ERDDAP > tabledap > Data Access Form

Dataset Title:	[ProteOMZ Protein Level Spectral Counts] - Total spectral count of proteins from R/V Falkor cruise 160115 for the ProteOMZ expedition in the Central Pacific in 2016 (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_737620_v3)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
sample_id (untiless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"st10 0020m"	"st9 0250m"
MS_MS_sample_name (untiless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"161124_ProteOMZ_st..."	"170912_proteOMZ_2D..."
station_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		4	14
depth (Depth_m, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		20	1250
latitude (Latitude_dd, degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		-10.56	10.0
longitude (Longitude_dd, degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-156.0	-139.8
date_ymd (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2016-01-19"	"2016-02-04"
time_hms (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"01:00:00"	"23:59:00"
minimum_filter_size_microns (microns)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.2	0.2
maximum_filter_size_microns (microns)	!= =~ <= >= = < >		!= =~ <= >= = < >		3	3
cruise_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"FK160115"	"FK160115"
protein_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"NODE_1000008_lengt..."	"NODE_9_length_8429..."
spectral_count_sum (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	610.0
molecular_weight_kDa (kDa)	!= =~ <= >= = < >		!= =~ <= >= = < >		2025.3	344472.6
protein_name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"'Cold-shock' DNA-b..."	"zwf; glucose-6-pho..."
ncbi_id (taxon)	!= =~ <= >= = < >		!= =~ <= >= = < >		-289870	2268180
ncbi_name (verbatimIdentifiation)	!= =~ <= >= = < >		!= =~ <= >= = < >		"'Nostoc azollae' 0..."	"unidentified eubac..."
kegg_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"K00001"	"K15396"
kegg_description (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"(E)-4-hydroxy-3-me..."	"zinc/manganese tra..."
kegg_pathway (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"ABC transporters"	"beta-Lactam resist..."
pfams_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"PF00004"	"PF14905 PF00593"
pfams_name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"'Cold-shock' DNA-b..."	"yrdC domain"
uniprot_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"A0A5C6"	"Q9Z518"
enzyme_comm_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1.1.1.1"	"6.6.1.2"
time (Iso_datetime_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2016-01-20T06:00:00Z	2016-02-04T23:00:00Z

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" sample_id MS_MS_sample_name station_id depth latitude longitude date_ymd time_hms minimum_filter_size_microns maximum_filter_size_microns cruise_id protein_id spectral_count_sum molecular_weight_kDa protein_name ncbi_id ncbi_name kegg_id kegg_description kegg_pathway pfams_id pfams_name uniprot_id enzyme_comm_id time sample_id MS_MS_sample_name station_id depth latitude longitude date_ymd time_hms minimum_filter_size_microns maximum_filter_size_microns cruise_id protein_id spectral_count_sum molecular_weight_kDa protein_name ncbi_id ncbi_name kegg_id kegg_description kegg_pathway pfams_id pfams_name uniprot_id enzyme_comm_id time sample_id MS_MS_sample_name station_id depth latitude longitude date_ymd time_hms minimum_filter_size_microns maximum_filter_size_microns cruise_id protein_id spectral_count_sum molecular_weight_kDa protein_name ncbi_id ncbi_name kegg_id kegg_description kegg_pathway pfams_id pfams_name uniprot_id enzyme_comm_id time sample_id MS_MS_sample_name station_id depth latitude longitude date_ymd time_hms minimum_filter_size_microns maximum_filter_size_microns cruise_id protein_id spectral_count_sum molecular_weight_kDa protein_name ncbi_id ncbi_name kegg_id kegg_description kegg_pathway pfams_id pfams_name uniprot_id enzyme_comm_id time sample_id MS_MS_sample_name station_id depth latitude longitude date_ymd time_hms minimum_filter_size_microns maximum_filter_size_microns cruise_id protein_id spectral_count_sum molecular_weight_kDa protein_name ncbi_id ncbi_name kegg_id kegg_description kegg_pathway pfams_id pfams_name uniprot_id enzyme_comm_id time ")

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 {
  sample_id {
    String long_name "Sample_id";
    String units "untiless";
  }
  MS_MS_sample_name {
    String long_name "Ms_ms_sample_name";
    String units "untiless";
  }
  station_id {
    Int32 actual_range 4, 14;
    String long_name "Station_id";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 20, 1250;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth_m";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -10.56, 10.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude_dd";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -156.0, -139.8;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude_dd";
    String standard_name "longitude";
    String units "degrees_east";
  }
  date_ymd {
    String long_name "Date_ymd";
    String units "unitless";
  }
  time_hms {
    String long_name "Time_hms";
    String units "unitless";
  }
  minimum_filter_size_microns {
    Float32 actual_range 0.2, 0.2;
    String long_name "Minimum_filter_size_microns";
    String units "microns";
  }
  maximum_filter_size_microns {
    Int32 actual_range 3, 3;
    String long_name "Maximum_filter_size_microns";
    String units "microns";
  }
  cruise_id {
    String long_name "Cruise_id";
    String units "unitless";
  }
  protein_id {
    String long_name "Protein_id";
    String units "unitless";
  }
  spectral_count_sum {
    Float32 actual_range 0.0, 610.0;
    String long_name "Spectral_count_sum";
    String units "count";
  }
  molecular_weight_kDa {
    Float32 actual_range 2025.3, 344472.6;
    String long_name "Molecular_weight_kda";
    String units "kDa";
  }
  protein_name {
    String long_name "Protein_name";
    String units "unitless";
  }
  ncbi_id {
    Int32 actual_range -289870, 2268180;
    String long_name "Ncbi_id";
    String units "taxon";
  }
  ncbi_name {
    String long_name "Ncbi_name";
    String units "verbatimIdentifiation";
  }
  kegg_id {
    String long_name "Kegg_id";
    String units "unitless";
  }
  kegg_description {
    String long_name "Kegg_description";
    String units "unitless";
  }
  kegg_pathway {
    String long_name "Kegg_pathway";
    String units "unitless";
  }
  pfams_id {
    String long_name "Pfams_id";
    String units "unitless";
  }
  pfams_name {
    String long_name "Pfams_name";
    String units "unitless";
  }
  uniprot_id {
    String long_name "Uniprot_id";
    String units "unitless";
  }
  enzyme_comm_id {
    String long_name "Enzyme_comm_id";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4532696e+9, 1.4546268e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  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.737620.3";
    Float64 Easternmost_Easting -139.8;
    Float64 geospatial_lat_max 10.0;
    Float64 geospatial_lat_min -10.56;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -139.8;
    Float64 geospatial_lon_min -156.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1250.0;
    Float64 geospatial_vertical_min 20.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T16:42:30Z (local files)
2024-11-23T16:42:30Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_737620_v3.html";
    String infoUrl "https://www.bco-dmo.org/dataset/737620";
    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 10.0;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -10.56;
    String summary "Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 56,577 protein identifications over 102 samples, for ~6 million data points.";
    String time_coverage_end "2016-02-04T23:00:00Z";
    String time_coverage_start "2016-01-20T06:00:00Z";
    String title "[ProteOMZ Protein Level Spectral Counts] - Total spectral count of proteins from R/V Falkor cruise 160115 for the ProteOMZ expedition in the Central Pacific in 2016 (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean)";
    Float64 Westernmost_Easting -156.0;
  }
}

 

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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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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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