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Dataset Title:  National Inventory of the Natural Heritage: Data from the air monitoring
campaigns of marine megafauna (SAMM) in the French metropolitan area
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Institution:  MNHN-SPN   (Dataset ID: gbif_14998)
Range: longitude = -9.625 to 10.164°E, latitude = 40.12 to 51.5°N, time = 1970-01-01T01:00:00Z to 2034-11-29T01:00:00Z
Information:  Summary ? | License ? | FGDC | 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 {
  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 1970.0, 2034.0;
    String long_name "YearCollected";
    String units "None";
    String units_uri "None";
  }
  MonthCollected {
    Float32 actual_range 1.0, 12.0;
    String long_name "MonthCollected";
    String units "None";
    String units_uri "None";
  }
  DayCollected {
    Float32 actual_range 1.0, 31.0;
    String long_name "DayCollected";
    String units "None";
    String units_uri "None";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 3600.0, 2.0483748e+9;
    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";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -9.625, 10.164;
    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 40.12, 51.5;
    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 "21";
    String AccConstrDescription "This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.";
    String AccConstrDisplay "This dataset is licensed under a Creative Commons Attribution 4.0 International License.";
    String AccConstrEN "Attribution (CC BY)";
    String AccessConstraint "Attribution (CC BY)";
    String AccessConstraints "None";
    String Acronym "None";
    String added_date "2014-04-30 14:40:48.427000";
    String BrackishFlag "0";
    String CDate "2014-02-25";
    String cdm_data_type "Other";
    String CheckedFlag "0";
    String Citation "SPN - Service du Patrimoine naturel, Muséum national d'Histoire naturelle, Paris: Inventaire National du Patrimoine Naturel : Données des campagnes de Suivi Aérien de la Mégafaune Marine (SAMM) de France métropolitaine, 2013-06-20. Accessed via http://www.gbif.org/dataset/489cf485-b8de-4d38-a01a-6f426c658222 on yyyy-mm-dd";
    String Comments "GBIF Portal ID 14998";
    String ContactEmail "None";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Van Canneyt, Vest";
    String CurrencyDate "None";
    String DasID "4554";
    String DasOrigin "Monitoring: field survey";
    String DasType "Data";
    String DasTypeID "1";
    String DateLastModified "{'date': '2025-02-18 01:34:01.301036', 'timezone_type': 1, 'timezone': '+01:00'}";
    String DescrCompFlag "0";
    String DescrTransFlag "1";
    String DOI "10.15468/dylxhs";
    Float64 Easternmost_Easting 10.164;
    String EmbargoDate "None";
    String EngAbstract "Data from air monitoring of marine megafauna in the maritime French metropolitan area and its adjacent areas.";
    String EngDescr "The objective of the aerial monitoring of the maritime French metropolitan area and its adjacent areas was to produce an inventory of the spatial distribution and abundance of megafauna species, mainly marine mammals, seabirds, sea turtles and elasmobranchs. This dataset is composed of two datasets: SAMM1 for winter 2011 and SAMM2 for summer 2012. These data were collected in the framework of the Knowledge Acquisition Program on Birds and Marine Mammals (Programme d’Acquisition de Connaissances sur les Oiseaux et les Mammifères Marins - PACOMM), which is coordinated by the Agency for Marine Protected Areas (Agence des Aires Marines Protégées). The main objective of this program was to improve the knowledge needed  for the evaluation and implementation of the Natura 2000 network beyond the territorial seas.  The data were collected by teams of scientists and observers, coordinated by the PELAGIS Observatory and trained specifically in the aerial observation protocol that was developed in the framework of this program. The SAMM campaigns have collected more than 28.000 observation records of species in French metropolitan waters along more than 100.000 km of transect. This datasets consists only of occurrence records (species, location, date and name of the program) of birds, marine mammals, sharks, rays, sea turtles, and bony fish.";
    String FreshFlag "0";
    String GBIF_UUID "489cf485-b8de-4d38-a01a-6f426c658222";
    Float64 geospatial_lat_max 51.5;
    Float64 geospatial_lat_min 40.12;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 10.164;
    Float64 geospatial_lon_min -9.625;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-03-09T23:09:11Z (local files)
2025-03-09T23:09:11Z http://erddap.eurobis.org/tabledap/gbif_14998.das";
    String infoUrl "None";
    String InputNotes "None";
    String institution "MNHN-SPN";
    String keywords "aphia_id, BasisOfRecord, DayCollected, InstitutionCode, latitude, longitude, MonthCollected, ScientificName, time, YearCollected";
    String License "https://creativecommons.org/licenses/by/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 "2021-02-05 00:00:00";
    Float64 Northernmost_Northing 51.5;
    String OrigAbstract "Données des campagnes de Suivi Aérien de la Mégafaune Marine de l’espace maritime métropolitain et de ses zones limitrophes.";
    String OrigDescr "L’objectif des survols de l’espace maritime métropolitain et de ses zones limitrophes était de produire un état des lieux de la distribution spatiale et de l'abondance d’espèces de mégafaune (mammifères et oiseaux marins, tortues et élasmobranches principalement). Le jeu de données est composé de deux jeux de données : SAMM1 pour l'hiver 2011 et SAMM2 pour l'été 2012. Ces données ont été collectées dans le cadre du Programme d’Acquisition de Connaissances sur les Oiseaux et les Mammifères Marins (PACOMM) coordonné par l’Agence des Aires Marines Protégées. Ce programme avait pour objectif principal d’améliorer les connaissances nécessaires à l’évaluation et la mise en place du réseau de sites Natura 2000 au-delà de la mer territoriale. Les données ont été collectées par des équipes de scientifiques et des observateurs coordonnées par l’Observatoire PELAGIS et formés spécifiquement au protocole d’observation aérienne mis en place dans le cadre de ce programme. Les campagnes SAMM ont permis de collecter plus de 28 000 données d’observations d’espèces dans les eaux métropolitaines le long de plus de 100.000 km de transect. Ce jeu de données est constitué uniquement des données d’occurrence (espèce, localisation, date et nom du programme) sur les oiseaux et mammifères marins, d’autres espèces (requins, raies, tortues marines, poissons osseux).";
    String OrigDescrLang "French";
    String OrigDescrLangNL "Frans";
    String OrigLangCode "fr";
    String OrigLangCodeExtended "fre";
    String OrigLangID "22";
    String OrigTitle "Inventaire National du Patrimoine Naturel: Données des campagnes de Suivi Aérien de la Mégafaune Marine (SAMM) de France métropolitaine";
    String OrigTitleLang "French";
    String OrigTitleLangCode "fr";
    String OrigTitleLangID "22";
    String OrigTitleLangNL "Frans";
    String Progress "In Progress";
    String PublicFlag "1";
    String ReleaseDate "None";
    String ReleaseDate0 "None";
    String RevisionDate "None";
    String SizeReference "16.568 occurrences";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.12;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String StandardTitle "National Inventory of the Natural Heritage: Data from the air monitoring campaigns of marine megafauna (SAMM) in the French metropolitan area";
    String StatusID "1";
    String subsetVariables "ScientificName,BasisOfRecord,YearCollected,MonthCollected,DayCollected,aphia_id";
    String summary "Data from air monitoring of marine megafauna in the maritime French metropolitan area and its adjacent areas.";
    String TerrestrialFlag "0";
    String time_coverage_end "2034-11-29T01:00:00Z";
    String time_coverage_start "1970-01-01T01:00:00Z";
    String title "National Inventory of the Natural Heritage: Data from the air monitoring campaigns of marine megafauna (SAMM) in the French metropolitan area";
    String UDate "2022-07-19";
    String VersionDate "None";
    String VersionDay "None";
    String VersionMonth "None";
    String VersionName "None";
    String VersionYear "None";
    String VlizCoreFlag "1";
    Float64 Westernmost_Easting -9.625;
  }
}

 

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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