BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  Juvenile pink salmon energy density, wet, dry, frozen weights from F/V Great
Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific,
2001-2003 (NEP project)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3108)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 year (dimensionless) ?          2001    2003
 control_id (dimensionless) ?          2001100295    2003101874
 weight_froz (grams?) ?          4.0    73.827
 weight_wet (grams) ?          7    41
 weight_dry (grams) ?          0.0    17.63
 energy_dens (Joules/gram wet weight) ?          0.0    13955.45
 
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 {
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2001, 2003;
    String bcodmo_name "year";
    String description "year, reported as YYYY, e.g. 1995";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "dimensionless";
  }
  control_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 2001100295, 2003101874;
    String bcodmo_name "sample";
    String description "identification number for individual sample: first four numbers are year; following six numbers are individual fish identification numbers.";
    String long_name "Control Id";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "dimensionless";
  }
  weight_froz {
    Float32 _FillValue NaN;
    Float32 actual_range 4.0, 73.827;
    String bcodmo_name "weight";
    String description "weight of frozen fish";
    String long_name "Weight Froz";
    String units "grams?";
  }
  weight_wet {
    Byte _FillValue 127;
    Byte actual_range 7, 41;
    String bcodmo_name "weight";
    String description "wet weight of fish";
    String long_name "Weight Wet";
    String units "grams";
  }
  weight_dry {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 17.63;
    String bcodmo_name "weight";
    String description "dry weight of fish";
    String long_name "Weight Dry";
    String units "grams";
  }
  energy_dens {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 13955.45;
    String bcodmo_name "unknown";
    String description "energy density as calculated: wet weight =4.186*(dry/wet)*(cal/g)";
    String long_name "Energy Dens";
    String units "Joules/gram wet weight";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"## Sampling Activities
 
The OCC/GLOBEC survey occurred along the coastal waters of the Gulf of Alaska
and in Shelikof Strait, AK during 2001-2004. Transects sampled during the
survey were perpendicular to shore and extended from nearshore across the
continental shelf to oceanic waters beyond the 200-m shelf break. The survey
was conducted aboard the contract fishing vessel F/V Great Pacific during
2001-2002 and 2004, and aboard NOAA Ship Miller Freeman during 2003.
 
Fish samples were collected in a 198-m long mid-water rope trawl with
hexagonal mesh wings and body, and a 1.2-cm mesh liner in the codend. The rope
trawl was towed at 6.5 to 9.3 km/hour, at or near surface, and had a typical
spread of 40-m horizontally and 15-m vertically. All tows lasted 30 minutes
and covered 2.8 to 4.6 km, and sampling was done during daylight hours;
however, tows occurred during night as part of a 24-hour repeat sampling of a
single station for one day during 2001 and 2003.
 
Once the net was hauled aboard, salmon and other fishes were sorted by species
and counted. Standard biological measurements including fork length, body
weight, and sex were taken from sub-samples of all salmon species. Sub-samples
of juvenile pink (Oncorhynchus gorbuscha), chum (O. keta), and sockeye (O.
nerka) salmon were frozen whole for laboratory analyses of food habits,
otolith hatchery thermal marks (pink and chum salmon), and genetic analysis
(chum salmon).
 
Plankton samples were collected using a 1-m2 Tucker trawl fitted with a
505-micron mesh net that was towed near surface (approximately 1 knot) for 5
minutes (2001-2003 surveys). During 2004, plankton samples were collected
using a WP-2 net fitted with a 253-micron mesh net that was deployed
vertically to a depth of 100-m depth. The volume of water filtered by the net
was estimated using flow meters. Plankton samples were transferred into vials,
preserved in 5% formalin onboard the ship, and stored until a laboratory
analysis was completed.";
    String awards_0_award_nid "54790";
    String awards_0_award_number "OCE-0104622";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0104622";
    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 
"juvenile pink salmon energy density 
  PI: Ned Cokelet 
  GoAlaska, LTOP  2001-2003";
    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 "2010-06-16T20:40:39Z";
    String date_modified "2020-01-20T18:10:07Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3108.1";
    String history 
"2024-03-02T07:33:35Z (local files)
2024-03-02T07:33:35Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3108.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3108";
    String institution "BCO-DMO";
    String instruments_0_acronym "TrawlMid";
    String instruments_0_dataset_instrument_description "Fish samples were collected with a 198-m-long mid-water rope trawl  with hexagonal mesh wings and body, and a 1.2-cm mesh liner in the  codend. The rope trawl was towed at 3.5 to 5 kt, at or near surface, and  had a typical spread of 40-m horizontally and 14-m vertically.";
    String instruments_0_dataset_instrument_nid "5396";
    String instruments_0_description 
"A mid-water or pelagic trawl is a net towed at a chosen depth in the water column to catch schooling fish such as herring and mackerel.  Midwater trawl nets have very large front openings to herd schooling fish toward the back end where they become trapped in the narrow \"broiler\".  The sides of the deployed net are spread horizontally with two large metal foils, called \"doors,\" positioned in front of the net. As the trawler moves forward, the doors, and therefore the net, are forced outward, keeping the net open.
This instrument designation is used when specific make and model are not known.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/23/";
    String instruments_0_instrument_name "Midwater Trawl";
    String instruments_0_instrument_nid "467";
    String instruments_0_supplied_name "Midwater Trawl";
    String keywords "bco, bco-dmo, biological, chemical, control, control_id, data, dataset, dens, dmo, dry, energy, energy_dens, erddap, froz, management, oceanography, office, preliminary, weight, weight_dry, weight_froz, weight_wet, wet, year";
    String license "https://www.bco-dmo.org/dataset/3108/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3108";
    String param_mapping "{'3108': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3108/parameters";
    String people_0_affiliation "University of Alaska Fairbanks";
    String people_0_affiliation_acronym "UAF";
    String people_0_person_name "Dr Lewis  J Haldorson";
    String people_0_person_nid "50477";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Washington";
    String people_1_affiliation_acronym "UW";
    String people_1_person_name "Dr D Beauchamp";
    String people_1_person_nid "51054";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Washington";
    String people_2_affiliation_acronym "UW";
    String people_2_person_name "K. Myers";
    String people_2_person_nid "51055";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "University of Washington";
    String people_3_affiliation_acronym "UW";
    String people_3_person_name "Dr Jamal  Hasan Moss";
    String people_3_person_nid "50467";
    String people_3_role "Scientist";
    String people_3_role_type "originator";
    String people_4_affiliation "National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center";
    String people_4_affiliation_acronym "NOAA-AFSC-Auke";
    String people_4_person_name "Dr Jamal  Hasan Moss";
    String people_4_person_nid "50467";
    String people_4_role "Scientist";
    String people_4_role_type "originator";
    String people_5_affiliation "University of Washington";
    String people_5_affiliation_acronym "UW";
    String people_5_person_name "Dr Jamal  Hasan Moss";
    String people_5_person_nid "50467";
    String people_5_role "Contact";
    String people_5_role_type "related";
    String people_6_affiliation "National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center";
    String people_6_affiliation_acronym "NOAA-AFSC-Auke";
    String people_6_person_name "Dr Jamal  Hasan Moss";
    String people_6_person_nid "50467";
    String people_6_role "Contact";
    String people_6_role_type "related";
    String people_7_affiliation "Woods Hole Oceanographic Institution";
    String people_7_affiliation_acronym "WHOI BCO-DMO";
    String people_7_person_name "Nancy Copley";
    String people_7_person_nid "50396";
    String people_7_role "BCO-DMO Data Manager";
    String people_7_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 "Juvenile pink salmon energy density, wet, dry, frozen weights from F/V Great Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2003.";
    String title "Juvenile pink salmon energy density, wet, dry, frozen weights from F/V Great Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2003 (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.


 
ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact