ERDDAP > tabledap > Data Access Form

Dataset Title:	[Demography of coral in the future] - Demography of coral in the future and various physical parameter predictions. (The ecophysiological basis of the response of coral larvae and early life history stages to global climate change)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_735069)
Information:	Summary | License | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Simulation (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"High_pCO2_Simulation"	"Temperature_Simula..."
Year (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	100
colony_density_stocastic1 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.198	16.1
colony_density_stocastic2 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.267	15.9
colony_density_stocastic3 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.232	16.0
colony_density_stocastic4 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.312	15.7
colony_density_stocastic5 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.206	16.2
colony_density_stocastic6 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.319	15.9
colony_density_stocastic7 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.342	15.7
colony_density_stocastic8 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.313	16.0
colony_density_stocastic9 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.275	15.8
colony_density_stocastic10 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.218	15.9
colony_density_deterministic11 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.289	15.5

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Simulation Year colony_density_stocastic1 colony_density_stocastic2 colony_density_stocastic3 colony_density_stocastic4 colony_density_stocastic5 colony_density_stocastic6 colony_density_stocastic7 colony_density_stocastic8 colony_density_stocastic9 colony_density_stocastic10 colony_density_deterministic11 Simulation Year colony_density_stocastic1 colony_density_stocastic2 colony_density_stocastic3 colony_density_stocastic4 colony_density_stocastic5 colony_density_stocastic6 colony_density_stocastic7 colony_density_stocastic8 colony_density_stocastic9 colony_density_stocastic10 colony_density_deterministic11 Simulation Year colony_density_stocastic1 colony_density_stocastic2 colony_density_stocastic3 colony_density_stocastic4 colony_density_stocastic5 colony_density_stocastic6 colony_density_stocastic7 colony_density_stocastic8 colony_density_stocastic9 colony_density_stocastic10 colony_density_deterministic11 Simulation Year colony_density_stocastic1 colony_density_stocastic2 colony_density_stocastic3 colony_density_stocastic4 colony_density_stocastic5 colony_density_stocastic6 colony_density_stocastic7 colony_density_stocastic8 colony_density_stocastic9 colony_density_stocastic10 colony_density_deterministic11 Simulation Year colony_density_stocastic1 colony_density_stocastic2 colony_density_stocastic3 colony_density_stocastic4 colony_density_stocastic5 colony_density_stocastic6 colony_density_stocastic7 colony_density_stocastic8 colony_density_stocastic9 colony_density_stocastic10 colony_density_deterministic11 ")

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).

(Documentation / Bypass this form )
 
Submit (Please be patient. It may take a while to get the data.)

 

---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Simulation {
    String bcodmo_name "brief_desc";
    String description "Type of simulation";
    String long_name "Simulation";
    String units "unitless";
  }
  Year {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 100;
    String bcodmo_name "year";
    String description "Year of simulation";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "count";
  }
  colony_density_stocastic1 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.198, 16.1;
    String bcodmo_name "density";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Stocastic1";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
  colony_density_stocastic2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.267, 15.9;
    String bcodmo_name "temperature";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Stocastic2";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
  colony_density_stocastic3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.232, 16.0;
    String bcodmo_name "pCO2";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Stocastic3";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
  colony_density_stocastic4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.312, 15.7;
    String bcodmo_name "count";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Stocastic4";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
  colony_density_stocastic5 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.206, 16.2;
    String bcodmo_name "density";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Stocastic5";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
  colony_density_stocastic6 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.319, 15.9;
    String bcodmo_name "temperature";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Stocastic6";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
  colony_density_stocastic7 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.342, 15.7;
    String bcodmo_name "pCO2";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Stocastic7";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
  colony_density_stocastic8 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.313, 16.0;
    String bcodmo_name "count";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Stocastic8";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
  colony_density_stocastic9 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.275, 15.8;
    String bcodmo_name "temperature";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Stocastic9";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
  colony_density_stocastic10 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.218, 15.9;
    String bcodmo_name "pCO2";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Stocastic10";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PCO2C101/";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
  colony_density_deterministic11 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.289, 15.5;
    String bcodmo_name "density";
    String description "11 simulations, 10 of which based on the variability of the parameters fecundity and survival";
    String long_name "Colony Density Deterministic11";
    String units "Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description "Methodology described in the associated paper.";
    String awards_0_award_nid "55016";
    String awards_0_award_number "OCE-0844785";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0844785";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Transect data 
  P. Edmunds, PI 
  Version 18 September 2018";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2018-05-04T19:03:36Z";
    String date_modified "2019-03-21T20:28:40Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.735069.1";
    String history 
"2024-11-21T08:59:49Z (local files)
2024-11-21T08:59:49Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_735069.html";
    String infoUrl "https://www.bco-dmo.org/dataset/735069";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, colony, colony_density_deterministic11, colony_density_stocastic1, colony_density_stocastic10, colony_density_stocastic2, colony_density_stocastic3, colony_density_stocastic4, colony_density_stocastic5, colony_density_stocastic6, colony_density_stocastic7, colony_density_stocastic8, colony_density_stocastic9, data, dataset, density, deterministic11, dmo, erddap, management, oceanography, office, preliminary, simulation, stocastic1, stocastic10, stocastic2, stocastic3, stocastic4, stocastic5, stocastic6, stocastic7, stocastic8, stocastic9, year";
    String license "https://www.bco-dmo.org/dataset/735069/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/735069";
    String param_mapping "{'735069': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/735069/parameters";
    String people_0_affiliation "California State University Northridge";
    String people_0_affiliation_acronym "CSU-Northridge";
    String people_0_person_name "Peter J. Edmunds";
    String people_0_person_nid "51536";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Laboratoire d'Écogéochimie des Environnements Benthiques";
    String people_1_affiliation_acronym "LECOB";
    String people_1_person_name "Dr Lorenzo Bramanti";
    String people_1_person_nid "562094";
    String people_1_role "Scientist";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Hannah Ake";
    String people_2_person_nid "650173";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Climate_Coral_Larvae";
    String projects_0_acronym "Climate_Coral_Larvae";
    String projects_0_description 
"Tropical coral reefs face a suite of environmental assaults ranging from anchor damage to the effects of global climate change (GCC). The consequences are evident throughout the tropics, where many coral reefs have lost a substantial fraction of their coral cover in a few decades. Notwithstanding the importance of reducing the impacts of environmental stresses, the only means by which these ecosystems can recover (or simply persist) is through the recruitment of scleractinians, which is a function of successful larval development, delivery, settlement, metamorphosis, and post-settlement events. Despite wide recognition of the importance of these processes, there are few pertinent empirical data, and virtually none that address the mechanisms mediating the success of early coral life stages in a physical environmental varying at multiple spatio-temporal scales.
The objective of this research is to complete one of the first comprehensive ecophysiological analyses of the early life stages of corals through a description of: (1) their functionality under 'normal' conditions, and (2) their response to the main drivers of GCC. These analyses will be completed for 2 species representative of a brooding life history strategy, and the experiments will be completed in two locations, one (Taiwan) that provides unrivalled experience in coral reproductive biology, and superb microcosm facilities, and the other (Moorea), with access to a relatively pristine environment, a well described ecological and oceanographic context (through the MCR-LTER), and the capacity to bring a strong biogeographic contrast to the project. The results of the study will be integrated through modeling to explore the effects of GCC on coral community structure over the next century.
The following publications and data resulted from this project:
2013    Wall CB, Fan TY, Edmunds PJ.  Ocean acidification has no effect on thermal bleaching in the coral Seriatopora caliendrum.  Coral Reefs 33: 119-130.Symbiodinium_Seriatopora photosynthesisSymbiodinium_Seriatopora PI curveSymbiodinium_Seriatopora temp-salinity-lightSymbiodinium_Seriatopora water chemistry- Download complete data for this publication (Excel file)
2013    Wall CB, Edmunds PJ. In situ effects of low pH and elevated HCO3- on juvenile Porites spp. in Moorea, French Polynesia.  Biological Bulletin 225:92-101.
Data at MCR and PANGEA: doi.pangaea.de/10.1594/PANGAEA.833913- Download complete data for this publication (Excel file)
2013    Vivian R Cumbo, Peter J Edmunds, Christopher B Wall, Tung-Yung Fan. Brooded coral larvae differ in their response to high temperature and elevated pCO2 depending on the day of release.  Marine Biology DOI 10.1007/s00227-013-2280-y.
Data also at PANGEA: doi.pangaea.de/10.1594/PANGAEA.831612brooded coral larvae 2 - carbonate chemistrybrooded coral larvae 2 - larval release March 2003-2008brooded coral larvae 2 - respiration_photosyth_mortality- Download complete data for this publication (Excel file)
2013    Edmunds PJ, Cumbo VR, Fan TY. Metabolic costs of larval settlement and metamorphosis in the coral Seriatopora caliendrum under ambient and elevated pCO2.  Journal Experimental Marine Biology and Ecology 443: 33-38 Data also at PANGEA: doi:10.1594/PANGAEA.821644Coral post-settlement physiology- Download complete data for this publication (Excel file)
2013    Aaron M Dufault, Aaron Ninokawa, Lorenzo Bramanti, Vivian R Cumbo, Tung-Yung Fan, Peter J Edmunds.  The role of light in mediating the effects of ocean acidification on coral calcification.  Journal of Experimental Biology 216: 1570-1577.coral-light expt.- PARcoral-light expt.- carbonate chemistrycoral-light expt.- temp_salinitycoral-light expt.- growthcoral-light expt.- proteincoral-light expt.- survival- Download complete data for this publication (Excel file)
2012    Cumbo, VR, Fan TY, Edmunds PJ. Effects of exposure duration on the response of Pocillopora damicornis larvae to elevated temperature and high pCO2.  J Exp Mar Biol Ecol 439: 100-107.
Data is also at PANGEA: doi:10.1594/PANGAEA.823582brooded coral larvae 3 - carbonate chemistrybrooded coral larvae 3 - lightbrooded coral larvae 3 - mortalitybrooded coral larvae 3 - proteinbrooded coral larvae 3 - respiration and proteinbrooded coral larvae 3 - respiration raw databrooded coral larvae 3 - symbiont densitybrooded coral larvae 3 - tank temperature- Download part 1 of data for this publication (Excel file)- Download tank parameters data for this publication (Excel file)
2012    Cumbo, VR, Fan TY, Edmunds PJ.  Physiological development of brooded larvae from two pocilloporid corals in Taiwan.  Marine Biology 159: 2853-2866.brooded coral - carbonate chemistrybrooded coral - releasebrooded coral - respirationbrooded coral - settlement competencybrooded coral - size_Julybrooded coral - size_protein_symbionts_photosynth- Download complete data for this publication (Excel file)
2012    Dufault, Aaron M; Vivian R Cumbo; Tung-Yung Fan; Peter J Edmunds.  Effects of diurnally oscillating pCO2 on the calcification and survival of coral recruits.  Royal Society of London (B) 279: 2951-2958.  doi:10.1098/rspb.2011.2545
Data is also at PANGEA: doi:10.1594/PANGAEA.830185recruit_growth_arearecruit_growth_weightrecruit_seawater_chemistryrecruit_survival- Download complete data for this publication (Excel file)
2011    Edmunds PJ, Cumbo V, Fan TY.  Effects of temperature on the respiration of brooded larvae from tropical reef corals.  Journal of Experimental Biology 214: 2783-2790. CoralLarvae_comparison_respirCoralLarvae_releaseCoralLarvae_respirCoralLarvae_size- Download complete data for this publication (Excel file)";
    String projects_0_end_date "2013-06";
    String projects_0_geolocation "Moorea, French Polynesia; Southern Taiwan; California State University Northridge";
    String projects_0_name "The ecophysiological basis of the response of coral larvae and early life history stages to global climate change";
    String projects_0_project_nid "2235";
    String projects_0_start_date "2009-07";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Demography of coral in the future and various physical parameter predictions.";
    String title "[Demography of coral in the future] - Demography of coral in the future and various physical parameter predictions. (The ecophysiological basis of the response of coral larvae and early life history stages to global climate change)";
    String version "1";
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

---

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.

 

---

ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact