http://lod.bco-dmo.org/id/dataset/846963 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 2021-03-29 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Temperature/light data collected using Onset HOBO Pendant data loggers at two sites in Massachusetts, USA in 2019 2021-04-01 publication 2021-04-01 revision Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA) 2021-04-01 publication https://doi.org/10.26008/1912/bco-dmo.846963.1 A. Randall Hughes 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: Hughes, A. R. (2021) Temperature/light data collected using Onset HOBO Pendant data loggers at two sites in Massachusetts, USA in 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-04-01 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.846963.1 [access date] Temperature/light data collected from two sites in MA in 2019 Dataset Description: Methods and Sampling: &lt;p&gt;We deployed three Onset HOBO Pendant® Waterproof Temperature/Light Data Loggers in both the shallow and deep zone at each site. The two sites were West Beach in Beverly (N 42.55921, W 70.80578) and Curlew Beach in Nahant (N 42.42009, W 70.91553). The shallow and deep zones were defined as being along the respective edges of the eelgrass beds. The exact depths of the zones varied from bed to bed.&lt;/p&gt; &lt;p&gt;Each logger was changed once over the course of the dataset. Loggers were deployed on May 14 and swapped out on June 26 at Curlew Beach and deployed on May 15 and swapped out on June 27 at West Beach.&lt;/p&gt; Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1851043 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1851043 completed A. Randall Hughes Northeastern University 781-581-7370 430 Nahant Rd. Nahant MA 01908 USA ann.hughes@northeastern.edu pointOfContact asNeeded Dataset Version: 1 Unknown Date Week Temp1 Intensity1 Temp2 Intensity2 Temp3 Intensity3 Avg_Temp Avg_Intensity Site Depth Onset HOBO Pendant® Waterproof Temperature/Light Data Loggers theme None, User defined date time_point water temperature at measurement depth light intensity site site description featureType BCO-DMO Standard Parameters Onset HOBO Pendant Temperature/Light Data Logger 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. RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina https://osprey.bco-dmo.org/project/792405 RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina <p><em>NSF Award Abstract:</em><br /> Understanding how species cope with spatial variation in their environment (e.g. gradients in light and temperature) is necessary for informed management as well as for predicting how they may respond to change. This project will examine how key traits vary with depth in common eelgrass (Zostera marina), one of the most important foundation species in temperate nearshore ecosystems worldwide. The investigators will use a combination of experiments in the field and lab, paired with fine-scale molecular analyses, to determine the genetic and environmental components of seagrass trait variation. This work will provide important information on the microevolutionary mechanisms that allow a foundation species to persist in a variable environment, and thus to drive the ecological function of whole nearshore communities. The Northeastern University graduate and Keene State College (KSC) undergraduate students supported by this project will receive training in state-of-the-art molecular techniques, as well as mentorship and experience in scientific communication and outreach. A significant portion of KSC students are from groups under-represented in science. Key findings of the research will be incorporated into undergraduate courses and outreach programs for high school students from under-represented groups, and presented at local and national meetings of scientists and stakeholders.</p> <p>Local adaptation, the superior performance of "home" versus "foreign" genotypes in a local environment, is a powerful demonstration of how natural selection can overcome gene flow and drift to shape phenotypes to match their environment. The classic test for local adaptation is a reciprocal transplant. However, such experiments often fail to capture critical aspects of the immigration process that may mediate realized gene flow in natural systems. For example, reciprocal transplant experiments typically test local and non-local phenotypes at the same (often adult) life history stage, and at the same abundance or density, which does not mirror how dispersal actually occurs for most species. In real populations, migrants (non-local) often arrive at low numbers compared to residents (local), and relative frequency itself can impact fitness. In particular, rare phenotypes may experience reduced competition for resources, or relative release from specialized pathogens. Such negative frequency dependent selection can reduce fitness differences between migrants and residents due to local adaptation, and magnify effective gene flow, thus maintaining greater within-population genetic diversity. The investigators will combine spatially paired sampling and fine-scale molecular analyses to link seed/seedling trait variation across the depth gradient at six meadows to key factors that may drive these patterns: local environmental conditions, population demography, and gene flow across depths. The team will then experimentally test the outcome of cross-gradient dispersal in an ecologically relevant context, by reciprocally out-planting seeds from different depths and manipulating relative frequency in relation to both adults and other seedling lineages. The possible interaction between local adaptation and frequency-dependence is particularly relevant for Zostera marina, which represents one of the best documented examples of the ecological effects of genetic diversity and identity. Further, a better understanding of seagrass trait differentiation is not simply a matter of academic interest, but critical to successful seagrass restoration and conservation.</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> ZosMarLA largerWorkCitation project eng; USA oceans -70.91553 -70.80578 42.42009 42.55921 2019-05-13 2019-08-22 Massachusetts, USA 0 BCO-DMO catalogue of parameters from Temperature/light data collected using Onset HOBO Pendant data loggers at two sites in Massachusetts, USA in 2019 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/847158.rdf Name: Date Units: unitless Description: <p>The date that a data point was taken; format: YYYY-MM-DD</p> http://lod.bco-dmo.org/id/dataset-parameter/847159.rdf Name: Week Units: unitless Description: <p>The week of data collection (corresponding with our field surveys)</p> http://lod.bco-dmo.org/id/dataset-parameter/847160.rdf Name: Temp1 Units: degrees Celsius Description: <p>Temperature data from the first HOBO logger.</p> http://lod.bco-dmo.org/id/dataset-parameter/847161.rdf Name: Intensity1 Units: lux Description: <p>Light data from the first HOBO logger.</p> http://lod.bco-dmo.org/id/dataset-parameter/847162.rdf Name: Temp2 Units: degrees Celsius Description: <p>Temperature data from the second HOBO logger.</p> http://lod.bco-dmo.org/id/dataset-parameter/847163.rdf Name: Intensity2 Units: lux Description: <p>Light data from the second HOBO logger.</p> http://lod.bco-dmo.org/id/dataset-parameter/847164.rdf Name: Temp3 Units: degrees Celsius Description: <p>Temperature data from the third HOBO logger.</p> http://lod.bco-dmo.org/id/dataset-parameter/847165.rdf Name: Intensity3 Units: lux Description: <p>Light data from the third HOBO logger.</p> http://lod.bco-dmo.org/id/dataset-parameter/847166.rdf Name: Avg_Temp Units: degrees Celsius Description: <p>The average of Temp 1, 2, and 3.</p> http://lod.bco-dmo.org/id/dataset-parameter/847167.rdf Name: Avg_Intensity Units: lux Description: <p>The average of Intensity 1, 2, and 3.</p> http://lod.bco-dmo.org/id/dataset-parameter/847168.rdf Name: Site Units: unitless Description: <p>The site of data collection. Either West (West Beach, Beverly, MA) or Dorothy (Curlew Beach, Nahant, MA).</p> http://lod.bco-dmo.org/id/dataset-parameter/847169.rdf Name: Depth Units: unitless Description: <p>SH (shallow zone) or DP (deep zone).</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 6136916 https://darchive.mblwhoilibrary.org/bitstream/1912/26899/1/dataset-846963_temperature-and-light__v1.tsv download https://doi.org/10.26008/1912/bco-dmo.846963.1 download onLine dataset &lt;p&gt;We deployed three Onset HOBO Pendant® Waterproof Temperature/Light Data Loggers in both the shallow and deep zone at each site. The two sites were West Beach in Beverly (N 42.55921, W 70.80578) and Curlew Beach in Nahant (N 42.42009, W 70.91553). The shallow and deep zones were defined as being along the respective edges of the eelgrass beds. The exact depths of the zones varied from bed to bed.&lt;/p&gt; &lt;p&gt;Each logger was changed once over the course of the dataset. Loggers were deployed on May 14 and swapped out on June 26 at Curlew Beach and deployed on May 15 and swapped out on June 27 at West Beach.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;Data Processing:&lt;br /&gt; Light and temperature data from Curlew Beach and West Beach were analyzed separately using a linear regression with site, depth, and time (week) as fixed effects and including all possible interactions. Both data sets were analyzed using daily averages taken from May 13th through August 20th for Curlew Beach, and through August 22nd for West Beach.&lt;/p&gt; &lt;p&gt;Statistical analyses were conducted using R Statistical Software v. 3.6.0 (R Core Team 224 2019). Linear models were done using the lme4 and lmerTest packages (Bates et al. 2015; Kuznetsova et al. 2017). We used a significance level of α = 0.05 for all of our analyses.&lt;/p&gt; &lt;p&gt;BCO-DMO Processing:&lt;br /&gt; - changed date format to YYYY-MM-DD;&lt;br /&gt; - renamed fields 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 Onset HOBO Pendant® Waterproof Temperature/Light Data Loggers Onset HOBO Pendant® Waterproof Temperature/Light Data Loggers PI Supplied Instrument Name: Onset HOBO Pendant® Waterproof Temperature/Light Data Loggers Instrument Name: Onset HOBO Pendant Temperature/Light Data Logger Instrument Short Name:Onset HOBO Pendant Temp/Light Instrument Description: The Onset HOBO (model numbers UA-002-64 or UA-001-64) is an in-situ instrument for wet or underwater applications. It supports light intensity, soil temperature, temperature, and water temperature. A two-channel logger with 10-bit resolution can record up to approximately 28,000 combined temperature and light measurements with 64K bytes memory. It has a polypropylene housing case. Uses an optical USB to transmit data. A solar radiation shield is used for measurement in sunlight. Temperature measurement range: -20 deg C to 70 deg C (temperature). Light measurement range: 0 to 320,000 lux. Temperature accuracy: +/- 0.53 deg C from 0 deg C to 50 deg C. Light accuracy: Designed for measurement of relative light levels. Water depth rating: 30 m.