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90 results for “PLOS”
MCR LTER: Coral Reef: Farmerfish gardens help buffer stony corals against marine heat waves, data for Honeycutt et al., PLOS One 2023
These data were generated in support of the manuscript: Honeycutt RC, Holbrook SJ, Brooks, AJ, and RJ Schmitt, PLOS One In Moorea, French Polynesia, we evaluated the response and fate of stony coral following a major thermal stress event in 2019 that caused a substantial amount of branching coral (dominantly Pocillopora) to bleach and die. We investigated whether Pocillopora colonies that occurred within territorial gardens protected by the farmerfish Stegastes nigricans were less susceptible to or survived bleaching better than Pocillopora on adjacent, undefended substrate. Bleaching prevalence and severity, which were quantified for >1,100 colonies shortly after they bleached, did not differ between colonies within or outside of defended gardens. By contrast, 399 focal colonies followed for one year revealed that a bleached coral within a garden was a third less likely to suffer complete colony death and, for survivors, about twice as likely to recover to its pre-bleaching cover of living tissue compared to Pocillopora outside of a farmerfish garden. Our findings indicate that while residing in a farmerfish garden may not reduce the bleaching susceptibility of a coral during thermal stress, it does help buffer a bleached coral against severe outcomes. This oasis effect of farmerfish gardens, where survival and recovery of thermally-damaged corals are enhanced, is another mechanism that helps explain why large Pocillopora colonies are far more abundant in farmerfish territories than elsewhere in the lagoons of Moorea, despite gardens being much less common. As such, farmerfish may have a growing role in maintaining the resilience of branching corals as the frequency and intensity of marine heat waves continue to increase. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued
Data for manuscript Marmet, Studer, Lemoine, Grazioli, Bertholet & Gmel (2019). Reconsidering the associations between self-reported alcohol use disorder and mental health problems in the light of co-occurring addictions in young Swiss men. Plos One. DOI: 10.1371/journal.pone.0222806.
<p>Dataset for the manuscript Marmet, Studer, Lemoine, Grazioli, Bertholet & Gmel (2019). Reconsidering the associations between self-reported alcohol use disorder and mental health problems in the light of co-occurring addictions in young Swiss men. Plos One. DOI: 10.1371/journal.pone.0222806.</p> <p>The dataset contains all data needed to reproduce the results in the above cited manuscript. Variable description and labels can be found in the codebook. For further information on the instruments used please refer to the manuscript.</p> <p>The data was collected between April 2016 and March 2018 in Switzerland by the C-SURF study (<a href="http://www.c-surf.ch">www.c-surf.ch</a>). Participants were on average 25 years old when they answered the questionnaires. The final sample size used in the manuscript is 5516. Please note that the dataset contains 25 datasets created with multiple imputation, therefore there are no missing values in the dataset.</p> <p>The research protocol for this study was approved by the Human Research Ethics Committee of the Canton Vaud (Protocol No. 15/07). Data collection was funded by the Swiss National Science Foundation (FN 33CSC0-122679, FN 33CS30_139467, FN 33CS30_148493)</p>
Dataset for the manuscript Marmet, Wicki, Gmel, Gachoud, Daeppen, Bertholet, Studer (2021). The psychological impact of the COVID-19 crisis is higher among young Swiss men with a lower socioeconomic status: evidence from a cohort study. Plos One. DOI:10.1371/journal.pone.0255050
<p>Dataset for the manuscript Marmet, Wicki, Gmel, Gachoud, Daeppen, Bertholet, Studer (2021). The psychological impact of the COVID-19 crisis is higher among young Swiss men with a lower socioeconomic status: evidence from a cohort study. Plos One DOI:10.1371/journal.pone.0255050</p> <p>The dataset contains all data needed to reproduce the results in the above cited manuscript. Variable description and labels can be found in the codebook. For further information on the instruments used please refer to the manuscript.</p> <p> </p>
Data for the paper Lemoine, Gmel, Foster, Marmet, Studer (2020). Multiple trajectories of alcohol use and the development of alcohol use disorder: do Swiss men mature-out of problematic alcohol use during emerging adulthood? Plos One. https://doi.org/10.1371/journal.pone.0220232
<p>Data for the paper Lemoine, Gmel, Foster, Marmet, Studer (2020). Multiple trajectories of alcohol use and the development of alcohol use disorder: do Swiss men mature-out of problematic alcohol use during emerging adulthood?</p> <p>Plos One. <a href="https://doi.org/10.1371/journal.pone.0220232">https://doi.org/10.1371/journal.pone.0220232</a></p> <p>Please refer to the paper for further information about the data.</p> <p> </p> <p>The dataset contains all data needed to reproduce the results in the above cited paper. Variable description and labels can be found in the codebook. For further information on the instruments used please refer to the paper.</p> <p>The dataset contains data for three waves that was collected between September 2010 and March 2018 in Switzerland by the C-SURF study (<a href="http://www.c-surf.ch/">www.c-surf.ch</a>). Participants were on average 20 years old at wave 1, 21 at wave 2 and 25 at wave 3 when they answered the questionnaires. The final sample size used in the paper is 4746 after excluding those that did not reply to a questionnaire or to a variable of interest for the main analysis.</p> <p>The research protocol for this study was approved by the Human Research Ethics Committee of the Canton Vaud (Protocol No. 15/07). Data collection was funded by the Swiss National Science Foundation (FN 33CSC0-122679, FN 33CS30_139467, FN 33CS30_148493).</p>
Preprint Citations in PLOS Dataset
<p>Preprints are research articles that have been published online before undergoing peer review. The role of preprints in the scientific production has been growing in recent years. Our objective is to study these practices and evaluate the differences that exist between citations to preprints and citations to peer-reviewed articles.</p> <p>This dataset contains citation contexts to preprints extracted from the PLOS dataset. We have processed all PLOS articles published up to January 2021. Preprint citations were identified by matching cited source metadata against a list of existing preprint databases. For each citation we have extracted the sentence and its position in the IMRaD structure of the article.</p> <p>The data is presented in a tsv file that contains the following columns :</p> <ul> <li>id: identifier.</li> <li>source_name: name of the preprint database where the preprint is published. In some cases source_name is "preprint kw" which means that it has been identified by the presence of the "preprint" keyword in the source metadata, but could not be linked to a known preprint database.</li> <li>jtitle: title of the PLOS journal from which the citation context is extracted.</li> <li>imrad_code: one of "I", "M", "R", "D", indicating the name of the section of the citation context in the IMRaD (Introduction, Methods, Results and Discussion) structure.</li> <li>perc: a number between 0 and 100, indicating the position of the citation context in terms of percentage of the text progression of the section in which it appears. This position has been calculated by dividing the number of the sentence of the citation context by the total number of sentences in the section.</li> <li>pub_year: publication year of the article</li> <li>sentence_text: sentence containing the citation to the preprint.</li> </ul> <p>The full description of the dataset and the processing steps to obtain it are described in:</p> <p>Bertin, Marc and Atanassova, Iana (2022). "Preprint Citation Praxis in PLOS". Scientometrics.</p>
Data from: Andriollo T., Gillet F., Michaux J.R., Ruedi M. (2019). The menu varies with metabarcoding practices: A case study with the bat Plecotus auritus. PLoS ONE 14(7)
<p><strong>Supporting data for: </strong>Andriollo T., Gillet F., Michaux J.R., Ruedi M. (2019). The menu varies with metabarcoding practices: a case study with the bat <em>Plecotus auritus</em>. PLoS ONE 14(7): e0219135. https://doi.org/10.1371/journal.pone.0219135</p> <p>Raw DNA sequences of prey of <em>Plecotus auritus</em>. Sampling information separated by semicolums as folows:</p> <p>>Sequence number; Colony; Date; Sample name; Dataset; Is the sequence attributable to the diet or not (Diet); Read numbers (Size); DNA sequence</p>
PLOS Open Science Indicators & Zotero Romania Metadata
<p>Matched metadata from PLOS Open Science Indicators and Zotero export</p>
Baltimore Ecosystem Study: Household Telephone Survey in support of Locke et al 2019 in PLoS One
This is a subset of the data found in Grove and Locke (2018), to be included with: Locke, D.H., Polsky, C., Grove, J. M., Groffman, P. M., Nelson, K.C., Larson, K. L., Cavender-Bares, J., Heffernan, J. B., Roy Chowdhury, R., Hobbie, S. E., Bettez, N., Neill, C., Ogden, L.A., O’Neil-Dunne, J. P. M.. [accepted]. Heterogeneity of practice underlies the homogeneity of ecological outcomes of United States yard care in metropolitan regions, neighborhoods and households. PLoS ONE doi:10.1371/journal.pone.0222630 These data contain answers 2011 survey questions: In the past year, which of the following has been applied to any part of your yard: Water for irrigating grass, plants, or trees? Fertilizers? Pesticides to get rid of weeds or pests? The total household annual income (8 ordinal categories), age of respondent (5 ordinal categories), and the answer to: About how many neighbors do you know by name? (recorded in 5 ordinal categories). Two additional columns are provided to indicate the metropolitan region of the respondent (one of the following six: Phoenix, Los Angeles, Minneapolis - St. Paul, Baltimore, Boston, or Miami) and the degree of urbanicity in that region (Urban, Suburban, or Exurban). See Grove and Locke 2018 for additional details. This research is supported by the Macro- Systems Biology Program (US NSF) under Grants EF-1065548, -1065737, -1065740, -1065741, -1065772, -1065785, -1065831, and -121238320 and the NIFA McIntire-Stennis 1000343 MIN-42-051. The work arose from research funded by grants from the NSF LTER program for Baltimore (DEB- 0423476, DEB-1027188); Phoenix (BCS-1026865, DEB-0423704, DEB-9714833, DEB-1637590, DEB-1832016); Plum Island, Boston (OCE-1058747 and 1238212); Cedar Creek, Minneapolis–St. Paul (DEB- 0620652); and Florida Coastal Everglades, Miami (DBI-0620409). Edna Bailey Sussman Foundation, Libby Fund Enhancement Award and the Marion I. Wright ‘46 Travel Grant at Clark University, The Warnock Foundation, the USDA Forest Service No
MCR LTER: Coral Reef: Fish Counts versus Coral Diversity for Holbrook, et al. PLoS One 2015
To test the impact of the regional species pool on the coral-fish diversity relationship, the same experiment was conducted in lagoons of Schumann Island in Kimbe Bay, Papua New Guinea (5°31’S, 150°5’E), Lizard Island on the Great Barrier Reef, Australia (14º 41’S, 145º 27’E), and Moorea in French Polynesia (17° 30’S, 149° 50’W). Divers counted individuals of all species observed on or interacting with 45 patch reefs were constructed using six abundant, co-occurring coral species that were major habitat providers for fish. Fish were allowed to naturally colonize over 8-12 months and the patch reefs were surveyed by scuba divers four times during the period. The species of corals used in the experiment were selected to include species that exhibit a broad range of structural morphologies and potential sensitivities to climate change and other environmental stressors. These data support the manuscript: Holbrook, Sally J., Russel J. Schmitt, Vanessa Messmer, Andrew J. Brooks, Maya Srinivasan, Philip L. Munday and Geoffrey P. Jones, Reef Fishes in Biodiversity Hotspots are at Greatest Risk from Loss of Coral Species, accepted 2015, PLoS One.
PLOS Comput. Biol. "Biophysically detailed mathematical models of multiscale cardiac active mechanics": datasets
<p>This repository contains the data accompanying the PLOS Computational Biology paper "<em>Biophysically detailed mathematical models of multiscale cardiac active mechanics</em>", by Francesco Regazzoni, Luca Dedè and Alfio Quarteroni.</p> <p>It contains the following datasets:</p> <ul> <li><strong>steady_state.csv</strong>: steady-state active tension for constant calcium concentration and sarcomere length (Figs. 11, 12, 13 ,14).</li> <li><strong>isometric_twitches.csv</strong>: active tension transients in isometric conditions (Figs. 15, 16, 17).</li> <li><strong>force_velocity_relationship.csv</strong>: force-velocity relationship at different calcium concentrations and sarcomere lenghts (Fig. 18).</li> <li><strong>fast_transient_response.csv</strong>: tension-elongation curve after a fast step in length (Fig. 19).</li> </ul> <p>CSV headers refer to the following variables (and measure units):</p> <ul> <li><strong>Ca</strong> (<em>μM</em>): intracellular calcium concentration.</li> <li><strong>SL</strong> (<em>μm</em>): sarcomere length.</li> <li><strong>active_tension</strong> (<em>kPa</em>): active tension.</li> <li><strong>Delta_L</strong> (<em>nm/hs</em>): step length.</li> <li><strong>velocity</strong> (<em>hs/s</em>): shortening velocity.</li> <li><strong>time</strong> (<em>s</em>): time.</li> </ul>
Supporting dataset for manuscript: "Higher rate of tuberculosis in second generation migrants compared to native residents in a metropolitan setting in Western Europe" (PLoS ONE)
<p>This is the supporting datafile for the manuscript entitled "Higher rate of tuberculosis in second generation migrants compared to native residents in a metropolitan setting in Western Europe" (Marx et al., PLoS ONE). The dataset includes anonymized, routinely collected notification data (variables labeled as "nd") for 314 individuals and anonymized survey data (i.e. data obtained through interviews; variables labeled as "sd") for a subset of 154 individuals. The data are published open-access, in accordance with the PLoS ONE data policy (2014).</p>
Cumulative PLOS ALM Report - July 2015
Article-Level Metrics (ALM) measure the reach and online engagement of scholarly works. This PLOS ALM report contains the cumulative stats collected for all works through July 13, 2015. Data are generated by the Lagotto open source software. Go to the Lagotto forum for questions or comments.
Cumulative PLOS ALM Report - August 2015
Article-Level Metrics (ALM) measure the reach and online engagement of scholarly works. This PLOS ALM report contains the cumulative stats collected for all works through August 10, 2015. Data are generated by the Lagotto open source software. Go to the Lagotto forum for questions or comments.
Cumulative PLOS ALM Report - September 2015
Article-Level Metrics (ALM) measure the reach and online engagement of scholarly works. This PLOS ALM report contains the cumulative stats collected for all works through September 10, 2015. Data are generated by the Lagotto open source software. Go to the Lagotto forum for questions or comments.
Cumulative PLOS ALM Report - October 2015
Article-Level Metrics (ALM) measure the reach and online engagement of scholarly works. This PLOS ALM report contains the cumulative stats collected for all works through October 10, 2015. Data are generated by the Lagotto open source software. Go to the Lagotto forum for questions or comments.
Cumulative PLOS ALM Report - December 2015
Article-Level Metrics (ALM) measure the reach and online engagement of scholarly works. This PLOS ALM report contains the cumulative stats collected for all works through December 10, 2015. Data are generated by the Lagotto open source software. Go to the Lagotto forum for questions or comments.
Cumulative PLOS ALM Report - January 2016
Article-Level Metrics (ALM) measure the reach and online engagement of scholarly works. This PLOS ALM report contains the cumulative stats collected for all works through January 10, 2016. Data are generated by the Lagotto open source software. Go to the Lagotto forum for questions or comments.
Dataset and Figures for article: Ivanov P.Ch., Yuen, A., Perakakis, P., (2014). Impact of stock market structure on intertrade time and price dynamics. PLoS ONE 9(4): e92885
<p>Dataset and Figures for article: Ivanov P.Ch., Yuen, A., Perakakis, P., (2014). Impact of stock market structure on intertrade time and price dynamics. PLoS ONE 9(4): e92885</p>
Gilby et al PLoS ONE Bayesian Belief Network input data
<p>Gilby et al PLoS ONE Bayesian Belief Network input data. Data used to educate relationships between nodes in Bayesian Belief Network for coral reef condition relative to management intervenations on coral reefs in Moreton Bay, Queensland, Australia.</p>
Semantic annotation of PLoS journal citation contexts
<p>Dataset </p>
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