BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  [Gulf of Alaska copepods: annotated transcriptomes] - Annotated de novo
transcriptomes generated from six co-occurring species of calanoid copepods
from the R/V Tiglax TXF18, TXS19, TXF15, TXF17 in the Gulf of Alaska from 2015-
2019 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods
through Strategic Timing of Reproduction and Growth in the Gulf of Alaska)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_908689_v1)
Range: longitude = -149.4667 to -147.6667°E, latitude = 59.845 to 60.6667°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 {
  seq_id {
    String long_name "Seq_id";
    String units "unitless";
  }
  Genbank_accession {
    String long_name "Genbank_accession";
    String units "unitless";
  }
  Species {
    String long_name "Species";
    String units "unitless";
  }
  Station {
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 59.845, 60.6667;
    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 -149.4667, -147.6667;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Collection_date {
    String long_name "Collection_date";
    String units "unitless";
  }
  Depth_range {
    String long_name "Depth_range";
    String units "meters (m)";
  }
  Life_stage {
    String long_name "Life_stage";
    String units "unitless";
  }
  Sex {
    String long_name "Sex";
    String units "unitless";
  }
  Entry {
    String long_name "Entry";
    String units "unitless";
  }
  Entry_name {
    String long_name "Entry_name";
    String units "unitless";
  }
  evalue {
    String long_name "Evalue";
    String units "unitless";
  }
  Protein_names {
    String long_name "Protein_names";
    String units "unitless";
  }
  Gene_names {
    String long_name "Gene_names";
    String units "unitless";
  }
  Organism {
    String long_name "Organism";
    String units "unitless";
  }
  Cross_reference_KEGG {
    String long_name "Cross_reference_kegg";
    String units "unitless";
  }
  Gene_ontology_IDs {
    String long_name "Gene_ontology_ids";
    String units "unitless";
  }
  Gene_ontology_GO {
    String long_name "Gene_ontology_go";
    String units "unitless";
  }
  Gene_ontology_biological_process {
    String long_name "Gene_ontology_biological_process";
    String units "unitless";
  }
  Gene_ontology_cellular_component {
    String long_name "Gene_ontology_cellular_component";
    String units "unitless";
  }
  Gene_ontology_molecular_function {
    String long_name "Gene_ontology_molecular_function";
    String units "unitless";
  }
  BioProject {
    String long_name "Bioproject";
    String units "unitless";
  }
  TSA_Master_Accession {
    String long_name "Tsa_master_accession";
    String units "unitless";
  }
  Study_Accession {
    String long_name "Study_accession";
    String units "unitless";
  }
  Study_Title {
    String long_name "Study_title";
    String units "unitless";
  }
  Experiement_Accession {
    String long_name "Experiement_accession";
    String units "unitless";
  }
  Experiment_Title {
    String long_name "Experiment_title";
    String units "unitless";
  }
  SRA_Accession {
    String long_name "Sra_accession";
    String units "unitless";
  }
  BioSample {
    String long_name "Biosample";
    String units "unitless";
  }
  Sample_Accession {
    String long_name "Sample_accession";
    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.908689.1";
    Float64 Easternmost_Easting -147.6667;
    Float64 geospatial_lat_max 60.6667;
    Float64 geospatial_lat_min 59.845;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -147.6667;
    Float64 geospatial_lon_min -149.4667;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-08T06:00:10Z (local files)
2024-11-08T06:00:10Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_908689_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/908689";
    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 60.6667;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 59.845;
    String summary 
"The dataset includes the annotation files of nine high-quality de novo transcriptomes generated from shotgun assemblies of short-sequence reads. The species are ecologically-important members of sub-arctic North Pacific marine zooplankton communities. The de novo assemblies included one generated several years ago plus eight new ones generated from six co-occurring species of calanoid copepods in the Gulf of Alaska. The transcriptomes include the first published ones for Neocalanus plumchrus, Neocalanus cristatus, Eucalanus bungii and Metridia pacifica and three for Neocalanus flemingeri and two for Calanus marshallae. Total RNA from single individuals was used to construct gene libraries that were sequenced on an Illumina Next-Seq platform. Short-sequence reads were assembled with Trinity software and resulting transcripts were annotated using the SwissProt database with additional functional annotation using gene ontology terms and enzyme function. The annotations files are the first ones published for these species. The integrated dataset can be used for quantitative inter- and intra-species comparisons of gene expression patterns across biological processes using the annotations.

These data are further described in the following publications: Hartline, et al. (2023) (DOI: 10.1038/s41597-023-02130-1), Roncalli, et al. (2022) (DOI: 10.1111/mec.16354), and Roncalli, et al. (2019) (DOI: 10.1038/s42003-019-0565-5)";
    String title "[Gulf of Alaska copepods: annotated transcriptomes] - Annotated de novo transcriptomes generated from six co-occurring species of calanoid copepods from the R/V Tiglax TXF18, TXS19, TXF15, TXF17 in the Gulf of Alaska from 2015-2019 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska)";
    Float64 Westernmost_Easting -149.4667;
  }
}

 

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.


 
ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact