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Dataset Title:  Concentration of anchovies from hypoxic waters of the Chesapeake Bay collected
by R/V Hugh R. Sharp (HRS100524JP, HRS100819JP, HRS100920JP, HRS110525JP,
HRS110719JP, HRS110922JP) from 2010-2011 (DeZoZoo project)
  RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_563428)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 cruiseid (text) ?              
 cruise_informal (text) ?          1001    1103
 year (time) ?          2010    2011
 month_local (time) ?          5    9
 tow (text) ?          1    12
 net (text) ?          2    6
 sample_id (text) ?              
 time_local (HH:MM) ?              
 latitude (degrees_north) ?          37.714    38.5345
  < slider >
 longitude (degrees_east) ?          -76.4188    -76.1941
  < slider >
 vol_filt (cubic meters) ?          3    98
 vol_filt2 (cubic meters) ?          30.0    98.0
 site (text) ?              
 depth_mid (Depth, m) ?          2.0    14.0
 depth_relative (Depth, text) ?              
 fish_num (number) ?          0    2128
 fish_abund (the number of individuals per cubic meter) ?          0.0    35.116
 stage (text) ?      
   - +  ?
 day_local (time) ?          21    31
 yrday_local (time) ?          148.4366    270.5457
 temp (degrees centrigrade) ?          16.647    28.4
 sal (PSU) ?          5.604    24.343
 fluor (milligrams per cubic meter) ?          0.131    8.363
 turbidity (NTU) ?          0.0    8.396
 PAR (microEinsteins per square meter per second) ?          0.0    0.11
 lat_end (Latitude, decimal degrees) ?          37.7094    38.5352
 lon_end (Longitude, decimal degrees) ?          -76.4186    -76.1942
 angle (degrees) ?          35.46    58.21
 dist (kilometers) ?          0.022    0.612
 area_net (meters square) ?          0.37    0.58
 temp_sample (unknown) ?          16.6    28.6
 sal_sample (unknown) ?          5.6    24.3
 
Server-side Functions ?
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruiseid {
    String description "official cruise name";
    String ioos_category "Unknown";
    String long_name "Cruiseid";
    String units "text";
  }
  cruise_informal {
    Int16 _FillValue 32767;
    Int16 actual_range 1001, 1103;
    String description "The Year and the cruise series. i.e. 1101 = the first cruise in 2011";
    String ioos_category "Unknown";
    String long_name "Cruise Informal";
    String units "text";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2010, 2011;
    String description "year";
    String ioos_category "Time";
    String long_name "Year";
    String units "time";
  }
  month_local {
    Byte _FillValue 127;
    Byte actual_range 5, 9;
    String description "month";
    String ioos_category "Time";
    String long_name "Month Local";
    String units "time";
  }
  tow {
    Byte _FillValue 127;
    Byte actual_range 1, 12;
    String description "MOCNESS trawl series number";
    String ioos_category "Unknown";
    String long_name "Tow";
    String units "text";
  }
  net {
    Byte _FillValue 127;
    Byte actual_range 2, 6;
    String description "net number";
    String ioos_category "Unknown";
    String long_name "Net";
    String units "text";
  }
  sample_id {
    String description "Cruise_Date(YYYMMDD)_Station(Net Tow number)";
    String ioos_category "Identifier";
    String long_name "Sample Id";
    String units "text";
  }
  time_local {
    String description "local time of day";
    String ioos_category "Time";
    String long_name "Time Local";
    String units "HH:MM";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 37.714, 38.5345;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "the latitude when a MOCNESS tow starts";
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "lat_best";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -76.4188, -76.1941;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "the longitude when a MOCNESS tow starts";
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "lon_best";
    String standard_name "longitude";
    String units "degrees_east";
  }
  vol_filt {
    Byte _FillValue 127;
    Byte actual_range 3, 98;
    String description "filtration volume";
    String ioos_category "Unknown";
    String long_name "Vol Filt";
    String units "cubic meters";
  }
  vol_filt2 {
    Float32 _FillValue NaN;
    Float32 actual_range 30.0, 98.0;
    String description "filtration volume";
    String ioos_category "Unknown";
    String long_name "Vol Filt2";
    String units "cubic meters";
  }
  site {
    String description "sampling station: north or south";
    String ioos_category "Unknown";
    String long_name "Site";
    String units "text";
  }
  depth_mid {
    Float32 _FillValue NaN;
    Float32 actual_range 2.0, 14.0;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "called the 'net depth'; the mid net depth";
    String ioos_category "Location";
    String long_name "Depth";
    String standard_name "depth";
    String units "m";
  }
  depth_relative {
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "the relative sampling depth: above = above the pycnoclines; below = below the pycnoclines";
    String ioos_category "Location";
    String long_name "Depth";
    String standard_name "depth";
    String units "text";
  }
  fish_num {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 2128;
    String description "the number of bay anchovies counted";
    String ioos_category "Unknown";
    String long_name "Fish Num";
    String units "number";
  }
  fish_abund {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 35.116;
    String description "bay anchovy concentration";
    String ioos_category "Unknown";
    String long_name "Fish Abund";
    String units "the number of individuals per cubic meter";
  }
  stage {
    String description "lifestage in the development of the bay anchovy";
    String ioos_category "Biology";
    String long_name "Stage";
    String units "text";
  }
  day_local {
    Byte _FillValue 127;
    Byte actual_range 21, 31;
    String description "day in local time";
    String ioos_category "Time";
    String long_name "Day Local";
    String units "time";
  }
  yrday_local {
    Float32 _FillValue NaN;
    Float32 actual_range 148.4366, 270.5457;
    String description "day of year in local time";
    String ioos_category "Unknown";
    String long_name "Yrday Local";
    String units "time";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 16.647, 28.4;
    String description "water temperature";
    String ioos_category "Temperature";
    String long_name "Temperature";
    String units "degrees centrigrade";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 5.604, 24.343;
    String description "water salinity; 50.000 indicates error for this channel.";
    String ioos_category "Unknown";
    String long_name "Sal";
    String units "PSU";
  }
  fluor {
    Float32 _FillValue NaN;
    Float32 actual_range 0.131, 8.363;
    String description "Chlorophyll a concentration from Wetlabs FLNTU";
    String ioos_category "Optical Properties";
    String long_name "Fluor";
    String units "milligrams per cubic meter";
  }
  turbidity {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 8.396;
    String description "turbidity measured in Nephelometric Turbidity Unites (NTU) from Wetlabs FLNTU";
    String ioos_category "Unknown";
    String long_name "Turbidity";
    String units "NTU";
  }
  PAR {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.11;
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String description "Photosynthetically available radiation";
    String ioos_category "Optical Properties";
    String long_name "Downwelling Photosynthetic Photon Radiance In Sea Water";
    String units "microEinsteins per square meter per second";
  }
  lat_end {
    Float32 _FillValue NaN;
    Float32 actual_range 37.7094, 38.5352;
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "the latitude when a MOCNESS tow ends";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "decimal degrees";
  }
  lon_end {
    Float32 _FillValue NaN;
    Float32 actual_range -76.4186, -76.1942;
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "the longitude when a MOCNESS tow ends";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  angle {
    Float32 _FillValue NaN;
    Float32 actual_range 35.46, 58.21;
    String description "MOCNESS trawl angle";
    String ioos_category "Unknown";
    String long_name "Angle";
    String units "degrees";
  }
  dist {
    Float32 _FillValue NaN;
    Float32 actual_range 0.022, 0.612;
    String description "the tow distance";
    String ioos_category "Unknown";
    String long_name "Dist";
    String units "kilometers";
  }
  area_net {
    Float32 _FillValue NaN;
    Float32 actual_range 0.37, 0.58;
    String description "the net mouth opening area";
    String ioos_category "Unknown";
    String long_name "Area Net";
    String units "meters square";
  }
  temp_sample {
    Float32 _FillValue NaN;
    Float32 actual_range 16.6, 28.6;
    String description "temp_sample";
    String ioos_category "Unknown";
    String long_name "Temp Sample";
    String units "unknown";
  }
  sal_sample {
    Float32 _FillValue NaN;
    Float32 actual_range 5.6, 24.3;
    String description "sal_sample";
    String ioos_category "Unknown";
    String long_name "Sal Sample";
    String units "unknown";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description "These data were collected with the MOCNESS system from the ship.";
    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 "Dr David  L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Chesapeake Bay Anchovy Data from MOCNESS Tows 
    J. 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 2.2d  13 Jun 2019";
    String date_created "2015-07-29T18:38:47Z";
    String date_modified "2017-08-04T23:08:18Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.687979";
    Float64 Easternmost_Easting -76.1941;
    Float64 geospatial_lat_max 38.5345;
    Float64 geospatial_lat_min 37.714;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -76.1941;
    Float64 geospatial_lon_min -76.4188;
    String geospatial_lon_units "degrees_east";
    String history 
"2019-08-24T16:04:19Z (local files)
2019-08-24T16:04:19Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_563428.html";
    String infoUrl "https://www.bco-dmo.org/dataset/563428";
    String institution "BCO-DMO";
    String instruments_0_acronym "MOC.25";
    String instruments_0_dataset_instrument_description "Had trouble communicating with the 1/4 m2 MOCNESS in the beginning of the first cruise.� Picked up replacement parts and were able to get it working again with an underwater unit borrowed from BESS, the manufacturer of� the MOCNESS system. (Subsequent analysis by BESS, Inc. showed that some damage to the underwater unit was caused when it was plugged into the sea cable with some charge still in the cable --� most likely from the Seabird deck unit still turned on.) -- from the Cruise Report";
    String instruments_0_dataset_instrument_nid "563438";
    String instruments_0_description "The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle.  The MOCNESS-1/4 carries nine 1/4-m2 nets usually of 64 micrometer mesh and is used to sample the larger micro-zooplankton.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/";
    String instruments_0_instrument_name "MOCNESS.25";
    String instruments_0_instrument_nid "436";
    String instruments_0_supplied_name "1/4 Meter MOC";
    String keywords "abund, active, altimetry, angle, area, area_net, available, bco, bco-dmo, biological, biology, chemical, cruise, cruise_informal, cruiseid, data, dataset, day, day_local, depth, depth_mid, depth_relative, dist, dmo, downwelling, downwelling_photosynthetic_photon_radiance_in_sea_water, earth, Earth Science > Oceans > Ocean Optics > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Optics > Radiance, erddap, filt, filt2, fish, fish_abund, fish_num, fluor, identifier, informal, laboratory, lat_end, latitude, local, lon_end, longitude, management, month, month_local, net, num, ocean, oceanography, oceans, office, optical, optical properties, optics, PAR, photon, photosynthetic, photosynthetically, preliminary, properties, radiance, radiation, sal, sal_sample, sample, sample_id, satellite, science, sea, seawater, site, stage, temp_sample, temperature, time, time_local, tow, turbidity, vol, vol_filt, vol_filt2, water, year, yrday, yrday_local";
    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.";
    String metadata_source "https://www.bco-dmo.org/api/dataset/563428";
    Float64 Northernmost_Northing 38.5345;
    String param_mapping "{'563428': {'lat_best': 'flag - latitude', 'lon_best': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/563428/parameters";
    String people_0_affiliation "University of Maryland Center for Environmental Science";
    String people_0_affiliation_acronym "UMCES/HPL";
    String people_0_person_name "Dr 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 "University of Maryland Center for Environmental Science";
    String people_1_affiliation_acronym "UMCES/HPL";
    String people_1_person_name "Dr Edward Houde";
    String people_1_person_nid "518407";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Ms Dicky Allison";
    String people_2_person_nid "50382";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Hypoxia in Marine Ecosystems: Implications for Neritic Copepods";
    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 "Ms Dicky Allison";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.714;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "stage";
    String summary 
"These data represent a merging of electronic data collected from the MOCNESS
sensor systems and the count data from the samples collected with the net
tows. Some nets were used for zooplankton samples (see [http://www.bco-
dmo.org/dataset/564755](\\\\https://www.bco-dmo.org/dataset/564755\\\\)) , while
others were collected specifically to estimate bay anchovy concentrations.
These are contained on different sheets, and the count data was merged
individually.\\u00a0 This dataset represents the bay anchovy counts and
abundance.";
    String title "Concentration of anchovies from hypoxic waters of the Chesapeake Bay collected by R/V Hugh R. Sharp (HRS100524JP, HRS100819JP, HRS100920JP, HRS110525JP, HRS110719JP, HRS110922JP) from 2010-2011 (DeZoZoo project)";
    String version "1";
    Float64 Westernmost_Easting -76.4188;
    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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