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Dataset Title:  [Cryptic Porites lineage genomic and microbiome data] - Host genome and
microbiome sequencing data for Porites cryptic lineages in classic and extreme
reefs in Palau in November 2021 (Collaborative Research: How do selection,
plasticity, and dispersal interact to determine coral success in warmer and
more variable environments?)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_996942_v1)
Range: longitude = 134.347 to 134.4766°E, latitude = 7.16162 to 7.36722°N
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
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.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
[The graph you specified. Please be patient.]

 

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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Library_Name {
    String long_name "Library_name";
    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 134.347, 134.4766;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Study_Accession {
    String long_name "Study_accession";
    String units "unitless";
  }
  Host_genetic_dataset_accession {
    String long_name "Host_genetic_dataset_accession";
    String units "unitless";
  }
  Experiment_Accession {
    String long_name "Experiment_accession";
    String units "unitless";
  }
  Library_accession_2BRAD {
    String long_name "Library_accession_2brad";
    String units "unitless";
  }
  Microbial_community_data_accession {
    String long_name "Microbial_community_data_accession";
    String units "unitless";
  }
  ITS2_library_biosample {
    String long_name "Its2_library_biosample";
    String units "unitless";
  }
  ITS2_Forward {
    String long_name "Its2_forward";
    String units "unitless";
  }
  ITS2_Reverse {
    String long_name "Its2_reverse";
    String units "unitless";
  }
  Library_biosample_16S {
    String long_name "Library_biosample_16s";
    String units "unitless";
  }
  Forward_16S {
    String long_name "Forward_16s";
    String units "unitless";
  }
  Reverse_16S {
    String long_name "Reverse_16s";
    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.996942.1";
    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 134.347;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-09-01T15:47:21Z (local files)
2026-09-01T15:47:21Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_996942_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/996942";
    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 host genomic and associated microbiome sequence data generated to investigate patterns of cryptic lineage structure, symbiotic diversity, and microbial community composition in reef-building corals (Porites spp.) across environmental gradients. Samples were collected from three classic (typical temperatures) and three extreme (higher temperatures and light attenuation) reef sites in Palau, and processed using high-throughput sequencing approaches to characterize (1) host population genomic variation and (2) taxonomic  diversity of coral-associated microbial communities (Symbiodiniaceae and bacteria). Host genomic data were generated using a 2bRAD approach and analyzed to resolve lineage differentiation. Microbiome communities were characterized through amplicon sequencing, enabling assessment of microbial assemblages associated with distinct host lineages and environmental conditions.";
    String title "[Cryptic Porites lineage genomic and microbiome data] - Host genome and microbiome sequencing data for Porites cryptic lineages in classic and extreme reefs in Palau in November 2021 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?)";
    Float64 Westernmost_Easting 134.347;
  }
}

 

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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