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Title Sum-
Institution Dataset ID
     data   graph     files  public Growth rates across temperatures for 11 new isolates of marine Synechococcus from
Narragansett Bay, July 2017
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The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv
attribute NC_GLOBAL acquisition_description String Natural seawater was enriched for photoautotrophs and split into multiple
temperatures for two weeks. After the enrichment period, Synechococcus was
isolated from each temperature. Each isolate's thermal niche was measured
through a series of lab experiments and sequenced.

Methods:\u00a0Thermal niches were calculated by measuring each strain\u2019s
thermal performance curve. This was done by acclimating aliquots of each
culture for two weeks to a broad range of temperatures between 9\u00b0 and
33\u00b0. Temperatures >33\u00b0 were added as needed for strains able to grow
at these levels.\u00a0 This temperature range was chosen because it exceeds
the current summer high and low temperatures in Narragansett Bay, and
encompasses the projected warmer temperatures expected in coming decades.
Strains were grown at each temperature in triplicate 8 ml borosilicate vials
containing 5ml of F/2 medium. Biomass was recorded every two days using in
vivo chlorophyll a fluorescence measured on a Turner AU-10 fluorometer (Turner
Designs Inc., Sunnyvale, CA, USA), and growth rates and Eppley-Norberg thermal
performance curves (Norberg 2004) were calculated in R (Team 2019) using the
package growthTools (DOI:10.5281/zenodo.3634918). Rare cultures containing
contaminants (verified using fluorescence microscopy) were excluded from the
dataset. In two strains for low temperature treatments, LA20 and LA27, after
two weeks of acclimation no Synechococcus cells were observed in the culture,
so the growth rate was set to zero for these cultures. The results of these
thermal performance curves are hereafter referred to as a strain\u2019s
attribute NC_GLOBAL awards_0_award_nid String 712792
attribute NC_GLOBAL awards_0_award_number String OCE-1638804
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638804 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String Michael E. Sieracki
attribute NC_GLOBAL awards_0_program_manager_nid String 50446
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Synechococcus growth rates
Growth rates across temperatures for 11 new isolates of marine Synechococcus
PI: D. Hutchins (USC)
version date: 2019-11-20
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3 19 Dec 2019
attribute NC_GLOBAL dataset_current_state String Final and no updates
attribute NC_GLOBAL date_created String 2019-11-21T13:53:09Z
attribute NC_GLOBAL date_modified String 2020-04-27T20:32:04Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.26008/1912/bco-dmo.782314.1
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/782314 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Turner Fluorometer 10-AU
attribute NC_GLOBAL instruments_0_dataset_instrument_description String Used to measure fluorescence for growth rate calculations.
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 783234
attribute NC_GLOBAL instruments_0_description String The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA)
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Turner Designs Fluorometer 10-AU
attribute NC_GLOBAL instruments_0_instrument_nid String 464
attribute NC_GLOBAL instruments_0_supplied_name String Turner 10-AU Fluorometer (Turner Designs, CA)
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, data, dataset, dev, dmo, erddap, growth, growth_rate_mean, growth_rate_StDev, isolate, management, mean, oceanography, office, preliminary, rate, Temp, temperature
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/782314/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/782314 (external link)
attribute NC_GLOBAL param_mapping String {'782314': {}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/782314/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of Southern California
attribute NC_GLOBAL people_0_affiliation_acronym String USC
attribute NC_GLOBAL people_0_person_name String David A. Hutchins
attribute NC_GLOBAL people_0_person_nid String 51048
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_1_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_1_person_name String Nancy Copley
attribute NC_GLOBAL people_1_person_nid String 50396
attribute NC_GLOBAL people_1_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_1_role_type String related
attribute NC_GLOBAL project String Phytoplankton Community Responses
attribute NC_GLOBAL projects_0_acronym String Phytoplankton Community Responses
attribute NC_GLOBAL projects_0_description String NSF Award Abstract:
Photosynthetic marine microbes, phytoplankton, contribute half of global primary production, form the base of most aquatic food webs and are major players in global biogeochemical cycles. Understanding their community composition is important because it affects higher trophic levels, the cycling of energy and elements and is sensitive to global environmental change. This project will investigate how phytoplankton communities respond to two major global change stressors in aquatic systems: warming and changes in nutrient availability. The researchers will work in two marine systems with a long history of environmental monitoring, the temperate Narragansett Bay estuary in Rhode Island and a subtropical North Atlantic site near Bermuda. They will use field sampling and laboratory experiments with multiple species and varieties of phytoplankton to assess the diversity in their responses to different temperatures under high and low nutrient concentrations. If the diversity of responses is high within species, then that species may have a better chance to adapt to rising temperatures and persist in the future. Some species may already be able to grow at high temperatures; consequently, they may become more abundant as the ocean warms. The researchers will incorporate this response information in mathematical models to predict how phytoplankton assemblages would reorganize under future climate scenarios. Graduate students and postdoctoral associates will be trained in diverse scientific approaches and techniques such as shipboard sampling, laboratory experiments, genomic analyses and mathematical modeling. The results of the project will be incorporated into K-12 teaching, including an advanced placement environmental science class for underrepresented minorities in Los Angeles, data exercises for rural schools in Michigan and disseminated to the public through an environmental journalism institute based in Rhode Island.
Predicting how ecological communities will respond to a changing environment requires knowledge of genetic, phylogenetic and functional diversity within and across species. This project will investigate how the interaction of phylogenetic, genetic and functional diversity in thermal traits within and across a broad range of species determines the responses of marine phytoplankton communities to rising temperature and changing nutrient regimes. High genetic and functional diversity within a species may allow evolutionary adaptation of that species to warming. If the phylogenetic and functional diversity is higher across species, species sorting and ecological community reorganization is likely. Different marine sites may have a different balance of genetic and functional diversity within and across species and, thus, different contribution of evolutionary and ecological responses to changing climate. The research will be conducted at two long-term time series sites in the Atlantic Ocean, the Narragansett Bay Long-Term Plankton Time Series and the Bermuda Atlantic Time Series (BATS) station. The goal is to assess intra- and inter-specific genetic and functional diversity in thermal responses at contrasting nutrient concentrations for a representative range of species in communities at the two sites in different seasons, and use this information to parameterize eco-evolutionary models embedded into biogeochemical ocean models to predict responses of phytoplankton communities to projected rising temperatures under realistic nutrient conditions. Model predictions will be informed by and tested with field data, including the long-term data series available for both sites and in community temperature manipulation experiments. This project will provide novel information on existing intraspecific genetic and functional thermal diversity for many ecologically and biogeochemically important phytoplankton species, estimate generation of new genetic and functional diversity in evolution experiments, and develop and parameterize novel eco-evolutionary models interfaced with ocean biogeochemical models to predict future phytoplankton community structure. The project will also characterize the interaction of two major global change stressors, warming and changing nutrient concentrations, as they affect phytoplankton diversity at functional, genetic, and phylogenetic levels. In addition, the project will develop novel modeling methodology that will be broadly applicable to understanding how other types of complex ecological communities may adapt to a rapidly warming world.
attribute NC_GLOBAL projects_0_end_date String 2020-09
attribute NC_GLOBAL projects_0_geolocation String Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS)
attribute NC_GLOBAL projects_0_name String Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
attribute NC_GLOBAL projects_0_project_nid String 712787
attribute NC_GLOBAL projects_0_start_date String 2016-10
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String Growth rates across temperatures for 11 new isolates of marine Synechococcus from Narragansett Bay, July 2017.
attribute NC_GLOBAL title String Growth rates across temperatures for 11 new isolates of marine Synechococcus from Narragansett Bay, July 2017
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.5
variable Isolate   String  
attribute Isolate bcodmo_name String taxon_code
attribute Isolate description String sample identifier; renamed from Sample_Code
attribute Isolate long_name String Isolate
attribute Isolate units String unitless
variable Temp   byte  
attribute Temp _FillValue byte 127
attribute Temp actual_range byte 9, 35
attribute Temp bcodmo_name String temperature
attribute Temp description String temperature during growth rates experiments
attribute Temp long_name String Temperature
attribute Temp nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ (external link)
attribute Temp units String degrees Celsius
variable growth_rate_mean   double  
attribute growth_rate_mean _FillValue double NaN
attribute growth_rate_mean actual_range double -0.32915179, 0.724674784
attribute growth_rate_mean bcodmo_name String growth
attribute growth_rate_mean description String mean growth rate
attribute growth_rate_mean long_name String Growth Rate Mean
attribute growth_rate_mean units String cells/day
variable growth_rate_StDev   double  
attribute growth_rate_StDev _FillValue double NaN
attribute growth_rate_StDev actual_range double 2.7448E-4, 0.438579435
attribute growth_rate_StDev bcodmo_name String growth
attribute growth_rate_StDev description String standard deviation of growth rates
attribute growth_rate_StDev long_name String Growth Rate St Dev
attribute growth_rate_StDev units String cells/day

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.

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