http://lod.bco-dmo.org/id/dataset/774996
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2019-08-12
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Thermal growth for Skeletonema species as analyzed in Anderson and Rynearson, 2020
2019-08-12
publication
2019-08-12
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-02-03
publication
https://doi.org/10.1575/1912/bco-dmo.774996.1
Tatiana A. Rynearson
University of Rhode Island
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Rynearson, T. (2019) Thermal growth for Skeletonema species as analyzed in Anderson and Rynearson, 2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-08-12 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.774996.1 [access date]
Anderson & Rynearson 2020: Skeletonema thermal growth Dataset Description: <p>This dataset includes experimental&nbsp;thermal growth measurements from five Skeletonema species. Strains were collected at Narragansett Bay, Rhode Island and obtained from&nbsp;the National Center for Marine Algae and Microbiota (NCMA/CCMP), and grown at varying temperatures.</p> Methods and Sampling: <p>Complete methods outlined in Anderson and Rynearson, 2020, in press.</p>
<p>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.</p>
<p>All data processing was carried out in R 3.4.1(R-Core-Team 2015).</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1638834 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1638834
completed
Tatiana A. Rynearson
University of Rhode Island
401-874-6022
Graduate School of Oceanography, University of Rhode Island 215 South Ferry Rd.
Narragansett
RI
02882
USA
rynearson@uri.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Species
Strain
GenBank
Collection_date
Isolation_Lat
Isolation_Lon
Isolation_Temperature
Temperature
Growth
10-AU Fluorometer (Turner Designs, San Jose, CA)
Eclipse E800 microscope (Nikon, Tokyo, Japan)
Microplate Reader (Spectramax M Series, Molecular Devices, Sunnyvale, CA)
theme
None, User defined
species
sample description
accession number
date
latitude
longitude
sea surface temperature
temp_incub
growth
featureType
BCO-DMO Standard Parameters
Turner Designs Fluorometer 10-AU
Microscope - Optical
plate reader
instrument
BCO-DMO Standard Instruments
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Dimensions of Biodiversity
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503446
Dimensions of Biodiversity
(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program. [MORE from NSF]
The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.
Dimensions of Biodiversity
largerWorkCitation
program
Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
https://www.bco-dmo.org/project/712787
Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients
<p><em>NSF Award Abstract:</em><br />
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.</p>
<p>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.</p>
Phytoplankton Community Responses
largerWorkCitation
project
eng; USA
biota
oceans
-73.064
14.15
40.9
41.566
1956-05-09
2016-07-05
Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS)
0
BCO-DMO catalogue of parameters from Thermal growth for Skeletonema species as analyzed in Anderson and Rynearson, 2020
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/775005.rdf
Name: Species
Units: unitless
Description: Species
http://lod.bco-dmo.org/id/dataset-parameter/775006.rdf
Name: Strain
Units: unitless
Description: Strain
http://lod.bco-dmo.org/id/dataset-parameter/775007.rdf
Name: GenBank
Units: unitless
Description: GenBank Accession Number associated with each strain
http://lod.bco-dmo.org/id/dataset-parameter/775008.rdf
Name: Collection_date
Units: unitless
Description: Date of collection from the environment; formatted as yyyy-mm-dd
http://lod.bco-dmo.org/id/dataset-parameter/775009.rdf
Name: Isolation_Lat
Units: degrees
Description: Latitude of strain isolation; north is positive
http://lod.bco-dmo.org/id/dataset-parameter/775010.rdf
Name: Isolation_Lon
Units: degrees
Description: Longitude of strain isolation; east is positive
http://lod.bco-dmo.org/id/dataset-parameter/775011.rdf
Name: Isolation_Temperature
Units: degrees C
Description: Sea surface temperature (SST) at time and position of isolation
http://lod.bco-dmo.org/id/dataset-parameter/775012.rdf
Name: Temperature
Units: degrees C
Description: Experimental temperature at which measurements were recorded
http://lod.bco-dmo.org/id/dataset-parameter/775013.rdf
Name: Growth
Units: per day
Description: Specific growth rate recoded at temperature
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
25903
https://darchive.mblwhoilibrary.org/bitstream/1912/25305/1/dataset-774996_anderson-rynearson-2020-skeletonema-thermal-growth__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.774996.1
download
onLine
dataset
<p>Complete methods outlined in Anderson and Rynearson, 2020, in press.</p>
<p>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.</p>
<p>All data processing was carried out in R 3.4.1(R-Core-Team 2015).</p>
Specified by the Principal Investigator(s)
<p><strong>BCO-DMO Processing Notes:</strong><br />
- added conventional header with dataset name, PI name, version date<br />
- re-formatted date from m/d/yyyy to yyyy-mm-dd<br />
- reduced number of significant digits of Growth from up to 9 , to 4</p>
<p>&nbsp;</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
10-AU Fluorometer (Turner Designs, San Jose, CA)
10-AU Fluorometer (Turner Designs, San Jose, CA)
PI Supplied Instrument Name: 10-AU Fluorometer (Turner Designs, San Jose, CA) PI Supplied Instrument Description:Used for thermal growth measurements. Instrument Name: Turner Designs Fluorometer 10-AU Instrument Short Name:Turner Fluorometer 10-AU Instrument Description: 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) Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/
Eclipse E800 microscope (Nikon, Tokyo, Japan)
Eclipse E800 microscope (Nikon, Tokyo, Japan)
PI Supplied Instrument Name: Eclipse E800 microscope (Nikon, Tokyo, Japan) PI Supplied Instrument Description:Used t measure cell volume. Instrument Name: Microscope - Optical Instrument Short Name: Instrument Description: 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". Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB05/
Microplate Reader (Spectramax M Series, Molecular Devices, Sunnyvale, CA)
Microplate Reader (Spectramax M Series, Molecular Devices, Sunnyvale, CA)
PI Supplied Instrument Name: Microplate Reader (Spectramax M Series, Molecular Devices, Sunnyvale, CA) Instrument Name: plate reader Instrument Short Name: Instrument Description: 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: http://en.wikipedia.org/wiki/Plate_reader, 2014-09-0-23.