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Dataset Title:  Metadata for tucker trawls and bongo net hauls from F/V Great Pacific and R/V
Miller Freeman multiple cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-
2004 (NEP project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3013)
Range: longitude = -157.4333 to -137.1962°E, latitude = 54.29 to 60.0407°N, depth = 0.0 to 10000.0m
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 {
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2001, 2004;
    String bcodmo_name "year";
    String description "year, e.g. 2002";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "dimensionless";
  }
  cruiseid {
    String bcodmo_name "cruise_id";
    String description "Cruise identifier";
    String long_name "Cruiseid";
    String units "unitless";
  }
  transect_name {
    String bcodmo_name "transect";
    String description "transect name";
    String long_name "Transect Name";
    String units "dimensionless";
  }
  station {
    String bcodmo_name "sta_id";
    String description 
"station code:
CSE, Cape St. Elias 
CC, Cape Cleare
GAK, Gulf of Alaska, Seward Line
CCH, Cape Chiniak
GP, Gore Point
CK, Cape Kekurnoi
IB, 
CKA, Cape Kaguyak 
IP, Icy Point
CN, Cape Nukshak
OC, Ocean Cape";
    String long_name "Station";
    String units "dimensionless";
  }
  habitat {
    String bcodmo_name "unknown";
    String description "Description/name of habitat.";
    String long_name "Habitat";
    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";
  }
  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 "numerical day of month, local time";
    String long_name "Day Local";
    String units "dimensionless";
  }
  haul_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 2001001, 2004031;
    String bcodmo_name "tow";
    String description "tow identification";
    String long_name "Haul Id";
    String units "dimensionless";
  }
  time_local_start {
    String bcodmo_name "time_start_local";
    String description "starting time of observation, local time , 24 hour clock";
    String long_name "Time Local Start";
    String units "dimensionless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 54.29, 60.0407;
    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)";
    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 -157.4333, -137.1962;
    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)";
    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";
    String long_name "Distance Start";
    String units "nautical miles";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 10000.0;
    String axis "Z";
    String bcodmo_name "depth_begin";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "net depth at start of sampling";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  lat_end {
    Float32 _FillValue NaN;
    Float32 actual_range 54.31, 60.0217;
    String bcodmo_name "lat_end";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude at end time of measurement (south in negative)";
    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 -157.4515, -137.2728;
    String bcodmo_name "lon_end";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude at end time of measurement (west is negative)";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  distance_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 "Distance End";
    String units "nautical miles";
  }
  depth_end {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5400.0;
    String bcodmo_name "depth_end";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "net 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 "temperature at end";
    String long_name "Temp End";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  sea_state {
    String bcodmo_name "unknown";
    String description "wave height and type comment";
    String long_name "Sea State";
    String units "dimensionless";
  }
  sky_condition {
    String bcodmo_name "unknown";
    String description "cloud cover/weather comment";
    String long_name "Sky Condition";
    String units "dimensionless";
  }
  wind_speed {
    String bcodmo_name "wind_speed";
    String description "wind speed";
    String long_name "Wind Speed";
    String units "knots";
  }
  tucker_flag {
    String bcodmo_name "flag";
    String description 
"Y=Tucker trawl tow taken at station;
N=Tucker trawl tow not taken at station";
    String long_name "Tucker Flag";
    String units "dimensionless";
  }
  bongo_flag {
    String bcodmo_name "flag";
    String description 
"Y=bongo tow taken at station;
N=bongo tow not taken at station";
    String long_name "Bongo Flag";
    String units "dimensionless";
  }
  ctd_flag {
    String bcodmo_name "flag";
    String description 
"Y=CTD taken at station;
N=CTD not taken at station";
    String long_name "Ctd Flag";
    String units "dimensionless";
  }
  comments {
    String bcodmo_name "comment";
    String description "Free-text comments.";
    String long_name "Comments";
    String units "dimensionless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"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 \\u2022 hour-1, 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 "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 cdm_data_type "Other";
    String comment 
"Gulf of Alaska plankton tow metadata 
  2001 - 2004 
  PI:  
  sort by transect_name, station, date";
    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 "2020-01-16T21:41:07Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3013.1";
    Float64 Easternmost_Easting -137.1962;
    Float64 geospatial_lat_max 60.0407;
    Float64 geospatial_lat_min 54.29;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -137.1962;
    Float64 geospatial_lon_min -157.4333;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 10000.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-01-23T19:22:16Z (local files)
2022-01-23T19:22:16Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3013.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3013";
    String institution "BCO-DMO";
    String instruments_0_acronym "Bongo Net";
    String instruments_0_dataset_instrument_description "Net mesh sizes were 335 and 505 microns";
    String instruments_0_dataset_instrument_nid "4796";
    String instruments_0_description "A Bongo Net consists of paired plankton nets, typically with a 60 cm diameter mouth opening and varying mesh sizes, 10 to 1000 micron. The Bongo Frame was designed by the National Marine Fisheries Service for use in the MARMAP program. It consists of two cylindrical collars connected with a yoke so that replicate samples are collected at the same time. Variations in models are designed for either vertical hauls (OI-2500 = NMFS Pairovet-Style, MARMAP Bongo, CalVET) or both oblique and vertical hauls (Aquatic Research). The OI-1200 has an opening and closing mechanism that allows discrete \"known-depth\" sampling. This model is large enough to filter water at the rate of 47.5 m3/minute when towing at a speed of two knots. More information: Ocean Instruments, Aquatic Research, Sea-Gear";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0009/";
    String instruments_0_instrument_name "Bongo Net";
    String instruments_0_instrument_nid "410";
    String instruments_0_supplied_name "Bongo Nets";
    String instruments_1_acronym "CTD SBE 19";
    String instruments_1_dataset_instrument_description "Seabird Seacat SBE 19 CTD, equipped with a WetStar fluorometer";
    String instruments_1_dataset_instrument_nid "4797";
    String instruments_1_description "The Sea-Bird SBE 19 SEACAT Recorder measures conductivity, temperature, and pressure (depth).  The SEACAT is self-powered and self-contained and can be deployed in profiling or moored mode. The SBE 19 SEACAT was replaced in 2001 by the 19plus. more information from Sea-Bird Electronics";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0042/";
    String instruments_1_instrument_name "CTD Sea-Bird SEACAT 19";
    String instruments_1_instrument_nid "420";
    String instruments_1_supplied_name "CTD Seabird 19";
    String instruments_2_acronym "Tucker Trawl";
    String instruments_2_dataset_instrument_description "Tucker: 1-m2 trawl with 0.505-mm mesh; towed near surface for 5 minutes; flow-metered volume";
    String instruments_2_dataset_instrument_nid "4795";
    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 "atmosphere, atmospheric, bco, bco-dmo, biological, bongo, bongo_flag, chemical, comments, condition, conductivity, cruiseid, ctd, ctd_flag, data, dataset, day, day_local, depth, depth_end, depth_start, distance, distance_end, distance_start, dmo, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, end, erddap, flag, habitat, haul, haul_id, lat_end, latitude, local, lon_end, longitude, management, month, month_local, name, oceanography, office, preliminary, science, sea, sea_state, sky, sky_condition, sonde, speed, start, state, station, surface, temp_end, temperature, time, time_local_start, transect, transect_name, 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/3013/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3013";
    Float64 Northernmost_Northing 60.0407;
    String param_mapping "{'3013': {'depth_start': 'flag - depth', 'lon_start': 'flag - longitude', 'lat_start': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3013/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 "Co-Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Alaska Fairbanks";
    String people_1_affiliation_acronym "UAF";
    String people_1_person_name "Dr Kenneth  O Coyle";
    String people_1_person_nid "50498";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Alaska Fairbanks";
    String people_2_affiliation_acronym "UAF";
    String people_2_person_name "Seth L. Danielson";
    String people_2_person_nid "50470";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center";
    String people_3_affiliation_acronym "NOAA-AFSC-Auke";
    String people_3_person_name "Dr Edward  V. Farley";
    String people_3_person_nid "50465";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "University of Washington";
    String people_4_affiliation_acronym "UW";
    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 "National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center";
    String people_5_affiliation_acronym "NOAA-AFSC-Auke";
    String people_5_person_name "Dr Jamal  Hasan Moss";
    String people_5_person_nid "50467";
    String people_5_role "Scientist";
    String people_5_role_type "originator";
    String people_6_affiliation "University of Washington";
    String people_6_affiliation_acronym "UW";
    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 "National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center";
    String people_7_affiliation_acronym "NOAA-AFSC-Auke";
    String people_7_person_name "Dr Jamal  Hasan Moss";
    String people_7_person_nid "50467";
    String people_7_role "Contact";
    String people_7_role_type "related";
    String people_8_affiliation "Woods Hole Oceanographic Institution";
    String people_8_affiliation_acronym "WHOI BCO-DMO";
    String people_8_person_name "Nancy Copley";
    String people_8_person_nid "50396";
    String people_8_role "BCO-DMO Data Manager";
    String people_8_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 "Metadata for tucker trawls and bongo net hauls from F/V Great Pacific and R/V Miller Freeman multiple cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2004.";
    String title "Metadata for tucker trawls and bongo net hauls from F/V Great Pacific and R/V Miller Freeman multiple cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2004 (NEP project)";
    String version "1";
    Float64 Westernmost_Easting -157.4333;
    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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