ERDDAP > tabledap > Data Access Form

Dataset Title:	Pacific Life Cetacean (2019-2024)
Institution:	GCOOS   (Dataset ID: Mexico-PLC-2019-2024)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
eventID	!= =~ <= >= = < >		!= =~ <= >= = < >		""	""
datasetID	!= =~ <= >= = < >		!= =~ <= >= = < >		"BONANZA_2019_01"	"BONANZA_2024_05"
datasetName	!= =~ <= >= = < >		!= =~ <= >= = < >		"PL_LABMMAR"
institutionCode	!= =~ <= >= = < >		!= =~ <= >= = < >		"PELAGIC LIFE"
eventDate	!= =~ <= >= = < >		!= =~ <= >= = < >		"10/12/2020"	"9/28/2020"
eventTime (Time)	!= =~ <= >= = < >		!= =~ <= >= = < >		"11:35"	"NA"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		19.20056	19.725
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-96.06611111	-95.50083
locality	!= =~ <= >= = < >		!= =~ <= >= = < >		"Veracruz"
stateProvince	!= =~ <= >= = < >		!= =~ <= >= = < >		"Veracruz"
country	!= =~ <= >= = < >		!= =~ <= >= = < >		"Mexico"
waterBody	!= =~ <= >= = < >		!= =~ <= >= = < >		"Gulf of Mexico"
scientificName	!= =~ <= >= = < >		!= =~ <= >= = < >		"Globicephala macro..."	"Ziphius cavirostris"
taxonRank	!= =~ <= >= = < >		!= =~ <= >= = < >		"species"	"species"
kingdom	!= =~ <= >= = < >		!= =~ <= >= = < >		"Animalia"
phylum	!= =~ <= >= = < >		!= =~ <= >= = < >		"Chordata"
class	!= =~ <= >= = < >		!= =~ <= >= = < >		"Mammalia"
order	!= =~ <= >= = < >		!= =~ <= >= = < >		"Cetacea"
family	!= =~ <= >= = < >		!= =~ <= >= = < >		"Delphinidae"	"Ziphiidae"
genus	!= =~ <= >= = < >		!= =~ <= >= = < >		"Globicephala"	"Ziphius"
specie	!= =~ <= >= = < >		!= =~ <= >= = < >		"Globicephala macro..."	"Ziphius cavirostris"
individualCount (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	30
recordedBy	!= =~ <= >= = < >		!= =~ <= >= = < >		"Manuel Fernandez"
identifiedBy	!= =~ <= >= = < >		!= =~ <= >= = < >		"Manuel Fernandez"
dateIdentified (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >
basisOfRecord	!= =~ <= >= = < >		!= =~ <= >= = < >		"HumanObservation"
habitat	!= =~ <= >= = < >		!= =~ <= >= = < >		"Oceanic water"
elevation	!= =~ <= >= = < >		!= =~ <= >= = < >		""
identificationRemarks	!= =~ <= >= = < >		!= =~ <= >= = < >		"Identified to species"
eventRemarks	!= =~ <= >= = < >		!= =~ <= >= = < >		"Observation in open water"
samplingProtocol	!= =~ <= >= = < >		!= =~ <= >= = < >		"Distance sampling"
samplingEffort	!= =~ <= >= = < >		!= =~ <= >= = < >		"Survey effort"
citation	!= =~ <= >= = < >		!= =~ <= >= = < >		""	""
referenceType	!= =~ <= >= = < >		!= =~ <= >= = < >		"Thesis"

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" eventID datasetID datasetName institutionCode eventDate eventTime latitude longitude locality stateProvince country waterBody scientificName taxonRank kingdom phylum class order family genus specie individualCount recordedBy identifiedBy dateIdentified basisOfRecord habitat elevation identificationRemarks eventRemarks samplingProtocol samplingEffort citation referenceType eventID datasetID datasetName institutionCode eventDate eventTime latitude longitude locality stateProvince country waterBody scientificName taxonRank kingdom phylum class order family genus specie individualCount recordedBy identifiedBy dateIdentified basisOfRecord habitat elevation identificationRemarks eventRemarks samplingProtocol samplingEffort citation referenceType eventID datasetID datasetName institutionCode eventDate eventTime latitude longitude locality stateProvince country waterBody scientificName taxonRank kingdom phylum class order family genus specie individualCount recordedBy identifiedBy dateIdentified basisOfRecord habitat elevation identificationRemarks eventRemarks samplingProtocol samplingEffort citation referenceType eventID datasetID datasetName institutionCode eventDate eventTime latitude longitude locality stateProvince country waterBody scientificName taxonRank kingdom phylum class order family genus specie individualCount recordedBy identifiedBy dateIdentified basisOfRecord habitat elevation identificationRemarks eventRemarks samplingProtocol samplingEffort citation referenceType eventID datasetID datasetName institutionCode eventDate eventTime latitude longitude locality stateProvince country waterBody scientificName taxonRank kingdom phylum class order family genus specie individualCount recordedBy identifiedBy dateIdentified basisOfRecord habitat elevation identificationRemarks eventRemarks samplingProtocol samplingEffort citation referenceType ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units"). .parquetWMeta - Download as a parquet file with detailed metadata. .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

(Documentation / Bypass this form )
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  eventID {
    String ioos_category "Identifier";
    String long_name "event ID";
  }
  datasetID {
    String ioos_category "Identifier";
    String long_name "Dataset ID";
  }
  datasetName {
    String ioos_category "Unknown";
    String long_name "Dataset Name";
  }
  institutionCode {
    String ioos_category "Unknown";
    String long_name "Institution Code";
  }
  eventDate {
    String ioos_category "Time";
    String long_name "Event Date";
    String standard_name "time";
  }
  eventTime {
    String ioos_category "Time";
    String long_name "Time";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 19.20056, 19.725;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "decimalLatitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -96.06611111, -95.50083;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "decimalLongitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  locality {
    String ioos_category "Location";
    String long_name "Locality";
  }
  stateProvince {
    String ioos_category "Location";
    String long_name "State Province";
  }
  country {
    String ioos_category "Location";
    String long_name "Country";
  }
  waterBody {
    String ioos_category "Unknown";
    String long_name "Water Body";
  }
  scientificName {
    String ioos_category "Taxonomy";
    String long_name "Scientific Name";
  }
  taxonRank {
    String ioos_category "Taxonomy";
    String long_name "Taxon Rank";
  }
  kingdom {
    String ioos_category "Unknown";
    String long_name "Kingdom";
  }
  phylum {
    String ioos_category "Taxonomy";
    String long_name "Phylum";
  }
  class {
    String ioos_category "Unknown";
    String long_name "Class";
  }
  order {
    String ioos_category "Taxonomy";
    String long_name "Order";
  }
  family {
    String ioos_category "Taxonomy";
    String long_name "Family";
  }
  genus {
    String ioos_category "Taxonomy";
    String long_name "Genus";
  }
  specie {
    String ioos_category "Unknown";
    String long_name "Specie";
  }
  individualCount {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 30;
    String ioos_category "Statistics";
    String long_name "Individual Count";
    Byte missing_value 127;
    String units "count";
  }
  recordedBy {
    String ioos_category "Unknown";
    String long_name "Recorded By";
  }
  identifiedBy {
    String ioos_category "Unknown";
    String long_name "Identified By";
  }
  dateIdentified {
    String ioos_category "Time";
    String long_name "Date Identified";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  basisOfRecord {
    String ioos_category "Unknown";
    String long_name "Basis Of Record";
  }
  habitat {
    String ioos_category "Unknown";
    String long_name "Habitat";
  }
  elevation {
    String ioos_category "Location";
    String long_name "Elevation";
  }
  identificationRemarks {
    String ioos_category "Unknown";
    String long_name "Identification Remarks";
  }
  eventRemarks {
    String ioos_category "Unknown";
    String long_name "Event Remarks";
  }
  samplingProtocol {
    String ioos_category "Unknown";
    String long_name "Sampling Protocol";
  }
  samplingEffort {
    String ioos_category "Unknown";
    String long_name "Sampling Effort";
  }
  citation {
    String ioos_category "Unknown";
    String long_name "Citation";
  }
  referenceType {
    String ioos_category "Unknown";
    String long_name "Reference Type";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String contributor_email "manolo.fdez.g@gmail.com";
    String contributor_name "Manuel Fernandez";
    String contributor_role "Researcher";
    String contributor_role_vocabulary "https://vocab.nerc.ac.uk/collection/G04/current/";
    String Conventions "CF-1.7, ACDD-1.3, IOOS 1.2";
    String creator_address "6300 Ocean Drive";
    String creator_city "Corpus Christi";
    String creator_country "USA";
    String creator_email "megan.howson@gcoos.org";
    String creator_institution "Texas AM University Corpus Christi";
    String creator_name "Megan Howson";
    String creator_phone "(361) 825-3454";
    String creator_postalcode "78412";
    String creator_sector "academic";
    String creator_state "Texas";
    String creator_type "person";
    Float64 Easternmost_Easting -95.50083;
    Float64 geospatial_lat_max 19.725;
    Float64 geospatial_lat_min 19.20056;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -95.50083;
    Float64 geospatial_lon_min -96.06611111;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-03-14T05:08:33Z (local files)
2025-03-14T05:08:33Z https://gcoos4.geos.tamu.edu/erddap/tabledap/Mexico-PLC-2019-2024.html";
    String infoUrl "https://data.gcoos.org/";
    String institution "GCOOS";
    String instrument "various";
    String instrument_vocabulary "GCMD Science Keywords Version 9.1.5";
    String keywords "2019-2024, cetacean, mexico";
    String license "CC4";
    Float64 Northernmost_Northing 19.725;
    String platform "None";
    String platform_name "NA";
    String publisher_address "6300 Ocean Drive";
    String publisher_city "Corpus Christi";
    String publisher_country "USA";
    String publisher_email "data@gcoos.org";
    String publisher_institution "GCOOS";
    String publisher_name "GCOOS";
    String publisher_phone "(361) 825-3454";
    String publisher_postalcode "78412";
    String publisher_state "Texas";
    String publisher_url "https://gcoos.org";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 19.20056;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "datasetName, institutionCode, locality, stateProvince, country, waterBody, kingdom, phylum, class, order, recordedBy, identifiedBy, basisOfRecord, habitat, elevation, identificationRemarks, eventRemarks, samplingProtocol, samplingEffort, referenceType";
    String summary "This dataset contains opportunistic sightings of cetaceans off the coast of Veracruz during surveys by Manuel Fernandez with Pelagic Life. These surveys were conducted between 2019-2024.";
    String time_coverage_end "2024-06-12T12:30:00Z";
    String time_coverage_start "2019-04-06T11:53:00Z";
    String title "Pacific Life Cetacean (2019-2024)";
    Float64 Westernmost_Easting -96.06611111;
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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.

 

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