ERDDAP > tabledap > Data Access Form

Dataset Title:	[Stress responses of cryptic corals] - Thermal tolerance and photophysiology in cryptic porites lineages in Palau in 2022 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_997032_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2022-04-26"	"2022-05-21"
Day (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	25
ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		11	97
Treatment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"C"	"H"
Bin (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	3
ITS2 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"C15-C15by-C15er"	"Undetermined"
Site (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Mecherchar"	"Taoch"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.16162	7.36722
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		134.3492	134.4766
Type (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Classic"	"Extreme"
Lineage (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"L1"	"L3"
Fv_Fm_1 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	735
Fv_Fm_2 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		214	729
Fv_Fm_3 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	692
Average (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		245.33	678.33
Average2 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.24533	0.67833
grey_intensity (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		23.17488	88.82323
Live_dead (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Dead"	"Live"

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Date Day ID Treatment Bin ITS2 Site latitude longitude Type Lineage Fv_Fm_1 Fv_Fm_2 Fv_Fm_3 Average Average2 grey_intensity Live_dead Date Day ID Treatment Bin ITS2 Site latitude longitude Type Lineage Fv_Fm_1 Fv_Fm_2 Fv_Fm_3 Average Average2 grey_intensity Live_dead Date Day ID Treatment Bin ITS2 Site latitude longitude Type Lineage Fv_Fm_1 Fv_Fm_2 Fv_Fm_3 Average Average2 grey_intensity Live_dead Date Day ID Treatment Bin ITS2 Site latitude longitude Type Lineage Fv_Fm_1 Fv_Fm_2 Fv_Fm_3 Average Average2 grey_intensity Live_dead Date Day ID Treatment Bin ITS2 Site latitude longitude Type Lineage Fv_Fm_1 Fv_Fm_2 Fv_Fm_3 Average Average2 grey_intensity Live_dead ")

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 )
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Day {
    Int32 actual_range 0, 25;
    String long_name "Day";
    String units "unitless";
  }
  ID {
    Int32 actual_range 11, 97;
    String long_name "Id";
    String units "unitless";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  Bin {
    Int32 actual_range 1, 3;
    String long_name "Bin";
    String units "unitless";
  }
  ITS2 {
    String long_name "Its2";
    String units "unitless";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 7.16162, 7.36722;
    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 134.3492, 134.4766;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Type {
    String long_name "Type";
    String units "unitless";
  }
  Lineage {
    String long_name "Lineage";
    String units "unitless";
  }
  Fv_Fm_1 {
    Int32 actual_range 0, 735;
    String long_name "Fv_fm_1";
    String units "unitless";
  }
  Fv_Fm_2 {
    Int32 actual_range 214, 729;
    String long_name "Fv_fm_2";
    String units "unitless";
  }
  Fv_Fm_3 {
    Int32 actual_range 0, 692;
    String long_name "Fv_fm_3";
    String units "unitless";
  }
  Average {
    Float32 actual_range 245.33, 678.33;
    String long_name "Average";
    String units "unitless";
  }
  Average2 {
    Float32 actual_range 0.24533, 0.67833;
    String long_name "Average2";
    String units "unitless";
  }
  grey_intensity {
    Float32 actual_range 23.17488, 88.82323;
    String long_name "Grey_intensity";
    String units "unitless";
  }
  Live_dead {
    String long_name "Live_dead";
    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.997032.1";
    Float64 Easternmost_Easting 134.4766;
    Float64 geospatial_lat_max 7.36722;
    Float64 geospatial_lat_min 7.16162;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 134.4766;
    Float64 geospatial_lon_min 134.3492;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-09-02T12:10:10Z (local files)
2026-09-02T12:10:10Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997032_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/997032";
    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 7.36722;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 7.16162;
    String summary "This dataset contains coral bleaching, photochemical efficiency (Fv/Fm), and mortality data collected during a controlled thermal stress experiment on cryptic lineages of massive Porites corals from Palau, Micronesia. Coral colonies representing three genetically distinct lineages were collected from classic and extreme reef environments and fragmented for a 25-day common-garden heat challenge. Fragments were held in flow-through aquaria under control or elevated temperature regimes that simulated natural warming and acute heatwave conditions. Photosystem II photochemical efficiency (Fv/Fm) was measured daily or semi-daily after dark acclimation to quantify symbiont photosynthetic stress. Bleaching was assessed from standardized photographs analyzed for changes in colony coloration (paling) through time, and fragment survival was monitored throughout the experiment. These data provide a high-resolution time series of physiological and demographic responses to heat stress, enabling comparisons of thermal tolerance among cryptic coral lineages that dominate extreme reef habitats. This dataset supports research on coral resilience, thermal adaptation, and holobiont physiology under climate-driven warming and is associated with the manuscript \"Holobiont traits shape climate change responses in cryptic coral lineages\" (Grupstra et al., 2024, Global Change Biology).";
    String title "[Stress responses of cryptic corals] - Thermal tolerance and photophysiology in cryptic porites lineages in Palau in 2022 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?)";
    Float64 Westernmost_Easting 134.3492;
  }
}

 

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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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