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Dataset Title:  Trawl catches, abundance, and biomass from F/V Sea Eagle and F/V Frosti
cruises in the Northeast Pacific from 2000-2002 as part of the U.S. GLOBEC
program (NEP project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2465)
Range: longitude = -126.007 to -124.1281°E, latitude = 41.8189 to 44.692°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 "cruiseid";
    String description "Cruise ID.";
    String long_name "Cruise Id";
    String units "unitless";
  }
  ship {
    String bcodmo_name "ship";
    String description "Name of vessel.";
    String long_name "Ship";
    String units "unitless";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2000, 2002;
    String bcodmo_name "year";
    String description "Year.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  cast {
    Byte _FillValue 127;
    Byte actual_range 1, 104;
    String bcodmo_name "cast";
    String description "Cast number within cruise.";
    String long_name "Cast";
    String units "unitless";
  }
  station_std {
    String bcodmo_name "station_std";
    String description "Standard station name.";
    String long_name "Station Std";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 41.8189, 44.692;
    String axis "Y";
    String bcodmo_name "lat_start";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "starting latitude (decimal degrees)";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "lat_begin";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -126.007, -124.1281;
    String axis "X";
    String bcodmo_name "lon_start";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "starting longitude (decimal degrees)";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "lon_begin";
    String standard_name "longitude";
    String units "degrees_east";
  }
  lat_end {
    Float32 _FillValue NaN;
    Float32 actual_range 41.7918, 44.6867;
    String bcodmo_name "lat_end";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "ending latitude (decimal degrees)";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "decimal degrees";
  }
  lon_end {
    Float32 _FillValue NaN;
    Float32 actual_range -126.0063, -124.1302;
    String bcodmo_name "lon_end";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "ending longitude (decimal degrees)";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  depth_w {
    Float32 _FillValue NaN;
    Float32 actual_range 26.0, 3017.52;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Bottom depth of station at start of trawl event.";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  month_local {
    Byte _FillValue 127;
    Byte actual_range 5, 8;
    String bcodmo_name "month_local";
    String description "Local month (01 to 12).";
    String long_name "Month Local";
    String units "unitless";
  }
  day_local {
    Byte _FillValue 127;
    Byte actual_range 1, 31;
    String bcodmo_name "day_local";
    String description "Day of month (local time, 0 to 31).";
    String long_name "Day Local";
    String units "unitless";
  }
  time_local_begin {
    String bcodmo_name "time_start_local";
    String description "Starting local time (24-hr).";
    String long_name "Time Local Begin";
    String units "unitless";
  }
  time_local_end {
    String bcodmo_name "time_end_local";
    String description "Ending local time (24-hr).";
    String long_name "Time Local End";
    String units "unitless";
  }
  inst {
    String bcodmo_name "instrument";
    String description "Sampling instrument.";
    String long_name "Inst";
    String units "unitless";
  }
  gear_area_m2 {
    Int16 _FillValue 32767;
    Int16 actual_range 540, 540;
    String bcodmo_name "unknown";
    String description "mouth area of gear (m2).";
    String long_name "Gear Area M2";
    String units "m2";
  }
  min_sample_depth {
    Byte _FillValue 127;
    Byte actual_range 0, 75;
    String bcodmo_name "depth_min";
    String description "Minimum sampling depth.";
    String long_name "Min Sample Depth";
    String units "meters";
  }
  max_sample_depth {
    Byte _FillValue 127;
    Byte actual_range 18, 93;
    String bcodmo_name "depth_max";
    String description "Maximum sampling depth.";
    String long_name "Max Sample Depth";
    String units "meters";
  }
  dist_towed {
    Float32 _FillValue NaN;
    Float32 actual_range 1.26, 6.51;
    String bcodmo_name "unknown";
    String description "distance towed (km)";
    String long_name "Dist Towed";
    String units "km";
  }
  vol_net_km3 {
    Float32 _FillValue NaN;
    Float32 actual_range 6.8067e-4, 0.00351675;
    String bcodmo_name "vol_filt_km3";
    String description "volume of water filtered by trawl (km3)";
    String long_name "Vol Net Km3";
    String units "km3";
  }
  genus_species {
    String bcodmo_name "species";
    String description "Taxonomic category.";
    String long_name "Genus Species";
    String units "unitless";
  }
  life_stage {
    String bcodmo_name "stage";
    String description "Life stage based on length.";
    String long_name "Life Stage";
    String units "unitless";
  }
  weight_caught {
    Float32 _FillValue NaN;
    Float32 actual_range 2.3e-4, 4523.64;
    String bcodmo_name "weight";
    String description "Weight of catch by species (kg).";
    String long_name "Weight Caught";
    String units "kilograms";
  }
  num_caught {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 73343;
    String bcodmo_name "num_caught";
    String description "Number of individuals caught by species; zeros indicate presence.";
    String long_name "Num Caught";
    String units "unitless";
  }
  abund_10sup6m3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 48634.17;
    String bcodmo_name "unknown";
    String description "Abundance";
    String long_name "Abund 10sup6m3";
    String units "number/106 m3";
  }
  comments {
    String bcodmo_name "comment";
    String description "comment for species record";
    String long_name "Comments";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Methods  
 At each station, a Nordic 264 rope trawl built by Nor'Eastern Trawl Systems,
Inc. was towed in surface waters by a chartered fishing vessel (F/V Sea Eagle
in 2000 and F/V Frosti in 2002). It was towed with about 300 m of warp for 30
min at 1.5 m/sec with a pair of 3.0-m foam-filled trawl doors and 90.7-kg
weight chains to spread the mouth open. Except for two mid-water trawling
events, six A-4 Polyform floats were clipped to wingtips and the headrope to
fish the trawl at the surface. The trawl has a maximum mouth opening of
approximately 30-m wide x 18-m high. Mesh sizes ranged from 162.6 cm in the
throat of the trawl near the jib lines to 8.9 cm in the codend. To maintain
catches of small fish and squid, a 6.1-m long, 0.8-cm knotless liner was sewn
into the codend. All but several tows were 30 min in duration. The majority of
trawls were done during daytime, although a few were done at dawn and dusk and
two diel series were completed in 2002.
 
All juvenile salmon caught were immediately frozen for laboratory analysis.
All fish, squid, and large jellyfish caught were counted and up to 50 of them
measured at sea. However, when very large catches of a species occurred, a
subsample was measured, counted, and weighed; remaining individuals were mass
weighed and total count estimated from known number/kg. When the trawl was
full, weight of the total catch was estimated and species counts derived from
a subsample as just described. Catches were standardized to number per 106 m3.
 
In the laboratory, all frozen juvenile salmonids were weighed prior to
dissections for subsamples of growth, condition, pathology, genetic analysis,
and food habits. As large subadult/adult salmonids were released shortly after
being captured, their weights were estimated from length-weight regressions.
Also, common species of non-salmonid fish and squids not weighed at sea had
their weights computed from length-weight regressions where their lengths were
available. For those individuals without length data, station or cruise-wide
average of number/kg was used to estimate weights.";
    String awards_0_award_nid "54665";
    String awards_0_award_number "OCE-0002855";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0002855";
    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 
"NEP-CCS Nordic 264 Rope Trawl data collected by Ric Brodeur/Suzan Pool  
   (rick.brodeur@noaa.gov) 
  trawl_lev1 datafile: trawl_SE0005.dat  
  trawl_lev2 datafile: trawl_SE0005_1.dat";
    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 "2009-11-29T11:43:48Z";
    String date_modified "2019-11-28T14:49:06Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2465.1";
    Float64 Easternmost_Easting -124.1281;
    Float64 geospatial_lat_max 44.692;
    Float64 geospatial_lat_min 41.8189;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -124.1281;
    Float64 geospatial_lon_min -126.007;
    String geospatial_lon_units "degrees_east";
    String history 
"2022-08-12T09:23:53Z (local files)
2022-08-12T09:23:53Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2465.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2465";
    String institution "BCO-DMO";
    String instruments_0_acronym "Nordic Rope Trawl";
    String instruments_0_dataset_instrument_description "At each station, a Nordic 264 rope trawl built by Nor'Eastern Trawl Systems, Inc. was towed in surface waters by a chartered fishing vessel (F/V Sea Eagle in 2000 and F/V Frosti in 2002). It was towed with about 300 m of warp for 30 min at 1.5 m/sec with a pair of 3.0-m foam-filled trawl doors and 90.7-kg weight chains to spread the mouth open.";
    String instruments_0_dataset_instrument_nid "4203";
    String instruments_0_description "A Nordic 264 surface rope trawl is a 198-m long, 25-m wide, 35-m vertical trawl net, equipped with a 1.2-cm mesh liner in the cod end and towed at the surface.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/23/";
    String instruments_0_instrument_name "Nordic 264 Rope Trawl";
    String instruments_0_instrument_nid "466";
    String instruments_0_supplied_name "Nordic 264 Rope Trawl";
    String keywords "10sup6m3, abund, abund_10sup6m3, area, bco, bco-dmo, begin, biological, cast, caught, chemical, comments, cruise, cruise_id, data, dataset, day, day_local, depth, depth_w, dist, dist_towed, dmo, end, erddap, gear, gear_area_m2, genus, genus_species, inst, km3, lat_end, latitude, life, life_stage, local, lon_end, longitude, management, max, max_sample_depth, min, min_sample_depth, month, month_local, net, num, num_caught, oceanography, office, preliminary, profiler, salinity, salinity-temperature-depth, sample, ship, species, stage, station, station_std, std, temperature, time, time_local_begin, time_local_end, towed, vol, vol_net_km3, weight, weight_caught, year";
    String license "https://www.bco-dmo.org/dataset/2465/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2465";
    Float64 Northernmost_Northing 44.692;
    String param_mapping "{'2465': {'lon_begin': 'flag - longitude', 'lat_begin': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2465/parameters";
    String people_0_affiliation "Northwest Fisheries Science Center - Newport";
    String people_0_affiliation_acronym "NOAA NWFSC";
    String people_0_person_name "Richard D Brodeur";
    String people_0_person_nid "50481";
    String people_0_role "Co-Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Northwest Fisheries Science Center - Newport";
    String people_1_affiliation_acronym "NOAA NWFSC";
    String people_1_person_name "Dr Robert  L Emmett";
    String people_1_person_nid "50464";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Oregon State University";
    String people_2_affiliation_acronym "OSU-CIMRS";
    String people_2_person_name "Suzan S Pool";
    String people_2_person_nid "50496";
    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 BCO-DMO";
    String people_3_person_name "Ms Dicky Allison";
    String people_3_person_nid "50382";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_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)";
    Float64 Southernmost_Northing 41.8189;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "inst,gear_area_m2";
    String summary "Trawl catches, abundance, and biomass from F/V Sea Eagle and F/V Frosti cruises in the Northeast Pacific from 2000-2002 as part of the U.S. GLOBEC program";
    String title "Trawl catches, abundance, and biomass from F/V Sea Eagle and F/V Frosti cruises in the Northeast Pacific from 2000-2002 as part of the U.S. GLOBEC program (NEP project)";
    String version "1";
    Float64 Westernmost_Easting -126.007;
    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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