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Dataset Title:  PUA (polyunsaturated aldehydes) experiments: Experimental Conditions, Virginia
Coastal Bays and Bay of Napoli, Mar-July 2015
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_773979)
Range: longitude = -75.9866 to 14.25°E, latitude = 37.1656 to 40.808°N
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 {
  Experiment {
    String bcodmo_name "exp_id";
    String description "Name of the Experiment";
    String long_name "Experiment";
    String units "unitless";
  }
  Location {
    String bcodmo_name "site";
    String description "Name of the Location";
    String long_name "Location";
    String units "unitless";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -75.9866, 14.25;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude; east is positive";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 37.1656, 40.808;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude; north is positive";
    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";
  }
  Date {
    String bcodmo_name "date_local";
    String description "Local date; formatted as yyyy-mm-dd";
    String long_name "Date";
    String source_name "Date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  Temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 6.7, 23.5;
    String bcodmo_name "temperature";
    String description "Water Temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  Salinity {
    Float32 _FillValue NaN;
    Float32 actual_range 24.9, 37.4;
    String bcodmo_name "sal";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Water Salinity";
    String long_name "Sea Water Practical Salinity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  Light_Dark_Cycle {
    String bcodmo_name "unknown";
    String description "Light:Dark Cycle used for the experiments (hours:hours)";
    String long_name "Light Dark Cycle";
    String units "unitless";
  }
  Medium {
    String bcodmo_name "unknown";
    String description "Type of medium used for added for nutrients in experiments";
    String long_name "Medium";
    String units "unitless";
  }
  Copepod_spp {
    String bcodmo_name "taxon";
    String description "Copepod species used for the experiments";
    String long_name "Copepod Spp";
    String units "unitless";
  }
  Number_Copepods {
    Byte _FillValue 127;
    Byte actual_range 7, 15;
    String bcodmo_name "count";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Number of copepods added to each zooplankton treatment jar for each experiment";
    String long_name "Number Copepods";
    String units "copepods";
  }
  Bacteria {
    Float32 _FillValue NaN;
    Float32 actual_range 119000.0, 2400000.0;
    String bcodmo_name "cell_concentration";
    String description "Mean initial bacteria concentrations from experiments";
    String long_name "Bacteria";
    String units "cells per ml";
  }
  Chl_a {
    String bcodmo_name "chlorophyll a";
    String description "Mean initial Chlorophyll a concentrations";
    String long_name "Chl A";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "micrograms/liter";
  }
  Dinoflag {
    String bcodmo_name "dino_het_C";
    String description "Mean initial Dinoflagellate biomass concentrations";
    String long_name "Dinoflag";
    String units "micrograms Carbon/liter";
  }
  Ciliate {
    String bcodmo_name "ciliates_C";
    String description "Mean initial Ciliate biomass concentrations";
    String long_name "Ciliate";
    String units "micrograms Carbon/liter";
  }
  HepD {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0061, 0.01;
    String bcodmo_name "unknown";
    String description "Mean initial Dissolved Heptadienal concentrations";
    String long_name "Hep D";
    String units "nanoMolar";
  }
  HepP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.014, 0.0207;
    String bcodmo_name "unknown";
    String description "Mean initial Particulate Heptadienal concentrations";
    String long_name "Hep P";
    String units "nanoMolar";
  }
  OctD {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0043, 0.0108;
    String bcodmo_name "unknown";
    String description "Mean initial Dissolved Octadienal concentrations";
    String long_name "Oct D";
    String units "nanoMolar";
  }
  OctP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0082, 0.0112;
    String bcodmo_name "unknown";
    String description "Mean initial particulate octadienal concentrations";
    String long_name "Oct P";
    String units "nanoMolar";
  }
  DecD {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0081, 0.0173;
    String bcodmo_name "unknown";
    String description "Mean initial Dissolved decadienal concentrations";
    String long_name "Dec D";
    String units "nanoMolar";
  }
  DecP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0071, 0.013;
    String bcodmo_name "unknown";
    String description "Mean initial Particulate decadienal concentrations";
    String long_name "Dec P";
    String units "nanoMolar";
  }
  Tot {
    Float32 _FillValue NaN;
    Float32 actual_range 0.049, 0.0743;
    String bcodmo_name "unknown";
    String description "Total mean initial PUA concentrations";
    String long_name "Tot";
    String units "nanoMolar";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Data for experimental conditions were collected from the station locations
where water and zooplankton were collected. Temperature and salinity were
determined using a YSI ProDO2020.
 
Laboratory experiments were conducted by collecting raw seawater, filtering it
through 200\\u00b5m mesh sieves into 20L carboys, and then dispensing it into
experimental jars. Triplicates bottles were used for each treatment.
Treatments included whole seawater (control), whole seawater plus copepods
(Zooplankton), and the same treatments plus polyunsaturated aldehydes (PUA)
additions (Heptadienal, Octadienal, Decadienal, and Mixed PUA). PUA were
dissolved in methanol and added to experimental bottles for a final
concentration of 21 nM; for the mixed PUA treatment this was 7nM of each type
of PUA. In addition, nutrients were added to all experimental bottles in the
form of phytoplankton growth media, to ensure that autotroph growth was not
limited by available nutrients in the experimental bottles.
 
Samples for PUA analysis were collected and processed according to the
procedures described in Lavrentyev et al. 2015 & Franz\\u00e9 et al. 2018.
These samples were then frozen and shipped to Texas for analysis.
 
All data were processed in Microsoft Excel.";
    String awards_0_award_nid "555555";
    String awards_0_award_number "OCE-1357168";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1357168";
    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 "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String awards_1_award_nid "555561";
    String awards_1_award_number "OCE-1357169";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1357169";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Michael E. Sieracki";
    String awards_1_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"PUA (polyunsaturated aldehydes) experiments: Experimental Conditions 
   Virginia Coastal Bays and Bay of Napoli, Mar-July 2015 
   PI's: P. Lavrentyev (U Akron), J. Pierson & D. Stoeker (UMaryland CES) 
   version date: 2019-07-31";
    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 "2019-07-31T19:36:16Z";
    String date_modified "2019-10-07T20:52:22Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.773979.1";
    Float64 Easternmost_Easting 14.25;
    Float64 geospatial_lat_max 40.808;
    Float64 geospatial_lat_min 37.1656;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 14.25;
    Float64 geospatial_lon_min -75.9866;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-08-11T13:51:57Z (local files)
2020-08-11T13:51:57Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_773979.das";
    String infoUrl "https://www.bco-dmo.org/dataset/773979";
    String institution "BCO-DMO";
    String instruments_0_acronym "Water Temp Sensor";
    String instruments_0_dataset_instrument_description "Used to measure temperature and salinity at stations.";
    String instruments_0_dataset_instrument_nid "773990";
    String instruments_0_description "General term for an instrument that measures the temperature of the water with which it is in contact (thermometer).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/134/";
    String instruments_0_instrument_name "Water Temperature Sensor";
    String instruments_0_instrument_nid "647";
    String instruments_0_supplied_name "YSI ProDO2020";
    String keywords "bacteria, bco, bco-dmo, biological, chemical, chl, Chl_a, chlorophyll, ciliate, copepod, Copepod_spp, copepods, cycle, dark, data, dataset, date, DecD, DecP, density, dinoflag, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, experiment, hep, HepD, HepP, latitude, light, Light_Dark_Cycle, Location, longitude, management, medium, number, Number_Copepods, ocean, oceanography, oceans, OctD, OctP, office, practical, preliminary, salinity, science, sea, sea_water_practical_salinity, seawater, spp, temperature, time, tot, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/773979/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/773979";
    Float64 Northernmost_Northing 40.808;
    String param_mapping "{'773979': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/773979/parameters";
    String people_0_affiliation "University of Akron";
    String people_0_affiliation_acronym "UAkron";
    String people_0_person_name "Dr Peter Lavrentyev";
    String people_0_person_nid "555559";
    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 "James J. Pierson";
    String people_1_person_nid "51109";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Maryland Center for Environmental Science";
    String people_2_affiliation_acronym "UMCES/HPL";
    String people_2_person_name "Diane Stoecker";
    String people_2_person_nid "50623";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Nancy Copley";
    String people_3_person_nid "50396";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "DiatomAldehydes";
    String projects_0_acronym "DiatomAldehydes";
    String projects_0_description 
"Description from NSF award abstract:
This project will conduct a set of field/laboratory experiments to address the following hypotheses with respect to microzooplankton (consumers between 20-200 um) and diatom- produced polyunsaturated aldehydes:
I. Aldehydes will impair microzooplankton herbivory on diatoms and non-diatom phytoplankton.
II. Aldehydes will reduce the growth rates of microzooplankton and non PUA-producing phytoplankton.
III. In the presence of aldehyde-producing diatoms, copepods will switch to microzooplankton, whereas non- (mildly)- toxic diatoms will be an important food source for copepods.
IV. The effects of aldehydes on microzooplankton and copepods will depend on the grazers' prior exposure to PUA.
The experiments will include natural plankton, captured copepods, cultured Skeletonema marinoi (SM), including its aldehyde-producing strain, and synthetic aldehydes. To gain insights into complex interactions within planktonic communities, detailed information on their composition, abundance, and dynamics will be obtained using microscopy, flow-cytometry, and cytological methods. This approach will allow the PIs to draw conclusions about the role of diatom-produced aldehydes in phytoplankton-microzooplankton- copepod trophic interactions. The PIs will coordinate efforts and exchange information with the PUA study group at the Stazione Zoologica Anton Dohrn (Naples, Italy).
Diatoms are dominant autotrophic plankton in the ocean. Recent evidence indicates that microzooplankton are the dominant herbivores, whereas copepods often rely on microzooplankton as food, except during peak diatom production. The ability of microzooplankton to feed on large diatoms and grow as fast as their algal prey leads to the question of what allows diatoms to escape microzooplankton grazing control during the initial phases of their blooms and maintain the blooms until nutrient resources are depleted? Allelopathy is wide spread among phytoplankton. The cosmopolitan bloom-forming SM produces several aldehydes and has become a model organism in plankton allelopathy studies. Most studies on diatom cytotoxicity have been dedicated to inhibitory effects on reproduction and development of marine invertebrates, whereas surprisingly little information exists on its impact on key diatom grazers, microzooplankton. Preliminary results in the Chesapeake Bay show that aldehydes may induce cascading effects within planktonic communities. The proposed study will: (1) Improve our knowledge of the critical diatom-microzooplankton-copepod links in the coastal ocean; (2) Generate novel data on the effects of allelopathy on marine food webs; (3) Contribute to our understanding of broader patterns of marine ecosystems by comparing plankton structure and dynamics in the temperate Atlantic waters; (4) Advance biological oceanography through international collaboration.";
    String projects_0_end_date "2017-03";
    String projects_0_name "The effects of diatom-produced polyunsaturated aldehydes on the microbial food web in temperate and polar waters";
    String projects_0_project_nid "555556";
    String projects_0_start_date "2014-04";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.1656;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "PUA (polyunsaturated aldehydes) experiments: Experimental Conditions, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015";
    String title "PUA (polyunsaturated aldehydes) experiments: Experimental Conditions, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015";
    String version "1";
    Float64 Westernmost_Easting -75.9866;
    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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