Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | [bongo net zooplankton] - Zooplankton counts for bongo net hauls in the Gulf of Alaska from F/V Great Pacific GP0401-01, GP0401-02 from October to November 2004 (NEP project) (U.S. GLOBEC Northeast Pacific) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_3012) |
| Information: | Summary
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| ISO 19115
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Attributes {
s {
cruiseid {
String bcodmo_name "cruise_id";
String description "Cruise identifier";
String long_name "Cruiseid";
String units "unitless";
}
haul_id {
Int32 _FillValue 2147483647;
Int32 actual_range 2004001, 2004031;
String bcodmo_name "tow";
String description "Tow number/identification.";
String long_name "Haul Id";
String units "N/A";
}
station {
String bcodmo_name "sta_id";
String description "Station identification.";
String long_name "Station";
String units "N/A";
}
yrday_local {
Float32 _FillValue NaN;
Float32 actual_range 293.4153, 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 "N/A";
}
year {
Int16 _FillValue 32767;
Int16 actual_range 2004, 2004;
String bcodmo_name "year";
String description "Four-digit year, e.g. 2001.";
String long_name "Year";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
String units "N/A";
}
month_local {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 10, 11;
String bcodmo_name "month_local";
String description "Month of year, local time. (01 - 12)";
String long_name "Month Local";
String units "N/A";
}
day_local {
String bcodmo_name "day_local";
String description "Day, local time. (01-31)";
String long_name "Day Local";
String units "N/A";
}
time_local_start {
String bcodmo_name "time_start_local";
String description "Starting time of observation, local time, 24 hour clock (HHMM).";
String long_name "Time Local Start";
String units "N/A";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 54.29, 58.9217;
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, -151.6233;
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";
}
lat_end {
Float32 _FillValue NaN;
Float32 actual_range 54.31, 58.9283;
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 -157.45, -151.6;
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";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 12.0, 24.0;
String axis "Z";
String bcodmo_name "depth";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "maximum depth of tow";
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";
}
mesh_size {
Int16 _FillValue 32767;
Int16 actual_range 335, 505;
String bcodmo_name "net_mesh";
String description "net mesh size";
String long_name "Mesh Size";
String units "microns";
}
vol_settled {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 53;
String bcodmo_name "unknown";
String description "volume of settled plankton sample";
String long_name "Vol Settled";
String units "milliliters";
}
disp_vol {
String bcodmo_name "disp_vol";
String description "Displacement volume (biovolume) of plankton net samples.";
String long_name "Disp Vol";
String units "milliliters";
}
taxon {
String bcodmo_name "taxon";
String description "Taxonomic group or entity. This may be a family, class, genus, species, etc.; usually this parameter will contain a mixture of taxonomic entities.";
String long_name "Taxon";
String units "N/A";
}
count_aliq {
Int16 _FillValue 32767;
Int16 actual_range 1, 465;
String bcodmo_name "count";
Float64 colorBarMaximum 100.0;
Float64 colorBarMinimum 0.0;
String description "Number of individuals found in fraction of sample examined.";
String long_name "Count Aliq";
String units "N/A";
}
aliquot {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 32;
String bcodmo_name "samp_fraction_denom";
String description "Denominator of split fraction. e.g. for 1/2 split, samp_fraction_denom is 2; but for 3/4, it is 1.333 (4/3).";
String long_name "Aliquot";
String units "N/A";
}
count_total {
Int16 _FillValue 32767;
Int16 actual_range 1, 12288;
String bcodmo_name "count";
Float64 colorBarMaximum 100.0;
Float64 colorBarMinimum 0.0;
String description "Number of individuals counted in sample.";
String long_name "Count Total";
String units "N/A";
}
sex {
String bcodmo_name "sex";
String description "Classification by sex (M = male, F = female).";
String long_name "Sex";
String units "N/A";
}
comments_catch {
String bcodmo_name "comment";
String description "Free text comments pertaining to sample contents.";
String long_name "Comments Catch";
String units "N/A";
}
comments_tow {
String bcodmo_name "comment";
String description "Free text comments pertaining to sampling process.";
String long_name "Comments Tow";
String units "N/A";
}
}
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 comment
"Gulf of Alaska Bongo catch data 2004
mesh sizes = 335 and 505 microns
06/13/2012 DMO corrected cruiseid to distinguish between 2 legs of cruise.";
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 "2020-01-16T21:48:13Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.3012.1";
Float64 Easternmost_Easting -151.6233;
Float64 geospatial_lat_max 58.9217;
Float64 geospatial_lat_min 54.29;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -151.6233;
Float64 geospatial_lon_min -157.4333;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 24.0;
Float64 geospatial_vertical_min 12.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-12-21T11:33:54Z (local files)
2024-12-21T11:33:54Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3012.html";
String infoUrl "https://www.bco-dmo.org/dataset/3012";
String institution "BCO-DMO";
String instruments_0_acronym "Bongo Net";
String instruments_0_dataset_instrument_description "Bongo nets with mesh sizes of 335 and 505 microns.";
String instruments_0_dataset_instrument_nid "4794";
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 keywords "aliq, aliquot, bco, bco-dmo, biological, catch, chemical, comments, comments_catch, comments_tow, count, count_aliq, count_total, cruiseid, data, dataset, day, day_local, depth, disp, disp_vol, dmo, erddap, haul, haul_id, lat_end, latitude, local, lon_end, longitude, management, mesh, mesh_size, month, month_local, oceanography, office, preliminary, settled, sex, size, start, station, taxon, time, time_local_start, total, tow, vol, vol_settled, year, yrday, yrday_local";
String license "https://www.bco-dmo.org/dataset/3012/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/3012";
Float64 Northernmost_Northing 58.9217;
String param_mapping "{'3012': {'depth': 'flag - depth', 'lon_start': 'flag - longitude', 'lat_start': 'flag - latitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3012/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 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";
String people_3_affiliation_acronym "NOAA";
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_person_name "Nancy Copley";
String people_4_person_nid "50396";
String people_4_role "BCO-DMO Data Manager";
String people_4_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 "year";
String summary "Zooplankton counts for bongo net hauls in the Gulf of Alaska from F/V Great Pacific GP0401-01, GP0401-02 from October to November 2004.";
String title "[bongo net zooplankton] - Zooplankton counts for bongo net hauls in the Gulf of Alaska from F/V Great Pacific GP0401-01, GP0401-02 from October to November 2004 (NEP project) (U.S. GLOBEC Northeast Pacific)";
String version "1";
Float64 Westernmost_Easting -157.4333;
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
Data Access Protocol (DAP) and its
selection constraints.
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.