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Title Sum-
Institution Dataset ID
     data   graph     files  public Thermal growth for Skeletonema species as analyzed in Anderson and Rynearson, 2020    ?     I   M   background (external link) RSS Subscribe 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 (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 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/ (external link)
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 (external link)
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/ (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 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/ (external link)
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 (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/774996 (external link)
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 (external link)
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 Thermal growth for Skeletonema species as analyzed in Anderson and Rynearson, 2020
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/ (external link)
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/ (external link)
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/ (external link)
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/ (external link)
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.

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