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Dataset Title:	Zakynthos 2007: Loggerhead Turtles (aggregated per 1-degree cell)
Institution:	None (Dataset ID: zd_1903_1deg)
Range:	longitude = -37.5 to 74.5°E, latitude = 28.5 to 55.5°N
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| 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:

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Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  ScientificName {
    String long_name "ScientificName";
    String sdn_P02_name "SeaDataNet biological format biotic parameters";
    String sdn_P02_uri "https://vocab.nerc.ac.uk/collection/P02/current/BPRP/";
    String sdn_P02_urn "SDN:P02::BPRP";
    String sdn_parameter_name "Taxon of biological entity specified elsewhere";
    String sdn_parameter_uri "https://vocab.nerc.ac.uk/collection/P01/current/SCNAME01/";
    String sdn_parameter_urn "SDN:P01::SCNAME01";
    String sdn_uom_name "Not applicable";
    String sdn_uom_uri "https://vocab.nerc.ac.uk/collection/P06/current/XXXX/";
    String sdn_uom_urn "SDN:P06::XXXX";
    String standard_name "scientificname";
    String units "Not applicable";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/SCNAME01/";
  }
  BasisOfRecord {
    String long_name "BasisOfRecord";
    String units "None";
    String units_uri "None";
  }
  InstitutionCode {
    String long_name "InstitutionCode";
    String units "None";
    String units_uri "None";
  }
  YearCollected {
    Float32 actual_range 2007.0, 2009.0;
    String long_name "YearCollected";
    String units "None";
    String units_uri "None";
  }
  MonthCollected {
    Float32 actual_range 3.0, 12.0;
    String long_name "MonthCollected";
    String units "None";
    String units_uri "None";
  }
  DayCollected {
    Float32 actual_range 3.0, 31.0;
    String long_name "DayCollected";
    String units "None";
    String units_uri "None";
  }
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/CJDY1101";
  }
  TimeOfDay {
    Float32 actual_range 2.123, 22.64;
    String long_name "TimeOfDay";
    String units "None";
    String units_uri "None";
  }
  sex {
    String long_name "sex";
    String units "None";
    String units_uri "None";
  }
  lifestage {
    String long_name "lifestage";
    String units "None";
    String units_uri "None";
  }
  ObservedIndividualCount {
    Float32 actual_range 1.0, 11.0;
    String long_name "ObservedIndividualCount";
    String units "http://rs.tdwg.org/dwc/terms/individualCount";
    String units_uri "http://rs.tdwg.org/dwc/terms/individualCount";
  }
  Notes {
    String long_name "Notes";
    String units "None";
    String units_uri "None";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -37.5, 74.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/ALONZZ01";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 28.5, 55.5;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/ALATZZ01";
  }
  aphia_id {
    String long_name "aphia_id";
    String sdn_P02_name "SeaDataNet biological format biotic parameters";
    String sdn_P02_uri "https://vocab.nerc.ac.uk/collection/P02/current/BPRP/";
    String sdn_P02_urn "SDN:P02::BPRP";
    String sdn_parameter_name "Identifier (LSID) of biological entity specified elsewhere";
    String sdn_parameter_uri "https://vocab.nerc.ac.uk/collection/P01/current/SNANID01/";
    String sdn_parameter_urn "SDN:P01::SNANID01";
    String sdn_uom_name "Not applicable";
    String sdn_uom_uri "https://vocab.nerc.ac.uk/collection/P06/current/XXXX/";
    String sdn_uom_urn "SDN:P06::XXXX";
    String standard_name "aphia_id";
    String units "Not applicable";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/SNANID01/";
  }
 }
  NC_GLOBAL {
    String AccConID "24";
    String AccConstrDescription "This license lets others remix, tweak, and build upon your work non-commercially, and although their new works must also acknowledge you and be non-commercial, they don’t have to license their derivative works on the same terms";
    String AccConstrDisplay "This dataset is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.";
    String AccConstrEN "Attribution-NonCommercial (CC BY-NC)";
    String AccessConstraint "Attribution-NonCommercial (CC BY-NC)";
    String AccessConstraints "This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.";
    String Acronym "None";
    String added_date "2024-06-04 11:58:06.617000";
    String BrackishFlag "0";
    String CDate "2023-04-11";
    String cdm_data_type "Other";
    String CheckedFlag "0";
    String Citation "Zbinden J. 2021. Zakynthos 2007: Loggerhead Turtles. Data originated from Satellite Tracking and Analysis Tool (STAT; http://www.seaturtle.org/tracking/index.shtml?project_id=226).";
    String Comments "None";
    String ContactEmail "judith.zbinden@googlemail.com";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Zbinden";
    String CurrencyDate "None";
    String DasID "8285";
    String DasOrigin "None";
    String DasType "None";
    String DasTypeID "None";
    String DateLastModified "{'date': '2025-02-18 01:34:01.301036', 'timezone_type': 1, 'timezone': '+01:00'}";
    String DescrCompFlag "0";
    String DescrTransFlag "0";
    Float64 Easternmost_Easting 74.5;
    String EmbargoDate "None";
    String EngAbstract "The main aim of this project is to use satellite tracking to understand migration patterns and foraging area location of the largest loggerhead sea turtle breeding aggregation in the Mediterranean on Zakynthos, Greece. Additionally, we aim to further investigate over-wintering behaviour in one of the presumably important foraging areas for the population, the Adriatic Sea.&nbsp;Beyond satellite tracking, we investigate the suitability of a complimentary method, namely stable isotope analysis, for the study of sea turtle migration. If these chemical compounds differ in the tissue of turtles occupying geographically distinct foraging areas, it should be possible to infer to an individuals foraging location from samples obtained at the breeding area. To this aim, different tissues allowing non-intrusive sampling are collected.&nbsp;ARCHELON tagging data has revealed that most female turtles use different beaches for nesting, both within and between seasons.&nbsp;";
    String EngDescr "The main aim of this project is to expand on previously conducted satellite tracking (by the University of Bern, Switzerland) to understand migration patterns and foraging area location of the largest loggerhead sea turtle breeding aggregation in the Mediterranean on Zakynthos, Greece. Such knowledge is key to protection of adults away from the breeding area. The area of Zakynthos becoming very well protected in the last years by a national marine park, matching protection of these same individuals at sea is imperative for population health.Additionally, we aim to further investigate over-wintering behaviour in one of the presumably important foraging areas for the population, the Adriatic Sea. Water temperatures in its northern part drop far below what loggerheads can deal with, and extended over-wintering migrations have been observed in previously tracked individuals. Part of the transmitters we deploy in the current project not only render location information, but will allow to infer to diving patterns.&nbsp;Beyond satellite tracking, we investiate the suitability of a complimentary method, namely stable isotope analysis, for the study of sea turtle migration. If these chemical compounds differ in the tissue of turtles occupying geographically distinct foraging areas, it should be possible to infer to an individual¢s foraging location from samples obtained at the breeding area. To this aim, different tissues allowing non-intrusive sampling (e.g. commensal barnacle, scute flakes, non-viable eggs) are collected.&nbsp;The nesting area of Zakynthos comprises six individual nesting beaches (Marathonissi, East Laganas, Kalamaki, Daphni, Sekania and Gerakas) in a small geographical area. ARCHELON tagging data has revealed that most female turtles use different beaches for nesting, both within (Loggerheads lay several clutches during a nesting season, but typically only reproduce every few years) and between seasons.&nbsp;Original provider: Marine Turtle Research Group&nbsp;Dataset credits: Data provider Marine Turtle Research Group&nbsp;Originating data centerSatellite Tracking and Analysis Tool (STAT)&nbsp;Project partner&nbsp;This project is carried out by Judith Zbinden, Brendan Godley and additional members of the Marine Turtle Research Group at the University of Exeter, Cornwall Campus. Fieldwork is carried out in cooperation with ARCHELON, The Sea Turtle Protection Society of Greece. This greek NGO has been monitored turtles and their habitat on Zakynthos since the 1983. The research is approved by the National Marine Park of Zakynthos.Judith Zbinden is supported by a grant from the Swiss National Science Foundation. Stable isotope analysis will be conducted at the Life Sciences Community Stable Isotope Facility, hosted by the Scottish Universities Environmental Research Centre.&nbsp;Project sponsor or sponsor description&nbsp;Satellite tracking is sponsored by three Swiss Foundation: The MAVA - Stifung für Naturschutz continued its involvement with the study population and is founding the majoriy of transmitters. Additional funds are provided by the Basler Stifung fuer biologische Forschung as well as the Karl Mayer Stiftung.&nbsp;Supplemental information: Visit STAT's project page for additional information.&nbsp;This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.";
    String FreshFlag "0";
    String GBIF_UUID "96ed8c12-d67b-4dc4-80a9-984f44524869";
    Float64 geospatial_lat_max 55.5;
    Float64 geospatial_lat_min 28.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 74.5;
    Float64 geospatial_lon_min -37.5;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-03-09T23:35:03Z (local files)
2025-03-09T23:35:03Z http://erddap.eurobis.org/tabledap/zd_1903_1deg.das";
    String infoUrl "None";
    String InputNotes "None";
    String institution "None";
    String keywords "aphia_id, BasisOfRecord, DayCollected, InstitutionCode, latitude, lifestage, longitude, MonthCollected, Notes, ObservedIndividualCount, ScientificName, sex, time, TimeOfDay, YearCollected";
    String License "https://creativecommons.org/licenses/by-nc/4.0";
    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 Lineage "None";
    String MarineFlag "1";
    String modified_sync "2024-05-21 00:00:00";
    Float64 Northernmost_Northing 55.5;
    String OrigAbstract "None";
    String OrigDescr "None";
    String OrigDescrLang "None";
    String OrigDescrLangNL "None";
    String OrigLangCode "None";
    String OrigLangCodeExtended "None";
    String OrigLangID "None";
    String OrigTitle "None";
    String OrigTitleLang "None";
    String OrigTitleLangCode "None";
    String OrigTitleLangID "None";
    String OrigTitleLangNL "None";
    String Progress "None";
    String PublicFlag "1";
    String ReleaseDate "Apr 24 2021 12:00AM";
    String ReleaseDate0 "2021-04-24";
    String RevisionDate "None";
    String SizeReference "None";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 28.5;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String StandardTitle "Zakynthos 2007: Loggerhead Turtles (aggregated per 1-degree cell)";
    String StatusID "1";
    String subsetVariables "ScientificName,BasisOfRecord,YearCollected,MonthCollected,DayCollected,sex,lifestage,aphia_id";
    String summary "The main aim of this project is to use satellite tracking to understand migration patterns and foraging area location of the largest loggerhead sea turtle breeding aggregation in the Mediterranean on Zakynthos, Greece. Additionally, we aim to further investigate over-wintering behaviour in one of the presumably important foraging areas for the population, the Adriatic Sea.&nbsp;Beyond satellite tracking, we investigate the suitability of a complimentary method, namely stable isotope analysis, for the study of sea turtle migration. If these chemical compounds differ in the tissue of turtles occupying geographically distinct foraging areas, it should be possible to infer to an individuals foraging location from samples obtained at the breeding area. To this aim, different tissues allowing non-intrusive sampling are collected.&nbsp;ARCHELON tagging data has revealed that most female turtles use different beaches for nesting, both within and between seasons.&nbsp;";
    String TerrestrialFlag "0";
    String title "Zakynthos 2007: Loggerhead Turtles (aggregated per 1-degree cell)";
    String UDate "2023-04-20";
    String VersionDate "Apr 24 2021 12:00AM";
    String VersionDay "None";
    String VersionMonth "None";
    String VersionName "None";
    String VersionYear "None";
    String VlizCoreFlag "1";
    Float64 Westernmost_Easting -37.5;
  }
}

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.