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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)
Range:	longitude = 134.3492 to 134.4766°E, latitude = 7.16162 to 7.36722°N
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  Day ID Bin latitude longitude Fv_Fm_1 Fv_Fm_2 Fv_Fm_3 Average Average2 grey_intensity Y Axis:  Day ID Bin latitude longitude Fv_Fm_1 Fv_Fm_2 Fv_Fm_3 Average Average2 grey_intensity Color:  Day ID Bin latitude longitude Fv_Fm_1 Fv_Fm_2 Fv_Fm_3 Average Average2 grey_intensity   Constraints Optional Constraint #1 Optional Constraint #2 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     != =~ <= >= = < >     != =~ <= >= = < >   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 ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Draw land mask:  under over outline off Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Click on the map to specify a new center point. Zoom:

 

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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

• Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
• Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.
   

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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 
"2026-09-02T12:10:12Z (local files)
2026-09-02T12:10:12Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_997032_v1.das";
    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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