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Dataset Title:  Chlorophyll data from McMurdo Sound, Antarctica from 2012 to 2015 (McMurdo
Predator Prey project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_679685)
Range: longitude = 165.0612 to 166.3047°E, latitude = -77.7034 to -77.5508°N, depth = 0.0 to 150.0m
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
Graph Type:  ?
X Axis: 
Y Axis: 
Constraints ? Optional
Constraint #1 ?
Constraint #2 ?
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.")
Graph Settings
Marker Type:   Size: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
(Please be patient. It may take a while to get the data.)
Then set the File Type: (File Type information)
or view the URL:
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    Click on the map to specify a new center point. ?
[The graph you specified. Please be patient.]


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 {
  station {
    String bcodmo_name "station";
    String description "CTD station name where niskin bottle sample acquired";
    String long_name "Station";
    String units "unitless";
  date {
    String bcodmo_name "date";
    String description "Date in format yyyy-mm-dd in local time (UTC+12)";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date";
    String time_precision "1970-01-01";
    String units "unitless";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -77.7034, -77.5508;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of CTD cast; 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 165.0612, 166.3047;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of CTD cast; west is negative";
    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 {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 150.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth of sample";
    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";
  chl {
    Float32 _FillValue NaN;
    Float32 actual_range 0.212, 121.113;
    String bcodmo_name "chlorophyll a";
    String description "Chlorophyll a";
    String long_name "CHL";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "micrograms per liter (ug/L)";
  phaeo {
    Float32 _FillValue NaN;
    Float32 actual_range -6.942, 3.897;
    String bcodmo_name "phaeopigment";
    String description "Phaeopigments";
    String long_name "Phaeo";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHAEFMP1/";
    String units "micrograms per liter (ug/L)";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Small holes were drilled through the McMurdo Sound fast ice. A Niskin Bottle
was deployed below the fast ice and water was collected just below the ice-
water interface and at a pre-determined depth (Chlorophyll maximum) as
determined by a fluorescence sensor on a CTD. Water samples from the Niskin
bottles were collected in 4 L amber Nalgene bottles and then immediately
stored in a dark cooler. Gloves were worn for sample collection and bottles
and caps were rinsed three times before sample collection. The sample bottles
were immediately processed as soon as they returned from the field. The
collection bottle was gently swirled and 50 to 2000 mL were filtered under low
vacuum onto a 25 mm GF/F filter. Filters were immediately placed in 13 mm
borosilicate test tubes containing 7 mL 90% v/v HPLC grade acetone and
extracted in the dark for 24 h at -20 degrees C. After extraction,
fluorescence was measured with a Turner Designs 10 AU fluorometer before and
after acidification. The fluorometer was calibrated at McMurdo Station at the
beginning of the field season using Chlorophyll a standards from Sigma-Aldrich
and rechecked using a solid standard from Turner Designs several times during
the field season. Chlorophyll a was determined using the methods of Parsons et
al. (1984).
 Parsons, T.R., Maita, Y., Lalli, C.M., 1984. A Manual of Chemical and
Biological\\u00a0Methods for Seawater Analysis. Pergamon Press, New York, pp.
    String awards_0_award_nid "665135";
    String awards_0_award_number "PLR-0944511";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0944511";
    String awards_0_funder_name "NSF Division of Polar Programs";
    String awards_0_funding_acronym "NSF PLR";
    String awards_0_funding_source_nid "490497";
    String awards_0_program_manager "Dr Chris H. Fritsen";
    String awards_0_program_manager_nid "50502";
    String cdm_data_type "Other";
    String comment 
"Chlorophyll data for McMurdo Sound 
  PIs: Kendra Daly and Stacy Kim 
    data version 08 Feb 2017";
    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 "2017-01-31T19:28:40Z";
    String date_modified "2017-05-11T17:34:13Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.699891";
    Float64 Easternmost_Easting 166.3047;
    Float64 geospatial_lat_max -77.5508;
    Float64 geospatial_lat_min -77.7034;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 166.3047;
    Float64 geospatial_lon_min 165.0612;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 150.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-07-12T17:50:15Z (local files)
2024-07-12T17:50:15Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_679685.das";
    String infoUrl "https://www.bco-dmo.org/dataset/679685";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_nid "679690";
    String instruments_0_description "A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends.  The bottles can be attached individually on a hydrowire or deployed in 12, 24 or 36 bottle Rosette systems mounted on a frame and combined with a CTD.  Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/";
    String instruments_0_instrument_name "Niskin bottle";
    String instruments_0_instrument_nid "413";
    String instruments_1_acronym "ECO AFL/FL";
    String instruments_1_dataset_instrument_nid "681352";
    String instruments_1_description 
"The Environmental Characterization Optics (ECO) series of single channel fluorometers delivers both high resolution and wide ranges across the entire line of parameters using 14 bit digital processing. The ECO series excels in biological monitoring and dye trace studies. The potted optics block results in long term stability of the instrument and the optional anti-biofouling technology delivers truly long term field measurements.
 more information from Wet Labs";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0172/";
    String instruments_1_instrument_name "Wet Labs ECO-AFL/FL Fluorometer";
    String instruments_1_instrument_nid "592";
    String instruments_1_supplied_name "WET Labs ECO-AFL/FL";
    String instruments_2_acronym "Sea-Bird SEACAT 19 Plus";
    String instruments_2_dataset_instrument_nid "681351";
    String instruments_2_description "Self contained self powered CTD profiler. Measures conductivity, temperature and pressure in both profiling (samples at 4 scans/sec) and moored (sample rates of once every 5 seconds to once every 9 hours) mode. Available in plastic or titanium housing with depth ranges of 600m and 7000m respectively. Minature submersible pump provides water to conductivity cell.";
    String instruments_2_instrument_name "CTD Sea-Bird SBE SEACAT 19plus";
    String instruments_2_instrument_nid "616065";
    String keywords "bco, bco-dmo, biological, chemical, chl, chlorophyll, data, dataset, date, depth, dmo, erddap, latitude, longitude, management, oceanography, office, phaeo, preliminary, station, time";
    String license "https://www.bco-dmo.org/dataset/679685/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/679685";
    Float64 Northernmost_Northing -77.5508;
    String param_mapping "{'679685': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/679685/parameters";
    String people_0_affiliation "University of South Florida";
    String people_0_affiliation_acronym "USF";
    String people_0_person_name "Kendra L. Daly";
    String people_0_person_nid "50505";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "H.T. Harvey & Associates";
    String people_1_person_name "Dr David  G. Ainley";
    String people_1_person_nid "50491";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Point Blue Conservation Science";
    String people_2_person_name "Dr Grant Ballard";
    String people_2_person_nid "566872";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Moss Landing Marine Laboratories";
    String people_3_affiliation_acronym "MLML";
    String people_3_person_name "Dr Stacy Kim";
    String people_3_person_nid "51714";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "University of South Florida";
    String people_4_affiliation_acronym "USF";
    String people_4_person_name "Kendra L. Daly";
    String people_4_person_nid "50505";
    String people_4_role "Contact";
    String people_4_role_type "related";
    String people_5_affiliation "Woods Hole Oceanographic Institution";
    String people_5_affiliation_acronym "WHOI BCO-DMO";
    String people_5_person_name "Amber York";
    String people_5_person_nid "643627";
    String people_5_role "BCO-DMO Data Manager";
    String people_5_role_type "related";
    String project "McMurdo Predator Prey";
    String projects_0_acronym "McMurdo Predator Prey";
    String projects_0_description 
"Extracted from the NSF award abstract:
The research project investigates the importance of top down forcing on pelagic food webs. The relatively pristine Ross Sea includes large populations of upper-level predators such as minke and killer whales, Adélie and Emperor penguins, and Antarctic toothfish. This project focuses on food web interactions of Adélie penguins, minke whales, and the fish-eating Ross Sea killer whales, all of which exert foraging pressure on their main prey, crystal krill (Euphausia cyrstallorophias) and silver fish (Pleuragramma antarcticum) in McMurdo Sound.
The investigators used a video- and acoustic-capable ROV, and standard biological and environmental sensors to quantify the abundance and distribution of phytoplankton, sea ice biota, prey, and relevant habitat data.  The sampling area included 37 stations across an 30 x 15 km section of McMurdo Sound, stratified by distance from the ice edge as a proxy for air-breathing predator access. This study will be among the first to assess top-down forcing in the Ross Sea ecosystem and will form the basis for multidisciplinary studies in the future.
Map sampling stations";
    String projects_0_end_date "2016-11";
    String projects_0_geolocation "McMurdo Sound, Antarctica";
    String projects_0_name "Food web dynamics in an intact ecosystem: the role of top predators in McMurdo Sound";
    String projects_0_project_nid "665131";
    String projects_0_project_website "https://scini-penguin.mlml.calstate.edu/pauls-wordpress-test-site/";
    String projects_0_start_date "2011-06";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -77.7034;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary 
"This dataset includes chlorophyll, phaeopigments, depth, lat, lon, and station
from McMurdo Sound, Antarctica collected between the austral years 2012/2013
and 2014/2015.";
    String title "Chlorophyll data from McMurdo Sound, Antarctica from 2012 to 2015 (McMurdo Predator Prey project)";
    String version "1";
    Float64 Westernmost_Easting 165.0612;
    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.

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