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Dataset Title:  [In situ seawater temperature at Heron Island (2015-2020)] - Measurements of
seawater temperature, depth, and photosynthetically active radiation (PAR)
across seven sites at Heron Island, southern Great Barrier Reef from 2015 to
2020 (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_918182_v1)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 ISO_DateTime_AEST (unitless) ?          "2015-07-24T18:00"    "2020-08-16T21:37"
 time (Iso_datetime_utc, UTC) ?          2015-07-24T08:00:00Z    2020-08-16T11:37:00Z
  < slider >
 Site (unitless) ?          "DL"    "SL"
 Latitude (degrees_north) ?          -23.45977    -23.4395
 longitude (degrees_east) ?          151.9292    151.9802
  < slider >
 Date_AEST (unitless) ?          "01-01-16"    "12-31-19"
 depth (m) ?          -17.376    16.386
  < slider >
 PAR (micromoles quanta per square meter per second (umol quanta m-2 s-1)) ?          0.0    9999.0
 Temperature (degrees Celsius) ?          16.3412    36.4895
 
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 {
  ISO_DateTime_AEST {
    String long_name "Iso_datetime_aest";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4377248e+9, 1.59757782e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Site {
    String long_name "Site";
    String units "unitless";
  }
  Latitude {
    Float32 actual_range -23.45977, -23.4395;
    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";
  }
  Date_AEST {
    String long_name "Date_aest";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range -17.376, 16.386;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  PAR {
    Float32 actual_range 0.0, 9999.0;
    String long_name "Par";
    String units "micromoles quanta per square meter per second (umol quanta m-2 s-1)";
  }
  Temperature {
    Float32 actual_range 16.3412, 36.4895;
    String long_name "Temperature";
    String units "degrees Celsius";
  }
 }
  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.918182.1";
    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 16.386;
    Float64 geospatial_vertical_min -17.376;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-21T09:13:16Z (local files)
2024-11-21T09:13:16Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918182_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/918182";
    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 in-field measurements of seawater temperature, depth, and photosynthetically active radiation (PAR) across seven sites at Heron Island, southern Great Barrier Reef.";
    String time_coverage_end "2020-08-16T11:37:00Z";
    String time_coverage_start "2015-07-24T08:00:00Z";
    String title "[In situ seawater temperature at Heron Island (2015-2020)] - Measurements of seawater temperature, depth, and photosynthetically active radiation (PAR) across seven sites at Heron Island, southern Great Barrier Reef 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 (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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