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Dataset Title:	[Ross Sea metaproteome peptide spectral counts] - Ross Sea metaproteome peptide spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_768259_v1)
Information:	Summary | License | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
sample_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Avg_AB_strainsDB"	"Avg_AB_strainsDB"
cruise_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CORSACS"	"CORSACS"
station_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		137	137
latitude_dd (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		-76.82	-76.82
longitude (Longitude_dd, degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		170.76	170.76
depth (Depth_m, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		5	5
date_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2005-12-30"	"2005-12-30"
time_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"00:58:00"	"00:58:00"
minimum_filter_size_microns (microns (um))	!= =~ <= >= = < >		!= =~ <= >= = < >		20	20
maximum_filter_size_microns (microns (um))	!= =~ <= >= = < >		!= =~ <= >= = < >		"none"	"none"
peptide_sequence (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"AAAAAAAELEAAEAR"	"YYYCLGCDPMQPAYTNDA..."
peptide_start_index (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1458
peptide_stop_index (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1474
protein_molecular_weight_kDa (kilo-Daltons (kDa))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	163516.0
protein_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"contig_100216_33_4..."	"contig_99770_1_113..."
spectral_count_sum (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	66
other_protein_ids (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"contig_100806_165_..."	"contig_99770_1_113..."
best_protein_id_probability (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.945	0.997
best_sequest_DCn_score (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.2	0.96
best_sequest_Xcorr_score (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.5	8.61
plus2H_spectra_count (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	47
plus3H_spectra_count (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	48
plus4H_spectra_count (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	17
median_retention_time (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		""	""
total_precursor_intensity (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		""	""
TIC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		""	""
absolute_units_fmol_L (femtomoles per liter (fmol/L))	!= =~ <= >= = < >		!= =~ <= >= = < >
time (Iso_datetime_utc, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2005-12-29T11:58:00Z	2005-12-29T11:58:00Z

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" sample_id cruise_id station_id latitude_dd longitude depth date_local time_local minimum_filter_size_microns maximum_filter_size_microns peptide_sequence peptide_start_index peptide_stop_index protein_molecular_weight_kDa protein_id spectral_count_sum other_protein_ids best_protein_id_probability best_sequest_DCn_score best_sequest_Xcorr_score plus2H_spectra_count plus3H_spectra_count plus4H_spectra_count median_retention_time total_precursor_intensity TIC absolute_units_fmol_L time sample_id cruise_id station_id latitude_dd longitude depth date_local time_local minimum_filter_size_microns maximum_filter_size_microns peptide_sequence peptide_start_index peptide_stop_index protein_molecular_weight_kDa protein_id spectral_count_sum other_protein_ids best_protein_id_probability best_sequest_DCn_score best_sequest_Xcorr_score plus2H_spectra_count plus3H_spectra_count plus4H_spectra_count median_retention_time total_precursor_intensity TIC absolute_units_fmol_L time sample_id cruise_id station_id latitude_dd longitude depth date_local time_local minimum_filter_size_microns maximum_filter_size_microns peptide_sequence peptide_start_index peptide_stop_index protein_molecular_weight_kDa protein_id spectral_count_sum other_protein_ids best_protein_id_probability best_sequest_DCn_score best_sequest_Xcorr_score plus2H_spectra_count plus3H_spectra_count plus4H_spectra_count median_retention_time total_precursor_intensity TIC absolute_units_fmol_L time sample_id cruise_id station_id latitude_dd longitude depth date_local time_local minimum_filter_size_microns maximum_filter_size_microns peptide_sequence peptide_start_index peptide_stop_index protein_molecular_weight_kDa protein_id spectral_count_sum other_protein_ids best_protein_id_probability best_sequest_DCn_score best_sequest_Xcorr_score plus2H_spectra_count plus3H_spectra_count plus4H_spectra_count median_retention_time total_precursor_intensity TIC absolute_units_fmol_L time sample_id cruise_id station_id latitude_dd longitude depth date_local time_local minimum_filter_size_microns maximum_filter_size_microns peptide_sequence peptide_start_index peptide_stop_index protein_molecular_weight_kDa protein_id spectral_count_sum other_protein_ids best_protein_id_probability best_sequest_DCn_score best_sequest_Xcorr_score plus2H_spectra_count plus3H_spectra_count plus4H_spectra_count median_retention_time total_precursor_intensity TIC absolute_units_fmol_L 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 "unitless";
  }
  cruise_id {
    String long_name "Cruise_id";
    String units "unitless";
  }
  station_id {
    Int32 actual_range 137, 137;
    String long_name "Station_id";
    String units "unitless";
  }
  latitude_dd {
    Float32 actual_range -76.82, -76.82;
    String long_name "Latitude_dd";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 170.76, 170.76;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude_dd";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 5, 5;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth_m";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  date_local {
    String long_name "Date_local";
    String units "unitless";
  }
  time_local {
    String long_name "Time_local";
    String units "unitless";
  }
  minimum_filter_size_microns {
    Int32 actual_range 20, 20;
    String long_name "Minimum_filter_size_microns";
    String units "microns (um)";
  }
  maximum_filter_size_microns {
    String long_name "Maximum_filter_size_microns";
    String units "microns (um)";
  }
  peptide_sequence {
    String long_name "Peptide_sequence";
    String units "unitless";
  }
  peptide_start_index {
    Int32 actual_range 0, 1458;
    String long_name "Peptide_start_index";
    String units "unitless";
  }
  peptide_stop_index {
    Int32 actual_range 0, 1474;
    String long_name "Peptide_stop_index";
    String units "unitless";
  }
  protein_molecular_weight_kDa {
    Float32 actual_range 0.0, 163516.0;
    String long_name "Protein_molecular_weight_kda";
    String units "kilo-Daltons (kDa)";
  }
  protein_id {
    String long_name "Protein_id";
    String units "unitless";
  }
  spectral_count_sum {
    Int32 actual_range 0, 66;
    String long_name "Spectral_count_sum";
    String units "unitless";
  }
  other_protein_ids {
    String long_name "Other_protein_ids";
    String units "unitless";
  }
  best_protein_id_probability {
    Float32 actual_range 0.945, 0.997;
    String long_name "Best_protein_id_probability";
    String units "unitless";
  }
  best_sequest_DCn_score {
    Float32 actual_range 0.2, 0.96;
    String long_name "Best_sequest_dcn_score";
    String units "unitless";
  }
  best_sequest_Xcorr_score {
    Float32 actual_range 2.5, 8.61;
    String long_name "Best_sequest_xcorr_score";
    String units "unitless";
  }
  plus2H_spectra_count {
    Int32 actual_range 0, 47;
    String long_name "Plus2h_spectra_count";
    String units "unitless";
  }
  plus3H_spectra_count {
    Int32 actual_range 0, 48;
    String long_name "Plus3h_spectra_count";
    String units "unitless";
  }
  plus4H_spectra_count {
    Int32 actual_range 0, 17;
    String long_name "Plus4h_spectra_count";
    String units "unitless";
  }
  median_retention_time {
    String long_name "Median_retention_time";
    String units "unitless";
  }
  total_precursor_intensity {
    String long_name "Total_precursor_intensity";
    String units "unitless";
  }
  TIC {
    String long_name "Tic";
    String units "unitless";
  }
  absolute_units_fmol_L {
    String long_name "Absolute_units_fmol_l";
    String units "femtomoles per liter (fmol/L)";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.13585748e+9, 1.13585748e+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 defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.768259.2";
    Float64 Easternmost_Easting 170.76;
    Float64 geospatial_lon_max 170.76;
    Float64 geospatial_lon_min 170.76;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-12-03T17:35:29Z (local files)
2024-12-03T17:35:29Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/768259";
    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 "A net tow metaproteome of a Phaeocystis antarctica bloom in the Ross Sea, mapped here to Phaeocystis metatranscriptomes analyzed by 2D LCMS, in units of peptide spectral counts.";
    String time_coverage_end "2005-12-29T11:58:00Z";
    String time_coverage_start "2005-12-29T11:58:00Z";
    String title "[Ross Sea metaproteome peptide spectral counts] - Ross Sea metaproteome peptide spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure)";
    Float64 Westernmost_Easting 170.76;
  }
}

 

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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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