http://lod.bco-dmo.org/id/dataset/780192 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 2019-10-30 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Per-capita growth rates for T. pseudonana selected at low and high temperatures for ~350 generations and assayed at 10 temperatures 2019-10-28 publication 2019-10-28 revision BCO-DMO Linked Data URI 2019-10-28 creation http://lod.bco-dmo.org/id/dataset/780192 Elena Litchman Michigan State University principalInvestigator Daniel R. O'Donnell Michigan State University 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: Litchman, E., O'Donnell, D. R. (2019) Per-capita growth rates for T. pseudonana selected at low and high temperatures for ~350 generations and assayed at 10 temperatures. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-10-28 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/780192 [access date] T. pseudonana growth rates at 2 temps Dataset Description: &lt;p&gt;Per-capita growth rates for T. pseudonana selected at low and high temperatures for ~350 generations and assayed at 10 temperatures.&lt;/p&gt; &lt;p&gt;These data were published in O'Donnell et al (2018) Global Change Biol. and can also be found in Supporting Information archive gcb14360-sup-0001-SupInfoS1.zip. The filename is ODonnell_etal_2018_temp_gr.rate_data_T.pseudonana_0318.csv. These data can also be seen in Figure 1 of the main text.&lt;/p&gt; Methods and Sampling: &lt;p&gt;We cultured Thalassiosira pseudonana strain NCMA 1335 (formerly 3H) form a single cell (isolated by plating on agar) and sub-cultured 5 replicate populations into 20 ml of L1 marine culture medium in 50 ml tissue culture flasks at 16°C and 5 at 31°C. Per-capita growth rate was ~1 per day at both temperatures. Cultures were agitated daily to maintain cells in suspension, and 1,000,000 cells transferred to fresh L1 marine culture medium every 4 d for 350 generations (~2 y) of experimental temperature selection. Flasks had breathable, sterile caps, allowing for gas exchange. After ~350 generations, we assayed the per-capita population growth rates of all 5 replicate populations from each selection temperature at 10 temperatures, roughly spanning the previously recorded thermal niche of T. pseudonana, acclimating sub-cultured populations at each assay temperature for ~12 generations prior to the assay. Acclimation times ranged from ~10 d at near‐optimal temperatures to more than a month at 3°C. We estimated daily change in optical density using a spectrophotometer (see below). Assay times ranged from 4-14 d. We estimated per-capita growth rates by natural log-transforming densities and fitting a linear regression to the exponential portion of the growth curve.&lt;/p&gt; &lt;p&gt;We sampled daily during selection and assays by placing each entire tissue culture flask in a Shimadzu UV‐2401PC spectrophotometer (Shimadzu Corporation, Kyoto, Japan) and measuring absorbance at 436 nm (the wavelength corresponding to the absorbance maximum of chlorophyll a. Density data were log-transformed and linear regressions fit using R statistical programming language version 3.3.2.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1638958 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1638958 Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1638804 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1638804 Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1638834 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1638834 completed Elena Litchman Michigan State University 269-671-2338 3700 E Gull Lake Dr. Hickory Corners MI 49060 USA litchman@msu.edu pointOfContact Daniel R. O'Donnell Michigan State University 505 702 7354 odonnell.380@osu.edu pointOfContact asNeeded Dataset Version: 1 Unknown evol_temp assay_temp gr_rate replicate strain Shimadzu UV‐2401PC spectrophotometer (Shimadzu Corporation, Kyoto, Japan) theme None, User defined water temperature at measurement depth growth replicate featureType BCO-DMO Standard Parameters UV Spectrophotometer-Shimadzu 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://osprey.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 -85.4007 -85.4007 42.4061 42.4061 2015-08-06 2015-08-15 Narragansett Bay, RI and Bermuda, Bermuda Atlantic Time-series Study (BATS) 0 BCO-DMO catalogue of parameters from Per-capita growth rates for T. pseudonana selected at low and high temperatures for ~350 generations and assayed at 10 temperatures 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/780215.rdf Name: evol_temp Units: degrees Celsius Description: <p>Growth chamber temperature long-term selection experiment</p> http://lod.bco-dmo.org/id/dataset-parameter/780216.rdf Name: assay_temp Units: degrees Celsius Description: <p>Growth chamber temperature during temperature-dependent growth assay</p> http://lod.bco-dmo.org/id/dataset-parameter/780217.rdf Name: gr_rate Units: per day Description: <p>Per-capita growth rate of T. pseudonana batch culture</p> http://lod.bco-dmo.org/id/dataset-parameter/780218.rdf Name: replicate Units: unitless Description: <p>Replicate population ID during long-term selection experiment</p> http://lod.bco-dmo.org/id/dataset-parameter/780219.rdf Name: strain Units: unitless Description: <p>A second replicate population ID; also indicating selection temperature</p> 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 4796 https://datadocs.bco-dmo.org/file/EKKyEKZInv4VNZ/temp-growth_rates.csv temp-growth_rates.csv Primary data file for dataset ID 780192 download https://osprey.bco-dmo.org/dataset/780192/data/download download onLine dataset &lt;p&gt;We cultured Thalassiosira pseudonana strain NCMA 1335 (formerly 3H) form a single cell (isolated by plating on agar) and sub-cultured 5 replicate populations into 20 ml of L1 marine culture medium in 50 ml tissue culture flasks at 16°C and 5 at 31°C. Per-capita growth rate was ~1 per day at both temperatures. Cultures were agitated daily to maintain cells in suspension, and 1,000,000 cells transferred to fresh L1 marine culture medium every 4 d for 350 generations (~2 y) of experimental temperature selection. Flasks had breathable, sterile caps, allowing for gas exchange. After ~350 generations, we assayed the per-capita population growth rates of all 5 replicate populations from each selection temperature at 10 temperatures, roughly spanning the previously recorded thermal niche of T. pseudonana, acclimating sub-cultured populations at each assay temperature for ~12 generations prior to the assay. Acclimation times ranged from ~10 d at near‐optimal temperatures to more than a month at 3°C. We estimated daily change in optical density using a spectrophotometer (see below). Assay times ranged from 4-14 d. We estimated per-capita growth rates by natural log-transforming densities and fitting a linear regression to the exponential portion of the growth curve.&lt;/p&gt; &lt;p&gt;We sampled daily during selection and assays by placing each entire tissue culture flask in a Shimadzu UV‐2401PC spectrophotometer (Shimadzu Corporation, Kyoto, Japan) and measuring absorbance at 436 nm (the wavelength corresponding to the absorbance maximum of chlorophyll a. Density data were log-transformed and linear regressions fit using R statistical programming language version 3.3.2.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;&lt;strong&gt;BCO-DMO Processing Notes:&lt;/strong&gt;&lt;br /&gt; - added conventional header with dataset name, PI name, version date&lt;br /&gt; - modified parameter names to conform with BCO-DMO naming conventions&lt;/p&gt; 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 Shimadzu UV‐2401PC spectrophotometer (Shimadzu Corporation, Kyoto, Japan) Shimadzu UV‐2401PC spectrophotometer (Shimadzu Corporation, Kyoto, Japan) PI Supplied Instrument Name: Shimadzu UV‐2401PC spectrophotometer (Shimadzu Corporation, Kyoto, Japan) PI Supplied Instrument Description:Measured Abs436 (the wave- length corresponding to the absorbance maximum of chlorophyll a.) Instrument Name: UV Spectrophotometer-Shimadzu Instrument Short Name:UV Spectrophotometer-Shimadzu Instrument Description: The Shimadzu UV Spectrophotometer is manufactured by Shimadzu Scientific Instruments (ssi.shimadzu.com). Shimadzu manufacturers several models of spectrophotometer; refer to dataset for make/model information. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB20/