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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Nusslé, Sébastien; Matthews, Kathleen R.; Carlson, Stephanie M.;

    Rising temperatures due to climate change are pushing the thermal limits of many species, but how climate warming interacts with other anthropogenic disturbances such as land use remains poorly understood. To understand the interactive effects of climate warming and livestock grazing on water temperature in three high elevation meadow streams in the Golden Trout Wilderness, California, we measured riparian vegetation and monitored water temperature in three meadow streams between 2008 and 2013, including two “resting” meadows and one meadow that is partially grazed. All three meadows have been subject to grazing by cattle and sheep since the 1800s and their streams are home to the imperiled California golden trout (Oncorhynchus mykiss aguabonita). In 1991, a livestock exclosure was constructed in one of the meadows (Mulkey), leaving a portion of stream ungrazed to minimize the negative effects of cattle. In 2001, cattle were removed completely from two other meadows (Big Whitney and Ramshaw), which have been in a “resting” state since that time. Inside the livestock exclosure in Mulkey, we found that riverbank vegetation was both larger and denser than outside the exclosure where cattle were present, resulting in more shaded waters and cooler maximal temperatures inside the exclosure. In addition, between meadows comparisons showed that water temperatures were cooler in the ungrazed meadows compared to the grazed area in the partially grazed meadow. Finally, we found that predicted temperatures under different global warming scenarios were likely to be higher in presence of livestock grazing. Our results highlight that land use can interact with climate change to worsen the local thermal conditions for taxa on the edge and that protecting riparian vegetation is likely to increase the resiliency of these ecosystems to climate change. Willow height and positionPosition and height of each willow measured. "ID" is the willow ID, "height", the willow height, "date", the time of measurement, "exclosure", weather the willow is inside or outside the cow exclosure, "Latitude" and "Longitude" are straightforward, "distance", is the distance from the closest willow within the dataset, and "dataset" is the group of data collected together.willow_mulkey_2014.txtprobe_depthDepth of the Probe, one day in 2014.probe_attributesProbe attributes: "Meadow", is the Meadow ID, "Probe2", the Probe ID, "Lat" and "Long", are lattitude and longitude coordinates, "Veg" is the dominant type of vegetation, "Hab" is the type of habitat, "Dep", the depth of the probe when set, "Elevation", the elevation of the probe, "Exclosure", exclosure if the probe is within or outside the exclosure.temperature data"Probe2", is the probe ID, "Date", is the day of the measurement, "Tmed", median temperature value for a particular probe and day, "Tmean", mean temperature value for a particular probe and day, "Tmax", maximal temperature value for a particular probe and day,"Tmin", minimal temperature value for a particular probe and day,"Tsd", standard deviation of temperature for a particular probe and day, "T7sd.mean", 7-days moving average for the standard deviation, "T7med.mean", 7-days moving average for the median,"T7mean.mean", 7-days moving average for the mean, "T7min.mean", 7-days moving average for the minimum, "T7max.mean", 7-days moving average for the maximum, "T7sd.med", 7-days moving median for the sd, "T7med.med", 7-days moving median for the median, "T7mean.med", 7-days moving median for the mean, "T7min.med", 7-days moving median for the minimum, "T7max.med", 7-days moving median for the maximum, "year" "date", "day", "Meadow" and "week" are straightforward.temperature_data.txt

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DANS-EASYarrow_drop_down
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    DANS-EASY
    Dataset . 2016
    Data sources: B2FIND
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    ZENODO
    Dataset . 2016
    License: CC 0
    Data sources: ZENODO
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    DRYAD; NARCIS
    Dataset . 2016
    License: CC 0
    Data sources: Datacite; NARCIS
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DANS-EASYarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DANS-EASY
      Dataset . 2016
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2016
      License: CC 0
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DRYAD; NARCIS
      Dataset . 2016
      License: CC 0
      Data sources: Datacite; NARCIS
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Refardt, Dominik; Bergmiller, Tobias; Kümmerli, Rolf;

    readme.txtContains descriptions of all data files.120308b_2.pdaFile: 120308b_2.pda Format: SoftMax Pro 5.42.1.0 (Molecular Devices, Sunnyvale, CA) Contents: Measurements of optical density of bacterial cultures. Rows A-D contain cultures of E. coli lambda, rows E-H contain cultures of E. coli HK97. Columns 1 and 2 contain uninfected cultures. Columns 3-11 contain cultures that were infected with 5x10^0 - 5x10^8 pfu of phage T4rII. Column 12 contains blanks (medium only).120308b_2.txtFile: 120308b_2.txt Format: text Contents Measurements of optical density of bacterial cultures Note: Same data as in file 120308b_2.pdafigure1_r_script.rFile: figure1_r_script.r Format: r source file Contents: reads in all growth data, calculates doubling times, calculates statistics, plots figure 1 to pdf Note: requires package nlstoolsintrinsic_costs.zipFiles: intrinsic_costs.zip (contains files well.XXX (XXX are numbers from 001 to 096)) Format: ZIP archive (contents are flow cytometry data files FCS 2.0) Contents: Flow cytometry analyses of bacterial cultures. Samples were excited at a wavelength of 488 nm, while emission was detected at 510 nm (GFP) and 560 nm (DsRed).120524_exp390.csvFile: 120524_exp390.csv Format: text (comma separated values) Contents: Data obtained from the analysis of all flow cytometry data files in intrinsic_costs.zip using WEASEL 3.0.1. Files also contains information about the identity of every sample.intrinsic_costs_r_script.rFile: intrinsic_costs_r_script.r Format: r source file Contents: reads in all flow cytometry data and calculates statisticsintrinsic_costs_r_script.R120524_1.pdaFile: 120524_1.pda Format: SoftMax Pro 5.42.1.0 (Molecular Devices, Sunnyvale, CA) Contents: Measurements of optical density of bacterial cultures. Cultures in rows A, C, E, and G contain treatments without phage T4rII, cultures in rows B, D, F, and H contain treatments with phage T4rII. E. coli lambda was labelled with pDsRed in columns 1, 3, 5, 7, 9, and 11. E. coli lambda was labelled with pGFP in columns 2, 4, 6, 8, 10, and 12. The initial frequency of E. coli lambda was 99.9% in cultures in columns 1 and 2, 99% in cultures in columns 3 and 4, 95% in cultures in columns 5 and 6, 90% in cultures in columns 7 and 8, 50% in cultures in columns 9 and 10, and 10% in cultures in columns 11 and 12.120524_1.txtFile: 120524_1.txt Format: text Contents Measurements of optical density of bacterial cultures Note: Same data as in file 120524_1.pdafigure2.zipFiles: figure2.zip (contains files well.XXX (XXX are numbers from 079 to 108 and from 301 to 396)) Format: ZIP archive (contains flow cytometry data files FCS 2.0) Contents: Flow cytometry analyses of bacterial cultures. Samples were excited at a wavelength of 488 nm, while emission was detected at 510 nm (GFP) and 560 nm (DsRed).120525_exp391.csvFile: 120525_exp391.csv Format: text (comma separated values) Contents: Data obtained from the analysis of flow cytometry data files well.301 - well.396 using WEASEL 3.0.1. File also contains information about the identity of every sample. Data are from samples taken after the competition experiment.120524_97-108.csvFile: 120524_97-108.csv Format: text (comma separated values) Contents: Data obtained from the analysis of flow cytometry data files well.079 - well.108 using WEASEL 3.0.1. File also contains information about the identity of every sample. Data are from samples prior to the competition experiment and are used to obtain the initial frequencies of the competitors as shown on the x-axis of the inset of figure 2 and on the right side of figure 2.figure2_r_script.RFile: figure2_r_script.r Format: r source file Contents: reads in all growth data, reads in all flow cytometry data, calculates statistics, plots figure 2 to pdf Note: requires package dichromatfigure3.zipFiles: figure3.zip (contains files well.XXX (XXX are numbers from 001 - 096, from 101 to 196, and from 201 to 204)) Format: ZIP archive (contains flow cytometry data file FCS 2.0) Contents: Flow cytometry analyses of bacterial cultures. Samples were excited at a wavelength of 488 nm, while emission was detected at 510 nm (GFP) and 560 nm (DsRed).120525_exp392b.csvFile: 120525_exp392b.csv Format: text (comma separated values) Contents: Data obtained from the analysis of flow cytometry data files well.101 - well.196 and well.201 - well.204 using WEASEL 3.0.1. File also contains information about the identity of every sample. Data are use to produce figure 3a.120525_exp392a.csvFile: 120525_exp392a.csv Format: text (comma separated values) Contents: Data obtained from the analysis of flow cytometry data files well.001 - well.096 and well.201 - well.202 using WEASEL 3.0.1. File also contains information about the identity of every sample. Data are used to produce figure 3b.figure3_r_script.rFile: figure3_r_script.r Format: r source file Contents: reads in all growth data, reads in all flow cytometry data, calculates statistics, plots figure 3a and 3b to pdf Note: requires package dichromatfigure3_r_script.R High relatedness among interacting individuals has generally been considered a precondition for the evolution of altruism. However, kin-selection theory also predicts the evolution of altruism when relatedness is low, as long as the cost of the altruistic act is minor compared to its benefit. Here, we demonstrate evidence for a low-cost altruistic act in bacteria. We investigated Escherichia coli responding to the attack of an obligately lytic phage by committing suicide in order to prevent parasite transmission to nearby relatives. We found that bacterial suicide provides large benefits to survivors at marginal costs to committers. The cost of suicide was low because infected cells are moribund, rapidly dying upon phage infection, such that no more opportunity for reproduction remains. As a consequence of its marginal cost, host suicide was selectively favoured even when relatedness between committers and survivors approached zero. Altogether, our findings demonstrate that low-cost suicide can evolve with ease, represents an effective host-defence strategy, and seems to be widespread among microbes. Moreover, low-cost suicide might also occur in higher organisms as exemplified by infected social insect workers leaving the colony to die in isolation.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DANS-EASYarrow_drop_down
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    DANS-EASY
    Dataset . 2013
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DRYAD; NARCIS
    Dataset . 2013
    License: CC 0
    Data sources: Datacite; NARCIS
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2013
    License: CC 0
    Data sources: ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DANS-EASYarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DANS-EASY
      Dataset . 2013
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DRYAD; NARCIS
      Dataset . 2013
      License: CC 0
      Data sources: Datacite; NARCIS
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2013
      License: CC 0
      Data sources: ZENODO
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    Authors: Sanchini, Andrea;
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    PANGAEA
    Dataset . 2020
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ PANGAEAarrow_drop_down
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      PANGAEA
      Dataset . 2020
      Data sources: B2FIND
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    Authors: MacDonald, Glen M;
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    PANGAEA
    Dataset . 2018
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2018
      Data sources: B2FIND
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    Authors: Verbruggen, Erik; El Mouden, Claire; Jansa, Jan; Akkermans, Geert; +3 Authors

    Explaining mutualistic cooperation between species remains a major challenge for evolutionary biology. Why cooperate if defection potentially reaps greater benefits? It is commonly assumed that spatial structure (limited dispersal) aligns the interests of mutualistic partners. But does spatial structure consistently promote cooperation? Here, we formally model the role of spatial structure in maintaining mutualism. We show theoretically that spatial structure can actually disfavour cooperation by limiting the suite of potential partners. The effect of spatial structuring depends on the scale (fine or coarse level) at which hosts reward their partners. We then test our predictions by using novel molecular methods to track the abundance of competing, closely-related, cooperative and less-cooperative arbuscular mycorrhizal (AM) fungal symbionts on host roots over multiple generations. We find that when spatial structure is reduced, by mixing soil, the relative success of the more cooperative AM fungal species increases. This challenges previous suggestions that high spatial structuring is critical for stabilizing cooperation in the mycorrhizal mutualism. More generally our results show, both theoretically and empirically, that contrary to expectations spatial structuring can select against cooperation. datafileAmNatqpCR, plant biomass, nutrient content and colonization data

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2012
    License: CC 0
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DANS-EASY
    Dataset . 2012
    Data sources: B2FIND
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    DRYAD; NARCIS
    Dataset . 2012
    License: CC 0
    Data sources: Datacite; NARCIS
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      ZENODO
      Dataset . 2012
      License: CC 0
      Data sources: ZENODO
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      DANS-EASY
      Dataset . 2012
      Data sources: B2FIND
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      DRYAD; NARCIS
      Dataset . 2012
      License: CC 0
      Data sources: Datacite; NARCIS
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    Authors: Macfarlane, Amy R; Schneebeli, Martin; Dadic, Ruzica; Wagner, David N; +18 Authors

    Dielectric permittivity (ε′) and dielectric loss (ε″) measurements were made of discrete snow layers and at fixed vertical intervals. Measurements were made using the Stevens Water Monitoring Systems Hydra Probe (a.k.a. hydraprobe). The hydraprobe uses a tine assembly consisting of a central waveguide and three outer rods, each 4.5 cm in length and 3 mm wide, to measure the impedance of the sample at 50 MHz over a cylindrical area of 5.7 cm in length by 3 cm in diameter. The sensor was calibrated using isopropyl alcohol for ε' (±0.6 %) and a saline solution of known conductivity for ε'' (±0.7 %). Samples were obtained by horizontally inserting the probe tines into the snow, at a given layer/interval (every 3cm), to their maximum depth and collecting a response. 0 cm is the snow-ice interface. For related temperature and density measurements see https://doi.pangaea.de/10.1594/PANGAEA.940200 and https://doi.pangaea.de/10.1594/PANGAEA.940214 in this bundled dataset. Please direct inquiries to; Aikaterini Tavri (PS122/4), Ruzica Dadic (PS122/5).

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    PANGAEA
    Dataset . 2022
    Data sources: B2FIND
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      PANGAEA
      Dataset . 2022
      Data sources: B2FIND
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    Authors: Lucek, Kay; Lemoine, Mélissa; Seehausen, Ole;

    Although rapid phenotypic evolution during range expansion associated with colonization of contrasting habitats has been documented in several taxa, the evolutionary mechanisms that underlie such phenotypic divergence have less often been investigated. A strong candidate for rapid ecotype formation within an invaded range is the three-spine stickleback in the Lake Geneva region of central Europe. Since its introduction only about 140 years ago, it has undergone a significant expansion of its range and its niche, now forming phenotypically differentiated parapatric ecotypes that occupy either the pelagic zone of the large lake or small inlet streams, respectively. By comparing museum collections from different times with contemporary population samples, we here reconstruct the evolution of parapatric phenotypic divergence through time. Using genetic data from modern samples, we infer the underlying invasion history. We find that parapatric habitat-dependent phenotypic divergence between the lake and stream was already present in the first half of the twentieth century, but the magnitude of differentiation increased through time, particularly in antipredator defence traits. This suggests that divergent selection between the habitats occurred and was stable through much of the time since colonization. Recently, increased phenotypic differentiation in antipredator defence traits likely results from habitat-dependent selection on alleles that arrived through introgression from a distantly related lineage from outside the Lake Geneva region. This illustrates how hybridization can quickly promote phenotypic divergence in a system where adaptation from standing genetic variation was constrained. Lucek_et_al_JEB-2014-00477.R1_DryadMicrosatellite data for contemporary and linear morphology for historical and contemporary stickleback populations from the Lake Geneva region and Switzerland.

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    ZENODO
    Dataset . 2014
    License: CC 0
    Data sources: ZENODO
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    DRYAD; NARCIS
    Dataset . 2014
    License: CC 0
    Data sources: Datacite; NARCIS
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    DANS-EASY
    Dataset . 2014
    Data sources: B2FIND
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      ZENODO
      Dataset . 2014
      License: CC 0
      Data sources: ZENODO
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      DRYAD; NARCIS
      Dataset . 2014
      License: CC 0
      Data sources: Datacite; NARCIS
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      DANS-EASY
      Dataset . 2014
      Data sources: B2FIND
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    Authors: Ducret, Valérie; Gaigher, Arnaud; Simon, Céline; Goudet, Jérôme; +1 Authors

    Sexual conflict arises when selection in one sex causes the displacement of the other sex from its phenotypic optimum, leading to an inevitable tension within the genome – called intralocus sexual conflict. Although the autosomal melanocortin-1-receptor gene (MC1R) can generate colour variation in sexually dichromatic species, most previous studies have not considered the possibility that MC1R may be subject to sexual conflict. In the barn owl (Tyto alba), the allele MC1RWHITE is associated with whitish plumage coloration, typical of males, and the allele MC1RRUFOUS is associated with dark rufous coloration, typical of females, although each sex can express any phenotype. Because each colour variant is adapted to specific environmental conditions, the allele MC1RWHITE may be more strongly selected in males and the allele MC1RRUFOUS in females. We therefore investigated whether MC1R genotypes are in excess or deficit in male and female fledglings compared with the expected Hardy–Weinberg proportions. Our results show an overall deficit of 7.5% in the proportion of heterozygotes in males and of 12.9% in females. In males, interannual variation in assortative pairing with respect to MC1R explained the year-specific deviations from Hardy–Weinberg proportions, whereas in females, the deficit was better explained by the interannual variation in the probability of inheriting the MC1RWHITE or MC1RRUFOUS allele. Additionally, we observed that sons inherit the MC1RRUFOUS allele from their fathers on average slightly less often than expected under the first Mendelian law. Transmission ratio distortion may be adaptive in this sexually dichromatic species if males and females are, respectively, selected to display white and rufous plumages. BreedingPairsMC1RJuvenilesMicrosatellitesJuvenilesScript Chi2 Simulationscript FIS SimulationScript proportion of assortative pairing

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    DRYAD; NARCIS
    Dataset . 2016
    License: CC 0
    Data sources: Datacite; NARCIS
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    ZENODO
    Dataset . 2016
    License: CC 0
    Data sources: ZENODO
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    DANS-EASY
    Dataset . 2016
    Data sources: B2FIND
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      DRYAD; NARCIS
      Dataset . 2016
      License: CC 0
      Data sources: Datacite; NARCIS
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      ZENODO
      Dataset . 2016
      License: CC 0
      Data sources: ZENODO
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      DANS-EASY
      Dataset . 2016
      Data sources: B2FIND
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    Authors: Durán-Alarcón, Claudio; Boudevillain, Brice; Genthon, Christophe; Grazioli, Jacopo; +1 Authors

    Antarctic precipitation is the main positive component in the surface mass balance of the Antarctic ice sheet, thus it is closely related to the evolution of the sea level worldwide. The lack of observations, at both surface and the vertical structure, have hindered the understanding of this important component. Recently a study of the vertical structure of the precipitation in Antarctica have been carried out using micro rain radar (MRR) observations (Durán-Alarcón et al., 2019, TC) at two different sites: Dumont d'Urville (DDU) and Princess Elisabeth (PE) stations. The present collection consists in 2-years of vertical profiles of effective reflectivity (Ze), mean Doppler velocity (W), spectral width (SW) and snowfall rate (S) derived from a K-band vertically-pointing micro rain radar (MRR), obtained at DDU in the framework of the Antarctic Precipitation Remote Sensing from Surface and Space project (APRES3). The observation range of the profiles is between 300 m and 3 km above ground level, with 100m and 1h of vertical and temporal resolutions, respectively. Vertical profiles were separated into surface precipitation and virga (i.e., precipitation that completely sublimes before reaching the surface) to evaluate the impact of virga on the structure of the vertical profiles. The strong katabatic winds blowing at DDU induce a decrease in Ze near to the ground due to the sublimation of the snowfall particles, and the W and SW increases as the height decreases. It was observed that virga is a frequent phenomenon at DDU, since more than a third (36%) of the profiles of precipitation observed with MRR corresponded to virga cases (more details in Durán-Alarcón et al., 2019, TC). This unique dataset of Antarctic precipitation observations in the low troposphere represents a great opportunity to better understand the current numerical models and satellite observations. Supplement to: Durán-Alarcón, Claudio; Boudevillain, Brice; Genthon, Christophe; Grazioli, Jacopo; Souverijns, Niels; van Lipzig, Nicole P M; Gorodetskaya, Irina V; Berne, Alexis (2019): The vertical structure of precipitation at two stations in East Antarctica derived from micro rain radars. The Cryosphere, 13(1), 247-264

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    PANGAEA
    Dataset . 2019
    Data sources: B2FIND
    PANGAEA - Data Publisher for Earth and Environmental Science
    Other dataset type . 2019
    License: CC BY
    Data sources: Datacite
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      PANGAEA
      Dataset . 2019
      Data sources: B2FIND
      PANGAEA - Data Publisher for Earth and Environmental Science
      Other dataset type . 2019
      License: CC BY
      Data sources: Datacite
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    Authors: Hahn, Min A.; Rieseberg, Loren H.;

    Biological invasions are often associated with multiple introductions and genetic admixture of previously isolated populations. In addition to enhanced evolutionary potential through increased genetic variation, admixed genotypes may benefit from heterosis, which could contribute to their increased performance and invasiveness. To deepen our understanding of the mechanisms and management strategies for biological invasions, we experimentally studied whether intraspecific admixture causes heterosis in common ragweed (Ambrosia artemisiifolia) by comparing the performance of crosses (F1) between populations relative to crosses within these populations for each range (native, introduced) under different ecologically relevant conditions (control, drought, competition, simulated herbivory). Performance of admixed genotypes was highly variable, ranging from strong heterotic effects to weak outbreeding depression. Moreover, heterosis was not uniformly observed among between-population crosses, but certain native population crosses showed considerable heterosis, especially under simulated herbivory. In contrast, heterosis was largely absent in crosses from the introduced range, possibly implying that these populations were already admixed and benefit little from further mixing. In conclusion, these results support the hypothesis that heterosis may contribute to biological invasions, and indicate the need to minimize new introductions of exotic species, even if they are already present in the introduced range. Ragweed_heterosis_data_HahnPhenotypic data of plants of common ragweed from a greenhouse experiment using artificial crosses within and between populations from the native and the introduced range. Description of the data variables in README.csv file.

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    ZENODO
    Dataset . 2016
    License: CC 0
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DANS-EASY
    Dataset . 2016
    Data sources: B2FIND
    Borealis
    Dataset . 2021
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DRYAD; Federated Res...arrow_drop_down
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      ZENODO
      Dataset . 2016
      License: CC 0
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DANS-EASY
      Dataset . 2016
      Data sources: B2FIND
      Borealis
      Dataset . 2021
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Nusslé, Sébastien; Matthews, Kathleen R.; Carlson, Stephanie M.;

    Rising temperatures due to climate change are pushing the thermal limits of many species, but how climate warming interacts with other anthropogenic disturbances such as land use remains poorly understood. To understand the interactive effects of climate warming and livestock grazing on water temperature in three high elevation meadow streams in the Golden Trout Wilderness, California, we measured riparian vegetation and monitored water temperature in three meadow streams between 2008 and 2013, including two “resting” meadows and one meadow that is partially grazed. All three meadows have been subject to grazing by cattle and sheep since the 1800s and their streams are home to the imperiled California golden trout (Oncorhynchus mykiss aguabonita). In 1991, a livestock exclosure was constructed in one of the meadows (Mulkey), leaving a portion of stream ungrazed to minimize the negative effects of cattle. In 2001, cattle were removed completely from two other meadows (Big Whitney and Ramshaw), which have been in a “resting” state since that time. Inside the livestock exclosure in Mulkey, we found that riverbank vegetation was both larger and denser than outside the exclosure where cattle were present, resulting in more shaded waters and cooler maximal temperatures inside the exclosure. In addition, between meadows comparisons showed that water temperatures were cooler in the ungrazed meadows compared to the grazed area in the partially grazed meadow. Finally, we found that predicted temperatures under different global warming scenarios were likely to be higher in presence of livestock grazing. Our results highlight that land use can interact with climate change to worsen the local thermal conditions for taxa on the edge and that protecting riparian vegetation is likely to increase the resiliency of these ecosystems to climate change. Willow height and positionPosition and height of each willow measured. "ID" is the willow ID, "height", the willow height, "date", the time of measurement, "exclosure", weather the willow is inside or outside the cow exclosure, "Latitude" and "Longitude" are straightforward, "distance", is the distance from the closest willow within the dataset, and "dataset" is the group of data collected together.willow_mulkey_2014.txtprobe_depthDepth of the Probe, one day in 2014.probe_attributesProbe attributes: "Meadow", is the Meadow ID, "Probe2", the Probe ID, "Lat" and "Long", are lattitude and longitude coordinates, "Veg" is the dominant type of vegetation, "Hab" is the type of habitat, "Dep", the depth of the probe when set, "Elevation", the elevation of the probe, "Exclosure", exclosure if the probe is within or outside the exclosure.temperature data"Probe2", is the probe ID, "Date", is the day of the measurement, "Tmed", median temperature value for a particular probe and day, "Tmean", mean temperature value for a particular probe and day, "Tmax", maximal temperature value for a particular probe and day,"Tmin", minimal temperature value for a particular probe and day,"Tsd", standard deviation of temperature for a particular probe and day, "T7sd.mean", 7-days moving average for the standard deviation, "T7med.mean", 7-days moving average for the median,"T7mean.mean", 7-days moving average for the mean, "T7min.mean", 7-days moving average for the minimum, "T7max.mean", 7-days moving average for the maximum, "T7sd.med", 7-days moving median for the sd, "T7med.med", 7-days moving median for the median, "T7mean.med", 7-days moving median for the mean, "T7min.med", 7-days moving median for the minimum, "T7max.med", 7-days moving median for the maximum, "year" "date", "day", "Meadow" and "week" are straightforward.temperature_data.txt

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    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DANS-EASY
    Dataset . 2016
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2016
    License: CC 0
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DRYAD; NARCIS
    Dataset . 2016
    License: CC 0
    Data sources: Datacite; NARCIS
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DANS-EASYarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DANS-EASY
      Dataset . 2016
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2016
      License: CC 0
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DRYAD; NARCIS
      Dataset . 2016
      License: CC 0
      Data sources: Datacite; NARCIS
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Refardt, Dominik; Bergmiller, Tobias; Kümmerli, Rolf;

    readme.txtContains descriptions of all data files.120308b_2.pdaFile: 120308b_2.pda Format: SoftMax Pro 5.42.1.0 (Molecular Devices, Sunnyvale, CA) Contents: Measurements of optical density of bacterial cultures. Rows A-D contain cultures of E. coli lambda, rows E-H contain cultures of E. coli HK97. Columns 1 and 2 contain uninfected cultures. Columns 3-11 contain cultures that were infected with 5x10^0 - 5x10^8 pfu of phage T4rII. Column 12 contains blanks (medium only).120308b_2.txtFile: 120308b_2.txt Format: text Contents Measurements of optical density of bacterial cultures Note: Same data as in file 120308b_2.pdafigure1_r_script.rFile: figure1_r_script.r Format: r source file Contents: reads in all growth data, calculates doubling times, calculates statistics, plots figure 1 to pdf Note: requires package nlstoolsintrinsic_costs.zipFiles: intrinsic_costs.zip (contains files well.XXX (XXX are numbers from 001 to 096)) Format: ZIP archive (contents are flow cytometry data files FCS 2.0) Contents: Flow cytometry analyses of bacterial cultures. Samples were excited at a wavelength of 488 nm, while emission was detected at 510 nm (GFP) and 560 nm (DsRed).120524_exp390.csvFile: 120524_exp390.csv Format: text (comma separated values) Contents: Data obtained from the analysis of all flow cytometry data files in intrinsic_costs.zip using WEASEL 3.0.1. Files also contains information about the identity of every sample.intrinsic_costs_r_script.rFile: intrinsic_costs_r_script.r Format: r source file Contents: reads in all flow cytometry data and calculates statisticsintrinsic_costs_r_script.R120524_1.pdaFile: 120524_1.pda Format: SoftMax Pro 5.42.1.0 (Molecular Devices, Sunnyvale, CA) Contents: Measurements of optical density of bacterial cultures. Cultures in rows A, C, E, and G contain treatments without phage T4rII, cultures in rows B, D, F, and H contain treatments with phage T4rII. E. coli lambda was labelled with pDsRed in columns 1, 3, 5, 7, 9, and 11. E. coli lambda was labelled with pGFP in columns 2, 4, 6, 8, 10, and 12. The initial frequency of E. coli lambda was 99.9% in cultures in columns 1 and 2, 99% in cultures in columns 3 and 4, 95% in cultures in columns 5 and 6, 90% in cultures in columns 7 and 8, 50% in cultures in columns 9 and 10, and 10% in cultures in columns 11 and 12.120524_1.txtFile: 120524_1.txt Format: text Contents Measurements of optical density of bacterial cultures Note: Same data as in file 120524_1.pdafigure2.zipFiles: figure2.zip (contains files well.XXX (XXX are numbers from 079 to 108 and from 301 to 396)) Format: ZIP archive (contains flow cytometry data files FCS 2.0) Contents: Flow cytometry analyses of bacterial cultures. Samples were excited at a wavelength of 488 nm, while emission was detected at 510 nm (GFP) and 560 nm (DsRed).120525_exp391.csvFile: 120525_exp391.csv Format: text (comma separated values) Contents: Data obtained from the analysis of flow cytometry data files well.301 - well.396 using WEASEL 3.0.1. File also contains information about the identity of every sample. Data are from samples taken after the competition experiment.120524_97-108.csvFile: 120524_97-108.csv Format: text (comma separated values) Contents: Data obtained from the analysis of flow cytometry data files well.079 - well.108 using WEASEL 3.0.1. File also contains information about the identity of every sample. Data are from samples prior to the competition experiment and are used to obtain the initial frequencies of the competitors as shown on the x-axis of the inset of figure 2 and on the right side of figure 2.figure2_r_script.RFile: figure2_r_script.r Format: r source file Contents: reads in all growth data, reads in all flow cytometry data, calculates statistics, plots figure 2 to pdf Note: requires package dichromatfigure3.zipFiles: figure3.zip (contains files well.XXX (XXX are numbers from 001 - 096, from 101 to 196, and from 201 to 204)) Format: ZIP archive (contains flow cytometry data file FCS 2.0) Contents: Flow cytometry analyses of bacterial cultures. Samples were excited at a wavelength of 488 nm, while emission was detected at 510 nm (GFP) and 560 nm (DsRed).120525_exp392b.csvFile: 120525_exp392b.csv Format: text (comma separated values) Contents: Data obtained from the analysis of flow cytometry data files well.101 - well.196 and well.201 - well.204 using WEASEL 3.0.1. File also contains information about the identity of every sample. Data are use to produce figure 3a.120525_exp392a.csvFile: 120525_exp392a.csv Format: text (comma separated values) Contents: Data obtained from the analysis of flow cytometry data files well.001 - well.096 and well.201 - well.202 using WEASEL 3.0.1. File also contains information about the identity of every sample. Data are used to produce figure 3b.figure3_r_script.rFile: figure3_r_script.r Format: r source file Contents: reads in all growth data, reads in all flow cytometry data, calculates statistics, plots figure 3a and 3b to pdf Note: requires package dichromatfigure3_r_script.R High relatedness among interacting individuals has generally been considered a precondition for the evolution of altruism. However, kin-selection theory also predicts the evolution of altruism when relatedness is low, as long as the cost of the altruistic act is minor compared to its benefit. Here, we demonstrate evidence for a low-cost altruistic act in bacteria. We investigated Escherichia coli responding to the attack of an obligately lytic phage by committing suicide in order to prevent parasite transmission to nearby relatives. We found that bacterial suicide provides large benefits to survivors at marginal costs to committers. The cost of suicide was low because infected cells are moribund, rapidly dying upon phage infection, such that no more opportunity for reproduction remains. As a consequence of its marginal cost, host suicide was selectively favoured even when relatedness between committers and survivors approached zero. Altogether, our findings demonstrate that low-cost suicide can evolve with ease, represents an effective host-defence strategy, and seems to be widespread among microbes. Moreover, low-cost suicide might also occur in higher organisms as exemplified by infected social insect workers leaving the colony to die in isolation.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DANS-EASYarrow_drop_down
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    DANS-EASY
    Dataset . 2013
    Data sources: B2FIND
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    DRYAD; NARCIS
    Dataset . 2013
    License: CC 0
    Data sources: Datacite; NARCIS
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2013
    License: CC 0
    Data sources: ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DANS-EASYarrow_drop_down
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      DANS-EASY
      Dataset . 2013
      Data sources: B2FIND
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      DRYAD; NARCIS
      Dataset . 2013
      License: CC 0
      Data sources: Datacite; NARCIS
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2013
      License: CC 0
      Data sources: ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sanchini, Andrea;
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed