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Dataset Title:  Biological samples of Isotope concentrations of Cesium 134 and 137, Silver
110m, and Potassium 40 from cruise KOK1108 in June 2011 in the Western
equatorial Pacific and Kurushio Extension (Fukushima Radionuclide Levels
project)
  RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3631)
Range: longitude = 141.39 to 147.12°E, latitude = 34.48 to 38.0°N
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 {
  event {
    String description "event number";
    String ioos_category "Unknown";
    String long_name "Event";
    String units "dimensionless";
  }
  sta {
    Byte _FillValue 127;
    Byte actual_range 2, 32;
    String description "station ID";
    String ioos_category "Unknown";
    String long_name "Sta";
    String units "dimensionless";
  }
  date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20110607, 20110617;
    String description "date of sample in�yyyymmdd format";
    String ioos_category "Time";
    String long_name "Date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 34.48, 38.0;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, in decimal degrees, North is positive, negative denotes South";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range 141.39, 147.12;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longtude, in decimal degrees, East is positive, negative denotes West";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sampling_method {
    String description "method used to collect sample";
    String ioos_category "Unknown";
    String long_name "Sampling Method";
    String units "dimensionless";
  }
  sample_type {
    String description "type of biota in sample";
    String ioos_category "Unknown";
    String long_name "Sample Type";
    String units "dimensionless";
  }
  dominant_species {
    String description "most numerous species in sample";
    String ioos_category "Taxonomy";
    String long_name "Dominant Species";
    String units "dimensionless";
  }
  abundance_species {
    String description "percent of total organisms represented by dominant species";
    String ioos_category "Taxonomy";
    String long_name "Abundance Species";
    String units "dimensionless";
  }
  mass_dry {
    Float32 _FillValue NaN;
    Float32 actual_range 7.3, 50.1;
    String description "mass of freeze-dried sample";
    String ioos_category "Unknown";
    String long_name "Mass Dry";
    String units "grams";
  }
  Ag110m_conc_dry {
    String description "concentration of Ag110m";
    String ioos_category "Unknown";
    String long_name "Ag110m Conc Dry";
    String units "bequerels/kg";
  }
  err_Ag110m_conc_dry {
    String description "error in concentration of Ag110";
    String ioos_category "Unknown";
    String long_name "Err Ag110m Conc Dry";
    String units "percent";
  }
  Cs134_conc_dry {
    String description "concentration of Cs134";
    String ioos_category "Unknown";
    String long_name "Cs134 Conc Dry";
    String units "bequerels/kg";
  }
  err_Cs134_conc_dry {
    String description "error in Cs134_conc_dry";
    String ioos_category "Unknown";
    String long_name "Err Cs134 Conc Dry";
    String units "percent";
  }
  Cs137_conc_dry {
    Float32 _FillValue NaN;
    Float32 actual_range 0.3, 56.4;
    String description "concentration of Cs137";
    String ioos_category "Unknown";
    String long_name "Cs137 Conc Dry";
    String units "bequerels/kg";
  }
  err_Cs137_conc_dry {
    Float32 _FillValue NaN;
    Float32 actual_range 0.2, 4.3;
    String description "error in concentration of Cs137";
    String ioos_category "Unknown";
    String long_name "Err Cs137 Conc Dry";
    String units "percent";
  }
  K40_conc_dry {
    Int16 _FillValue 32767;
    Int16 actual_range 44, 266;
    String description "concentraion of K40";
    String ioos_category "Unknown";
    String long_name "K40 Conc Dry";
    String units "bequerels/kg";
  }
  err_K40_conc_dry {
    Byte _FillValue 127;
    Byte actual_range 2, 12;
    String description "error in K40_conc_dry";
    String ioos_category "Unknown";
    String long_name "Err K40 Conc Dry";
    String units "bequerels/kg";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Mixed zooplankton samples were sampled using Bongo nets (mesh size = 300
micromol and Methot net (mesh size = 4mm) to collect gelatinous zooplankton,
larger crustaceans and fish. Samples collected were pooled together from
several casts to achieve biomass needed for radioanalysis. Samples were frozen
prior to freeze-drying. Samples that were freeze-dried and ground were stored
and analyzed in straight side Nalgene 4oz jar; powdered mass was compressed by
a polyacrilamide ring placed on top to assure uniform distribution of the
sample in the jar. Biological samples were analyzed using a planar low energy
germanium detector - LEGe, Canberra, Model GLP 3830 with a 3800 mm2 active
area; Genie 2000 software was used for spectrum analysis.";
    String awards_0_award_nid "54659";
    String awards_0_award_number "3007";
    String awards_0_funder_name "Gordon and Betty Moore Foundation";
    String awards_0_funding_acronym "Moore";
    String awards_0_funding_source_nid "361";
    String awards_1_award_nid "54674";
    String awards_1_award_number "OCE-1136693";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1136693";
    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 Donald  L. Rice";
    String awards_1_program_manager_nid "51467";
    String cdm_data_type "Other";
    String comment 
"version  22 March 2012 
  PI: Nicholas S. Fisher 
  
  project:  Fukushima Radiation in the Pacific 
  concentrations of Cs134, Cs137, Ag110m, and K40 in biota";
    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 2.2d  13 Jun 2019";
    String date_created "2012-03-15T18:10:54Z";
    String date_modified "2016-08-20T03:10:46Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/5227";
    Float64 Easternmost_Easting 147.12;
    Float64 geospatial_lat_max 38.0;
    Float64 geospatial_lat_min 34.48;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 147.12;
    Float64 geospatial_lon_min 141.39;
    String geospatial_lon_units "degrees_east";
    String history 
"2019-07-18T21:21:14Z (local files)
2019-07-18T21:21:14Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3631.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3631";
    String institution "BCO-DMO";
    String instruments_0_acronym "Bongo Net";
    String instruments_0_dataset_instrument_description "mesh size = 300 micrometer";
    String instruments_0_dataset_instrument_nid "5677";
    String instruments_0_description "A Bongo Net consists of paired plankton nets, typically with a 60 cm diameter mouth opening and varying mesh sizes, 10 to 1000 micron. The Bongo Frame was designed by the National Marine Fisheries Service for use in the MARMAP program. It consists of two cylindrical collars connected with a yoke so that replicate samples are collected at the same time. Variations in models are designed for either vertical hauls (OI-2500 = NMFS Pairovet-Style, MARMAP Bongo, CalVET) or both oblique and vertical hauls (Aquatic Research). The OI-1200 has an opening and closing mechanism that allows discrete \"known-depth\" sampling. This model is large enough to filter water at the rate of 47.5 m3/minute when towing at a speed of two knots. More information: Ocean Instruments, Aquatic Research, Sea-Gear";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0009/";
    String instruments_0_instrument_name "Bongo Net";
    String instruments_0_instrument_nid "410";
    String instruments_0_supplied_name "Bongo Net";
    String instruments_1_acronym "Methot Net";
    String instruments_1_dataset_instrument_description "Methot Net mesh size� = 4 millimeter";
    String instruments_1_dataset_instrument_nid "5678";
    String instruments_1_description "A Methot Net, a type of plankton net, is used to sample juvenile fish, shrimp, and 'larger' plankton, e.g. 4 millimeters and larger. Named after its designer, Richard D. Methot, of La Jolla, California, it is also called a Methot Trawl.  It is a single net with a large square opening or mouth. The net is deployed from the stern and towed behind the vessel. The Methot uses fine mesh (e.g. 4 mm) but with openings slightly larger than other plankton net systems. The larger mesh size allows the net to be towed at higher speeds. A flowmeter suspended in the mouth of net measures the flow of water moving through the net and allows for the calculation of the volume of water sampled. With its larger mouth and faster speed through the water, the Methot is designed to catch the larger zooplankton that are often missed by other plankton net samplers.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/22/";
    String instruments_1_instrument_name "Methot Net";
    String instruments_1_instrument_nid "659";
    String instruments_1_supplied_name "Methot Net";
    String keywords "abundance, abundance_species, ag110m, Ag110m_conc_dry, bco, bco-dmo, biological, chemical, conc, cs134, Cs134_conc_dry, cs137, Cs137_conc_dry, data, dataset, date, dmo, dominant, dominant_species, dry, erddap, err_Ag110m_conc_dry, err_Cs134_conc_dry, err_Cs137_conc_dry, err_K40_conc_dry, error, event, k40, K40_conc_dry, latitude, longitude, management, mass, mass_dry, method, oceanography, office, preliminary, sample, sample_type, sampling, sampling_method, species, sta, taxonomy, time, type";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3631";
    Float64 Northernmost_Northing 38.0;
    String param_mapping "{'3631': {'latitude': 'flag - latitude', 'longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3631/parameters";
    String people_0_affiliation "Stony Brook University - SoMAS";
    String people_0_affiliation_acronym "SUNY-SB SoMAS";
    String people_0_person_name "Dr Nicholas S. Fisher";
    String people_0_person_nid "51399";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Stony Brook University - SoMAS";
    String people_1_affiliation_acronym "SUNY-SB SoMAS";
    String people_1_person_name "Dr Zofia Baumann";
    String people_1_person_nid "51493";
    String people_1_role "Contact";
    String people_1_role_type "related";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Theresa McKee";
    String people_2_person_nid "51103";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Establishing Radionuclide Levels in the Atlantic and Pacific Oceans Originating from the Fukushima Daiichi Nuclear Power Facility";
    String projects_0_acronym "Fukushima Radionuclide Levels";
    String projects_0_description 
"The March 11, 2011 earthquake in Japan and the subsequent tsunami damaged and disrupted cooling systems at the Fukushima Daiichi nuclear power facility causing contamination of land and seas surrounding the site, as well as food supplies and drinking water. Small but measurable quantities of radioactivity have been detected in the atmosphere over the United States, including aerosol samples collected at the Woods Hole Oceanographic Institution, where I-131 was seen to increase to detectable levels as of March 21-22, 2011.
With major funding from the Moore Foundation, as well as a contribution from the National Science Foundation through a 2011 Grant for Rapid Response Research (RAPID) and support from the Woods Hole Oceanographic Institution, collaborating investigators from the United States, Japan, Spain, Monaco, and the United Kingdom were able to obtain samples off Japan for an early assessment of impacts.
From June 4 through June 19, 2011, a research cruise was carried out aboard the RV Kaimikai-O-Kanaloa, a research vessel operated by the University of Hawaii. During the cruise, hundreds of samples were collected in an area off the coast of Japan as close as 30 kilometers from the Fukushima Nuclear Power Plant and extending as far out as 600 kilometers off shore. The essential components of the program include: radionuclide measurements of water and particles; a radioecological study of biota, especially species at the base of the food chain and key fish species and a physical oceanographic study to characterize transport and water masses. A baseline radionuclide data set for the Atlantic and Pacific was obtained along an east to west network of sampling stations.  Three hundred sampling events took place at thirty major stations for a total of more than 1500 samples.  Along with 41 CTD stations, bottle samples of salinity, oxygen, radionuclides, and particulates were taken to depths of about 1000 meters. A list of the radionuclides sampled and a sampling summary map is available. One hundred net tows resulted in approximately fifty pounds of biological samples, including plankton and small fish.  Daily samples of aerosol were also taken.
Early investigation following an accidental release of man-made radionuclides is key to understanding the magnitude of the release and the relationship to public health issues  The research results also set the stage for the use of the longer lived radionuclides as tracers in subsequent studies by the community to understand ocean processes.";
    String projects_0_end_date "2012-04";
    String projects_0_geolocation "Northwest Pacific Ocean";
    String projects_0_name "Establishing Radionuclide Levels in the Atlantic and Pacific Oceans Originating from the Fukushima Daiichi Nuclear Power Facility";
    String projects_0_project_nid "2171";
    String projects_0_project_website "https://www.whoi.edu/page.do?pid=67796";
    String projects_0_start_date "2011-05";
    String publisher_name "Theresa McKee";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 34.48;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"Counts and concentrations of Cs134, Cs137, Ag110m, and K40 detected in
zooplankton and small fish samples are reported. Samples were collected as
part of a radioecological study of biota in order to assess the impact of
radiation leaks from the Fukushima Daiichi nuclear power facility, damaged by
a March 11, 2011 earthquake and tsunami. Radionuclide results were determined
from high purity germanium detectors and calibrated against IAEA standards as
described in Buesseler et al. (PNAS, 2012).
 
Reference:  
 Buesseler, Ken O., Steven R. Jayne, Nicholas S. Fisher, Irina I. Rypina,
Hannes Baumann, Zofia Baumann, Crystaline F. Breier, Elizabeth M. Douglass,
Jennifer George, Alison M. Macdonald, Hiroomi Miyamoto, Jun Nishikawa, Steven
M. Pike, and Sashiko Yoshida. 2012. Fukushima-derived radionuclides in the
ocean and biota off Japan. Proceedings of the National Academy of Sciences
(PNAS): 1120794109v1-201120794. DOI:
[https://dx.doi.org/10.1073/pnas.1120794109](\\\\https://dx.doi.org/10.1073/pnas.1120794109\\\\)";
    String title "Biological samples of Isotope concentrations of Cesium 134 and 137, Silver 110m, and Potassium 40 from cruise KOK1108 in June 2011 in the Western equatorial Pacific and Kurushio Extension (Fukushima Radionuclide Levels project)";
    String version "1";
    Float64 Westernmost_Easting 141.39;
    String xml_source "osprey2erddap.update_xml() v1.5-beta";
  }
}

 

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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