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Dataset Title:  Abundance, size, fecundity of Salpa aspera in the Slope Waters off
northeastern USA from R/V Oceanus OC379, OC381 in the slope waters off NJ, DE,
MD from June-Sept. 2002 (SalpSwarmDyn project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3146)
Range: longitude = -74.733376 to -67.994896°E, latitude = 36.802395 to 40.60553°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form | Files
 
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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 {
  cruise_id {
    String bcodmo_name "cruise_id";
    String description "cruise designation";
    String long_name "Cruise Id";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2002, 2002;
    String bcodmo_name "year";
    String description "year, reported as YYYY, e.g. 2005";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
  }
  haul_id {
    Byte _FillValue 127;
    Byte actual_range 1, 75;
    String bcodmo_name "haul identification";
    String description "haul identification number";
    String long_name "Haul Id";
  }
  date_local {
    String bcodmo_name "date_local";
    String description "local month, day and year, usually as a text string, e.g. feb10_1995.";
    String long_name "Date Local";
    String source_name "date_local";
    String time_precision "1970-01-01";
  }
  time_local {
    String bcodmo_name "time_local";
    String description "time of day, local time, using 2400 clock format";
    String long_name "Time Local";
  }
  day_local {
    String bcodmo_name "day_local";
    String description "day, local time";
    String long_name "Day Local";
  }
  month_local {
    String bcodmo_name "month_local";
    String description "month of year, local time";
    String long_name "Month Local";
  }
  yrday_local {
    Int16 _FillValue 32767;
    Int16 actual_range 154, 269;
    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";
    String long_name "Yrday Local";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 36.802395, 40.60553;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, in decimal degrees, North is positive, negative denotes 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 -74.733377, -67.994893;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, in decimal degrees, East is positive, negative denotes 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";
  }
  volfilt {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 324;
    String bcodmo_name "vol_filt";
    String description "volume of water filtered during plankton tow";
    String long_name "Volfilt";
    String units "meters^3";
  }
  dvol_liters {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 7.0;
    String bcodmo_name "disp_vol";
    String description "displacement volume (biovolume) of plankton net samples";
    String long_name "Dvol Liters";
    String units "liters";
  }
  biovol_per_aliq {
    Int16 _FillValue 32767;
    Int16 actual_range 140, 250;
    String bcodmo_name "biovolume";
    String description "the aliquot, ml of the total that was enumerated.  Beginning with Tow 7 (OC-379), all aliquots were 250 ml .  If the total was less than that, the entire sample was counted.";
    String long_name "Biovol Per Aliq";
    String units "milliliters";
  }
  form {
    String bcodmo_name "unknown";
    String description "the morphological stage of the salp, either aggregate (agg) or solitary (sol)";
    String long_name "Form";
  }
  length {
    Byte _FillValue 127;
    Byte actual_range 2, 90;
    String bcodmo_name "length";
    String description "The sizes for the aggregates are for individual animals in the chains. Chains were broken up during collection. Measurements of the aggregates do not include the \"tips\" but are for oral-aboral length only. The solitary forms are basically cylindrical so the length measurements are for the totals.";
    String long_name "Length";
    String units "millimeters (?)";
  }
  fertilized_flag {
    String bcodmo_name "unknown";
    String description "for colonial stage only: Y=embryos present; N=none seen";
    String long_name "Fertilized Flag";
  }
  fraction_chain_inside {
    String bcodmo_name "unknown";
    String description "the fraction of the embryo that is still inside the solitary adult after capture in the net.";
    String long_name "Fraction Chain Inside";
  }
  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 
"Bongo tows were made to a depth of about 50m (based on wire out and wire
angle). As the tows were done at night, that includes essentially the entire
population of these vertically migrating salps. Information on the depth
distribution of the species is included in: Madin et al. (2006)
[(pdf)](\\\\\"http://bcodata.whoi.edu/SalpSwarmDyn/Madinetal2006DSR.pdf\\\\\")";
    String awards_0_award_nid "54765";
    String awards_0_award_number "OCE-0002540";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0002540";
    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 cdm_data_type "Other";
    String comment 
"Numbers of Salpa aspera in the top 50 m at night, and fecundity info. 
  PI: Patricia Kremer (Univ. Conn.)";
    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 "2010-06-16T20:40:40Z";
    String date_modified "2020-01-22T18:22:29Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3146.1";
    Float64 Easternmost_Easting -67.994893;
    Float64 geospatial_lat_max 40.60553;
    Float64 geospatial_lat_min 36.802395;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -67.994893;
    Float64 geospatial_lon_min -74.733377;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-03-29T08:00:33Z (local files)
2024-03-29T08:00:33Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3146.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3146";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD";
    String instruments_0_dataset_instrument_nid "4887";
    String instruments_0_description "The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column.  The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or  radiometers.  It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.  This instrument designation is used when specific make and model are not known.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_0_instrument_name "CTD profiler";
    String instruments_0_instrument_nid "417";
    String instruments_0_supplied_name "Conductivity, Temperature, Depth";
    String instruments_1_acronym "Fluorometer";
    String instruments_1_dataset_instrument_nid "4888";
    String instruments_1_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_1_instrument_name "Fluorometer";
    String instruments_1_instrument_nid "484";
    String instruments_1_supplied_name "Fluorometer";
    String keywords "aliq, bco, bco-dmo, biological, biovol, biovol_per_aliq, chain, chemical, comments, cruise, cruise_id, data, dataset, date, day, day_local, dmo, dvol, dvol_liters, erddap, fertilized, fertilized_flag, flag, form, fraction, fraction_chain_inside, haul, haul_id, inside, latitude, length, liters, local, longitude, management, month, month_local, oceanography, office, per, preliminary, time, time_local, volfilt, year, yrday, yrday_local";
    String license "https://www.bco-dmo.org/dataset/3146/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3146";
    Float64 Northernmost_Northing 40.60553;
    String param_mapping "{'3146': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3146/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Dr Laurence P. Madin";
    String people_0_person_nid "50426";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Connecticut";
    String people_1_affiliation_acronym "UConn";
    String people_1_person_name "Dr Patricia Kremer";
    String people_1_person_nid "50949";
    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 "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "SalpSwarmDyn";
    String projects_0_acronym "SalpSwarmDyn";
    String projects_0_description "Salps are holoplanktonic grazers that have a life history, feeding biology and population dynamic strikingly different from copepods or other crustacean zooplankton. They can occur in very dense populations that cover large areas, and these blooms have been shown to have major impacts due to grazing and production of fast?sinking fecal pellets. However the conditions supporting bloom formation, and the energetics, reproduction and behavior of the bloom?forming salps are still poorly understood. This study will focus on two species of salps that are global in their distribution and representative of two genera that commonly form large blooms. Salpa aspera regularly occurs during the summer in high concentrations in the slope waters of the Mid?Atlantic Bight, while Thalia democratica regularly forms dense populations during the winter spring in the Georgia Bight. The investigators will examine feeding, metabolism, growth, reproduction and population dynamics of these salps. They will use two independent modeling approaches, grounded in experimental and field data, to extend their observations to other time and space scales. interpret ouexperimental and modeling results will be interpreted within the context of the environmental conditions to which the salps are exposed. This integrated approach will provide the best basis for understanding how salp blooms form and persist. Results of this study will extend to other species that occur in high densities in many locations, allowing scientists to better evaluate the importance of salps in biogeochemical cycles and in structuring the pelagic environment.";
    String projects_0_end_date "2002-09";
    String projects_0_geolocation "slope water off mid-Atlantic Bight";
    String projects_0_name "Salp Swarm Dynamics";
    String projects_0_project_nid "2075";
    String projects_0_start_date "2002-06";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 36.802395;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "year";
    String summary "Abundance, size, fecundity of Salpa aspera in the Slope Waters off northeastern USA from R/V Oceanus OC379, OC381 in the slope waters off NJ, DE, MD from June-Sept. 2002.";
    String title "Abundance, size, fecundity of Salpa aspera in the Slope Waters off northeastern USA from R/V Oceanus OC379, OC381 in the slope waters off NJ, DE, MD from June-Sept. 2002 (SalpSwarmDyn project)";
    String version "1";
    Float64 Westernmost_Easting -74.733377;
    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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