BCO-DMO ERDDAP
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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 Specific growth rates were calculated using change in fluorescence over time\nand the equation \\u03bc=ln[N(T2)/N(T1)]/(T2-T1). Fluorescence measurements\nwere done using a Turner 10-AU fluorometer (Turner Designs, CA).\\u00a0All data\nwas processed using R (v 3.4.4).
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 Diatom growth rates \n   Growth rates for seven strains of a marine Chaetoceros sp. isolated from Narragansett Bay March 2018.  \n       Growth was measured across six to seven temperatures and three light intensities for each strain. \n   PI: D. Hutchins (USC) \n   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 2019-11-25T16:30:55Z
attribute NC_GLOBAL date_modified String 2020-03-09T13:20:12Z
attribute NC_GLOBAL defaultDataQuery String &time<now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.782814.1
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/782814 (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_nid String 782820
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 keywords String bco, bco-dmo, biological, chemical, data, dataset, dev, dmo, erddap, growth, growth_rate_mean, growth_rate_StDev, light, management, mean, oceanography, office, preliminary, rate, strain, temperature
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/782814/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/782814 (external link)
attribute NC_GLOBAL param_mapping String {'782814': {}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/782814/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:\nPhotosynthetic 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.\nPredicting 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 for seven strains of a marine Chaetoceros sp. isolated from Narragansett Bay March 2018. Growth was measured across six to seven temperatures and three light intensities for each strain
attribute NC_GLOBAL title String [Diatom growth rates] - Growth rates across multiple temperatures and light intensities for seven strains of a marine Chaetoceros sp. isolated from Narragansett Bay March 2018. Growth was measured across six to seven temperatures and three light intensities for each strain (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.5
variable Strain byte
attribute Strain _FillValue byte 127
attribute Strain actual_range byte 1, 53
attribute Strain bcodmo_name String sample
attribute Strain description String strain code for Chaetoceros sp.
attribute Strain long_name String Strain
attribute Strain nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/ACYC/ (external link)
attribute Strain units String unitless
variable Temperature byte
attribute Temperature _FillValue byte 127
attribute Temperature actual_range byte 2, 22
attribute Temperature bcodmo_name String temperature
attribute Temperature description String temperature during growth rates experiments
attribute Temperature long_name String Temperature
attribute Temperature nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/ (external link)
attribute Temperature units String degrees Celsius
variable Light byte
attribute Light _FillValue byte 127
attribute Light actual_range byte 15, 50
attribute Light bcodmo_name String irradiance
attribute Light description String light level during experiment
attribute Light long_name String Light
attribute Light nerc_identifier String https://vocab.nerc.ac.uk/collection/P02/current/VSRW/ (external link)
attribute Light units String umol Photons per m2 per second
variable growth_rate_mean double
attribute growth_rate_mean _FillValue double NaN
attribute growth_rate_mean actual_range double -0.081949203, 0.452666989
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 0.0, 0.203704739
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

 
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