Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | [Symbiodinium genotype responses to Nitrogen] - Traits of five Symbiodinium genotypes measured at three different nitrogen levels (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_738228) |
| Information: | Summary
| License
| ISO 19115
| Metadata
| Background
| Data Access Form
| Files
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![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_738228.png?Growthrate,QY&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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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";
}
Ntreatment {
String bcodmo_name "treatment";
String description "Nitrogen level";
String long_name "Ntreatment";
String units "unitless";
}
Growthrate {
Float32 _FillValue NaN;
Float32 actual_range 0.0633, 0.3055;
String bcodmo_name "growth";
String description "Population growth rate";
String long_name "Growthrate";
String units "cells/day";
}
QY {
Float32 _FillValue NaN;
Float32 actual_range 0.11, 0.52;
String bcodmo_name "Fv2Fm";
String description "Quantum Yield";
String long_name "QY";
String units "unitless ratio";
}
Vfl {
Int16 _FillValue 32767;
Int16 actual_range 354, 11150;
String bcodmo_name "Fv2Fm";
String description "Variable Fluorescence";
String long_name "VFL";
String units "unitless";
}
Chla {
Float64 _FillValue NaN;
Float64 actual_range 4216.01, 3374874.75;
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 0.023447099, 0.583635927;
String bcodmo_name "chlorophyll a";
String description "Chlorophll per cell";
String long_name "Chlapercell";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
String units "Relative Fluorescence Units";
}
lncells {
Float64 _FillValue NaN;
Float64 actual_range 10.81977828, 15.91842446;
String bcodmo_name "cell_concentration";
String description "Log of Cell Count";
String long_name "Lncells";
String units "Ln(#cells)";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
String acquisition_description
"Cultures initially isolated from\\u00a0Antillogorgia\\u00a0bipinnata\\u00a0coral
colonies collected at Looe Key ( N 24\\u00b0 32.973' W 81\\u00b0 22.849;
cultures 08-0689.4, 08-0689.6, 08-0691.1) in 2008 and the middle keys new
Tennessee Reef (N 24\\u00b0 45.150'\\u00a0 W 81\\u00b0 45.275'; cultures 13-121,
13-126) in 2013. Culture isolations were performed in the Coffroth lab,
University at Buffalo. Physiological measurements were measured in the
terHorst lab, California State University, Northridge. Quantum yield and
fluorescence\\u00a0yield\\u00a0were measured in an AquaPen-C (Photon Systems
Instruments). Chlorophyll concentration was quantified in a Triology
Fluorometer. Culture growth rates were quantified by visual counts under a
microscope at the beginning and end of the experiment. See Bayliss et al
(2019) for further details and results.";
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 Nitrogen
Traits of five genotypes measured at three different nitrogen levels
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 "2018-06-07T12:59:40Z";
String date_modified "2019-12-04T18:27:58Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.738228.1";
String history
"2024-11-14T21:47:01Z (local files)
2024-11-14T21:47:01Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_738228.das";
String infoUrl "https://www.bco-dmo.org/dataset/738228";
String institution "BCO-DMO";
String instruments_0_acronym "Fluorometer";
String instruments_0_dataset_instrument_description "Used to measure chlorophyll concentrations.";
String instruments_0_dataset_instrument_nid "738245";
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 instruments_1_acronym "Fluorometer";
String instruments_1_dataset_instrument_description "Used to measure quantum yield and fluorescence yield.";
String instruments_1_dataset_instrument_nid "783492";
String instruments_1_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_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
String instruments_1_instrument_name "Fluorometer";
String instruments_1_instrument_nid "484";
String instruments_1_supplied_name "AquaPen-C (Photon Systems Instruments)";
String instruments_2_dataset_instrument_description "Used to count cells for growth rate calculations.";
String instruments_2_dataset_instrument_nid "783493";
String instruments_2_description "Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments.";
String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB06/";
String instruments_2_instrument_name "Microscope-Fluorescence";
String instruments_2_instrument_nid "695";
String instruments_2_supplied_name "microscope";
String keywords "bco, bco-dmo, biological, 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, growthrate, lncells, management, ntreatment, ocean, oceanography, oceans, office, preliminary, science, sea, seawater, vfl, water";
String keywords_vocabulary "GCMD Science Keywords";
String license "https://www.bco-dmo.org/dataset/738228/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/738228";
String param_mapping "{'738228': {}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/738228/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 "Replicates of each Symbiodinium genotype were grown in low (25mg/L), medium (75mg/L), or high (150mg/L) nitrogen environments, after which were measured physiological parameters, including the number of cells, quantum yield, variable fluorescence, and chlorophyll content.";
String title "[Symbiodinium genotype responses to Nitrogen] - Traits of five Symbiodinium genotypes measured at three different nitrogen levels (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";
}
}
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.
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.