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Dataset Title:  Processed CTD data from six cruises of the DeZoZoo project from R/V Hugh R.
Sharp in the Chesapeake Bay from 2010-2011 (DeZoZoo project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_561249)
Range: longitude = -76.4343 to -76.0507°E, latitude = 37.5585 to 39.3983°N, depth = 0.5 to 35.0m, time = 2010-05-26T10:22:57Z to 2011-09-28T13:39:46Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | 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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruise {
    String bcodmo_name "cruiseid";
    String description "Cruise Number - first two digits signify year (10 = 2010; 11 = 2011); second two digits signify the sequential number of the cruise in each year";
    String long_name "Cruise";
    String units "Number";
  }
  station {
    Byte _FillValue 127;
    Byte actual_range 0, 2;
    String bcodmo_name "station";
    String description "Station Number; in order occupied (1 = South Station; 2 = North Station; 0 = Scanfish Survey)";
    String long_name "Station";
    String units "Number";
  }
  campaign {
    Byte _FillValue 127;
    Byte actual_range 0, 4;
    String bcodmo_name "unknown";
    String description "Campaign Number; in order conducted (1 = Anchor; 2 = Trawl; 0 = Scanfish Survey)";
    String long_name "Campaign";
    String units "Number";
  }
  campaign_name {
    String bcodmo_name "brief_desc";
    String description "Campaign Name; which identifies both the station and the campaign";
    String long_name "Campaign Name";
    String units "Name";
  }
  CTD_cast {
    Byte _FillValue 127;
    Byte actual_range 1, 89;
    String bcodmo_name "cast";
    String description "Consecutive CTD number from each cruise";
    String long_name "CTD Cast";
    String units "Number";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 37.5585, 39.3983;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "North Latitude";
    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 -76.4343, -76.0507;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "West Longitude";
    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";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2010, 2011;
    String bcodmo_name "year";
    String description "Year data was collected";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "Year";
  }
  month_gmt {
    Byte _FillValue 127;
    Byte actual_range 5, 9;
    String bcodmo_name "month_gmt";
    String description "Month data was collected";
    String long_name "Month Gmt";
    String units "Month";
  }
  day_gmt {
    Byte _FillValue 127;
    Byte actual_range 19, 31;
    String bcodmo_name "day_gmt";
    String description "Day data was collected";
    String long_name "Day Gmt";
    String units "Day";
  }
  hour_gmt {
    Byte _FillValue 127;
    Byte actual_range 0, 23;
    String bcodmo_name "hour_gmt";
    String description "Hour data was collected";
    String long_name "Hour Gmt";
    String units "Hour";
  }
  minute_gmt {
    Byte _FillValue 127;
    Byte actual_range 0, 59;
    String bcodmo_name "minute_gmt";
    String description "Minute data was collected";
    String long_name "Minute Gmt";
    String units "Minute";
  }
  second_gmt {
    Byte _FillValue 127;
    Byte actual_range 0, 59;
    String bcodmo_name "seconds_gmt";
    String description "Second data was collected";
    String long_name "Second Gmt";
    String units "Second";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.274869377e+9, 1.317217186e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "ISO 8601:2004(E) standard for time.  Added to the dataset by the DMO.";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_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";
  }
  press {
    Float32 _FillValue NaN;
    Float32 actual_range 0.503, 35.267;
    String bcodmo_name "pressure";
    String description "Pressure in decibars";
    String long_name "Press";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "db";
  }
  temp {
    String bcodmo_name "temperature";
    String description "Temperature in degrees C from sensor 1";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "C";
  }
  temp2 {
    String bcodmo_name "temp2";
    String description "Temperature in degrees C from sensor 2";
    String long_name "Temp2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPS601/";
    String units "C";
  }
  cond {
    String bcodmo_name "conductivity";
    String description "Conductivity";
    String long_name "Cond";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "S/m";
  }
  cond2 {
    String bcodmo_name "cond2";
    String description "Conductivity";
    String long_name "Cond2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "S/m";
  }
  O2_volts {
    String bcodmo_name "O2_v";
    String description "Dissolved oxygen voltage";
    String long_name "O2 Volts";
    String units "mV";
  }
  fluor {
    String bcodmo_name "fluorescence";
    String description "Chlorophyll a fluorescence";
    String long_name "Fluor";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "mg/m3";
  }
  beam_atten {
    Float32 _FillValue NaN;
    Float32 actual_range 55.262, 55.262;
    String bcodmo_name "beam_cp";
    String description "Beam attenuation";
    String long_name "Beam Atten";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ATTNZZ01/";
    String units "1/m";
  }
  beam_trans {
    Byte _FillValue 127;
    Byte actual_range 0, 0;
    String bcodmo_name "light_trans";
    String description "Beam transmission";
    String long_name "Beam Trans";
    String units "%";
  }
  alt {
    Float32 _FillValue NaN;
    Float32 actual_range -10.43, 98.75;
    String bcodmo_name "altitude";
    String description "Depth of the altimiter";
    String long_name "Alt";
    String units "m";
  }
  O2_mg_L {
    String bcodmo_name "Dissolved_Oxygen";
    String description "Dissolved oxygen concentration in mg/L";
    String long_name "O2 Mg L";
    String units "mg/L";
  }
  O2_sat {
    String bcodmo_name "O2_sat_pcnt";
    String description "Dissolved oxygen saturation in %";
    String long_name "O2 Sat";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/OXYSZZ01/";
    String units "% saturation";
  }
  sigma_t {
    String bcodmo_name "sigma-t";
    String description "Density in kg/m3";
    String long_name "Sigma T";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTEQST/";
    String units "Kg/m3";
  }
  density_diff {
    String bcodmo_name "sigma-t";
    String description "Density difference between the primary and secondary sensors.";
    String long_name "Density Diff";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTEQST/";
    String units "Kg/m3";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.5, 35.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth in saltwater";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  temp_diff {
    String bcodmo_name "temperature";
    String description "Temperature difference calculated between different temperature sensors";
    String long_name "Temp Diff";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "C";
  }
  sal {
    String bcodmo_name "sal";
    String description "Salinity from sensor 1";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  sal2 {
    String bcodmo_name "sal2";
    String description "Salinity from sensor 2";
    String long_name "Sal2";
    String units "PSU";
  }
  bin {
    Byte _FillValue 127;
    Byte actual_range 0, 18;
    String bcodmo_name "nbin";
    String description "Number of scans averaged for this bin of data";
    String long_name "Bin";
    String units "Number";
  }
  flag {
    Byte _FillValue 127;
    Byte actual_range 0, 0;
    String bcodmo_name "flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Flagged data";
    String long_name "Flag";
    String units "n/a";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Data were collected using the shipboard SeaBird 9plus CTD fitted with a
variety of sensors. Sensors are listed in the table below:
 
CTD was lowered to within 2 m of the bottom slowly, with bottom depth
determined by CTD mounted altimeter. If samples were collected on a given CTD
cast, they were collected as the CTD was raised back to the surface using the
attached Rosette fitted with 10L Niskin Bottles.\\u00a0
 
\\u00a0
 Sensor | Serial Number   
---|---  
SBE 9plus pressure | 0445   
SBE Temperature 1 | 2574   
SBE Temperature 2 | 2631   
SBE Conductivity 1 | 2208   
SBE Conductivity 2 | 2209   
WetLabs FLNTU | 091   
SBE 43 Oxygen | 0539   
C-Star Transmissometer | n/a";
    String awards_0_award_nid "518409";
    String awards_0_award_number "OCE-0961942";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0961942";
    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 
"CTDs from Dead Zone study 
    Jamie Pierson, PI";
    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 "2015-06-29T15:51:03Z";
    String date_modified "2017-08-04T23:04:07Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.687991";
    Float64 Easternmost_Easting -76.0507;
    Float64 geospatial_lat_max 39.3983;
    Float64 geospatial_lat_min 37.5585;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -76.0507;
    Float64 geospatial_lon_min -76.4343;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 35.0;
    Float64 geospatial_vertical_min 0.5;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-08-09T10:47:11Z (local files)
2022-08-09T10:47:11Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_561249.das";
    String infoUrl "https://www.bco-dmo.org/dataset/561249";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD SBE 911";
    String instruments_0_dataset_instrument_description "Standard CTD911+ with fluorometer and oxygen sensors working.";
    String instruments_0_dataset_instrument_nid "561299";
    String instruments_0_description "The Sea-Bird SBE 911 is a type of CTD instrument package.  The SBE 911 includes the SBE 9 Underwater Unit and the SBE 11 Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 and SBE 11 is called a SBE 911.  The SBE 9 uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 and SBE 4). The SBE 9 CTD can be configured with auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). More information from Sea-Bird Electronics.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0035/";
    String instruments_0_instrument_name "CTD Sea-Bird 911";
    String instruments_0_instrument_nid "422";
    String instruments_0_supplied_name "CTD";
    String instruments_1_acronym "Fluorometer";
    String instruments_1_dataset_instrument_description "WET Labs ECO-AFL/FL";
    String instruments_1_dataset_instrument_nid "561300";
    String instruments_1_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_1_instrument_name "Fluorometer";
    String instruments_1_instrument_nid "484";
    String instruments_1_supplied_name "Fluorometer";
    String instruments_2_acronym "SBE-43 DO";
    String instruments_2_dataset_instrument_description "SBE 43 Oxygen sensor";
    String instruments_2_dataset_instrument_nid "561301";
    String instruments_2_description "The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0036/";
    String instruments_2_instrument_name "Sea-Bird SBE 43 Dissolved Oxygen Sensor";
    String instruments_2_instrument_nid "552";
    String instruments_2_supplied_name "Oxygen sensor";
    String keywords "altimetry, atten, bco, bco-dmo, beam, beam_atten, beam_trans, bin, biological, campaign, campaign_name, cast, chemical, cond, cond2, conductivity, cruise, ctd, CTD_cast, data, dataset, date, day, day_gmt, density, density_diff, depth, diff, dmo, erddap, flag, fluor, hour, hour_gmt, iso, laboratory, latitude, longitude, management, minute, minute_gmt, month, month_gmt, name, O2, O2_mg_L, O2_sat, O2_volts, oceanography, office, oxygen, preliminary, press, sal, sal2, sat, satellite, second, second_gmt, sigma, sigma_t, sonde, station, temp2, temp_diff, temperature, time, trans, volts, year";
    String license "https://www.bco-dmo.org/dataset/561249/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/561249";
    Float64 Northernmost_Northing 39.3983;
    String param_mapping "{'561249': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/561249/parameters";
    String people_0_affiliation "University of Maryland Center for Environmental Science";
    String people_0_affiliation_acronym "UMCES/HPL";
    String people_0_person_name "James J. Pierson";
    String people_0_person_nid "51109";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Yale University";
    String people_1_person_name "Mary Beth Decker";
    String people_1_person_nid "518408";
    String people_1_role "Contact";
    String people_1_role_type "related";
    String people_2_affiliation "University of Maryland Center for Environmental Science";
    String people_2_affiliation_acronym "UMCES/HPL";
    String people_2_person_name "Edward Houde";
    String people_2_person_nid "518407";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "University of Maryland Center for Environmental Science";
    String people_3_affiliation_acronym "UMCES/HPL";
    String people_3_person_name "Michael R. Roman";
    String people_3_person_nid "50513";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "University of Maryland Center for Environmental Science";
    String people_4_affiliation_acronym "UMCES/HPL";
    String people_4_person_name "Diane Stoecker";
    String people_4_person_nid "50623";
    String people_4_role "Contact";
    String people_4_role_type "related";
    String people_5_affiliation "Woods Hole Oceanographic Institution";
    String people_5_affiliation_acronym "WHOI BCO-DMO";
    String people_5_person_name "Ms Dicky Allison";
    String people_5_person_nid "50382";
    String people_5_role "BCO-DMO Data Manager";
    String people_5_role_type "related";
    String project "DeZoZoo";
    String projects_0_acronym "DeZoZoo";
    String projects_0_description 
"Description from NSF award abstract:
The occurrence of low-oxygen waters, often called \"dead zones\" in coastal ecosystems throughout the world is increasing. Despite these increases, the pelagic food-web consequences of low-oxygen waters remain poorly understood. Laboratory research has demonstrated that hypoxic water (< 2 mg l-1) can result in mortality, reduced fitness and lower egg production of planktonic copepods, a major link in food webs supporting pelagic fish. Observations in the sea indicate that hypoxic bottom waters usually have depressed abundances of copepods compared to normoxic waters (> 2 mg l-1). The gradient of declining oxygen concentration with respect to depth (oxycline) can be a critical interface in coastal pelagic ecosystems by altering the migratory behavior and depth distribution of copepods and their spatial coherence with potential predators and prey. This project will result in a mechanistic understanding of how behavior and fitness of copepods are affected by hypoxia. The PIs will compare bottom-up and top-down controls on the ecology of copepods in Chesapeake Bay waters experiencing seasonal hypoxia and those that are normoxic.
Specific objectives of this project are to:
1) analyze changes in migratory behavior and fine-scale (meter) distribution of copepods across the oxycline over hourly and diel time scales while simultaneously examining the distribution and abundance of their food (phytoplankton and microzooplankton) and predators (fish, gelatinous zooplankton);
2) estimate effects of hypoxia on the \"fitness\" of copepods using a suite of measurements (length/weight ratios, feeding, egg production, and egg hatching success) to develop condition indices of copepods captured at different times and depths in hypoxic and normoxic waters; and
3) evaluate effects of hypoxia on copepod mortality by hypoxia-induced, stage-specific copepod mortality in hypoxic bottom waters and by changes in top-down control of copepods from predation by fish and gelatinous zooplankton.
Oxyclines may be a barrier to vertical migration of copepods and thus disruptive to predator avoidance behavior. Faced with increased predation risk from fish and jellyfish, copepods may seek refuge in hypoxic waters for part of the day and/or make short-term vertical excursions between hypoxic and normoxic waters. By regulating vertical migrations, copepods may increase utilization of microzooplankton prey concentrated in the oxycline. Hypoxic waters may elevate consumption of copepods by jellyfish and depress consumption by pelagic fish. This project will evaluate copepod distribution and migration behavior, individual fitness and stage-specific mortality in hypoxic and normoxic waters. It will examine food-web consequences of increased or decreased spatial coherence of copepods and their predators and prey in regions with hypoxic bottom waters and will contribute to fundamental understanding of food-web processes in eutrophic coastal ecosystems.
Project acronym \"DeZoZoo\" = \"Dead Zone Zooplankton\"";
    String projects_0_end_date "2015-02";
    String projects_0_geolocation "Chesapeake Bay";
    String projects_0_name "Hypoxia in Marine Ecosystems: Implications for Neritic Copepods";
    String projects_0_project_nid "518411";
    String projects_0_project_website "http://www.planktoneer.com/research.html#HYPOX";
    String projects_0_start_date "2010-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.5585;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary 
"These are the processed CTD data from the DeZoZoo project taken from the
mesohaline portion of Chesapeake Bay from 37.5 - 38.5 degrees N and from 76 -
76.5 degrees West.";
    String time_coverage_end "2011-09-28T13:39:46Z";
    String time_coverage_start "2010-05-26T10:22:57Z";
    String title "Processed CTD data from six cruises of the DeZoZoo project from R/V Hugh R. Sharp in the Chesapeake Bay from 2010-2011 (DeZoZoo project)";
    String version "1";
    Float64 Westernmost_Easting -76.4343;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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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