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Dataset Title:	10.5066-P9Z0Z8DM - 11161Eexo-a
Institution:	Coastal and Marine Hazards and Resources Program, U.S. Geological Survey (Dataset ID: 10_5066_P9Z0Z8DM_11161Eexo_a_nc)
Range:	longitude = -74.7826 to -74.7826°E, latitude = 39.031647 to 39.031647°N, time = 2019-07-16T19:15:00Z to 2019-09-25T16:00:00Z
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 {
  station_id {
    String actual_range 
"10_5066_P9Z0Z8DM_11161Eexo_a_nc
10_5066_P9Z0Z8DM_11161Eexo_a_nc";
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station ID";
  }
  time {
    UInt32 _ChunkSizes 1024;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5633045e+9, 1.5694272e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "time (UTC)";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  CHLrfu {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 0.15, 6.09;
    String comments "Relative fluorescence units (RFU)";
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Chlorophyll A, RFU";
    Float64 maximum 6.09;
    Float64 minimum 0.15;
    String note 
"2024-01-02T19:41:01.757888+00:00: Values filled where difference between 5-point median filter and original values is greater than 5.0; 10 values affected. 
2024-01-02T19:41:01.768132+00:00: Data clipped using bad_ens values of ['2019-08-03 13:15:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17G101972";
    String units "percent";
  }
  Fch_906 {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 0.57, 24.71;
    String comments "from calibration of sensor with rhodamine W/T in lab";
    Int32 epic_code 906;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Chlorophyll A";
    Float64 maximum 24.71;
    Float64 minimum 0.57;
    String note 
"2024-01-02T19:41:01.768132+00:00: Values filled where difference between 5-point median filter and original values is greater than 20.0; 10 values affected. 
2024-01-02T19:41:01.768132+00:00: Data clipped using bad_ens values of ['2019-08-03 13:15:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17G101972";
    String standard_name "mass_concentration_of_chlorophyll_in_sea_water";
    String units "ug/L";
  }
  C_51 {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 4.210710000000001, 5.81648;
    Int32 epic_code 51;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Conductivity";
    Float64 maximum 5.81648;
    Float64 minimum 4.210710000000001;
    String note 
"2024-01-02T19:41:01.725266+00:00: Values filled where difference between 5-point median filter and original values is greater than 0.3; 8 values affected. 
2024-01-02T19:41:01.725266+00:00: Data clipped using bad_ens values of ['2019-08-03 13:15:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17H100725";
    String standard_name "sea_water_electrical_conductivity";
    String units "S/m";
  }
  fDOMQSU {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 2.56, 30.48;
    String comments "Quinine sulfate units (QSU)";
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Fluorescent dissolved organic matter, QSU";
    Float64 maximum 30.48;
    Float64 minimum 2.56;
    String note 
"2024-01-02T19:41:01.757888+00:00: Values filled where difference between 5-point median filter and original values is greater than 35.0; 0 values affected. 
2024-01-02T19:41:01.757888+00:00: Data clipped using bad_ens values of ['2019-08-05 02:00:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17G102978";
    String units "1e-9";
  }
  fDOMRFU {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 0.85, 10.36;
    String comments "Relative fluorescence units (RFU)";
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Fluorescent dissolved organic matter, RFU";
    Float64 maximum 10.36;
    Float64 minimum 0.85;
    String note 
"2024-01-02T19:41:01.745646+00:00: Values filled where difference between 5-point median filter and original values is greater than 13.5; 0 values affected. 
2024-01-02T19:41:01.755771+00:00: Data clipped using bad_ens values of ['2019-08-05 02:00:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17G102978";
    String units "percent";
  }
  OST_62 {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 14.4, 164.9;
    Int32 epic_code 62;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Oxygen percent saturation";
    Float64 maximum 164.9;
    Float64 minimum 14.4;
    String note 
"2024-01-02T19:41:01.788302+00:00: Data clipped using bad_ens values of ['2019-08-03 13:15:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17H101214";
    String standard_name "fractional_saturation_of_oxygen_in_sea_water";
    String units "percent";
  }
  DO {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 1.06, 10.17;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Dissolved oxygen";
    Float64 maximum 10.17;
    Float64 minimum 1.06;
    String note 
"2024-01-02T19:41:01.788302+00:00: Data clipped using bad_ens values of ['2019-08-03 13:15:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17H101214";
    String standard_name "mass_concentration_of_oxygen_in_sea_water";
    String units "mg/L";
  }
  S_41 {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 31.62, 33.68;
    String comments "Practical salinity units (PSU)";
    Int32 epic_code 41;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Salinity, PSU";
    Float64 maximum 33.68;
    Float64 minimum 31.62;
    String note 
"2024-01-02T19:41:01.717140+00:00: Values filled where data decreases by more than -2.0 units in a single time step; 12 values affected. 
2024-01-02T19:41:01.717140+00:00: Values filled where data increases by more than 2.0 units in a single time step; 14 values affected. 
2024-01-02T19:41:01.725266+00:00: Data clipped using bad_ens values of ['2019-08-03 13:15:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17H100725";
    String standard_name "sea_water_practical_salinity";
    String units "1";
  }
  SpC_48 {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 4.8457, 5.15;
    String comment "Temperature compensated to 25 °C";
    Int32 epic_code 48;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Specific Conductivity";
    Float64 maximum 5.15;
    Float64 minimum 4.8457;
    String note 
"2024-01-02T19:41:01.735389+00:00: Values filled where difference between 5-point median filter and original values is greater than 0.3; 8 values affected. 
2024-01-02T19:41:01.737520+00:00: Data clipped using bad_ens values of ['2019-08-03 13:15:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17H100725";
    String units "S/m";
  }
  TALPErfu {
    UInt32 _ChunkSizes 486;
    Float64 actual_range -0.16, 15.99;
    String comments "Relative fluorescence units (RFU); formerly called BGAPErfu (Blue green algae phycoerythrin, RFU)";
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Total algae phycoerythrin, RFU";
    Float64 maximum 15.99;
    Float64 minimum -0.16;
    String note 
"2024-01-02T19:41:01.776210+00:00: Values filled where difference between 5-point median filter and original values is greater than 20.0; 4 values affected. 
2024-01-02T19:41:01.778268+00:00: Data clipped using bad_ens values of ['2019-08-03 13:15:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17G101972";
    String units "percent";
  }
  TALPE {
    UInt32 _ChunkSizes 486;
    Float64 actual_range -0.71, 43.27;
    String comments "Formerly called BGAPE (Blue green algae phycoerythrin)";
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Total algae phycoerythrin";
    Float64 maximum 43.27;
    Float64 minimum -0.71;
    String note 
"2024-01-02T19:41:01.778268+00:00: Values filled where difference between 5-point median filter and original values is greater than 50.0; 5 values affected. 
2024-01-02T19:41:01.786287+00:00: Data clipped using bad_ens values of ['2019-08-03 13:15:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17G101972";
    String units "ug/L";
  }
  Turb {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 1.49, 27.18;
    String comments "Nephelometric turbidity units (NTU)";
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Turbidity, NTU";
    Float64 maximum 27.18;
    Float64 minimum 1.49;
    String note 
"2024-01-02T19:41:01.737520+00:00: Values filled where difference between 5-point median filter and original values is greater than 40.0; 5 values affected. 
2024-01-02T19:41:01.745646+00:00: Values filled where percent difference between 5-point median filter and original values is greater than 65.0; 5 values affected. 
2024-01-02T19:41:01.745646+00:00: Data clipped using bad_ens values of ['2019-08-03 13:15:00', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "17H101220";
    String standard_name "sea_water_turbidity";
    String units "1";
  }
  pH_159 {
    UInt32 _ChunkSizes 486;
    Int32 epic_code 159;
    String FillValue "nan";
    String ioos_category "Other";
    Float64 maximum NaN;
    Float64 minimum NaN;
    String note 
"2024-01-02T19:41:01.796411+00:00: Data clipped using bad_ens values of ['2019-07-16 19:07', '2019-09-25 16:15:00']. 
";
    String sensor_serial_number "14E100756";
    String standard_name "sea_water_ph_reported_on_total_scale";
    String units "1";
  }
  T_28 {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 16.204, 33.047;
    Int32 epic_code 28;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Temperature";
    Float64 maximum 33.047;
    Float64 minimum 16.204;
    String sensor_serial_number "17H100725";
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  Bat_106 {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 4.21, 6.08;
    Int32 epic_code 106;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Battery voltage";
    Float64 maximum 6.08;
    Float64 minimum 4.21;
    String units "V";
  }
  P_1 {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 10.527609044, 12.307836076;
    Int32 epic_code 1;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Uncorrected pressure";
    Float64 maximum 12.307836076;
    Float64 minimum 10.527609044;
    String sensor_serial_number "17H100171";
    String standard_name "sea_water_pressure";
    String units "dbar";
  }
  P_1ac {
    UInt32 _ChunkSizes 486;
    Float64 actual_range 0.4172592240000004, 2.180106863999999;
    String FillValue "nan";
    String ioos_category "Other";
    String long_name "Corrected pressure";
    Float64 maximum 2.180106863999999;
    Float64 minimum 0.4172592240000004;
    String note 
"2024-01-02T19:41:01.808768+00:00: Corrected for variations in atmospheric pressure using Cape May, NJ NOAA met station (ID: 8536110, located ~16 km from site). Missing atmospheric pressure data at station 8536110 was filled by data from NOAA stations Brandywine Shoal Light (ID: 8555889, located ~28 km from site) and Lewes, DE (ID: 8557380, located ~40 km from site). 
";
    String sensor_serial_number "17H100171";
    String standard_name "sea_water_pressure_due_to_sea_water";
    String units "dbar";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 39.031647, 39.031647;
    String axis "Y";
    Int32 epic_code 500;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -74.782598, -74.782598;
    String axis "X";
    Int32 epic_code 502;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  z {
    Float64 actual_range -1.016, -1.016;
    String axis "Z";
    String geopotential_datum_name "NAVD88";
    String ioos_category "Other";
    String long_name "height relative to NAVD88";
    String positive "up";
    String standard_name "height";
    String units "m";
  }
  depth_m {
    Float64 actual_range 1.1671496975849498, 1.1671496975849498;
    String ioos_category "Other";
    String long_name "depth below mean sea level";
    String positive "down";
    String standard_name "depth_below_geoid";
    String units "m";
  }
 }
  NC_GLOBAL {
    String atmospheric_pressure_correction_file "atmpres.cdf";
    Float64 atmospheric_pressure_correction_offset_applied -0.001592143999999962;
    String basefile "SH 1116_17H103144_071619_144500";
    String C_51_bad_ens 
"2019-08-03 13:15:00
2019-09-25 16:15:00";
    Float64 C_51_med_diff 0.3;
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id";
    String CHLrfu_bad_ens 
"2019-08-03 13:15:00
2019-09-25 16:15:00";
    Float64 CHLrfu_med_diff 5.0;
    Int32 ClockDrift 0;
    Int32 ClockError -14400;
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String COORD_SYSTEM "GEOGRAPHIC";
    String creator_url "https://www.usgs.gov";
    String DATA_CMNT "Var_bad_ens is used to fill sections of data that are unreliable due to potential interferences to the sensors by marsh material or sediment deposits, as well as filling obvious and unreliable spike anomalies that are not filled by other quality assurance and quality control (QAQC) methods. All pH data was filled for 1116E due to it being unreliable. The instrument platform was partially covered in ~5\" sand at time of recovery.";
    String DATA_ORIGIN "USGS WHCMSC Coastal and Estuarine Dynamics Group";
    String DATA_SUBTYPE "MOORED";
    Int32 DELTA_T 900;
    String Deployment_date "2019-07-16 19:07";
    Float64 DEPTH_CONST 0.0;
    String DESCRIPTION "Stone Harbor, New Jersey";
    String DO_bad_ens 
"2019-08-03 13:15:00
2019-09-25 16:15:00";
    Float64 DRIFTER 0.0;
    Float64 Easternmost_Easting -74.782598;
    String EXPERIMENT "NFWF - Hurricane Sandy Coastal Resiliency Program: Marsh Sediment Flux";
    String experiment_name "10.5066-P9Z0Z8DM";
    String Fch_906_bad_ens 
"2019-08-03 13:15:00
2019-09-25 16:15:00";
    Float64 Fch_906_med_diff 20.0;
    String fDOMQSU_bad_ens 
"2019-08-05 02:00:00
2019-09-25 16:15:00";
    Float64 fDOMQSU_med_diff 35.0;
    String fDOMRFU_bad_ens 
"2019-08-05 02:00:00
2019-09-25 16:15:00";
    Float64 fDOMRFU_med_diff 13.5;
    String featureType "TimeSeries";
    String Field_Activity_Number "2018-048-FA, 2018-056-FA, 2018-059-FA, 2019-006-FA, 2019-016-FA, 2019-023-FA, 2019-028-FA, 2019-036-FA, 2022-013-FA, 2023-015-FA, 2023-016-FA";
    String filename "11161Eexo";
    String geopotential_datum_name "NAVD88";
    String geopotential_datum_note "Elevation at seabed from RTK";
    Float64 geospatial_lat_max 39.031647;
    Float64 geospatial_lat_min 39.031647;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -74.782598;
    Float64 geospatial_lon_min -74.782598;
    String geospatial_lon_units "degrees_east";
    Float64 height_above_geopotential_datum -1.141;
    String history 
"2024-01-02T19:40:58.500283+00:00: Processed using exo.py with stglib 0.7.0+67.ga44417f, xarray 2022.12.0, NumPy 1.24.1, netCDF4 1.6.2, Python 3.11.0.
2024-01-02T19:40:58.500283+00:00: Time shifted by 14400 s from ClockError.
2024-01-02T19:41:01.704886+00:00: Data clipped using Deployment_date of 2019-07-16 19:07 and Recovery_date of 2019-09-25 16:12.

2024-12-12T02:00:50Z (local files)
2024-12-12T02:00:50Z https://cmgds.marine.usgs.gov/tabledap/10_5066_P9Z0Z8DM_11161Eexo_a_nc.das";
    String infoUrl "https://cmgds.marine.usgs.gov/ocean-time-series/";
    Float64 initial_instrument_height 0.125;
    String initial_instrument_height_note "From seabed to pressure port (meters)";
    String institution "Coastal and Marine Hazards and Resources Program, U.S. Geological Survey";
    String institution_url "https://woodshole.er.usgs.gov";
    String instrument_type "YSI EXO2 Multiparameter Sonde";
    Float64 latitude 39.031647;
    String LatLonDatum "NAD83";
    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 longitude -74.782598;
    Float64 magnetic_variation -12.03;
    String MOORING "1116E";
    String NCProperties "version=2,netcdf=4.8.1,hdf5=1.12.2";
    Float64 nominal_instrument_depth 1.167;
    Float64 Northernmost_Northing 39.031647;
    String OST_62_bad_ens 
"2019-08-03 13:15:00
2019-09-25 16:15:00";
    String P_1ac_note "Corrected for variations in atmospheric pressure using Cape May, NJ NOAA met station (ID: 8536110, located ~16 km from site). Missing atmospheric pressure data at station 8536110 was filled by data from NOAA stations Brandywine Shoal Light (ID: 8555889, located ~28 km from site) and Lewes, DE (ID: 8557380, located ~40 km from site).";
    String pH_159_bad_ens 
"2019-07-16 19:07
2019-09-25 16:15:00";
    String platform_type "Grated Fiberglass Bottom Lander";
    Float64 POS_CONST 0.0;
    String PROJECT "USGS Coastal and Marine Hazards and Resources Program";
    String publisher_url "https://www.usgs.gov";
    String Recovery_date "2019-09-25 16:12";
    String S_41_bad_ens 
"2019-08-03 13:15:00
2019-09-25 16:15:00";
    Float64 S_41_max_diff 2.0;
    Float64 S_41_min_diff -2.0;
    String SciPi "N. Ganju";
    String serial_number "17H103144";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 39.031647;
    String SpC_48_bad_ens 
"2019-08-03 13:15:00
2019-09-25 16:15:00";
    Float64 SpC_48_med_diff 0.3;
    String start_time "2019-07-16T19:15:00.000000000";
    String stop_time "2019-09-25T16:00:00.000000000";
    String subsetVariables "station_id";
    String summary "10.5066-P9Z0Z8DM - 11161Eexo-a";
    String TALPE_bad_ens 
"2019-08-03 13:15:00
2019-09-25 16:15:00";
    Float64 TALPE_med_diff 50.0;
    String TALPErfu_bad_ens 
"2019-08-03 13:15:00
2019-09-25 16:15:00";
    Float64 TALPErfu_med_diff 20.0;
    String time_coverage_end "2019-09-25T16:00:00Z";
    String time_coverage_start "2019-07-16T19:15:00Z";
    String title "10.5066-P9Z0Z8DM - 11161Eexo-a";
    String Turb_bad_ens 
"2019-08-03 13:15:00
2019-09-25 16:15:00";
    Float64 Turb_med_diff 40.0;
    Float64 Turb_med_diff_pct 65.0;
    Float64 VAR_FILL NaN;
    Float64 WATER_DEPTH 1.292;
    String WATER_DEPTH_NOTE "(meters), Mean water level from data";
    String WATER_MASS "Great Channel/Atlantic Ocean";
    Float64 Westernmost_Easting -74.782598;
    String zeroed_pressure "No";
  }
}

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.