Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | Water column Th-234 activities from 4-liter water samples at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) site in the Northeast Atlantic Ocean during RRS Discovery cruise DY077 in April of 2017 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_765859) |
| Range: | longitude = -16.78 to -16.2624°E, latitude = 48.7487 to 49.2009°N, depth = 5.0 to 415.0m, time = 2017-04-19T09:00Z to 2017-04-28T10:50Z |
| Information: | Summary
| License
| ISO 19115
| Metadata
| Background
| Subset
| Data Access Form
| Files
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![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765859.png?longitude,latitude,station&time%3E=2017-04-22T00%3A00Z&time%3C=2017-04-29T00%3A00Z&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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Attributes {
s {
deployment {
String bcodmo_name "deploy";
String description "deployment cycle during cruise DY077";
String long_name "Deployment";
String units "unitless";
}
station {
Byte _FillValue 127;
Byte actual_range 31, 106;
String bcodmo_name "station";
String description "station occupied during cruise DY077";
String long_name "Station";
String units "unitless";
}
cast {
Byte _FillValue 127;
Byte actual_range 4, 23;
String bcodmo_name "platform";
String description "CTD cast number";
String long_name "Cast";
String units "unitless";
}
bottle {
Byte _FillValue 127;
Byte actual_range 1, 20;
String bcodmo_name "bottle";
String description "rosette bottle number";
String long_name "Bottle";
String units "unitless";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 5.0, 415.0;
String axis "Z";
String bcodmo_name "depth";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth of water 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";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 48.7487, 49.2009;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "latitude of CTD cast";
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 -16.78, -16.2624;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "longitude of CTD cast";
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";
}
date {
String bcodmo_name "date_utc";
String description "date of CTD cast (GMT) in ISO 8601 format yyyy-mm-dd";
String long_name "Date";
String time_precision "1970-01-01";
String units "unitless";
}
time2 {
String bcodmo_name "time_utc";
String description "time of CTD cast (GMT) in ISO 8601 format hh:mm:ss";
String long_name "Time";
String units "unitless";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.4925924e+9, 1.4933766e+9;
String axis "T";
String bcodmo_name "ISO_DateTime_UTC";
String description "date time (UTC) in ISO 8601 format yyyy-mm-ddTHH:MMZ";
String ioos_category "Time";
String long_name "ISO Date Time UTC";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
String source_name "ISO_DateTime_UTC";
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";
}
U238_tot {
Float32 _FillValue NaN;
Float32 actual_range 2.46, 2.48;
String bcodmo_name "U238";
String description "total uranium-238 activity calculated from CTD salinity as per Owens et al. 2011";
String long_name "U238 Tot";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/GAU238BD/";
String units "disintegration per minute per liter (dpm/L)";
}
U238_tot_err {
Float32 _FillValue NaN;
Float32 actual_range 0.05, 0.05;
String bcodmo_name "U238";
String description "total uranium-238 uncertainty, derived from the uncertainty in the relationship in Owens et al. 2011";
String long_name "U238 Tot Err";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/GAU238BD/";
String units "disintegration per minute per liter (dpm/L)";
}
Th234_tot {
Float32 _FillValue NaN;
Float32 actual_range 1.79, 2.82;
String bcodmo_name "thorium-234";
String description "total uranium-238 activity determined from 4-liter water samples";
String long_name "Th234 Tot";
String units "disintegration per minute per liter (dpm/L)";
}
Th234_tot_err {
Float32 _FillValue NaN;
Float32 actual_range 0.03, 0.1;
String bcodmo_name "thorium-234";
String description "total uranium-238 uncertainty, derived from counting statistics and error propagation for mass/volume measurements and ICP-MS recovery analysis";
String long_name "Th234 Tot Err";
String units "disintegration per minute per liter (dpm/L)";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
String acquisition_description
"Samples were collected during two deployment cycles (termed \\u201cdeployment
1\\u201d and \\u201cdeployment 2\\u201d) occupied during the RRS Discovery cruise
DY077 to the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) Site in
April 2017. In each of the cycles, we conducted particle flux sampling method
intercomparisons between fluxes derived from upper water column deficits of
234Th vs. its parent isotope 238U, two types of neutrally buoyant sediment
traps (NBST and PELAGRA), and a surface tethered array of sediment traps
(STT).
234Th profiles were sampled at the beginning and end of each deployment,
triangulated 10 km apart around the drifting trap location (Figure 1). A total
of 161 234Th samples were collected (Table 1). A 4-L sample was collected from
CTD casts, a stable Th yield monitor was added and the pH was adjusted to
promote the formation of a Mn precipitate that scavenges Th. This was then
filtered onto a 25-mm diameter quartz filter (Buesseler et al., 2009). The
quartz filter was dried and mounted, then beta counted on board and again 6
months post-cruise to determine the amount of interfering beta activity and
detector background that was not associated with 234Th in the sample.
Porcupine Abyssal Plain Sustained Observatory (PAP-SO) site in the Northeast
Atlantic Ocean (49\\u00b0N, 16.5\\u00b0W)";
String awards_0_award_nid "762021";
String awards_0_award_number "OCE-1659995";
String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1659995";
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 "Dr Simone Metz";
String awards_0_program_manager_nid "51479";
String awards_1_award_nid "762029";
String awards_1_award_number "OCE-1660012";
String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1660012";
String awards_1_funder_name "NSF Division of Ocean Sciences";
String awards_1_funding_acronym "NSF OCE";
String awards_1_funding_source_nid "355";
String awards_1_program_manager "Dr Simone Metz";
String awards_1_program_manager_nid "51479";
String cdm_data_type "Other";
String comment
"Water column Th-234 activities
PI: Kenneth Buesseler
Data version 1: 2019-05-02";
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 date_created "2019-04-29T16:38:17Z";
String date_modified "2019-06-26T19:33:36Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.765859.1";
Float64 Easternmost_Easting -16.2624;
Float64 geospatial_lat_max 49.2009;
Float64 geospatial_lat_min 48.7487;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -16.2624;
Float64 geospatial_lon_min -16.78;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 415.0;
Float64 geospatial_vertical_min 5.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-04-23T20:32:44Z (local files)
2024-04-23T20:32:44Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_765859.das";
String infoUrl "https://www.bco-dmo.org/dataset/765859";
String institution "BCO-DMO";
String instruments_0_acronym "Niskin bottle";
String instruments_0_dataset_instrument_nid "766183";
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_1_acronym "CTD";
String instruments_1_dataset_instrument_nid "766182";
String instruments_1_description "The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast. This instrument designation is used when specific make and model are not known.";
String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
String instruments_1_instrument_name "CTD profiler";
String instruments_1_instrument_nid "417";
String instruments_1_supplied_name "CTD Seabird 911plus";
String instruments_2_acronym "Riso Beta Counter";
String instruments_2_dataset_instrument_nid "766184";
String instruments_2_description
"Low-level beta detectors manufactured by Riso (now Nutech) in Denmark. These instruments accept samples that can be mounted on a 25mm filter holder. These detectors have very low backgrounds, 0.17 counts per minute, and can have counting efficiencies as high as 55%.
See:
http://cafethorium.whoi.edu/website/about/services_radioanalytical_facility_equip.html
and
http://www.nutech.dtu.dk/Produkter/Dosimetri/NUK_instruments/GM_multicounter.aspx";
String instruments_2_instrument_name "Riso Laboratory Anti-coincidence Beta Counters";
String instruments_2_instrument_nid "687";
String instruments_2_supplied_name "Riso Beta Counter";
String keywords "bco, bco-dmo, biological, bottle, cast, chemical, data, dataset, date, deployment, depth, dmo, erddap, error, iso, latitude, longitude, management, oceanography, office, preliminary, station, th234, Th234_tot, Th234_tot_err, time, time2, tot, u238, U238_tot, U238_tot_err";
String license "https://www.bco-dmo.org/dataset/765859/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/765859";
Float64 Northernmost_Northing 49.2009;
String param_mapping "{'765859': {'lat': 'master - latitude', 'depth': 'master - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/765859/parameters";
String people_0_affiliation "Woods Hole Oceanographic Institution";
String people_0_affiliation_acronym "WHOI";
String people_0_person_name "Kenneth O. Buesseler";
String people_0_person_nid "50522";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Skidmore College";
String people_1_person_name "Margaret L. Estapa";
String people_1_person_nid "644830";
String people_1_role "Co-Principal Investigator";
String people_1_role_type "originator";
String people_2_affiliation "Woods Hole Oceanographic Institution";
String people_2_affiliation_acronym "WHOI BCO-DMO";
String people_2_person_name "Amber York";
String people_2_person_nid "643627";
String people_2_role "BCO-DMO Data Manager";
String people_2_role_type "related";
String project "Are Traps Equal";
String projects_0_acronym "Are Traps Equal";
String projects_0_description
"NSF Award Abstract:
There is considerable need to understand the biological and ecological processes that through net primary production fix dissolved carbon dioxide (CO2) into organic matter in the upper ocean, and the processes that subsequently transport this organic carbon in to the ocean's interior. Most of the particulate organic carbon flux to the deep ocean is thought to be mediated by sinking particles. Ultimately it is the deep organic carbon transport and its sequestration that define the impact of ocean biota on atmospheric CO2 levels and hence climate. Currently, various methods are available to measure the amount of particles in the ocean that sink over a specified period of time commonly referred to as particle flux. Unfortunately, all of these methods are used independently of each other with very little intercomparison, leaving some uncertainty as to which approach provides the most accurate estimates. This study seeks to be the first concerted effort to standardize particle flux measurements. Seeking to keep the cost modest, the researchers are taking advantage of a collaboration with scientists in the United Kingdom to participate in an already scheduled research cruise. The proposed research will have much greater impact that merely standardization of particle flux measurements because it will provide the science and modeling community the ability to quantify the transfer of carbon throughout the surface ocean. Also, this project provides a variety of mentoring and training opportunities for students. A PhD student at Woods Hole Oceanographic Institute will get their first sea-going experience and will learn all of the processing steps for the study of an isotope of thorium (234Th). Skidmore College will have an undergraduate participant in the research and the results from the cruise will also be an excellent additional component for undergraduate oceanography classes.
Researchers from Woods Hole Oceanographic Institution and Skidmore College, in collaboration with a scientist from the National Oceanography Centre, Southampton will inter-compare direct, tracer, and optical-sensor methods used to determine sinking particle fluxes in the surface ocean. To do this, they will firstly conduct a comparison of two types of neutrally buoyant traps and one surface-tethered, drifting array. Secondly, measured trap fluxes will be compared to predicted 234Th fluxes from a 3D time-series of data. Lastly, optical sediment trap measurements will be compared to particle size distributions in the water column and gel traps, as well as size-fractionated particles on filters from large volume pumps. With this research, global ocean models, particularly carbon, will have greater accuracy and stronger conclusions will be able to be drawn from them.";
String projects_0_end_date "2019-06";
String projects_0_geolocation "Porcupine Abyssal Plain Sustained Observatory (PAP-SO) site in the Northeast Atlantic Ocean (49°N, 16.5°W)";
String projects_0_name "Collaborative Research: Are all traps created equal? A multi-method assessment of the collection and detection of sinking particles in the ocean";
String projects_0_project_nid "762022";
String projects_0_start_date "2017-01";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 48.7487;
String standard_name_vocabulary "CF Standard Name Table v55";
String subsetVariables "U238_tot_err";
String summary "Water column Th-234 activities from 4-liter water samples at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) site in the Northeast Atlantic Ocean during RRS Discovery cruise DY077 in April of 2017.";
String time_coverage_end "2017-04-28T10:50Z";
String time_coverage_start "2017-04-19T09:00Z";
String title "Water column Th-234 activities from 4-liter water samples at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) site in the Northeast Atlantic Ocean during RRS Discovery cruise DY077 in April of 2017";
String version "1";
Float64 Westernmost_Easting -16.78;
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
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.