ERDDAP > tabledap > Data Access Form

Dataset Title:	[Isotopic niche space and microbiomes of Caribbean sponges] - Isotopic data from sponges collected in 2013 and 2014 from reefs in Honduras, Belize, Panama and the Florida Keys. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_954333_v1)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Species_name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Agelas conifera"	"Xestospongia muta"
Region_Country (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Belize"	"Summerland Key-Flo..."
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		9.243206	24.57819
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-88.11382	-81.44247
Month_and_year_of_collection (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2013-05"	"2014-05"
Ave_depth_ft (feet)	!= =~ <= >= = < >		!= =~ <= >= = < >		7	60
Freeman_Mean_Chla_Dry_wt (micrograms of chlorophyll a per gram of sponge tissue)	!= =~ <= >= = < >		!= =~ <= >= = < >		9.03	876.53
HL_Chla (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"High"	"Low"
HMA_LMA (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"HMA"	"LMA"
Site_Name (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Becerros"	"Wonderland Reef"
Site_Number (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Crawl Cay"	"Wonderland Reef"
Site_ID (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"B1"	"WR"
Species_Abbreviation (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Acau"	"Xmut"
d15N (permille)	!= =~ <= >= = < >		!= =~ <= >= = < >		-2.6	6.3
d13C (permille)	!= =~ <= >= = < >		!= =~ <= >= = < >		-22.2	-12.7
Percentage_N (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.1	14.8
Percentage_C (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.0	51.9
C_N (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.08	7.58

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Species_name Region_Country latitude longitude Month_and_year_of_collection Ave_depth_ft Freeman_Mean_Chla_Dry_wt HL_Chla HMA_LMA Site_Name Site_Number Site_ID Species_Abbreviation d15N d13C Percentage_N Percentage_C C_N Species_name Region_Country latitude longitude Month_and_year_of_collection Ave_depth_ft Freeman_Mean_Chla_Dry_wt HL_Chla HMA_LMA Site_Name Site_Number Site_ID Species_Abbreviation d15N d13C Percentage_N Percentage_C C_N Species_name Region_Country latitude longitude Month_and_year_of_collection Ave_depth_ft Freeman_Mean_Chla_Dry_wt HL_Chla HMA_LMA Site_Name Site_Number Site_ID Species_Abbreviation d15N d13C Percentage_N Percentage_C C_N Species_name Region_Country latitude longitude Month_and_year_of_collection Ave_depth_ft Freeman_Mean_Chla_Dry_wt HL_Chla HMA_LMA Site_Name Site_Number Site_ID Species_Abbreviation d15N d13C Percentage_N Percentage_C C_N Species_name Region_Country latitude longitude Month_and_year_of_collection Ave_depth_ft Freeman_Mean_Chla_Dry_wt HL_Chla HMA_LMA Site_Name Site_Number Site_ID Species_Abbreviation d15N d13C Percentage_N Percentage_C C_N ")

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_name {
    String long_name "Species_name";
    String units "unitless";
  }
  Region_Country {
    String long_name "Region_country";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 9.243206, 24.57819;
    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 -88.11382, -81.44247;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Month_and_year_of_collection {
    String long_name "Month_and_year_of_collection";
    String units "unitless";
  }
  Ave_depth_ft {
    Int32 actual_range 7, 60;
    String long_name "Ave_depth_ft";
    String units "feet";
  }
  Freeman_Mean_Chla_Dry_wt {
    Float32 actual_range 9.03, 876.53;
    String long_name "Freeman_mean_chla_dry_wt";
    String units "micrograms of chlorophyll a per gram of sponge tissue";
  }
  HL_Chla {
    String long_name "Hl_chla";
    String units "unitless";
  }
  HMA_LMA {
    String long_name "Hma_lma";
    String units "unitless";
  }
  Site_Name {
    String long_name "Site_name";
    String units "unitless";
  }
  Site_Number {
    String long_name "Site_number";
    String units "unitless";
  }
  Site_ID {
    String long_name "Site_id";
    String units "unitless";
  }
  Species_Abbreviation {
    String long_name "Species_abbreviation";
    String units "unitless";
  }
  d15N {
    Float32 actual_range -2.6, 6.3;
    String long_name "D15n";
    String units "permille";
  }
  d13C {
    Float32 actual_range -22.2, -12.7;
    String long_name "D13c";
    String units "permille";
  }
  Percentage_N {
    Float32 actual_range 1.1, 14.8;
    String long_name "Percentage_n";
    String units "percent";
  }
  Percentage_C {
    Float32 actual_range 5.0, 51.9;
    String long_name "Percentage_c";
    String units "percent";
  }
  C_N {
    Float32 actual_range 2.08, 7.58;
    String long_name "C_n";
    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.954333.1";
    Float64 Easternmost_Easting -81.44247;
    Float64 geospatial_lat_max 24.57819;
    Float64 geospatial_lat_min 9.243206;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -81.44247;
    Float64 geospatial_lon_min -88.11382;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-05-12T10:11:29Z (local files)
2025-05-12T10:11:29Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954333_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/954333";
    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 24.57819;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 9.243206;
    String summary "Marine sponges host diverse communities of microbial symbionts that expand the metabolic capabilities of their host, but the abundance and structure of these communities is highly variable across sponge species. Specificity in these interactions may fuel host niche partitioning on crowded coral reefs by allowing individual sponge species to exploit unique sources of carbon and nitrogen, but this hypothesis is yet to be tested. Given the presence of high sponge biomass and the coexistence of diverse sponge species, the Caribbean Sea provides a unique system in which to investigate this hypothesis. To test for ecological divergence among sympatric Caribbean sponges and investigate whether these trends are mediated by microbial symbionts, we measured stable isotope (δ13C and δ15N) ratios and characterized the microbial community structure of sponge species at sites within four regions spanning a 1700 km latitudinal gradient. Samples were collected in 2013 and 2014 from reefs in Honduras, Belize, Panama, and the Florida Keys. There was a low (median of 8.2 %) overlap in the isotopic niches of sympatric species; in addition, host identity accounted for over 75% of the dissimilarity in both δ13C and δ15N values and microbiome community structure among individual samples within a site. There was also a strong phylogenetic signal in both δ15N values and microbial community diversity across host phylogeny, as well as a correlation between microbial community structure and variation in δ13C and δ15N values across samples. Together, this evidence supports a hypothesis of strong evolutionary selection for ecological divergence across sponge lineages and suggests that this divergence is at least partially mediated by associations with microbial symbionts.";
    String title "[Isotopic niche space and microbiomes of Caribbean sponges] - Isotopic data from sponges collected in 2013 and 2014 from reefs in Honduras, Belize, Panama and the Florida Keys. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges)";
    Float64 Westernmost_Easting -88.11382;
  }
}

 

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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.
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• (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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