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Dataset Title:	Daily average temperature, salinity, conductivity, O2 collected by YSI sensors in Florida lagoons along the East coast of Florida from Fort Matanzas to St. Lucie County in 2008-2009
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_3678)
Range:	longitude = -81.2382 to -80.2627°E, latitude = 27.3149 to 29.6702°N
Information:	Summary | License | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  year latitude longitude temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day Y Axis:  year latitude longitude temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day Color:  year latitude longitude temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day   Constraints Optional Constraint #1 Optional Constraint #2 year site_id site_descrip latitude longitude date month_local day_local temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day     != =~ <= >= = < >     != =~ <= >= = < > year site_id site_descrip latitude longitude date month_local day_local temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day     != =~ <= >= = < >     != =~ <= >= = < > year site_id site_descrip latitude longitude date month_local day_local temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day     != =~ <= >= = < >     != =~ <= >= = < > year site_id site_descrip latitude longitude date month_local day_local temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day     != =~ <= >= = < >     != =~ <= >= = < > year site_id site_descrip latitude longitude date month_local day_local temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean (" year site_id site_descrip latitude longitude date month_local day_local temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day year site_id site_descrip latitude longitude date month_local day_local temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day year site_id site_descrip latitude longitude date month_local day_local temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day year site_id site_descrip latitude longitude date month_local day_local temp_max temp_min temp_avg temp_stdev temp_sterr cond_mS_max cond_mS_min cond_mS_avg cond_mS_stdev cond_mS_sterr sal_max sal_min sal_avg sal_stdev sal_sterr O2_max O2_min O2_avg O2_stdev O2_sterr depth_ft_max depth_ft_min depth_ft_avg depth_ft_stdev depth_ft_sterr measurements_per_day ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle 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 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:

 

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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 {
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2008, 2009;
    String bcodmo_name "year";
    String description "4-digit year";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "dimensionless";
  }
  site_id {
    String bcodmo_name "Site_ID";
    String description "Code of the sampling site.";
    String long_name "Site Id";
    String units "dimensionless";
  }
  site_descrip {
    String bcodmo_name "site_descrip";
    String description "Name of the sampling site.";
    String long_name "Site Descrip";
    String units "dimensionless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 27.3149, 29.6702;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude, in decimal degrees. Positive = north.";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -81.2382, -80.2627;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude, in decimal degrees. Negative = west.";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  date {
    String bcodmo_name "date";
    String description "Sampling date in mm/dd/yy format.";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "dimensionless";
  }
  month_local {
    String bcodmo_name "month_local";
    String description "Month when sampling occurred (0 to 12).";
    String long_name "Month Local";
    String units "dimensionless";
  }
  day_local {
    String bcodmo_name "day_local";
    String description "Day of month when sampling occurred (0 to 31).";
    String long_name "Day Local";
    String units "dimensionless";
  }
  temp_max {
    Float32 _FillValue NaN;
    Float32 actual_range 24.44, 35.19;
    String bcodmo_name "temperature";
    String description "Maximum daily water temperature.";
    String long_name "Temp Max";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees C";
  }
  temp_min {
    Float32 _FillValue NaN;
    Float32 actual_range 21.21, 31.79;
    String bcodmo_name "temperature";
    String description "Minimum daily water temperature.";
    String long_name "Temp Min";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees C";
  }
  temp_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 23.25, 32.75;
    String bcodmo_name "temperature";
    String description "Average daily water temperature.";
    String long_name "Temp Avg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees C";
  }
  temp_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.06, 2.59;
    String bcodmo_name "unknown";
    String description "Standard deviation of temp_avg.";
    String long_name "Temp Stdev";
    String units "degrees C";
  }
  temp_sterr {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 0.38;
    String bcodmo_name "unknown";
    String description "Standard error of temp_avg.";
    String long_name "Temp Sterr";
    String units "degrees C";
  }
  cond_mS_max {
    Float32 _FillValue NaN;
    Float32 actual_range 8.44, 66.75;
    String bcodmo_name "conductivity mS";
    String description "Maximum daily specific conductivity.";
    String long_name "Cond M S Max";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "mS/cm";
  }
  cond_mS_min {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 63.68;
    String bcodmo_name "conductivity mS";
    String description "Minimum daily specific conductivity.";
    String long_name "Cond M S Min";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "mS/cm";
  }
  cond_mS_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 2.57, 65.42;
    String bcodmo_name "conductivity mS";
    String description "Average daily specific conductivity.";
    String long_name "Cond M S Avg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "mS/cm";
  }
  cond_mS_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 23.4;
    String bcodmo_name "unknown";
    String description "Standard deviation of cond_mS_avg.";
    String long_name "Cond M S Stdev";
    String units "mS/cm";
  }
  cond_mS_sterr {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 3.33;
    String bcodmo_name "unknown";
    String description "Standard error of cond_mS_avg.";
    String long_name "Cond M S Sterr";
    String units "mS/cm";
  }
  sal_max {
    Float32 _FillValue NaN;
    Float32 actual_range 4.66, 43.39;
    String bcodmo_name "unknown";
    String description "Maximum daily salinity.";
    String long_name "Sal Max";
    String units "ppt";
  }
  sal_min {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 41.39;
    String bcodmo_name "unknown";
    String description "Minimum daily salinity.";
    String long_name "Sal Min";
    String units "ppt";
  }
  sal_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 1.35, 42.53;
    String bcodmo_name "unknown";
    String description "Average daily salinity.";
    String long_name "Sal Avg";
    String units "ppt";
  }
  sal_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 15.41;
    String bcodmo_name "unknown";
    String description "Standard deviation of sal_avg.";
    String long_name "Sal Stdev";
    String units "ppt";
  }
  sal_sterr {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 2.07;
    String bcodmo_name "unknown";
    String description "Standard error of sal_avg.";
    String long_name "Sal Sterr";
    String units "ppt";
  }
  O2_max {
    Float32 _FillValue NaN;
    Float32 actual_range 44.4, 310.3;
    String bcodmo_name "O2_sat_pcnt";
    String description "Maximum daily dissolved O2 saturation (as a percent).";
    String long_name "O2 Max";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/OXYSZZ01/";
    String units "%";
  }
  O2_min {
    Float32 _FillValue NaN;
    Float32 actual_range 1.4, 119.8;
    String bcodmo_name "O2_sat_pcnt";
    String description "Minimum daily dissolved O2 saturation (as a percent).";
    String long_name "O2 Min";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/OXYSZZ01/";
    String units "%";
  }
  O2_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 13.66, 145.63;
    String bcodmo_name "O2_sat_pcnt";
    String description "Average daily dissolved O2 saturation (as a percent).";
    String long_name "O2 Avg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/OXYSZZ01/";
    String units "%";
  }
  O2_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 1.41, 91.73;
    String bcodmo_name "unknown";
    String description "Standard deviation of O2_avg.";
    String long_name "O2 Stdev";
    String units "%";
  }
  O2_sterr {
    Float32 _FillValue NaN;
    Float32 actual_range 0.34, 11.85;
    String bcodmo_name "unknown";
    String description "Standard error of O2_avg.";
    String long_name "O2 Sterr";
    String units "%";
  }
  depth_ft_max {
    Float32 _FillValue NaN;
    Float32 actual_range -0.46, 5.5;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Maximum daily sampling depth.";
    String long_name "Depth";
    String standard_name "depth";
    String units "feet";
  }
  depth_ft_min {
    Float32 _FillValue NaN;
    Float32 actual_range -1.18, 5.4;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Minimum daily sampling depth.";
    String long_name "Depth";
    String standard_name "depth";
    String units "feet";
  }
  depth_ft_avg {
    Float64 _FillValue NaN;
    Float64 actual_range -0.74, 5.4;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Average daily sampling depth.";
    String long_name "Depth";
    String standard_name "depth";
    String units "feet";
  }
  depth_ft_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.72;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Standard deviation of depth_ft_avg.";
    String long_name "Depth";
    String standard_name "depth";
    String units "feet";
  }
  depth_ft_sterr {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.14;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Standard error of depth_ft_avg.";
    String long_name "Depth";
    String standard_name "depth";
    String units "feet";
  }
  measurements_per_day {
    Byte _FillValue 127;
    Byte actual_range 0, 96;
    String bcodmo_name "unknown";
    String description "Total number of measurements made per day at the sampling site.";
    String long_name "Measurements Per Day";
    String units "dimensionless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Each sonde was moored to a private or public dock at the edge of the lagoon.
Data were recorded at 15 minute intervals during each sampling day. Values
were averaged for each day at each location.";
    String awards_0_award_nid "55000";
    String awards_0_award_number "OCE-0830547";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0830547";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Daily averaged YSI sensor data from FL Lagoons 
 Project: Patterns of Larval Dispersal and Postsettlement Selection Shaping 
  Connectivity of Oyster Populations Along an Ecotone 
 PI: Matthew Hare (Cornell University) 
 Version: 25 July 2012";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2012-07-25T15:31:17Z";
    String date_modified "2019-02-22T21:32:39Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3678.1";
    Float64 Easternmost_Easting -80.2627;
    Float64 geospatial_lat_max 29.6702;
    Float64 geospatial_lat_min 27.3149;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -80.2627;
    Float64 geospatial_lon_min -81.2382;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-04-20T00:03:26Z (local files)
2024-04-20T00:03:26Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3678.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3678";
    String institution "BCO-DMO";
    String instruments_0_acronym "YSI Sonde 6-Series";
    String instruments_0_dataset_instrument_description "Instruments were YSI SONDE 600. Data were filtered to remove readings during calibration or other unreliable data. Missing data mostly occur due to instrument or battery failure.";
    String instruments_0_dataset_instrument_nid "5690";
    String instruments_0_description "YSI 6-Series water quality sondes and sensors are instruments for environmental monitoring and long-term deployments. YSI datasondes accept multiple water quality sensors (i.e., they are multiparameter sondes). Sondes can measure temperature, conductivity, dissolved oxygen, depth, turbidity, and other water quality parameters. The 6-Series includes several models. More from YSI.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0737/";
    String instruments_0_instrument_name "YSI Sonde 6-Series";
    String instruments_0_instrument_nid "663";
    String instruments_0_supplied_name "YSI Sonde 6-Series";
    String keywords "altimetry, average, bco, bco-dmo, biological, chemical, cond, cond_mS_avg, cond_mS_max, cond_mS_min, cond_mS_stdev, cond_mS_sterr, data, dataset, date, day, day_local, depth, depth_ft_avg, depth_ft_max, depth_ft_min, depth_ft_stdev, depth_ft_sterr, descrip, deviation, dmo, erddap, laboratory, latitude, local, longitude, management, max, measurements, measurements_per_day, min, month, month_local, O2, O2_avg, O2_max, O2_min, O2_stdev, O2_sterr, oceanography, office, oxygen, per, preliminary, sal, sal_avg, sal_max, sal_min, sal_stdev, sal_sterr, satellite, site, site_descrip, site_id, standard, standard deviation, stdev, sterr, temp_avg, temp_max, temp_min, temp_stdev, temp_sterr, temperature, year";
    String license "https://www.bco-dmo.org/dataset/3678/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3678";
    Float64 Northernmost_Northing 29.6702;
    String param_mapping "{'3678': {'lat': 'master - latitude', 'depth_ft_avg': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3678/parameters";
    String people_0_affiliation "Cornell University";
    String people_0_affiliation_acronym "Cornell";
    String people_0_person_name "Dr Matthew Hare";
    String people_0_person_nid "51546";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Cornell University";
    String people_1_affiliation_acronym "Cornell";
    String people_1_person_name "Dr Matthew Hare";
    String people_1_person_nid "51546";
    String people_1_role "Contact";
    String people_1_role_type "related";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Shannon Rauch";
    String people_2_person_nid "51498";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Oyster Connectivity";
    String projects_0_acronym "Oyster Connectivity";
    String projects_0_description 
"From NSF Award Abstract:
Population persistence and the scale of local adaptation are determined by both larval connectivity and post-settlement selection when habitats are spatially heterogeneous for growth and/or reproduction. Unfortunately, the relative importance of factors acting before and after settlement that limit recruitment and gene flow is still unknown for most species and most marine ecosystems. This is partly because the interactions between larval behavior and hydrography are difficult to study, so dispersal constraints are only inferred indirectly. In addition, many marine species are not amenable to strong spatial tests of post-settlement selection and these experiments are difficult to accomplish at the large spatial scales relevant to high dispersal species. Consequently, only a handful of natural systems have yielded results that distinguish pre- and post-settlement constraints on gene flow such that our understanding of mechanisms generating genetic and phenotypic population structure is piece meal.
The intellectual merit of the study is that it achieves this dual goal in an estuarine species inhabiting semi-connected lagoons along eastern Florida where there is a latitudinal gradient in environmental variables, community composition, and potential larval dispersal vectors. Much of the western North Atlantic coastline includes shallow lagoons enclosed by barrier islands, but only a handful of studies have measured connectivity among estuaries, and none among lagoons. This project builds on significant previous research on the eastern oyster, Crassostrea Virginica to integrate pre- and post-settlement measurements. High resolution genetic identification of migrants will be used to construct a connectivity matrix among 30 populations in each of three years. Statistical associations will be tested between dispersal patterns and hypothesized dispersal vectors and constraints. Cohort analysis will be used to test for spatial variation in genotype-specific survivorship along the entire coast. Also, in each of two years, relative postsettlement survivorship and performance will be measured in field common gardens in which local individuals, migrants and hybrids are compared. Finally, fertilization efficiency of within- and between-population crosses will be compared to test the hypothesis that gamete incompatibilities limit gene flow. The results will be integrated in models that describe the spatially and/or temporally dynamic balance between dispersal and selection, define the spatial scale of local adaptation along the ecotone, and identify abiotic gene flow constraints that may affect codistributed species.";
    String projects_0_end_date "2012-03";
    String projects_0_geolocation "East coast of Florida from Fort Matanzas to St. Lucie Co.";
    String projects_0_name "Patterns of Larval Dispersal and Postsettlement Selection Shaping Connectivity of Oyster Populations Along an Ecotone";
    String projects_0_project_nid "2230";
    String projects_0_project_website "http://www2.dnr.cornell.edu/HareLab/Research.html#divzoo";
    String projects_0_start_date "2007-08";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 27.3149;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Daily average temperature, salinity, conductivity, O2 collected by YSI sensors in Florida lagoons along the East coast of Florida from Fort Matanzas to St. Lucie County in 2008-2009. Data include temperature, salinity, dissolved oxygen, pH, and depth at 15 minute intervals.";
    String title "Daily average temperature, salinity, conductivity, O2 collected by YSI sensors in Florida lagoons along the East coast of Florida from Fort Matanzas to St. Lucie County in 2008-2009";
    String version "1";
    Float64 Westernmost_Easting -81.2382;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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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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