Data Access Form

Dataset Title:	SPI - Surface cyclone mask for the Antarctic Circumnavigation Expedition from December 2016 – March 2017.
Institution:	Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland (Dataset ID: SPI_10_5281_zenodo_3974311)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Variable	Minimum	Maximum
time (UTC)	2016-12-18T00:00:00Z	2017-03-21T23:00:00Z

cyclone_flag	0	1
latitude (degrees_north)	-74.0053383333333	-33.86371

longitude (degrees_east)	-179.999965	179.955968333333

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    Int32 _ChunkSizes 512;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4820192e+9, 1.4901372e+9;
    String axis "T";
    String description "time";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
    String x_spi_emodnet_visualise_variable "False";
  }
  cyclone_flag {
    Int32 _ChunkSizes 1024;
    Int32 actual_range 0, 1;
    String description "mask of occurrence (1) or not (0) of surface cyclones along the ACE track";
    String spi_original_name "cyclone_flag";
    String x_spi_emodnet_visualise_variable "True";
  }
  latitude {
    Int32 _ChunkSizes 512;
    String _CoordinateAxisType "Lat";
    Float64 actual_range -74.0053383333333, -33.86371;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    String x_spi_emodnet_visualise_variable "False";
  }
  longitude {
    Int32 _ChunkSizes 512;
    String _CoordinateAxisType "Lon";
    Float64 actual_range -179.999965, 179.955968333333;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    String x_spi_emodnet_visualise_variable "False";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.2,hdf5=1.10.5";
    String cdm_data_type "Other";
    String citation "Thurnherr, I. and Wernli, H. (2020). Surface cyclone mask for the Antarctic Circumnavigation Expedition from December 2016 – March 2017. (Version 1.0) [Data set]. Zenodo. doi: 10.5281/zenodo.3974312";
    String contributors "[{'title': 'Iris Thurnherr', 'path': 'https://orcid.org/0000-0003-3647-0373', 'email': 'iris.thurnherr@env.ethz.ch', 'role': 'author', 'organisation': 'Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland'}, {'title': 'Heini Wernli', 'path': 'https://orcid.org/0000-0001-9674-4837', 'role': 'author', 'organisation': 'Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland'}, {'title': 'Jenny Thomas', 'path': 'https://orcid.org/0000-0002-5986-7026', 'role': 'publisher', 'organisation': 'Swiss Polar Institute'}]";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Iris Thurnherr";
    String creator_type "institution";
    String creator_url "https://orcid.org/0000-0003-3647-0373";
    String DOI "https://doi.org/10.5281/zenodo.3974312";
    Float64 Easternmost_Easting 179.955968333333;
    Float64 geospatial_lat_max -33.86371;
    Float64 geospatial_lat_min -74.0053383333333;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.955968333333;
    Float64 geospatial_lon_min -179.999965;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-04-23T11:59:14Z (local files)
2024-04-23T11:59:14Z https://erddap.emodnet-physics.eu/erddap/tabledap/SPI_10_5281_zenodo_3974311.html";
    String infoUrl "https://doi.org/10.5281/zenodo.3974312";
    String institution "Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland";
    String keywords "ACE, Antarctic Circumnavigation Expedition, Antarctica, cyclone, cyclone frequency, extratropical cyclone, Southern Ocean";
    String license "CC-BY-4.0";
    Float64 Northernmost_Northing -33.86371;
    String platform_code "UBXH3_ace_3974311";
    String platform_name "R/V Akademik Tryoshnikov";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -74.0053383333333;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This dataset contains a surface cyclone mask, which records the presence of a surface cyclone along the track of the Antarctic Circumnavigation expedition (ACE). The surface cyclones are calculated applying a 2D cyclone identification algorithm (Wernli and Schwierz, 2006; Sprenger et al., 2017) using global operational analysis data of the European Centre for Medium Range Weather Forecasts.";
    String time_coverage_end "2017-03-21T23:00:00Z";
    String time_coverage_start "2016-12-18T00:00:00Z";
    String title "SPI - Surface cyclone mask for the Antarctic Circumnavigation Expedition from December 2016 – March 2017.";
    String type "ferrybox/ship";
    Float64 Westernmost_Easting -179.999965;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.