ERDDAP > tabledap > Data Access Form

Dataset Title:	[Benthic community composition from Heron Island (2015-2020)] - Benthic community composition from Heron Island, southern Great Barrier Reef determined from 2015 to 2020 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_918134_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Year (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2015"	"2020"
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.71	8.18
Transect (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	3
Site (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Deep Lagoon"	"Shallow Lagoon"
Latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		-23.45977	-23.43845
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		151.9292	151.9802
ACR_TCD (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	28.667
ACR_BRA (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	64.167
ACR_PE (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	28.5
POCI (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	8.767
POR_MASS (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	12.833
POR_ENC (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	5.167
POR_BRA (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	3.833
FAV_LOB (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	11.0
Other_hard (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	5.333
Soft_coral (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.833
Giant_Clam (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1.667
Sea_Cuke (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.833
OTH_INV (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	2.833
Macroalgae (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	39.5
Halimeda (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	37.5
Turf_Cyano (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	7.333
CCA_ACA (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	13.0
Sand_Sed (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	83.333
Coral_Rubble (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	32.333
Bleached_coral (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	4.667
Bare_Rock (percent cover (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	46.0
Temperature_mean (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		23.97	24.91
Temperature_max (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		22.118	33.953
Temperature_min (degrees Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		17.48	20.5207
Amplitude (degrees Celsius per day)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.81	4.32
DHW (degrees Celsius per week)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	7.51

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Year depth Transect Site Latitude longitude ACR_TCD ACR_BRA ACR_PE POCI POR_MASS POR_ENC POR_BRA FAV_LOB Other_hard Soft_coral Giant_Clam Sea_Cuke OTH_INV Macroalgae Halimeda Turf_Cyano CCA_ACA Sand_Sed Coral_Rubble Bleached_coral Bare_Rock Temperature_mean Temperature_max Temperature_min Amplitude DHW Year depth Transect Site Latitude longitude ACR_TCD ACR_BRA ACR_PE POCI POR_MASS POR_ENC POR_BRA FAV_LOB Other_hard Soft_coral Giant_Clam Sea_Cuke OTH_INV Macroalgae Halimeda Turf_Cyano CCA_ACA Sand_Sed Coral_Rubble Bleached_coral Bare_Rock Temperature_mean Temperature_max Temperature_min Amplitude DHW Year depth Transect Site Latitude longitude ACR_TCD ACR_BRA ACR_PE POCI POR_MASS POR_ENC POR_BRA FAV_LOB Other_hard Soft_coral Giant_Clam Sea_Cuke OTH_INV Macroalgae Halimeda Turf_Cyano CCA_ACA Sand_Sed Coral_Rubble Bleached_coral Bare_Rock Temperature_mean Temperature_max Temperature_min Amplitude DHW Year depth Transect Site Latitude longitude ACR_TCD ACR_BRA ACR_PE POCI POR_MASS POR_ENC POR_BRA FAV_LOB Other_hard Soft_coral Giant_Clam Sea_Cuke OTH_INV Macroalgae Halimeda Turf_Cyano CCA_ACA Sand_Sed Coral_Rubble Bleached_coral Bare_Rock Temperature_mean Temperature_max Temperature_min Amplitude DHW Year depth Transect Site Latitude longitude ACR_TCD ACR_BRA ACR_PE POCI POR_MASS POR_ENC POR_BRA FAV_LOB Other_hard Soft_coral Giant_Clam Sea_Cuke OTH_INV Macroalgae Halimeda Turf_Cyano CCA_ACA Sand_Sed Coral_Rubble Bleached_coral Bare_Rock Temperature_mean Temperature_max Temperature_min Amplitude DHW ")

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).

(Documentation / Bypass this form )
 
Submit (Please be patient. It may take a while to get the data.)

 

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Year {
    String long_name "Year";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.71, 8.18;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Transect {
    Int32 actual_range 1, 3;
    String long_name "Transect";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  Latitude {
    Float32 actual_range -23.45977, -23.43845;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 151.9292, 151.9802;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  ACR_TCD {
    Float32 actual_range 0.0, 28.667;
    String long_name "Acr_tcd";
    String units "percent cover (%)";
  }
  ACR_BRA {
    Float32 actual_range 0.0, 64.167;
    String long_name "Acr_bra";
    String units "percent cover (%)";
  }
  ACR_PE {
    Float32 actual_range 0.0, 28.5;
    String long_name "Acr_pe";
    String units "percent cover (%)";
  }
  POCI {
    Float32 actual_range 0.0, 8.767;
    String long_name "Poci";
    String units "percent cover (%)";
  }
  POR_MASS {
    Float32 actual_range 0.0, 12.833;
    String long_name "Por_mass";
    String units "percent cover (%)";
  }
  POR_ENC {
    Float32 actual_range 0.0, 5.167;
    String long_name "Por_enc";
    String units "percent cover (%)";
  }
  POR_BRA {
    Float32 actual_range 0.0, 3.833;
    String long_name "Por_bra";
    String units "percent cover (%)";
  }
  FAV_LOB {
    Float32 actual_range 0.0, 11.0;
    String long_name "Fav_lob";
    String units "percent cover (%)";
  }
  Other_hard {
    Float32 actual_range 0.0, 5.333;
    String long_name "Other_hard";
    String units "percent cover (%)";
  }
  Soft_coral {
    Float32 actual_range 0.0, 2.833;
    String long_name "Soft_coral";
    String units "percent cover (%)";
  }
  Giant_Clam {
    Float32 actual_range 0.0, 1.667;
    String long_name "Giant_clam";
    String units "percent cover (%)";
  }
  Sea_Cuke {
    Float32 actual_range 0.0, 2.833;
    String long_name "Sea_cuke";
    String units "percent cover (%)";
  }
  OTH_INV {
    Float32 actual_range 0.0, 2.833;
    String long_name "Oth_inv";
    String units "percent cover (%)";
  }
  Macroalgae {
    Float32 actual_range 0.0, 39.5;
    String long_name "Macroalgae";
    String units "percent cover (%)";
  }
  Halimeda {
    Float32 actual_range 0.0, 37.5;
    String long_name "Halimeda";
    String units "percent cover (%)";
  }
  Turf_Cyano {
    Float32 actual_range 0.0, 7.333;
    String long_name "Turf_cyano";
    String units "percent cover (%)";
  }
  CCA_ACA {
    Float32 actual_range 0.0, 13.0;
    String long_name "Cca_aca";
    String units "percent cover (%)";
  }
  Sand_Sed {
    Float32 actual_range 0.0, 83.333;
    String long_name "Sand_sed";
    String units "percent cover (%)";
  }
  Coral_Rubble {
    Float32 actual_range 0.0, 32.333;
    String long_name "Coral_rubble";
    String units "percent cover (%)";
  }
  Bleached_coral {
    Float32 actual_range 0.0, 4.667;
    String long_name "Bleached_coral";
    String units "percent cover (%)";
  }
  Bare_Rock {
    Float32 actual_range 0.0, 46.0;
    String long_name "Bare_rock";
    String units "percent cover (%)";
  }
  Temperature_mean {
    Float32 actual_range 23.97, 24.91;
    String long_name "Temperature_mean";
    String units "degrees Celsius";
  }
  Temperature_max {
    Float32 actual_range 22.118, 33.953;
    String long_name "Temperature_max";
    String units "degrees Celsius";
  }
  Temperature_min {
    Float32 actual_range 17.48, 20.5207;
    String long_name "Temperature_min";
    String units "degrees Celsius";
  }
  Amplitude {
    Float32 actual_range 0.81, 4.32;
    String long_name "Amplitude";
    String units "degrees Celsius per day";
  }
  DHW {
    Float32 actual_range 0.0, 7.51;
    String long_name "Dhw";
    String units "degrees Celsius per week";
  }
 }
  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.918134.1";
    Float64 Easternmost_Easting 151.9802;
    Float64 geospatial_lon_max 151.9802;
    Float64 geospatial_lon_min 151.9292;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 8.18;
    Float64 geospatial_vertical_min 0.71;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T05:57:44Z (local files)
2024-11-08T05:57:44Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918134_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/918134";
    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 "Increasing ocean temperatures threaten coral reefs globally, but corals residing in habitats that experience high thermal variability are thought to be better adapted to survive climate-induced heat stress. Here, we used long-term ecological observations and in situ temperature data from Heron Island, southern Great Barrier Reef to investigate how temperature dynamics within various thermally variable vs. thermally stable reef habitats change during a marine heatwave and the resulting consequences for coral community survival. This data set includes the benthic community composition data across eight sites at Heron Island, southern Great Barrier Reef.";
    String title "[Benthic community composition from Heron Island (2015-2020)] - Benthic community composition from Heron Island, southern Great Barrier Reef determined from 2015 to 2020 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)";
    Float64 Westernmost_Easting 151.9292;
  }
}

 

---

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.

 

---

ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact