ERDDAP > tabledap > Data Access Form

Dataset Title:	[Kāneʻohe Bay halos - fish surveys] - Fish community surveys at artificial reefs in Kāneʻohe Bay, Oʻahu conducted in 2022 and 2023 as part of a reef halo dynamics study (CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_985611_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Date_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2022-08-24"	"2023-12-04"
Month_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	12
Year_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2022	2023
Time_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"01:00"	"13:50"
Timezone_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"HST"	"HST"
Tide (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Falling"	"Rising"
Site (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"R1"	"R3"
Scientific_Name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Abudefduf abdomina..."	"Zebrasoma flavescens"
Common_Name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Agile Chromis"	"Yellow Tang"
Family (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Butterflyfish"	"Wrasse"
Size_cm (centimeters (cm))	!= =~ <= >= = < >		!= =~ <= >= = < >		1	25
Number (count per individual)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	30
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		21.46401	21.46428
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-157.8068	-157.8064
time (Iso_datetime_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2022-08-24T23:00:00Z	2023-12-04T17:45:00Z

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Date_local Month_local Year_local Time_local Timezone_local Tide Site Scientific_Name Common_Name Family Size_cm Number latitude longitude time Date_local Month_local Year_local Time_local Timezone_local Tide Site Scientific_Name Common_Name Family Size_cm Number latitude longitude time Date_local Month_local Year_local Time_local Timezone_local Tide Site Scientific_Name Common_Name Family Size_cm Number latitude longitude time Date_local Month_local Year_local Time_local Timezone_local Tide Site Scientific_Name Common_Name Family Size_cm Number latitude longitude time Date_local Month_local Year_local Time_local Timezone_local Tide Site Scientific_Name Common_Name Family Size_cm Number latitude longitude time ")

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 {
  Date_local {
    String long_name "Date_local";
    String units "unitless";
  }
  Month_local {
    Int32 actual_range 1, 12;
    String long_name "Month_local";
    String units "unitless";
  }
  Year_local {
    Int32 actual_range 2022, 2023;
    String long_name "Year_local";
    String units "unitless";
  }
  Time_local {
    String long_name "Time_local";
    String units "unitless";
  }
  Timezone_local {
    String long_name "Timezone_local";
    String units "unitless";
  }
  Tide {
    String long_name "Tide";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  Scientific_Name {
    String long_name "Scientific_name";
    String units "unitless";
  }
  Common_Name {
    String long_name "Common_name";
    String units "unitless";
  }
  Family {
    String long_name "Family";
    String units "unitless";
  }
  Size_cm {
    Int32 actual_range 1, 25;
    String long_name "Size_cm";
    String units "centimeters (cm)";
  }
  Number {
    Int32 actual_range 1, 30;
    String long_name "Number";
    String units "count per individual";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 21.46401, 21.46428;
    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 -157.8068, -157.8064;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.661382e+9, 1.7017119e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  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 defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.985611.1";
    Float64 Easternmost_Easting -157.8064;
    Float64 geospatial_lat_max 21.46428;
    Float64 geospatial_lat_min 21.46401;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -157.8064;
    Float64 geospatial_lon_min -157.8068;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-11-25T19:05:10Z (local files)
2025-11-25T19:05:10Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_985611_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/985611";
    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 21.46428;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 21.46401;
    String summary "The goal of this dataset was to survey the reef fish communities at three artificial reefs constructed in Kāneʻohe Bay, Oʻahu, Hawaiʻi from August 2022-December 2023. Fish community surveys were conducted monthly. Surveys were conducted by the same observer each time who would sit ~3m away from the reef to minimize disturbance, and record all fish seen within 1m of the reef for three minutes. After that time, the observer would move to the reef and attempt for another two minutes to record any fish that may not have been initially visible. This was repeated at each of the three artificial reefs.";
    String time_coverage_end "2023-12-04T17:45:00Z";
    String time_coverage_start "2022-08-24T23:00:00Z";
    String title "[Kāneʻohe Bay halos - fish surveys] - Fish community surveys at artificial reefs in Kāneʻohe Bay, Oʻahu conducted in 2022 and 2023 as part of a reef halo dynamics study (CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales)";
    Float64 Westernmost_Easting -157.8068;
  }
}

 

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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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