ERDDAP > tabledap > Data Access Form

Dataset Title:	[Diopatra SNPs (SRA)] - Decorator worm Diopatra cuprea single nucleotide polymorphism (SNP) genotypes from collections in the Gulf of Mexico and eastern United States estuaries from 2009 to 2022 (The genetic legacy of an Asian oyster introduction and its disease-causing parasite)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_998297_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
year_collected (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2009	2022
sample_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"BBHS01"	"WBHS63"
pop_defined (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Amelia Island"	"Winyah Bay"
geographic_location (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"USA:Amelia Island ..."	"USA:Winyah Bay Sou..."
state_name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Florida"	"Virginia"
estuary_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Coastal"	"Inland"
mt_haplotype (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Hap_1"	"Hap_8"
mt_hap_group (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A"	"D"
mt_hap_subgroup (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A1"	"D"
collector (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Bell"	"Ziegler"
SRA_Run (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"SRR28782606"	"SRR28782838"
SRA_Study (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"SRP503620"	"SRP503620"
version (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
BioSample (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"SAMN41062329"	"SAMN41062561"
latitude (Site_lat, degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		27.4575	42.04647
longitude (Site_lon, degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-84.51061	-69.99714
sites_collector (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Bell"	"Ziegler"
Assay_Type (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"RAD-Seq"	"RAD-Seq"
AvgSpotLen (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		84	86
Bases (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		2039140	596123063
BioProject (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"PRJNA1103840"	"PRJNA1103840"
BioSampleModel (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Invertebrate"	"Invertebrate"
Bytes (bytes)	!= =~ <= >= = < >		!= =~ <= >= = < >		727391	198421887
Experiment (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"SRX24347155"	"SRX24347387"
Instrument (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Illumina NovaSeq 6..."	"Illumina NovaSeq 6..."
isolate (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	233
isolation_source (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"estuary"	"estuary"
Library_Name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	233
LibraryLayout (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"SINGLE"	"SINGLE"
LibrarySelection (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Restriction Digest"	"Restriction Digest"
LibrarySource (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"GENOMIC"	"GENOMIC"
Organism (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Diopatra cuprea"	"Diopatra cuprea"
Platform (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"ILLUMINA"	"ILLUMINA"
tissue (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"body"	"body"

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" year_collected sample_id pop_defined geographic_location state_name estuary_local mt_haplotype mt_hap_group mt_hap_subgroup collector SRA_Run SRA_Study version BioSample latitude longitude sites_collector Assay_Type AvgSpotLen Bases BioProject BioSampleModel Bytes Experiment Instrument isolate isolation_source Library_Name LibraryLayout LibrarySelection LibrarySource Organism Platform tissue year_collected sample_id pop_defined geographic_location state_name estuary_local mt_haplotype mt_hap_group mt_hap_subgroup collector SRA_Run SRA_Study version BioSample latitude longitude sites_collector Assay_Type AvgSpotLen Bases BioProject BioSampleModel Bytes Experiment Instrument isolate isolation_source Library_Name LibraryLayout LibrarySelection LibrarySource Organism Platform tissue year_collected sample_id pop_defined geographic_location state_name estuary_local mt_haplotype mt_hap_group mt_hap_subgroup collector SRA_Run SRA_Study version BioSample latitude longitude sites_collector Assay_Type AvgSpotLen Bases BioProject BioSampleModel Bytes Experiment Instrument isolate isolation_source Library_Name LibraryLayout LibrarySelection LibrarySource Organism Platform tissue year_collected sample_id pop_defined geographic_location state_name estuary_local mt_haplotype mt_hap_group mt_hap_subgroup collector SRA_Run SRA_Study version BioSample latitude longitude sites_collector Assay_Type AvgSpotLen Bases BioProject BioSampleModel Bytes Experiment Instrument isolate isolation_source Library_Name LibraryLayout LibrarySelection LibrarySource Organism Platform tissue year_collected sample_id pop_defined geographic_location state_name estuary_local mt_haplotype mt_hap_group mt_hap_subgroup collector SRA_Run SRA_Study version BioSample latitude longitude sites_collector Assay_Type AvgSpotLen Bases BioProject BioSampleModel Bytes Experiment Instrument isolate isolation_source Library_Name LibraryLayout LibrarySelection LibrarySource Organism Platform tissue ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  year_collected {
    Int32 actual_range 2009, 2022;
    String long_name "Year_collected";
    String units "unitless";
  }
  sample_id {
    String long_name "Sample_id";
    String units "unitless";
  }
  pop_defined {
    String long_name "Pop_defined";
    String units "unitless";
  }
  geographic_location {
    String long_name "Geographic_location";
    String units "unitless";
  }
  state_name {
    String long_name "State_name";
    String units "unitless";
  }
  estuary_local {
    String long_name "Estuary_local";
    String units "unitless";
  }
  mt_haplotype {
    String long_name "Mt_haplotype";
    String units "unitless";
  }
  mt_hap_group {
    String long_name "Mt_hap_group";
    String units "unitless";
  }
  mt_hap_subgroup {
    String long_name "Mt_hap_subgroup";
    String units "unitless";
  }
  collector {
    String long_name "Collector";
    String units "unitless";
  }
  SRA_Run {
    String long_name "Sra_run";
    String units "unitless";
  }
  SRA_Study {
    String long_name "Sra_study";
    String units "unitless";
  }
  version {
    Int32 actual_range 1, 1;
    String long_name "Version";
    String units "unitless";
  }
  BioSample {
    String long_name "Biosample";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 27.4575, 42.04647;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Site_lat";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -84.51061, -69.99714;
    String axis "X";
    String ioos_category "Location";
    String long_name "Site_lon";
    String standard_name "longitude";
    String units "degrees_east";
  }
  sites_collector {
    String long_name "Sites_collector";
    String units "unitless";
  }
  Assay_Type {
    String long_name "Assay_type";
    String units "unitless";
  }
  AvgSpotLen {
    Int32 actual_range 84, 86;
    String long_name "Avgspotlen";
    String units "count";
  }
  Bases {
    Int32 actual_range 2039140, 596123063;
    String long_name "Bases";
    String units "count";
  }
  BioProject {
    String long_name "Bioproject";
    String units "unitless";
  }
  BioSampleModel {
    String long_name "Biosamplemodel";
    String units "unitless";
  }
  Bytes {
    Int32 actual_range 727391, 198421887;
    String long_name "Bytes";
    String units "bytes";
  }
  Experiment {
    String long_name "Experiment";
    String units "unitless";
  }
  Instrument {
    String long_name "Instrument";
    String units "unitless";
  }
  isolate {
    Int32 actual_range 1, 233;
    String long_name "Isolate";
    String units "unitless";
  }
  isolation_source {
    String long_name "Isolation_source";
    String units "unitless";
  }
  Library_Name {
    Int32 actual_range 1, 233;
    String long_name "Library_name";
    String units "unitless";
  }
  LibraryLayout {
    String long_name "Librarylayout";
    String units "unitless";
  }
  LibrarySelection {
    String long_name "Libraryselection";
    String units "unitless";
  }
  LibrarySource {
    String long_name "Librarysource";
    String units "unitless";
  }
  Organism {
    String long_name "Organism";
    String units "unitless";
  }
  Platform {
    String long_name "Platform";
    String units "unitless";
  }
  tissue {
    String long_name "Tissue";
    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.998297.1";
    Float64 Easternmost_Easting -69.99714;
    Float64 geospatial_lat_max 42.04647;
    Float64 geospatial_lat_min 27.4575;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -69.99714;
    Float64 geospatial_lon_min -84.51061;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-06-25T02:31:25Z (local files)
2026-06-25T02:31:25Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998297_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/998297";
    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 42.04647;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 27.4575;
    String summary 
"The decorator worm Diopatra cuprea Bosc, 1802 (Annelid; Polychaete; Onuphidae) is an ecosystem engineer within high-salinity estuaries of the southern and eastern United States. A previous study revealed five morphologically cryptic mitochondrial lineages across its broad geographic distribution. We genotyped single-nucleotide polymorphisms (SNPs) with RADseq. 

This dataset includes metadata, methods, links to published code and processed data used to generate figures for the results publication Ziegler et al. (2025,doi:10.1007/s00227-025-04613-8)  titled \"Multiple cryptic lineages and restricted gene flow in the decorator worm Diopatra cuprea.\" This dataset also includes genetic accession identifiers for sequence data contributed to the National Center for Biotechnology Information (NCBI)'s Sequence Read Archive (SRA), available under BioProject PRJNA1103840.";
    String title "[Diopatra SNPs (SRA)] - Decorator worm Diopatra cuprea single nucleotide polymorphism (SNP) genotypes from collections in the Gulf of Mexico and eastern United States estuaries from 2009 to 2022 (The genetic legacy of an Asian oyster introduction and its disease-causing parasite)";
    Float64 Westernmost_Easting -84.51061;
  }
}

 

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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.
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• (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
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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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