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Dataset Title:  [Symbiodinium genotype responses to temperature] - Traits of three
Symbiodinium genotypes measured at ambient and elevated temperatures (RUI:
Collaborative Research: Genetic variation as a driver of host and symbiont
response to increased temperature on coral reefs)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_738212)
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 {
  Genotype {
    String bcodmo_name "sample";
    String description "Genetic idenetifier";
    String long_name "Genotype";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Temp {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 26, 30;
    String bcodmo_name "temperature";
    String description "Temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  Replicate {
    String bcodmo_name "replicate";
    String description "Replicate identifier, designated as 'a' through 'e'.";
    String long_name "Replicate";
    String units "unitless";
  }
  NumberCells {
    Int32 _FillValue 2147483647;
    Int32 actual_range 2949167, 10500000;
    String bcodmo_name "cell_concentration";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Number of cells per mL";
    String long_name "Number Cells";
    String units "number cells/milliliter (#/mL)";
  }
  QY {
    Float32 _FillValue NaN;
    Float32 actual_range 0.17, 0.435;
    String bcodmo_name "Fv2Fm";
    String description "Quantum Yield";
    String long_name "QY";
    String units "unitless ratio";
  }
  Vfl {
    Float32 _FillValue NaN;
    Float32 actual_range 10123.5, 20346.25;
    String bcodmo_name "Fv2Fm";
    String description "Variable Fluorescence";
    String long_name "VFL";
    String units "unitless";
  }
  Chla {
    Float64 _FillValue NaN;
    Float64 actual_range 762620.5, 5026724.0;
    String bcodmo_name "chlorophyll a";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "Total Chlorophyll per sample";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "Relative Fluorescence Units";
  }
  Chlapercell {
    Float64 _FillValue NaN;
    Float64 actual_range 0.099170416, 0.806857785;
    String bcodmo_name "chlorophyll a";
    String description "Chlorophyll per cell";
    String long_name "Chlapercell";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "Relative Fluorescence Units";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Replicates of each Symbiodinium genotype were grown in ambient (26 degrees)
and elevated (30 degrees) temperatures, after which were measured
physiological parameters, including the number of cells, quantum yield,
variable fluorescence, and chlorophyll content.";
    String awards_0_award_nid "632537";
    String awards_0_award_number "OCE-1559105";
    String awards_0_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1559105";
    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 
"Genotype Responses to Temperature 
   Traits of three genotypes measured at ambient and elevated temperatures 
   PI: C. terHorst (CSU-Northridge), M.A. Coffroth (SUNY-Buffalo) 
   version: 2018-05-23";
    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 "2018-06-06T20:27:39Z";
    String date_modified "2019-10-02T20:59:43Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.738212.1";
    String history 
"2024-11-14T02:57:19Z (local files)
2024-11-14T02:57:19Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_738212.das";
    String infoUrl "https://www.bco-dmo.org/dataset/738212";
    String institution "BCO-DMO";
    String instruments_0_acronym "Fluorometer";
    String instruments_0_dataset_instrument_nid "738246";
    String instruments_0_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_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_0_instrument_name "Fluorometer";
    String instruments_0_instrument_nid "484";
    String instruments_0_supplied_name "Trilogy Laboratory Fluorometer";
    String keywords "bco, bco-dmo, biological, cells, chemical, chemistry, Chla, chlapercell, chlorophyll, chlorophyll-a, concentration, concentration_of_chlorophyll_in_sea_water, data, dataset, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, erddap, genotype, management, number, NumberCells, ocean, oceanography, oceans, office, preliminary, replicate, science, sea, seawater, Temp, temperature, vfl, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/738212/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/738212";
    String param_mapping "{'738212': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/738212/parameters";
    String people_0_affiliation "California State University Northridge";
    String people_0_affiliation_acronym "CSU-Northridge";
    String people_0_person_name "Casey terHorst";
    String people_0_person_nid "632541";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "State University of New York at Buffalo";
    String people_1_affiliation_acronym "SUNY Buffalo";
    String people_1_person_name "Mary Alice Coffroth";
    String people_1_person_nid "472488";
    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 "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Host Symbiont Temp Response";
    String projects_0_acronym "Host Symbiont Temp Response";
    String projects_0_description 
"Description from NSF award abstract:
On coral reefs, mutualisms with single celled algae (Symbiodinium) and reef species literally and figuratively form the foundation of reef ecosystems. Coral reefs are among the most threatened ecosystems under a changing climate and are rapidly declining due to increasing levels of environmental stress, namely increased temperatures. Climate change is resulting in even warmer ocean temperatures that threaten associations between Symbiodinium and their hosts. In this project the investigators examine the genetic diversity of Symbiodinium and the potential for this important species to evolve in response to temperature. The project will also address whether the ecological and evolutionary dynamics of the Symbiodinium population affect the performance of their host. If so, this suggests that the evolution of microscopic organisms with short generation times could confer adaptation to longer-lived host species on ecologically and economically vital coral reefs. Given that diversity is already being lost on many reefs, considering how evolutionary changes in Symbiodinium will affect reef species is crucial for predicting the responses of reefs to future climate change. This project provides training for two graduate students and several undergraduates at a Hispanic-serving institution. This work includes outreach to the students and the general public through the Aquarium of Niagara, local K-12 schools, and web-based education modules.
The effects of evolution on contemporary ecological processes are at the forefront of research in evolutionary ecology. This project will answer the call for experiments elucidating the effects of genetic variation in Symbiodinium performance and the effect on the response of the holobiont (host and symbiont) to increased temperature. These experiments examine the effects of temperature through both ecological and evolutionary mechanisms and will determine the relative importance of adaptation and acclimatization in replicated experimental populations. The investigators will examine how genetic variation within a species (Symbiodinium antillogorgium) affects symbiont performance in culture and in the host and how this affects the response of the holobiont to increased temperature. Further, the project examines whether holobiont response to increased temperature associated with climate change depends on particular GxG host-symbiont combinations. Moreover, the investigators will examine the effects of symbiont history on mutualist hosts, which have been largely ignored in eco-evolutionary studies. These experiments provide a first step in predicting whether invertebrate hosts on coral reefs will respond to global change via adaptation of their symbionts.";
    String projects_0_end_date "2020-03";
    String projects_0_geolocation "Florida Keys, Caribbean";
    String projects_0_name "RUI: Collaborative Research: Genetic variation as a driver of host and symbiont response to increased temperature on coral reefs";
    String projects_0_project_nid "632538";
    String projects_0_start_date "2016-04";
    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 "Traits of three genotypes measured at ambient and elevated temperatures. Replicates of each Symbiodinium genotype were grown in ambient (26 degrees) and elevated (30 degrees) temperatures, after which were measured physiological parameters, including the number of cells, quantum yield, variable fluorescence, and chlorophyll content.";
    String title "[Symbiodinium genotype responses to temperature] - Traits of three Symbiodinium genotypes measured at ambient and elevated temperatures (RUI: Collaborative Research: Genetic variation as a driver of host and symbiont response to increased temperature on coral reefs)";
    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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