ERDDAP > tabledap > Data Access Form

Dataset Title:	Ohio Northeast Hills - Monthly - GLISA - NCEI
Institution:	NOAA (NOAA)   (Dataset ID: glisa_oh_d07_monthly_division)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
platform (Station ID)	!= =~ <= >= = < >		!= =~ <= >= = < >		""	""
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		41.0	41.0
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-81.0	-81.0
time (Date, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		1895-01-01T00:00:00Z	2023-12-01T00:00:00Z
Year	!= =~ <= >= = < >		!= =~ <= >= = < >		1895	2023
Month	!= =~ <= >= = < >		!= =~ <= >= = < >		1	12
Season	!= =~ <= >= = < >		!= =~ <= >= = < >		"DJF"	"SON"
Total_Precipitation_in (inches)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.12	11.25
Total_Precipitation_mm (kg m-2)	!= =~ <= >= = < >		!= =~ <= >= = < >		3.05	285.75
Palmer_Drought_Severity_Index (index)	!= =~ <= >= = < >		!= =~ <= >= = < >		-6.9	7.32
Modified_Palmer_Drought_Severity_Index (index)	!= =~ <= >= = < >		!= =~ <= >= = < >		-6.9	7.32
Maximum_Temperature_degF (degree_Farhenheit)	!= =~ <= >= = < >		!= =~ <= >= = < >		19.9	88.8
Maximum_Temperature_degC (degree_Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		-6.72	31.56
Minimum_Temperature_degF (degree_Farhenheit)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.4	66.1
Minimum_Temperature_degC (degree_Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		-17.0	18.94
Average_Temperature_degF (degree_Farhenheit)	!= =~ <= >= = < >		!= =~ <= >= = < >		10.6	76.7
Average_Temperature_degC (degree_Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		-11.89	24.83
Heating_Degree_Days (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	1686.0
Cooling_Degree_Days (days)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	363.0
Lat_poly (Latitude, degree_north)	!= =~ <= >= = < >		!= =~ <= >= = < >
Lon_poly (Longitude, degree_east)	!= =~ <= >= = < >		!= =~ <= >= = < >

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" platform latitude longitude time Year Month Season Total_Precipitation_in Total_Precipitation_mm Palmer_Drought_Severity_Index Modified_Palmer_Drought_Severity_Index Maximum_Temperature_degF Maximum_Temperature_degC Minimum_Temperature_degF Minimum_Temperature_degC Average_Temperature_degF Average_Temperature_degC Heating_Degree_Days Cooling_Degree_Days Lat_poly Lon_poly platform latitude longitude time Year Month Season Total_Precipitation_in Total_Precipitation_mm Palmer_Drought_Severity_Index Modified_Palmer_Drought_Severity_Index Maximum_Temperature_degF Maximum_Temperature_degC Minimum_Temperature_degF Minimum_Temperature_degC Average_Temperature_degF Average_Temperature_degC Heating_Degree_Days Cooling_Degree_Days Lat_poly Lon_poly platform latitude longitude time Year Month Season Total_Precipitation_in Total_Precipitation_mm Palmer_Drought_Severity_Index Modified_Palmer_Drought_Severity_Index Maximum_Temperature_degF Maximum_Temperature_degC Minimum_Temperature_degF Minimum_Temperature_degC Average_Temperature_degF Average_Temperature_degC Heating_Degree_Days Cooling_Degree_Days Lat_poly Lon_poly platform latitude longitude time Year Month Season Total_Precipitation_in Total_Precipitation_mm Palmer_Drought_Severity_Index Modified_Palmer_Drought_Severity_Index Maximum_Temperature_degF Maximum_Temperature_degC Minimum_Temperature_degF Minimum_Temperature_degC Average_Temperature_degF Average_Temperature_degC Heating_Degree_Days Cooling_Degree_Days Lat_poly Lon_poly platform latitude longitude time Year Month Season Total_Precipitation_in Total_Precipitation_mm Palmer_Drought_Severity_Index Modified_Palmer_Drought_Severity_Index Maximum_Temperature_degF Maximum_Temperature_degC Minimum_Temperature_degF Minimum_Temperature_degC Average_Temperature_degF Average_Temperature_degC Heating_Degree_Days Cooling_Degree_Days Lat_poly Lon_poly ")

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 {
  platform {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station ID";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 41.0, 41.0;
    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 -81.0, -81.0;
    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 -2.3667552e+9, 1.7013888e+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 1895, 2023;
    String ioos_category "Time";
    String long_name "Year";
  }
  Month {
    Int32 _FillValue 99;
    Int32 actual_range 1, 12;
    String ioos_category "Time";
    String long_name "Month";
  }
  Season {
    String ioos_category "Time";
    String long_name "Season";
  }
  Total_Precipitation_in {
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.12, 11.25;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String level_desc "Surface";
    String long_name "Annual Total Precipitation";
    Float64 missing_Value NaN;
    String standard_name "precipitation_amount";
    String units "inches";
    String var_desc "Total Precipitation";
  }
  Total_Precipitation_mm {
    Float64 _FillValue -9999.0;
    Float64 actual_range 3.05, 285.75;
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String level_desc "Surface";
    String long_name "Annual Total Precipitation";
    Float64 missing_Value NaN;
    String standard_name "precipitation_amount";
    String units "kg m-2";
    String var_desc "Total Precipitation";
  }
  Palmer_Drought_Severity_Index {
    Float64 _FillValue -9999.0;
    Float64 actual_range -6.9, 7.32;
    String ioos_category "Unknown";
    String level_desc "Surface";
    String long_name "Palmer Drought Severity Index";
    Float64 missing_Value NaN;
    String standard_name "palmer_drought_severity_index";
    String units "index";
    String var_desc "This is the Annual value (index) generated Annual that indicates the severity of a wet or dry spell. PDSI values 0 to -.5 = normal; -0.5 to -1.0 = incipient drought; -1.0 to -2.0 = mild drought; -2.0 to -3.0 = moderate drought; -3.0 to -4.0 = severe drought; and greater than - 4.0 = extreme drought.";
  }
  Modified_Palmer_Drought_Severity_Index {
    Float64 _FillValue -9999.0;
    Float64 actual_range -6.9, 7.32;
    String ioos_category "Unknown";
    String level_desc "Surface";
    String long_name "Modified Palmer Drought Severity Index";
    Float64 missing_Value NaN;
    String standard_name "palmer_drought_severity_index";
    String units "index";
    String var_desc "The modification of the Palmer Drought Severity Index (PMDI) incorporates a weighted average of the wet and dry index terms, using the probability as the weighting factor.This is the Annual value (index) generated Annual that indicates the severity of a wet or dry spell. PDSI values 0 to -.5 = normal; -0.5 to -1.0 = incipient drought; -1.0 to -2.0 = mild drought; -2.0 to -3.0 = moderate drought; -3.0 to -4.0 = severe drought; and greater than - 4.0 = extreme drought.";
  }
  Maximum_Temperature_degF {
    Float64 _FillValue -9999.0;
    Float64 actual_range 19.9, 88.8;
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Annual Mean of Maximum Air Temperature";
    Float64 missing_Value NaN;
    String standard_name "max_air_temperature";
    String units "degree_Farhenheit";
    String var_desc "Maximum Air Temperature";
  }
  Maximum_Temperature_degC {
    Float64 _FillValue -9999.0;
    Float64 actual_range -6.72, 31.56;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Annual Mean of Maximum Air Temperature";
    Float64 missing_Value NaN;
    String standard_name "max_air_temperature";
    String units "degree_Celsius";
    String var_desc "Maximum Air Temperature";
  }
  Minimum_Temperature_degF {
    Float64 _FillValue -9999.0;
    Float64 actual_range 1.4, 66.1;
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Annual Mean of Minimum Air Temperature";
    Float64 missing_Value NaN;
    String standard_name "min_air_temperature";
    String units "degree_Farhenheit";
    String var_desc "Minimum Air Temperature";
  }
  Minimum_Temperature_degC {
    Float64 _FillValue -9999.0;
    Float64 actual_range -17.0, 18.94;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Annual Mean of Minimum Air Temperature";
    Float64 missing_Value NaN;
    String standard_name "min_air_temperature";
    String units "degree_Celsius";
    String var_desc "Minimum Air Temperature";
  }
  Average_Temperature_degF {
    Float64 _FillValue -9999.0;
    Float64 actual_range 10.6, 76.7;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Annual Mean of Air Temperature";
    Float64 missing_Value NaN;
    String standard_name "air_temperature";
    String units "degree_Farhenheit";
    String var_desc "Air Temperature";
  }
  Average_Temperature_degC {
    Float64 _FillValue -9999.0;
    Float64 actual_range -11.89, 24.83;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Annual Mean of Air Temperature";
    Float64 missing_Value NaN;
    String standard_name "air_temperature";
    String units "degree_Celsius";
    String var_desc "Air Temperature";
  }
  Heating_Degree_Days {
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.0, 1686.0;
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Heating Degree Days";
    Float64 missing_Value NaN;
    String standard_name "heating_degree_days";
    String units "days";
    String var_desc "Heating Degree Days (HDD) accumulate on days colder than 65 degrees Farhenheit when heat is required.";
  }
  Cooling_Degree_Days {
    Float64 _FillValue -9999.0;
    Float64 actual_range 0.0, 363.0;
    String ioos_category "Temperature";
    String level_desc "Surface";
    String long_name "Cooling Degree Days";
    Float64 missing_Value NaN;
    String standard_name "cooling_degree_days";
    String units "days";
    String var_desc "Cooling Degree Days (CDD) accumulate on days warmer than 65 degrees Farhenheit, when cooling is required.";
  }
  Lat_poly {
    Float64 _FillValue -9999.0;
    String ioos_category "Location";
    String long_name "Latitude";
    Float64 missing_Value NaN;
    String name "lat_poly";
    String standard_name "latitude";
    String units "degree_north";
    String var_desc "Coordinate for building a GeoJSON polygon on a map";
  }
  Lon_poly {
    Float64 _FillValue -9999.0;
    String ioos_category "Location";
    String long_name "Longitude";
    Float64 missing_Value NaN;
    String name "lon_poly";
    String standard_name "longitude";
    String units "degree_east";
    String var_desc "Coordinate for building a GeoJSON polygon on a map";
  }
 }
  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 -81.0;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 41.0;
    Float64 geospatial_lat_min 41.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -81.0;
    Float64 geospatial_lon_min -81.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-21T14:29:43Z (local files)
2024-11-21T14:29:43Z https://seagull-erddap.glos.org/erddap/tabledap/glisa_oh_d07_monthly_division.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 41.0;
    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 41.0;
    String standard_name "CF Standard Name Table v77";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The aggregated monthly values of the National Centers for Environmental Information (NCEI) US Climate Divisions in the Great lakes region - Ohio Northeast Hills";
    String time_coverage_end "2023-12-01T00:00:00Z";
    String time_coverage_start "1895-01-01T00:00:00Z";
    String title "Ohio Northeast Hills - Monthly - GLISA - NCEI";
    Float64 Westernmost_Easting -81.0;
  }
}

 

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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.
• (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.

 

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