ERDDAP > tabledap > Data Access Form

Dataset Title:	AMIS_DigTwin_LesBonnettes_XBeach_rcp85_2050_hs_150_wl_0661_table
Institution:	Consorzio LaMMA   (Dataset ID: amis_digtwin_lesbonnettes_xbeach_rcp85_2050_hs_150_wl_0661_table)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
row (indice della riga)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	30449
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		1970-01-01T00:00:00Z
ny_index	!= =~ <= >= = < >		!= =~ <= >= = < >		0	144
nx_index	!= =~ <= >= = < >		!= =~ <= >= = < >		0	209
x (x Lambert-93 (EPSG:2154), m)	!= =~ <= >= = < >		!= =~ <= >= = < >		944826.95332	946369.22198
y (y Lambert-93 (EPSG:2154), m)	!= =~ <= >= = < >		!= =~ <= >= = < >		6225747.66775	6227281.23455
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		6.005519147271715	6.0244423599572485
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		43.08878708950389	43.102626740631756
zb_init (initial bed level, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		-30.24279	10.11292
zb_fin (final bed level, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		-30.24279	10.11292
zs_mean (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.2759239	1.636251
zs_max (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.4929454	2.01395

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" row time ny_index nx_index x y longitude latitude zb_init zb_fin zs_mean zs_max row time ny_index nx_index x y longitude latitude zb_init zb_fin zs_mean zs_max row time ny_index nx_index x y longitude latitude zb_init zb_fin zs_mean zs_max row time ny_index nx_index x y longitude latitude zb_init zb_fin zs_mean zs_max row time ny_index nx_index x y longitude latitude zb_init zb_fin zs_mean zs_max ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .croissant - Download the dataset croissant schema. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .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. .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 19115/19139 UTF-8 .xml metadata using the version default for this server. .iso19115_2 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .iso19115_3_2016 - View the dataset's ISO 19115-3:2016 UTF-8 .xml metadata. .iso19139_2007 - View the dataset's ISO 19139:2007 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). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = '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). .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. .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. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc 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). .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units"). .parquetWMeta - Download as a parquet file with detailed metadata. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (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. .largePdf - View a large .pdf image file with a graph or map. .largePng - View a large .png image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .smallPdf - View a small .pdf image file with a graph or map. .smallPng - View a small .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 {
  row {
    UInt32 _ChunkSizes 30450;
    Int32 actual_range 0, 30449;
    String ioos_category "Identifier";
    String long_name "indice della riga";
  }
  time {
    UInt32 _ChunkSizes 30450;
    String _CoordinateAxisType "Time";
    Float64 actual_range 0.0, 0.0;
    String axis "T";
    String ioos_category "Time";
    String long_name "tempo (convenzionale: scenario senza tempo)";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  ny_index {
    UInt32 _ChunkSizes 30450;
    Int32 actual_range 0, 144;
    String ioos_category "Location";
    String long_name "indice ny della griglia del modello";
  }
  nx_index {
    UInt32 _ChunkSizes 30450;
    Int32 actual_range 0, 209;
    String ioos_category "Location";
    String long_name "indice nx della griglia del modello";
  }
  x {
    UInt32 _ChunkSizes 30450;
    Float64 actual_range 944826.95332, 946369.22198;
    String ioos_category "Location";
    String long_name "x Lambert-93 (EPSG:2154)";
    String standard_name "projection_x_coordinate";
    String units "m";
  }
  y {
    UInt32 _ChunkSizes 30450;
    Float64 actual_range 6225747.66775, 6227281.23455;
    String ioos_category "Location";
    String long_name "y Lambert-93 (EPSG:2154)";
    String standard_name "projection_y_coordinate";
    String units "m";
  }
  longitude {
    UInt32 _ChunkSizes 30450;
    String _CoordinateAxisType "Lon";
    Float64 actual_range 6.005519147271715, 6.0244423599572485;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    UInt32 _ChunkSizes 30450;
    String _CoordinateAxisType "Lat";
    Float64 actual_range 43.08878708950389, 43.102626740631756;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  zb_init {
    UInt32 _ChunkSizes 30450;
    Float32 _FillValue -3.402823e+38;
    Float32 actual_range -30.24279, 10.11292;
    String ioos_category "Bathymetry";
    String long_name "initial bed level";
    String standard_name "altitude";
    String units "m";
  }
  zb_fin {
    UInt32 _ChunkSizes 30450;
    Float32 _FillValue -3.402823e+38;
    Float32 actual_range -30.24279, 10.11292;
    String ioos_category "Bathymetry";
    String long_name "final bed level";
    String standard_name "altitude";
    String units "m";
  }
  zs_mean {
    UInt32 _ChunkSizes 30450;
    Float32 _FillValue -3.402823e+38;
    Float32 actual_range 0.2759239, 1.636251;
    String cell_methods "time: mean";
    String ioos_category "Sea Level";
    String long_name "mean water level over wet intervals";
    String standard_name "sea_surface_height_above_sea_level";
    String units "m";
  }
  zs_max {
    UInt32 _ChunkSizes 30450;
    Float32 _FillValue -3.402823e+38;
    Float32 actual_range 0.4929454, 2.01395;
    String cell_methods "time: maximum";
    String ioos_category "Sea Level";
    String long_name "maximum water level over wet intervals";
    String standard_name "sea_surface_height_above_sea_level";
    String units "m";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.9.3,hdf5=1.14.6";
    String amis_file_origine "/DATA/DATI_AMIS/lesbonnettes/Xbeach_output/RCP85_2050/2050_RCP85_Hs1p50_wl0p661.nc";
    String amis_sistema_coordinate "Lambert-93 (EPSG:2154) e WGS84";
    String amis_sito "Les Bonnettes (Le Pradet, Francia)";
    String amis_trasformazione "tabella: una riga per cella della griglia del modello, senza interpolazione";
    String amis_trasformazione_versione "EAM-06 1";
    String cdm_data_type "Point";
    String Conventions "CF-1.4, COARDS, ACDD-1.3";
    String creator_name "Consorzio LaMMA";
    String creator_type "institution";
    String creator_url "https://www.lamma.toscana.it/";
    Float64 Easternmost_Easting 6.0244423599572485;
    String featureType "Point";
    Float64 geospatial_lat_max 43.102626740631756;
    Float64 geospatial_lat_min 43.08878708950389;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 6.0244423599572485;
    Float64 geospatial_lon_min 6.005519147271715;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-11-10T13:28:05Z Erddap-AMIS trasforma_xbeach.py (EAM-06 1): tabella: una riga per cella della griglia del modello, senza interpolazione
2026-11-15T01:50:44Z (local files)
2026-11-15T01:50:44Z https://erddap.lamma.toscana.it/erddap/tabledap/amis_digtwin_lesbonnettes_xbeach_rcp85_2050_hs_150_wl_0661_table.html";
    String infoUrl "https://www.lamma.toscana.it/";
    String institution "Consorzio LaMMA";
    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 43.102626740631756;
    String Producer "Reduced from XBeach xboutput.nc";
    String project "AMIS Digital Twin";
    String simulation "2050_RCP85_Hs1p50_wl0p661";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.08878708950389;
    String subsetVariables "time";
    String summary "AMIS Digital Twin, Les Bonnettes (Le Pradet, Francia): scenario RCP85 2050, Hs 1.50 m, wl 0.661 m, una riga per cella del modello (x, y Lambert-93 e lon/lat).";
    String time_coverage_end "1970-01-01T00:00:00Z";
    String time_coverage_start "1970-01-01T00:00:00Z";
    String title "AMIS_DigTwin_LesBonnettes_XBeach_rcp85_2050_hs_150_wl_0661_table";
    Float64 Westernmost_Easting 6.005519147271715;
  }
}

 

---

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.