ERDDAP > tabledap > Make A Graph

Dataset Title:	[Lake Erie Winter Surveys 2023-2024] - Winter survey data from Lake Erie from Mar 2023 to May 2024 (Lake Erie Center for Fresh Waters and Human Health)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_940112_v1)
Range:	longitude = -88.933 to -79.3847°E, latitude = 41.5153 to 48.417°N, depth = 0.25 to 1.0m, time = 2023-03-29T12:05:00Z to 2024-05-20T17:10:00Z
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  time latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind3 Barometer Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates Y Axis:  time latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind3 Barometer Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates Color:  time latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind3 Barometer Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates   Constraints Optional Constraint #1 Optional Constraint #2 Station Deployment Alternate_Deployment Date time_unitless time Lake latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind2 Wind3 Barometer Sea_state Weather Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates     != =~ <= >= = < >     != =~ <= >= = < > Station Deployment Alternate_Deployment Date time_unitless time Lake latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind2 Wind3 Barometer Sea_state Weather Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates     != =~ <= >= = < >     != =~ <= >= = < > Station Deployment Alternate_Deployment Date time_unitless time Lake latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind2 Wind3 Barometer Sea_state Weather Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates     != =~ <= >= = < >     != =~ <= >= = < > Station Deployment Alternate_Deployment Date time_unitless time Lake latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind2 Wind3 Barometer Sea_state Weather Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates     != =~ <= >= = < >     != =~ <= >= = < > Station Deployment Alternate_Deployment Date time_unitless time Lake latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind2 Wind3 Barometer Sea_state Weather Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Station Deployment Alternate_Deployment Date time_unitless time Lake latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind2 Wind3 Barometer Sea_state Weather Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates Station Deployment Alternate_Deployment Date time_unitless time Lake latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind2 Wind3 Barometer Sea_state Weather Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates Station Deployment Alternate_Deployment Date time_unitless time Lake latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind2 Wind3 Barometer Sea_state Weather Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates Station Deployment Alternate_Deployment Date time_unitless time Lake latitude longitude Max_Depth depth Air_Temp Water_Temp Ice_cover Snow_cover Ice_type Ice_thickness DO DO2 pH Sp_Cond Secchi Cloud_cover Wind Wind2 Wind3 Barometer Sea_state Weather Avg_Chl_a NH3 CL SO4 NO2 NO3 SIO2 SRP Total_Phosphorus Total_Nitrogen Avg_Green_Algae Avg_Bluegreen Avg_Diatoms Avg_Cryptophyta Avg_Yellow_Substances Avg_Total_Conc Avg_Transmission Aulacoseira_islandica Stephanodiscus_spp Fragilaria_spp Skeletonema_spp centric_small Nitzschia Asterionella Cyanobacteria cryptomonads Dinoflagellates chlorophytes Microflagellates ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Draw land mask:  under over outline off Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Click on the map to specify a new center point. Zoom:  Time range:  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 second(s) minute(s) hour(s) day(s) month(s) year(s)

 

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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

• Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
• Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Station {
    String long_name "Station";
    String units "unitless";
  }
  Deployment {
    String long_name "Deployment";
    String units "unitless";
  }
  Alternate_Deployment {
    String long_name "Alternate_deployment";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  time_unitless {
    String long_name "Time";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6800915e+9, 1.716225e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Lake {
    String long_name "Lake";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 41.5153, 48.417;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -88.933, -79.3847;
    String axis "X";
    String ioos_category "Location";
    String long_name "Long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Max_Depth {
    Float32 actual_range 1.0, 181.0;
    String long_name "Max_depth";
    String units "meters (m)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.25, 1.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Sample_depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Air_Temp {
    Float32 actual_range -2.8, 26.1;
    String long_name "Air_temp";
    String units "degrees C";
  }
  Water_Temp {
    Float32 actual_range 0.1, 20.0;
    String long_name "Water_temp";
    String units "degrees C";
  }
  Ice_cover {
    Int32 actual_range 0, 100;
    String long_name "Ice_cover";
    String units "percent (%)";
  }
  Snow_cover {
    Int32 actual_range 0, 60;
    String long_name "Snow_cover";
    String units "percent (%)";
  }
  Ice_type {
    String long_name "Ice_type";
    String units "unitless";
  }
  Ice_thickness {
    Float32 actual_range 0.0, 15.2;
    String long_name "Ice_thickness";
    String units "centimeter (cm)";
  }
  DO {
    Float32 actual_range 96.9, 109.0;
    String long_name "Do";
    String units "percent (%)";
  }
  DO2 {
    Float32 actual_range 12.21, 23.3;
    String long_name "Do2";
    String units "mg/L";
  }
  pH {
    Float32 actual_range 7.99, 9.28;
    String long_name "Ph";
    String units "unitless (pH scale)";
  }
  Sp_Cond {
    Int32 actual_range 105, 375;
    String long_name "Sp_cond";
    String units "microSiemen per cm (µS cm-1)";
  }
  Secchi {
    Float32 actual_range 0.9, 3.95;
    String long_name "Secchi";
    String units "meters (m)";
  }
  Cloud_cover {
    Float32 actual_range 0.0, 100.0;
    String long_name "Cloud_cover";
    String units "percent (%)";
  }
  Wind {
    Float32 actual_range 1.5, 21.0;
    String long_name "Wind";
    String units "Knots (Kt)";
  }
  Wind2 {
    String long_name "Wind2";
    String units "unitless";
  }
  Wind3 {
    Int32 actual_range 55, 341;
    String long_name "Wind3";
    String units "degree";
  }
  Barometer {
    Float32 actual_range 988.0, 1031.0;
    String long_name "Barometer";
    String units "millibars (Mb)";
  }
  Sea_state {
    String long_name "Sea_state";
    String units "meters (m)";
  }
  Weather {
    String long_name "Weather";
    String units "unitless";
  }
  Avg_Chl_a {
    Float32 actual_range 0.1, 20.7;
    String long_name "Avg_chl_a";
    String units "microgram per liter (µg L-1)";
  }
  NH3 {
    Float32 actual_range 0.0011, 0.1445;
    String long_name "Nh3";
    String units "microgram per liter (µg L-1)";
  }
  CL {
    Float32 actual_range 1.3, 32.0;
    String long_name "Cl";
    String units "microgram per liter (µg L-1)";
  }
  SO4 {
    Float32 actual_range 2.4, 21.1;
    String long_name "So4";
    String units "microgram per liter (µg L-1)";
  }
  NO2 {
    Float32 actual_range 0.0, 0.036;
    String long_name "No2";
    String units "microgram per liter (µg L-1)";
  }
  NO3 {
    Float32 actual_range 0.0, 0.402;
    String long_name "No3";
    String units "microgram per liter (µg L-1)";
  }
  SIO2 {
    Float32 actual_range -0.0212, 2.3636;
    String long_name "Sio2";
    String units "microgram per liter (µg L-1)";
  }
  SRP {
    Float32 actual_range -0.0038, 0.0323;
    String long_name "Srp";
    String units "microgram per liter (µg L-1)";
  }
  Total_Phosphorus {
    Float32 actual_range 0.0023, 0.1595;
    String long_name "Total_phosphorus";
    String units "microgram per liter (µg L-1)";
  }
  Total_Nitrogen {
    Float32 actual_range 0.101, 0.542;
    String long_name "Total_nitrogen";
    String units "microgram per liter (µg L-1)";
  }
  Avg_Green_Algae {
    Float32 actual_range -0.43, 4.64;
    String long_name "Avg_green_algae";
    String units "ug/L";
  }
  Avg_Bluegreen {
    Float32 actual_range 0.0, 1.19;
    String long_name "Avg_bluegreen";
    String units "ug/L";
  }
  Avg_Diatoms {
    Float32 actual_range 0.14, 7.53;
    String long_name "Avg_diatoms";
    String units "ug/L";
  }
  Avg_Cryptophyta {
    Float32 actual_range 0.01, 0.6;
    String long_name "Avg_cryptophyta";
    String units "ug/L";
  }
  Avg_Yellow_Substances {
    Float32 actual_range 0.25, 1.84;
    String long_name "Avg_yellow_substances";
    String units "relative units (r.u.)";
  }
  Avg_Total_Conc {
    Float32 actual_range 0.55, 12.56;
    String long_name "Avg_total_conc";
    String units "ug/L";
  }
  Avg_Transmission {
    Float32 actual_range 78.27, 100.0;
    String long_name "Avg_transmission";
    String units "percent (%)";
  }
  Aulacoseira_islandica {
    Int32 actual_range 88, 266;
    String long_name "Aulacoseira_islandica";
    String units "Cells per milliliter (cells/mL)";
  }
  Stephanodiscus_spp {
    Int32 actual_range 5, 29;
    String long_name "Stephanodiscus_spp";
    String units "Cells per milliliter (cells/mL)";
  }
  Fragilaria_spp {
    Int32 actual_range 4, 38;
    String long_name "Fragilaria_spp";
    String units "Cells per milliliter (cells/mL)";
  }
  Skeletonema_spp {
    String long_name "Skeletonema_spp";
    String units "Cells per milliliter (cells/mL)";
  }
  centric_small {
    Int32 actual_range 200, 432;
    String long_name "Centric_small";
    String units "Cells per milliliter (cells/mL)";
  }
  Nitzschia {
    String long_name "Nitzschia";
    String units "Cells per milliliter (cells/mL)";
  }
  Asterionella {
    String long_name "Asterionella";
    String units "Cells per milliliter (cells/mL)";
  }
  Cyanobacteria {
    Int32 actual_range 31, 147;
    String long_name "Cyanobacteria";
    String units "Cells per milliliter (cells/mL)";
  }
  cryptomonads {
    Int32 actual_range 52, 191;
    String long_name "Cryptomonads";
    String units "Cells per milliliter (cells/mL)";
  }
  Dinoflagellates {
    Int32 actual_range 6, 6;
    String long_name "Dinoflagellates";
    String units "Cells per milliliter (cells/mL)";
  }
  chlorophytes {
    Int32 actual_range 18, 55;
    String long_name "Chlorophytes";
    String units "Cells per milliliter (cells/mL)";
  }
  Microflagellates {
    Int32 actual_range 10, 84;
    String long_name "Microflagellates";
    String units "Cells per milliliter (cells/mL)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.940112.1";
    Float64 Easternmost_Easting -79.3847;
    Float64 geospatial_lat_max 48.417;
    Float64 geospatial_lat_min 41.5153;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -79.3847;
    Float64 geospatial_lon_min -88.933;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1.0;
    Float64 geospatial_vertical_min 0.25;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-01-24T05:17:47Z (local files)
2025-01-24T05:17:47Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_940112_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/940112";
    String institution "BCO-DMO";
    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 48.417;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.5153;
    String summary "This dataset includes winter survey data from Lake Erie collected on SAR Erie Guardian, USCGC Morro Bay, USCGC Neah Bay, CCGS Griffon, CCGS Samuel Risley, MV Vigilant from March 2023 to May 2024. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.";
    String time_coverage_end "2024-05-20T17:10:00Z";
    String time_coverage_start "2023-03-29T12:05:00Z";
    String title "[Lake Erie Winter Surveys 2023-2024] - Winter survey data from Lake Erie from Mar 2023 to May 2024 (Lake Erie Center for Fresh Waters and Human Health)";
    Float64 Westernmost_Easting -88.933;
  }
}

 

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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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