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Dataset Title:  Sedimentary radium isotope activity around Guaymas Basin from samples
collected by HOV Alvin during R/V Atlantis cruise AT37-06 in December 2016
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_782858)
Range: longitude = -111.68317 to -111.38469°E, latitude = 27.00729 to 27.50622°N, time = 2016-12-12T19:00Z to 2016-12-24T17:58Z
Information:  Summary ? | License ? | 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 {
  Alivn_Dive_Num {
    Int16 _FillValue 32767;
    Int16 actual_range 4861, 4872;
    String bcodmo_name "dive_id";
    String description "Numeric identifier for Alvin dive";
    String long_name "Alivn Dive Num";
    String units "unitless";
  }
  Core_Num {
    Byte _FillValue 127;
    Byte actual_range 1, 31;
    String bcodmo_name "core_id";
    String description "Core tube identifier for the specific Alvin dive";
    String long_name "Core Num";
    String units "unitless";
  }
  Depth_Below_SWI {
    Byte _FillValue 127;
    Byte actual_range 1, 44;
    String bcodmo_name "depth_bsf";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Sampling depth below the sediment-water interface (SWI)";
    String long_name "Depth";
    String standard_name "depth";
    String units "centimeters (cm)";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4815692e+9, 1.48260228e+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 27.00729, 27.50622;
    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 -111.68317, -111.38469;
    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";
  }
  Filter_Mass {
    Float32 _FillValue NaN;
    Float32 actual_range 0.067, 4.861;
    String bcodmo_name "mass";
    String description "Mass of dry sediments on filter";
    String long_name "Filter Mass";
    String units "grams (g)";
  }
  Ra224_Activity {
    Float32 _FillValue NaN;
    Float32 actual_range 0.141, 175.844;
    String bcodmo_name "radioactive_isotope_conc";
    String description "Measured activity of Ra-224";
    String long_name "Ra224 Activity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "dpm/g";
  }
  Ra224_Unc {
    Float32 _FillValue NaN;
    Float32 actual_range 0.022, 4.653;
    String bcodmo_name "radioactive_isotope_conc";
    String description "1-s analytical uncertainty in measured activity of Ra-224";
    String long_name "Ra224 Unc";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "dpm/g";
  }
  Th228_Activity {
    Float32 _FillValue NaN;
    Float32 actual_range 0.156, 328.275;
    String bcodmo_name "radioactive_isotope_conc";
    String description "Measured activity of Th-228";
    String long_name "Th228 Activity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "dpm/g";
  }
  Th228_Unc {
    Float32 _FillValue NaN;
    Float32 actual_range 0.022, 6.694;
    String bcodmo_name "radioactive_isotope_conc";
    String description "1-s analytical uncertainty in measured activity of Th-228";
    String long_name "Th228 Unc";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/WRAD/";
    String units "dpm/g";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Samples for this dataset were collected as push cores using the HOV Alvin
submersible. Analytical methods for measuring particulate Ra-224 and Th-228
are based on methods described in Cai et al. (2012; 2014). In short, once the
cores were recovered on the ship, overlying waters were siphoned off and the
sediment cores were sectioned in 2 cm vertical intervals for the top 10 cm,
then 4 cm intervals for the remainder of the core. A slurry was prepared by
adding ~\\u00bc of the sediment volume (or ~1/8 of the sediment volume for the
4 cm intervals) to 150 mL of Ra-free tap water. The pH of the slurry was
adjusted by adding 5-10 drops of concentrated NH3-OH, after which 1 mL of 19
mM KMnO4 and 1 mL of 40 mM MnCl2 solutions were added to precipitate any
dissolved radium and thorium. A portion of this slurry was vacuum-filtered
onto pre-weighed 47 mm diameter GFF filters until no further drops passed
through the filter. Filters were dried in a drying oven (at 60 \\u00b0C) for 12
hours, then placed is a filter holder within a cartridge and counted on a
Radium Delayed Coincidence Counter (Moore and Arnold, 1996). Results from this
analysis represent particulate Ra-224 activities. Filters were then measured
on the Radium Delayed Coincidence Counter again after 3 weeks, from which the
results are representative of Th-228 activities on the sediments.";
    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 Sedimentary Radium 
   from cruise AT37-06 
  PI: Richard Peterson 
  Version date: 25-Nov-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 "2019-11-25T20:57:28Z";
    String date_modified "2019-12-09T17:26:51Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.782858.1";
    Float64 Easternmost_Easting -111.38469;
    Float64 geospatial_lat_max 27.50622;
    Float64 geospatial_lat_min 27.00729;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -111.38469;
    Float64 geospatial_lon_min -111.68317;
    String geospatial_lon_units "degrees_east";
    String history 
"2022-08-12T11:39:25Z (local files)
2022-08-12T11:39:25Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_782858.das";
    String infoUrl "https://www.bco-dmo.org/dataset/782858";
    String institution "BCO-DMO";
    String instruments_0_acronym "Tube Core";
    String instruments_0_dataset_instrument_description "Samples for this dataset were collected as push cores using the HOV Alvin submersible.";
    String instruments_0_dataset_instrument_nid "782868";
    String instruments_0_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_0_instrument_name "Alvin tube core";
    String instruments_0_instrument_nid "641";
    String instruments_1_acronym "RaDeCC";
    String instruments_1_dataset_instrument_description "Filters were dried in a drying oven (at 60 °C) for 12 hours, then placed is a filter holder within a cartridge and counted on a Radium Delayed Coincidence Counter.";
    String instruments_1_dataset_instrument_nid "782869";
    String instruments_1_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_1_instrument_name "Radium Delayed Coincidence Counter";
    String instruments_1_instrument_nid "688";
    String keywords "activity, alivn, Alivn_Dive_Num, bco, bco-dmo, biological, chemical, core, Core_Num, data, dataset, date, depth, Depth_Below_SWI, dive, dmo, erddap, filter, Filter_Mass, latitude, longitude, management, mass, num, oceanography, office, preliminary, ra224, Ra224_Activity, Ra224_Unc, th228, Th228_Activity, Th228_Unc, time, unc";
    String license "https://www.bco-dmo.org/dataset/782858/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/782858";
    Float64 Northernmost_Northing 27.50622;
    String param_mapping "{'782858': {'Latitude': 'flag - latitude', 'Date_Time': 'flag - time', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/782858/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 27.00729;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This dataset presents sedimentary radium isotope activities around Guaymas Basin.";
    String time_coverage_end "2016-12-24T17:58Z";
    String time_coverage_start "2016-12-12T19:00Z";
    String title "Sedimentary radium isotope activity around Guaymas Basin from samples collected by HOV Alvin during R/V Atlantis cruise AT37-06 in December 2016";
    String version "1";
    Float64 Westernmost_Easting -111.68317;
    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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