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Dataset Title:  [Guaymas Dissolved Radium AT42-05] - Dissolved radium isotope activity around
Guaymas Basin from samples collected by CTD and HOV Alvin during R/V Atlantis
cruise AT42-05 in November 2018 (Validation of a New Geochemical Approach to
Constrain Deep Sea Porewater Residence Times and Advection Rates: Applications
to Biogeochemical Cycling at Guaymas Basin)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_783366)
Range: longitude = -111.410614 to -111.40388°E, latitude = 27.006401 to 27.045538°N, depth = 200.0 to 2011.0m, time = 2018-11-18T04:58Z to 2018-11-28T03:59Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Collection_Method {
    String bcodmo_name "instrument";
    String description "Sample collection method";
    String long_name "Collection Method";
    String units "unitless";
  }
  Alvin_Dive_Number {
    Int16 _FillValue 32767;
    Int16 actual_range 4992, 5001;
    String bcodmo_name "dive_id";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Numeric identifier for Alvin dive (not applicable where Collection_Method = CTD)";
    String long_name "Alvin Dive Number";
    String units "unitless";
  }
  Core_Number {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 2, 45;
    String bcodmo_name "core_id";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Core tube identifier for the specific Alvin dive (not applicable where Collection_Method = CTD or Alvin_Niskins )";
    String long_name "Core Number";
    String units "unitless";
  }
  Cast {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 10;
    String bcodmo_name "cast";
    String description "Numerical reference for CTD cast # (Collection_Method = CTD only)";
    String long_name "Cast";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 200.0, 2011.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Sampling depth (Collection_Method = CTD only)";
    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";
  }
  Depth_cmbsf {
    Float32 _FillValue NaN;
    Float32 actual_range 2.0, 46.0;
    String bcodmo_name "depth_bsf";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth in centimeters below seafloor (Collection_Method = Porewater only)";
    String long_name "Depth";
    String standard_name "depth";
    String units "centimeters below seafloor (cmbsf)";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.54251708e+9, 1.54337754e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Sampling date and time (GMT); format: yyyy-mm-ddTHH:MM";
    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 27.006402, 27.045537;
    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 -111.410617, -111.403877;
    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";
  }
  Sample_Volume {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 45.424;
    String bcodmo_name "sample_volume";
    String description "Sample volume";
    String long_name "Sample Volume";
    String units "liters (L)";
  }
  Ra223_Activity {
    String bcodmo_name "radioactive_isotope_conc";
    String description "Measured activity of Ra-223; \"BD\" = below detection";
    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-s analytical uncertainty in measured activity of Ra-223; \"BD\" = below detection";
    String long_name "Ra223 Unc";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "dpm/100L";
  }
  Ra224_Activity {
    String bcodmo_name "radioactive_isotope_conc";
    String description "Measured activity of Ra-224; \"BD\" = below detection";
    String long_name "Ra224 Activity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "dpm/100L";
  }
  Ra224_Unc {
    String bcodmo_name "radioactive_isotope_conc";
    String description "1-s analytical uncertainty in measured activity of Ra-224; \"BD\" = below detection";
    String long_name "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 16.944, 44.525;
    String bcodmo_name "radioactive_isotope_conc";
    String description "Measured activity of Ra-226; \"BD\" = below detection";
    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 0.602, 1.868;
    String bcodmo_name "radioactive_isotope_conc";
    String description "1-s analytical uncertainty in measured activity of Ra-226; \"BD\" = below detection";
    String long_name "Ra226 Unc";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "dpm/100L";
  }
  Ra228_Activity {
    Float32 _FillValue NaN;
    Float32 actual_range 0.075, 4.739;
    String bcodmo_name "radioactive_isotope_conc";
    String description "Measured activity of Ra-223; \"BD\" = below detection";
    String long_name "Ra228 Activity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "dpm/100L";
  }
  Ra228_Unc {
    Float32 _FillValue NaN;
    Float32 actual_range 0.007, 0.436;
    String bcodmo_name "radioactive_isotope_conc";
    String description "1-s analytical uncertainty in measured activity of Ra-223; \"BD\" = below detection";
    String long_name "Ra228 Unc";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "dpm/100L";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Samples for this dataset were separated into different worksheets depending on
the sample collection method (worksheets have been combined into one dataset;
\\\"Collection_Method\\\" column indicates the source worksheet).
 
\\\"CTD\\\" samples were collected from 20L Niskin bottles associated with CTD
casts by slowly (<1 L/min) draining the sample via a sampling tube from the
spigot on the Niskin bottle through a dry, 25 g aliquot of acrylic fiber
impregnated with MnO2 (Moore, 1976). These \\\"Mn fibers\\\" quantitatively sorb
Ra isotopes from the aqueous phase.
 
\\\"Core-top waters\\\" were collected by gravity siphoning water overlying
sediment cores that were collected as push cores by HOV Alvin, filtering the
samples through 0.45 mm cellulose filters, then slowly (< 1 L/min) passing the
effluent over 25 g Mn fiber.
 
\\\"Alvin Niskins\\\" were recovered from one or several of the 1.25 L Niskin
bottles on Alvin. On the ship, these water samples were drained from the
Niskin bottles and slowly (<1 L/min) passed over 25 g Mn fiber.
 
\\\"Porewater\\\" samples were collected by sectioning sediments cores under an
inert (Ar) atmosphere at 4-5 cm intervals into 50 mL centrifuge tubes,
centrifuging the samples at 5,000 RPM for 15 minutes, then decanting the
supernatant fluids and filtering them through 0.45 mm syringe filters.
Effluent samples were measured for volume, then diluted with 1 L Ra-free
seawater before being passed slowly (< 1L/min) twice through Mn fibers.
 
After passing the water samples over the Mn fibers, the fibers were rinsed
with Ra-free fresh water, then dried using a compressed air stream to a
suitable humidity (Sun and Torgersen, 1998). The fibers were then counted
immediately on a Radium Delayed Coincidence Counter (Moore and Arnold, 1996)
for total Ra-224 and Ra-223 activity. The fibers were counted again after 3
weeks to measure the supported Ra-224 activity from any sorbed Th-228 on the
fibers. This activity is subtracted from the total Ra-224 activity derived
from the initial measurement to compute the excess Ra-224 activity (the
activity reported in the dataset). Ra-226 activities were measured by sealing
the Mn fibers in air-tight cartridges for ~1 week and measuring the
accumulated Rn-222 (daughter product of Ra-226) on a radon emanation line
(Peterson et al., 2009). Fibers were then counted an additional time on the
Radium Delayed Coincidence Counter after ~1 year from collection for Ra-228
(as the change in Th-228 activity from the 3-week measurement; Moore, 2008).
Analytical uncertainties are based on counting statistics (as 1-s standard
deviation of the total counts logged, propagated through the activity
computations).";
    String awards_0_award_nid "754842";
    String awards_0_award_number "OCE-1558829";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1558829";
    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 "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Guaymas Dissolved Radium 
   from cruise AT42-05 
  PI: Richard Peterson 
  Version date: 03-Dec-2019";
    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 "2019-12-03T20:19:20Z";
    String date_modified "2019-12-09T18:20:36Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.783366.1";
    Float64 Easternmost_Easting -111.403877;
    Float64 geospatial_lat_max 27.045537;
    Float64 geospatial_lat_min 27.006402;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -111.403877;
    Float64 geospatial_lon_min -111.410617;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2011.0;
    Float64 geospatial_vertical_min 200.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T06:08:42Z (local files)
2024-11-08T06:08:42Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_783366.das";
    String infoUrl "https://www.bco-dmo.org/dataset/783366";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_description "Samples were collected from 20L Niskin bottles associated with CTD casts and from HOV Alvin's Niskin bottles.";
    String instruments_0_dataset_instrument_nid "783373";
    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 "783376";
    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";
    String instruments_2_acronym "Tube Core";
    String instruments_2_dataset_instrument_nid "783374";
    String instruments_2_description "A plastic tube, about 40 cm (16 inches) long, is pushed into the sediment by Alvin's manipulator arm to collect a sediment core.";
    String instruments_2_instrument_name "Alvin tube core";
    String instruments_2_instrument_nid "641";
    String instruments_2_supplied_name "HOV Alvin push core";
    String instruments_3_acronym "RaDeCC";
    String instruments_3_dataset_instrument_nid "783377";
    String instruments_3_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_3_instrument_name "Radium Delayed Coincidence Counter";
    String instruments_3_instrument_nid "688";
    String keywords "activity, alvin, Alvin_Dive_Number, bco, bco-dmo, biological, cast, chemical, collection, Collection_Method, core, Core_Number, data, dataset, date, depth, Depth_cmbsf, dive, dmo, erddap, latitude, longitude, management, method, number, oceanography, office, preliminary, ra223, Ra223_Activity, Ra223_Unc, ra224, Ra224_Activity, Ra224_Unc, ra226, Ra226_Activity, Ra226_Unc, ra228, Ra228_Activity, Ra228_Unc, sample, Sample_Volume, time, unc, volume";
    String license "https://www.bco-dmo.org/dataset/783366/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/783366";
    Float64 Northernmost_Northing 27.045537;
    String param_mapping "{'783366': {'Latitude': 'flag - latitude', 'Date_Time': 'flag - time', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/783366/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 "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Guaymas Basin Ra 224 Approach";
    String projects_0_acronym "Guaymas Basin Ra 224 Approach";
    String projects_0_description 
"NSF Award Abstract:
This project proposes to validate a new approach to measure porewater flow dynamics from deep sea sediments using a biologically conservative, naturally-occurring tracer, Radium 224, which is constantly produced by porewaters. The technique will be validated using independent measures of porewater fluxes (i.e. heat gradients and magnesium profiles) during a cruise to the Guaymas Basin in the Gulf of California that is already funded by NSF. Once validated the technique will be broadly applicable to all sedimentary environments including oceans, rivers/streams, wetlands and lakes. Understanding porewater flow dynamics is important to understanding ocean and other aquatic system chemical budgets, microbial ecology and global heat flow.
This proposal hypothesizes that the short-lived radium isotope Ra 224 may serve as an effective tracer of porewater flows in deep ocean systems, regardless of the type or composition of seepages, because its sources and sinks can be uniquely constrained. The method will be tested in the Guaymas Basin which is comprised of areas undergoing a range of seepage rates and offers porewater thermal gradients resulting from the hydrothermal system. As a result heat fluxes and gradients in magnesium and other cations affected by high-temperature water/rock interactions can be used to independently validate the porewater flows measured by Ra 224.";
    String projects_0_end_date "2019-07";
    String projects_0_geolocation "Guaymas Basin, Gulf of California";
    String projects_0_name "Validation of a New Geochemical Approach to Constrain Deep Sea Porewater Residence Times and Advection Rates: Applications to Biogeochemical Cycling at Guaymas Basin";
    String projects_0_project_nid "754843";
    String projects_0_start_date "2016-02";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 27.006402;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This dataset presents dissolved radium isotope activities around Guaymas Basin.";
    String time_coverage_end "2018-11-28T03:59Z";
    String time_coverage_start "2018-11-18T04:58Z";
    String title "[Guaymas Dissolved Radium AT42-05] - Dissolved radium isotope activity around Guaymas Basin from samples collected by CTD and HOV Alvin during R/V Atlantis cruise AT42-05 in November 2018 (Validation of a New Geochemical Approach to Constrain Deep Sea Porewater Residence Times and Advection Rates: Applications to Biogeochemical Cycling at Guaymas Basin)";
    String version "1";
    Float64 Westernmost_Easting -111.410617;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

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.


 
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