http://lod.bco-dmo.org/id/dataset/968453 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 2025-07-14 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Differential effects of temperature on multiple components of fitness in a modular animal (Bugula neritina) reveal how temperature affects reproductive capacity 2025-07-16 publication 2025-07-16 revision Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA) 2025-07-30 publication https://doi.org/10.26008/1912/bco-dmo.968453.1 Scott Burgess Florida 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: Burgess, S., Powell, J. (2025) Differential effects of temperature on multiple components of fitness in a modular animal (Bugula neritina) reveal how temperature affects reproductive capacity. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-07-16 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.968453.1 [access date] Temperature effects on bryozoan growth and reproduction Dataset Description: Methods and Sampling: &lt;p&gt;Adult&amp;nbsp;B. neritina colonies were collected from 0.5 to 1.5 m in depths at Dog&amp;nbsp;Island, FL (29°49′42.0″ N 84°34′50.9″ W) on 8 June 2021. The experiment itself ran from June untill August, 2021.&amp;nbsp;&lt;/p&gt; &lt;p&gt;We generated 8–10 clones (fragments) from each of the 27 lab-grown genotypes to distribute across the temperature treatments. In total, there were 248 fragmented clones. Clonal fragments were cut from the tips of the 27 lab-grown genotypes after 23 days. All fragments were cut from tips showing signs of active growth. Each clonal fragment ranged in size from 11 to 124 zooids, with an average size of 54 ± 18 zooids (mean ± SD). Clonal fragments were reattached to ~40 × ~90 mm acetate pieces using non-toxic cyanoacrylate glue immediately after cutting. The fragments were glued at the base of the branch where they were cut so that the growing end was above and off the acetate strip. The clonal fragments grew at 23°C for 8 days to allow recovery (all survived). Following this 8-day period, the size of clonal fragments was measured as the number of zooids, and fragments were randomly distributed across temperature treatments with respect to their size. Although each source colony from which clonal fragments were cut was 23 days old, each fragment was younger since it was taken from the growing distal tips.&amp;nbsp;&lt;/p&gt; &lt;p&gt;To produce a thermal gradient, temperature was independently applied to 16 glass aquarium tanks (8 L tanks filled with 3 L of FSW) that were each placed in a water bath (plastic tub) filled with 5 L of reverse osmosis water up to the water line in the tank. Aquarium tanks in water baths were housed across two identical incubators (Percival I-36VL). Both incubators were set to 23°C (i.e. the lowest temperature) on a 13:11 h light:dark cycle. Within each incubator, there were eight tanks randomly allocated to one of four target temperatures: 23, 26, 29 or 32°C (i.e. two tanks per target temperature), covering temperatures experienced in the field during their reproductive period and when the experiment was conducted (Figure 1). Although there were four target temperatures, we used the realized temperature measured in each tank as a continuous variable in the analyses, so there were eight independent applications of temperature in each of the two incubators. Since this project was focused on the potential impacts of warming and reproduction, we chose to focus on the upper temperature range instead of the lower temperature range below which colonies do not reproduce.&amp;nbsp;&lt;/p&gt; &lt;p&gt;Genotypes could not be represented in every tank. Each tank accommodated a maximum of 18 colonies, but there were 27 genotypes. There were 16 tanks in total, but 16 clonal fragments could not be collected from each genotype. Therefore, 13 genotypes were randomly assigned to one incubator and the remaining 14 genotypes were assigned to the other incubator. One clonal fragment from each genotype was placed in each of the eight tanks in one incubator. Therefore, each genotype had at least two clones at each target temperature within an incubator. Colonies within tanks were spaced approximately 2–2.5 cm apart. In cases where there were more than eight clonal fragments for a genotype, the extra clonal fragments were randomly allocated to a tank in the incubator that the genotype was not assigned to. In total, there were 13–17 colonies placed in each tank, totalling 60–63 colonies assigned to each of the four target temperatures.&amp;nbsp;&lt;/p&gt; &lt;p&gt;Each water bath (aside from those for which 23°C was their target temperature) was heated using a 50-Watt aquarium heater (Hydor) connected to a digital temperature controller (Aqua Logic NEMA 4X, TR115SN). The temperature controllers were programmed to turn the aquarium heater on when the FSW temperature fell below 0.5°C of its target temperature. HOBO Tidbit V2 temperature loggers were placed in each tank to record the water temperature at 15-minute intervals. The realized temperature of each tank was calculated as the median temperature recorded by the loggers between the time that the colonies were placed into their treatments and the end of the experiment (30 days). Water changes for both the glass aquarium tank and water bath, as well as the replenishment of Rhodomonas salina algal food occurred every 3–4 days. Algal food was provided at a density of 100,000 cells/ml at each water change.&amp;nbsp;&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1948788 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1948788 completed Scott Burgess Florida State University 850-645-9563 Department of Biological Science 319 Stadium Drive Tallahassee FL 32308 USA sburgess@bio.fsu.edu pointOfContact asNeeded Dataset Version: 1 Unknown colony genotype fragment tankID target_temp realized_temp incubator date colony_age_days days_since_cutting days_since_being_put_into_treatment zooids_starting ovicells_count zooids_feeding zooids_regressed zooids_dead zooids_total Hydor Percival I-36VL HOBO Tidbit V2 temperature logger Aqua Logic NEMA 4X, TR115SN theme None, User defined sample identification temperature of sample or a generic measurement (not in-situ water temp) sample description date count featureType BCO-DMO Standard Parameters Aquarium chiller Incubator Onset HOBO TidbiT v2 (UTBI-001) temperature logger thermostat 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. Consequences of kin structure in benthic marine systems https://osprey.bco-dmo.org/project/837564 Consequences of kin structure in benthic marine systems <p><strong>NSF Award Abstract:</strong><br /> In marine systems, the production, dispersal, and recruitment of larvae are crucial processes that rebuild depleted adult stocks, facilitate changes in species geographic ranges, and modify the potential for adaptation under environmental stress. Traditionally, the tiny larvae of bottom-associated adults were thought to disperse far from their parents and from each other, making interactions among kin improbable. However, emerging evidence is challenging this view: larval dispersal does not always disrupt kin associations at settlement, and a large fraction of invertebrate diversity on the seafloor contains species in which most larvae disperse short distances. Limited dispersal increases the potential for interactions among kin, which has important consequences for individual fitness across many generations, and therefore the productivity of populations and the potential for adaptation. But when these consequences occur, and how exactly they manifest, remains largely unexplained. The key challenge now is to explain and predict when kin associations are likely to occur, and when they are likely to have positive or negative ecological consequences. Therefore, the key questions addressed by this research are: 1) how and when do kin associations arise and persist, and 2) what are the consequences of living with kin for survival, growth, and reproduction. This concept-driven research combines genomic approaches with experimental approaches in lab and field settings using an experimentally-tractable and representative invertebrate species. The project trains and mentors PhD students and a postdoctoral scholar at Florida State University (FSU). Field and laboratory activities are developed and incorporated into K–12 education programs and outreach opportunities at FSU.</p> <p>The spatial proximity of relatives has fundamentally important consequences at multiple levels of biological organization. These consequences are likely to be particularly important in a large range of benthic marine systems, where competition, facilitation, and mating depend strongly on the proximity and number of neighbors. However, explaining and predicting the occurrence, magnitude, and direction of such effects remains challenging. Emerging evidence suggest that the ecological consequences of kin structure are unlikely to have a straight-forward relationship with dispersal potential. Therefore, it is crucial to discover new reasons for when kinship structure occurs and why it could have positive, negative, or neutral ecological consequences. This research aims to provide a new understanding of how dispersal and post-settlement processes generate spatial kin structure, how population density and relatedness influence post-settlement fitness, and how the relatedness of mating partners influences the number and fitness of their offspring (inbreeding and outbreeding). The research combines genomic approaches, experimental progeny arrays, and manipulative experiments in field and lab settings to test several hypotheses that are broadly applicable across species. By focusing on an experimentally tractable species to test broadly applicable hypotheses, the project achieves generality and a level of integration that has been difficult to achieve in previous work.</p> Marine kin structure largerWorkCitation project eng; USA oceans 2021-06-01 2021-08-31 Gulf of Mexico 0 BCO-DMO catalogue of parameters from Differential effects of temperature on multiple components of fitness in a modular animal (Bugula neritina) reveal how temperature affects reproductive capacity 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/968507.rdf Name: colony Units: unitless Description: <p>Unique identifier for each colony</p> http://lod.bco-dmo.org/id/dataset-parameter/968508.rdf Name: genotype Units: unitless Description: <p>Identifier for each source colony genotype</p> http://lod.bco-dmo.org/id/dataset-parameter/968509.rdf Name: fragment Units: unitless Description: <p>Identifier for each fragment taken from a genotype</p> http://lod.bco-dmo.org/id/dataset-parameter/968510.rdf Name: tankID Units: unitless Description: <p>Unique identifier for the tank that was used as a water bath for bowls of algae. Also indicates the tanks’ target temperatures</p> http://lod.bco-dmo.org/id/dataset-parameter/968511.rdf Name: target_temp Units: degrees Celsius (°C) Description: <p>Temperature (°C) that tanks were assigned to reach</p> http://lod.bco-dmo.org/id/dataset-parameter/968512.rdf Name: realized_temp Units: degrees Celsius (°C) Description: <p>Median actualized temperature (°C) recorded by a temperature logger</p> http://lod.bco-dmo.org/id/dataset-parameter/968513.rdf Name: incubator Units: unitless Description: <p>L = left incubator; R = right incubator</p> http://lod.bco-dmo.org/id/dataset-parameter/968514.rdf Name: date Units: unitless Description: <p>Measurement date</p> http://lod.bco-dmo.org/id/dataset-parameter/968515.rdf Name: colony_age_days Units: unitless Description: <p>Colony age in days</p> http://lod.bco-dmo.org/id/dataset-parameter/968516.rdf Name: days_since_cutting Units: unitless Description: <p>Days since cutting</p> http://lod.bco-dmo.org/id/dataset-parameter/968517.rdf Name: days_since_being_put_into_treatment Units: unitless Description: <p>Days since being put into treatment</p> http://lod.bco-dmo.org/id/dataset-parameter/968518.rdf Name: zooids_starting Units: unitless Description: <p>Total number of zooids comprising a colony when placed into their treatment</p> http://lod.bco-dmo.org/id/dataset-parameter/968519.rdf Name: ovicells_count Units: unitless Description: <p>Number of ovicells</p> http://lod.bco-dmo.org/id/dataset-parameter/968520.rdf Name: zooids_feeding Units: unitless Description: <p>Number of zooids possessing a visible gut and lophophore tentacles inside the cystid</p> http://lod.bco-dmo.org/id/dataset-parameter/968521.rdf Name: zooids_regressed Units: unitless Description: <p>Number of zooids with visible signs of regression (brown bodies or tissue lacking lophophore tentacles)</p> http://lod.bco-dmo.org/id/dataset-parameter/968522.rdf Name: zooids_dead Units: unitless Description: <p>Cystids entirely lacking polypide tissue (visibly empty)</p> http://lod.bco-dmo.org/id/dataset-parameter/968523.rdf Name: zooids_total Units: unitless Description: <p>Total number of zooids comprising a colony after 30 days of being placed into their treatment</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 15953 https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/1078785c-0ce9-4fff-a4fe-e81302b6e1b8/content download https://doi.org/10.26008/1912/bco-dmo.968453.1 download onLine dataset &lt;p&gt;Adult&amp;nbsp;B. neritina colonies were collected from 0.5 to 1.5 m in depths at Dog&amp;nbsp;Island, FL (29°49′42.0″ N 84°34′50.9″ W) on 8 June 2021. The experiment itself ran from June untill August, 2021.&amp;nbsp;&lt;/p&gt; &lt;p&gt;We generated 8–10 clones (fragments) from each of the 27 lab-grown genotypes to distribute across the temperature treatments. In total, there were 248 fragmented clones. Clonal fragments were cut from the tips of the 27 lab-grown genotypes after 23 days. All fragments were cut from tips showing signs of active growth. Each clonal fragment ranged in size from 11 to 124 zooids, with an average size of 54 ± 18 zooids (mean ± SD). Clonal fragments were reattached to ~40 × ~90 mm acetate pieces using non-toxic cyanoacrylate glue immediately after cutting. The fragments were glued at the base of the branch where they were cut so that the growing end was above and off the acetate strip. The clonal fragments grew at 23°C for 8 days to allow recovery (all survived). Following this 8-day period, the size of clonal fragments was measured as the number of zooids, and fragments were randomly distributed across temperature treatments with respect to their size. Although each source colony from which clonal fragments were cut was 23 days old, each fragment was younger since it was taken from the growing distal tips.&amp;nbsp;&lt;/p&gt; &lt;p&gt;To produce a thermal gradient, temperature was independently applied to 16 glass aquarium tanks (8 L tanks filled with 3 L of FSW) that were each placed in a water bath (plastic tub) filled with 5 L of reverse osmosis water up to the water line in the tank. Aquarium tanks in water baths were housed across two identical incubators (Percival I-36VL). Both incubators were set to 23°C (i.e. the lowest temperature) on a 13:11 h light:dark cycle. Within each incubator, there were eight tanks randomly allocated to one of four target temperatures: 23, 26, 29 or 32°C (i.e. two tanks per target temperature), covering temperatures experienced in the field during their reproductive period and when the experiment was conducted (Figure 1). Although there were four target temperatures, we used the realized temperature measured in each tank as a continuous variable in the analyses, so there were eight independent applications of temperature in each of the two incubators. Since this project was focused on the potential impacts of warming and reproduction, we chose to focus on the upper temperature range instead of the lower temperature range below which colonies do not reproduce.&amp;nbsp;&lt;/p&gt; &lt;p&gt;Genotypes could not be represented in every tank. Each tank accommodated a maximum of 18 colonies, but there were 27 genotypes. There were 16 tanks in total, but 16 clonal fragments could not be collected from each genotype. Therefore, 13 genotypes were randomly assigned to one incubator and the remaining 14 genotypes were assigned to the other incubator. One clonal fragment from each genotype was placed in each of the eight tanks in one incubator. Therefore, each genotype had at least two clones at each target temperature within an incubator. Colonies within tanks were spaced approximately 2–2.5 cm apart. In cases where there were more than eight clonal fragments for a genotype, the extra clonal fragments were randomly allocated to a tank in the incubator that the genotype was not assigned to. In total, there were 13–17 colonies placed in each tank, totalling 60–63 colonies assigned to each of the four target temperatures.&amp;nbsp;&lt;/p&gt; &lt;p&gt;Each water bath (aside from those for which 23°C was their target temperature) was heated using a 50-Watt aquarium heater (Hydor) connected to a digital temperature controller (Aqua Logic NEMA 4X, TR115SN). The temperature controllers were programmed to turn the aquarium heater on when the FSW temperature fell below 0.5°C of its target temperature. HOBO Tidbit V2 temperature loggers were placed in each tank to record the water temperature at 15-minute intervals. The realized temperature of each tank was calculated as the median temperature recorded by the loggers between the time that the colonies were placed into their treatments and the end of the experiment (30 days). Water changes for both the glass aquarium tank and water bath, as well as the replenishment of Rhodomonas salina algal food occurred every 3–4 days. Algal food was provided at a density of 100,000 cells/ml at each water change.&amp;nbsp;&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;To estimate the effects of temperature on development rate, we assessed colonies for the presence or absence of ovicells at 7, 17, 21 and 30 days under a dissecting microscope, covering the range of age at maturity seen in the field (Burgess &amp;amp; Bueno, 2021). The presence of an ovicell is a key indicator of reproductive maturity since an ovicell is only formed after a mature egg is produced (Ostrovsky, 2013; Ström, 1977). After 30 days growing in the experimental temperatures, each colony was preserved in 70% EtOH. To assess colony survival, we recorded the number of zooids capable of feeding (visible polypide and lophophore), the number of zooids regressed (visible brown body) and the number of zooids dead (clear cystid without polypide), which, when summed, gives the total number of zooids. We also recorded the total number of ovicells in each colony to estimate reproductive capacity, since each ovicell broods a single embryo. We estimated the relative growth rate of each colony using the change in number of zooids (Z) over time (t). Relative growth&lt;br /&gt; rate is in units of zooids zooid−1 day−1.&lt;/p&gt; Specified by the Principal Investigator(s) * adjusted field names to comply with database requirements 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 Hydor Hydor PI Supplied Instrument Name: Hydor PI Supplied Instrument Description:50-Watt aquarium heater (Hydor)  Instrument Name: Aquarium chiller Instrument Short Name:Aquarium chiller Instrument Description: Immersible or in-line liquid cooling device, usually with temperature control. Percival I-36VL Percival I-36VL PI Supplied Instrument Name: Percival I-36VL PI Supplied Instrument Description:Incubators (Percival I-36VL) Instrument Name: Incubator Instrument Short Name:incubator (general) Instrument Description: A device in which environmental conditions (light, photoperiod, temperature, humidity, etc.) can be controlled. Note: we have more specific terms for shipboard incubators (https://www.bco-dmo.org/instrument/629001) and in-situ incubators (https://www.bco-dmo.org/instrument/494). HOBO Tidbit V2 temperature logger HOBO Tidbit V2 temperature logger PI Supplied Instrument Name: HOBO Tidbit V2 temperature logger Instrument Name: Onset HOBO TidbiT v2 (UTBI-001) temperature logger Instrument Short Name:HOBO TidBit v2 Instrument Description: A temperature logger that measures temperatures over a wide temperature range. It is designed for outdoor and underwater environments and is waterproof to 300 m. A solar radiation shield is required to obtain accurate air temperature measurements in sunlight (RS1 or M-RSA Solar Radiation Shield). With an operational temperature range between -20 degrees Celsius and +70 degrees Celsius, the TidbiT v2 has an accuracy of +/-0.21 and a resolution of 0.02 degrees Celsius. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/134/ Aqua Logic NEMA 4X, TR115SN Aqua Logic NEMA 4X, TR115SN PI Supplied Instrument Name: Aqua Logic NEMA 4X, TR115SN PI Supplied Instrument Description:Digital temperature controller (Aqua Logic NEMA 4X, TR115SN) Instrument Name: thermostat Instrument Short Name: Instrument Description: A device designed to regulate temperature by controlling the starting and stopping of a heating/cooling system.