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Dataset Title:  Microzooplankton biomass estimates from PUA (polyunsaturated aldehydes)
experiments, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_774033)
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";
  }
  Bottle_ID {
    String bcodmo_name "sample";
    String description "ID name for a given treatment including both treatment and replicate tags";
    String long_name "Bottle ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Treatment {
    String bcodmo_name "treatment";
    String description "Treatment name";
    String long_name "Treatment";
    String units "unitless";
  }
  Rep {
    Byte _FillValue 127;
    Byte actual_range 1, 3;
    String bcodmo_name "replicate";
    String description "Replicate";
    String long_name "Rep";
    String units "unitless";
  }
  Taxa {
    String bcodmo_name "taxon";
    String description "Taxonomic name of microzooplankton type identified";
    String long_name "Taxa";
    String units "unitless";
  }
  Phylum {
    String bcodmo_name "phylum";
    String description "Phylum name for the taxa identified";
    String long_name "Phylum";
    String units "unitless";
  }
  ESD {
    Byte _FillValue 127;
    Byte actual_range 9, 58;
    String bcodmo_name "cell_size";
    String description "Mean size of the taxa; given as equivalent spherical diameter (ESD)";
    String long_name "ESD";
    String units "micrometers";
  }
  Biomass {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0033, 100.9486;
    String bcodmo_name "biomass";
    String description "Biomass of the given taxa";
    String long_name "Biomass";
    String units "micrograms carbon/liter";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"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 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.
 
Initial samples were collected from the carboy for microzooplankton as
described below. Final samples were collected from each treatment and control
bottle as described below.
 
Microzooplankton samples were collected by gently decanting 100ml of each
treatment bottle into a sample bottle and preserved with 2% acid Lugol\\u2019s
solution (final concentration). Identification and sorting of microzooplankton
was done by settling 10-25 ml of sample in Uterm\\u00f6hl chambers and counting
with an Olympus IX-70 inverted microscope equipped with differential
interference contrast (DIC), epifluorescence, and a digital camera.
Microzooplankton biovolumes were calculated from their dimensions and
approximate shapes (Sun and Liu 2003), and converted to carbon using published
empirical relationships (Menden-Deuer and Lessard 2000). Tintinnid volumes
were calculated based on their cell dimensions.
 
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: Microzooplankton Biomass 
   Virginia Coastal Bays and Bay of Napoli, Mar-July 2015 
   PI's: P. Lavrentyev (U Akron), J. Pierson & D. Stoeker (UMaryland CES) 
   version date: 2019-09-30";
    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 "2019-08-01T15:21:48Z";
    String date_modified "2019-10-07T20:53:53Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.774033.1";
    String history 
"2024-04-23T17:34:30Z (local files)
2024-04-23T17:34:30Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_774033.das";
    String infoUrl "https://www.bco-dmo.org/dataset/774033";
    String institution "BCO-DMO";
    String instruments_0_acronym "Inverted Microscope";
    String instruments_0_dataset_instrument_description "The microscope was equipped with differential interference contrast (DIC), epifluorescence, and a digital camera. Biomass estimates for microzooplankton were determined after counting cells on an inverted microscope and converting volume estimates, from measurements with a reticle in the objective lens, to carbon concentrations using known conversion factors.";
    String instruments_0_dataset_instrument_nid "774048";
    String instruments_0_description 
"An inverted microscope is a microscope with its light source and condenser on the top, above the stage pointing down, while the objectives and turret are below the stage pointing up. It was invented in 1850 by J. Lawrence Smith, a faculty member of Tulane University (then named the Medical College of Louisiana).

Inverted microscopes are useful for observing living cells or organisms at the bottom of a large container (e.g. a tissue culture flask) under more natural conditions than on a glass slide, as is the case with a conventional microscope. Inverted microscopes are also used in micromanipulation applications where space above the specimen is required for manipulator mechanisms and the microtools they hold, and in metallurgical applications where polished samples can be placed on top of the stage and viewed from underneath using reflecting objectives.

The stage on an inverted microscope is usually fixed, and focus is adjusted by moving the objective lens along a vertical axis to bring it closer to or further from the specimen. The focus mechanism typically has a dual concentric knob for coarse and fine adjustment. Depending on the size of the microscope, four to six objective lenses of different magnifications may be fitted to a rotating turret known as a nosepiece. These microscopes may also be fitted with accessories for fitting still and video cameras, fluorescence illumination, confocal scanning and many other applications.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB05/";
    String instruments_0_instrument_name "Inverted Microscope";
    String instruments_0_instrument_nid "675";
    String instruments_0_supplied_name "Olympus IX-70 inverted microscope";
    String keywords "bco, bco-dmo, biological, biomass, bottle, Bottle_ID, chemical, data, dataset, dmo, erddap, esd, experiment, management, oceanography, office, phylum, preliminary, rep, taxa, treatment";
    String license "https://www.bco-dmo.org/dataset/774033/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/774033";
    String param_mapping "{'774033': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/774033/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)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Microzooplankton biomass estimates from PUA (polyunsaturated aldehydes) experiments, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015.";
    String title "Microzooplankton biomass estimates from PUA (polyunsaturated aldehydes) experiments, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015";
    String version "1";
    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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