BCO-DMO ERDDAP
Accessing BCO-DMO data

Make A Graph

Dataset Title:	[Whole genome sequence data for Pisaster ochraceus] - Whole genome sequence data for Pisaster ochranceus samples collected from the Pacific coast of North America from July 2004 to May 2018 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_934772_v1)
Range:	longitude = -135.372 to -118.86°E, latitude = 34.034 to 57.075°N
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:

X Axis:

Y Axis:

Color:

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.

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:

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.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  sample_name {
    String long_name "Sample_name";
    String units "unitless";
  }
  bioproject_accession {
    String long_name "Bioproject_accession";
    String units "unitless";
  }
  bioproject_ncbi {
    String long_name "Bioproject_ncbi";
    String units "unitless";
  }
  assay_type {
    String long_name "Assay_type";
    String units "unitless";
  }
  organism {
    String long_name "Organism";
    String units "unitless";
  }
  isolation_source {
    String long_name "Isolation_source";
    String units "unitless";
  }
  collection_date {
    String long_name "Collection_date";
    String units "unitless";
  }
  iso_collection_date {
    String long_name "Iso_collection_date";
    String units "unitless";
  }
  geo_loc_name {
    String long_name "Geo_loc_name";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 34.034, 57.075;
    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 -135.372, -118.86;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  tissue {
    String long_name "Tissue";
    String units "unitless";
  }
  biomaterial_provider {
    String long_name "Biomaterial_provider";
    String units "unitless";
  }
  collected_by {
    String long_name "Collected_by";
    String units "unitless";
  }
  host_tissue_sampled {
    String long_name "Host_tissue_sampled";
    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.934772.1";
    Float64 Easternmost_Easting -118.86;
    Float64 geospatial_lat_max 57.075;
    Float64 geospatial_lat_min 34.034;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -118.86;
    Float64 geospatial_lon_min -135.372;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-20T17:12:40Z (local files)
2024-12-20T17:12:40Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_934772_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/934772";
    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 57.075;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 34.034;
    String summary "This dataset includes collection and accession information for whole genome sequence (WGS) data from 65 Pisaster ochraceus (ochre sea star) collected across latitudes ranging from SE Alaska to southern California. The sequence data have been deposited into NCBI SRA archive under BioProject PRJNA1117092 and will be publicly available on 2025-08-01. These data are used to evaluate the population genomic diversity and divergence of spatially and environmentally separated populations of Pisaster ochraceus.";
    String title "[Whole genome sequence data for Pisaster ochraceus] - Whole genome sequence data for Pisaster ochranceus samples collected from the Pacific coast of North America from July 2004 to May 2018 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath)";
    Float64 Westernmost_Easting -135.372;
  }
}

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.

(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.

ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact