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Dataset Title:	[Zooplankton from hypoxic waters of Chesapeake Bay] - Concentration of zooplankton, in particular copepods, from hypoxic waters collected by R/V Hugh R. Sharp cruises (HRS100524JP, HRS100819JP, HRS100920JP, HRS110525JP, HRS110719JP, HRS110922JP) in the Chesapeake Bay from 2010-2011 (DeZoZoo project) (Hypoxia in Marine Ecosystems: Implications for Neritic Copepods)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_564755)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
cruiseid (text)	!= =~ <= >= = < >		!= =~ <= >= = < >		"HRS100524JP"	"HRS110922JP"
cruise_informal (text)	!= =~ <= >= = < >		!= =~ <= >= = < >		1001	1103
year (time)	!= =~ <= >= = < >		!= =~ <= >= = < >		2010	2011
month_local (time)	!= =~ <= >= = < >		!= =~ <= >= = < >		5	9
tow (text)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	12
day_local (time)	!= =~ <= >= = < >		!= =~ <= >= = < >		21	31
net (text)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	5
gear (text)	!= =~ <= >= = < >		!= =~ <= >= = < >		"MN"	"Tucker"
time_local (HH:MM)	!= =~ <= >= = < >		!= =~ <= >= = < >		"00:24"	"NaN"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		37.714	38.541
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-76.423	-76.194
yrday_local (time)	!= =~ <= >= = < >		!= =~ <= >= = < >		148.273	270.543
vol_filt (cubic meters)	!= =~ <= >= = < >		!= =~ <= >= = < >		19	95
temp (degrees centrigrade)	!= =~ <= >= = < >		!= =~ <= >= = < >		16.515	29.352
sal (PSU)	!= =~ <= >= = < >		!= =~ <= >= = < >		5.455	24.04
O2_mg_L (milligrams per liter)	!= =~ <= >= = < >		!= =~ <= >= = < >		-1.58	12.571
fluor (milligrams per cubic meter)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.13	13.612
turbidity (NTU)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	7.422
PAR (microEinsteins per square meter per second)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.15437
lat_end (Latitude, decimal degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		37.714	38.54
lon_end (Longitude, decimal degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		-76.422	-76.194
low_depth_best (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		3	20
depth (High Depth Best, m)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	15.0
angle (degrees)	!= =~ <= >= = < >		!= =~ <= >= = < >		33.14	59.29
dist (kilometers)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	0.548
area_net (meters square)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.36	0.59
site (text)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1"	"S6"
splits (number)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	7
dilution (ml)	!= =~ <= >= = < >		!= =~ <= >= = < >		10	1000
subsample_size (ml)	!= =~ <= >= = < >		!= =~ <= >= = < >		5	500
genus (text)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Acartia"	"UID2"
species (text)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Amphipod"	"turbinata"
stage (text)	!= =~ <= >= = < >		!= =~ <= >= = < >		"Adult"	"pre-settle_larv"
count_subsample (number)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	6040
abund_m3 (number)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	40358
abund_m2 (number)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	168533

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" cruiseid cruise_informal year month_local tow day_local net gear time_local latitude longitude yrday_local vol_filt temp sal O2_mg_L fluor turbidity PAR lat_end lon_end low_depth_best depth angle dist area_net site splits dilution subsample_size genus species stage count_subsample abund_m3 abund_m2 cruiseid cruise_informal year month_local tow day_local net gear time_local latitude longitude yrday_local vol_filt temp sal O2_mg_L fluor turbidity PAR lat_end lon_end low_depth_best depth angle dist area_net site splits dilution subsample_size genus species stage count_subsample abund_m3 abund_m2 cruiseid cruise_informal year month_local tow day_local net gear time_local latitude longitude yrday_local vol_filt temp sal O2_mg_L fluor turbidity PAR lat_end lon_end low_depth_best depth angle dist area_net site splits dilution subsample_size genus species stage count_subsample abund_m3 abund_m2 cruiseid cruise_informal year month_local tow day_local net gear time_local latitude longitude yrday_local vol_filt temp sal O2_mg_L fluor turbidity PAR lat_end lon_end low_depth_best depth angle dist area_net site splits dilution subsample_size genus species stage count_subsample abund_m3 abund_m2 cruiseid cruise_informal year month_local tow day_local net gear time_local latitude longitude yrday_local vol_filt temp sal O2_mg_L fluor turbidity PAR lat_end lon_end low_depth_best depth angle dist area_net site splits dilution subsample_size genus species stage count_subsample abund_m3 abund_m2 ")

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---

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruiseid {
    String bcodmo_name "cruise_id";
    String description "official cruise name";
    String long_name "Cruiseid";
    String units "text";
  }
  cruise_informal {
    Int16 _FillValue 32767;
    Int16 actual_range 1001, 1103;
    String bcodmo_name "cruise_id";
    String description "The Year and the cruise series. i.e. 1101 = the first cruise in 2011";
    String long_name "Cruise Informal";
    String units "text";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2010, 2011;
    String bcodmo_name "year";
    String description "year";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "time";
  }
  month_local {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 5, 9;
    String bcodmo_name "month_local";
    String description "month";
    String long_name "Month Local";
    String units "time";
  }
  tow {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 12;
    String bcodmo_name "tow";
    String description "MOCNESS trawl series number";
    String long_name "Tow";
    String units "text";
  }
  day_local {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 21, 31;
    String bcodmo_name "day_local";
    String description "day in local time";
    String long_name "Day Local";
    String units "time";
  }
  net {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 5;
    String bcodmo_name "net";
    String description "net number";
    String long_name "Net";
    String units "text";
  }
  gear {
    String bcodmo_name "instrument";
    String description "the sampling gear";
    String long_name "Gear";
    String units "text";
  }
  time_local {
    String bcodmo_name "time";
    String description "local time of day";
    String long_name "Time Local";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "HH:MM";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 37.714, 38.541;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "the latitude when a MOCNESS tow starts; considered the best latitude by the PI";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "lat_best";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -76.423, -76.194;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "the longitude when a MOCNESS tow starts; considered the best longitude by the PI";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "lon_best";
    String standard_name "longitude";
    String units "degrees_east";
  }
  yrday_local {
    Float32 _FillValue NaN;
    Float32 actual_range 148.273, 270.543;
    String bcodmo_name "yrday_local";
    String description "day of year in local time";
    String long_name "Yrday Local";
    String units "time";
  }
  vol_filt {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 19, 95;
    String bcodmo_name "vol_filt";
    String description "filtration volume, i.e the volume of water flowing through the net";
    String long_name "Vol Filt";
    String units "cubic meters";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 16.515, 29.352;
    String bcodmo_name "temperature";
    String description "water temperature";
    String long_name "Temperature";
    String units "degrees centrigrade";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 5.455, 24.04;
    String bcodmo_name "sal";
    String description "water salinity";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  O2_mg_L {
    Float32 _FillValue NaN;
    Float32 actual_range -1.58, 12.571;
    String bcodmo_name "Dissolved_Oxygen";
    String description "dissolved Oxygen";
    String long_name "O2 Mg L";
    String units "milligrams per liter";
  }
  fluor {
    Float32 _FillValue NaN;
    Float32 actual_range 0.13, 13.612;
    String bcodmo_name "fluorescence";
    String description "Chlorophyll a concentration from Wetlabs FLNTU";
    String long_name "Fluor";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "milligrams per cubic meter";
  }
  turbidity {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 7.422;
    String bcodmo_name "turbidity";
    String description "turbidity measured in Nephelometric Turbidity Unites (NTU) from Wetlabs FLNTU";
    String long_name "Turbidity";
    String units "NTU";
  }
  PAR {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.15437;
    String bcodmo_name "PAR";
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum 0.0;
    String description "Photosynthetically available radiation";
    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 37.714, 38.54;
    String bcodmo_name "lat_end";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "the latitude when a MOCNESS tow ends";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "decimal degrees";
  }
  lon_end {
    Float32 _FillValue NaN;
    Float32 actual_range -76.422, -76.194;
    String bcodmo_name "lon_end";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "the longitude when a MOCNESS tow ends";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  low_depth_best {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 3, 20;
    String bcodmo_name "depth";
    String description "the surface depth of a net trawl; considered the best depth by the PI";
    String long_name "Low Depth Best";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String units "m";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 15.0;
    String axis "Z";
    String bcodmo_name "depth";
    String description "the bottom depth of a net trawl; considered the best depth by the PI";
    String ioos_category "Location";
    String long_name "High Depth Best";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  angle {
    Float32 _FillValue NaN;
    Float32 actual_range 33.14, 59.29;
    String bcodmo_name "angle";
    String description "MOCNESS trawl angle";
    String long_name "Angle";
    String units "degrees";
  }
  dist {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.548;
    String bcodmo_name "unknown";
    String description "the tow distance";
    String long_name "Dist";
    String units "kilometers";
  }
  area_net {
    Float32 _FillValue NaN;
    Float32 actual_range 0.36, 0.59;
    String bcodmo_name "unknown";
    String description "the net mouth opening area";
    String long_name "Area Net";
    String units "meters square";
  }
  site {
    String bcodmo_name "site";
    String description "sampling station: north or south";
    String long_name "Site";
    String units "text";
  }
  splits {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 7;
    String bcodmo_name "unknown";
    String description "the number of times the sample is split in half";
    String long_name "Splits";
    String units "number";
  }
  dilution {
    Int16 _FillValue 32767;
    Int16 actual_range 10, 1000;
    String bcodmo_name "dilution";
    String description "the dilution volume of a split sample";
    String long_name "Dilution";
    String units "ml";
  }
  subsample_size {
    Int16 _FillValue 32767;
    Int16 actual_range 5, 500;
    String bcodmo_name "sample_volume";
    String description "the subsample volume from a diluted sample";
    String long_name "Subsample Size";
    String units "ml";
  }
  genus {
    String bcodmo_name "genus";
    String description "the genus name";
    String long_name "Genus";
    String units "text";
  }
  species {
    String bcodmo_name "species";
    String description "the species name";
    String long_name "Species";
    String units "text";
  }
  stage {
    String bcodmo_name "stage";
    String description "the copepod stages: nauplii (N1-N6); copepodite (C1-C5); adult (Female or Male)";
    String long_name "Stage";
    String units "text";
  }
  count_subsample {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 6040;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "the counted numbers in a subsample";
    String long_name "Count Subsample";
    String units "number";
  }
  abund_m3 {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 40358;
    String bcodmo_name "abundance";
    String description "number of individuals per cubic meter sampled";
    String long_name "Abund M3";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "number";
  }
  abund_m2 {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 168533;
    String bcodmo_name "abundance";
    String description "integrated abundance; number of individuals in a square meter";
    String long_name "Abund M2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "number";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description "\"\"";
    String awards_0_award_nid "518410";
    String awards_0_award_number "OCE-0961924";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0961924";
    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 
"Chesapeake Bay Copepod 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 2.3  19 Dec 2019";
    String date_created "2015-08-26T14:31:30Z";
    String date_modified "2017-08-04T23:15:16Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.687996";
    Float64 Easternmost_Easting -76.194;
    Float64 geospatial_lat_max 38.541;
    Float64 geospatial_lat_min 37.714;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -76.194;
    Float64 geospatial_lon_min -76.423;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 15.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T16:57:16Z (local files)
2024-11-23T16:57:16Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_564755.html";
    String infoUrl "https://www.bco-dmo.org/dataset/564755";
    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 "564764";
    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 instruments_1_acronym "Tucker Trawl";
    String instruments_1_dataset_instrument_description "1 m2 Tucker Trawl fitted with 280 um mesh.";
    String instruments_1_dataset_instrument_nid "564765";
    String instruments_1_description "The original Tucker Trawl, a net with a rectangular mouth opening first built in 1951 by G.H. Tucker, was not an opening/closing system, but shortly thereafter it was modified so that it could be opened and closed.  The original had a 183 cm by 183 cm flexible rectangular mouth opening 914 cm long net with 1.8 cm stretched mesh for the first 457 cm and 1.3 cm mesh for last 457 cm. 152 cm of coarse plankton or muslin netting lined the end of the net. Tucker designed the net to collect animals associated with the deep scattering layers, principally euphausiids, siphonophores, and midwater fish. (from Wiebe and Benfield, 2003). Currently used Tucker Trawls usually have 1-m2 openings and can have a single net or multiple nets on the frame.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0161/";
    String instruments_1_instrument_name "Tucker Trawl";
    String instruments_1_instrument_nid "450";
    String instruments_1_supplied_name "Tucker Trawl";
    String keywords "abund, abund_m2, abund_m3, active, altimetry, angle, area, area_net, available, bco, bco-dmo, best, biological, chemical, count, count_subsample, cruise, cruise_informal, cruiseid, data, dataset, day, day_local, depth, dilution, 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, fluor, gear, genus, high, high_depth_best, informal, laboratory, lat_end, latitude, local, lon_end, longitude, low, low_depth_best, management, month, month_local, net, O2, O2_mg_L, ocean, oceanography, oceans, office, optics, oxygen, PAR, photon, photosynthetic, photosynthetically, preliminary, radiance, radiation, sal, satellite, science, sea, seawater, site, size, species, splits, stage, subsample, subsample_size, temperature, time, time_local, tow, turbidity, vol, vol_filt, water, year, yrday, yrday_local";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/564755/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/564755";
    Float64 Northernmost_Northing 38.541;
    String param_mapping "{'564755': {'high_depth_best': 'flag - depth', 'lat_best': 'flag - latitude', 'lon_best': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/564755/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 "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Ms Dicky Allison";
    String people_1_person_nid "50382";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_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 37.714;
    String standard_name_vocabulary "CF Standard Name Table v55";
    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, while others were collected
specifically to estimate bay anchovy concentrations. (See associated dataset:[
https://www.bco-dmo.org/dataset/563428](\\\\http://www.bco-
dmo.org/dataset/563428\\\\).) These are contained on different sheets, and the
count data was merged individually.";
    String title "[Zooplankton from hypoxic waters of Chesapeake Bay] - Concentration of zooplankton, in particular copepods, from hypoxic waters collected by R/V Hugh R. Sharp cruises (HRS100524JP, HRS100819JP, HRS100920JP, HRS110525JP, HRS110719JP, HRS110922JP) in the Chesapeake Bay from 2010-2011 (DeZoZoo project) (Hypoxia in Marine Ecosystems: Implications for Neritic Copepods)";
    String version "1";
    Float64 Westernmost_Easting -76.423;
    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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ERDDAP, Version 2.22
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