology";
String people_1_affiliation_acronym "Georgia Tech";
String people_1_person_name "Joseph P. Montoya";
String people_1_person_nid "51125";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "Lamont-Doherty Earth Observatory";
String people_2_affiliation_acronym "LDEO";
String people_2_person_name "Ajit Subramaniam";
String people_2_person_nid "50857";
String people_2_role "Co-Principal Investigator";
String people_2_role_type "originator";
String people_3_affiliation "Woods Hole Oceanographic Institution";
String people_3_affiliation_acronym "WHOI BCO-DMO";
String people_3_person_name "Mathew Biddle";
String people_3_person_nid "708682";
String people_3_role "BCO-DMO Data Manager";
String people_3_role_type "related";
String project "Amazon River Plume Nitrogen";
String projects_0_acronym "Amazon River Plume Nitrogen";
String projects_0_description
"NSF Award Abstract:
This is a focused program of field research in waters of the Western Tropical North Atlantic influenced by the Amazon River Plume during the high river flow season. The Amazon Plume region supports diverse plankton communities in a dynamic system driven by nutrients supplied by transport from the river proper as well as nutrients entrained from offshore waters by physical mixing and upwelling. This creates strong interactions among physical, chemical, and biological processes across a range of spatial and temporal scales. The field program will link direct measurements of environmental properties with focused experimental studies of nutrient supply and nutrient limitation of phytoplankton, as well as the transfer of phytoplankton nitrogen to the zooplankton food web. The Amazon Plume exhibits a close juxtaposition of distinct communities during the high-flow season, making it an ideal site for evaluating how nutrient availability, nutrient supply, and habitat longevity interact to drive offshore ecosystem dynamics and function. This project will include German collaborators and will seamlessly integrate education and research efforts. The investigators and their institutions have a strong commitment to undergraduate and graduate education and to increasing the diversity of the ocean science community through active recruiting and training efforts. The team has a strong track record of involving both undergraduate and graduate students in their field and lab research. The two research cruises planned will provide opportunities for students and technicians to interact with an interdisciplinary and international research team.
The ultimate objectives of this project are to understand the processes and interactions that promote distinct communities of nitrogen-fixing organisms (diazotrophs) and other phytoplankton around the Amazon Plume and to explore the impacts of these diazotroph-rich communities on zooplankton biomass and production. The research team includes scientists with expertise in nutrient and stable isotope biogeochemistry, remote sensing as well as specialists in characterizing water mass origin and history using naturally occurring radium isotopes. This combination of approaches will provide a unique opportunity to address fundamental questions related to plankton community structure, primary production, and links to secondary production in pelagic ecosystems. The project will address the following key questions focused on fundamental issues in plankton ecology resulting from previous research in this region:
A. What mechanisms promote the preferential delivery of bioavailable phosphorus and the resulting strong nitrogen limitation associated with the northern reaches of the Amazon Plume during the high flow season?
B. What factors lead to the clear niche separation between diazotrophs within and around the Amazon Plume and how are the distinct diazotroph communities influenced by hydrographic and biogeochemical controls associated with the Amazon River Plume and offshore upwelling processes?
C. How does the nitrogen fixed by the different types of diazotrophs contribute to secondary production, and how efficiently does diazotroph nitrogen move through the food web?";
String projects_0_end_date "2020-12";
String projects_0_geolocation "Amazon River plume";
String projects_0_name "Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic";
String projects_0_project_nid "751093";
String projects_0_start_date "2018-01";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 4.890333333;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "Radium isotope (223Ra, 224Ra, and 226Ra) measurements from CTD and underway water samples.";
String title "[Amazon Plume Radium-2018] - Radium isotope measurements from CTD and underway water samples from the R/V Endeavor cruise EN614 from 2018-05-06 to 2018-05-29 (Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic)";
String version "1";
Float64 Westernmost_Easting -57.2567;
String xml_source "osprey2erddap.update_xml() v1.5";
}
}
Data Access Protocol (DAP) and its
selection constraints.
The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.
Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names,
followed by a collection of
constraints (e.g., variable<value),
each preceded by '&' (which is interpreted as "AND").
For details, see the tabledap Documentation.