ERDDAP > info > bcodmo_dataset_782814

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	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		I   M	background			BCO-DMO	bcodmo_dataset_782814

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	Specific growth rates were calculated using change in fluorescence over time and the equation \u03bc=ln[N(T2)/N(T1)]/(T2-T1). Fluorescence measurements were done using a Turner 10-AU fluorometer (Turner Designs, CA).\u00a0All data was 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
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 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. 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/
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
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/
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
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/782814
attribute	NC_GLOBAL	param_mapping	String	{'782814': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/782814/parameters
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 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	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
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/
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/
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/
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

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.