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Dataset Title:  WP2 net meta data from F/V Great Pacific GP0108, GP0207-01, GP0207-02 in the
Coastal Gulf of Alaska, Northeast Pacific from 2001-2002 (NEP project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3011)
Range: longitude = -155.2753 to -139.9382°E, latitude = 55.6888 to 59.8583°N, depth = 17.0 to 2946.0m
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
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.")
 
Graph Settings
Marker Type:   Size: 
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Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
[The graph you specified. Please be patient.]

 

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 {
  cruiseid {
    String bcodmo_name "cruise_id";
    String description "Cruise identifier";
    String long_name "Cruiseid";
    String units "unitless";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2001, 2002;
    String bcodmo_name "year";
    String description "Year, e.g. 2001. in the format YYYY";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  haul_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 2001045, 2002083;
    String bcodmo_name "tow";
    String description "Tow number/identification.";
    String long_name "Haul Id";
    String units "dimensionless";
  }
  station {
    String bcodmo_name "station";
    String description "Station code.";
    String long_name "Station";
    String units "dimensionless";
  }
  yrday_local {
    Float32 _FillValue NaN;
    Float32 actual_range 198.4528, 218.3056;
    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. in the format mm";
    String long_name "Month Local";
    String units "unitless";
  }
  day_local {
    String bcodmo_name "day_local";
    String description "Day of month, local time. in the format dd";
    String long_name "Day Local";
    String units "unitless";
  }
  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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 55.6888, 59.8583;
    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 -155.2753, -139.9382;
    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 1.0, 129.5;
    String bcodmo_name "unknown";
    String description "{check on this}";
    String long_name "Distance Start";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 17.0, 2946.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "{check on this}";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  depth_tow {
    Int16 _FillValue 32767;
    Int16 actual_range 30, 200;
    String bcodmo_name "depth_cast";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "maximum depth of tow";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  comments {
    String bcodmo_name "comment";
    String description "free text comments";
    String long_name "Comments";
  }
 }
  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-um
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-um 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 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 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 "2020-01-16T21:29:02Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3011.1";
    Float64 Easternmost_Easting -139.9382;
    Float64 geospatial_lat_max 59.8583;
    Float64 geospatial_lat_min 55.6888;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -139.9382;
    Float64 geospatial_lon_min -155.2753;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2946.0;
    Float64 geospatial_vertical_min 17.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-09-25T08:43:53Z (local files)
2022-09-25T08:43:53Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3011.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3011";
    String institution "BCO-DMO";
    String instruments_0_acronym "WP-2";
    String instruments_0_dataset_instrument_description "WP-2 net: vertical net tow to 100-m; 0.57-m diameter ring; 0.253-mm mesh; samples frozen for C and N isotope analysis.";
    String instruments_0_dataset_instrument_nid "5256";
    String instruments_0_description "The WP-2 net is a variety of Ring Net for zooplankton but which is capable of being closed by means of a Nansen bottle-type release messenger weighing 0.8 kg and which can be equipped with a digital flow meter for determining the amount of water passing through the plankton net.  The rings may have a variety of sizes (57cm, 70cm, 75 cm, or 1m internal diameter) and the nets which make up this device are in two parts, a cylindrical upper part and a conical lower part.  The closing ring is between the two net segments. (more at KC Denmark)";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0168/";
    String instruments_0_instrument_name "WP-2 Plankton Net";
    String instruments_0_instrument_nid "594";
    String instruments_0_supplied_name "WP-2 Plankton Net";
    String keywords "bco, bco-dmo, biological, chemical, comments, cruiseid, data, dataset, day, day_local, depth, depth_start, depth_tow, distance, distance_start, dmo, erddap, haul, haul_id, latitude, local, longitude, management, month, month_local, oceanography, office, preliminary, start, station, time, time_local_start, year, yrday, yrday_local";
    String license "https://www.bco-dmo.org/dataset/3011/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3011";
    Float64 Northernmost_Northing 59.8583;
    String param_mapping "{'3011': {'depth_start': 'flag - depth', 'lon_start': 'flag - longitude', 'lat_start': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3011/parameters";
    String people_0_affiliation "University of Alaska Fairbanks";
    String people_0_affiliation_acronym "UAF";
    String people_0_person_name "Dr Kenneth  O Coyle";
    String people_0_person_nid "50498";
    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 "University of Washington";
    String people_2_affiliation_acronym "UW";
    String people_2_person_name "Dr Jamal  Hasan Moss";
    String people_2_person_nid "50467";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Nancy Copley";
    String people_3_person_nid "50396";
    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 55.6888;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "WP2 net meta data from F/V Great Pacific GP0108, GP0207-01, GP0207-02 in the Coastal Gulf of Alaska, Northeast Pacific from 2001-2002.";
    String title "WP2 net meta data from F/V Great Pacific GP0108, GP0207-01, GP0207-02 in the Coastal Gulf of Alaska, Northeast Pacific from 2001-2002 (NEP project)";
    String version "1";
    Float64 Westernmost_Easting -155.2753;
    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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