ERDDAP > tabledap > Data Access Form

Dataset Title:	Erie - Monthly - GLISA - General
Institution:	NOAA (NOAA)   (Dataset ID: glisa_general_monthly_erie)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
platform (Station ID)	!= =~ <= >= = < >		!= =~ <= >= = < >		"erie_monthly"	"erie_monthly"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		42.066887	42.066887
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-81.339943	-81.339943
time (Date, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		1918-01-01T00:00:00Z	2024-10-01T00:00:00Z
Year	!= =~ <= >= = < >		!= =~ <= >= = < >		1918	2024
Month	!= =~ <= >= = < >		!= =~ <= >= = < >		1	12
Water_Level_m (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		173.18	175.14
Lake_Ice_Concentration_percent (percent)	!= =~ <= >= = < >		!= =~ <= >= = < >
Surface_Water_Temperature_degF (degree_Fahrenheit)	!= =~ <= >= = < >		!= =~ <= >= = < >		32.358714285714285	78.24606451612904
Water_Level_ft (Great Lakes Water Levels, ft)	!= =~ <= >= = < >		!= =~ <= >= = < >		173.135544	175.09540800000002
Surface_Water_Temperature_degC (degree_Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.2	25.69

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" platform latitude longitude time Year Month Water_Level_m Lake_Ice_Concentration_percent Surface_Water_Temperature_degF Water_Level_ft Surface_Water_Temperature_degC platform latitude longitude time Year Month Water_Level_m Lake_Ice_Concentration_percent Surface_Water_Temperature_degF Water_Level_ft Surface_Water_Temperature_degC platform latitude longitude time Year Month Water_Level_m Lake_Ice_Concentration_percent Surface_Water_Temperature_degF Water_Level_ft Surface_Water_Temperature_degC platform latitude longitude time Year Month Water_Level_m Lake_Ice_Concentration_percent Surface_Water_Temperature_degF Water_Level_ft Surface_Water_Temperature_degC platform latitude longitude time Year Month Water_Level_m Lake_Ice_Concentration_percent Surface_Water_Temperature_degF Water_Level_ft Surface_Water_Temperature_degC ")

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 {
  platform {
    String actual_range 
"erie_monthly
erie_monthly";
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station ID";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 42.066887, 42.066887;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -81.339943, -81.339943;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -1.6409952e+9, 1.7277408e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Date";
    String source_name "Date";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Year {
    Int32 _FillValue 9999;
    Int32 actual_range 1918, 2024;
    String ioos_category "Time";
    String long_name "Year";
  }
  Month {
    Int32 _FillValue 9999;
    Int32 actual_range 1, 12;
    String ioos_category "Time";
    String long_name "Month";
  }
  Water_Level_m {
    Float64 _FillValue -9999.0;
    Float64 actual_range 173.18, 175.14;
    String destination_name "Lake_Level_m";
    String ioos_category "Sea Level";
    String level_desc "Surface";
    String long_name "Monthly Average Great Lakes Water Levels";
    Float64 missing_value NaN;
    String standard_name "surface_elevation";
    String units "m";
    String var_desc "The monthly lake-wide average water levels for a Great Lake.";
  }
  Lake_Ice_Concentration_percent {
    Float64 _FillValue -9999.0;
    String ioos_category "Ice Distribution";
    String level_desc "Surface";
    String long_name "Great Lakes Percent Ice Coverage";
    Float64 missing_value NaN;
    String standard_name "sea_ice_area_fraction";
    String units "percent";
    String var_desc "The monthly lake-wide average ice coverage for a Great Lake.";
  }
  Surface_Water_Temperature_degF {
    Float64 _FillValue -9999.0;
    Float64 actual_range 32.358714285714285, 78.24606451612904;
    String destination_name "Surface_Water_Temperature_degF";
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Great Lakes Water Surface Temperatures";
    Float64 missing_value NaN;
    String standard_name "sea_surface_temperature";
    String units "degree_Fahrenheit";
    String var_desc "The monthly lake-wide water surface temperature for a Great Lake.";
  }
  Water_Level_ft {
    Float32 _FillValue -3047.6953;
    Float32 actual_range 173.13554, 175.09541;
    String destination_name "Lake_Level_ft";
    String ioos_category "Sea Level";
    String level_desc "Surface";
    String long_name "Great Lakes Water Levels";
    Float32 missing_value NaN;
    String standard_name "surface_elevation";
    String units "ft";
    String var_desc "The monthly lake-wide average water levels for a Great Lake.";
  }
  Surface_Water_Temperature_degC {
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.2, 25.69;
    String destination_name "Surface_Water_Temperature_degC";
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Great Lakes Water Surface Temperatures";
    Float64 missing_value NaN;
    String standard_name "sea_surface_temperature";
    String units "degree_Celsius";
    String var_desc "The monthly lake-wide water surface temperature for a Great Lake.";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "platform,latitude,longitude";
    String Conventions "CF-1.6, ACDD-1.3, IOOS-1.2, COARDS";
    String creator_country "United States";
    String creator_email "glisa-info@umich.edu";
    String creator_institution "University of Michigan, Michigan State University";
    String creator_name "GLISA, the NOAA Great Lakes Climate Adaptation Partnership (CAP)";
    String creator_sector "academic";
    String creator_type "institution";
    String creator_url "https://glisa.umich.edu";
    Float64 Easternmost_Easting -81.339943;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 42.066887;
    Float64 geospatial_lat_min 42.066887;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -81.339943;
    Float64 geospatial_lon_min -81.339943;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-22T09:23:25Z (local files)
2024-12-22T09:23:25Z https://seagull-erddap.glos.org/erddap/tabledap/glisa_general_monthly_erie.html";
    String infoUrl "https://glisa.umich.edu";
    String institution "NOAA (NOAA)";
    String ioos_ingest "false";
    String keywords "administration, aggregated, atmospheric, CDDCDV, centers, climate, cooling, cooling_degree_days, data, date, days, degree, divisions, drought, environmental, great, great lakes, HDDCDV, heating, heating_degree_days, index, information, lakes, meteorology, modified, national, ncei, nesdis, noaa, oceanic, palmer, palmer_drought_severity_index, PDSI, PMDI, PRCP_inches, PRCP_mm, region, severity, temperature, time, TMAX_degC, TMAX_degF, TMIN_degC, TMIN_degF, TMP_degC, TMP_degF, US, values, year";
    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, GLOS, 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.";
    String naming_authority "org.glos";
    Float64 Northernmost_Northing 42.066887;
    String publisher_country "United States";
    String publisher_email "info@glos.org";
    String publisher_institution "GLOS";
    String publisher_sector "nonprofit";
    String publisher_url "https://glos.org";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 42.066887;
    String standard_name "CF Standard Name Table v77";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Erie Monthly Statistics from NOAA Great Lakes Environmental Research Laboratory's (GLERL) Great Lakes Dashboard Water Levels, Ice Coverage, and Water Temperatures.";
    String time_coverage_end "2024-10-01T00:00:00Z";
    String time_coverage_start "1918-01-01T00:00:00Z";
    String title "Erie - Monthly - GLISA - General";
    Float64 Westernmost_Easting -81.339943;
  }
}

 

---

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 2.24
Disclaimers | Privacy Policy | Contact