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Dataset Title:  SeaSoar CTD Data from R/V Wecoma cruise W0008 in the Northeast Pacific in 2000
as part of the U.S. GLOBEC program (NEP project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2468)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 link ?          "    "
 description ?          "\"W0008 SeaSoar Data"    "\"W0008 SeaSoar Data"
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more info)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  link {
    String bcodmo_name "brief_desc";
    String description "Link to U.S. GLOBEC Data Acknowledgement Policy page.";
    String long_name "Link";
  }
  description {
    String bcodmo_name "brief_desc";
    String description "Dataset brief description.";
    String long_name "Description";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description "\"\"";
    String awards_0_award_nid "54817";
    String awards_0_award_number "OCE-0001035";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0001035";
    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 "Phillip R. Taylor";
    String awards_0_program_manager_nid "50451";
    String awards_1_award_nid "55044";
    String awards_1_award_number "unknown NEP NOAA";
    String awards_1_funder_name "National Oceanic and Atmospheric Administration";
    String awards_1_funding_acronym "NOAA";
    String awards_1_funding_source_nid "352";
    String cdm_data_type "Other";
    String comment 
"SeaSoar data from the  U.S. GLOBEC Northeast Pacific Program 
 are available from the SeaSoar Web Site 
 at Oregon State University 
 Contact Jack Barth at OSU (Phone: 541-737-1607; email barth@oce.orst.edu) 
 for further information or additional details.  The data are accessible  
 directly by clicking on the link below.";
    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 "2009-11-29T11:48:46Z";
    String date_modified "2020-02-27T20:09:06Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2468.1";
    String history 
"2020-11-29T15:55:57Z (local files)
2020-11-29T15:55:57Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2468.html";
    String infoUrl "https://www.bco-dmo.org/dataset/2468";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD SeaSoar";
    String instruments_0_dataset_instrument_description "CTD measurements taken during a SeaSoar tow.";
    String instruments_0_dataset_instrument_nid "4144";
    String instruments_0_description "CTD measurements taken during a SeaSoar tow.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/131/";
    String instruments_0_instrument_name "CTD SeaSoar";
    String instruments_0_instrument_nid "423";
    String instruments_0_supplied_name "CTD SeaSoar";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, description, dmo, erddap, link, management, oceanography, office, preliminary";
    String license "https://www.bco-dmo.org/dataset/2468/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2468";
    String param_mapping "{'2468': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2468/parameters";
    String people_0_affiliation "Oregon State University";
    String people_0_affiliation_acronym "OSU-CEOAS";
    String people_0_person_name "Dr Jack Barth";
    String people_0_person_nid "50480";
    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 "Ms Dicky Allison";
    String people_1_person_nid "50382";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "NEP";
    String projects_0_acronym "NEP";
    String projects_0_description 
"Program in a Nutshell
Goal:  To understand the effects of climate variability and climate change on the distribution, abundance and production of marine animals (including commercially important living marine resources) in the eastern North Pacific. To embody this understanding in diagnostic and prognostic ecosystem models, capable of capturing the ecosystem response to major climatic fluctuations.
Approach: To study the effects of past and present climate variability on the population ecology and population dynamics of marine biota and living marine resources, and to use this information as a proxy for how the ecosystems of the eastern North Pacific may respond to future global climate change. The strong temporal variability in the physical and biological signals of the NEP will be used to examine the biophysical mechanisms through which zooplankton and salmon populations respond to physical forcing and biological interactions in the coastal regions of the two gyres. Annual and interannual variability will be studied directly through long-term observations and detailed process studies; variability at longer time scales will be examined through retrospective analysis of directly measured and proxy data. Coupled biophysical models of the ecosystems of these regions will be developed and tested using the process studies and data collected from the long-term observation programs, then further tested and improved by hindcasting selected retrospective data series.";
    String projects_0_geolocation "Northeast Pacific Ocean, Gulf of Alaska";
    String projects_0_name "U.S. GLOBEC Northeast Pacific";
    String projects_0_project_nid "2038";
    String projects_0_project_website "http://nepglobec.bco-dmo.org";
    String projects_0_start_date "1997-01";
    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 "SeaSoar CTD data from R/V Wecoma cruise W0008 in the Northeast Pacific in 2000 as part of the U.S. GLOBEC-NEP program.";
    String title "SeaSoar CTD Data from R/V Wecoma cruise W0008 in the Northeast Pacific in 2000 as part of the U.S. GLOBEC program (NEP 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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