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Dataset Title:  Larval krill studies - fluorescence and clearance from ARSV Laurence M. Gould
LMG0106, LMG0205 in the Southern Ocean from 2001-2002 (SOGLOBEC project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3300)
Range: longitude = -75.8183 to -68.5033°E, latitude = -68.4817 to -65.08°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | 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 {
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "cruise identification";
    String long_name "Cruiseid";
    String units "text";
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2001, 2002;
    String bcodmo_name "year";
    String description "year of experiment in YYYY format";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  sample_id {
    String bcodmo_name "unknown";
    String description "sample identification: WBC=whole body clearance expt.; WBF=whole body fluorescence on collection";
    String long_name "Sample Id";
    String units "alpha-numeric";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -68.4817, -65.08;
    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 -75.8183, -68.5033;
    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";
  day_local {
    String bcodmo_name "day_local";
    String description "day of month, local time";
    String long_name "Day Local";
  month_local {
    String bcodmo_name "month_local";
    String description "month, local time";
    String long_name "Month Local";
  time_local {
    Int16 _FillValue 32767;
    Int16 actual_range 1015, 1653;
    String bcodmo_name "time_local";
    String description "time of day, local time, using 2400 clock format";
    String long_name "Time Local";
  yrday_local {
    Float32 _FillValue NaN;
    Float32 actual_range 218.4826, 252.6944;
    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";
  time_sample {
    Byte _FillValue 127;
    Byte actual_range 0, 90;
    String bcodmo_name "unknown";
    String description "time of sampling for pigment content after collection; decline of pigment content with time was used to calculate time to clear the gut of pigment.";
    String long_name "Time Sample";
    String units "minutes";
  pigment_content {
    Float32 _FillValue NaN;
    Float32 actual_range 0.04939, 16.615;
    String bcodmo_name "unknown";
    String description "pigment content";
    String long_name "Pigment Content";
    String units "micrograms total chl/grams wet weight";
  stage_id {
    Float32 _FillValue NaN;
    Float32 actual_range 3.01, 43.33;
    String bcodmo_name "unknown";
    String description "stage development index of larvae in sample (furcilia = F1-6 = 1-6,  juvenile = J=7)";
    String long_name "Stage Id";
  wet_weight {
    Float32 _FillValue NaN;
    Float32 actual_range 1.725, 36.505;
    String bcodmo_name "unknown";
    String description "average wet weight/larvae in sample";
    String long_name "Wet Weight";
    String units "mg";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Using SCUBA techniques allowed us to collect larval krill as close as possible
to their in situ condition. Larval krill were collected for time-based
experimentation at the dive hole, for shipboard experiments and preserved for
later analysis. Samples of the micro-zooplankton community were sampled with
suction samplers to gain a better understanding of food available to the
larvae relative to their distribution under the ice. In addition, at one of
the process stations we were able to deploy drift nets through the dive holes
to compare day/night differences in the zooplankton community at depths of 1 m
and 10 m below the ice-water interface. [(from cruise report
    String awards_0_award_nid "55102";
    String awards_0_award_number "ANT-9909933";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9909933";
    String awards_0_funder_name "NSF Antarctic Sciences";
    String awards_0_funding_acronym "NSF ANT";
    String awards_0_funding_source_nid "369";
    String awards_0_program_manager "Dr Roberta Marinelli";
    String awards_0_program_manager_nid "51469";
    String cdm_data_type "Other";
    String comment 
"Southern Ocean GLOBEC II 
  LMG0106 & LMG0205 
  Ross & Quetin (UCSB) 
  larval krill whole body fluorescence";
    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 "2018-12-07T21:03:28Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3300.1";
    Float64 Easternmost_Easting -68.5033;
    Float64 geospatial_lat_max -65.08;
    Float64 geospatial_lat_min -68.4817;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -68.5033;
    Float64 geospatial_lon_min -75.8183;
    String geospatial_lon_units "degrees_east";
    String history 
"2023-06-09T11:09:59Z (local files)
2023-06-09T11:09:59Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3300.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3300";
    String institution "BCO-DMO";
    String instruments_0_acronym "Hand-net";
    String instruments_0_dataset_instrument_nid "5122";
    String instruments_0_description "A Hand-held plankton net is a fine-meshed net designed for sampling microzooplankton, mesozooplankton or nekton.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/22/";
    String instruments_0_instrument_name "Hand-held plankton net";
    String instruments_0_instrument_nid "554";
    String instruments_0_supplied_name "Hand-net";
    String instruments_1_acronym "Manual Biota Sampler";
    String instruments_1_dataset_instrument_nid "5123";
    String instruments_1_description "Manual Biota Sampler indicates that a sample was collected in situ by a person, possibly using a hand-held collection device such as a jar, a net or their hands.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/90/";
    String instruments_1_instrument_name "Manual Biota Sampler";
    String instruments_1_instrument_nid "565";
    String instruments_1_supplied_name "SCUBA";
    String keywords "bco, bco-dmo, biological, chemical, content, cruiseid, data, dataset, day, day_local, dmo, erddap, latitude, local, longitude, management, month, month_local, oceanography, office, pigment, pigment_content, preliminary, sample, sample_id, stage, stage_id, time, time_local, time_sample, weight, wet, wet_weight, year, yrday, yrday_local";
    String license "https://www.bco-dmo.org/dataset/3300/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3300";
    Float64 Northernmost_Northing -65.08;
    String param_mapping "{'3300': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3300/parameters";
    String people_0_affiliation "University of California-Santa Barbara";
    String people_0_affiliation_acronym "UCSB";
    String people_0_person_name "Dr Langdon Quetin";
    String people_0_person_nid "51159";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of California-Santa Barbara";
    String people_1_affiliation_acronym "UCSB";
    String people_1_person_name "Dr Robin Ross";
    String people_1_person_nid "51160";
    String people_1_role "Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of California-Santa Barbara";
    String people_2_affiliation_acronym "UCSB";
    String people_2_person_name "Dr Robin Ross";
    String people_2_person_nid "51160";
    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 "SOGLOBEC";
    String projects_0_acronym "SOGLOBEC";
    String projects_0_description "The fundamental objectives of United States Global Ocean Ecosystems Dynamics (U.S. GLOBEC) Program are dependent upon the cooperation of scientists from several disciplines. Physicists, biologists, and chemists must make use of data collected during U.S. GLOBEC field programs to further our understanding of the interplay of physics, biology, and chemistry. Our objectives require quantitative analysis of interdisciplinary data sets and, therefore, data must be exchanged between researchers. To extract the full scientific value, data must be made available to the scientific community on a timely basis.";
    String projects_0_geolocation "Southern Ocean";
    String projects_0_name "U.S. GLOBEC Southern Ocean";
    String projects_0_project_nid "2039";
    String projects_0_project_website "http://www.ccpo.odu.edu/Research/globec_menu.html";
    String projects_0_start_date "2001-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -68.4817;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "The goal of the larval krill studies was to investigate the physiology and ecology of krill larvae associated with the pack ice and the microbial community on which they feed.\\r\\n\\r\\nDuring LMG0106 we occupied two 4-5 day ice stations (Robert and Billy) and sampled several other ice floes opportunistically. We conducted 10 instantaneous growth rate experiments, and 4 whole body clearance time experiments to determine gut passage time (decline in pigment content over time). We also sampled larvae at two additional sites for initial body pigment content (whole body fluorescence), and at 4 sites for condition factor. The under-ice algal community was sampled at one site. Length and stage frequency determinations were also determined.\\r\\n\\r\\nWe occupied three time-series stations of approximately 1 week each, and in addition opportunistically sampled at times when other activities had priority. Our primary goal during the cruise was to occupy three ice camps or process stations with the intent of thoroughly studying the under-ice environment by SCUBA in conjunction with other projects working topside. (from cruise report LMG0205)";
    String title "Larval krill studies - fluorescence and clearance from ARSV Laurence M. Gould LMG0106, LMG0205 in the Southern Ocean from 2001-2002 (SOGLOBEC project)";
    String version "1";
    Float64 Westernmost_Easting -75.8183;
    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.

ERDDAP, Version 2.02
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