ERDDAP > info > bcodmo_dataset_774996

Grid DAP Data	Sub- set	Table DAP Data	Make A Graph	W M S	Source Data Files	Acces- sible	Title	Sum- mary	FGDC, ISO, Metadata	Back- ground Info	RSS	E mail	Institution	Dataset ID
		data	graph		files	public	[Anderson & Rynearson 2020: Skeletonema thermal growth] - Thermal growth for Skeletonema species as analyzed in Anderson and Rynearson, 2020 (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)		F   I   M	background			BCO-DMO	bcodmo_dataset_774996

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,.esriCsv,.geoJson
attribute	NC_GLOBAL	acquisition_description	String	Complete methods outlined in Anderson and Rynearson, 2020, in press. Thermal growth measurements: Daily measurements of in vivo Chlorophyll a fluorescence were measured and used to calculate specific growth rates (Gotelli 1995). Following Boyd et al. (2013), a growth rate was determined for each strain at each temperature using a minimum of three serial replicates. Statistical analyses were utilized to ensure fit and similarity of regression (R2, F statistic, F-test; Zar 1996) among replicate growth rates. All data processing was carried out in R 3.4.1(R-Core-Team 2015).
attribute	NC_GLOBAL	awards_0_award_nid	String	712795
attribute	NC_GLOBAL	awards_0_award_number	String	OCE-1638834
attribute	NC_GLOBAL	awards_0_data_url	String	http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638834
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	Thermal growth and elemental data for Skeletonema species PI's: T. Rynearson, S. Anderson (URI) version date: 2019-10-30 Data analyzed in Anderson & Rynearson, 2019
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	2019-08-12T19:59:07Z
attribute	NC_GLOBAL	date_modified	String	2020-02-03T19:53:59Z
attribute	NC_GLOBAL	defaultDataQuery	String	&time<now
attribute	NC_GLOBAL	doi	String	10.1575/1912/bco-dmo.774996.1
attribute	NC_GLOBAL	Easternmost_Easting	double	14.15
attribute	NC_GLOBAL	geospatial_lat_max	double	41.566
attribute	NC_GLOBAL	geospatial_lat_min	double	40.9
attribute	NC_GLOBAL	geospatial_lat_units	String	degrees_north
attribute	NC_GLOBAL	geospatial_lon_max	double	14.15
attribute	NC_GLOBAL	geospatial_lon_min	double	-73.064
attribute	NC_GLOBAL	geospatial_lon_units	String	degrees_east
attribute	NC_GLOBAL	infoUrl	String	https://www.bco-dmo.org/dataset/774996
attribute	NC_GLOBAL	institution	String	BCO-DMO
attribute	NC_GLOBAL	instruments_0_acronym	String	Turner Fluorometer -10AU
attribute	NC_GLOBAL	instruments_0_dataset_instrument_description	String	Used for thermal growth measurements.
attribute	NC_GLOBAL	instruments_0_dataset_instrument_nid	String	775027
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	instruments_0_supplied_name	String	10-AU Fluorometer (Turner Designs, San Jose, CA)
attribute	NC_GLOBAL	instruments_1_dataset_instrument_description	String	Used t measure cell volume.
attribute	NC_GLOBAL	instruments_1_dataset_instrument_nid	String	775029
attribute	NC_GLOBAL	instruments_1_description	String	Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a "light microscope".
attribute	NC_GLOBAL	instruments_1_instrument_external_identifier	String	https://vocab.nerc.ac.uk/collection/L05/current/LAB05/
attribute	NC_GLOBAL	instruments_1_instrument_name	String	Microscope-Optical
attribute	NC_GLOBAL	instruments_1_instrument_nid	String	708
attribute	NC_GLOBAL	instruments_1_supplied_name	String	Eclipse E800 microscope (Nikon, Tokyo, Japan)
attribute	NC_GLOBAL	instruments_2_dataset_instrument_nid	String	780395
attribute	NC_GLOBAL	instruments_2_description	String	Plate readers (also known as microplate readers) are laboratory instruments designed to detect biological, chemical or physical events of samples in microtiter plates. They are widely used in research, drug discovery, bioassay validation, quality control and manufacturing processes in the pharmaceutical and biotechnological industry and academic organizations. Sample reactions can be assayed in 6-1536 well format microtiter plates. The most common microplate format used in academic research laboratories or clinical diagnostic laboratories is 96-well (8 by 12 matrix) with a typical reaction volume between 100 and 200 uL per well. Higher density microplates (384- or 1536-well microplates) are typically used for screening applications, when throughput (number of samples per day processed) and assay cost per sample become critical parameters, with a typical assay volume between 5 and 50 µL per well. Common detection modes for microplate assays are absorbance, fluorescence intensity, luminescence, time-resolved fluorescence, and fluorescence polarization. From: https://en.wikipedia.org/wiki/Plate_reader, 2014-09-0-23.
attribute	NC_GLOBAL	instruments_2_instrument_name	String	plate reader
attribute	NC_GLOBAL	instruments_2_instrument_nid	String	528693
attribute	NC_GLOBAL	instruments_2_supplied_name	String	Microplate Reader (Spectramax M Series, Molecular Devices, Sunnyvale, CA)
attribute	NC_GLOBAL	keywords	String	bank, bco, bco-dmo, biological, chemical, collection, data, dataset, date, dmo, erddap, gen, GenBank, growth, isolation, Isolation_Lat, Isolation_Lon, Isolation_Temperature, management, oceanography, office, preliminary, species, strain, temperature, time
attribute	NC_GLOBAL	license	String	https://www.bco-dmo.org/dataset/774996/license
attribute	NC_GLOBAL	metadata_source	String	https://www.bco-dmo.org/api/dataset/774996
attribute	NC_GLOBAL	Northernmost_Northing	double	41.566
attribute	NC_GLOBAL	param_mapping	String	{'774996': {'Isolation_Lon': 'flag - longitude', 'Isolation_Lat': 'flag - latitude'}}
attribute	NC_GLOBAL	parameter_source	String	https://www.bco-dmo.org/mapserver/dataset/774996/parameters
attribute	NC_GLOBAL	people_0_affiliation	String	University of Rhode Island
attribute	NC_GLOBAL	people_0_affiliation_acronym	String	URI-GSO
attribute	NC_GLOBAL	people_0_person_name	String	Tatiana Rynearson
attribute	NC_GLOBAL	people_0_person_nid	String	511706
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	University of Rhode Island
attribute	NC_GLOBAL	people_1_affiliation_acronym	String	URI-GSO
attribute	NC_GLOBAL	people_1_person_name	String	Stephanie Anderson
attribute	NC_GLOBAL	people_1_person_nid	String	775001
attribute	NC_GLOBAL	people_1_role	String	Contact
attribute	NC_GLOBAL	people_1_role_type	String	related
attribute	NC_GLOBAL	people_2_affiliation	String	Woods Hole Oceanographic Institution
attribute	NC_GLOBAL	people_2_affiliation_acronym	String	WHOI BCO-DMO
attribute	NC_GLOBAL	people_2_person_name	String	Nancy Copley
attribute	NC_GLOBAL	people_2_person_nid	String	50396
attribute	NC_GLOBAL	people_2_role	String	BCO-DMO Data Manager
attribute	NC_GLOBAL	people_2_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	Southernmost_Northing	double	40.9
attribute	NC_GLOBAL	standard_name_vocabulary	String	CF Standard Name Table v55
attribute	NC_GLOBAL	summary	String	Thermal growth rates for 24 strains representing 5 species from the diatom genus Skeletonema, as analyzed in Anderson and Rynearson, 2020. Strains were grown at temperatures ranging from -2 to 36C to assess how inter- and intraspecific thermal trait variability could explain diatom community dynamics.
attribute	NC_GLOBAL	title	String	[Anderson & Rynearson 2020: Skeletonema thermal growth] - Thermal growth for Skeletonema species as analyzed in Anderson and Rynearson, 2020 (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	Westernmost_Easting	double	-73.064
attribute	NC_GLOBAL	xml_source	String	osprey2erddap.update_xml() v1.3
variable	Species		String
attribute	Species	bcodmo_name	String	species
attribute	Species	description	String	Species
attribute	Species	long_name	String	Species
attribute	Species	units	String	unitless
variable	Strain		String
attribute	Strain	bcodmo_name	String	sample_descrip
attribute	Strain	description	String	Strain
attribute	Strain	long_name	String	Strain
attribute	Strain	units	String	unitless
variable	Temperature		byte
attribute	Temperature	_FillValue	byte	127
attribute	Temperature	actual_range	byte	-2, 36
attribute	Temperature	bcodmo_name	String	temp_incub
attribute	Temperature	description	String	Experimental temperature at which measurements were recorded
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 C
variable	Isolation_Temperature		float
attribute	Isolation_Temperature	_FillValue	float	NaN
attribute	Isolation_Temperature	actual_range	float	-0.94, 23.02
attribute	Isolation_Temperature	bcodmo_name	String	temp_ss
attribute	Isolation_Temperature	description	String	Sea surface temperature (SST) at time and position of isolation
attribute	Isolation_Temperature	long_name	String	Isolation Temperature
attribute	Isolation_Temperature	units	String	degrees C
variable	Growth		float
attribute	Growth	_FillValue	float	NaN
attribute	Growth	actual_range	float	0.0, 2.2934
attribute	Growth	bcodmo_name	String	growth
attribute	Growth	description	String	Specific growth rate recoded at temperature
attribute	Growth	long_name	String	Growth
attribute	Growth	units	String	per day
variable	GenBank		String
attribute	GenBank	bcodmo_name	String	accession number
attribute	GenBank	description	String	GenBank Accession Number associated with each strain
attribute	GenBank	long_name	String	Gen Bank
attribute	GenBank	units	String	unitless
variable	Collection_date		String
attribute	Collection_date	bcodmo_name	String	date
attribute	Collection_date	description	String	Date of collection from the environment; formatted as yyyy-mm-dd
attribute	Collection_date	long_name	String	Collection Date
attribute	Collection_date	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/
attribute	Collection_date	source_name	String	Collection_date
attribute	Collection_date	time_precision	String	1970-01-01
attribute	Collection_date	units	String	unitless
variable	latitude		double
attribute	latitude	_CoordinateAxisType	String	Lat
attribute	latitude	_FillValue	double	NaN
attribute	latitude	actual_range	double	40.9, 41.566
attribute	latitude	axis	String	Y
attribute	latitude	bcodmo_name	String	latitude
attribute	latitude	description	String	Latitude of strain isolation; north is positive
attribute	latitude	ioos_category	String	Location
attribute	latitude	long_name	String	Isolation Lat
attribute	latitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LATX/
attribute	latitude	standard_name	String	latitude
attribute	latitude	units	String	degrees_north
variable	longitude		double
attribute	longitude	_CoordinateAxisType	String	Lon
attribute	longitude	_FillValue	double	NaN
attribute	longitude	actual_range	double	-73.064, 14.15
attribute	longitude	axis	String	X
attribute	longitude	bcodmo_name	String	longitude
attribute	longitude	description	String	Longitude of strain isolation; east is positive
attribute	longitude	ioos_category	String	Location
attribute	longitude	long_name	String	Isolation Lon
attribute	longitude	nerc_identifier	String	https://vocab.nerc.ac.uk/collection/P09/current/LONX/
attribute	longitude	standard_name	String	longitude
attribute	longitude	units	String	degrees_east

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.