BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Data Access Form ?

Dataset Title:  AK-LTOP CalVET Net Tow counts and biomass collected from multiple cruises from
the Northeast Pacific, 1997-2001 (NEP project)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3009)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 cruise_id (dimensionless) ?          "hx201"    "w0307a"
 year (dimensionless) ?          1997    2004
 station_name (dimensionless) ?          "GAK1"    "PWS2"
 station (dimensionless) ?          1    117
 yrday_local (dimensionless) ?          62.8125    289.75
 month_local (dimensionless) ?          3    10
 day_local (dimensionless) ?          1    31
 time_local (dimensionless) ?          "0208"    "2348"
 latitude (degrees_north) ?          58.095    60.537
  < slider >
 longitude (degrees_east) ?          -149.4756    -144.0538
  < slider >
 depth_w (Depth, meters) ?          105    2600
 depth_cast (Depth) ?          100.0    120.0
 vol_filt ?          3.46    75.71
 species (dimensionless) ?          "Acartia_longiremis"    "nd_superciliaris"
 family (dimensionless) ?          "Acartiidae"    "Typhloscolecidae"
 phylum (dimensionless) ?          "Annelida"    "Platyhelminthes"
 subphylum (dimensionless) ?          "Crustacea"    "Vertebrata"
 class (dimensionless) ?          "Actinopterygii"    "Thaliacea"
 subclass (dimensionless) ?          "Coleiodea"    "Trachylina"
 order (dimensionless) ?          "Aciculata"    "Thecosomata"
 infraorder (dimensionless) ?          "Brachyura"    "Onychopoda"
 stage (dimensionless) ?          "AF"    "zoea_1"
 abundance (number per cubic meter) ?          0.02    5991.45
 biomass_g (grams wet weight per cubic meter) ?          3.26548E-7    2.108695984
 
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.Hover here to see a list of options. Click on an option to select it.")

File type: (more info)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruise_id {
    String bcodmo_name "cruiseid";
    String description "cruise identifier, e.g. hx281 is R/V Alpha Helix cruise 281";
    String long_name "Cruise Id";
    String units "dimensionless";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1997, 2004;
    String bcodmo_name "year";
    String description "year, e.g. 2004.";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "dimensionless";
  }
  station_name {
    String bcodmo_name "station";
    String description 
"GAK, Gulf of Alaska
HB,Hogan Bay Line
HE,Hinchinbrook Entrance Line
KIP, Knight Island Passage
MS, Montegue Strait Line
PWS, Prince William Sound";
    String long_name "Station Name";
    String units "dimensionless";
  }
  station {
    Byte _FillValue 127;
    Byte actual_range 1, 117;
    String bcodmo_name "station";
    String description "consecutive station number";
    String long_name "Station";
    String units "dimensionless";
  }
  yrday_local {
    Float32 _FillValue NaN;
    Float32 actual_range 62.8125, 289.75;
    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 {
    Byte _FillValue 127;
    Byte actual_range 3, 10;
    String bcodmo_name "month_local";
    String description "numerical month of year, local time";
    String long_name "Month Local";
    String units "dimensionless";
  }
  day_local {
    Byte _FillValue 127;
    Byte actual_range 1, 31;
    String bcodmo_name "day_local";
    String description "numerical day of month, local time";
    String long_name "Day Local";
    String units "dimensionless";
  }
  time_local {
    String bcodmo_name "time_local";
    String description "time of day, local time, using 2400 clock format (HHMM)";
    String long_name "Time Local";
    String units "dimensionless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 58.095, 60.537;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, in decimal degrees, north is positive";
    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 -149.4756, -144.0538;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, in decimal degrees, east is positive";
    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";
  }
  depth_w {
    Int16 _FillValue 32767;
    Int16 actual_range 105, 2600;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "sonic depth, in meters";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  depth_cast {
    Float64 _FillValue NaN;
    Float64 actual_range 100.0, 120.0;
    String bcodmo_name "depth_cast";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "maximum depth of cast (tow)";
    String long_name "Depth";
    String standard_name "depth";
  }
  vol_filt {
    Float32 _FillValue NaN;
    Float32 actual_range 3.46, 75.71;
    String bcodmo_name "vol_filt";
    String description "volume of water filtered during the tow.";
    String long_name "Vol Filt";
  }
  species {
    String bcodmo_name "species";
    String description "a binomial that consists of a genus name followed by the species name of an organism";
    String long_name "Species";
    String units "dimensionless";
  }
  family {
    String bcodmo_name "family";
    String description "Family. One of the levels in the taxonomic system of classification; typically ends in 'ae'.";
    String long_name "Family";
    String units "dimensionless";
  }
  phylum {
    String bcodmo_name "phylum";
    String description "phylum, organism taxonomic level";
    String long_name "Phylum";
    String units "dimensionless";
  }
  subphylum {
    String bcodmo_name "unknown";
    String description "One of the levels in the taxonomic system of classification";
    String long_name "Subphylum";
    String units "dimensionless";
  }
  class {
    String bcodmo_name "unknown";
    String description "One of the levels in the taxonomic system of classification";
    String long_name "Class";
    String units "dimensionless";
  }
  subclass {
    String bcodmo_name "unknown";
    String description "One of the levels in the taxonomic system of classification";
    String long_name "Subclass";
    String units "dimensionless";
  }
  order {
    String bcodmo_name "order";
    String description "order, organism taxonomic level";
    String long_name "Order";
    String units "dimensionless";
  }
  infraorder {
    String bcodmo_name "unknown";
    String description "One of the levels in the taxonomic system of classification";
    String long_name "Infraorder";
    String units "dimensionless";
  }
  stage {
    String bcodmo_name "stage";
    String description 
"organism life history:
AF, adult female
AM, adult male
AN, adult non-specified (??)
bracts, of siphonophore
C1, copepodite stage 1
C2, copepodite stage 2
C3, copepodite stage 3
C4, copepodite stage 4
C5, copepodite stage 5";
    String long_name "Stage";
    String units "dimensionless";
  }
  abundance {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 5991.45;
    String bcodmo_name "abundance";
    String description "number of the specific taxa/group counted per meter3";
    String long_name "Abundance";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "number per cubic meter";
  }
  biomass_g {
    Float64 _FillValue NaN;
    Float64 actual_range 3.26548e-7, 2.108695984;
    String bcodmo_name "biomass";
    String description "wet weight of a specific taxa/group identified";
    String long_name "Biomass G";
    String units "grams wet weight per cubic meter";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"GLOBEC 2000: Gulf of Alaska Long-Term Observation Program  
T. Weingartner, L. Haldorson, R. Hopcroft, K. Coyle, T. E. Whitledge (all at
University of Alaska, Fairbanks), T. Royer (Old Dominion University)
 
This project is to conduct the Gulf of Alaska Long-Term Observation Program
(GOA-LTOP) as part of Phase II of the Northeast Pacific (NEP) GLOBEC program.
The GOA shelf supports a rich ecosystem that includes many commercially
important fisheries. The basis for this productivity is enigmatic for the GOA
shelf is deep, forced by downwelling-favorable winds, and fed by a massive
nutrient-poor coastal freshwater discharge. Both the winds and the freshwater
discharge are intimately linked to the strength and position of the Aleutian
Low. The GOA ecosystem experiences substantial physical and biological changes
on decadal and interannual time scales. Although some of these changes are
correlated with various climatic indices a mechanistic understanding of
climate change and ecosystem response is unavailable. The generic goal of this
LTOP is to understand and quantify temporal (seasonal and interannual) and
spatial (cross- and along-shelf) variations in the thermohaline, chemical, and
biological properties and relationships of this shelf. Our proposal supports
GLOBEC goals that will help: 1) retrospective studies interpret historical
data, 2) design a cost-effective long-term monitoring program, 3) provide the
seasonal and interannual context for concurrent mesoscale and process studies,
and 4) provide boundary conditions and data sets for model evaluation. This
5-year project entails 4 field years and a fifth year for data analyses and
synthesis. The field effort involves seven, 9-day interdisciplinary
cruises/year in the northern GOA. The study area encompasses the 220-km long,
Seward Line (sampled in the 1970s) that extends across the shelf and slope and
high resolution sampling of the Alaska Coastal Current (ACC), upstream,
downstream, and within Prince William Sound. The ACC is an important shelf
habitat for yoy salmon migrating from nursery areas in the sound and into the
GOA. The sampling effort (Table A) is year-round and motivated by seasonally
significant physical and biological events affecting yoy pink salmon.
 
Table A. Sampling schedule and rationale for GOA-LTOP. (Key for Winds,
Discharge and Stratification: S=strong; M=moderate; W=weak; D=downwelling
winds; U=upwelling winds; V=variable; L=low; H=high) Deep water moves onshore
during the July-August upwelling period.
 Month | Sampling | Physical Rationale | Biological Rationale   
---|---|---|---  
CTD | Nutrients | Zoo | Fish | Winds | Disch | Strat   
March | X | X | X | \\u00a0 | D S | L | W | Zooplankton migrate from
depth (at shelfbreak); transported inshore.   
April | X | X | X | \\u00a0 | D M | L-M | W V | Phytoplankton bloom   
May | X | X | X | \\u00a0 | D M-W | M | M V | Maximum oceanic copepod
biomass.   
July | X | X | X | X | D/U W | M-H | S | Maximum zooplankton
abundance; YOY salmon enter shelf.   
August | X | X | X | X | D/U W | M-H | S | Maximum YOY salmon
abundance on shelf.   
October | X | X | X | X | D S | H | H | YOY salmon on shelf.   
December | X | X | X | \\u00a0 | D S | M | M | Fall-winter pre-
conditioning for spring nutrients, small zooplankton.   
The sampling protocol followed GLOBEC guidelines and used gear types and
techniques similar to those in the Oregon LTOP that was also a part of the
NEP-GLOBEC program. Most of the research was conducted from the R/V Alpha
Helix. Fish sampling was done from a chartered trawler in July, August, and
October. Both vessels worked together during these cruises so that the fishing
charter could verify fish targets detected on the acoustics array towed from
the Alpha Helix.";
    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 
"CalVET data, 1997 - 2004 
  zooplankton species abundance and biomass, updated July 2008 
  all data are for 149 micron CALVET tows, 25.4 cm ring diameter, vertical hauls. 
  PI: Ken Coyle";
    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 "2020-01-16T19:38:40Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.3009.1";
    Float64 Easternmost_Easting -144.0538;
    Float64 geospatial_lat_max 60.537;
    Float64 geospatial_lat_min 58.095;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -144.0538;
    Float64 geospatial_lon_min -149.4756;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-07-14T09:17:29Z (local files)
2020-07-14T09:17:29Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3009.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3009";
    String institution "BCO-DMO";
    String instruments_0_acronym "CalVet";
    String instruments_0_dataset_instrument_description "149 micron CALVET tows, 25.4 cm ring diameter, vertical haul";
    String instruments_0_dataset_instrument_nid "5179";
    String instruments_0_description "The California Cooperative Oceanic Fisheries Investigations (CalCOFI) Vertical Egg Tow device is a type of vertical net tow.  Note that mesh sizes may vary.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0016/";
    String instruments_0_instrument_name "CalVet";
    String instruments_0_instrument_nid "414";
    String instruments_0_supplied_name "CalVet";
    String keywords "abundance, array, array-data, bco, bco-dmo, biological, biomass, biomass_g, chemical, class, comprehensive, cruise, cruise_id, data, dataset, day, day_local, depth, depth_cast, depth_w, dmo, erddap, family, filt, infraorder, large, latitude, local, longitude, management, month, month_local, name, oceanography, office, order, phylum, preliminary, species, stage, station, station_name, stewardship, subclass, subphylum, system, time, time_local, vol, vol_filt, year, yrday, yrday_local";
    String license "https://www.bco-dmo.org/dataset/3009/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3009";
    Float64 Northernmost_Northing 60.537;
    String param_mapping "{'3009': {'lat': 'master - latitude', 'lon': 'master - longitude', 'depth_cast': 'flag - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3009/parameters";
    String people_0_affiliation "University of Alaska Fairbanks";
    String people_0_affiliation_acronym "UAF";
    String people_0_person_name "Seth L. Danielson";
    String people_0_person_nid "50470";
    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 "Oregon State University";
    String people_2_affiliation_acronym "OSU-CEOAS";
    String people_2_person_name "Hal Batchelder";
    String people_2_person_nid "50383";
    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 58.095;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "AK-LTOP CalVET Net Tow counts and biomass collected from multiple cruises from the Northeast Pacific, 1997-2001.";
    String title "AK-LTOP CalVET Net Tow counts and biomass collected from multiple cruises from the Northeast Pacific, 1997-2001 (NEP project)";
    String version "1";
    Float64 Westernmost_Easting -149.4756;
    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.


 
ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact