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Dataset Title:  Haul data and salmon numbers caught and processed from F/V Great Pacific, R/V
Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-
2004 (NEP project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3109)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 cruiseid (dimensionless) ?          "GP0108"    "MF0310"
 year (dimensionless) ?          2001    2004
 haul_id (dimensionless) ?          2001001    2004031
 sta_id (dimensionless) ?          "AC1"    "OC9"
 month_local (dimensionless) ?          "07"    "11"
 day_local (dimensionless) ?          "01"    "31"
 yrday_local (dimensionless) ?          198.3243    313.6132
 transect (dimensionless) ?          "Blying_Sound"    "Seward_Line"
 time_start_local (dimensionless) ?          "0236"    "2308"
 latitude (degrees_north) ?          54.29    60.04
  < slider >
 longitude (degrees_east) ?          -157.43    -137.2
  < slider >
 distance_start (nautical miles) ?          0.0    129.5
 depth_w_start (Depth, meters) ?          0.0    10000.0
 temp_start (degrees Celsius) ?          6.5    16.0
 time_end_local (dimensionless) ?          "0306"    "2338"
 lat_end (Latitude, decimal degrees) ?          54.31    60.02
 lon_end (Longitude, decimal degrees) ?          -157.45    -137.27
 dist_end (nautical miles) ?          1.33    131.3
 depth_w_end (Depth, meters) ?          0.0    5400.0
 temp_end (degrees Celsius) ?          6.63    15.94
 speed_kn (knots (nautical miles per hour)) ?          2.6    6.0
 habitat (dimensionless) ?          "Continental_Shelf"    "Offshore_of_Contin..."
 bongo_flag (dimensionless) ?          "N"    "Y"
 tucker_flag (dimensionless) ?          "N"    "Y"
 ctd_flag (dimensionless) ?      
   - +  ?
 sea_state (dimensionless) ?          "1-2ft_chop"    "no_swell"
 sky_cond (dimensionless) ?          "Clear"    "sunny"
 wind_speed (knots (nautical miles per hour)) ?          "10-15"    "none"
 maturity (text) ?          "Adult"    "Juvenile"
 common_name (text) ?          "Chinook"    "Steelhead"
 species (text) ?          "Oncorhynchus_gorbu..."    "Oncorhynchus_tshaw..."
 num_caught (integer) ?          0    2200
 num_kept (integer) ?          0    212
 num_thermal (integer) ?          0    112
 num_tag_release (integer) ?          0    2
 num_genetics (integer) ?          0    212
 num_stomachs (integer) ?          0    10
 adipose_clipped (integer) ?          0    4
 comments (text) ?          "1st_station_after_..."    "picture_on_spread_..."
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "Cruise identifier.";
    String long_name "Cruiseid";
    String units "dimensionless";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2001, 2004;
    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";
  }
  haul_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 2001001, 2004031;
    String bcodmo_name "haul identification";
    String description "Haul identification number. First 4 numbers represent year, second 4 numbers represent haul number during year specified.";
    String long_name "Haul Id";
    String units "dimensionless";
  }
  sta_id {
    String bcodmo_name "sta_id";
    String description "station identification";
    String long_name "Sta Id";
    String units "dimensionless";
  }
  month_local {
    String bcodmo_name "month_local";
    String description "month of year, local time";
    String long_name "Month Local";
    String units "dimensionless";
  }
  day_local {
    String bcodmo_name "day_local";
    String description "day, local time";
    String long_name "Day Local";
    String units "dimensionless";
  }
  yrday_local {
    Float32 _FillValue NaN;
    Float32 actual_range 198.3243, 313.6132;
    String bcodmo_name "yrday_local";
    String description "local day and decimal time, as 326.5 for the 326th day of the year, or November 22 at 1200 hours (noon)";
    String long_name "Yrday Local";
    String units "dimensionless";
  }
  transect {
    String bcodmo_name "transect";
    String description "transect number, as when a ship crosses an area repeatedly.";
    String long_name "Transect";
    String units "dimensionless";
  }
  time_start_local {
    String bcodmo_name "time_start_local";
    String description "starting time of observation, local time , 24 hour clock (HHMM)";
    String long_name "Time Start Local";
    String units "dimensionless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 54.29, 60.04;
    String axis "Y";
    String bcodmo_name "lat_start";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude at starting time of measurement (west is negative), in 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_start";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -157.43, -137.2;
    String axis "X";
    String bcodmo_name "lon_start";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude at starting time of measurement (west is negative), in 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_start";
    String standard_name "longitude";
    String units "degrees_east";
  }
  distance_start {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 129.5;
    String bcodmo_name "unknown";
    String description "distance from ?? at start of sampling";
    String long_name "Distance Start";
    String units "nautical miles";
  }
  depth_w_start {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 10000.0;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "water depth at start of sampling";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  temp_start {
    Float32 _FillValue NaN;
    Float32 actual_range 6.5, 16.0;
    String bcodmo_name "temperature";
    String description "water temperature at measurement depth, at the start of sampling";
    String long_name "Temp Start";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  time_end_local {
    String bcodmo_name "time_end_local";
    String description "ending time of observation, local time , 24 hour clock (HHMM)";
    String long_name "Time End Local";
    String units "dimensionless";
  }
  lat_end {
    Float32 _FillValue NaN;
    Float32 actual_range 54.31, 60.02;
    String bcodmo_name "lat_end";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude at end time of measurement; in decimal degrees (negative denotes South)";
    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 -157.45, -137.27;
    String bcodmo_name "lon_end";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude at end time of measurement; in decimal degrees (negative denotes West)";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  dist_end {
    Float32 _FillValue NaN;
    Float32 actual_range 1.33, 131.3;
    String bcodmo_name "unknown";
    String description "distance from ?? at end of sampling";
    String long_name "Dist End";
    String units "nautical miles";
  }
  depth_w_end {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5400.0;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "water depth at end of sampling";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  temp_end {
    Float32 _FillValue NaN;
    Float32 actual_range 6.63, 15.94;
    String bcodmo_name "temperature";
    String description "water temperature at measurement depth, at end of sampling";
    String long_name "Temp End";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  speed_kn {
    Float32 _FillValue NaN;
    Float32 actual_range 2.6, 6.0;
    String bcodmo_name "unknown";
    String description "speed of vessel during sampling";
    String long_name "Speed Kn";
    String units "knots (nautical miles per hour)";
  }
  habitat {
    String bcodmo_name "unknown";
    String description "near shore, continental slope, shelf, or off the shelf";
    String long_name "Habitat";
    String units "dimensionless";
  }
  bongo_flag {
    String bcodmo_name "flag";
    String description "Y=bongo sample taken; N=no bongo sample";
    String long_name "Bongo Flag";
    String units "dimensionless";
  }
  tucker_flag {
    String bcodmo_name "flag";
    String description "Y=Tucker trawl sample taken; N=no Tucker trawl sample";
    String long_name "Tucker Flag";
    String units "dimensionless";
  }
  ctd_flag {
    String bcodmo_name "flag";
    String description "Y=CTD sample taken; N=no CTD sample";
    String long_name "Ctd Flag";
    String units "dimensionless";
  }
  sea_state {
    String bcodmo_name "unknown";
    String description "description of wave height, condition";
    String long_name "Sea State";
    String units "dimensionless";
  }
  sky_cond {
    String bcodmo_name "unknown";
    String description "description of sky condition";
    String long_name "Sky Cond";
    String units "dimensionless";
  }
  wind_speed {
    String bcodmo_name "wind_speed_kts";
    String description "wind speed";
    String long_name "Wind Speed";
    String units "knots (nautical miles per hour)";
  }
  maturity {
    String bcodmo_name "unknown";
    String description "\"maturity of fish: juvenile, immature or adult";
    String long_name "Maturity";
    String units "text";
  }
  common_name {
    String bcodmo_name "unknown";
    String description "common name of fish";
    String long_name "Common Name";
    String units "text";
  }
  species {
    String bcodmo_name "species";
    String description "genus and species name of fish";
    String long_name "Species";
    String units "text";
  }
  num_caught {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 2200;
    String bcodmo_name "num_caught";
    String description "number of fish caught";
    String long_name "Num Caught";
    String units "integer";
  }
  num_kept {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 212;
    String bcodmo_name "unknown";
    String description "number of fish kept for analyses";
    String long_name "Num Kept";
    String units "integer";
  }
  num_thermal {
    Byte _FillValue 127;
    Byte actual_range 0, 112;
    String bcodmo_name "unknown";
    String description "number of fish processed for thermal mark";
    String long_name "Num Thermal";
    String units "integer";
  }
  num_tag_release {
    Byte _FillValue 127;
    Byte actual_range 0, 2;
    String bcodmo_name "unknown";
    String description "number of fish tagged and released";
    String long_name "Num Tag Release";
    String units "integer";
  }
  num_genetics {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 212;
    String bcodmo_name "unknown";
    String description "number of fish processed for genetic stock identification";
    String long_name "Num Genetics";
    String units "integer";
  }
  num_stomachs {
    Byte _FillValue 127;
    Byte actual_range 0, 10;
    String bcodmo_name "unknown";
    String description "number of fish processed for stomach analysis";
    String long_name "Num Stomachs";
    String units "integer";
  }
  adipose_clipped {
    Byte _FillValue 127;
    Byte actual_range 0, 4;
    String bcodmo_name "unknown";
    String description "number of fish processed for tissue analysis";
    String long_name "Adipose Clipped";
    String units "integer";
  }
  comments {
    String bcodmo_name "comment";
    String description "free text comments";
    String long_name "Comments";
    String units "text";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_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 (Fig. 2,
Table 1). 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. All tows lasted 30
minutes and covered 1.5 to 2.8 nautical miles. All fish sampling was done
during daylight hours. Sometimes this meant that salmon trawls preceded CTD
casts. For reference, sunrise occurred at 06:04 ADT and sunset at 22:27 ADT on
1 August 2003 at 58o N. Alaska Daylight Time (ADT) is 8 hours earlier than
Greenwich Mean Time (GMT).";
    String awards_0_award_nid "54767";
    String awards_0_award_number "OCE-0109078";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0109078";
    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 
"Salmon haul data 
  PI: Ned Cokelet 
  GoAlaska, LTOP  2001-2003 
   DMO added cruiseid 06/20/12.";
    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 "2020-01-20T18:15:12Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.3109.1";
    Float64 Easternmost_Easting -137.2;
    Float64 geospatial_lat_max 60.04;
    Float64 geospatial_lat_min 54.29;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -137.2;
    Float64 geospatial_lon_min -157.43;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-05-26T17:52:59Z (local files)
2024-05-26T17:52:59Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3109.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3109";
    String institution "BCO-DMO";
    String instruments_0_acronym "ADCP";
    String instruments_0_dataset_instrument_nid "4863";
    String instruments_0_description 
"The ADCP measures water currents with sound, using a principle of sound waves called the Doppler effect. A sound wave has a higher frequency, or pitch, when it moves to you than when it moves away. You hear the Doppler effect in action when a car speeds past with a characteristic building of sound that fades when the car passes.
The ADCP works by transmitting \"pings\" of sound at a constant frequency into the water. (The pings are so highly pitched that humans and even dolphins can't hear them.) As the sound waves travel, they ricochet off particles suspended in the moving water, and reflect back to the instrument. Due to the Doppler effect, sound waves bounced back from a particle moving away from the profiler have a slightly lowered frequency when they return. Particles moving toward the instrument send back higher frequency waves. The difference in frequency between the waves the profiler sends out and the waves it receives is called the Doppler shift. The instrument uses this shift to calculate how fast the particle and the water around it are moving.
Sound waves that hit particles far from the profiler take longer to come back than waves that strike close by. By measuring the time it takes for the waves to bounce back and the Doppler shift, the profiler can measure current speed at many different depths with each series of pings. (More from WHOI instruments listing).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/115/";
    String instruments_0_instrument_name "Acoustic Doppler Current Profiler";
    String instruments_0_instrument_nid "405";
    String instruments_0_supplied_name "Acoustic Doppler Current Profiler";
    String instruments_1_acronym "CTD";
    String instruments_1_dataset_instrument_nid "4862";
    String instruments_1_description "The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column.  The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or  radiometers.  It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.  This instrument designation is used when specific make and model are not known.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_1_instrument_name "CTD profiler";
    String instruments_1_instrument_nid "417";
    String instruments_1_supplied_name "Conductivity, Temperature, Depth";
    String instruments_2_acronym "Tucker Trawl";
    String instruments_2_dataset_instrument_nid "4861";
    String instruments_2_description "The original Tucker Trawl, a net with a rectangular mouth opening first built in 1951 by G.H. Tucker, was not an opening/closing system, but shortly thereafter it was modified so that it could be opened and closed.  The original had a 183 cm by 183 cm flexible rectangular mouth opening 914 cm long net with 1.8 cm stretched mesh for the first 457 cm and 1.3 cm mesh for last 457 cm. 152 cm of coarse plankton or muslin netting lined the end of the net. Tucker designed the net to collect animals associated with the deep scattering layers, principally euphausiids, siphonophores, and midwater fish. (from Wiebe and Benfield, 2003). Currently used Tucker Trawls usually have 1-m2 openings and can have a single net or multiple nets on the frame.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0161/";
    String instruments_2_instrument_name "Tucker Trawl";
    String instruments_2_instrument_nid "450";
    String instruments_2_supplied_name "Tucker Trawl";
    String keywords "adipose, adipose_clipped, atmosphere, atmospheric, bco, bco-dmo, biological, bongo, bongo_flag, caught, chemical, clipped, comments, common, common_name, cond, conductivity, cruiseid, ctd, ctd_flag, data, dataset, day, day_local, depth, depth_w_end, depth_w_start, dist, dist_end, distance, distance_start, dmo, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, end, erddap, flag, genetics, habitat, haul, haul_id, kept, lat_end, latitude, local, lon_end, longitude, management, maturity, month, month_local, name, num, num_caught, num_genetics, num_kept, num_stomachs, num_tag_release, num_thermal, oceanography, office, preliminary, release, science, sea, sea_state, sky, sky_cond, sonde, species, speed, speed_kn, sta, sta_id, start, state, stomachs, surface, tag, temp_end, temp_start, temperature, thermal, time, time_end_local, time_start_local, transect, tucker, tucker_flag, wind, wind_speed, winds, year, yrday, yrday_local";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/3109/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3109";
    Float64 Northernmost_Northing 60.04;
    String param_mapping "{'3109': {'lon_start': 'flag - longitude', 'lat_start': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3109/parameters";
    String people_0_affiliation "National Oceanic and Atmospheric Administration";
    String people_0_affiliation_acronym "NOAA-PMEL";
    String people_0_person_name "Dr Edward  D. Cokelet";
    String people_0_person_nid "50466";
    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 Jamal  Hasan Moss";
    String people_1_person_nid "50467";
    String people_1_role "Scientist";
    String people_1_role_type "originator";
    String people_2_affiliation "National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center";
    String people_2_affiliation_acronym "NOAA-AFSC-Auke";
    String people_2_person_name "Dr Jamal  Hasan Moss";
    String people_2_person_nid "50467";
    String people_2_role "Scientist";
    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 "Contact";
    String people_3_role_type "related";
    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 "Contact";
    String people_4_role_type "related";
    String people_5_affiliation "Woods Hole Oceanographic Institution";
    String people_5_affiliation_acronym "WHOI";
    String people_5_person_name "Nancy Copley";
    String people_5_person_nid "50396";
    String people_5_role "BCO-DMO Data Manager";
    String people_5_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 54.29;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "ctd_flag";
    String summary "Haul data and salmon numbers caught and processed from F/V Great Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2004.";
    String title "Haul data and salmon numbers caught and processed from F/V Great Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2004 (NEP project)";
    String version "1";
    Float64 Westernmost_Easting -157.43;
    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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