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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
  RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3678)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 year (dimensionless) ?          2008    2009
 site_id (dimensionless) ?              
 site_descrip (dimensionless) ?              
 latitude (degrees_north) ?          27.3149    29.6702
  < slider >
 longitude (degrees_east) ?          -81.2382    -80.2627
  < slider >
 date (dimensionless) ?              
 month_local (dimensionless) ?              
 day_local (dimensionless) ?              
 temp_max (degrees C) ?          24.44    35.19
 temp_min (degrees C) ?          21.21    31.79
 temp_avg (degrees C) ?          23.25    32.75
 temp_stdev (degrees C) ?          0.06    2.59
 temp_sterr (degrees C) ?          0.02    0.38
 cond_mS_max (mS/cm) ?          8.44    66.75
 cond_mS_min (mS/cm) ?          0.0    63.68
 cond_mS_avg (mS/cm) ?          2.57    65.42
 cond_mS_stdev (mS/cm) ?          0.01    23.4
 cond_mS_sterr (mS/cm) ?          0.0    3.33
 sal_max (ppt) ?          4.66    43.39
 sal_min (ppt) ?          0.0    41.39
 sal_avg (ppt) ?          1.35    42.53
 sal_stdev (ppt) ?          0.01    15.41
 sal_sterr (ppt) ?          0.0    2.07
 O2_max (%) ?          44.4    310.3
 O2_min (%) ?          1.4    119.8
 O2_avg (%) ?          13.66    145.63
 O2_stdev (%) ?          1.41    91.73
 O2_sterr (%) ?          0.34    11.85
 depth_ft_max (Depth, feet) ?          -0.46    5.5
 depth_ft_min (Depth, feet) ?          -1.18    5.4
 depth_ft_avg (Depth, feet) ?          -0.74    5.4
 depth_ft_stdev (Depth, feet) ?          0.0    0.72
 depth_ft_sterr (Depth, feet) ?          0.0    0.14
 measurements_per_day (dimensionless) ?          0    96
 
Server-side Functions ?
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2008, 2009;
    String description "4-digit year";
    String ioos_category "Time";
    String long_name "Year";
    String units "dimensionless";
  }
  site_id {
    String description "Code of the sampling site.";
    String ioos_category "Identifier";
    String long_name "Site Id";
    String units "dimensionless";
  }
  site_descrip {
    String description "Name of the sampling site.";
    String ioos_category "Unknown";
    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";
    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 standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -81.2382, -80.2627;
    String axis "X";
    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 standard_name "longitude";
    String units "degrees_east";
  }
  date {
    String description "Sampling date in mm/dd/yy format.";
    String ioos_category "Time";
    String long_name "Date";
    String units "dimensionless";
  }
  month_local {
    String description "Month when sampling occurred (0 to 12).";
    String ioos_category "Time";
    String long_name "Month Local";
    String units "dimensionless";
  }
  day_local {
    String description "Day of month when sampling occurred (0 to 31).";
    String ioos_category "Time";
    String long_name "Day Local";
    String units "dimensionless";
  }
  temp_max {
    Float32 _FillValue NaN;
    Float32 actual_range 24.44, 35.19;
    String description "Maximum daily water temperature.";
    String ioos_category "Unknown";
    String long_name "Temp Max";
    String units "degrees C";
  }
  temp_min {
    Float32 _FillValue NaN;
    Float32 actual_range 21.21, 31.79;
    String description "Minimum daily water temperature.";
    String ioos_category "Unknown";
    String long_name "Temp Min";
    String units "degrees C";
  }
  temp_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 23.25, 32.75;
    String description "Average daily water temperature.";
    String ioos_category "Unknown";
    String long_name "Temp Avg";
    String units "degrees C";
  }
  temp_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.06, 2.59;
    String description "Standard deviation of temp_avg.";
    String ioos_category "Unknown";
    String long_name "Temp Stdev";
    String units "degrees C";
  }
  temp_sterr {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 0.38;
    String description "Standard error of temp_avg.";
    String ioos_category "Unknown";
    String long_name "Temp Sterr";
    String units "degrees C";
  }
  cond_mS_max {
    Float32 _FillValue NaN;
    Float32 actual_range 8.44, 66.75;
    String description "Maximum daily specific conductivity.";
    String ioos_category "Unknown";
    String long_name "Cond M S Max";
    String units "mS/cm";
  }
  cond_mS_min {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 63.68;
    String description "Minimum daily specific conductivity.";
    String ioos_category "Unknown";
    String long_name "Cond M S Min";
    String units "mS/cm";
  }
  cond_mS_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 2.57, 65.42;
    String description "Average daily specific conductivity.";
    String ioos_category "Unknown";
    String long_name "Cond M S Avg";
    String units "mS/cm";
  }
  cond_mS_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 23.4;
    String description "Standard deviation of cond_mS_avg.";
    String ioos_category "Unknown";
    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 description "Standard error of cond_mS_avg.";
    String ioos_category "Unknown";
    String long_name "Cond M S Sterr";
    String units "mS/cm";
  }
  sal_max {
    Float32 _FillValue NaN;
    Float32 actual_range 4.66, 43.39;
    String description "Maximum daily salinity.";
    String ioos_category "Unknown";
    String long_name "Sal Max";
    String units "ppt";
  }
  sal_min {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 41.39;
    String description "Minimum daily salinity.";
    String ioos_category "Unknown";
    String long_name "Sal Min";
    String units "ppt";
  }
  sal_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 1.35, 42.53;
    String description "Average daily salinity.";
    String ioos_category "Unknown";
    String long_name "Sal Avg";
    String units "ppt";
  }
  sal_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 15.41;
    String description "Standard deviation of sal_avg.";
    String ioos_category "Unknown";
    String long_name "Sal Stdev";
    String units "ppt";
  }
  sal_sterr {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 2.07;
    String description "Standard error of sal_avg.";
    String ioos_category "Unknown";
    String long_name "Sal Sterr";
    String units "ppt";
  }
  O2_max {
    Float32 _FillValue NaN;
    Float32 actual_range 44.4, 310.3;
    String description "Maximum daily dissolved O2 saturation (as a percent).";
    String ioos_category "Dissolved O2";
    String long_name "O2 Max";
    String units "%";
  }
  O2_min {
    Float32 _FillValue NaN;
    Float32 actual_range 1.4, 119.8;
    String description "Minimum daily dissolved O2 saturation (as a percent).";
    String ioos_category "Dissolved O2";
    String long_name "O2 Min";
    String units "%";
  }
  O2_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 13.66, 145.63;
    String description "Average daily dissolved O2 saturation (as a percent).";
    String ioos_category "Dissolved O2";
    String long_name "O2 Avg";
    String units "%";
  }
  O2_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 1.41, 91.73;
    String description "Standard deviation of O2_avg.";
    String ioos_category "Dissolved O2";
    String long_name "O2 Stdev";
    String units "%";
  }
  O2_sterr {
    Float32 _FillValue NaN;
    Float32 actual_range 0.34, 11.85;
    String description "Standard error of O2_avg.";
    String ioos_category "Dissolved O2";
    String long_name "O2 Sterr";
    String units "%";
  }
  depth_ft_max {
    Float32 _FillValue NaN;
    Float32 actual_range -0.46, 5.5;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Maximum daily sampling depth.";
    String ioos_category "Location";
    String long_name "Depth";
    String standard_name "depth";
    String units "feet";
  }
  depth_ft_min {
    Float32 _FillValue NaN;
    Float32 actual_range -1.18, 5.4;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Minimum daily sampling depth.";
    String ioos_category "Location";
    String long_name "Depth";
    String standard_name "depth";
    String units "feet";
  }
  depth_ft_avg {
    Float64 _FillValue NaN;
    Float64 actual_range -0.74, 5.4;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Average daily sampling depth.";
    String ioos_category "Location";
    String long_name "Depth";
    String standard_name "depth";
    String units "feet";
  }
  depth_ft_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.72;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Standard deviation of depth_ft_avg.";
    String ioos_category "Location";
    String long_name "Depth";
    String standard_name "depth";
    String units "feet";
  }
  depth_ft_sterr {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.14;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Standard error of depth_ft_avg.";
    String ioos_category "Location";
    String long_name "Depth";
    String standard_name "depth";
    String units "feet";
  }
  measurements_per_day {
    Byte _FillValue 127;
    Byte actual_range 0, 96;
    String description "Total number of measurements made per day at the sampling site.";
    String ioos_category "Time";
    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 "Dr 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 2.2d  13 Jun 2019";
    String date_created "2012-07-25T15:31:17Z";
    String date_modified "2019-02-22T21:32:39Z";
    String defaultDataQuery "&time";
    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 
"2019-08-19T04:51:59Z (local files)
2019-08-19T04:51:59Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3678.html";
    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, dissolved, dissolved o2, dmo, erddap, identifier, 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, time, year";
    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.";
    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 "Patterns of Larval Dispersal and Postsettlement Selection Shaping Connectivity of Oyster Populations Along an Ecotone";
    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 "Shannon Rauch";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 27.3149;
    String standard_name_vocabulary "CF Standard Name Table v29";
    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() v1.5-beta";
  }
}

 

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.

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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