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  • Authors: ATLAS Collaboration;

    - CERN-LHC. Detailed measurements of $t$-channel single top-quark production are presented. They use $20.2~\mathrm{fb}^{-1}$ of data collected by the ATLAS experiment in proton--proton collisions at a centre-of-mass energy of 8 TeV at the LHC. Total, fiducial and differential cross-sections are measured for both top-quark and top-antiquark production. The fiducial cross-section is measured with a precision of $5.8~\%$ (top quark) and $7.8~\%$ (top antiquark), respectively. The total cross-sections are measured to be $\sigma_\mathrm{tot}(tq) = 56.7^{+4.3}_{-3.8}\;\mathrm{pb}$ for top-quark production and $\sigma_\mathrm{tot}(\bar{t} q) = 32.9^{+3.0}_{-2.7}\;\mathrm{pb}$ for top-antiquark production, in agreement with the Standard Model prediction. In addition, the ratio of top-quark to top-antiquark production cross-sections is determined to be $R_t=1.72 \pm 0.09$. The differential cross-sections as a function of the transverse momentum and rapidity of both the top quark and the top antiquark are measured at both the parton and particle levels. The transverse momentum and rapidity differential cross-sections of the accompanying jet from the $t$-channel scattering are measured at particle level. All measurements are compared to various Monte Carlo predictions as well as to fixed-order QCD calculations where available. Uncertainties for the absolute differential $tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level per bin ([30,45,60,75,100,150,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.

    HEPDataarrow_drop_down
    HEPData
    Dataset . 2021
    Data sources: Datacite
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      HEPData
      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: Defossez, Emmanuel; Courbaud, Benoît; Lasbouygues, Olivier; Schiffers, Katja; +1 Authors

    Investigating how interactions among plants depend on environmental conditions is key to understand and predict plant communities’ response to climate change. However, while many studies have shown how direct interactions change along climatic gradients, indirect interactions have received far less attention. In this study, we aim at contributing to a more complete understanding of how biotic interactions are modulated by climatic conditions. We investigated both direct and indirect effects of adult tree canopy and ground vegetation on seedling growth and survival in five tree species in the French Alps. To explore the effect of environmental conditions, the experiment was carried out at 10 sites along a climatic gradient closely related to temperature. While seedling growth was little affected by direct and indirect interactions, seedling survival showed significant patterns across multiple species. Ground vegetation had a strong direct competitive effect on seedling survival under warmer conditions. This effect decreased or shifted to facilitation at lower temperatures. While the confidence intervals were wider for the effect of adult canopy, it displayed the same pattern. The monitoring of micro-environmental conditions revealed that competition by ground vegetation in warmer sites could be related to reduced water availability; and weak facilitation by adult canopy in colder sites to protection against frost. For a cold-intolerant and shade-tolerant species (Fagus sylvatica), adult canopy indirectly facilitated seedling survival by suppressing ground vegetation at high temperature sites. The other more cold tolerant species did not show this indirect effect (Pinus uncinata, Larix decidua and Abies alba). Our results support the widely observed pattern of stronger direct competition in more productive climates. However, for shade tolerant species, the effect of direct competition may be buffered by tree canopies reducing the competition of ground vegetation, resulting in an opposite trend for indirect interactions across the climatic gradient. Seedling first year survivalData used seedling survival analysis (see https://github.com/kunstler/indirect.effect.climaten for R code)data.seedling.survival.csvSeedling growth dataData for seedling growth analysis (see https://github.com/kunstler/indirect.effect.climate)data.seedling.growth.csvDaily climatic data per plotDaily climatic data per plotdata.climate.all.csvData on ground vegetation cover and light interceptiondata.herb.light.csvAnnual climatic data per site in open areadata.clim.mean.csv

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    DRYAD; NARCIS
    Dataset . 2015
    License: CC 0
    Data sources: Datacite; NARCIS
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    ZENODO
    Dataset . 2015
    License: CC 0
    Data sources: ZENODO
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    DANS-EASY
    Dataset . 2015
    Data sources: B2FIND
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      DRYAD; NARCIS
      Dataset . 2015
      License: CC 0
      Data sources: Datacite; NARCIS
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      ZENODO
      Dataset . 2015
      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 . 2015
      Data sources: B2FIND
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  • Authors: Li, Mengyuan; Ako, A.M.; Lan, Yanhua; Wernsdorfer, W.; +5 Authors

    An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures. Related Article: Mengyuan Li, Yanhua Lan, A.M.Ako, W.Wernsdorfer, C.E.Anson, G.Buth, A.K.Powell, Zheming Wang, Song Gao|2010|Inorg.Chem.|49|11587|doi:10.1021/ic101754g Related Article: Mengyuan Li, A.M.Ako, Yanhua Lan, W.Wernsdorfer, G.Buth, C.E.Anson, A.K.Powell, Zheming Wang, Song Gao|2010|Dalton Trans.|39|3375|doi:10.1039/c000854k

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    Authors: Gibbin, Emma M; Gavish, Assaf; Krueger, Thomas; Kramarsky-Winter, Esti; +5 Authors

    We conducted two isotope experiments (described in Gibbin et al. 2018) to determine how the presence of pathogens influences resource partitioning in the coral holobiont. Specifically, we quantified: 1) 13C-assimilation in Symbiodinium and the amount of 13C-labelled photosynthates that are assimilated by the host; 2) the metabolic turnover of 13C in Symbiodinium and in their host and 3) the incorporation of bacterial-derived N within the tissues of the coral holobiont.NanoSIMS images (either 40×40 or 50×50 µm in size) were obtained by rasterizing a 16 keV Cs+ primary ion beam, focused to a spot-size of 150 nm, across the sample surface. Settings (dwell time = 5 ms; number of pixels = 256×256, layers = 5) were kept constant between images. Data was extracted from drift-corrected images using L'IMAGE (Dr. Larry Nittler, Carnegie Institution of Washington). Regions of interest (ROIs) were drawn around individual symbiont cells and the host gastrodermis (excluding symbionts), using the contour lines on the 12C14N- image. These ROIs were then used to quantify the average enrichment of 13C and 15N in each partner. Our measured values are expressed as Atom Percent Excess (APE, in %). Supplement to: Gibbin, Emma M; Gavish, Assaf; Krueger, Thomas; Kramarsky-Winter, Esti; Shapiro, Orr; Guiet, Romain; Jensen, Louise; Vardi, Assaf; Meibom, Anders (2018): Vibrio coralliilyticus infection triggers a behavioural response and perturbs nutritional exchange and tissue integrity in a symbiotic coral. The ISME Journal

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    PANGAEA
    Dataset . 2018
    Data sources: B2FIND
    PANGAEA - Data Publisher for Earth and Environmental Science
    Other dataset type . 2018
    License: CC BY
    Data sources: Datacite
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      PANGAEA
      Dataset . 2018
      Data sources: B2FIND
      PANGAEA - Data Publisher for Earth and Environmental Science
      Other dataset type . 2018
      License: CC BY
      Data sources: Datacite
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  • Authors: Noinart, Jidapa; Buttachon, Suradet; Dethoup, Tida; Gales, Luís; +8 Authors

    An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures. Related Article: Jidapa Noinart, Suradet Buttachon, Tida Dethoup, Luís Gales, José A. Pereira, Ralph Urbatzka, Sara Freitas, Michael Lee, Artur M. S. Silva, Madalena M. M. Pinto, Vítor Vasconcelos, Anake Kijjoa|2017|Marine Drugs|15|139|doi:10.3390/md15050139

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  • Authors: Gulcur, Murat; Moreno-García, Pavel; Zhao, Xiaotao; Baghernejad, Masoud; +4 Authors

    An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures. Related Article: Murat Gulcur, Pavel Moreno-García, Xiaotao Zhao, Masoud Baghernejad, Andrei S. Batsanov, Wenjing Hong, Martin R. Bryce, Thomas Wandlowski|2014|Chem.-Eur.J.|20|4653|doi:10.1002/chem.201304671

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  • Authors: Sabenya, Gerard; Lázaro, Laura; Gamba, Ilaria; Martin-Diaconescu, Vlad; +7 Authors

    An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures. Related Article: Gerard Sabenya, Laura Lázaro, Ilaria Gamba, Vlad Martin-Diaconescu, Erik Andris, Thomas Weyhermüller, Frank Neese, Jana Roithova, Eckhard Bill, Julio Lloret-Fillol, and Miquel Costas|2017|J.Am.Chem.Soc.|139|9168|doi:10.1021/jacs.7b00429

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  • Authors: ATLAS Collaboration;

    CERN-LHC. Measurements of cross sections for the production of jets in association with a Z0 boson in proton-proton collisions at a centre of mass energy of 7 TeV. The 2011 data sample used has an integrated luminosity of 4.6 fb^{-1}. Inclusive cross sections for Z0 decaying into either electron or muon pairs with jets of transverse momentum above 30 GeV and |rapidity| less than 4.4 are presented along with a detailed breakdown of the systematic errors in the measurements. Data are given here for the individual electron and muon channels as well as for the combined data as shown in the paper. The combined cross section has been extrapolated to the common phase space |eta|<2.5 and pT>20 GeV, similar to the 2010 analysis. Note added (25 JUN 2014): The cross section values reported in Tables 1,3,5,7,9-13,15-28 below should be multiplied by a factor of 1.0141 to take into account the updated value of the integrated luminosity for the ATLAS 2011 data taking period. The uncertainty on the global normalisation ("Lumi") remains at 1.8%. See Eur.Phys.J. C73 (2013) 2518 for more details Note added (8 MAY 2015): The entries for Z->mumu final state in table 2, 4, 6 were shifted by one row. This mistake has been corrected. The distribution of |y| (3rd jet), m(jj) > 350 GeV, Dy(jj) > 3.0. The first (sys) error is the uncorrelated systematic error and the second the correlated systematic error.

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    HEPData
    Dataset . 2015
    Data sources: Datacite
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      HEPData
      Dataset . 2015
      Data sources: Datacite
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  • Authors: CMS Collaboration;

    The transverse momentum $p_{T}$ distributions of $\Lambda$, $\Xi-$, and $\Omega-$ baryons, their antiparticles, and ${K_{0}}^{S}$ mesons are measured in proton-proton (pp) and proton-lead (pPb) collisions at a nucleon-nucleon center-of-mass energy of 5.02 TeV over a broad rapidity range. The data, corresponding to integrated luminosities of 40.2 $nb^{−1}$ and 15.6 $μb^{−1}$ for pp and pPb collisions, respectively, were collected by the CMS experiment. The nuclear modification factor $R_{pPb}$, which is defined as the ratio of the particle yield in pPb collisions and a scaled pp reference, is measured for each particle. A strong dependence on particle species is observed in the $p_{T}$ range from 2 to 7 GeV, where $R_{pPb}$ for ${K_{0}}^{S}$ is consistent with unity, while an enhancement ordered by strangeness content and/or particle mass is observed for the three baryons. In pPb collisions, the strange hadron production is asymmetric about the nucleon-nucleon center-of-mass rapidity. Enhancements, which depend on the particle type, are observed in the direction of the Pb beam. The results are compared with predictions from EPOS LHC, which includes parametrized radial flow. The model is in qualitative agreement with the $R_{pPb}$ data, but fails to describe the dependence on particle species in the yield asymmetries measured away from midrapidity in pPb collisions. $Y_{asym}$ in p+Pb at $\sqrt{s}$=5.02 TeV in 1.3 < |$y_{CM}$| < 1.8

    HEPDataarrow_drop_down
    HEPData
    Dataset . 2021
    Data sources: Datacite
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      HEPData
      Dataset . 2021
      Data sources: Datacite
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  • Authors: McCreanor, Niall G.; Stanton, Steven; Bower, John F.;

    An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures. Related Article: Niall G. McCreanor, Steven Stanton, and John F. Bower|2016|J.Am.Chem.Soc.|138|11465|doi:10.1021/jacs.6b07046

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  • Authors: ATLAS Collaboration;

    - CERN-LHC. Detailed measurements of $t$-channel single top-quark production are presented. They use $20.2~\mathrm{fb}^{-1}$ of data collected by the ATLAS experiment in proton--proton collisions at a centre-of-mass energy of 8 TeV at the LHC. Total, fiducial and differential cross-sections are measured for both top-quark and top-antiquark production. The fiducial cross-section is measured with a precision of $5.8~\%$ (top quark) and $7.8~\%$ (top antiquark), respectively. The total cross-sections are measured to be $\sigma_\mathrm{tot}(tq) = 56.7^{+4.3}_{-3.8}\;\mathrm{pb}$ for top-quark production and $\sigma_\mathrm{tot}(\bar{t} q) = 32.9^{+3.0}_{-2.7}\;\mathrm{pb}$ for top-antiquark production, in agreement with the Standard Model prediction. In addition, the ratio of top-quark to top-antiquark production cross-sections is determined to be $R_t=1.72 \pm 0.09$. The differential cross-sections as a function of the transverse momentum and rapidity of both the top quark and the top antiquark are measured at both the parton and particle levels. The transverse momentum and rapidity differential cross-sections of the accompanying jet from the $t$-channel scattering are measured at particle level. All measurements are compared to various Monte Carlo predictions as well as to fixed-order QCD calculations where available. Uncertainties for the absolute differential $tq$ cross-section as a function of $p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})$ at particle level per bin ([30,45,60,75,100,150,300] GeV) in percent of $\dfrac{\mathrm{d}\sigma(tq)}{\mathrm{d}p_{\mathrm{T}}(\hat{j\hspace{-0.2mm}})}$. If the uncertainty reported in the paper is "0.0" for both the $\textit{plus}$ and $\textit{minus}$ variation, the value "+0.01" is assigned to the $\textit{plus}$ variation for technical reasons.

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    HEPData
    Dataset . 2021
    Data sources: Datacite
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      HEPDataarrow_drop_down
      HEPData
      Dataset . 2021
      Data sources: Datacite
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    Authors: Defossez, Emmanuel; Courbaud, Benoît; Lasbouygues, Olivier; Schiffers, Katja; +1 Authors

    Investigating how interactions among plants depend on environmental conditions is key to understand and predict plant communities’ response to climate change. However, while many studies have shown how direct interactions change along climatic gradients, indirect interactions have received far less attention. In this study, we aim at contributing to a more complete understanding of how biotic interactions are modulated by climatic conditions. We investigated both direct and indirect effects of adult tree canopy and ground vegetation on seedling growth and survival in five tree species in the French Alps. To explore the effect of environmental conditions, the experiment was carried out at 10 sites along a climatic gradient closely related to temperature. While seedling growth was little affected by direct and indirect interactions, seedling survival showed significant patterns across multiple species. Ground vegetation had a strong direct competitive effect on seedling survival under warmer conditions. This effect decreased or shifted to facilitation at lower temperatures. While the confidence intervals were wider for the effect of adult canopy, it displayed the same pattern. The monitoring of micro-environmental conditions revealed that competition by ground vegetation in warmer sites could be related to reduced water availability; and weak facilitation by adult canopy in colder sites to protection against frost. For a cold-intolerant and shade-tolerant species (Fagus sylvatica), adult canopy indirectly facilitated seedling survival by suppressing ground vegetation at high temperature sites. The other more cold tolerant species did not show this indirect effect (Pinus uncinata, Larix decidua and Abies alba). Our results support the widely observed pattern of stronger direct competition in more productive climates. However, for shade tolerant species, the effect of direct competition may be buffered by tree canopies reducing the competition of ground vegetation, resulting in an opposite trend for indirect interactions across the climatic gradient. Seedling first year survivalData used seedling survival analysis (see https://github.com/kunstler/indirect.effect.climaten for R code)data.seedling.survival.csvSeedling growth dataData for seedling growth analysis (see https://github.com/kunstler/indirect.effect.climate)data.seedling.growth.csvDaily climatic data per plotDaily climatic data per plotdata.climate.all.csvData on ground vegetation cover and light interceptiondata.herb.light.csvAnnual climatic data per site in open areadata.clim.mean.csv

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    DRYAD; NARCIS
    Dataset . 2015
    License: CC 0
    Data sources: Datacite; NARCIS
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    ZENODO
    Dataset . 2015
    License: CC 0
    Data sources: ZENODO
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    DANS-EASY
    Dataset . 2015
    Data sources: B2FIND
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      DRYAD; NARCIS
      Dataset . 2015
      License: CC 0
      Data sources: Datacite; NARCIS
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      ZENODO
      Dataset . 2015
      License: CC 0
      Data sources: ZENODO
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      DANS-EASY
      Dataset . 2015
      Data sources: B2FIND
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  • Authors: Li, Mengyuan; Ako, A.M.; Lan, Yanhua; Wernsdorfer, W.; +5 Authors

    An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures. Related Article: Mengyuan Li, Yanhua Lan, A.M.Ako, W.Wernsdorfer, C.E.Anson, G.Buth, A.K.Powell, Zheming Wang, Song Gao|2010|Inorg.Chem.|49|11587|doi:10.1021/ic101754g Related Article: Mengyuan Li, A.M.Ako, Yanhua Lan, W.Wernsdorfer, G.Buth, C.E.Anson, A.K.Powell, Zheming Wang, Song Gao|2010|Dalton Trans.|39|3375|doi:10.1039/c000854k

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    Authors: Gibbin, Emma M; Gavish, Assaf; Krueger, Thomas; Kramarsky-Winter, Esti; +5 Authors

    We conducted two isotope experiments (described in Gibbin et al. 2018) to determine how the presence of pathogens influences resource partitioning in the coral holobiont. Specifically, we quantified: 1) 13C-assimilation in Symbiodinium and the amount of 13C-labelled photosynthates that are assimilated by the host; 2) the metabolic turnover of 13C in Symbiodinium and in their host and 3) the incorporation of bacterial-derived N within the tissues of the coral holobiont.NanoSIMS images (either 40×40 or 50×50 µm in size) were obtained by rasterizing a 16 keV Cs+ primary ion beam, focused to a spot-size of 150 nm, across the sample surface. Settings (dwell time = 5 ms; number of pixels = 256×256, layers = 5) were kept constant between images. Data was extracted from drift-corrected images using L'IMAGE (Dr. Larry Nittler, Carnegie Institution of Washington). Regions of interest (ROIs) were drawn around individual symbiont cells and the host gastrodermis (excluding symbionts), using the contour lines on the 12C14N- image. These ROIs were then used to quantify the average enrichment of 13C and 15N in each partner. Our measured values are expressed as Atom Percent Excess (APE, in %). Supplement to: Gibbin, Emma M; Gavish, Assaf; Krueger, Thomas; Kramarsky-Winter, Esti; Shapiro, Orr; Guiet, Romain; Jensen, Louise; Vardi, Assaf; Meibom, Anders (2018): Vibrio coralliilyticus infection triggers a behavioural response and perturbs nutritional exchange and tissue integrity in a symbiotic coral. The ISME Journal

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    PANGAEA
    Dataset . 2018
    Data sources: B2FIND
    PANGAEA - Data Publisher for Earth and Environmental Science
    Other dataset type . 2018
    License: CC BY
    Data sources: Datacite
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      PANGAEA
      Dataset . 2018
      Data sources: B2FIND
      PANGAEA - Data Publisher for Earth and Environmental Science
      Other dataset type . 2018
      License: CC BY
      Data sources: Datacite
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  • Authors: Noinart, Jidapa; Buttachon, Suradet; Dethoup, Tida; Gales, Luís; +8 Authors

    An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures. Related Article: Jidapa Noinart, Suradet Buttachon, Tida Dethoup, Luís Gales, José A. Pereira, Ralph Urbatzka, Sara Freitas, Michael Lee, Artur M. S. Silva, Madalena M. M. Pinto, Vítor Vasconcelos, Anake Kijjoa|2017|Marine Drugs|15|139|doi:10.3390/md15050139