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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: Sirvent, Juan de Dios; Carmona, Albert; Rapenne, Laetitia; Chiabrera, Francesco; +4 Authors

    Dataset for article "Nanostructured La0.75Sr0.25Cr0.5Mn0.5O3–Ce0.8Sm0.2O2 Heterointerfaces as All-Ceramic Functional Layers for Solid Oxide Fuel Cell Applications" published in ACS Appl. Mater. Interfaces 2022. The data includes: Schematic on the nanostructures fabricated for the work (Figure 1) Top view AFM images of the nanostructures studied (Figure 3) TEM-EDX images of the nanostructures studied (Figure 4) ASTAR analysis of the nanostructures studied (Figure 5) X-Ray Diffraction data of thin films with composition: La0.75Sr0.25Cr0.5Mn0.5O3 (LSCrMn), Ce0.8Sm0.2O2 (SDC), and two La0.75Sr0.25Cr0.5Mn0.5O3–Ce0.8Sm0.2O2 (LSCrMn-SDC) nanostructures -bilayer (BL) and nanocomposite (NC)- Electrochemical Impedance Spectroscopy raw data for LSCrMn, SDC and LSCrMn-SDC thin films measured under air and wet hydrogen atmospheres at different temperatures (630-750 ºC) Arrhenius analysis of the area specific resistance (ASR) of the films under air and hydrogen atmospheres In-plane conductivity evolution with temperature data measured under air and 5% hydrogen atmospheres of the two LSCrMn-SDC nanostructures ASR evolution with time measured for over 400 h at 780 ºC

    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
    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 . 2022
    License: CC BY
    Data sources: Datacite
    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 . 2022
    License: CC BY
    Data sources: ZENODO; Sygma
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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/ ZENODOarrow_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/
      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO; Sygma
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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: Thomas Gimpel; Jure Žigon; Christian F. Otto; Martin Söftje; +3 Authors

    Abstract The processing of Norway spruce and European beech wood specimens by means of femtosecond laser pulses was investigated on conditioned natural samples as well as on samples coated with beeswax or a water-borne stain. Depending on laser pulse energies and processing times, this allowed for different modes of surface modification. At low laser intensities, an etching almost without thermal impact was detected, whereas higher laser intensities led to the generation of hierarchical micro and nanostructures. The usage of argon or atmospheric air as cover gases during the laser processing had only minor effects on the surface structures. Observed differences in the etching or functionalization of the wooden surfaces mostly originated in the chemical structure of the surface finish and the physical properties of the wood substrates, such as the density or moisture content. Manuscript submitted to journal Holzforschung, 2020

    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 . 2020
    License: CC BY
    Data sources: ZENODO; Sygma
    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 . 2020
    License: CC BY
    Data sources: Datacite; Sygma
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: ZENODO; Sygma
      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 . 2020
      License: CC BY
      Data sources: Datacite; Sygma
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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: Miha Srdinšek; Tomaž Prosen; Spyros Sotiriadis;

    This dataset contains low-energy spectra and eigenvectors of two (1+1)-dimensional Quantum Field Theory models, the sine-Gordon (SG) and the double sine-Gordon (DSG) model, for a representative choice of parameter values. The data were computed using the Truncated Conformal Space Approach (TCSA), which is a Hamiltonian truncation method. Parameters: Cosine frequencies: β = 2.49239 for SG and β1 = 1.01066 and β2 = 2.49239 for DSG Dimensionless (mass)⨉(system size) parameter (m: first SG breather mass, L: system size): mL = 0.01, 0.1, 1, 2, 5 TCSA details: truncation basis: free massless boson CFT with Dirichlet boundary conditions, restricted to the ground state symmetry sector truncation cutoff (maximum CFT energy shell): 42 basis size: 85674 The spectra correspond to the full list of eigenvalues of the truncated Hamiltonian matrices in increasing order, and the eigenvectors correspond to matrices of dimensions 5173⨉5173, corresponding to the components of the lowest 5173 energy levels in the lowest 5173 basis states (the best convergent part of the eigenvector matrix at the top left corner). Each eigenvector corresponds to a column of the above matrices, in the same order as the eigenvalues. Format: Python NumPy .npy files The filenames are of the form: descriptor_model_mLx.npy where: descriptor = "Spectrum" or "Eigenvectors" model = "SG" or "DSG" x = 0.01, 0.1, 1, 2 or 5 (mL value) Funding information: Slovenian Research Agency (ARRS) Grants N1-0109 and P1-0402 ERC Advanced Grant 694544 – OMNES

    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 . 2020
    License: CC BY
    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/
    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2020
      License: CC BY
      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/
      ZENODO
      Dataset . 2020
      License: CC BY
      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: Ghosh, Kalyan; Pumera, Martin;

    Raw data of journal article "Free-standing electrochemically coated MoSx based 3D-printed nanocarbon electrode for solid-state supercapacitor application" DOI: 10.1039/d0nr06479c

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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    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 . 2021
    License: CC BY
    Data sources: ZENODO; Sygma
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
      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 . 2021
      License: CC BY
      Data sources: ZENODO; Sygma
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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: Popovski, Gorjan; Koroušić Seljak, Barbara; Eftimov, Tome;

    A dataset providing food concept normalization using different food ontologies. There are four data sets which describe the unique food concepts from each ontology, and one main file which provides the mapping between the different ontologies. All files are in two formats (.csv, .xlsx). The prefixes for each dataset are as follows: "A" - Hansard Corpus "B" - FOODON "C" - SNOMEDCT "D" - OF

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    ZENODO
    Dataset . 2019
    License: CC BY NC SA
    Data sources: ZENODO
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      ZENODO
      Dataset . 2019
      License: CC BY NC SA
      Data sources: ZENODO
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    Authors: Ng, Siowwoon; Ghosh, Kalyan;

    Raw data of published article "Two-dimensional vanadium sulfide flexible graphite/polymer films for near-infrared photoelectrocatalysis and electrochemical energy storage", DOI: 10.1016/j.cej.2022.135131

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO; Sygma
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO; Sygma
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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    Authors: Aviral Goel; Pierre Donat Bouillud; Filip Krikava; Christoph Kirsch; +1 Authors

    Dataset for the artifact (https://doi.org/10.5281/zenodo.5415229) and the paper Why We Eval in the Shadows? It corresponds to the alternative step in the artifact, for those who want to reproduce our results without having a cluster, and with the same version of CRAN as we had.

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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
    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 . 2021
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Dataset . 2021
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      Data sources: Datacite
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: ZENODO
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    Authors: Ristić, Predrag; Todorović, Tamara; Blagojević, Vladimir A.; Klisurić, Olivera; +9 Authors

    Table S1. Crystallographic data and refinement parameters for SQUEEZED 3 with general formula {[Ag2(H2BTEC)(L)2]}∞; Table S2. Pairwise interaction energies in the crystal structure of 1 based on B3LYP/ DGDZVP energy mode; Table S3. Pairwise interaction energies in the crystal structure of 2 based on B3LYP/ DGDZVP energy mode; Table S4. Pairwise interaction energies in the crystal structure of 3 based on B3LYP/ DGDZVP energy model; Table S5. Pairwise interaction energies in the crystal structure of 4 based on B3LYP/ DGDZVP energy model; Powder X-ray diffraction analysis: All samples correspond to the single-phase X-ray powder patterns (Figure S1) in accordance with the structural model obtained by the single-crystal X-ray diffraction. It should be noted that the best overlap of peaks in the powder pattern for 3 was obtained using SQUEEZED cif single crystal data. According to the results of powder X-ray structural analysis, as well as thermogravimetric analysis, 3 readily loses solvent water molecules without change of the structure. For 1, 2 and 4, given the absence of any secondary phases, it can be concluded that all of the samples are stable in air under conditions of manual pulverization required to create powder samples from single crystals. Supplementary material for: [http://dx.doi.org/10.1021/acs.cgd.0c00287] Related to published version: [https://hdl.handle.net/21.15107/rcub_dais_8960] Related to accepted version: [https://hdl.handle.net/21.15107/rcub_dais_8956]

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    Authors: Turcotte, Alexi; Goel, Aviral; Krikava, Filip; Vitek, Jan;

    This dataset is intended to accompany the paper "Designing Types for R, Empirically" (@ OOPSLA'20, link to paper). This data was obtained by running the Typetracer (aka propagatr) dynamic analysis tool (link to tool) on the test, example, and vignette code of a corpus of >400 extensively used R packages. Specifically, this dataset contains: function type traces for >400 R packages (raw-traces.tar.gz); trace data processed into a more readable/usable form (processed-traces.tar.gz), which was used in obtaining results in the paper; inferred type declarations for the >400 R packages using various strategies to merge the processed traces (see type-declarations-* directories), and finally; contract assertion data from running the reverse dependencies of these packages and checking function usage against the declared types (contract-assertion-reverse-dependencies.tar.gz). A preprint of the paper is also included, which summarizes our findings. Fair warning Re: data size: the raw traces, once uncompressed, take up nearly 600GB. The already processed traces are in the 10s of GB, which should be more manageable for a consumer-grade computer.

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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2020
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      Data sources: ZENODO
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
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    Authors: Nikolić, Stefan; Ćirić, Ivanka; Roller, Alexander; Lukeš, Vladimir; +2 Authors

    Supplementary material for: [https://doi.org/10.1039/c7nj00965h] Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/2485] Related to accepted version: [http://cherry.chem.bg.ac.rs/handle/123456789/3124]

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    Authors: Sirvent, Juan de Dios; Carmona, Albert; Rapenne, Laetitia; Chiabrera, Francesco; +4 Authors

    Dataset for article "Nanostructured La0.75Sr0.25Cr0.5Mn0.5O3–Ce0.8Sm0.2O2 Heterointerfaces as All-Ceramic Functional Layers for Solid Oxide Fuel Cell Applications" published in ACS Appl. Mater. Interfaces 2022. The data includes: Schematic on the nanostructures fabricated for the work (Figure 1) Top view AFM images of the nanostructures studied (Figure 3) TEM-EDX images of the nanostructures studied (Figure 4) ASTAR analysis of the nanostructures studied (Figure 5) X-Ray Diffraction data of thin films with composition: La0.75Sr0.25Cr0.5Mn0.5O3 (LSCrMn), Ce0.8Sm0.2O2 (SDC), and two La0.75Sr0.25Cr0.5Mn0.5O3–Ce0.8Sm0.2O2 (LSCrMn-SDC) nanostructures -bilayer (BL) and nanocomposite (NC)- Electrochemical Impedance Spectroscopy raw data for LSCrMn, SDC and LSCrMn-SDC thin films measured under air and wet hydrogen atmospheres at different temperatures (630-750 ºC) Arrhenius analysis of the area specific resistance (ASR) of the films under air and hydrogen atmospheres In-plane conductivity evolution with temperature data measured under air and 5% hydrogen atmospheres of the two LSCrMn-SDC nanostructures ASR evolution with time measured for over 400 h at 780 ºC

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO; Sygma
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO; Sygma
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    Authors: Thomas Gimpel; Jure Žigon; Christian F. Otto; Martin Söftje; +3 Authors

    Abstract The processing of Norway spruce and European beech wood specimens by means of femtosecond laser pulses was investigated on conditioned natural samples as well as on samples coated with beeswax or a water-borne stain. Depending on laser pulse energies and processing times, this allowed for different modes of surface modification. At low laser intensities, an etching almost without thermal impact was detected, whereas higher laser intensities led to the generation of hierarchical micro and nanostructures. The usage of argon or atmospheric air as cover gases during the laser processing had only minor effects on the surface structures. Observed differences in the etching or functionalization of the wooden surfaces mostly originated in the chemical structure of the surface finish and the physical properties of the wood substrates, such as the density or moisture content. Manuscript submitted to journal Holzforschung, 2020

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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: ZENODO; Sygma
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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: Datacite; Sygma
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: ZENODO; Sygma
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      ZENODO
      Dataset . 2020
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      Data sources: Datacite; Sygma
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    Authors: Miha Srdinšek; Tomaž Prosen; Spyros Sotiriadis;

    This dataset contains low-energy spectra and eigenvectors of two (1+1)-dimensional Quantum Field Theory models, the sine-Gordon (SG) and the double sine-Gordon (DSG) model, for a representative choice of parameter values. The data were computed using the Truncated Conformal Space Approach (TCSA), which is a Hamiltonian truncation method. Parameters: Cosine frequencies: β = 2.49239 for SG and β1 = 1.01066 and β2 = 2.49239 for DSG Dimensionless (mass)⨉(system size) parameter (m: first SG breather mass, L: system size): mL = 0.01, 0.1, 1, 2, 5 TCSA details: truncation basis: free massless boson CFT with Dirichlet boundary conditions, restricted to the ground state symmetry sector truncation cutoff (maximum CFT energy shell): 42 basis size: 85674 The spectra correspond to the full list of eigenvalues of the truncated Hamiltonian matrices in increasing order, and the eigenvectors correspond to matrices of dimensions 5173⨉5173, corresponding to the components of the lowest 5173 energy levels in the lowest 5173 basis states (the best convergent part of the eigenvector matrix at the top left corner). Each eigenvector corresponds to a column of the above matrices, in the same order as the eigenvalues. Format: Python NumPy .npy files The filenames are of the form: descriptor_model_mLx.npy where: descriptor = "Spectrum" or "Eigenvectors" model = "SG" or "DSG" x = 0.01, 0.1, 1, 2 or 5 (mL value) Funding information: Slovenian Research Agency (ARRS) Grants N1-0109 and P1-0402 ERC Advanced Grant 694544 – OMNES

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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2020
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      ZENODO
      Dataset . 2020
      License: CC BY
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    Authors: Ghosh, Kalyan; Pumera, Martin;

    Raw data of journal article "Free-standing electrochemically coated MoSx based 3D-printed nanocarbon electrode for solid-state supercapacitor application" DOI: 10.1039/d0nr06479c

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    ZENODO
    Dataset . 2021
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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/
    ZENODO
    Dataset . 2021
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: ZENODO; Sygma
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