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Dataset Title:  CTD data from McMurdo Sound, Antarctica from 2012 to 2015 (McMurdo Predator
Prey project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_680929)
Range: longitude = 165.06117 to 166.3047°E, latitude = -77.70342 to -77.55077°N, depth = 1.0 to 172.0m, time = 2012-11-21T22:36:28Z to 2015-01-06T08:52:02Z
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 {
  austral_year {
    String description "Austral season sampled";
    String ioos_category "Time";
    String long_name "Austral Year";
    String units "unitless";
  }
  station {
    String description "Sampling station identifier";
    String ioos_category "Identifier";
    String long_name "Station";
    String units "unitless";
  }
  cast {
    Byte _FillValue 127;
    Byte actual_range 1, 87;
    String description "CTD cast identifier";
    String ioos_category "Unknown";
    String long_name "Cast";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -77.70342, -77.55077;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of sample; north is positive";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range 165.06118, 166.3047;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of sample; west is negative";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 172.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth of sample. �Originally named \"depSM.\"";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.353537388e+9, 1.420534322e+9;
    String axis "T";
    String description "ISO timestamp based on the ISO 8601:2004(E) standard in format YYYY-mm-ddTHH:MM:SS[.xx]Z (UTC)";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  date_local {
    String description "Local date in format yyyy-mm-dd";
    String ioos_category "Time";
    String long_name "Date Local";
    String units "unitless";
  }
  time_local {
    String description "Local time in format hh:mm:ss";
    String ioos_category "Time";
    String long_name "Time Local";
    String units "unitless";
  }
  time_zone_offset {
    Byte _FillValue 127;
    Byte actual_range 12, 12;
    String description "Time offset in hours from UTC to local time at McMurdo Station.";
    String ioos_category "Time";
    String long_name "Time Zone Offset";
    String units "unitless";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range -2.1361, 0.5857;
    String description "Temperature (ITS-90). �Originally named \"tv290C.\"";
    String ioos_category "Temperature";
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  potemp {
    Float32 _FillValue NaN;
    Float32 actual_range -2.1361, 0.5857;
    String description "Primary potential temperature (ITS-90). Originally named \"potemp090C.\"";
    String ioos_category "Unknown";
    String long_name "Potemp";
    String units "degrees Celsius";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 18.2191, 36.2461;
    String description "Salinity. Originally named \"sal00.\"";
    String ioos_category "Unknown";
    String long_name "Sal";
    String units "practical salinity unit (PSU)";
  }
  cond_S_m {
    Float32 _FillValue NaN;
    Float32 actual_range 1.506741, 2.885448;
    String description "Conductivity. �Originally named \"c0S/m.\"";
    String ioos_category "Unknown";
    String long_name "Cond S M";
    String units "Siemens per meter (S/m)";
  }
  cond_mS_cm {
    Float64 _FillValue NaN;
    Float64 actual_range 15.067408, 28.85448;
    String description "Conductivity. Originally named \"c0mS/cm.\"";
    String ioos_category "Unknown";
    String long_name "Cond M S Cm";
    String units "millisiemens per centimeter (mS/cm)";
  }
  density {
    Float64 _FillValue NaN;
    Float64 actual_range 1014.5722, 1029.2101;
    String description "Density. Originally named \"density00.\"";
    String ioos_category "Physical Oceanography";
    String long_name "Density";
    String units "kilograms per meter cubed (kg/m^3)";
  }
  sigma_theta {
    Float32 _FillValue NaN;
    Float32 actual_range 14.5471, 29.1937;
    String description "Sigma-theta density. Originally named \"sigma_e00.\"";
    String ioos_category "Physical Oceanography";
    String long_name "Sea Water Sigma Theta";
    String units "kilograms per meters cubed";
  }
  sigma_t {
    Float32 _FillValue NaN;
    Float32 actual_range 14.5471, 29.1937;
    String description "Sigma-t density. Originally named \"sigma_t00.\"";
    String ioos_category "Unknown";
    String long_name "Sigma T";
    String units "kilograms per meters cubed";
  }
  press {
    Float32 _FillValue NaN;
    Float32 actual_range 1.005, 173.023;
    String description "Pressure (Strain Gauge). Originally named \"prdM.\"";
    String ioos_category "Unknown";
    String long_name "Press";
    String units "decibars (db)";
  }
  O2_mL_L {
    Float32 _FillValue NaN;
    Float32 actual_range -32.0524, 51.5771;
    String description "Dissolved oxygen. Originally named \"sbeox0ML/L.\"";
    String ioos_category "Dissolved O2";
    String long_name "O2 M L L";
    String units "milliliters per liter (ml/l)";
  }
  O2_mg_L {
    Float32 _FillValue NaN;
    Float32 actual_range -45.8061, 73.7088;
    String description "Dissolved oxygen. Originally named \"sbeox0Mg/L.\"";
    String ioos_category "Dissolved O2";
    String long_name "O2 Mg L";
    String units "milligrams per liter (mg/l)";
  }
  O2_umol_kg {
    Float32 _FillValue NaN;
    Float32 actual_range -1410.319, 2265.941;
    String description "Dissolved oxygen. Originally named \"sbeox0Mm/Kg.\"";
    String ioos_category "Dissolved O2";
    String long_name "O2 Umol Kg";
    String units "micromoles per kilogram (umol/kg)";
  }
  O2_sat {
    Float64 _FillValue NaN;
    Float64 actual_range -338.649, 551.856;
    String description "Oxygen saturation. Originally named \"sbeox0PS.\"";
    String ioos_category "Dissolved O2";
    String long_name "O2 Sat";
    String units "percent";
  }
  fluor {
    Float32 _FillValue NaN;
    Float32 actual_range -0.0354, 43.6381;
    String description "Fluorescence (from WET Labs ECO-AFL/FL). Originally named \"flECO-AFL.\"";
    String ioos_category "Optical Properties";
    String long_name "Fluor";
    String units "milligrams per meter cubed (mg/m^3)";
  }
  pH {
    Float32 _FillValue NaN;
    Float32 actual_range 0.147, 8.526;
    Float64 colorBarMaximum 9.0;
    Float64 colorBarMinimum 7.0;
    String description "pH. Originally named \"ph.\"";
    String ioos_category "Salinity";
    String long_name "Sea Water Ph Reported On Total Scale";
    String units "pH units";
  }
  sound_vel_CM {
    Float32 _FillValue NaN;
    Float32 actual_range 1417.43, 1451.04;
    String description "Sound velocity. Calculated using Chen and Millero (1977) formula. Originally named \"svCM.\"";
    String ioos_category "Currents";
    String long_name "Sound Vel CM";
    String units "meters per second";
  }
  sound_vel_DM {
    Float32 _FillValue NaN;
    Float32 actual_range 1417.37, 1450.96;
    String description "Sound velocity. Calculated using Del Grosso (1974) formula.�Originally named \"svDM.\"";
    String ioos_category "Currents";
    String long_name "Sound Vel DM";
    String units "meters per second";
  }
  sound_vel_WM {
    Float32 _FillValue NaN;
    Float32 actual_range 1417.11, 1451.16;
    String description "Sound velocity. Calculated using Wilson (1960) formula.��Originally named \"svWM.\"";
    String ioos_category "Currents";
    String long_name "Sound Vel WM";
    String units "meters per second";
  }
  avg_sound_vel_CM {
    Float32 _FillValue NaN;
    Float32 actual_range 1413.66, 1483.46;
    String description "Average sound velocity. Calculated using Chen and Millero (1977) formula. Originally named \"avgsvCM.\"";
    String ioos_category "Currents";
    String long_name "Avg Sound Vel CM";
    String units "meters per second";
  }
  avg_sound_vel_DM {
    Float32 _FillValue NaN;
    Float32 actual_range 1413.59, 1483.36;
    String description "Average sound velocity. Calculated using Del Grosso (1974) formula. Originally named \"avgsvDM.\"";
    String ioos_category "Currents";
    String long_name "Avg Sound Vel DM";
    String units "meters per second";
  }
  avg_sound_vel_WM {
    Float32 _FillValue NaN;
    Float32 actual_range 1413.33, 1483.51;
    String description "Average sound velocity. Calculated using Wilson (1960) formula. Originally named \"avgsvWM.\"";
    String ioos_category "Currents";
    String long_name "Avg Sound Vel WM";
    String units "meters per second";
  }
  flag {
    Byte _FillValue 127;
    Byte actual_range 0, 0;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Quality flag";
    String ioos_category "Quality";
    String long_name "Flag";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"A small hole was drilled in the McMurdo Sound fast ice. The CTD was deployed
below the fast ice to ~ 2 m depth. The CTD was then powered on and allowed to
sit a few minutes until the pumps turned on and sensors stabilized and
equilibrated. The CTD was then lowered using a hand winch to depths between 97
and 175 m.";
    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 
"CTD stations 
  PIs: Kendra Daly and Stacy Kim 
   data version: 04 May 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 2.2d  13 Jun 2019";
    String date_created "2017-02-02T20:46:20Z";
    String date_modified "2017-05-11T17:34:38Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.699896";
    Float64 Easternmost_Easting 166.3047;
    Float64 geospatial_lat_max -77.55077;
    Float64 geospatial_lat_min -77.70342;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 166.3047;
    Float64 geospatial_lon_min 165.06118;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 172.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2019-08-24T14:29:24Z (local files)
2019-08-24T14:29:24Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_680929.das";
    String infoUrl "https://www.bco-dmo.org/dataset/680929";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_nid "680933";
    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 "SBE-43 DO";
    String instruments_1_dataset_instrument_nid "680937";
    String instruments_1_description "The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0036/";
    String instruments_1_instrument_name "Sea-Bird SBE 43 Dissolved Oxygen Sensor";
    String instruments_1_instrument_nid "552";
    String instruments_2_acronym "ECO AFL/FL";
    String instruments_2_dataset_instrument_nid "681353";
    String instruments_2_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_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0172/";
    String instruments_2_instrument_name "Wet Labs ECO-AFL/FL Fluorometer";
    String instruments_2_instrument_nid "592";
    String instruments_3_acronym "pH Sensor";
    String instruments_3_dataset_instrument_nid "680938";
    String instruments_3_description "General term for an instrument that measures the pH or how acidic or basic a solution is.";
    String instruments_3_instrument_name "pH Sensor";
    String instruments_3_instrument_nid "674";
    String instruments_3_supplied_name "Sea-Bird SBE-27 pH sensor";
    String instruments_4_acronym "Sea-Bird SEACAT 19 Plus";
    String instruments_4_dataset_instrument_nid "680936";
    String instruments_4_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_4_instrument_name "CTD Sea-Bird SBE SEACAT 19plus";
    String instruments_4_instrument_nid "616065";
    String instruments_4_supplied_name "Seabird SBE 19 Plus";
    String keywords "altimetry, austral, austral_year, average, avg_sound_vel_CM, avg_sound_vel_DM, avg_sound_vel_WM, bco, bco-dmo, biological, cast, chemical, chemistry, cond, cond_mS_cm, cond_S_m, currents, data, dataset, date, date_local, density, depth, dissolved, dissolved o2, dmo, earth, Earth Science > Oceans > Ocean Chemistry > pH, Earth Science > Oceans > Salinity/Density > Density, erddap, flag, fluor, identifier, iso, laboratory, latitude, local, longitude, management, O2, O2_mg_L, O2_mL_L, O2_sat, O2_umol_kg, ocean, oceanography, oceans, office, offset, optical, optical properties, oxygen, physical, physical oceanography, potemp, preliminary, press, properties, quality, reported, sal, salinity, sat, satellite, scale, science, sea, sea_water_ph_reported_on_total_scale, sea_water_sigma_theta, seawater, sigma, sigma_t, sigma_theta, sound, sound_vel_CM, sound_vel_DM, sound_vel_WM, station, temperature, theta, time, time_local, time_zone_offset, total, umol, vel, water, year, zone";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String metadata_source "https://www.bco-dmo.org/api/dataset/680929";
    Float64 Northernmost_Northing -77.55077;
    String param_mapping "{'680929': {'lat': 'master - latitude', 'depth': 'master - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/680929/parameters";
    String people_0_affiliation "University of South Florida";
    String people_0_affiliation_acronym "USF";
    String people_0_person_name "Dr 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 "Dr 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 "Food web dynamics in an intact ecosystem: the role of top predators in McMurdo Sound";
    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, Ad�lie and Emperor penguins, and Antarctic toothfish. This project focuses on food web interactions of Ad�lie 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 "Amber York";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -77.70342;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "time_zone_offset, flag";
    String summary 
"This dataset includes temperature, salinity, conductivity, oxygen, depth,
sound velocity, chlorophyll fluorescence, and pH measurements from McMurdo
Sound, Antarctica. \\u00a0Data were collected by CTD, fluorescence, and pH
sensors during austral years 2012/2013 and 2014/2015";
    String time_coverage_end "2015-01-06T08:52:02Z";
    String time_coverage_start "2012-11-21T22:36:28Z";
    String title "CTD data from McMurdo Sound, Antarctica from 2012 to 2015  (McMurdo Predator Prey project)";
    String version "1";
    Float64 Westernmost_Easting 165.06118;
    String xml_source "osprey2erddap.update_xml() v1.5-beta";
  }
}

 

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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