ERDDAP > tabledap > Data Access Form

Dataset Title:	[CliOMZ AT50-10 Underway Sampling Log] - Log for the samples taken using the Underway system on board of the R/V Atlantis during the CliOMZ AT50-10 expedition from Golfito, Costa Rica to San Diego, USA that occurred in May - June of 2023. (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_922268_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Cruise_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"AT50-10"	"AT50-10"
Station_number (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"10"	"9"
Start_Date_UTC (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2023-05-04"	"2023-06-08"
Start_Time_UTC (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		"01:30:00"	"23:51:00"
End_Date_UTC (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2023-05-04"	"2023-06-08"
End_Time_UTC (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		"03:04:00"	"17:35:00"
Start_Lat (decimal degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		-10.06429	31.25079
Start_Long (decimal degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		-120.2789	-88.97095
End_Lat (decimal degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		-10.06429	31.25079
End_Long (decimal degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		-120.2789	-88.97095
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.0	5.0
Sampling_device (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Uerway"	"Uerway"
At_station_or_transit (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"At station"	"Transit"
Filter_type (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0.2um"	"GFF"
Volume_filtered (liters (L))	!= =~ <= >= = < >		!= =~ <= >= = < >		4.542492	652.8
DEPLOYMENT_COMMENTS (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Adaptive Clio"	"no sample"
SAMPLE_PRFEIX (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"UW-2-GFF-CA-[analy..."	"no sample"
SUPOR_0_2_PROTEIN1 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.5	0.5
SUPOR_0_2_PROTEIN2 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.125	0.125
SUPOR_0_2_DNA1 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.125	0.125
SUPOR_0_2_DNA2 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0625	0.125
SUPOR_0_2_eDNA (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0625	0.0625
SUPOR_0_2_pMetal (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >
SUPOR_0_2_POS (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.125	0.125
NITEX_51_PROTEIN1 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.75	0.75
NITEX_51_DNA1 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.125	0.125
NITEX_51_pMetal (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.13	0.13
GFF_PROTEIN1 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.25	0.25
GFF_CA (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.125	0.125
GFF_PIGS (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.05	0.05
GFF_POC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.05	0.05
GFF_HG (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.525	0.525
SAMPLE_COMMENTS (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Cruise_ID Station_number Start_Date_UTC Start_Time_UTC End_Date_UTC End_Time_UTC Start_Lat Start_Long End_Lat End_Long depth Sampling_device At_station_or_transit Filter_type Volume_filtered DEPLOYMENT_COMMENTS SAMPLE_PRFEIX SUPOR_0_2_PROTEIN1 SUPOR_0_2_PROTEIN2 SUPOR_0_2_DNA1 SUPOR_0_2_DNA2 SUPOR_0_2_eDNA SUPOR_0_2_pMetal SUPOR_0_2_POS NITEX_51_PROTEIN1 NITEX_51_DNA1 NITEX_51_pMetal GFF_PROTEIN1 GFF_CA GFF_PIGS GFF_POC GFF_HG SAMPLE_COMMENTS Cruise_ID Station_number Start_Date_UTC Start_Time_UTC End_Date_UTC End_Time_UTC Start_Lat Start_Long End_Lat End_Long depth Sampling_device At_station_or_transit Filter_type Volume_filtered DEPLOYMENT_COMMENTS SAMPLE_PRFEIX SUPOR_0_2_PROTEIN1 SUPOR_0_2_PROTEIN2 SUPOR_0_2_DNA1 SUPOR_0_2_DNA2 SUPOR_0_2_eDNA SUPOR_0_2_pMetal SUPOR_0_2_POS NITEX_51_PROTEIN1 NITEX_51_DNA1 NITEX_51_pMetal GFF_PROTEIN1 GFF_CA GFF_PIGS GFF_POC GFF_HG SAMPLE_COMMENTS Cruise_ID Station_number Start_Date_UTC Start_Time_UTC End_Date_UTC End_Time_UTC Start_Lat Start_Long End_Lat End_Long depth Sampling_device At_station_or_transit Filter_type Volume_filtered DEPLOYMENT_COMMENTS SAMPLE_PRFEIX SUPOR_0_2_PROTEIN1 SUPOR_0_2_PROTEIN2 SUPOR_0_2_DNA1 SUPOR_0_2_DNA2 SUPOR_0_2_eDNA SUPOR_0_2_pMetal SUPOR_0_2_POS NITEX_51_PROTEIN1 NITEX_51_DNA1 NITEX_51_pMetal GFF_PROTEIN1 GFF_CA GFF_PIGS GFF_POC GFF_HG SAMPLE_COMMENTS Cruise_ID Station_number Start_Date_UTC Start_Time_UTC End_Date_UTC End_Time_UTC Start_Lat Start_Long End_Lat End_Long depth Sampling_device At_station_or_transit Filter_type Volume_filtered DEPLOYMENT_COMMENTS SAMPLE_PRFEIX SUPOR_0_2_PROTEIN1 SUPOR_0_2_PROTEIN2 SUPOR_0_2_DNA1 SUPOR_0_2_DNA2 SUPOR_0_2_eDNA SUPOR_0_2_pMetal SUPOR_0_2_POS NITEX_51_PROTEIN1 NITEX_51_DNA1 NITEX_51_pMetal GFF_PROTEIN1 GFF_CA GFF_PIGS GFF_POC GFF_HG SAMPLE_COMMENTS Cruise_ID Station_number Start_Date_UTC Start_Time_UTC End_Date_UTC End_Time_UTC Start_Lat Start_Long End_Lat End_Long depth Sampling_device At_station_or_transit Filter_type Volume_filtered DEPLOYMENT_COMMENTS SAMPLE_PRFEIX SUPOR_0_2_PROTEIN1 SUPOR_0_2_PROTEIN2 SUPOR_0_2_DNA1 SUPOR_0_2_DNA2 SUPOR_0_2_eDNA SUPOR_0_2_pMetal SUPOR_0_2_POS NITEX_51_PROTEIN1 NITEX_51_DNA1 NITEX_51_pMetal GFF_PROTEIN1 GFF_CA GFF_PIGS GFF_POC GFF_HG SAMPLE_COMMENTS ")

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 {
  Cruise_ID {
    String long_name "Cruise_id";
    String units "unitless";
  }
  Station_number {
    String long_name "Station_number";
    String units "unitless";
  }
  Start_Date_UTC {
    String long_name "Start_date_utc";
    String units "UTC";
  }
  Start_Time_UTC {
    String long_name "Start_time_utc";
    String units "UTC";
  }
  End_Date_UTC {
    String long_name "End_date_utc";
    String units "UTC";
  }
  End_Time_UTC {
    String long_name "End_time_utc";
    String units "UTC";
  }
  Start_Lat {
    Float32 actual_range -10.06429, 31.25079;
    String long_name "Start_lat";
    String units "decimal degrees";
  }
  Start_Long {
    Float32 actual_range -120.2789, -88.97095;
    String long_name "Start_long";
    String units "decimal degrees";
  }
  End_Lat {
    Float32 actual_range -10.06429, 31.25079;
    String long_name "End_lat";
    String units "decimal degrees";
  }
  End_Long {
    Float32 actual_range -120.2789, -88.97095;
    String long_name "End_long";
    String units "decimal degrees";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 5.0, 5.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Sampling_device {
    String long_name "Sampling_device";
    String units "unitless";
  }
  At_station_or_transit {
    String long_name "At_station_or_transit";
    String units "unitless";
  }
  Filter_type {
    String long_name "Filter_type";
    String units "unitless";
  }
  Volume_filtered {
    Float32 actual_range 4.542492, 652.8;
    String long_name "Volume_filtered";
    String units "liters (L)";
  }
  DEPLOYMENT_COMMENTS {
    String long_name "Deployment_comments";
    String units "unitless";
  }
  SAMPLE_PRFEIX {
    String long_name "Sample_prfeix";
    String units "unitless";
  }
  SUPOR_0_2_PROTEIN1 {
    Float32 actual_range 0.5, 0.5;
    String long_name "Supor_0_2_protein1";
    String units "unitless";
  }
  SUPOR_0_2_PROTEIN2 {
    Float32 actual_range 0.125, 0.125;
    String long_name "Supor_0_2_protein2";
    String units "unitless";
  }
  SUPOR_0_2_DNA1 {
    Float32 actual_range 0.125, 0.125;
    String long_name "Supor_0_2_dna1";
    String units "unitless";
  }
  SUPOR_0_2_DNA2 {
    Float32 actual_range 0.0625, 0.125;
    String long_name "Supor_0_2_dna2";
    String units "unitless";
  }
  SUPOR_0_2_eDNA {
    Float32 actual_range 0.0625, 0.0625;
    String long_name "Supor_0_2_edna";
    String units "unitless";
  }
  SUPOR_0_2_pMetal {
    String long_name "Supor_0_2_pmetal";
    String units "unitless";
  }
  SUPOR_0_2_POS {
    Float32 actual_range 0.125, 0.125;
    String long_name "Supor_0_2_pos";
    String units "unitless";
  }
  NITEX_51_PROTEIN1 {
    Float32 actual_range 0.75, 0.75;
    String long_name "Nitex_51_protein1";
    String units "unitless";
  }
  NITEX_51_DNA1 {
    Float32 actual_range 0.125, 0.125;
    String long_name "Nitex_51_dna1";
    String units "unitless";
  }
  NITEX_51_pMetal {
    Float32 actual_range 0.13, 0.13;
    String long_name "Nitex_51_pmetal";
    String units "unitless";
  }
  GFF_PROTEIN1 {
    Float32 actual_range 0.25, 0.25;
    String long_name "Gff_protein1";
    String units "unitless";
  }
  GFF_CA {
    Float32 actual_range 0.125, 0.125;
    String long_name "Gff_ca";
    String units "unitless";
  }
  GFF_PIGS {
    Float32 actual_range 0.05, 0.05;
    String long_name "Gff_pigs";
    String units "unitless";
  }
  GFF_POC {
    Float32 actual_range 0.05, 0.05;
    String long_name "Gff_poc";
    String units "unitless";
  }
  GFF_HG {
    Float32 actual_range 0.525, 0.525;
    String long_name "Gff_hg";
    String units "unitless";
  }
  SAMPLE_COMMENTS {
    String long_name "Sample_comments";
    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.922268.1";
    Float64 geospatial_vertical_max 5.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-10T04:12:41Z (local files)
2024-11-10T04:12:41Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922268_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/922268";
    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.";
    String sourceUrl "(local files)";
    String summary "This is the log for the samples taken using the Underway system on board of the R/V Atlantis during the CliOMZ AT50-10 expedition from Golfito, Costa Rica to San Diego, USA that occurred in May - June of 2023.  The log contains metadata associated with the locations where samples were collected, including coordinates, depth, time, volume filtered, filter type, and subsamples' fractions. A Geotech in-line acrylic filter holder connected to a flowmeter were attached to the Underway water flow and particulates were collected. The Science party included members from WHOI, UCSB, UTGRV, and Clark University";
    String title "[CliOMZ AT50-10 Underway Sampling Log] - Log for the samples taken using the Underway system on board of the R/V Atlantis during the CliOMZ AT50-10 expedition from Golfito, Costa Rica to San Diego, USA that occurred in May - June of 2023. (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories)";
  }
}

 

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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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