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Dataset Title:	[PDAM settlement data] - Pocillopora damicornis coral settlement counts in presence of different concentrations of crustose coralline algae powder in Maui, Hawaii (June 2024) (A Field-Ready Playback System for Eco-Acoustic and Settlement Studies)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_995760_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
experiment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	2
duration (hrs)	!= =~ <= >= = < >		!= =~ <= >= = < >		24	48
mg_cca (mg)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	300
larvae_added (larvae)	!= =~ <= >= = < >		!= =~ <= >= = < >		20	20
lid (larvae)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
stilt (larvae)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	2
cup (larvae)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	17
cca_chunks (larvae)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	17
swimming (larvae)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	21
settled (larvae)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	20
dead (larvae)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	5
total_present (larvae)	!= =~ <= >= = < >		!= =~ <= >= = < >		13	21
score_date_local (day)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2024-06-24"	"2024-06-26"
score_time_local (hour)	!= =~ <= >= = < >		!= =~ <= >= = < >		"13:00"	"16:30"
notes (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1 dead swimming"	"Three settled in a..."

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" experiment duration mg_cca larvae_added lid stilt cup cca_chunks swimming settled dead total_present score_date_local score_time_local notes experiment duration mg_cca larvae_added lid stilt cup cca_chunks swimming settled dead total_present score_date_local score_time_local notes experiment duration mg_cca larvae_added lid stilt cup cca_chunks swimming settled dead total_present score_date_local score_time_local notes experiment duration mg_cca larvae_added lid stilt cup cca_chunks swimming settled dead total_present score_date_local score_time_local notes experiment duration mg_cca larvae_added lid stilt cup cca_chunks swimming settled dead total_present score_date_local score_time_local notes ")

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 {
  experiment {
    Int32 actual_range 1, 2;
    String long_name "Experiment";
    String units "unitless";
  }
  duration {
    Int32 actual_range 24, 48;
    String long_name "Duration";
    String units "hrs";
  }
  mg_cca {
    Int32 actual_range 0, 300;
    String long_name "Mg_cca";
    String units "mg";
  }
  larvae_added {
    Int32 actual_range 20, 20;
    String long_name "Larvae_added";
    String units "larvae";
  }
  lid {
    Int32 actual_range 0, 1;
    String long_name "Lid";
    String units "larvae";
  }
  stilt {
    Int32 actual_range 0, 2;
    String long_name "Stilt";
    String units "larvae";
  }
  cup {
    Int32 actual_range 0, 17;
    String long_name "Cup";
    String units "larvae";
  }
  cca_chunks {
    Int32 actual_range 0, 17;
    String long_name "Cca_chunks";
    String units "larvae";
  }
  swimming {
    Int32 actual_range 0, 21;
    String long_name "Swimming";
    String units "larvae";
  }
  settled {
    Int32 actual_range 0, 20;
    String long_name "Settled";
    String units "larvae";
  }
  dead {
    Int32 actual_range 0, 5;
    String long_name "Dead";
    String units "larvae";
  }
  total_present {
    Int32 actual_range 13, 21;
    String long_name "Total_present";
    String units "larvae";
  }
  score_date_local {
    String long_name "Score_date_local";
    String units "day";
  }
  score_time_local {
    String long_name "Score_time_local";
    String units "hour";
  }
  notes {
    String long_name "Notes";
    String units "unitless";
  }
 }
  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.995760.1";
    String history 
"2026-04-24T19:32:56Z (local files)
2026-04-24T19:32:56Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995760_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/995760";
    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.";
    String sourceUrl "(local files)";
    String summary "These data include larval settlement counts recorded from experiments conducted at the Maui Ocean Center in Maui, Hawaii from June 23-26, 2024. The purpose of these experiments was to evaluate the feasibility of using crushed crustose coralline algae (CCA), in powder form, to induce greater coral settlement rates in an aquaria setting. Larvae of the brooding coral Pocillopora damicornis were collected from spawning colonies and placed in experimental cups filled with approximately 120 ml of FSW and a designated weight of dried crushed CCA. Settlement counts were recorded after 24-48 hours. These data were collected by Isha Goyal under the supervision of Dr. Aran Mooney of Woods Hole Oceanographic Institution.";
    String title "[PDAM settlement data] - Pocillopora damicornis coral settlement counts in presence of different concentrations of crustose coralline algae powder in Maui, Hawaii (June 2024) (A Field-Ready Playback System for Eco-Acoustic and Settlement Studies)";
  }
}

 

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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.
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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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