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Dataset Title:  Sea ice parameters near McMurdo Station, Antarctica from 1986 to 2013 Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_675187)
Range: longitude = 166.4686 to 166.4686°E, latitude = -77.8539 to -77.8539°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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -77.8539, -77.8539;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Approximate latitude of sampling near McMurdo Station; Antarctica; south is negative";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "lat_approx";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range 166.4686, 166.4686;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Approximate longitude of sampling near McMurdo Station; Antarctica; west is negative";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "lon_approx";
    String standard_name "longitude";
    String units "degrees_east";
  }
  date {
    String bcodmo_name "date";
    String description "sampling date in format yyyy-mm-dd";
    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";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1986, 2013;
    String bcodmo_name "year";
    String description "sampling year";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  month {
    String bcodmo_name "month";
    String description "sampling month";
    String long_name "Month";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "unitless";
  }
  day {
    String bcodmo_name "day";
    String description "sampling day";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "unitless";
  }
  ice_thickness_median {
    Int16 _FillValue 32767;
    Int16 actual_range 140, 533;
    String bcodmo_name "ice_thickness";
    String description "median ice thickness";
    String long_name "Ice Thickness Median";
    String units "centimeters";
  }
  ice_temp_median {
    Byte _FillValue 127;
    Byte actual_range -41, -1;
    String bcodmo_name "temperature";
    String description "median ice temperature";
    String long_name "Ice Temp Median";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  air_temp {
    Byte _FillValue 127;
    Byte actual_range -48, 3;
    String bcodmo_name "temp_air";
    String description "air temp";
    String long_name "Air Temp";
    String units "degrees Celsius";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Actual sampling location varied slightly between years and may be obtainable
from support contractor records. \\u00a0Approximate location of sampling was
McMurdo Station, Antarctica (77\\u00b051\\u203214\\u2033S,
166\\u00b028\\u203207\\u2033E). The number of measurements varied between
different years from 1 to 20. \\u00a0 All data were collected within an area of
approximately 0.28 km2, at a standard suite of 16 stations along a 3000 m
distance, and five stations across an orthogonal 1000 m distance.
 
At each station, small holes were drilled through the ice and the thickness
measured using a meter tape with a lever-arm that held the zero-point against
the bottom of the fast ice. Thickness was measured for solid ice and did not
include underlying brash ice or frazil ice, nor overlying snow.
 
Notes:
 
1999 began collection of additional data on time of day and snow depth  
 2003 began collection of additional data from shipping channel sites  
 2006 stopped collection of shipping channel site data, began collection of
additional data on ice temperature profiles  
 2010 did not collect ice temperature profile data.
 
For access to additional data that are available but not transcribed into this
data set; please contact authors to obtain access.";
    String awards_0_award_nid "665130";
    String awards_0_award_number "PLR-0944747";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0944747";
    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 awards_1_award_nid "665135";
    String awards_1_award_number "PLR-0944511";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0944511";
    String awards_1_funder_name "NSF Division of Polar Programs";
    String awards_1_funding_acronym "NSF PLR";
    String awards_1_funding_source_nid "490497";
    String awards_1_program_manager "Dr Chris H. Fritsen";
    String awards_1_program_manager_nid "50502";
    String awards_2_award_nid "665138";
    String awards_2_award_number "PLR-0944694";
    String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0944694";
    String awards_2_funder_name "NSF Division of Polar Programs";
    String awards_2_funding_acronym "NSF PLR";
    String awards_2_funding_source_nid "490497";
    String awards_2_program_manager "Dr Chris H. Fritsen";
    String awards_2_program_manager_nid "50502";
    String cdm_data_type "Other";
    String comment 
"Ice thickness at McMurdo Station 
   PIs: Stacy Kim et al. 
     data version: 31 Jan 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 "2017-01-18T19:09:41Z";
    String date_modified "2017-07-07T14:52:01Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.708232";
    Float64 Easternmost_Easting 166.4686;
    Float64 geospatial_lat_max -77.8539;
    Float64 geospatial_lat_min -77.8539;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 166.4686;
    Float64 geospatial_lon_min 166.4686;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-03-28T22:14:25Z (local files)
2024-03-28T22:14:25Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_675187.das";
    String infoUrl "https://www.bco-dmo.org/dataset/675187";
    String institution "BCO-DMO";
    String instruments_0_dataset_instrument_nid "679639";
    String instruments_0_description "A tape measure or measuring tape is a flexible ruler. It consists of a ribbon of cloth, plastic, fibre glass, or metal strip with linear-measurement markings. It is a common measuring tool.";
    String instruments_0_instrument_name "Measuring Tape";
    String instruments_0_instrument_nid "645010";
    String instruments_0_supplied_name "meter tape";
    String keywords "air, air_temp, bco, bco-dmo, biological, chemical, data, dataset, date, day, dmo, erddap, ice, ice_temp_median, ice_thickness_median, latitude, longitude, management, median, month, oceanography, office, preliminary, temperature, thickness, time, year";
    String license "https://www.bco-dmo.org/dataset/675187/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/675187";
    Float64 Northernmost_Northing -77.8539;
    String param_mapping "{'675187': {'lat_approx': 'flag - latitude', 'lon_approx': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/675187/parameters";
    String people_0_affiliation "Moss Landing Marine Laboratories";
    String people_0_affiliation_acronym "MLML";
    String people_0_person_name "Dr Stacy Kim";
    String people_0_person_nid "51714";
    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 "University of South Florida";
    String people_3_affiliation_acronym "USF";
    String people_3_person_name "Kendra L. Daly";
    String people_3_person_nid "50505";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "Moss Landing Marine Laboratories";
    String people_4_affiliation_acronym "MLML";
    String people_4_person_name "Dr Stacy Kim";
    String people_4_person_nid "51714";
    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 -77.8539;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "latitude,longitude";
    String summary 
"This dataset contains\\u00a0sea ice thickness, sea ice temperature, and air
temperature at the sea ice runway near McMurdo Station, Antarctica, from
1986-2013.\\u00a0";
    String title "Sea ice parameters near McMurdo Station, Antarctica from 1986 to 2013";
    String version "1";
    Float64 Westernmost_Easting 166.4686;
    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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