ERDDAP > tabledap > Data Access Form

Dataset Title:	Chena Lakes, AK (1260)
Institution:	SNOTEL   (Dataset ID: gov_usda_nrcs_sntl_1260)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
time (UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2020-09-28T22:00:00Z	2024-11-21T08:00:00Z
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		64.75793	64.75793
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-147.21823	-147.21823
z (Altitude, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.0
relative_humidity (%)	!= =~ <= >= = < >		!= =~ <= >= = < >		-69.0	377.0
relative_humidity_qc_agg	!= =~ <= >= = < >		!= =~ <= >= = < >		1	2
relative_humidity_qc_tests	!= =~ <= >= = < >		!= =~ <= >= = < >
lwe_thickness_of_precipitation_amount (mm)	!= =~ <= >= = < >		!= =~ <= >= = < >		-68.6	635.0
lwe_thickness_of_precipitation_amount_qc_agg	!= =~ <= >= = < >		!= =~ <= >= = < >		1	3
lwe_thickness_of_precipitation_amount_qc_tests	!= =~ <= >= = < >		!= =~ <= >= = < >
solar_irradiance_cm_time__mean_over_pt1h (W.m-2)	!= =~ <= >= = < >		!= =~ <= >= = < >		-565.7	839.0
solar_irradiance_cm_time__mean_over_pt1h_qc_agg	!= =~ <= >= = < >		!= =~ <= >= = < >		1	2
solar_irradiance_cm_time__mean_over_pt1h_qc_tests	!= =~ <= >= = < >		!= =~ <= >= = < >
surface_snow_thickness (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.03	2.31
surface_snow_thickness_qc_agg	!= =~ <= >= = < >		!= =~ <= >= = < >		1	3
surface_snow_thickness_qc_tests	!= =~ <= >= = < >		!= =~ <= >= = < >
snow_water_equivalent (mm)	!= =~ <= >= = < >		!= =~ <= >= = < >		-15.0	505.5
snow_water_equivalent_qc_agg	!= =~ <= >= = < >		!= =~ <= >= = < >		1	3
snow_water_equivalent_qc_tests	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temperature (degree_Celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >		-46.7	30.6
air_temperature_qc_agg	!= =~ <= >= = < >		!= =~ <= >= = < >		1	2
air_temperature_qc_tests	!= =~ <= >= = < >		!= =~ <= >= = < >
station (Chena Lakes, AK (1260))	!= =~ <= >= = < >		!= =~ <= >= = < >

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time latitude longitude z relative_humidity relative_humidity_qc_agg relative_humidity_qc_tests lwe_thickness_of_precipitation_amount lwe_thickness_of_precipitation_amount_qc_agg lwe_thickness_of_precipitation_amount_qc_tests solar_irradiance_cm_time__mean_over_pt1h solar_irradiance_cm_time__mean_over_pt1h_qc_agg solar_irradiance_cm_time__mean_over_pt1h_qc_tests surface_snow_thickness surface_snow_thickness_qc_agg surface_snow_thickness_qc_tests snow_water_equivalent snow_water_equivalent_qc_agg snow_water_equivalent_qc_tests air_temperature air_temperature_qc_agg air_temperature_qc_tests station time latitude longitude z relative_humidity relative_humidity_qc_agg relative_humidity_qc_tests lwe_thickness_of_precipitation_amount lwe_thickness_of_precipitation_amount_qc_agg lwe_thickness_of_precipitation_amount_qc_tests solar_irradiance_cm_time__mean_over_pt1h solar_irradiance_cm_time__mean_over_pt1h_qc_agg solar_irradiance_cm_time__mean_over_pt1h_qc_tests surface_snow_thickness surface_snow_thickness_qc_agg surface_snow_thickness_qc_tests snow_water_equivalent snow_water_equivalent_qc_agg snow_water_equivalent_qc_tests air_temperature air_temperature_qc_agg air_temperature_qc_tests station time latitude longitude z relative_humidity relative_humidity_qc_agg relative_humidity_qc_tests lwe_thickness_of_precipitation_amount lwe_thickness_of_precipitation_amount_qc_agg lwe_thickness_of_precipitation_amount_qc_tests solar_irradiance_cm_time__mean_over_pt1h solar_irradiance_cm_time__mean_over_pt1h_qc_agg solar_irradiance_cm_time__mean_over_pt1h_qc_tests surface_snow_thickness surface_snow_thickness_qc_agg surface_snow_thickness_qc_tests snow_water_equivalent snow_water_equivalent_qc_agg snow_water_equivalent_qc_tests air_temperature air_temperature_qc_agg air_temperature_qc_tests station time latitude longitude z relative_humidity relative_humidity_qc_agg relative_humidity_qc_tests lwe_thickness_of_precipitation_amount lwe_thickness_of_precipitation_amount_qc_agg lwe_thickness_of_precipitation_amount_qc_tests solar_irradiance_cm_time__mean_over_pt1h solar_irradiance_cm_time__mean_over_pt1h_qc_agg solar_irradiance_cm_time__mean_over_pt1h_qc_tests surface_snow_thickness surface_snow_thickness_qc_agg surface_snow_thickness_qc_tests snow_water_equivalent snow_water_equivalent_qc_agg snow_water_equivalent_qc_tests air_temperature air_temperature_qc_agg air_temperature_qc_tests station time latitude longitude z relative_humidity relative_humidity_qc_agg relative_humidity_qc_tests lwe_thickness_of_precipitation_amount lwe_thickness_of_precipitation_amount_qc_agg lwe_thickness_of_precipitation_amount_qc_tests solar_irradiance_cm_time__mean_over_pt1h solar_irradiance_cm_time__mean_over_pt1h_qc_agg solar_irradiance_cm_time__mean_over_pt1h_qc_tests surface_snow_thickness surface_snow_thickness_qc_agg surface_snow_thickness_qc_tests snow_water_equivalent snow_water_equivalent_qc_agg snow_water_equivalent_qc_tests air_temperature air_temperature_qc_agg air_temperature_qc_tests station ")

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). .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. .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 {
  time {
    UInt32 _ChunkSizes 512;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6013304e+9, 1.732176e+9;
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 64.75793, 64.75793;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -147.21823, -147.21823;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  z {
    UInt32 _ChunkSizes 507;
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Altitude";
    String positive "up";
    String standard_name "altitude";
    String units "m";
  }
  relative_humidity {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue -9999.0;
    Float64 actual_range -69.0, 377.0;
    String ancillary_variables "relative_humidity_qc_agg relative_humidity_qc_tests";
    String id "1028084";
    String ioos_category "Other";
    String long_name "Relative Humidity";
    Float64 missing_value -9999.0;
    String platform "station";
    String short_name "relative_humidity";
    String standard_name "relative_humidity";
    String standard_name_url "http://mmisw.org/ont/cf/parameter/relative_humidity";
    String units "%";
  }
  relative_humidity_qc_agg {
    UInt32 _ChunkSizes 4096;
    Int32 _FillValue -127;
    Int32 actual_range 1, 2;
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Relative Humidity QARTOD Aggregate Quality Flag";
    Int32 missing_value -127;
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "relative_humidity_qc_agg";
    String standard_name "aggregate_quality_flag";
  }
  relative_humidity_qc_tests {
    UInt32 _ChunkSizes 512;
    Int32 _FillValue 0;
    String comment "11-character string with results of individual QARTOD tests. 1: Gap Test, 2: Syntax Test, 3: Location Test, 4: Gross Range Test, 5: Climatology Test, 6: Spike Test, 7: Rate of Change Test, 8: Flat-line Test, 9: Multi-variate Test, 10: Attenuated Signal Test, 11: Neighbor Test";
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Relative Humidity QARTOD Individual Tests";
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "relative_humidity_qc_tests";
    String standard_name "relative_humidity quality_flag";
  }
  lwe_thickness_of_precipitation_amount {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue -9999.0;
    Float64 actual_range -68.6, 635.0;
    String ancillary_variables "lwe_thickness_of_precipitation_amount_qc_agg lwe_thickness_of_precipitation_amount_qc_tests";
    String id "1028083";
    String ioos_category "Other";
    String long_name "Precipitation (accumulation)";
    Float64 missing_value -9999.0;
    String platform "station";
    String short_name "lwe_thickness_of_precipitation_amount";
    String standard_name "lwe_thickness_of_precipitation_amount";
    String standard_name_url "http://mmisw.org/ont/cf/parameter/lwe_thickness_of_precipitation_amount";
    String units "mm";
  }
  lwe_thickness_of_precipitation_amount_qc_agg {
    UInt32 _ChunkSizes 4096;
    Int32 _FillValue -127;
    Int32 actual_range 1, 3;
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Precipitation (accumulation) QARTOD Aggregate Quality Flag";
    Int32 missing_value -127;
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "lwe_thickness_of_precipitation_amount_qc_agg";
    String standard_name "aggregate_quality_flag";
  }
  lwe_thickness_of_precipitation_amount_qc_tests {
    UInt32 _ChunkSizes 512;
    Int32 _FillValue 0;
    String comment "11-character string with results of individual QARTOD tests. 1: Gap Test, 2: Syntax Test, 3: Location Test, 4: Gross Range Test, 5: Climatology Test, 6: Spike Test, 7: Rate of Change Test, 8: Flat-line Test, 9: Multi-variate Test, 10: Attenuated Signal Test, 11: Neighbor Test";
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Precipitation (accumulation) QARTOD Individual Tests";
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "lwe_thickness_of_precipitation_amount_qc_tests";
    String standard_name "lwe_thickness_of_precipitation_amount quality_flag";
  }
  solar_irradiance_cm_time__mean_over_pt1h {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue -9999.0;
    Float64 actual_range -565.7, 839.0;
    String ancillary_variables "solar_irradiance_cm_time__mean_over_pt1h_qc_agg solar_irradiance_cm_time__mean_over_pt1h_qc_tests";
    String cell_methods "time: mean (interval: 1 hour)";
    String id "1028082";
    String ioos_category "Other";
    String long_name "Solar Radiation";
    Float64 missing_value -9999.0;
    String platform "station";
    String short_name "solar_irradiance";
    String standard_name "solar_irradiance";
    String standard_name_url "http://mmisw.org/ont/cf/parameter/solar_irradiance";
    String units "W.m-2";
  }
  solar_irradiance_cm_time__mean_over_pt1h_qc_agg {
    UInt32 _ChunkSizes 4096;
    Int32 _FillValue -127;
    Int32 actual_range 1, 2;
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Solar Radiation QARTOD Aggregate Quality Flag";
    Int32 missing_value -127;
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "solar_irradiance_qc_agg";
    String standard_name "aggregate_quality_flag";
  }
  solar_irradiance_cm_time__mean_over_pt1h_qc_tests {
    UInt32 _ChunkSizes 512;
    Int32 _FillValue 0;
    String comment "11-character string with results of individual QARTOD tests. 1: Gap Test, 2: Syntax Test, 3: Location Test, 4: Gross Range Test, 5: Climatology Test, 6: Spike Test, 7: Rate of Change Test, 8: Flat-line Test, 9: Multi-variate Test, 10: Attenuated Signal Test, 11: Neighbor Test";
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Solar Radiation QARTOD Individual Tests";
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "solar_irradiance_qc_tests";
    String standard_name "solar_irradiance quality_flag";
  }
  surface_snow_thickness {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue -9999.0;
    Float64 actual_range -0.03, 2.31;
    String ancillary_variables "surface_snow_thickness_qc_agg surface_snow_thickness_qc_tests";
    String id "1028081";
    String ioos_category "Other";
    String long_name "Snow Depth";
    Float64 missing_value -9999.0;
    String platform "station";
    String short_name "surface_snow_thickness";
    String standard_name "surface_snow_thickness";
    String standard_name_url "http://mmisw.org/ont/cf/parameter/surface_snow_thickness";
    String units "m";
  }
  surface_snow_thickness_qc_agg {
    UInt32 _ChunkSizes 4096;
    Int32 _FillValue -127;
    Int32 actual_range 1, 3;
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Snow Depth QARTOD Aggregate Quality Flag";
    Int32 missing_value -127;
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "surface_snow_thickness_qc_agg";
    String standard_name "aggregate_quality_flag";
  }
  surface_snow_thickness_qc_tests {
    UInt32 _ChunkSizes 512;
    Int32 _FillValue 0;
    String comment "11-character string with results of individual QARTOD tests. 1: Gap Test, 2: Syntax Test, 3: Location Test, 4: Gross Range Test, 5: Climatology Test, 6: Spike Test, 7: Rate of Change Test, 8: Flat-line Test, 9: Multi-variate Test, 10: Attenuated Signal Test, 11: Neighbor Test";
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Snow Depth QARTOD Individual Tests";
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "surface_snow_thickness_qc_tests";
    String standard_name "surface_snow_thickness quality_flag";
  }
  snow_water_equivalent {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue -9999.0;
    Float64 actual_range -15.0, 505.5;
    String ancillary_variables "snow_water_equivalent_qc_agg snow_water_equivalent_qc_tests";
    String id "1028080";
    String ioos_category "Other";
    String long_name "Snow Water Equivalent";
    Float64 missing_value -9999.0;
    String platform "station";
    String short_name "snow_water_equivalent";
    String standard_name "snow_water_equivalent";
    String standard_name_url "http://mmisw.org/ont/unknown/parameter/snow_water_equivalent";
    String units "mm";
  }
  snow_water_equivalent_qc_agg {
    UInt32 _ChunkSizes 4096;
    Int32 _FillValue -127;
    Int32 actual_range 1, 3;
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Snow Water Equivalent QARTOD Aggregate Quality Flag";
    Int32 missing_value -127;
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "snow_water_equivalent_qc_agg";
    String standard_name "aggregate_quality_flag";
  }
  snow_water_equivalent_qc_tests {
    UInt32 _ChunkSizes 512;
    Int32 _FillValue 0;
    String comment "11-character string with results of individual QARTOD tests. 1: Gap Test, 2: Syntax Test, 3: Location Test, 4: Gross Range Test, 5: Climatology Test, 6: Spike Test, 7: Rate of Change Test, 8: Flat-line Test, 9: Multi-variate Test, 10: Attenuated Signal Test, 11: Neighbor Test";
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Snow Water Equivalent QARTOD Individual Tests";
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "snow_water_equivalent_qc_tests";
    String standard_name "snow_water_equivalent quality_flag";
  }
  air_temperature {
    UInt32 _ChunkSizes 512;
    Float64 _FillValue -9999.0;
    Float64 actual_range -46.7, 30.6;
    String ancillary_variables "air_temperature_qc_agg air_temperature_qc_tests";
    String id "1028085";
    String ioos_category "Other";
    String long_name "Air Temperature";
    Float64 missing_value -9999.0;
    String platform "station";
    String short_name "air_temperature";
    String standard_name "air_temperature";
    String standard_name_url "http://mmisw.org/ont/cf/parameter/air_temperature";
    String units "degree_Celsius";
  }
  air_temperature_qc_agg {
    UInt32 _ChunkSizes 4096;
    Int32 _FillValue -127;
    Int32 actual_range 1, 2;
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Air Temperature QARTOD Aggregate Quality Flag";
    Int32 missing_value -127;
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "air_temperature_qc_agg";
    String standard_name "aggregate_quality_flag";
  }
  air_temperature_qc_tests {
    UInt32 _ChunkSizes 512;
    Int32 _FillValue 0;
    String comment "11-character string with results of individual QARTOD tests. 1: Gap Test, 2: Syntax Test, 3: Location Test, 4: Gross Range Test, 5: Climatology Test, 6: Spike Test, 7: Rate of Change Test, 8: Flat-line Test, 9: Multi-variate Test, 10: Attenuated Signal Test, 11: Neighbor Test";
    String flag_meanings "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Int32 flag_values 1, 2, 3, 4, 9;
    String ioos_category "Other";
    String long_name "Air Temperature QARTOD Individual Tests";
    String references "PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String short_name "air_temperature_qc_tests";
    String standard_name "air_temperature quality_flag";
  }
  station {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String ioos_code "urn:ioos:station:com.axiomdatascience:104637";
    String long_name "Chena Lakes, AK (1260)";
    String short_name "gov_usda_nrcs_sntl_1260";
    String type "fixed";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station,longitude,latitude";
    String contributor_email "askusda@usda.gov,feedback@axiomdatascience.com";
    String contributor_name "US Department of Agriculture (USDA),Axiom Data Science";
    String contributor_role "contributor,processor";
    String contributor_role_vocabulary "NERC";
    String contributor_url "https://www.usda.gov/,https://www.axiomdatascience.com";
    String Conventions "IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2";
    String creator_country "USA";
    String creator_email "tony.tolsdorf@por.usda.gov";
    String creator_institution "SNOTEL";
    String creator_name "SNOTEL";
    String creator_sector "gov_federal";
    String creator_type "institution";
    String creator_url "http://www.wcc.nrcs.usda.gov/snow/";
    String defaultDataQuery "snow_water_equivalent_qc_agg,relative_humidity_qc_agg,lwe_thickness_of_precipitation_amount_qc_agg,snow_water_equivalent,solar_irradiance_cm_time__mean_over_pt1h_qc_agg,air_temperature_qc_agg,air_temperature,lwe_thickness_of_precipitation_amount,solar_irradiance_cm_time__mean_over_pt1h,z,time,relative_humidity,surface_snow_thickness_qc_agg,surface_snow_thickness&time>=max(time)-3days";
    Float64 Easternmost_Easting -147.21823;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 64.75793;
    Float64 geospatial_lat_min 64.75793;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -147.21823;
    Float64 geospatial_lon_min -147.21823;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "up";
    String geospatial_vertical_units "m";
    String history 
"Downloaded from US Department of Agriculture (USDA) at https://wcc.sc.egov.usda.gov/nwcc/site?sitenum=1260
2024-11-21T12:47:37Z https://wcc.sc.egov.usda.gov/nwcc/site?sitenum=1260
2024-11-21T12:47:37Z http://erddap.aoos.org/erddap/tabledap/gov_usda_nrcs_sntl_1260.html";
    Int32 id 104637;
    String infoUrl "https://sensors.ioos.us/#metadata/104637/station";
    String institution "SNOTEL";
    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.";
    String naming_authority "com.axiomdatascience";
    Float64 Northernmost_Northing 64.75793;
    String platform "fixed";
    String platform_name "Chena Lakes, AK (1260)";
    String platform_vocabulary "http://mmisw.org/ont/ioos/platform";
    String processing_level "Level 2";
    String publisher_country "USA";
    String publisher_email "askusda@usda.gov";
    String publisher_institution "US Department of Agriculture (USDA)";
    String publisher_name "US Department of Agriculture (USDA)";
    String publisher_sector "gov_federal";
    String publisher_type "institution";
    String publisher_url "https://www.usda.gov/";
    String references "https://wcc.sc.egov.usda.gov/nwcc/site?sitenum=1260,https://wcc.sc.egov.usda.gov/nwcc/site?sitenum=1260,PRISM Probabilistic PRISM Probabilistic-Spatial QC (PSQC) System Spatial QC (PSQC) System";
    String sourceUrl "https://wcc.sc.egov.usda.gov/nwcc/site?sitenum=1260";
    Float64 Southernmost_Northing 64.75793;
    String standard_name_vocabulary "CF Standard Name Table v72";
    String station_id "104637";
    String summary "Timeseries data from 'Chena Lakes, AK (1260)' (gov_usda_nrcs_sntl_1260)";
    String time_coverage_end "2024-11-21T08:00:00Z";
    String time_coverage_start "2020-09-28T22:00:00Z";
    String title "Chena Lakes, AK (1260)";
    Float64 Westernmost_Easting -147.21823;
  }
}

 

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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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ERDDAP, Version 2.25
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