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Dataset Title:  [Short-term heat stress assay Heron Island - physiological data] -
Photochemical yield and color score data from short-term heat stress assays
performed with with corals collected from sites around Heron Island, southern
Great Barrier Reef in Sept and Oct of 2022 (Influence of environmental pH
variability and thermal sensitivity on the resilience of reef-building corals
to acidification stress)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_926887_v1)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Site_Code (unitless) ?          "DL"    "SL"
 Site_Name (unitless) ?          "Deep Lagoon"    "Shallow Lagoon"
 latitude (degrees_north) ?          -23.45972    -23.4395
  < slider >
 longitude (degrees_east) ?          151.9295    151.9802
  < slider >
 Genus (unitless) ?          "Acropora"    "Porites"
 ColonyID (unitless) ?          "DL01"    "SL20"
 Treatment_nonnum (unitless) ?          "Ambient"    "T4"
 Treatment (unitless) ?          "1"    "5"
 Replicate (unitless) ?          1    3
 Temperature (degrees Celsius (degC)) ?          23.0    36.3
 F0 (unitless) ?          8    1208
 Fm (unitless) ?          21    1698
 Y (unitless) ?          0.0    0.737
 Label (unitless) ?          "DL_Poc_T1_DL01.jpg..."    "SL_Por_T4_SL20.jpg..."
 Color_type (unitless) ?          "RGB"    "RGB"
 Color (unitless) ?          "R"    "R"
 Name (unitless) ?          "DL_Poc_T1_DL01.jpg..."    "SL_Por_T4_SL20.jpg..."
 Area1 (square pixels) ?          68058    2849684
 Mean_frag (unitless) ?          24.851    173.062
 StdDev1 (unitless) ?          5.547    32.404
 Mode1 (unitless) ?          17.0    180.0
 MinThr1 (unitless) ?          0.0    0.0
 MaxThr1 (unitless) ?          255.0    255.0
 Label_match (unitless) ?          "DL_Poc_T1_DL01"    "SL_Por_T4_SL20"
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

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


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Site_Code {
    String long_name "Site_code";
    String units "unitless";
  }
  Site_Name {
    String long_name "Site_name";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -23.45972, -23.4395;
    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 151.9295, 151.9802;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Genus {
    String long_name "Genus";
    String units "unitless";
  }
  ColonyID {
    String long_name "Colonyid";
    String units "unitless";
  }
  Treatment_nonnum {
    String long_name "Treatment_nonnum";
    String units "unitless";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  Replicate {
    Int32 actual_range 1, 3;
    String long_name "Replicate";
    String units "unitless";
  }
  Temperature {
    Float32 actual_range 23.0, 36.3;
    String long_name "Temperature";
    String units "degrees Celsius (degC)";
  }
  F0 {
    Int32 actual_range 8, 1208;
    String long_name "F0";
    String units "unitless";
  }
  Fm {
    Int32 actual_range 21, 1698;
    String long_name "Fm";
    String units "unitless";
  }
  Y {
    Float32 actual_range 0.0, 0.737;
    String long_name "Y";
    String units "unitless";
  }
  Label {
    String long_name "Label";
    String units "unitless";
  }
  Color_type {
    String long_name "Color_type";
    String units "unitless";
  }
  Color {
    String long_name "Color";
    String units "unitless";
  }
  Name {
    String long_name "Name";
    String units "unitless";
  }
  Area1 {
    Int32 actual_range 68058, 2849684;
    String long_name "Area1";
    String units "square pixels";
  }
  Mean_frag {
    Float32 actual_range 24.851, 173.062;
    String long_name "Mean_frag";
    String units "unitless";
  }
  StdDev1 {
    Float32 actual_range 5.547, 32.404;
    String long_name "Stddev1";
    String units "unitless";
  }
  Mode1 {
    Float32 actual_range 17.0, 180.0;
    String long_name "Mode1";
    String units "unitless";
  }
  MinThr1 {
    Float32 actual_range 0.0, 0.0;
    String long_name "Minthr1";
    String units "unitless";
  }
  MaxThr1 {
    Float32 actual_range 255.0, 255.0;
    String long_name "Maxthr1";
    String units "unitless";
  }
  Label_match {
    String long_name "Label_match";
    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.926887.1";
    Float64 Easternmost_Easting 151.9802;
    Float64 geospatial_lat_max -23.4395;
    Float64 geospatial_lat_min -23.45972;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 151.9802;
    Float64 geospatial_lon_min 151.9295;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-14T05:49:51Z (local files)
2024-11-14T05:49:51Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926887_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/926887";
    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 -23.4395;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -23.45972;
    String summary "Variable temperature regimes that expose corals to sub-lethal heat stress have been recognized as a mechanism to increase coral thermal tolerance and lessen coral bleaching. However, there is a need to better understand which thermal regimes maximize coral stress hardening. Here, standardized thermal stress assays were used to determine the relative thermal tolerance of three divergent genera of corals (Acropora, Pocillopora, Porites) originating from six reef sites representing an increasing gradient of annual mean diel temperature fluctuations of 1–3°C day-1. Bleaching severity and dark-acclimated photochemical yield (i.e., Fv/Fm) were quantified following exposure to five temperature treatments ranging from 23.0 to 36.3°C (see Related Datasets for temperature data). This data set contains photochemical yield and color score data used to determine effective dose 50 (ED50, thermal tolerance). It also includes images used for analysis of coral color, a proxy for bleaching severity.";
    String title "[Short-term heat stress assay Heron Island -  physiological data] - Photochemical yield and color score data from short-term heat stress assays performed with with corals collected from sites around Heron Island, southern Great Barrier Reef  in Sept and Oct of 2022 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)";
    Float64 Westernmost_Easting 151.9295;
  }
}

 

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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 (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

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.

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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