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Dataset Title:  Temperature-depth profiles from archival tags deployed on basking sharks
tagged from F/V Ezyduzit in the Northwest Atlantic Ocean from 2004-
2011 (Basking Shark Geochem Tracers project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_476294)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 ptt (dimensionless) ?          52556    110503
 date (unitless) ?          20040924    20120402
 uid (dimensionless) ?          1    212
 day (dd (01 to 31)) ?          1    31
 month (mm (01 to 12)) ?          1    12
 year (unitless) ?          2004    2012
 depth (m) ?          0.0    1504.0
  < slider >
 temp_min (degrees Celsius) ?          0.0    30.0
 temp_max (degrees Celsius) ?          3.4    30.0
 temp_mean (degrees Celsius) ?          3.4    30.0
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  ptt {
    Int32 _FillValue 2147483647;
    Int32 actual_range 52556, 110503;
    String bcodmo_name "pttno";
    String description "Platform terminal transmission (PTT) number; used as a unique identification number for the individual shark.";
    String long_name "PTT";
    String units "dimensionless";
  }
  date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20040924, 20120402;
    String bcodmo_name "date";
    String description "Date (year-month-day) in YYYYmmdd format.";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "unitless";
  }
  uid {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 212;
    String bcodmo_name "time_point";
    String description "Unique identification (UID) numbers that provide a daily index value.";
    String long_name "Uid";
    String units "dimensionless";
  }
  day {
    Byte _FillValue 127;
    Byte actual_range 1, 31;
    String bcodmo_name "day";
    String description "2-digit day of month.";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "dd (01 to 31)";
  }
  month {
    Byte _FillValue 127;
    Byte actual_range 1, 12;
    String bcodmo_name "month";
    String description "2-digit month of year.";
    String long_name "Month";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "mm (01 to 12)";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2004, 2012;
    String bcodmo_name "year";
    String description "4-digit year in YYYY format.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 1504.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth.";
    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";
  }
  temp_min {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 30.0;
    String bcodmo_name "temperature";
    String description "Minimum temperature.";
    String long_name "Temp Min";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  temp_max {
    Float32 _FillValue NaN;
    Float32 actual_range 3.4, 30.0;
    String bcodmo_name "temperature";
    String description "Maximum temperature.";
    String long_name "Temp Max";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  temp_mean {
    Float32 _FillValue NaN;
    Float32 actual_range 3.4, 30.0;
    String bcodmo_name "temperature";
    String description "Mean temperature.";
    String long_name "Temp Mean";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Basking sharks were tagged with Wildlife Computers PAT and miniPAT pop-up
archival tags. These tags logged temperature and pressure at regular intervals
through the deployment. Software on the tag then summarized the temperature-
depth and time-at-depth information over 12 or 24 hours and this summary
information is then transmitted via ARGOS satellites to the researcher upon
tag release on pre-determined date set by the researcher. Geolocation of the
sharks through time is then achieved either by light level geolocation or by
matching with ARGO float profiles as outlined below (see 'Processing
Description').";
    String awards_0_award_nid "474432";
    String awards_0_award_number "OCE-0825148";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0825148";
    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 "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Temperature-depth profiles from archival tags 
 PI: Simon Thorrold (WHOI) 
 Version: 21 Jan 2014";
    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 "2014-01-21T15:21:08Z";
    String date_modified "2019-11-20T19:21:03Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.476294.1";
    Float64 geospatial_vertical_max 1504.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-03-02T06:14:06Z (local files)
2024-03-02T06:14:06Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_476294.html";
    String infoUrl "https://www.bco-dmo.org/dataset/476294";
    String institution "BCO-DMO";
    String instruments_0_acronym "MK10 PAT";
    String instruments_0_dataset_instrument_nid "476314";
    String instruments_0_description "The Pop-up Archival Transmitting (Mk10-PAT) tag, manufactured by Wildlife Computers, is a combination of archival and Argos satellite technology. It is designed to track the large-scale movements and behavior of fish and other animals which do not spend enough time at the surface to allow the use of real-time Argos satellite tags. The PAT can be configured to transmit time-at-depth and time-at-temperature histograms, depth-temperature profiles, and/or light-level curves. The histogram duration (1 to 24 hours) and bin ranges can also be configured. PAT archives depth, temperature, and light-level data while being towed by the animal. At a user-specified date and time, the PAT actively corrodes the pin to which the tether is attached, thus releasing the PAT from the animal. The PAT then floats to the surface and transmits summarized information via the Argos system. Argos also uses the transmitted messages to provide the position of the tag at the time of release.";
    String instruments_0_instrument_name "Wildlife Computers Mk10 Pop-up Archival Tag (PAT)";
    String instruments_0_instrument_nid "471924";
    String instruments_0_supplied_name "Wildlife Computers PAT and miniPAT pop-up archival tags";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, day, depth, dmo, erddap, management, max, mean, min, month, oceanography, office, preliminary, ptt, temp_max, temp_mean, temp_min, temperature, uid, year";
    String license "https://www.bco-dmo.org/dataset/476294/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/476294";
    String param_mapping "{'476294': {'depth': 'flag - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/476294/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Simon Thorrold";
    String people_0_person_nid "474433";
    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";
    String people_1_person_name "Leah Houghton";
    String people_1_person_nid "474434";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Massachusetts Division of Marine Fisheries";
    String people_2_person_name "Greg Skomal";
    String people_2_person_nid "474435";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI";
    String people_3_person_name "Camrin Braun";
    String people_3_person_nid "474436";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Shannon Rauch";
    String people_4_person_nid "51498";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "Basking Shark Geochem Tracers";
    String projects_0_acronym "Basking Shark Geochem Tracers";
    String projects_0_description 
"From NSF abstract:
Animal migrations represent one of nature's most spectacular and yet mysterious phenomena. Movement patterns also have considerable biological significance, determining gene flow among geographically separated populations over ecological time scales and migratory connectivity among populations over ecological time. Unfortunately studies of migration in ocean ecosystems have lagged behind those in terrestrial environments due to the logistic constraints associated with tracking aquatic animals that may travel vast distances in an opaque 3-dimensional environment. Recent research using electronic tags have, however, revealed remarkable basin scale migrations in large pelagic fishes. Nonetheless, limited by size and battery life, artificial tags cannot yet provide lifetime migration histories of long-lived species. The investigators therefore will combine electronic archival tags and natural isotope markers in vertebrae to examine dispersal and migratory connectivity of basking sharks (Cetorhinus maximus) in the western North Atlantic Ocean. The project will build on preliminary archival tag data that has shown basking sharks moving from Cape Cod Bay to waters off the coast of Brazil. The results will provide insights relevant to conservation efforts directed at the world's second largest fish species that is globally distributed but listed on the IUCN Red List of Threatened Species as vulnerable due to overfishing throughout its range.
Stable isotopes have been used successfully to trace migratory connectivity in birds and to examine natal homing in teleost fishes. The investigators hope to transform the field by analyzing carbon and nitrogen isotopes in specific organic compounds isolated from vertebral samples to examine lifetime movement patterns of basking sharks. They will avoid confounding movement and a change in diet by analyzing essential and non-essential amino acids that differ in the degree of trophic fractionation for C and N isotopes. Results from pop-up archival tags will be combined with a meta-analysis of plankton carbon and nitrogen isotopes in the North Atlantic Ocean and used to generate predicted stable isotope profiles that will then be tested against observed patterns in the basking shark vertebrae. Fisheries and conservation biologists have come to the realization that many of the biological and physical processes that underlie population dynamics of marine-capture fish species have important spatial aspects. The investigators will develop and apply tools that will provide unique estimates of dispersal and migratory connectivity in a large pelagic shark. The tools will be readily applicable to other large pelagics that make basin-scale migrations and particularly those that take advantage of high primary and secondary productivity in high latitudes during summer months.
Publications resulting from this research:
Skomal, G.B., Zeeman, S.I., Chisholm, J.H., Summers, E.L., Walsh, H.J., McMahon, K.W., and Thorrold, S.R. 2009. Transequatorial migrations by basking sharks in the western Atlantic Ocean. Current Biology, v.19, p. 1019. doi: 10.1016/j.cub.2009.04.019";
    String projects_0_end_date "2013-08";
    String projects_0_name "Resolving Migratory Connectivity of Basking Sharks (Cetorhinus maximus) in the Western Atlantic Ocean: Integrating Novel Geochemical Tracers with Satellite Archival Tags";
    String projects_0_project_nid "474437";
    String projects_0_start_date "2008-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This dataset contains pop-up satellite archival transmitting (PSAT) tag data for 25 individual basking sharks tagged in the North Atlantic Ocean in 2004-2011. Platform terminal transmission (PTT) numbers are used as individual identification numbers throughout the dataset. Unique identification (UID) numbers provide a daily index value.";
    String title "Temperature-depth profiles from archival tags deployed on basking sharks tagged from F/V Ezyduzit in the Northwest Atlantic Ocean from 2004-2011 (Basking Shark Geochem Tracers project)";
    String version "1";
    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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