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Dataset Title:	Lunenburg County Water Quality Data
Institution:	CMAR (Dataset ID: eda5-aubu)
Range:	longitude = -64.25171 to -64.01738°E, latitude = 44.43335 to 44.5713°N, depth = 2.0 to 40.0m, time = 2015-11-17T17:00:00Z to 2024-11-21T16:15:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

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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.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  waterbody {
    String ioos_category "Unknown";
    String long_name "Waterbody";
  }
  station {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station";
  }
  lease {
    String ioos_category "Unknown";
    String long_name "Lease";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 44.43335, 44.5713;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -64.25171, -64.01738;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -190.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  deployment_start_date {
    Float64 actual_range 1.4477184e+9, 1.714608e+9;
    String ioos_category "Time";
    String long_name "Deployment Start Date";
    String source_name "deployment_start_date";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  deployment_end_date {
    Float64 actual_range 1.4757984e+9, 1.7321472e+9;
    String ioos_category "Time";
    String long_name "Deployment End Date";
    String source_name "deployment_end_date";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  string_configuration {
    String ioos_category "Unknown";
    String long_name "String Configuration";
  }
  sensor_type {
    String ioos_category "Unknown";
    String long_name "Sensor Type";
  }
  sensor_serial_number {
    String ioos_category "Unknown";
    String long_name "Sensor Serial Number";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.4477796e+9, 1.7322057e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Timestamp";
    String source_name "timestamp_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 2.0, 40.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Sensor depth at low tide";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  depth_crosscheck_flag {
    String ancillary_variables "sensor_depth_at_low_tide_m";
    String ioos_category "Quality";
    String long_name "Depth Crosscheck Flag";
    String standard_name "quality_flag";
  }
  dissolved_oxygen {
    Float32 actual_range -101.0, 257.0;
    String ioos_category "Dissolved O2";
    String long_name "Volume Fraction Of Oxygen In Sea Water";
    String standard_name "volume_fraction_of_oxygen_in_sea_water";
    String units "% saturation";
  }
  dissolved_oxygen_uncorrected {
    Float32 actual_range -888.88, 25.88;
    String ioos_category "Dissolved O2";
    String long_name "Mass Concentration of Oxygen in Sea Water";
    String standard_name "mass_concentration_of_oxygen_in_sea_water";
    String units "mg/L";
  }
  salinity {
    Float32 actual_range 27.2, 32.0;
    String ioos_category "Salinity";
    String long_name "Salinity";
    String standard_name "sea_water_salinity";
    String units "1e-3";
  }
  sensor_depth_measured {
    Float32 actual_range 0.5, 43.0;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String ioos_category "Location";
    String long_name "Depth measured by sensor";
    String units "m";
  }
  temperature {
    Float32 _FillValue NaN;
    Float32 actual_range -888.88, 57.745;
    String ioos_category "Temperature";
    String long_name "Sea Water Temperature";
    String standard_name "sea_water_temperature";
    String units "degrees_Celsius";
  }
  qc_flag_dissolved_oxygen {
    String ancillary_variables "dissolved_oxygen";
    String ioos_category "Quality";
    String long_name "Quality Flag for Parameter: Dissolved Oxygen (Percent Saturation)";
    String standard_name "quality_flag";
  }
  qc_flag_dissolved_oxygen_uncorrected {
    String ancillary_variables "dissolved_oxygen_uncorrected";
    String ioos_category "Quality";
    String long_name "Quality Flag for Parameter: Dissolved Oxygen Uncorrected (mg/L)";
    String standard_name "quality_flag";
  }
  qc_flag_salinity {
    String ancillary_variables "salinity";
    String ioos_category "Quality";
    String long_name "Quality Flag for Parameter: Salinity (PSU)";
    String standard_name "quality_flag";
  }
  qc_flag_sensor_depth_measured {
    String ancillary_variables "sensor_depth_measured";
    String ioos_category "Quality";
    String long_name "Quality Flag for Parameter: Sensor Depth Measured (m)";
    String standard_name "quality_flag";
  }
  qc_flag_temperature {
    String ancillary_variables "temperature";
    String ioos_category "Quality";
    String long_name "Quality Flag for Parameter: Temperature (Degree Celsius)";
    String standard_name "quality_flag";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "waterbody,station,sensor_type,sensor_serial_number";
    String contributor_name "Centre for Marine Applied Research (CMAR)";
    String contributor_role "owner";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info(at)cmar.ca";
    String creator_name "CMAR";
    String creator_type "person";
    String date_created "2020-10-15T16:14:32Z";
    Float64 Easternmost_Easting -64.01738;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 44.5713;
    Float64 geospatial_lat_min 44.43335;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -64.01738;
    Float64 geospatial_lon_min -64.25171;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 40.0;
    Float64 geospatial_vertical_min 2.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-02-17T19:51:54Z (local files)
2025-02-17T19:51:54Z https://cioosatlantic.ca/tabledap/eda5-aubu.das";
    String infoUrl "https://cmar.ca/coastal-monitoring-program/";
    String institution "CMAR";
    String instrument "hobo-10034842,hobo-10034873,aquameasure-670369,aquameasure-670370,aquameasure-670371,aquameasure-670372,aquameasure-670368,hobo-10755247,hobo-10194920,hobo-10777103,hobo-10777109,aquameasure-670295,aquameasure-670296,vr2ar-547088,hobo-10755227,hobo-10755242,hobo-10817399,vr2ar-547091,aquameasure-670298,aquameasure-670297,vr2ar-547087,aquameasure-670351,hobo-10194899,hobo-10779129,hobo-10817503,aquameasure-670299,aquameasure-670350,vr2ar-547094,aquameasure-670366,aquameasure-670365,aquameasure-670354,hobo-20291423,hobo-20291484,hobo-20291429,hobo-20291428,hobo-20291449,hobo-20291433,aquameasure-670355,aquameasure-670356,hobo-10034850,hobo-10755213,hobo-10755251,aquameasure-680154,aquameasure-675010,hobo-20495251,aquameasure-670379,hobo-10755230,hobo-20291422,hobo-20291450,hobo-20291485,hobo-20495212,hobo-20495253,hobo-20291477,hobo-20687286,hobo-20495244,hobo-10755265,hobo-20687285,vr2ar-548036,aquameasure-670380,vr2ar-548041,hobo-20291467,hobo-20804688,hobo-20820377,hobo-20834033,hobo-20495248,hobo-20834024,hobo-20827226,hobo-20834026,hobo-20291475,hobo-20834028,hobo-20834029,hobo-20900974,hobo-20922072,hobo-21043074,hobo-21043077,vr2ar-549341,hobo-20900975,hobo-20922071,hobo-21043066,hobo-20900965,hobo-21043069,hobo-21043075,hobo-21043083,aquameasure-675014,aquameasure-675008,hobo-20834030,vr2ar-548042,hobo-20495228,hobo-21082882,hobo-21082891,hobo-21083051,hobo-20291452,hobo-21043067,hobo-21083048,vr2ar-548039,hobo-20308050,hobo-21083049,hobo-21152416,vr2ar-549345,hobo-10817496,hobo-20291487,hobo-21082887,hobo-21083050,hobo-21152432,vr2ar-550757,hobo-20308042,hobo-20495209,hobo-21043068,hobo-21082880,hobo-21152426,hobo-20291444,hobo-20763565,hobo-20900985,hobo-21082888,hobo-20495235,hobo-20763559,hobo-20820380,hobo-20291431,hobo-21082886,vr2ar-547097,hobo-20291482,hobo-21043079,hobo-20330416,hobo-20820324,hobo-21155068,hobo-21488192,hobo-10817401,hobo-20291440,hobo-20291488,hobo-21309145,hobo-20291476,hobo-21152417,aquameasure-675018,hobo-20291446,hobo-20308047,hobo-21082881,hobo-21465783,vr2ar-548603,hobo-21465779,hobo-21465797,hobo-21465806,vr2ar-548585,hobo-21155090,hobo-21465762,hobo-21465790,hobo-21465794,hobo-21465795,hobo-21465745,hobo-21465746,hobo-21465801,hobo-21434535,hobo-21429533,vr2ar-600015,hobo-20291459,hobo-20495236,vr2ar-548562,hobo-20308045,hobo-21082890,hobo-20820329,hobo-21309144,vr2ar-549346,hobo-21152408,vr2ar-547090,hobo-21465757,hobo-20495256,hobo-20291437,hobo-20495249,hobo-20820323,hobo-20291479,hobo-20495245,hobo-20291430,hobo-20291453,vr2ar-548044,hobo-20291432,hobo-20495211,hobo-20495220,hobo-21473802,hobo-21488196,hobo-21082892,hobo-21429532,hobo-10817404,hobo-20495242,hobo-21650144,vr2ar-549340,vr2ar-549347,vr2ar-548564,vr2ar-548579";
    String keywords "aquaculture, buoy, centre for marine applied research, climate change, cmar, coast, coastal monitoring program, dissolved oxygen, downloadable data, ecosystem, environment, environmental monitoring, essential ocean variables, fisheries, lunenburg county, mooring, nova scotia, ocean, oceanography, salinity, temperature, water quality";
    String license "Nova Scotia Open Government Licence";
    Float64 Northernmost_Northing 44.5713;
    String publisher_email "info(at)cmar.ca";
    String publisher_institution "Centre for Marine Applied Research (CMAR)";
    String publisher_name "Centre for Marine Applied Research (CMAR)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.43335;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "waterbody, station, sensor_type, sensor_serial_number,lease,string_configuration,qc_flag_dissolved_oxygen,qc_flag_dissolved_oxygen_uncorrected,qc_flag_salinity,qc_flag_sensor_depth_measured,qc_flag_temperature,depth_crosscheck_flag";
    String summary "The Centre for Marine Applied Research (CMAR) provides high resolution ocean data from around the coast of Nova Scotia through their Coastal Monitoring Program. Through the Water Quality Branch of the program, CMAR collects temperature, dissolved oxygen, and salinity data using sensors deployed on stationary moorings. A typical mooring consists of a line anchored to the sea floor and suspended by a sub-surface buoy, with sensors attached at various depths. Alternatively, sensors may be attached to structures including buoys, docks, or aquaculture equipment. Sensors are deployed for several months, and data are measured every 1 minute to 1 hour. Station locations, summary reports, and data collection methods are available on the CMAR website (https://cmar.ca/coastal-monitoring-program/). Datasets and reports may be revised pending ongoing data collection and analyses. Automated Quality Control tests were applied to the data to identify outlying and unexpected observations. The results of these tests are summarized in the “qc_flag” columns of the dataset. Observations flagged as “Pass” passed all tests, while observations flagged as “Fail” failed at least one test and should be excluded from most analyses. “Suspect/Of Interest” flags highlight unusual events or poor quality data, and “Not Evaluated” flags indicate at least one test was not applied to the observation. Flags should be used as a guide only, and users are responsible for evaluating the data quality prior to use. For technical details on the Quality Control tests, visit the CMAR Data Governance website (https://dempsey-cmar.github.io/cmp-data-governance/pages/cmp_about.html). Other data quality considerations:  -       Through calibration-validation procedures, CMAR has discovered that the VR2AR temperature sensors typically record 0.5 – 1 °C lower than other temperature sensors. This is not corrected for or flagged in the datasets but may be in the future. - Sensor drift is not flagged in the datasets. -  The sensor_depth_at_low_tide_m is an estimate and should be compared to sensor_depth_measured_m when possible. Note the mooring can get “knocked down” by currents or sink from biofouling. Large discrepancies between the estimated depth and the minimum recorded depth are flagged in the column depth_crosscheck_flag. The Coastal Monitoring Program Water Quality data is organized by county. These datasets are very large, typically exceeding the number of rows that can be viewed in Excel. CMAR recommends filtering the data to the waterbody, station, depth, quality control flag, and/or time period of interest before exporting. Take care when exporting data filtered on quality control columns, because the whole row will be filtered (i.e., all other variables measured at that timestamp will also be excluded).  If you have accessed any Coastal Monitoring Program data, CMAR would appreciate your feedback: https://forms.gle/AyD7Vi3BpKGe6ueYA. Please acknowledge the Centre for Marine Applied Research in any published material that uses this data. Contact info@cmar.ca for more information.";
    String time_coverage_end "2024-11-21T16:15:00Z";
    String time_coverage_start "2015-11-17T17:00:00Z";
    String title "Lunenburg County Water Quality Data";
    Float64 Westernmost_Easting -64.25171;
  }
}

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 (external link)

Data Access Protocol (DAP) (external link)

and its selection constraints (external link)

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.