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Dataset Title:	Insomniacs/Daytrippers NB Cruise-based observations
Institution:	Brown University   (Dataset ID: insomniacs_001d_60da_f22e)
Range:	longitude = -71.44542 to -71.2698°E, latitude = 41.57638 to 41.8433°N, time = 2005-07-14T06:45:00Z to 2025-09-02T13:40:48Z
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  Seq time latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected Y Axis:  Seq time latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected Color:  Seq time latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected   Constraints Optional Constraint #1 Optional Constraint #2 Seq time Research_Group Station latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected     != =~ <= >= = < >     != =~ <= >= = < > Seq time Research_Group Station latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected     != =~ <= >= = < >     != =~ <= >= = < > Seq time Research_Group Station latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected     != =~ <= >= = < >     != =~ <= >= = < > Seq time Research_Group Station latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected     != =~ <= >= = < >     != =~ <= >= = < > Seq time Research_Group Station latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Seq time Research_Group Station latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected Seq time Research_Group Station latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected Seq time Research_Group Station latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected Seq time Research_Group Station latitude longitude Depth Salinity Temperature Density DO_Concentration DO_Saturation Chlorophyll_Lab_calibrated Chlorophyll_fluorescence_corrected ")   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 EK80  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 .croissant .csv .csv0 .csvp .das .dataTable .dds .dods .esriCsv .fgdc .geoJson .htmlTable .iso19115 .iso19115_2 .iso19115_3_2016 .iso19139_2007 .itx .json .jsonlCSV .jsonlCSV1 .jsonlKVP .mat .nc .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .ncHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .parquet .parquetWMeta .tsv .tsv0 .tsvp .wav .xhtml .kml .largePdf .largePng .pdf .png .smallPdf .smallPng .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 {
  Seq {
    Int32 _FillValue -999;
    Int32 actual_range 1, 96896;
    String long_name "Seq #";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.1213235e+9, 1.756820448e+9;
    String axis "T";
    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";
  }
  Research_Group {
    String long_name "Research Group";
  }
  Station {
    String cf_role "timeseries_id";
    String long_name "Station";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 41.576382, 41.8433;
    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";
    Float64 _FillValue NaN;
    Float64 actual_range -71.445421, -71.2698;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Depth {
    Float64 _FillValue NaN;
    Float64 actual_range 0.044, 26.5;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String long_name "Depth";
    String source_name "Depth (m)";
    String standard_name "depth";
    String units "m";
  }
  Salinity {
    Float64 _FillValue NaN;
    Float64 actual_range 0.373425, 66.7;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Sea Water Practical Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Temperature {
    Float64 _FillValue NaN;
    Float64 actual_range 2.15, 30.53;
    String long_name "Temperature";
    String units "degree_C";
  }
  Density {
    Float64 _FillValue NaN;
    Float64 actual_range -1.913333333, 24.05102222;
    String long_name "Density";
    String units "sigma_T";
  }
  DO_Concentration {
    Float64 _FillValue NaN;
    Float64 actual_range -1.505375, 82.0;
    String long_name "Dissolved Oxygen Concentration";
    String units "mg/L";
  }
  DO_Saturation {
    Float64 _FillValue NaN;
    Float64 actual_range -17.424, 934.0;
    String long_name "Dissolved Oxygen Saturation";
    String units "%";
  }
  Chlorophyll_Lab_calibrated {
    Float32 _FillValue NaN;
    Float32 actual_range 0.66, 222.43;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String long_name "CalibratedConcentration Of Chlorophyll In Sea Water";
    String standard_name "calibrated_concentration_of_chlorophyll_in_sea_water";
    String units "ug/L";
  }
  Chlorophyll_fluorescence_corrected {
    Float64 _FillValue NaN;
    Float64 actual_range -0.3, 196.0;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String long_name "Corrected Concentration Of Chlorophyll In Sea Water";
    String standard_name "corrected_concentration_of_chlorophyll_in_sea_water";
    String units "RFU";
  }
 }
  NC_GLOBAL {
    String acknowledgement "Funded by Narragansett Bay Estuary Program";
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "Station, longitude, latitude";
    String contributor_name "Warren Prell, Dave Murray, Joe Ichardo, Jamie Pahigian, Marcelo Alexandre, Heather Stoffel, Save the Bay, and the rest of the Insomniacs/Daytrippers team";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_institution "Brown University";
    String creator_name "Alejandra Lopez, Mara Freilich, Baylor Fox-Kemper, Lawrence Chen, Scout Chen, Qien Lin, Ntsika Mtwa";
    String creator_type "person";
    String defaultDataQuery "&time>=min(time)";
    Float64 Easternmost_Easting -71.2698;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 41.8433;
    Float64 geospatial_lat_min 41.576382;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -71.2698;
    Float64 geospatial_lon_min -71.445421;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-11-08T04:12:11Z (local files)
2026-11-08T04:12:11Z http://erddap.riddc.brown.edu/tabledap/insomniacs_001d_60da_f22e.das";
    String infoUrl "https://www.rimonitoring.org/dissolved-oxygen/recent-trends/";
    String institution "Brown University";
    String keywords "based, brown, chemistry, chlorophyll, Chlorophyll_fluorescence_corrected, Chlorophyll_Lab_calibrated, concentration, concentration_of_chlorophyll_in_sea_water, cruise, cruise-based, data, date, daytrippers, density, depth, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Salinity/Density > Salinity, group, i_Seq, insomniacs, latitude, longitude, mg/l, observations, ocean, oceans, percent, practical, salinity, sat, science, sea, sea_water_practical_salinity, seawater, sigma, station, Temp, temperature, time, time2, university, water, \\u00ef\\u00bb\\u00bfseq";
    String keywords_vocabulary "GCMD Science Keywords";
    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 41.8433;
    String references 
"Prell, W.L., D.W. Murray, and P. Howell. 2015. Reanalysis of the Narragansett Bay Spatial Survey (Day Trippers) Water Column Data for Temperature, Salinity, Density, and Dissolved Oxygen (2005 to 2013). Narragansett Bay Estuary Program, NBEP-15-128. http://nbep.org/publications/NBEP-15-128.pdf
        Prell, W.L, D.W. Murray, L. Carlson, and E. Thieleman 2016. Update and Integration of the 2014 and 2015 Data into the Spatial Survey Data Set and Generation of Decade-long (2005–2015) Trends of DO and Chlorophyll Distribution in Mid and Upper Narragansett Bay Dissolved Oxygen Bay Ecosystem Condition. Narragansett Bay Estuary Program State of Narragansett Bay and Its Watershed 2017 Technical Report nbep.org 295for the NBEP State of Our Watershed Report. Narragansett Bay Estuary Program, NBEP-16-132. http://nbep.org/publications/NBEP-16-132.pdf
        Deacutis, C.F., D. Murray, W. Prell, E. Saarman, and L. Korhun. 2006. Hypoxia in the upper half of Narragansett Bay, RI during August 2001 and 2002. Northeastern Naturalist 13:173–198.";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.576382;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Insomniacs/Daytrippers NB Cruise-based observations";
    String time_coverage_end "2025-09-02T13:40:48Z";
    String time_coverage_start "2005-07-14T06:45:00Z";
    String title "Insomniacs/Daytrippers NB Cruise-based observations";
    Float64 Westernmost_Easting -71.445421;
  }
}

 

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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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