ERDDAP > info > bcodmo_dataset_778926

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	C:N ratios of two heat\u2010tolerant populations of Chaetoceros simplex and control and ancestral populations, at different temperatures		I   M	background			BCO-DMO	bcodmo_dataset_778926

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	Chaetoceros simplex cultures, were obtained from population strain CCMP 200 (National Center for Marine Algae and Microbiota, NCMA). C : N elemental analyses: We measured the elemental composition of the two 34 \u00b0C\u2010tolerant populations and the control and ancestral populations, at different temperatures. From each culture during exponential growth, we filtered 10\u201320 mL duplicate subsamples onto pre\u2010combusted GF/F filters. The filters were then dried at 60 \u00b0C for 24 h, packed in aluminium tins and kept in a desiccator. Blanks were 10\u201320 mL of the medium filtered and processed as other samples. Particulate C and N were measured with a CHN analyzer (Costech ECS 4010) and ratios were calculated from weight percentage of each element after the subtraction of the corresponding blank. More details in Aranguren-Gassis et al. 2019, Ecology Letters.
attribute	NC_GLOBAL	awards_0_award_nid	String	712786
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1638958
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638958
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	awards_1_award_nid	String	712792
attribute	NC_GLOBAL	awards_1_award_number	String	OCE-1638804
attribute	NC_GLOBAL	awards_1_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638804
attribute	NC_GLOBAL	awards_1_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_1_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_1_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_1_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_1_program_manager_nid	String	50446
attribute	NC_GLOBAL	awards_2_award_nid	String	712795
attribute	NC_GLOBAL	awards_2_award_number	String	OCE-1638834
attribute	NC_GLOBAL	awards_2_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638834
attribute	NC_GLOBAL	awards_2_funder_name	String	NSF Division of Ocean Sciences
attribute	NC_GLOBAL	awards_2_funding_acronym	String	NSF OCE
attribute	NC_GLOBAL	awards_2_funding_source_nid	String	355
attribute	NC_GLOBAL	awards_2_program_manager	String	Michael E. Sieracki
attribute	NC_GLOBAL	awards_2_program_manager_nid	String	50446
attribute	NC_GLOBAL	cdm_data_type	String	Other
attribute	NC_GLOBAL	comment	String	C:N ratios of two 34C-tolerant populations of Chaetoceros simplex and control and ancestral populations, at different temperatures. P.I.'s: M. Aranguren-Gassis (U. Vigo), E. Litchman (MSU), C. Klausmeier (MSU) version date: 2019-10-07
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	date_created	String	2019-10-09T17:22:11Z
attribute	NC_GLOBAL	date_modified	String	2019-10-30T17:29:25Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.778926.1
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/778926
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	CHN_EA
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	778941
attribute	NC_GLOBAL	instruments_0_description	String	A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.
attribute	NC_GLOBAL	instruments_0_instrument_name	String	CHN Elemental Analyzer
attribute	NC_GLOBAL	instruments_0_instrument_nid	String	625
attribute	NC_GLOBAL	instruments_0_supplied_name	String	CHN analyzer (Costech ECS 4010)
attribute	NC_GLOBAL	keywords	String	bco, bco-dmo, biological, chemical, CN_ratio, data, dataset, dmo, erddap, management, oceanography, office, preliminary, ratio, temperature, treatment
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/778926/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/778926
attribute	NC_GLOBAL	param_mapping	String	{'778926': {}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/778926/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	Michigan State University
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	MSU
attribute	NC_GLOBAL	people_0_person_name	String	Elena Litchman
attribute	NC_GLOBAL	people_0_person_nid	String	543190
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	Michigan State University
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	MSU
attribute	NC_GLOBAL	people_1_person_name	String	Christopher Klausmeier
attribute	NC_GLOBAL	people_1_person_nid	String	543192
attribute	NC_GLOBAL	people_1_role	String	Co-Principal Investigator
attribute	NC_GLOBAL	people_1_role_type	String	originator
attribute	NC_GLOBAL	people_2_affiliation	String	Michigan State University
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	MSU
attribute	NC_GLOBAL	people_2_person_name	String	Colin T. Kremer
attribute	NC_GLOBAL	people_2_person_nid	String	779889
attribute	NC_GLOBAL	people_2_role	String	Scientist
attribute	NC_GLOBAL	people_2_role_type	String	originator
attribute	NC_GLOBAL	people_3_affiliation	String	Universidad de Vigo
attribute	NC_GLOBAL	people_3_person_name	String	Maria Aranguren-Gassis
attribute	NC_GLOBAL	people_3_person_nid	String	778758
attribute	NC_GLOBAL	people_3_role	String	Contact
attribute	NC_GLOBAL	people_3_role_type	String	related
attribute	NC_GLOBAL	people_4_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_4_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_4_person_name	String	Nancy Copley
attribute	NC_GLOBAL	people_4_person_nid	String	50396
attribute	NC_GLOBAL	people_4_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_4_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	C:N ratios of the two 34C\u2010tolerant populations of Chaetoceros simplex and control and ancestral populations, at different temperatures.
attribute	NC_GLOBAL	title	String	C:N ratios of two heat\u2010tolerant populations of Chaetoceros simplex and control and ancestral populations, at different temperatures
attribute	NC_GLOBAL	version	String	1
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	treatment		String
attribute	treatment	bcodmo_name	String	treatment
attribute	treatment	description	String	Experimental treatment: Evolved = populations raised 34C; Control = populations maintained at 25C
attribute	treatment	long_name	String	Treatment
attribute	treatment	units	String	unitless
variable	Temperature		byte
attribute	Temperature	_FillValue	byte	127
attribute	Temperature	actual_range	byte	20, 35
attribute	Temperature	bcodmo_name	String	temperature
attribute	Temperature	description	String	Culture maintenance temperature
attribute	Temperature	long_name	String	Temperature
attribute	Temperature	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/
attribute	Temperature	units	String	Celsius degrees
variable	CN_ratio		float
attribute	CN_ratio	_FillValue	float	NaN
attribute	CN_ratio	actual_range	float	5.0, 7.0
attribute	CN_ratio	bcodmo_name	String	C_to_N
attribute	CN_ratio	description	String	Carbon:Nitrogen ratio
attribute	CN_ratio	long_name	String	CN Ratio
attribute	CN_ratio	units	String	percent

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.