ERDDAP > tabledap > Data Access Form

Dataset Title:	[Squid tag movement data and environmental sampling] - Squid tag movement data and environmental sampling acquired in November 2021 and May 2023 near Faial and Pico Islands, Azores archipelago. (RAPID: Too hot to hold: Effects of unseasonable warming on the Azores nekton community and its keystone taxon)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_924340_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
species (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Loligo forbesii - ..."	"Loligo forbesii - ..."
year (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2023	2023
julian_day (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		134	134
date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2023-05-14"	"2023-05-14"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		38.3003	38.3003
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-28.3522	-28.3522
sensor_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2s6"	"3s3"
time_vector (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01	159523.5
surge_acceleration (gravities)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.861816	3.561035
sway_acceleration (gravities)	!= =~ <= >= = < >		!= =~ <= >= = < >		-5.93457	6.208984
heave_acceleration (gravities)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.665527	4.764648
x_magnetic_field_strength (microTesla)	!= =~ <= >= = < >		!= =~ <= >= = < >		-413.9648	60.20508
y_magnetic_field_strength (microTesla)	!= =~ <= >= = < >		!= =~ <= >= = < >		-141.5039	247.2656
z_magnetic_field_strength (microTesla)	!= =~ <= >= = < >		!= =~ <= >= = < >		-223.2422	255.3223
x_angular_velocity (degress/sec)	!= =~ <= >= = < >		!= =~ <= >= = < >		-535.8276	999.9695
y_angular_velocity (degress/sec)	!= =~ <= >= = < >		!= =~ <= >= = < >		-352.2339	475.9827
z_angular_velocity (degress/sec)	!= =~ <= >= = < >		!= =~ <= >= = < >		-615.7837	608.5815
red_light (micro Watts per cm2)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.07781982
blue_light (micro Watts per cm2)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.1167297
green_light (micro Watts per cm2)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.07003784
temperature (degrees Celsius (°C))	!= =~ <= >= = < >		!= =~ <= >= = < >		-273.7032	30.0229
pressure (millibar)	!= =~ <= >= = < >		!= =~ <= >= = < >		998.4359	48641.77

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" species year julian_day date latitude longitude sensor_id time_vector surge_acceleration sway_acceleration heave_acceleration x_magnetic_field_strength y_magnetic_field_strength z_magnetic_field_strength x_angular_velocity y_angular_velocity z_angular_velocity red_light blue_light green_light temperature pressure species year julian_day date latitude longitude sensor_id time_vector surge_acceleration sway_acceleration heave_acceleration x_magnetic_field_strength y_magnetic_field_strength z_magnetic_field_strength x_angular_velocity y_angular_velocity z_angular_velocity red_light blue_light green_light temperature pressure species year julian_day date latitude longitude sensor_id time_vector surge_acceleration sway_acceleration heave_acceleration x_magnetic_field_strength y_magnetic_field_strength z_magnetic_field_strength x_angular_velocity y_angular_velocity z_angular_velocity red_light blue_light green_light temperature pressure species year julian_day date latitude longitude sensor_id time_vector surge_acceleration sway_acceleration heave_acceleration x_magnetic_field_strength y_magnetic_field_strength z_magnetic_field_strength x_angular_velocity y_angular_velocity z_angular_velocity red_light blue_light green_light temperature pressure species year julian_day date latitude longitude sensor_id time_vector surge_acceleration sway_acceleration heave_acceleration x_magnetic_field_strength y_magnetic_field_strength z_magnetic_field_strength x_angular_velocity y_angular_velocity z_angular_velocity red_light blue_light green_light temperature pressure ")

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). .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).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  species {
    String long_name "Species";
    String units "unitless";
  }
  year {
    Int32 actual_range 2023, 2023;
    String long_name "Year";
    String units "unitless";
  }
  julian_day {
    Int32 actual_range 134, 134;
    String long_name "Julian_day";
    String units "unitless";
  }
  date {
    String long_name "Date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 38.3003, 38.3003;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -28.3522, -28.3522;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sensor_id {
    String long_name "Sensor_id";
    String units "unitless";
  }
  time_vector {
    Float32 actual_range 0.01, 159523.5;
    String long_name "Time_vector";
    String units "unitless";
  }
  surge_acceleration {
    Float32 actual_range -1.861816, 3.561035;
    String long_name "Surge_acceleration";
    String units "gravities";
  }
  sway_acceleration {
    Float32 actual_range -5.93457, 6.208984;
    String long_name "Sway_acceleration";
    String units "gravities";
  }
  heave_acceleration {
    Float32 actual_range -1.665527, 4.764648;
    String long_name "Heave_acceleration";
    String units "gravities";
  }
  x_magnetic_field_strength {
    Float32 actual_range -413.9648, 60.20508;
    String long_name "X_magnetic_field_strength";
    String units "microTesla";
  }
  y_magnetic_field_strength {
    Float32 actual_range -141.5039, 247.2656;
    String long_name "Y_magnetic_field_strength";
    String units "microTesla";
  }
  z_magnetic_field_strength {
    Float32 actual_range -223.2422, 255.3223;
    String long_name "Z_magnetic_field_strength";
    String units "microTesla";
  }
  x_angular_velocity {
    Float32 actual_range -535.8276, 999.9695;
    String long_name "X_angular_velocity";
    String units "degress/sec";
  }
  y_angular_velocity {
    Float32 actual_range -352.2339, 475.9827;
    String long_name "Y_angular_velocity";
    String units "degress/sec";
  }
  z_angular_velocity {
    Float32 actual_range -615.7837, 608.5815;
    String long_name "Z_angular_velocity";
    String units "degress/sec";
  }
  red_light {
    Float32 actual_range 0.0, 0.07781982;
    String long_name "Red_light";
    String units "micro Watts per cm2";
  }
  blue_light {
    Float32 actual_range 0.0, 0.1167297;
    String long_name "Blue_light";
    String units "micro Watts per cm2";
  }
  green_light {
    Float32 actual_range 0.0, 0.07003784;
    String long_name "Green_light";
    String units "micro Watts per cm2";
  }
  temperature {
    Float32 actual_range -273.7032, 30.0229;
    String long_name "Temperature";
    String units "degrees Celsius (°C)";
  }
  pressure {
    Float32 actual_range 998.4359, 48641.77;
    String long_name "Pressure";
    String units "millibar";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.924340.1";
    Float64 Easternmost_Easting -28.3522;
    Float64 geospatial_lat_max 38.3003;
    Float64 geospatial_lat_min 38.3003;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -28.3522;
    Float64 geospatial_lon_min -28.3522;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-23T07:59:45Z (local files)
2024-11-23T07:59:45Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924340_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/924340";
    String institution "BCO-DMO";
    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.";
    Float64 Northernmost_Northing 38.3003;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 38.3003;
    String summary "ITAGs were used to measure squid movement dynamics. The sensor package was small (12.5 × 2.6 × 2.7 cm) and was affixed using surgical sutures . Additionally, ITAGs were neutrally buoyant, hydrodynamic, and focal tagged squid exhibited normal swimming and schooling behaviors with other conspecifics. ITAGs contain an inertial measurement unit (IMU) which measures acceleration, magnetic field strength, and angular velocity. These tags were used to measure the swimming behavior or free-ranging animals in the Azores region in November 2021, and May 2023. These data provide movement intensities, behaviors, and allow us to measure the environment including light, temperature, and the animal's depth. Here, we are submitting the tag data from the free-ranging animals in matrix form (.csv).";
    String title "[Squid tag movement data and environmental sampling] - Squid tag movement data and environmental sampling acquired in November 2021 and May 2023 near Faial and Pico Islands, Azores archipelago. (RAPID: Too hot to hold: Effects of unseasonable warming on the Azores nekton community and its keystone taxon)";
    Float64 Westernmost_Easting -28.3522;
  }
}

 

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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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