ERDDAP > tabledap > Data Access Form

Dataset Title:	Goby distribution and morphology data from Curlew Caye in the Belizean Barrier Reef collected in 2011.
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_728230)
Information:	Summary | License | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"2011/05/28"	"2011/08/22"
lunar_date (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	28
waypoint_id (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		8	998
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		16.78661667	16.79181667
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		88.07538333	88.07711667
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		10.0	25.0
sponge_tubes (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	8
max_tube_length (centimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		9	91
fish_1_0 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
fish_n (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	17
residents_n (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	5
settlers_n (count)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	12
SL_1 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		9	57
code_1 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC054B"	"NaN"
SL_2 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		"10"	"NaN"
code_2 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC054C"	"NaN"
SL_3 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		9	37
code_3 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC054A"	"NaN"
SL_4 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		9	25
code_4 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069P"	"NaN"
SL_5 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		9	19
code_5 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069J"	"NaN"
SL_6 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		9	13
code_6 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069K"	"NaN"
SL_7 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		9	13
code_7 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069L"	"NaN"
SL_8 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		9	12
code_8 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069D"	"NaN"
SL_9 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		11	11
code_9 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069A"	"NaN"
SL_10 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		11	11
code_10 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069E"	"NaN"
SL_11 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		11	11
code_11 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069I"	"NaN"
SL_12 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		10	10
code_12 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069B"	"NaN"
SL_13 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		10	10
code_13 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069C"	"NaN"
SL_14 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		10	10
code_14 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069F"	"NaN"
SL_15 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		10	10
code_15 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069G"	"NaN"
SL_16 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		10	10
code_16 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CC069H"	"NaN"
SL_17 (millimeters)	!= =~ <= >= = < >		!= =~ <= >= = < >		NaN
code_17 (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		NaN

 

Server-side Functions

distinct()

orderBy orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean (" date lunar_date waypoint_id latitude longitude depth sponge_tubes max_tube_length fish_1_0 fish_n residents_n settlers_n SL_1 code_1 SL_2 code_2 SL_3 code_3 SL_4 code_4 SL_5 code_5 SL_6 code_6 SL_7 code_7 SL_8 code_8 SL_9 code_9 SL_10 code_10 SL_11 code_11 SL_12 code_12 SL_13 code_13 SL_14 code_14 SL_15 code_15 SL_16 code_16 SL_17 code_17 date lunar_date waypoint_id latitude longitude depth sponge_tubes max_tube_length fish_1_0 fish_n residents_n settlers_n SL_1 code_1 SL_2 code_2 SL_3 code_3 SL_4 code_4 SL_5 code_5 SL_6 code_6 SL_7 code_7 SL_8 code_8 SL_9 code_9 SL_10 code_10 SL_11 code_11 SL_12 code_12 SL_13 code_13 SL_14 code_14 SL_15 code_15 SL_16 code_16 SL_17 code_17 date lunar_date waypoint_id latitude longitude depth sponge_tubes max_tube_length fish_1_0 fish_n residents_n settlers_n SL_1 code_1 SL_2 code_2 SL_3 code_3 SL_4 code_4 SL_5 code_5 SL_6 code_6 SL_7 code_7 SL_8 code_8 SL_9 code_9 SL_10 code_10 SL_11 code_11 SL_12 code_12 SL_13 code_13 SL_14 code_14 SL_15 code_15 SL_16 code_16 SL_17 code_17 date lunar_date waypoint_id latitude longitude depth sponge_tubes max_tube_length fish_1_0 fish_n residents_n settlers_n SL_1 code_1 SL_2 code_2 SL_3 code_3 SL_4 code_4 SL_5 code_5 SL_6 code_6 SL_7 code_7 SL_8 code_8 SL_9 code_9 SL_10 code_10 SL_11 code_11 SL_12 code_12 SL_13 code_13 SL_14 code_14 SL_15 code_15 SL_16 code_16 SL_17 code_17 date lunar_date waypoint_id latitude longitude depth sponge_tubes max_tube_length fish_1_0 fish_n residents_n settlers_n SL_1 code_1 SL_2 code_2 SL_3 code_3 SL_4 code_4 SL_5 code_5 SL_6 code_6 SL_7 code_7 SL_8 code_8 SL_9 code_9 SL_10 code_10 SL_11 code_11 SL_12 code_12 SL_13 code_13 SL_14 code_14 SL_15 code_15 SL_16 code_16 SL_17 code_17 ")

File type: (more info) .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 {
  date {
    String bcodmo_name "date";
    String description "Date of collection; YYYY/MM/DD";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  lunar_date {
    Byte _FillValue 127;
    Byte actual_range 0, 28;
    String bcodmo_name "day";
    String description "Lunar day of collection";
    String long_name "Lunar Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "unitless";
  }
  waypoint_id {
    Int16 _FillValue 32767;
    Int16 actual_range 8, 998;
    String bcodmo_name "site";
    String description "Location ID";
    String long_name "Waypoint Id";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 16.78661667, 16.79181667;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range 88.07538333, 88.07711667;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 10.0, 25.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth at base of sponge";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  sponge_tubes {
    Byte _FillValue 127;
    Byte actual_range 1, 8;
    String bcodmo_name "count";
    String description "Number of tubes per sponge";
    String long_name "Sponge Tubes";
    String units "count";
  }
  max_tube_length {
    Byte _FillValue 127;
    Byte actual_range 9, 91;
    String bcodmo_name "length_max";
    String description "Size of largest tube";
    String long_name "Max Tube Length";
    String units "centimeters";
  }
  fish_1_0 {
    Byte _FillValue 127;
    Byte actual_range 0, 1;
    String bcodmo_name "site_descrip";
    String description "Presence (1) or absence (0) of any fish";
    String long_name "Fish 1 0";
    String units "unitless";
  }
  fish_n {
    Byte _FillValue 127;
    Byte actual_range 0, 17;
    String bcodmo_name "count";
    String description "Number of fish at sponge";
    String long_name "Fish N";
    String units "count";
  }
  residents_n {
    Byte _FillValue 127;
    Byte actual_range 0, 5;
    String bcodmo_name "count";
    String description "Number of residents at sponge";
    String long_name "Residents N";
    String units "count";
  }
  settlers_n {
    Byte _FillValue 127;
    Byte actual_range 0, 12;
    String bcodmo_name "count";
    String description "Number of settlers at sponge";
    String long_name "Settlers N";
    String units "count";
  }
  SL_1 {
    Byte _FillValue 127;
    Byte actual_range 9, 57;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 1";
    String units "millimeters";
  }
  code_1 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 1";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_2 {
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 2";
    String units "millimeters";
  }
  code_2 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_3 {
    Byte _FillValue 127;
    Byte actual_range 9, 37;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 3";
    String units "millimeters";
  }
  code_3 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 3";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_4 {
    Byte _FillValue 127;
    Byte actual_range 9, 25;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 4";
    String units "millimeters";
  }
  code_4 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 4";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_5 {
    Byte _FillValue 127;
    Byte actual_range 9, 19;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 5";
    String units "millimeters";
  }
  code_5 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 5";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_6 {
    Byte _FillValue 127;
    Byte actual_range 9, 13;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 6";
    String units "millimeters";
  }
  code_6 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 6";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_7 {
    Byte _FillValue 127;
    Byte actual_range 9, 13;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 7";
    String units "millimeters";
  }
  code_7 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 7";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_8 {
    Byte _FillValue 127;
    Byte actual_range 9, 12;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 8";
    String units "millimeters";
  }
  code_8 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 8";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_9 {
    Byte _FillValue 127;
    Byte actual_range 11, 11;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 9";
    String units "millimeters";
  }
  code_9 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 9";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_10 {
    Byte _FillValue 127;
    Byte actual_range 11, 11;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 10";
    String units "millimeters";
  }
  code_10 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 10";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_11 {
    Byte _FillValue 127;
    Byte actual_range 11, 11;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 11";
    String units "millimeters";
  }
  code_11 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 11";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_12 {
    Byte _FillValue 127;
    Byte actual_range 10, 10;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 12";
    String units "millimeters";
  }
  code_12 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 12";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_13 {
    Byte _FillValue 127;
    Byte actual_range 10, 10;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 13";
    String units "millimeters";
  }
  code_13 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 13";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_14 {
    Byte _FillValue 127;
    Byte actual_range 10, 10;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 14";
    String units "millimeters";
  }
  code_14 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 14";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_15 {
    Byte _FillValue 127;
    Byte actual_range 10, 10;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 15";
    String units "millimeters";
  }
  code_15 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 15";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_16 {
    Byte _FillValue 127;
    Byte actual_range 10, 10;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 16";
    String units "millimeters";
  }
  code_16 {
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 16";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  SL_17 {
    Float64 _FillValue NaN;
    String bcodmo_name "unknown";
    String description "Standard length of fish corresponding to fish ID found on sponge";
    String long_name "SL 17";
    String units "millimeters";
  }
  code_17 {
    Float64 _FillValue NaN;
    String bcodmo_name "sample";
    String description "Unique ID assigned to fish found on sponge";
    String long_name "Code 17";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"We surveyed a 500 m long by 125 m wide study area on the reef at Curlew Caye,
Belize by SCUBA to map and collect tissue samples from all Elactinus lori
individuals, at depths from 10 m to 25 m. We began by fully censusing the
focal study area: we marked the location of all host sponges (Aplysina
fistularis) and fish (E. lori). GPS data were collected with a Garmin GPSMAP
76Cx unit in an underwater housing. Waypoints are accurate within 5 m. At each
sponge we recorded: depth (m, using dive computers), number of tubes per
sponge, length of largest sponge tube (nearest cm, using a tape measure). We
also counted the number of fish per sponge, and noted which life history stage
they fell into: resident \\u2265 18 mm standard length (SL) or settler (<18 mm
SL).";
    String awards_0_award_nid "544434";
    String awards_0_award_number "OCE-1260424";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1260424";
    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 
"Goby Distribution and Abundance 
  P. Buston and C. D'Aloia, PIs 
  Version 23 Feb 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 "2018-02-23T22:42:58Z";
    String date_modified "2019-03-19T15:35:31Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.728230.1";
    Float64 Easternmost_Easting 88.07711667;
    Float64 geospatial_lat_max 16.79181667;
    Float64 geospatial_lat_min 16.78661667;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 88.07711667;
    Float64 geospatial_lon_min 88.07538333;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 25.0;
    Float64 geospatial_vertical_min 10.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-24T23:47:23Z (local files)
2024-04-24T23:47:23Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_728230.html";
    String infoUrl "https://www.bco-dmo.org/dataset/728230";
    String institution "BCO-DMO";
    String instruments_0_dataset_instrument_description "Used to collect GPS data";
    String instruments_0_dataset_instrument_nid "728248";
    String instruments_0_description "Acquires satellite signals and tracks your location.";
    String instruments_0_instrument_name "GPS receiver";
    String instruments_0_instrument_nid "706037";
    String instruments_0_supplied_name "GPSMAP 76Cx (Garmin)";
    String keywords "bco, bco-dmo, biological, chemical, code, code_1, code_10, code_11, code_12, code_13, code_14, code_15, code_16, code_17, code_2, code_3, code_4, code_5, code_6, code_7, code_8, code_9, data, dataset, date, depth, dmo, erddap, fish, fish_1_0, fish_n, latitude, length, longitude, lunar, lunar_date, management, max, max_tube_length, oceanography, office, preliminary, residents, residents_n, settlers, settlers_n, SL_1, SL_10, SL_11, SL_12, SL_13, SL_14, SL_15, SL_16, SL_17, SL_2, SL_3, SL_4, SL_5, SL_6, SL_7, SL_8, SL_9, sponge, sponge_tubes, time, tube, tubes, waypoint, waypoint_id";
    String license "https://www.bco-dmo.org/dataset/728230/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/728230";
    Float64 Northernmost_Northing 16.79181667;
    String param_mapping "{'728230': {'lat': 'master - latitude', 'depth': 'master - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/728230/parameters";
    String people_0_affiliation "Boston University";
    String people_0_affiliation_acronym "BU";
    String people_0_person_name "Dr Peter Buston";
    String people_0_person_nid "544437";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI";
    String people_1_person_name "Dr Cassidy C. D'Aloia";
    String people_1_person_nid "704789";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Boston University";
    String people_2_affiliation_acronym "BU";
    String people_2_person_name "Dr Peter Buston";
    String people_2_person_nid "544437";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Hannah Ake";
    String people_3_person_nid "650173";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Elacatinus Dispersal I";
    String projects_0_acronym "Elacatinus Dispersal I";
    String projects_0_description 
"Understanding the patterns, causes and consequences of larval dispersal is a major goal of 21st century marine ecology. Patterns of dispersal determine the rates of larval exchange, or connectivity, between populations. Both physical factors (e.g., water movement) and biological factors (e.g., larval behavior) cause variation in population connectivity. Population connectivity, in turn, has major consequences for all aspects of an organism's biology, from individual behavior to metapopulation dynamics, and from evolution within metapopulations to the origin and extinction of species. Further, understanding population connectivity is critical for the design of effective networks of marine reserves, creation of vital tools in conservation, and the development of sustainable fisheries.
Over the last decade, three methods, each of which tells something slightly different, have emerged as leading contenders to provide the greatest insights into population connectivity. First, coupled biophysical models make assumptions regarding water flow, larval behavior and ecology, to predict population connectivity. Second, indirect genetic methods use spatial distributions of allele frequencies to infer population connectivity. Third, direct genetic methods use parentage analyses, tracing recruits to specific adults, to measure population connectivity. Despite advances, lack of integration means that we do not know the predictive skill of biophysical models, or the extent to which patterns of dispersal predict spatial genetic structure. The overall objective of this proposal is to conduct an integrated investigation of population connectivity, using all three methods in one tractable system: the neon goby, Elacatinus lori, on the Belizean Barrier Reef. There are three motives for this choice of study system: i) fourteen highly polymorphic microsatellite loci have been developed, facilitating the assignment of recruits to parents using parentage analyses and the measurement of dispersal; ii) the physical oceanography of the Belizean Barrier Reef is well-studied, facilitating the development and testing of coupled biophysical models; and, iii) E. lori has a relatively small biogeographic range, facilitating analysis of the spatial distribution of allele frequencies throughout its range.
Broader Impacts. The grant will support one postdoc and two graduate students who will be trained in scientific diving, marine fieldwork, population genetics, biophysical modeling, and mathematical modeling, and will gain collaborative research experience. PIs will incorporate research findings in their courses, which cover all these topics. The grant will also broaden participation of under-represented groups by supporting six undergraduates from groups traditionally underrepresented in STEM fields. In each year of the project there will be an All Participants meeting to reinforce the network of participants. A project website will be developed, in English and Spanish, on the theme of larval dispersal and population connectivity. This will include a resource for K-12 marine science educators developed in collaboration with a marine science educator. All PIs will ensure that results are broadly disseminated to the scientific community and general public via appropriate forms of media.";
    String projects_0_end_date "2017-02";
    String projects_0_geolocation "Belizean Barrier Reef System (16.803 degrees North  88.096 degrees West)";
    String projects_0_name "An Integrative Investigation of Population Connectivity Using a Coral Reef Fish";
    String projects_0_project_nid "544435";
    String projects_0_project_website "http://people.bu.edu/buston/lab/Welcome.html";
    String projects_0_start_date "2013-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 16.78661667;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "SL_17,code_17";
    String summary "Goby distribution and morphology data from Curlew Caye in the Belizean Barrier Reef collected in 2011.";
    String title "Goby distribution and morphology data from Curlew Caye in the Belizean Barrier Reef collected in 2011.";
    String version "1";
    Float64 Westernmost_Easting 88.07538333;
    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 2.02
Disclaimers | Privacy Policy | Contact