ERDDAP > tabledap > Data Access Form

Dataset Title:	[Autotrophy, heterotrophy, and niche partitioning in Caribbean sponges] - Autotrophy, heterotrophy and niche partitioning in Caribbean sponges sampled June 9, 2019 on reef sites around Bocas del Toro Panama. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_954735_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Species (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Acau"	"Xmut"
Full_scientific_name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Aiolochroia crassa"	"Xestospongia muta"
Date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2019-06-09"	"2019-06-09"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		9.349457	9.349457
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-82.26245	-82.26245
Replicate (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	10
Fraction (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Bac"	"Sponge"
Initial_d15N (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.4	8.1
Initial_wt_percN (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.1	9.1
Initial_Atm_perc15N (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.365777	0.369259
Initial_d13C (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-22.2	-16.3
Initial_wt_percC (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		9.0	44.5
Atm_perc13C (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.081319	1.087809
Dark_d15N (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		10.38479	400.8871
Dark_wt_percN (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.055543	11.52683
Dark_Atm_perc15N (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.3700832	0.5123833
Dark_d13C (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-20.68738	-9.52869
Dark_wt_percC (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		5.281312	49.54512
Dark_Atm_perc13C (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.082976	1.09518
Dark_Change_in_d15N (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		5.233793	396.694
Dark_Change_in_d13C (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.8315192	10.26896
Light_d15N (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		7.405375	1464.092
Light_wt_percN (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.3523712	9.916605
Light_Atm_perc15N (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.3689959	0.8977658
Light_d13C (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-19.2376	393.2827
Light_wt_percC (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.866867	45.98655
Light_Atm_perc13C (percentage (%))	!= =~ <= >= = < >		!= =~ <= >= = < >		1.084561	1.533744
Light_Change_in_d15N (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		2.328924	1459.898
Light_Change_in_d13C (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.8188998	414.1417
Light_photo_d15N (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-23.63561	839.7053
light_photo_d13C (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.1827913	369.9834
Hetero_d15N (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		5.233793	396.694
hetero_d13C (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.8315192	10.26896
POM_heterotrophy_enriched_d13C (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-20.21361	211.4035
POM_heterotrophy_enriched_d15N (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		11.265	630.6459
Heterotrophy_POM_change_in_d13c (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		-17.21	232.27
Heterotrophy_POM_change_in_d15N (permille ( ‰))	!= =~ <= >= = < >		!= =~ <= >= = < >		11.23	626.19
POM_T60_CR (mililiters/hour)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.302432	701.3691
POM_T120_CR (mililiters/hour)	!= =~ <= >= = < >		!= =~ <= >= = < >		6.615214	515.7516

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Species Full_scientific_name Date latitude longitude Replicate Fraction Initial_d15N Initial_wt_percN Initial_Atm_perc15N Initial_d13C Initial_wt_percC Atm_perc13C Dark_d15N Dark_wt_percN Dark_Atm_perc15N Dark_d13C Dark_wt_percC Dark_Atm_perc13C Dark_Change_in_d15N Dark_Change_in_d13C Light_d15N Light_wt_percN Light_Atm_perc15N Light_d13C Light_wt_percC Light_Atm_perc13C Light_Change_in_d15N Light_Change_in_d13C Light_photo_d15N light_photo_d13C Hetero_d15N hetero_d13C POM_heterotrophy_enriched_d13C POM_heterotrophy_enriched_d15N Heterotrophy_POM_change_in_d13c Heterotrophy_POM_change_in_d15N POM_T60_CR POM_T120_CR Species Full_scientific_name Date latitude longitude Replicate Fraction Initial_d15N Initial_wt_percN Initial_Atm_perc15N Initial_d13C Initial_wt_percC Atm_perc13C Dark_d15N Dark_wt_percN Dark_Atm_perc15N Dark_d13C Dark_wt_percC Dark_Atm_perc13C Dark_Change_in_d15N Dark_Change_in_d13C Light_d15N Light_wt_percN Light_Atm_perc15N Light_d13C Light_wt_percC Light_Atm_perc13C Light_Change_in_d15N Light_Change_in_d13C Light_photo_d15N light_photo_d13C Hetero_d15N hetero_d13C POM_heterotrophy_enriched_d13C POM_heterotrophy_enriched_d15N Heterotrophy_POM_change_in_d13c Heterotrophy_POM_change_in_d15N POM_T60_CR POM_T120_CR Species Full_scientific_name Date latitude longitude Replicate Fraction Initial_d15N Initial_wt_percN Initial_Atm_perc15N Initial_d13C Initial_wt_percC Atm_perc13C Dark_d15N Dark_wt_percN Dark_Atm_perc15N Dark_d13C Dark_wt_percC Dark_Atm_perc13C Dark_Change_in_d15N Dark_Change_in_d13C Light_d15N Light_wt_percN Light_Atm_perc15N Light_d13C Light_wt_percC Light_Atm_perc13C Light_Change_in_d15N Light_Change_in_d13C Light_photo_d15N light_photo_d13C Hetero_d15N hetero_d13C POM_heterotrophy_enriched_d13C POM_heterotrophy_enriched_d15N Heterotrophy_POM_change_in_d13c Heterotrophy_POM_change_in_d15N POM_T60_CR POM_T120_CR Species Full_scientific_name Date latitude longitude Replicate Fraction Initial_d15N Initial_wt_percN Initial_Atm_perc15N Initial_d13C Initial_wt_percC Atm_perc13C Dark_d15N Dark_wt_percN Dark_Atm_perc15N Dark_d13C Dark_wt_percC Dark_Atm_perc13C Dark_Change_in_d15N Dark_Change_in_d13C Light_d15N Light_wt_percN Light_Atm_perc15N Light_d13C Light_wt_percC Light_Atm_perc13C Light_Change_in_d15N Light_Change_in_d13C Light_photo_d15N light_photo_d13C Hetero_d15N hetero_d13C POM_heterotrophy_enriched_d13C POM_heterotrophy_enriched_d15N Heterotrophy_POM_change_in_d13c Heterotrophy_POM_change_in_d15N POM_T60_CR POM_T120_CR Species Full_scientific_name Date latitude longitude Replicate Fraction Initial_d15N Initial_wt_percN Initial_Atm_perc15N Initial_d13C Initial_wt_percC Atm_perc13C Dark_d15N Dark_wt_percN Dark_Atm_perc15N Dark_d13C Dark_wt_percC Dark_Atm_perc13C Dark_Change_in_d15N Dark_Change_in_d13C Light_d15N Light_wt_percN Light_Atm_perc15N Light_d13C Light_wt_percC Light_Atm_perc13C Light_Change_in_d15N Light_Change_in_d13C Light_photo_d15N light_photo_d13C Hetero_d15N hetero_d13C POM_heterotrophy_enriched_d13C POM_heterotrophy_enriched_d15N Heterotrophy_POM_change_in_d13c Heterotrophy_POM_change_in_d15N POM_T60_CR POM_T120_CR ")

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 {
  Species {
    String long_name "Species";
    String units "unitless";
  }
  Full_scientific_name {
    String long_name "Full_scientific_name";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 9.349457, 9.349457;
    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 -82.26245, -82.26245;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Replicate {
    Int32 actual_range 1, 10;
    String long_name "Replicate";
    String units "unitless";
  }
  Fraction {
    String long_name "Fraction";
    String units "unitless";
  }
  Initial_d15N {
    Float32 actual_range -1.4, 8.1;
    String long_name "Initial_d15n";
    String units "permille ( ‰)";
  }
  Initial_wt_percN {
    Float32 actual_range 1.1, 9.1;
    String long_name "Initial_wt_percn";
    String units "percentage (%)";
  }
  Initial_Atm_perc15N {
    Float32 actual_range 0.365777, 0.369259;
    String long_name "Initial_atm_perc15n";
    String units "percentage (%)";
  }
  Initial_d13C {
    Float32 actual_range -22.2, -16.3;
    String long_name "Initial_d13c";
    String units "permille ( ‰)";
  }
  Initial_wt_percC {
    Float32 actual_range 9.0, 44.5;
    String long_name "Initial_wt_percc";
    String units "percentage (%)";
  }
  Atm_perc13C {
    Float32 actual_range 1.081319, 1.087809;
    String long_name "Atm_perc13c";
    String units "percentage (%)";
  }
  Dark_d15N {
    Float32 actual_range 10.38479, 400.8871;
    String long_name "Dark_d15n";
    String units "permille ( ‰)";
  }
  Dark_wt_percN {
    Float32 actual_range 1.055543, 11.52683;
    String long_name "Dark_wt_percn";
    String units "percentage (%)";
  }
  Dark_Atm_perc15N {
    Float32 actual_range 0.3700832, 0.5123833;
    String long_name "Dark_atm_perc15n";
    String units "percentage (%)";
  }
  Dark_d13C {
    Float32 actual_range -20.68738, -9.52869;
    String long_name "Dark_d13c";
    String units "permille ( ‰)";
  }
  Dark_wt_percC {
    Float32 actual_range 5.281312, 49.54512;
    String long_name "Dark_wt_percc";
    String units "percentage (%)";
  }
  Dark_Atm_perc13C {
    Float32 actual_range 1.082976, 1.09518;
    String long_name "Dark_atm_perc13c";
    String units "percentage (%)";
  }
  Dark_Change_in_d15N {
    Float32 actual_range 5.233793, 396.694;
    String long_name "Dark_change_in_d15n";
    String units "permille ( ‰)";
  }
  Dark_Change_in_d13C {
    Float32 actual_range -0.8315192, 10.26896;
    String long_name "Dark_change_in_d13c";
    String units "permille ( ‰)";
  }
  Light_d15N {
    Float32 actual_range 7.405375, 1464.092;
    String long_name "Light_d15n";
    String units "permille ( ‰)";
  }
  Light_wt_percN {
    Float32 actual_range 0.3523712, 9.916605;
    String long_name "Light_wt_percn";
    String units "percentage (%)";
  }
  Light_Atm_perc15N {
    Float32 actual_range 0.3689959, 0.8977658;
    String long_name "Light_atm_perc15n";
    String units "percentage (%)";
  }
  Light_d13C {
    Float32 actual_range -19.2376, 393.2827;
    String long_name "Light_d13c";
    String units "permille ( ‰)";
  }
  Light_wt_percC {
    Float32 actual_range 1.866867, 45.98655;
    String long_name "Light_wt_percc";
    String units "percentage (%)";
  }
  Light_Atm_perc13C {
    Float32 actual_range 1.084561, 1.533744;
    String long_name "Light_atm_perc13c";
    String units "percentage (%)";
  }
  Light_Change_in_d15N {
    Float32 actual_range 2.328924, 1459.898;
    String long_name "Light_change_in_d15n";
    String units "permille ( ‰)";
  }
  Light_Change_in_d13C {
    Float32 actual_range 0.8188998, 414.1417;
    String long_name "Light_change_in_d13c";
    String units "permille ( ‰)";
  }
  Light_photo_d15N {
    Float32 actual_range -23.63561, 839.7053;
    String long_name "Light_photo_d15n";
    String units "permille ( ‰)";
  }
  light_photo_d13C {
    Float32 actual_range -0.1827913, 369.9834;
    String long_name "Light_photo_d13c";
    String units "permille ( ‰)";
  }
  Hetero_d15N {
    Float32 actual_range 5.233793, 396.694;
    String long_name "Hetero_d15n";
    String units "permille ( ‰)";
  }
  hetero_d13C {
    Float32 actual_range -0.8315192, 10.26896;
    String long_name "Hetero_d13c";
    String units "permille ( ‰)";
  }
  POM_heterotrophy_enriched_d13C {
    Float32 actual_range -20.21361, 211.4035;
    String long_name "Pom_heterotrophy_enriched_d13c";
    String units "permille ( ‰)";
  }
  POM_heterotrophy_enriched_d15N {
    Float32 actual_range 11.265, 630.6459;
    String long_name "Pom_heterotrophy_enriched_d15n";
    String units "permille ( ‰)";
  }
  Heterotrophy_POM_change_in_d13c {
    Float32 actual_range -17.21, 232.27;
    String long_name "Heterotrophy_pom_change_in_d13c";
    String units "permille ( ‰)";
  }
  Heterotrophy_POM_change_in_d15N {
    Float32 actual_range 11.23, 626.19;
    String long_name "Heterotrophy_pom_change_in_d15n";
    String units "permille ( ‰)";
  }
  POM_T60_CR {
    Float32 actual_range 7.302432, 701.3691;
    String long_name "Pom_t60_cr";
    String units "mililiters/hour";
  }
  POM_T120_CR {
    Float32 actual_range 6.615214, 515.7516;
    String long_name "Pom_t120_cr";
    String units "mililiters/hour";
  }
 }
  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.954735.1";
    Float64 Easternmost_Easting -82.26245;
    Float64 geospatial_lat_max 9.349457;
    Float64 geospatial_lat_min 9.349457;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -82.26245;
    Float64 geospatial_lon_min -82.26245;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-05-11T05:44:04Z (local files)
2025-05-11T05:44:04Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954735_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/954735";
    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 9.349457;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 9.349457;
    String summary "Photosymbionts expand the metabolic capabilities of host sponges, but their potential role in mediating niche partitioning on crowded and oligotrophic coral reefs is unknown. To address this question, we conducted two ex situ isotope tracer experiments with ten of the most ecologically dominant sponge species in the Caribbean. This research was carried out in Bocas del Toro, Panama. To target autotrophic and heterotrophic nutrient acquisition by microbial symbionts, we incubated sponges in seawater laced with the inorganic compounds NaH13CO3 and Na15NO3 under both light and dark conditions. We also measured host sponge heterotrophic feeding rates by incubating the same species with 13C- and 15N-labeled bacterial cells. Sponge cells isolated from sponge species hosting photosymbionts were significantly more enriched in 13C and 15N from inorganic sources, and 72 % of the variation in 13C and 15N enrichment across samples was explained by sponge species identity. Dark enrichment of 13C was minimal, but all species were enriched in 15N in the dark due to heterotrophic microbial nitrogen assimilation. Sponges rapidly consumed bacterial cells, but there was substantial variation in heterotrophic feeding rates among sponge species. When considering all three resource pools (symbiont autotrophy, symbiont heterotrophy, and sponge heterotrophy) and both elements, sponge species identity accounted for over 80 % of variation among specimens; in addition, we observed a clear separation of sponge species along a continuum of heterotrophic feeding on particulate organic matter to autotrophic metabolism via photosymbionts. These data demonstrate that the combined influence of sponge and photosymbiont metabolism enable coexisting sponge species to exploit unique resource pools on Caribbean reefs.";
    String title "[Autotrophy, heterotrophy, and niche partitioning in Caribbean sponges] - Autotrophy, heterotrophy and niche partitioning in Caribbean sponges sampled June 9, 2019 on reef sites around Bocas del Toro Panama. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges)";
    Float64 Westernmost_Easting -82.26245;
  }
}

 

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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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ERDDAP, Version 2.22
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