Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | [fisheggs] - Fish eggs collected in Bongo nets from R/V Albatross IV, R/V Endeavor, and R/V Oceanus during U.S. GLOBEC broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 (GB project) (U.S. GLOBEC Georges Bank) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_2322) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
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| Subset
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Attributes {
s {
cruiseid {
String bcodmo_name "cruiseid";
String description "cruise identification, e.g. EN330, for Endeavor cruise 330";
String long_name "Cruiseid";
}
year {
Int16 _FillValue 32767;
Int16 actual_range 1995, 1999;
String bcodmo_name "year";
String description "four digit year, local time";
String long_name "Year";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
}
inst {
String bcodmo_name "instrument";
String description "instrument identifier (Bongo)";
String long_name "Inst";
}
tow {
Int16 _FillValue 32767;
Int16 actual_range 1, 139;
String bcodmo_name "tow";
String description "bongo plankton tow station number";
String long_name "Tow";
}
station {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 85;
String bcodmo_name "station";
String description "consecutive station number";
String long_name "Station";
}
station_std {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 41;
String bcodmo_name "station_std";
String description "standard station number";
String long_name "Station Std";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 40.285, 42.468;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "latitude, at start of tow, 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 -69.142, -65.657;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "longitude, at start of tow, 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";
}
month_local {
String bcodmo_name "month_local";
String description "month of year, local time, (01-12)";
String long_name "Month Local";
}
day_local {
String bcodmo_name "day_local";
String description "day of month, local time, (01-31)";
String long_name "Day Local";
}
time_local {
String bcodmo_name "time_local";
String description "time at start of tow, local time";
String long_name "Time Local";
String units "hours/minutes";
}
depth_w {
Int16 _FillValue 32767;
Int16 actual_range 28, 1085;
String bcodmo_name "depth_w";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth of water at start of tow";
String long_name "Depth";
String standard_name "depth";
String units "meters";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 24.0, 208.0;
String axis "Z";
String bcodmo_name "depth_tow_max";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "maximum depth of the tow";
String ioos_category "Location";
String long_name "Depth";
String positive "down";
String standard_name "depth";
String units "m";
}
net {
String bcodmo_name "net";
String description "Net identifier";
String long_name "Net";
}
haul_factor_std {
Float32 _FillValue NaN;
Float32 actual_range 0.51, 12.5145;
String bcodmo_name "haul_factor_std";
String description "Standard Haul Factor1";
String long_name "Haul Factor Std";
}
taxon {
String bcodmo_name "taxon";
String description "Taxonomic name of larval fish species";
String long_name "Taxon";
}
num_caught {
String bcodmo_name "num_caught";
String description "Total number of fish eggs in the net";
String long_name "Num Caught";
}
num_st1 {
String bcodmo_name "unknown";
String description "Number of eggs caught in the first developmental stage; from just fertilized until blastopore almost closed.";
String long_name "Num St1";
}
num_st2 {
Int16 _FillValue 32767;
Int16 actual_range 0, 762;
String bcodmo_name "unknown";
String description "Number of eggs caught in development stage 2 from blastopore closed until tip of tail bud almost free from yolk surface.";
String long_name "Num St2";
}
num_st3 {
Int16 _FillValue 32767;
Int16 actual_range 1, 1496;
String bcodmo_name "unknown";
String description "Number of eggs caught in development stage 3 from just fertilized until blastopore almost closed.";
String long_name "Num St3";
}
num_st4 {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 22;
String bcodmo_name "unknown";
String description "Dead at capture, deteriorated.";
String long_name "Num St4";
}
num_st5 {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 5;
String bcodmo_name "unknown";
String description "Abnorma l development, not assignable to a normal stage.";
String long_name "Num St5";
}
num_st6 {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 120;
String bcodmo_name "unknown";
String description "2(Substage of 3) from blastopore closed until tail free, but not yet twisted and flexed.";
String long_name "Num St6";
}
num_st7 {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 22;
String bcodmo_name "unknown";
String description "2(Substage of 3) from tail twisted and flexed, until embryo extends";
String long_name "Num St7";
}
num_st8 {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 91;
String bcodmo_name "unknown";
String description "2(Substage of 3) Embryo extends > # and rence.";
String long_name "Num St8";
}
num_st9 {
Int16 _FillValue 32767;
Int16 actual_range 1, 222;
String bcodmo_name "unknown";
String description "2(Substage of 3) Embryo extends > full circle around egg circumference.";
String long_name "Num St9";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"Standard Haul Factor: numerical factor (multiplier) used to standardize
catches to be expressed as number caught per 10m2 of sea surface area. Most
haul factors range from 1 to 10. The Standard Haul Factor has not been applied
to the data reported here.";
String awards_0_award_nid "54610";
String awards_0_award_number "unknown GB NSF";
String awards_0_funder_name "National Science Foundation";
String awards_0_funding_acronym "NSF";
String awards_0_funding_source_nid "350";
String awards_0_program_manager "David L. Garrison";
String awards_0_program_manager_nid "50534";
String awards_1_award_nid "54626";
String awards_1_award_number "unknown GB 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
"GLOBEC Fish Eggs collected by Bongo nets
Peter Berrien and John Sibunka, PIs";
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 "2009-11-25T13:37:55Z";
String date_modified "2019-02-18T18:53:36Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.2322.1";
Float64 Easternmost_Easting -65.657;
Float64 geospatial_lat_max 42.468;
Float64 geospatial_lat_min 40.285;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -65.657;
Float64 geospatial_lon_min -69.142;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 208.0;
Float64 geospatial_vertical_min 24.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-11-23T16:50:55Z (local files)
2024-11-23T16:50:55Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2322.html";
String infoUrl "https://www.bco-dmo.org/dataset/2322";
String institution "BCO-DMO";
String instruments_0_acronym "Bongo Net";
String instruments_0_dataset_instrument_description "60 cm diameter Bongo nets (0.335 millimeter mesh)";
String instruments_0_dataset_instrument_nid "4167";
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 "bco, bco-dmo, biological, caught, chemical, cruiseid, data, dataset, day, day_local, depth, depth_tow_max, depth_w, dmo, erddap, factor, haul, haul_factor_std, inst, latitude, local, longitude, management, month, month_local, net, num, num_caught, num_st1, num_st2, num_st3, num_st4, num_st5, num_st6, num_st7, num_st8, num_st9, oceanography, office, preliminary, profiler, salinity, salinity-temperature-depth, st1, st2, st3, st4, st5, st6, st7, st8, st9, station, station_std, std, taxon, temperature, time, time_local, tow, year";
String license "https://www.bco-dmo.org/dataset/2322/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/2322";
Float64 Northernmost_Northing 42.468;
String param_mapping "{'2322': {'lat': 'master - latitude', 'depth_tow_max': 'flag - depth', 'lon': 'master - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2322/parameters";
String people_0_affiliation "National Oceanic and Atmospheric Administration";
String people_0_affiliation_acronym "NOAA";
String people_0_person_name "Dr John Sibunka";
String people_0_person_nid "50445";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Woods Hole Oceanographic Institution";
String people_1_affiliation_acronym "WHOI BCO-DMO";
String people_1_person_name "Ms Dicky Allison";
String people_1_person_nid "50382";
String people_1_role "BCO-DMO Data Manager";
String people_1_role_type "related";
String project "GB";
String projects_0_acronym "GB";
String projects_0_description
"The U.S. GLOBEC Georges Bank Program is a large multi- disciplinary multi-year oceanographic effort. The proximate goal is to understand the population dynamics of key species on the Bank - Cod, Haddock, and two species of zooplankton (Calanus finmarchicus and Pseudocalanus) - in terms of their coupling to the physical environment and in terms of their predators and prey. The ultimate goal is to be able to predict changes in the distribution and abundance of these species as a result of changes in their physical and biotic environment as well as to anticipate how their populations might respond to climate change.
The effort is substantial, requiring broad-scale surveys of the entire Bank, and process studies which focus both on the links between the target species and their physical environment, and the determination of fundamental aspects of these species' life history (birth rates, growth rates, death rates, etc).
Equally important are the modelling efforts that are ongoing which seek to provide realistic predictions of the flow field and which utilize the life history information to produce an integrated view of the dynamics of the populations.
The U.S. GLOBEC Georges Bank Executive Committee (EXCO) provides program leadership and effective communication with the funding agencies.";
String projects_0_geolocation "Georges Bank, Gulf of Maine, Northwest Atlantic Ocean";
String projects_0_name "U.S. GLOBEC Georges Bank";
String projects_0_project_nid "2037";
String projects_0_project_website "http://globec.whoi.edu/globec_program.html";
String projects_0_start_date "1991-01";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 40.285;
String standard_name_vocabulary "CF Standard Name Table v55";
String subsetVariables "inst";
String summary "Fish eggs collected in Bongo nets from R/V Albatross IV, R/V Endeavor, and R/V Oceanus during U.S. GLOBEC broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999";
String title "[fisheggs] - Fish eggs collected in Bongo nets from R/V Albatross IV, R/V Endeavor, and R/V Oceanus during U.S. GLOBEC broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 (GB project) (U.S. GLOBEC Georges Bank)";
String version "1";
Float64 Westernmost_Easting -69.142;
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.