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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
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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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  • 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: Lipar, Matej; Ferk, Mateja;

    We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).

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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

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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
      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

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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
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      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: Cuesta-Mosquera, Andrea; Glojek, Kristina; Močnik, Griša; Müller, Thomas;

    This dataset contains the field measurements collected and used in the scientific study “Optical properties and simple forcing efficiency of the organic aerosols and black carbon emitted by residential wood burning in rural Central Europe” by Andrea Cuesta-Mosquera et al.

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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    Authors: Vodopivec, Martin;

    ADCP and CTD data from field campaigns at S1-GB site (Po delta, Italy) performed in the scope of the JERICO-S3 PoGo project. This is raw data as collected by both instruments. The CTD prototype is under development at National Institute of Biology, Marine Biology Station Piran and hasn't been fully calibrated. The values likely somewhat differ from the actual temperature and salinity. Updated values will be added to the repository after final calibration.The project report will be available at: https://www.jerico-ri.eu/ta/call-program/third-call/

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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
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  • Authors: John Hancock;
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    Authors: Babič, Katja; Strojnik, Lidija; Ćirić, Andrija; Ogrinc, Nives;

    In the Excel file 'Tables&Graphs', data is collected across seven sheets. Sheet 'Table 1' contains all the conditions that were tested. The sheet 'Data for PCA' gathers raw data for 4 different dry-cured hams, with each listing the corresponding % area. Sheets 'Fig 1 - Fig 3' contains data for method optimization. In the last tab, 'Compounds identified in the Karst dry-cured ham' are listed, including their Kovats Index (KI), Retention Index (RI), and identification (ID).

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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    Authors: Lipar, Matej; Ferk, Mateja;

    We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).

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    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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  • 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

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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: Lipar, Matej; Ferk, Mateja;

    We provide continuous bihourly temperature and humidity data (2021-2023) of five caves and two blowholes from an arid and one of the largest contiguous karst areas in the world, the Nullarbor Plain in south Australia. The data were recorded with ten TGP-4500 Tinytag Plus 2 self-contained temperature (resolution ±0.01°C or better with reading range from -25°C to +85°C) and relative humidity (resolution ±3.0% or better with reading range from 0% to 100%) data loggers, and are available in a spreadsheet form. The data have great potential to provide insight into karst underground processes, air mass movements, hydrogeology, speleothems and (palaeo)climate, current climatic changes, and biology. This data is largely a continuation of measurements beginning in 2021 (published in PANGAEA doi:10.1594/PANGAEA.939075), and additionally supplements Lipar & Ferk (2022; doi:10.3390/data7030030). Additional funding: Australian Speleological Federation Karst Conservation Fund (https://www.caves.org.au/conservation/karst-conservation-fund).

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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
      License: CC BY
      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
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
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    Authors: Cuesta-Mosquera, Andrea; Glojek, Kristina; Močnik, Griša; Müller, Thomas;

    This dataset contains the field measurements collected and used in the scientific study “Optical properties and simple forcing efficiency of the organic aerosols and black carbon emitted by residential wood burning in rural Central Europe” by Andrea Cuesta-Mosquera et al.

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    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/ 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 . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      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: Vodopivec, Martin;

    ADCP and CTD data from field campaigns at S1-GB site (Po delta, Italy) performed in the scope of the JERICO-S3 PoGo project. This is raw data as collected by both instruments. The CTD prototype is under development at National Institute of Biology, Marine Biology Station Piran and hasn't been fully calibrated. The values likely somewhat differ from the actual temperature and salinity. Updated values will be added to the repository after final calibration.The project report will be available at: https://www.jerico-ri.eu/ta/call-program/third-call/