http://lod.bco-dmo.org/id/dataset/953492 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 2025-02-14 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Time series of T. suecica densities under fluctuating temperatures experiment from May 2023 to Aug 2023 2025-02-21 publication 2025-02-21 revision Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA) 2025-02-24 publication https://doi.org/10.26008/1912/bco-dmo.953492.1 Tarik C. Gouhier Northeastern University principalInvestigator Brian Helmuth Northeastern 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: Gouhier, T. C., Helmuth, B. (2025) Time series of T. suecica densities under fluctuating temperatures experiment from May 2023 to Aug 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-02-21 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.953492.1 [access date] Lab experimental time series of T. suecica densities under fluctuating temperatures Dataset Description: Methods and Sampling: &lt;p&gt;&lt;strong&gt;Organism and Culturing&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;em&gt;Tetraselmis suecica&lt;/em&gt;&amp;nbsp;(UTEX LB 2286) was cultured in 250 mL Erlenmeyer flasks containing sterilized natural seawater. We used natural seawater as artificial seawater such as Instant Ocean has been shown to sometimes affect experimental outcomes&amp;nbsp;(Pechenik et al. 2019). Seawater was sterilized using vacuum filtration to remove particulate matter and sediment, and subsequently autoclaved at 121ºC for 60 minutes. Non-experimental lineages were created at least every 10 days, and Micro Algae Grow nutrient media (Florida Aqua Farms Inc., Dade City, FL) was added every day beginning on day 0 to prevent nutrient limitation. These cultures were used to seed the experiments. Stock cultures were maintained in Darwin environmental chambers (Darwin Chambers Company, St. Louis, MO) at a constant temperature of 20ºC under continuous light provided by LED light strips. Stock cultures were gently swirled for 10 seconds daily to ensure homogeneity and proper aeration.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Experimental Setup&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;The experimental design involved acclimating cultures to eight different base temperatures (10ºC, 15ºC, 18ºC, 20ºC, 25ºC, 28ºC, 30ºC, 35ºC) over the course of 5 days in a Darwin environmental chamber. At the beginning of the experiment, cultures were placed on Peltier devices (Adafruit, New York, NY) housed in plastic egg-crate cages to prevent spillage. White LED strip lights were fastened inside the cages. Light was measured using a PAR sensor to verify that each cage was receiving at least 150 µmol m&lt;sup&gt;-2&amp;nbsp;&lt;/sup&gt;s&lt;sup&gt;-2&lt;/sup&gt;&amp;nbsp;(saturating irradiance (Bernhardt et al., 2018), and under 200 µmol m&lt;sup&gt;-2&amp;nbsp;&lt;/sup&gt;s&lt;sup&gt;-2&amp;nbsp;&lt;/sup&gt;to maintain consistent light conditions between cages.&amp;nbsp;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Temperature Control and Manipulation&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;To control temperature during the experiment, we used TEC (thermoelectric cooling) Controllers (Meerstetter Engineering, Rubigen, Switzerland) to control the Peltier devices. Cultures were exposed to one of 5 fluctuating temperature treatments +/- 5ºC around the base temperature, or the constant temperature (n=18 per base temperature, n=3 per treatment within each base temperature).&amp;nbsp;The five fluctuating temperature treatments for each mean temperature were characterized by the following frequencies: (i) frequency of 1 or period of 144 hours, (ii) frequency of 3 or period of 48 hours, (iii) frequency of 6 or period of 24 hours, (iv) frequency of 18 or period of 8 hours, and (v) frequency of 24 or period of 6 hours.&lt;/p&gt; &lt;p&gt;In order to ensure that cultures were in the exponential growth phase for the duration of the experiment, we used cultures at a known concentration of between 1,000,000 and 2,000,000 cells/mL on Day 1 of the experiment. To achieve this, we inoculated cultures the previous week at a lower concentration (i.e. 25,000 cells/mL) such that they would reach 1,000,000 by the end of their pre-experimental acclimation period. This lower concentration depended on the temperature to which they were being acclimated, as cultures further away from their T&lt;sub&gt;OPT&lt;/sub&gt;&amp;nbsp;would grow more slowly.&lt;/p&gt; &lt;p&gt;Cells were counted daily for each of the five days using a Beckman Coulter Z2 Particle Counter (Beckman Coulter, Indianapolis, IN) set to count particles between 5–16 µm. This size range was experimentally determined by photographing cells on a Hemacytometer and analyzing size with ImageJ (version&amp;nbsp;1.54). Samples were diluted in ISOTON II Diluent (Beckman Coulter, Indianapolis, IN), with a dilution factor such that cell counts ranged from 10,000 to 200,000 before factoring in a dilution factor. Three samples were taken per culture, and three counts were run on each sample to ensure consistency.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2048894 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2048894 completed Tarik C. Gouhier Northeastern University 781-581-7370 ext. 302 Marine Science Center 430 Nahant Road Nahant MA 01908 USA t.gouhier@northeastern.edu pointOfContact Brian Helmuth Northeastern University 781-581-7370 Northeastern University Marine Science Center 430 Nahant Road Nahant MA 01908 USA b.helmuth@northeastern.edu pointOfContact asNeeded Dataset Version: 1 Unknown full_ID measurement_datetime days_since_start temperature treatment replicate count_replicate final_count Darwin environmental chambers Beckman Coulter Z2 Particle Counter Hemacytometer PAR sensor vacuum filtration theme None, User defined experiment id ISO_DateTime_UTC time_elapsed incubation or cultivation temperature (not ambient water temp) treatment replicate cell_concentration featureType BCO-DMO Standard Parameters Algal Growth Chamber Coulter Counter Hemocytometer Photosynthetically Available Radiation Sensor water filtration device 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. A novel time-structured framework to account for the cryptic effects of temperature fluctuations on population dynamics https://osprey.bco-dmo.org/project/856335 A novel time-structured framework to account for the cryptic effects of temperature fluctuations on population dynamics <p><em>NSF Award Abstract:</em><br /> Although it is well established that temperature extremes associated with heatwaves or cold snaps can have strong and immediate impacts on biological populations, much less is known about the longer-term effects of these short-term events. The investigators are filling this critical knowledge gap by conducting a series of laboratory experiments and developing a new set of mathematical models to identify how temperature fluctuations influence population growth and size. Additionally, the mathematical models are being extended to generate a baseline understanding of how changes in temperature anticipated under global climate change will likely affect populations around the globe over the course of the 21st century. This project addresses important societal needs by cross-training graduate students in biology, statistics, mathematical modeling, and computer programming. The results of this research are being integrated into undergraduate courses in biostatistics, mathematical modeling, and environmental science in order to demonstrate the importance of quantitative and interdisciplinary STEM training for addressing important questions in biology. Finally, multiple interactive web modules are being created to disseminate the results of this research beyond academic circles, including Northeastern University’s K-12 outreach programs.</p> <p>Current empirical and theoretical approaches do not account for the cryptic population structure that emerges when organisms are exposed to variable temperature regimes. The investigators are addressing this limitation by using marine algae as a model system to (i) establish an empirical protocol for properly evaluating the effects of temperature variability on population growth, (ii) develop a novel mathematical modeling framework for accurately predicting the dynamics of populations exposed to temperature fluctuations, and (iii) determine species extinction risk under future ocean temperatures. Overall, this project is expected to yield a new set of empirical and theoretical tools to better forecast the biological effects of environmental change.</p> <p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p> Time Structured Modeling largerWorkCitation project eng; USA biota oceans 2023-05-23 2023-08-18 0 BCO-DMO catalogue of parameters from Time series of T. suecica densities under fluctuating temperatures experiment from May 2023 to Aug 2023 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/953910.rdf Name: full_ID Units: unitless Description: <p>ID of each row based on mean temperature, treatment, replicate ID, and technical replicate number</p> http://lod.bco-dmo.org/id/dataset-parameter/953911.rdf Name: measurement_datetime Units: unitless Description: <p>The date and time of the density measurements</p> http://lod.bco-dmo.org/id/dataset-parameter/953912.rdf Name: days_since_start Units: days Description: <p>Number of days since the start of each growth experiment</p> http://lod.bco-dmo.org/id/dataset-parameter/953913.rdf Name: temperature Units: degrees Celsius Description: <p>Mean temperature</p> http://lod.bco-dmo.org/id/dataset-parameter/953914.rdf Name: treatment Units: unitless Description: <p>Frequency of fluctuations (F1 = frequency of 1 or period of 144 hours; F3 = frequency of 3 or period of 48 hours; F6 = frequency of 6 or period of 24 hours; F18 = frequency of 18 or period of 8 hours; F24 = frequency of 24 or period of 6 hours; CON = constant temperature)</p> http://lod.bco-dmo.org/id/dataset-parameter/953915.rdf Name: replicate Units: unitless Description: <p>Experimental replicate ID (A, B, or C)</p> http://lod.bco-dmo.org/id/dataset-parameter/953916.rdf Name: count_replicate Units: unitless Description: <p>(Technical) replicate count for each unique experimental replicate (i, ii, or iii)</p> http://lod.bco-dmo.org/id/dataset-parameter/953917.rdf Name: final_count Units: cells/mL Description: <p>Number of T. suecica cells per mL</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 83015 https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/dc3da84e-c137-4b98-a7cd-b2516f5dd321/content download https://doi.org/10.26008/1912/bco-dmo.953492.1 download onLine dataset &lt;p&gt;&lt;strong&gt;Organism and Culturing&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;&lt;em&gt;Tetraselmis suecica&lt;/em&gt;&amp;nbsp;(UTEX LB 2286) was cultured in 250 mL Erlenmeyer flasks containing sterilized natural seawater. We used natural seawater as artificial seawater such as Instant Ocean has been shown to sometimes affect experimental outcomes&amp;nbsp;(Pechenik et al. 2019). Seawater was sterilized using vacuum filtration to remove particulate matter and sediment, and subsequently autoclaved at 121ºC for 60 minutes. Non-experimental lineages were created at least every 10 days, and Micro Algae Grow nutrient media (Florida Aqua Farms Inc., Dade City, FL) was added every day beginning on day 0 to prevent nutrient limitation. These cultures were used to seed the experiments. Stock cultures were maintained in Darwin environmental chambers (Darwin Chambers Company, St. Louis, MO) at a constant temperature of 20ºC under continuous light provided by LED light strips. Stock cultures were gently swirled for 10 seconds daily to ensure homogeneity and proper aeration.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Experimental Setup&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;The experimental design involved acclimating cultures to eight different base temperatures (10ºC, 15ºC, 18ºC, 20ºC, 25ºC, 28ºC, 30ºC, 35ºC) over the course of 5 days in a Darwin environmental chamber. At the beginning of the experiment, cultures were placed on Peltier devices (Adafruit, New York, NY) housed in plastic egg-crate cages to prevent spillage. White LED strip lights were fastened inside the cages. Light was measured using a PAR sensor to verify that each cage was receiving at least 150 µmol m&lt;sup&gt;-2&amp;nbsp;&lt;/sup&gt;s&lt;sup&gt;-2&lt;/sup&gt;&amp;nbsp;(saturating irradiance (Bernhardt et al., 2018), and under 200 µmol m&lt;sup&gt;-2&amp;nbsp;&lt;/sup&gt;s&lt;sup&gt;-2&amp;nbsp;&lt;/sup&gt;to maintain consistent light conditions between cages.&amp;nbsp;&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Temperature Control and Manipulation&lt;/strong&gt;&lt;/p&gt; &lt;p&gt;To control temperature during the experiment, we used TEC (thermoelectric cooling) Controllers (Meerstetter Engineering, Rubigen, Switzerland) to control the Peltier devices. Cultures were exposed to one of 5 fluctuating temperature treatments +/- 5ºC around the base temperature, or the constant temperature (n=18 per base temperature, n=3 per treatment within each base temperature).&amp;nbsp;The five fluctuating temperature treatments for each mean temperature were characterized by the following frequencies: (i) frequency of 1 or period of 144 hours, (ii) frequency of 3 or period of 48 hours, (iii) frequency of 6 or period of 24 hours, (iv) frequency of 18 or period of 8 hours, and (v) frequency of 24 or period of 6 hours.&lt;/p&gt; &lt;p&gt;In order to ensure that cultures were in the exponential growth phase for the duration of the experiment, we used cultures at a known concentration of between 1,000,000 and 2,000,000 cells/mL on Day 1 of the experiment. To achieve this, we inoculated cultures the previous week at a lower concentration (i.e. 25,000 cells/mL) such that they would reach 1,000,000 by the end of their pre-experimental acclimation period. This lower concentration depended on the temperature to which they were being acclimated, as cultures further away from their T&lt;sub&gt;OPT&lt;/sub&gt;&amp;nbsp;would grow more slowly.&lt;/p&gt; &lt;p&gt;Cells were counted daily for each of the five days using a Beckman Coulter Z2 Particle Counter (Beckman Coulter, Indianapolis, IN) set to count particles between 5–16 µm. This size range was experimentally determined by photographing cells on a Hemacytometer and analyzing size with ImageJ (version&amp;nbsp;1.54). Samples were diluted in ISOTON II Diluent (Beckman Coulter, Indianapolis, IN), with a dilution factor such that cell counts ranged from 10,000 to 200,000 before factoring in a dilution factor. Three samples were taken per culture, and three counts were run on each sample to ensure consistency.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;The raw data are provided (no processing performed).&lt;/p&gt; Specified by the Principal Investigator(s) - Imported &quot;experimental_data.csv&quot; into BCO-DMO system - Converted datetime to ISO format (added 'T' between the date and time) and converted to UTC - Renamed &quot;full_date&quot; to &quot;measurement_datetime&quot; - Exported file as &quot;953492_v1_tsuecica_exp.csv&quot; Specified by BCO-DMO Data Managers 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 Darwin environmental chambers Darwin environmental chambers PI Supplied Instrument Name: Darwin environmental chambers PI Supplied Instrument Description:Stock cultures were maintained in Darwin environmental chambers (Darwin Chambers Company, St. Louis, MO) at a constant temperature of 20ºC under continuous light provided by LED light strips. Instrument Name: Algal Growth Chamber Instrument Short Name: Instrument Description: A chamber specifically designed for the growth of algae in flasks. The chamber typically provides controlled temperature, humidity, and light conditions. Beckman Coulter Z2 Particle Counter Beckman Coulter Z2 Particle Counter PI Supplied Instrument Name: Beckman Coulter Z2 Particle Counter PI Supplied Instrument Description:Cells were counted daily for each of the five days using a Beckman Coulter Z2 Particle Counter (Beckman Coulter, Indianapolis, IN) set to count particles between 5µm - 16 µm.  Instrument Name: Coulter Counter Instrument Short Name: Instrument Description: An apparatus for counting and sizing particles suspended in electrolytes. It is used for cells, bacteria, prokaryotic cells and virus particles. A typical Coulter counter has one or more microchannels that separate two chambers containing electrolyte solutions. from https://en.wikipedia.org/wiki/Coulter_counter Hemacytometer Hemacytometer PI Supplied Instrument Name: Hemacytometer PI Supplied Instrument Description:This size range was experimentally determined by photographing cells on a Hemacytometer and analyzing size with ImageJ.  Instrument Name: Hemocytometer Instrument Short Name:Hemocytometer Instrument Description: A hemocytometer is a small glass chamber, resembling a thick microscope slide, used for determining the number of cells per unit volume of a suspension. Originally used for performing blood cell counts, a hemocytometer can be used to count a variety of cell types in the laboratory. Also spelled as "haemocytometer". Description from: http://hlsweb.dmu.ac.uk/ahs/elearning/RITA/Haem1/Haem1.html. PAR sensor PAR sensor PI Supplied Instrument Name: PAR sensor PI Supplied Instrument Description:Light was measured using a PAR sensor to verify that each cage was receiving at least 150 µmol m-2 s-2 (saturating irradiance (Bernhardt et al, 2018), and under 200 µmol m-2 s-2 to maintain consistent light conditions between cages.  Instrument Name: Photosynthetically Available Radiation Sensor Instrument Short Name:PAR sensor Instrument Description: A PAR sensor measures photosynthetically available (or active) radiation. The sensor measures photon flux density (photons per second per square meter) within the visible wavelength range (typically 400 to 700 nanometers). PAR gives an indication of the total energy available to plants for photosynthesis. This instrument name is used when specific type, make and model are not known. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/122/ vacuum filtration vacuum filtration PI Supplied Instrument Name: vacuum filtration PI Supplied Instrument Description:Seawater was sterilized using vacuum filtration to remove particulate matter and sediment, and subsequently autoclaved at 121ºC for 60 minutes. Instrument Name: water filtration device Instrument Short Name: Instrument Description: A manufactured device which is used to remove contaminants from water impeding the flow of particles or solutes.