Easier access to scientific data
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ERDDAP NAUTILOS
Easier access to scientific data |
Brought to you by Nautilos |
| Dataset Title: | NAUTILOS - MAANTA animal tag with O2 sensor - Data - CEiiA / IMAR
|
| Institution: | CEiiA, IMAR (Dataset ID: animal_tag_ceiia_data) |
| Information: | Summary
| License
| Metadata
| Background
| Files
| Make a graph
|
Attributes {
s {
mission_id {
String long_name "Mission Id";
}
provider {
String long_name "Provider";
}
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.7144352e+9, 1.726874292e+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";
}
timestamp {
Float64 _FillValue 9223372036854775807;
Float64 actual_range 20240429230000, 20240919140000;
String long_name "Timestamp";
}
animal_type_code {
String long_name "Animal Type Code";
}
animal_type {
String long_name "Animal Type";
}
deployment_lat {
Float32 actual_range 38.00513, 38.64333;
String long_name "Deployment Lat";
String units "degrees_north";
}
deployment_lon {
Float32 actual_range -29.872, -28.56117;
String long_name "Deployment Lon";
String units "degrees_east";
}
recovery_lat {
Float32 actual_range 36.12, 38.89534;
String long_name "Recovery Lat";
String units "degrees_north";
}
recovery_lon {
Float64 actual_range -31.03417, -27.632690000000004;
String long_name "Recovery Lon";
String units "degrees_east";
}
Bat {
Float32 actual_range 2.9, 4.18;
String long_name "Bat";
String units "V";
}
Bat_2 {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 0, 98;
String long_name "Bat_2";
String units "%";
}
Ax {
Float32 actual_range -2.0, 2.01;
String long_name "Ax";
String units "g";
}
Ay {
Float32 actual_range -2.04, 2.0;
String long_name "Ay";
String units "g";
}
Az {
Float32 actual_range -2.0, 2.01;
String long_name "Az";
String units "g";
}
Gx {
Float32 actual_range -250.65, 249.99;
String long_name "GX";
String units "°/S";
}
Gy {
Float32 actual_range -251.17, 249.99;
String long_name "GY";
String units "°/S";
}
Gz {
Float32 actual_range -250.0, 250.3;
String long_name "GZ";
String units "°/S";
}
Mx {
Float32 actual_range -1643.3, 1681.13;
String long_name "MX";
String units "µT";
}
My {
Float32 actual_range -2679.34, 2585.45;
String long_name "MY";
String units "µT";
}
Mz {
Float32 actual_range -3104.82, 2897.31;
String long_name "MZ";
String units "µT";
}
Light {
Float32 actual_range 0.0, 4541.78;
String long_name "Light";
String units "lux";
}
Velocity {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 0, 126;
String long_name "Velocity";
String units "ticks/s";
}
Oxygen {
Float32 _FillValue NaN;
Float32 actual_range -72595.02, 16809.36;
String long_name "Oxygen";
String units "umol/L";
}
Oxygen_saturation {
Float32 _FillValue NaN;
String long_name "Oxygen saturation";
String units "% air sat.";
}
Oxygen_phase_shift {
Float32 _FillValue NaN;
String long_name "Oxygen phase shift";
String units "dphi - m°";
}
Oxygen_status {
Float32 _FillValue NaN;
String long_name "Oxygen status";
}
Oxygen_signal_intensity {
Float32 _FillValue NaN;
String long_name "Oxygen signal intensity";
String units "mV";
}
Oxygen_ambient_light {
Float32 _FillValue NaN;
String long_name "Oxygen";
String units "mV";
}
Pressure {
Float32 actual_range 0.61, 130.11;
String long_name "Pressure";
String units "bar";
}
Temperature {
Float32 actual_range 3.95, 34.45;
String long_name "Temperature";
String units "°C";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float32 actual_range 0.0, 1281.8;
String axis "Z";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String ioos_category "Location";
String long_name "Depth";
String positive "down";
String source_name "Depth (m)";
String standard_name "depth";
String units "m";
}
}
NC_GLOBAL {
String cdm_data_type "Other";
String Conventions "COARDS, CF-1.6, ACDD-1.3";
Float64 geospatial_vertical_max 1281.8;
Float64 geospatial_vertical_min 0.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2025-05-01T09:43:52Z (local files)
2025-05-01T09:43:52Z https://data-nautilos-h2020.eu/erddap/tabledap/animal_tag_ceiia_data.html";
String infoUrl "https://data-nautilos-h2020.eu/erddap/index.html";
String institution "CEiiA, IMAR";
String institution_country "PRT, PRT";
String institution_references "CEiiA is an engineering and product development centre that designs, develops and productizes new technologies, products and services towards a more sustainable society. From Portugal, we work by bridging together cities, industries and universities around product development programs in high-tech sectors such as Mobility, Aeronautics, Space and Ocean. / IMAR (Institute of Marine Research) is a private and non-profit organization, recognized as being of public utility. The founding members of IMAR are the majority of the Portuguese universities that undertake research in Marine Science and Technology. IMAR is one of the lead beneficiaries and resource managers to support OKEANOS - Institute of Marine Sciences, University of the Azores. IMAR promotes R&D in marine sciences and technology, multidisciplinary marine research, and education.";
String keywords "dissolved oxygen, ocean pressure, ocean temperature, orientation, velocity";
String keywords_vocabulary "GCMD Science Keywords";
String license "CC-BY 4.0";
String metadata_dataset "https://data-nautilos-h2020.eu/erddap/tabledap/animal_tag_ceiia_metadata.html";
String naming_authority "NAUTILOS";
String platform_type "organism";
String project_code "NAUTILOS";
String Project_DOI "https://doi.org/10.3030/101000825";
String project_edmerp "13720";
String project_id "101000825";
String project_name "New Approach to Underwater Technologies for Innovative, Low-cost Ocean obServation";
String project_statement "This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101000825 (NAUTILOS). This output reflects only the author's view and the European Union cannot be held responsible for any use that may be made of the information contained therein";
String sourceUrl "(local files)";
String standard_name_vocabulary "CF Standard Name Table v70";
String summary "NAUTILOS - MAANTA animal tag with O2 sensor - Data - CEiiA / IMAR";
String time_coverage_end "2024-09-20T23:18:12Z";
String time_coverage_start "2024-04-30T00:00:00Z";
String title "NAUTILOS - MAANTA animal tag with O2 sensor - Data - CEiiA / IMAR";
String variables "Date,Bat (V),Bat (%),Ax (g),Ay (g),Az (g),Gx (°/s),Gy (°/s),Gz (°/s),Mx (µT),My (µT),Mz (µT),Light (lux),Velocity (ticks/s),Oxygen (umol/L),Oxygen (% air sat.),Oxygen (dphi - mº),Pressure (bar),Temperature (ºC),Depth (m)";
}
}
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.
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.