ERDDAP > tabledap > Make A Graph

Dataset Title:	[Arctic Bacterial Genomes] - Under the ice bacterial cultures and genome sequences from the R/V Kronprins Haakon in the Arctic Ocean from May 18 to 21, 2023 (Collaborative Research: Drivers and effects of latent phage activation in marine SAR11)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_965379_v1)
Range:	longitude = 10.62 to 10.62°E, latitude = 81.04 to 81.04°N
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  latitude longitude genome_length sequencing_covearge pcnt_gc coding_ratio rRNA Y Axis:  latitude longitude genome_length sequencing_covearge pcnt_gc coding_ratio rRNA Color:  latitude longitude genome_length sequencing_covearge pcnt_gc coding_ratio rRNA   Constraints Optional Constraint #1 Optional Constraint #2 isolate Date latitude longitude id genome_length sequencing_covearge pcnt_gc coding_ratio rRNA genome_accession bioproject biosample sequence_read_archive     != =~ <= >= = < >     != =~ <= >= = < > isolate Date latitude longitude id genome_length sequencing_covearge pcnt_gc coding_ratio rRNA genome_accession bioproject biosample sequence_read_archive     != =~ <= >= = < >     != =~ <= >= = < > isolate Date latitude longitude id genome_length sequencing_covearge pcnt_gc coding_ratio rRNA genome_accession bioproject biosample sequence_read_archive     != =~ <= >= = < >     != =~ <= >= = < > isolate Date latitude longitude id genome_length sequencing_covearge pcnt_gc coding_ratio rRNA genome_accession bioproject biosample sequence_read_archive     != =~ <= >= = < >     != =~ <= >= = < > isolate Date latitude longitude id genome_length sequencing_covearge pcnt_gc coding_ratio rRNA genome_accession bioproject biosample sequence_read_archive     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" isolate Date latitude longitude id genome_length sequencing_covearge pcnt_gc coding_ratio rRNA genome_accession bioproject biosample sequence_read_archive isolate Date latitude longitude id genome_length sequencing_covearge pcnt_gc coding_ratio rRNA genome_accession bioproject biosample sequence_read_archive isolate Date latitude longitude id genome_length sequencing_covearge pcnt_gc coding_ratio rRNA genome_accession bioproject biosample sequence_read_archive isolate Date latitude longitude id genome_length sequencing_covearge pcnt_gc coding_ratio rRNA genome_accession bioproject biosample sequence_read_archive ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Draw land mask:  under over outline off Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Click on the map to specify a new center point. Zoom:

 

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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.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  isolate {
    String long_name "Isolate";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 81.04, 81.04;
    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 10.62, 10.62;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  id {
    String long_name "Id";
    String units "unitless";
  }
  genome_length {
    Int32 actual_range 1288290, 3786980;
    String long_name "Genome_length";
    String units "number of nucleotides";
  }
  sequencing_covearge {
    Int32 actual_range 11, 352;
    String long_name "Sequencing_covearge";
    String units "unitless";
  }
  pcnt_gc {
    Float32 actual_range 29.0, 52.0;
    String long_name "Pcnt_gc";
    String units "unitless";
  }
  coding_ratio {
    Float32 actual_range 84.5, 95.9;
    String long_name "Coding_ratio";
    String units "unitless";
  }
  rRNA {
    Int32 actual_range 3, 12;
    String long_name "Rrna";
    String units "unitless";
  }
  genome_accession {
    String long_name "Genome_accession";
    String units "unitless";
  }
  bioproject {
    String long_name "Bioproject";
    String units "unitless";
  }
  biosample {
    String long_name "Biosample";
    String units "unitless";
  }
  sequence_read_archive {
    String long_name "Sequence_read_archive";
    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.965379.1";
    Float64 Easternmost_Easting 10.62;
    Float64 geospatial_lat_max 81.04;
    Float64 geospatial_lat_min 81.04;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 10.62;
    Float64 geospatial_lon_min 10.62;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-06-24T08:01:08Z (local files)
2025-06-24T08:01:08Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_965379_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/965379";
    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 81.04;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 81.04;
    String summary "Bacteria were cultured and sequenced from the Arctic Ocean under 2-meter-thick sea ice to identify patterns of gene, loss, and rearrangement. Cultures were obtained by high-throughput dilution to extinction cultivation using cryopreserved samples. Bacteria selected for genome sequencing were grown in 1 liter of Puget Sound seawater media and sequenced using the Oxford Nanopore Technologies (ONT) R10.4.1 Flongle flow cells with the SQK-RAD114 rapid library prep kit (Oxford Nanopore Technologies, Oxford, United Kingdom). Time-series data indicate that this collection represents up to 60% of the marine bacterial community in the Arctic. Their complete genomes provide insights into the evolutionary processes that underlie diversity and adaptation to the Arctic Ocean.";
    String title "[Arctic Bacterial Genomes] - Under the ice bacterial cultures and genome sequences from the R/V Kronprins Haakon in the Arctic Ocean from May 18 to 21, 2023 (Collaborative Research: Drivers and effects of latent phage activation in marine SAR11)";
    Float64 Westernmost_Easting 10.62;
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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.

 

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