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Dataset Title:  Supporting data for Bird Observations from the Northeast Pacific (NEP)
Northern California Current cruises on the R/V New Horizon, NH0005 and NH0007,
in 2000 (NEP project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2338)
Range: longitude = -131.38 to -124.03°E, latitude = 41.87 to 44.67°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
Graph Type:  ?
X Axis: 
Y Axis: 
Constraints ? Optional
Constraint #1 ?
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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   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
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    Click on the map to specify a new center point. ?
[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 {
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2000, 2000;
    String bcodmo_name "year";
    String description "Year in YYYY format";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  trans_no {
    Int16 _FillValue 32767;
    Int16 actual_range 15101, 22508;
    String bcodmo_name "transect";
    String description "Transect number, combination of year day and transect number for that day.";
    String long_name "Trans No";
    String units "dimensionless";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 41.87, 44.67;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude at beginning of the transect, negative = South.";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -131.38, -124.03;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude at beginning of the transect, negative = West.";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  time_local {
    Int16 _FillValue 32767;
    Int16 actual_range 500, 2332;
    String bcodmo_name "time_local";
    String description "Time at the beginning of the transect, local time.";
    String long_name "Time Local";
    String units "hours & minutes";
  trans_len_min {
    Byte _FillValue 127;
    Byte actual_range 4, 20;
    String bcodmo_name "unknown";
    String description "Time the transect lasted";
    String long_name "Trans Len Min";
    String units "minutes";
  sog {
    Float32 _FillValue NaN;
    Float32 actual_range 2.0, 10.8;
    String bcodmo_name "sog";
    String description "Ship speed over the ground";
    String long_name "Speed Over Ground";
    String units "knots/hour";
  area {
    Float32 _FillValue NaN;
    Float32 actual_range 0.27, 1.85;
    String bcodmo_name "unknown";
    String description "Ocean area surveyed in that transect";
    String long_name "Area";
    String units "kilometers2";
  head_c {
    Byte _FillValue 127;
    Byte actual_range 1, 36;
    String bcodmo_name "unknown";
    String description "Ship course given as compass direction to the nearest 10 degrees,divided by 10. (e.g., a course of 180 degrees is recorded as 18)";
    String long_name "Head C";
    String units "degrees";
  wdir {
    Byte _FillValue 127;
    Byte actual_range 0, 35;
    String bcodmo_name "unknown";
    String description "Wind direction to nearest 10 degrees, divided by 10.";
    String long_name "Wdir";
    String units "degrees";
  wspd {
    Byte _FillValue 127;
    Byte actual_range 0, 35;
    String bcodmo_name "wind_speed_kts";
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String description "Wind speed";
    String long_name "Wind Speed";
    String units "knots";
  trans_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 10015101, 10022508;
    String bcodmo_name "transect";
    String description "Identification number for transect.";
    String long_name "Trans Id";
    String units "dimensionless";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Seabird surveys were conducted continuously during daylight, using a
300-m-wide transect strip. Within that strip, birds were counted that occurred
within the 90 degree quadrant off the ship's bow that offered the best
observation conditions.";
    String awards_0_award_nid "54691";
    String awards_0_award_number "OCE-0534609";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0534609";
    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 "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    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 
"Supporting environmental data for Bird Studies from  
   GLOBEC NEP Northern California Current 
   PIs D. Ainley and C. Tynan";
    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 "2009-11-29T11:27:09Z";
    String date_modified "2019-02-22T15:46:30Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2338.1";
    Float64 Easternmost_Easting -124.03;
    Float64 geospatial_lat_max 44.67;
    Float64 geospatial_lat_min 41.87;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -124.03;
    Float64 geospatial_lon_min -131.38;
    String geospatial_lon_units "degrees_east";
    String history 
"2023-09-22T17:26:51Z (local files)
2023-09-22T17:26:51Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2338.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2338";
    String institution "BCO-DMO";
    String instruments_0_acronym "Binocs";
    String instruments_0_dataset_instrument_nid "5392";
    String instruments_0_description "Handheld binoculars, generally used for bird observations.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/91/";
    String instruments_0_instrument_name "Binoculars, Handheld";
    String instruments_0_instrument_nid "428";
    String instruments_0_supplied_name "Binoculars, Handheld";
    String keywords "area, atmosphere, atmospheric, bco, bco-dmo, biological, chemical, data, dataset, dmo, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, erddap, ground, head, head_c, latitude, len, local, longitude, management, min, oceanography, office, over, preliminary, science, sog, speed, surface, time, time_local, trans, trans_id, trans_len_min, trans_no, wdir, wind, wind_speed, winds, wspd, year";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/2338/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2338";
    Float64 Northernmost_Northing 44.67;
    String param_mapping "{'2338': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2338/parameters";
    String people_0_affiliation "H.T. Harvey & Associates";
    String people_0_person_name "Dr David  G. Ainley";
    String people_0_person_nid "50491";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Northwest Fisheries Science Center - Seattle";
    String people_1_affiliation_acronym "NOAA NWFSC";
    String people_1_person_name "Dr Cynthia Tynan";
    String people_1_person_nid "50476";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Ms Dicky Allison";
    String people_2_person_nid "50382";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_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 41.87;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "year";
    String summary "Supporting data for Bird Observations from the Northeast Pacific (NEP) Northern California Current cruises on the R/V New Horizon, NH0005 and NH0007, in 2000";
    String title "Supporting data for Bird Observations from the Northeast Pacific (NEP) Northern California Current cruises on the R/V New Horizon, NH0005 and NH0007, in 2000 (NEP project)";
    String version "1";
    Float64 Westernmost_Easting -131.38;
    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
For example,
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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