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Dataset Title:  Surface transects for arsenic speciation, antimony speciation, and alkaline
phosphatase activity from R/V Knorr cruise KN204-01 in the Subtropical North
Atlantic Ocean in 2011 (U.S. GEOTRACES NAT project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3830)
Range: longitude = -69.8106 to -24.5337°E, latitude = 17.417 to 38.6944°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | 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 {
  cruise_id {
    String bcodmo_name "cruise_id";
    String description "cruise id";
    String long_name "Cruise Id";
    String units "text";
  }
  cruise_part {
    String bcodmo_name "cruise_part";
    String description "Identifier for a segment of a leg of a cruise, where a leg may have been broken into parts.";
    String long_name "Cruise Part";
    String units "dimensionless";
  }
  geofish_station {
    String bcodmo_name "geofish_station";
    String description "towed fish station";
    String long_name "Geofish Station";
    String units "text";
  }
  date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20111108, 20111209;
    String bcodmo_name "date";
    String description "Date in the format YYYYMMDD";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  time2 {
    String bcodmo_name "time";
    String description "Time";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "HHMM";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 17.417, 38.6944;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude (South is negative)";
    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 -69.8106, -24.5337;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude (West is negative)";
    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";
  }
  AsIII {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5.44;
    String bcodmo_name "unknown";
    String description "Arsenite (HAsO32-)";
    String long_name "As III";
    String units "nmol/L";
  }
  TAs {
    Float32 _FillValue NaN;
    Float32 actual_range 2.69, 32.71;
    String bcodmo_name "unknown";
    String description "Total inorganic arsenic (AsIII+V)";
    String long_name "TAs";
    String units "nmol/L";
  }
  As {
    Float32 _FillValue NaN;
    Float32 actual_range 2.12, 31.82;
    String bcodmo_name "arsenic";
    String description "Arsenic As(V)";
    String long_name "As";
    String units "nanomoles/liter";
  }
  MMAs {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 1.42;
    String bcodmo_name "unknown";
    String description "Monomethyl arsenic";
    String long_name "MMAs";
    String units "nmol/L";
  }
  DMAs {
    Float32 _FillValue NaN;
    Float32 actual_range 0.03, 34.67;
    String bcodmo_name "unknown";
    String description "Dimethyl arsenic";
    String long_name "DMAs";
    String units "nmol/L";
  }
  AP_Turnover_Time {
    Float32 _FillValue NaN;
    Float32 actual_range 0.2, 3.72;
    String bcodmo_name "unknown";
    String description "Alkaline phosphatase turnover time";
    String long_name "AP Turnover Time";
    String units "hours";
  }
  AP_Turnover_Rate {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0023, 0.0759;
    String bcodmo_name "unknown";
    String description "Alkaline phosphatase turnover rate";
    String long_name "AP Turnover Rate";
    String units "h-1";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Filtered (0.4 micromole) water samples from the Geotraces surface tow-fish
taken at discrete times were placed into 500 mL Teflon FEP bottles,
refrigerated, and analyzed within 24 hours of collection. Arsenic and antimony
speciation determined using selective hydride generation, liquid nitrogen-
cooled trapping, and then revolatilization and determination with gas
chromatography/photoionization detection (Cutter et al., 1991; Cutter and
Cutter, 2006).
 
Calibration performed daily via the standard additions method, with a minimum
of 4 additions of AsIII, AsV, MMAs, or DMAs depending on the analyses. The
slope from the linear fit to these data was then applied to all samples for
that day. Detection limits were 25 pmol/L for As(III) and As(III+V), and 50
pmol/L for MMAs and DMAs. Precision was better than 8% (relative standard
deviation) for all As species. Alkaline phosphatase enzyme activity was
measured using the fluorescence method of Ammerman (1993).";
    String awards_0_award_nid "54753";
    String awards_0_award_number "OCE-0926423";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0926423";
    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 "Donald L. Rice";
    String awards_0_program_manager_nid "51467";
    String awards_1_award_nid "54938";
    String awards_1_award_number "OCE-0926092";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0926092";
    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 "Donald L. Rice";
    String awards_1_program_manager_nid "51467";
    String cdm_data_type "Other";
    String comment 
"Version:  03 January 2013 
  PI: Cutter 
  
  KN204-01,A/B surface transects from tow-fish  
  for arsenic speciation and alkaline phosphatase activity 
  
 Please note that data may not be final, pending intercalibration results and 
 further analysis. If you are interested in following changes to US GEOTRACES 
 NAT data, there is an RSS feed available via the BCO-DMO US GEOTRACES  
 <a href=\"https://www.bco-dmo.org/project/2066\" target=\"_blank\">project page</a>.";
    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 "2012-12-31T20:08:39Z";
    String date_modified "2020-04-10T19:14:34Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.3830.1";
    Float64 Easternmost_Easting -24.5337;
    Float64 geospatial_lat_max 38.6944;
    Float64 geospatial_lat_min 17.417;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -24.5337;
    Float64 geospatial_lon_min -69.8106;
    String geospatial_lon_units "degrees_east";
    String history 
"2022-08-16T16:48:09Z (local files)
2022-08-16T16:48:09Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3830.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3830";
    String institution "BCO-DMO";
    String instruments_0_acronym "GeoFish";
    String instruments_0_dataset_instrument_nid "5971";
    String instruments_0_description "The GeoFish towed sampler is a custom designed near surface (";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/31/";
    String instruments_0_instrument_name "GeoFish Towed near-Surface Sampler";
    String instruments_0_instrument_nid "549";
    String instruments_0_supplied_name "GeoFish";
    String instruments_1_acronym "TUV";
    String instruments_1_dataset_instrument_nid "6018";
    String instruments_1_description "A towed undulating vehicle is a generic class of instruments.  See the data set specific information for a detailed description. These are often prototype instrument packages designed to make very specific measurements.";
    String instruments_1_instrument_name "towed undulating vehicle";
    String instruments_1_instrument_nid "604";
    String instruments_1_supplied_name "towed undulating vehicle";
    String instruments_2_acronym "Gas Chromatograph";
    String instruments_2_dataset_instrument_nid "5972";
    String instruments_2_description "Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC)";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB02/";
    String instruments_2_instrument_name "Gas Chromatograph";
    String instruments_2_instrument_nid "661";
    String instruments_2_supplied_name "Gas Chromatograph";
    String keywords "AP_Turnover_Rate, AP_Turnover_Time, AsIII, bco, bco-dmo, biological, chemical, cruise, cruise_id, cruise_part, data, dataset, date, dmas, dmo, erddap, geofish, geofish_station, iii, latitude, longitude, management, mmas, oceanography, office, part, preliminary, rate, station, tas, time, time2, turnover";
    String license "https://www.bco-dmo.org/dataset/3830/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3830";
    Float64 Northernmost_Northing 38.6944;
    String param_mapping "{'3830': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3830/parameters";
    String people_0_affiliation "Old Dominion University";
    String people_0_affiliation_acronym "ODU";
    String people_0_person_name "Gregory Cutter";
    String people_0_person_nid "50679";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Leibniz Institute for Baltic Sea Research Warnemunde Germany";
    String people_1_person_name "Oliver Wurl";
    String people_1_person_nid "51337";
    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 "U.S. GEOTRACES NAT";
    String projects_0_acronym "U.S. GEOTRACES NAT";
    String projects_0_description 
"Much of this text appeared in an article published in OCB News, October 2008, by the OCB Project Office.
The first U.S. GEOTRACES Atlantic Section will be specifically centered around a sampling cruise to be carried out in the North Atlantic in 2010. Ed Boyle (MIT) and Bill Jenkins (WHOI) organized a three-day planning workshop that was held September 22-24, 2008 at the Woods Hole Oceanographic Institution. The main goal of the workshop, sponsored by the National Science Foundation and the U.S. GEOTRACES Scientific Steering Committee, was to design the implementation plan for the first U.S. GEOTRACES Atlantic Section. The primary cruise design motivation was to improve knowledge of the sources, sinks and internal cycling of Trace Elements and their Isotopes (TEIs) by studying their distributions along a section in the North Atlantic (Figure 1). The North Atlantic has the full suite of processes that affect TEIs, including strong meridional advection, boundary scavenging and source effects, aeolian deposition, and the salty Mediterranean Outflow. The North Atlantic is particularly important as it lies at the \"origin\" of the global Meridional Overturning Circulation.
It is well understood that many trace metals play important roles in biogeochemical processes and the carbon cycle, yet very little is known about their large-scale distributions and the regional scale processes that affect them. Recent advances in sampling and analytical techniques, along with advances in our understanding of their roles in enzymatic and catalytic processes in the open ocean provide a natural opportunity to make substantial advances in our understanding of these important elements. Moreover, we are motivated by the prospect of global change and the need to understand the present and future workings of the ocean's biogeochemistry. The GEOTRACES strategy is to measure a broad suite of TEIs to constrain the critical biogeochemical processes that influence their distributions. In addition to these \"exotic\" substances, more traditional properties, including macronutrients (at micromolar and nanomolar levels), CTD, bio-optical parameters, and carbon system characteristics will be measured. The cruise starts at Line W, a repeat hydrographic section southeast of Cape Cod, extends to Bermuda and subsequently through the North Atlantic oligotrophic subtropical gyre, then transects into the African coast in the northern limb of the coastal upwelling region. From there, the cruise goes northward into the Mediterranean outflow. The station locations shown on the map are for the \"fulldepth TEI\" stations, and constitute approximately half of the stations to be ultimately occupied.
Figure 1. The proposed 2010 Atlantic GEOTRACES cruise track plotted on dissolved oxygen at 400 m depth. Data from the World Ocean Atlas (Levitus et al., 2005) were plotted using Ocean Data View (courtesy Reiner Schlitzer). [click on the image to view a larger version]
Hydrography, CTD and nutrient measurements will be supported by the Ocean Data Facility (J. Swift) at Scripps Institution of Oceanography and funded through NSF Facilities. They will be providing an additional CTD rosette system along with nephelometer and LADCP. A trace metal clean Go-Flo Rosette and winch will be provided by the group at Old Dominion University (G. Cutter) along with a towed underway pumping system.
The North Atlantic Transect cruise began in 2010 with KN199 leg 4 (station sampling) and leg 5 (underway sampling only) (Figure 2).
KN199-04 Cruise Report (PDF)
Figure 2. The red line shows the cruise track for the first leg of the US Geotraces North Atlantic Transect on the R/V Knorr in October 2010.  The rest of the stations (beginning with 13) will be completed in October-December 2011 on the R/V Knorr (courtesy of Bill Jenkins, Chief Scientist, GNAT first leg). [click on the image to view a larger version]
The section completion effort resumed again in November 2011 with KN204-01A,B (Figure 3).
KN204-01A,B Cruise Report (PDF)
Figure 3. Station locations occupied on the US Geotraces North Atlantic Transect on the R/V Knorr in November 2011.  [click on the image to view a larger version]
Data from the North Atlantic Transect cruises are available under the Datasets heading below, and consensus values for the SAFe and North Atlantic GEOTRACES Reference Seawater Samples are available from the GEOTRACES Program Office: Standards and Reference Materials
ADCP data are available from the Currents ADCP group at the University of Hawaii at the links below:KN199-04   (leg 1 of 2010 cruise; Lisbon to Cape Verde)KN199-05   (leg 2 of 2010 cruise; Cape Verde to Charleston, NC)KN204-01A (part 1 of 2011 cruise; Woods Hole, MA to Bermuda)KN204-01B (part 2 of 2011 cruise; Bermuda to Cape Verde)";
    String projects_0_end_date "2013-08";
    String projects_0_geolocation "Subtropical western and eastern North Atlantic Ocean";
    String projects_0_name "U.S. GEOTRACES North Atlantic Transect";
    String projects_0_project_nid "2066";
    String projects_0_project_website "http://www.geotraces.org/";
    String projects_0_start_date "2010-10";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 17.417;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "cruise_id";
    String summary "Surface transects for arsenic speciation, antimony speciation, and alkaline phosphatase activity. Data for the concentrations of the dissolved (<0.4 \\u00b5m) arsenic species: total inorganic As (III+V), arsenite (AsIII), As(V), monomethyl As, dimethyl As,  and the activity of the enzyme alkaline phosphatase (unfiltered).";
    String title "Surface transects for arsenic speciation, antimony speciation, and alkaline phosphatase activity from R/V Knorr cruise KN204-01 in the Subtropical North Atlantic Ocean in 2011 (U.S. GEOTRACES NAT project)";
    String version "1";
    Float64 Westernmost_Easting -69.8106;
    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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