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Dataset Title:  [Eukaryotic viruses encode the ribosomal protein eL40] - NCBI accession
metadata for Eukaryotic viruses encoding ribosomal protein eL40 from samples
collected on KM1419 and KM1108 from Mar 2011 to Sep 2014 (Giant viruses in the
open ocean: Is large size adaptive where cells are scarce?)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_949101_v1)
Range: longitude = -158.0 to -158.0°E, latitude = 22.45 to 22.75°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 {
  Taxa_name {
    String long_name "Taxa_name";
    String units "units";
  }
  Source_of_sample {
    String long_name "Source_of_sample";
    String units "units";
  }
  Genbank_accession {
    String long_name "Genbank_accession";
    String units "units";
  }
  Bioproject_number {
    String long_name "Bioproject_number";
    String units "units";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 22.45, 22.75;
    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 -158.0, -158.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date_Isolated {
    String long_name "Date_isolated";
    String units "units";
  }
 }
  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.949101.1";
    Float64 Easternmost_Easting -158.0;
    Float64 geospatial_lat_max 22.75;
    Float64 geospatial_lat_min 22.45;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -158.0;
    Float64 geospatial_lon_min -158.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-03-14T22:48:29Z (local files)
2025-03-14T22:48:29Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_949101_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/949101";
    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 22.75;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 22.45;
    String summary 
"This dataset contains sample collection metadata, as well as GenBank accessions and relevant Bioproject numbers for FloV-SA2 samples collected on KM1419 and KM1108 at Station ALOHA from Mar 2011 to Sep 2014.

This study analyzes the genome of FloV-SA2 (phylum Nucleocytoviricota), a cultured marine virus isolated  from open ocean seawater in the Pacific Ocean using a marine microalga strain (UHM3020) in the genus Florenciella (class Dictyochophyceae) as a host. The analysis highlights unique features of the genome, including the encoding of a ribosomal protein (eL40) and a group II viral rhodopsin. The research explores the affiliations and possible origins of these genes, supported by metagenomic and metatranscriptomic data indicating the presence and expression of eL40 in other giant viruses. This study expands the understanding of the metabolic versatility of eukaryoviruses and proposes new mechanisms by which these viruses can manipulate host resources and energy.";
    String title "[Eukaryotic viruses encode the ribosomal protein eL40] - NCBI accession metadata for Eukaryotic viruses encoding ribosomal protein eL40 from samples collected on KM1419 and KM1108 from Mar 2011 to Sep 2014 (Giant viruses in the open ocean: Is large size adaptive where cells are scarce?)";
    Float64 Westernmost_Easting -158.0;
  }
}

 

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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