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Dataset Title:  [Metagenome from Gulf of Mexico] - Sample information for the metagenomes from
the Gulf of Mexico collected on R/V Endeavor cruise EN509 in May
2012 (Collaborative Research: Microdiversity drives ecosystem function: SAR11
bacteria as models for oceanic nitrogen loss)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_998957_v1)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Acession (unitless) ?          "SRX1123559"    "SRX31480040"
 Sample_Name (unitless) ?          "EN21"    "EN85"
 Vessel (unitless) ?          "R/V Endeavour"    "R/V Endeavour"
 Cruise (unitless) ?          "EN509"    "EN509"
 Ocean (unitless) ?          "Gulf Of Mexico"    "Gulf Of Mexico"
 Date (unitless) ?          "2012-05-26"    "2012-06-02"
 Year (unitless) ?          2012    2012
 Month (unitless) ?          "June"    "May"
 Day (unitless) ?          2    30
 Station (unitless) ?          2    8
 latitude (degrees_north) ?          26.095    28.8505
  < slider >
 longitude (degrees_east) ?          -92.701    -88.4893
  < slider >
 Description (unitless) ?          "DCM"    "aOMZ"
 depth (m) ?          3    2107
  < slider >
 Temp (degrees Celsius) ?          4.2532    27.8465
 Salinity (PSU) ?          29.6411    36.5015
 Density (sigma theta) ?          18.4198    27.7314
 Fluoresence (milligrams per cubic meter (mg/m^3)) ?          0.0461    0.9041
 Oxygen (micromolar (uM)) ?          109.172    212.9035
 Xmiss (ranging 0-100%.) ?          80.643    89.137
 Conductivity (Siemens per meter (S/m)) ?          3.342063    5.707192
 Par (micromoles of photons per square meter per second (μmol*m^-2*s^-1)) ?          0.633    2060.0
 Mean_PO4 (micromolar (uM)) ?          0.064    2.112
 Mean_Si (micromolar (uM)) ?          0.816    27.173
 Mean_NO3_NO2 (micromolar (uM)) ?          0.0    34.94
 Sequencing_Effort_Gb (Giga-basepairs (Gb)) ?          2.91    17.61
 Sequencing_Effort_Bp (Basepairs (Bp)) ?              
 Metagenome_Reads_GC (ranging 25-75%, typically) ?          35.43749    49.59689
 Average_Genome_Size (Mega-basepairs (Mb)) ?          1806225.0    3157446.0
 Nonpareil_Diversity (ranging 1-30, typically) ?          19.61215    21.2032
 Diversity_Covered (ranging 0-100%.) ?          46.62    76.96
 Contigs_Assembled (integer, number) ?          21266    209000
 Assembled_Length (Basepairs (Bp)) ?          40718750    520984574
 Assembled_N50 (Basepairs (Bp)) ?          1850    3235
 Assembled_GC (ranging 25-75%, typically) ?          36.44104    49.66048
 Predicted_CDS (integer, number) ?          52799    657518
 Reads_Mapping_to_Assembly (ranging 0-100%.) ?          22.49    63.42
 Reads_Mapping_to_rMAGs (ranging 0-100%.) ?          8.8    30.5
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Acession {
    String long_name "Acession";
    String units "unitless";
  }
  Sample_Name {
    String long_name "Sample_name";
    String units "unitless";
  }
  Vessel {
    String long_name "Vessel";
    String units "unitless";
  }
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  Ocean {
    String long_name "Ocean";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Year {
    Int32 actual_range 2012, 2012;
    String long_name "Year";
    String units "unitless";
  }
  Month {
    String long_name "Month";
    String units "unitless";
  }
  Day {
    Int32 actual_range 2, 30;
    String long_name "Day";
    String units "unitless";
  }
  Station {
    Int32 actual_range 2, 8;
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 26.095, 28.8505;
    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 -92.701, -88.4893;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Description {
    String long_name "Description";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 3, 2107;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Temp {
    Float32 actual_range 4.2532, 27.8465;
    String long_name "Temp";
    String units "degrees Celsius";
  }
  Salinity {
    Float32 actual_range 29.6411, 36.5015;
    String long_name "Salinity";
    String units "PSU";
  }
  Density {
    Float32 actual_range 18.4198, 27.7314;
    String long_name "Density";
    String units "sigma theta";
  }
  Fluoresence {
    Float32 actual_range 0.0461, 0.9041;
    String long_name "Fluoresence";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Oxygen {
    Float32 actual_range 109.172, 212.9035;
    String long_name "Oxygen";
    String units "micromolar (uM)";
  }
  Xmiss {
    Float32 actual_range 80.643, 89.137;
    String long_name "Xmiss";
    String units "ranging 0-100%.";
  }
  Conductivity {
    Float32 actual_range 3.342063, 5.707192;
    String long_name "Conductivity";
    String units "Siemens per meter (S/m)";
  }
  Par {
    Float32 actual_range 0.633, 2060.0;
    String long_name "Par";
    String units "micromoles of photons per square meter per second (μmol*m^-2*s^-1)";
  }
  Mean_PO4 {
    Float32 actual_range 0.064, 2.112;
    String long_name "Mean_po4";
    String units "micromolar (uM)";
  }
  Mean_Si {
    Float32 actual_range 0.816, 27.173;
    String long_name "Mean_si";
    String units "micromolar (uM)";
  }
  Mean_NO3_NO2 {
    Float32 actual_range 0.0, 34.94;
    String long_name "Mean_no3_no2";
    String units "micromolar (uM)";
  }
  Sequencing_Effort_Gb {
    Float32 actual_range 2.91, 17.61;
    String long_name "Sequencing_effort_gb";
    String units "Giga-basepairs (Gb)";
  }
  Sequencing_Effort_Bp {
    String long_name "Sequencing_effort_bp";
    String units "Basepairs (Bp)";
  }
  Metagenome_Reads_GC {
    Float32 actual_range 35.43749, 49.59689;
    String long_name "Metagenome_reads_gc";
    String units "ranging 25-75%, typically";
  }
  Average_Genome_Size {
    Float32 actual_range 1806225.0, 3157446.0;
    String long_name "Average_genome_size";
    String units "Mega-basepairs (Mb)";
  }
  Nonpareil_Diversity {
    Float32 actual_range 19.61215, 21.2032;
    String long_name "Nonpareil_diversity";
    String units "ranging 1-30, typically";
  }
  Diversity_Covered {
    Float32 actual_range 46.62, 76.96;
    String long_name "Diversity_covered";
    String units "ranging 0-100%.";
  }
  Contigs_Assembled {
    Int32 actual_range 21266, 209000;
    String long_name "Contigs_assembled";
    String units "integer, number";
  }
  Assembled_Length {
    Int32 actual_range 40718750, 520984574;
    String long_name "Assembled_length";
    String units "Basepairs (Bp)";
  }
  Assembled_N50 {
    Int32 actual_range 1850, 3235;
    String long_name "Assembled_n50";
    String units "Basepairs (Bp)";
  }
  Assembled_GC {
    Float32 actual_range 36.44104, 49.66048;
    String long_name "Assembled_gc";
    String units "ranging 25-75%, typically";
  }
  Predicted_CDS {
    Int32 actual_range 52799, 657518;
    String long_name "Predicted_cds";
    String units "integer, number";
  }
  Reads_Mapping_to_Assembly {
    Float32 actual_range 22.49, 63.42;
    String long_name "Reads_mapping_to_assembly";
    String units "ranging 0-100%.";
  }
  Reads_Mapping_to_rMAGs {
    Float32 actual_range 8.8, 30.5;
    String long_name "Reads_mapping_to_rmags";
    String units "ranging 0-100%.";
  }
 }
  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.998957.1";
    Float64 Easternmost_Easting -88.4893;
    Float64 geospatial_lat_max 28.8505;
    Float64 geospatial_lat_min 26.095;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -88.4893;
    Float64 geospatial_lon_min -92.701;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2107.0;
    Float64 geospatial_vertical_min 3.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-07-04T06:56:49Z (local files)
2026-07-04T06:56:49Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998957_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/998957";
    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 28.8505;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 26.095;
    String summary "This dataset includes sample information for the metagenomes from the Gulf of Mexico used in the Conrad et al. AEM 2026 study. Water samples were collected during CTD casts from the May 2012 R/V Endeavour cruise EN509 and shotgun metagenomes were sequenced from the surface (~3 meters (m)), the mixed layer (ML; 15-25m), the deep chlorophyll maximum (DCM; 70-90m), below the DCM but above the oxygen minimum zone (OMZ; 100-150m), and the OMZ (200-400m) from three stations in the northwest Gulf of Mexico on an Illumina MiSeq sequencer available at the Molecular Core of Georgia Tech. Raw sequences are available in the National Center for Biotechnology Information (NCBI) under BioProject number PRJNA291283.";
    String title "[Metagenome from Gulf of Mexico] - Sample information for the metagenomes from the Gulf of Mexico collected on R/V Endeavor cruise EN509 in May 2012 (Collaborative Research: Microdiversity drives ecosystem function: SAR11 bacteria as models for oceanic nitrogen loss)";
    Float64 Westernmost_Easting -92.701;
  }
}

 

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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