Search results

  1. 1.
    0637780 - FZÚ DATA Vědecká data      2025
    Železný, Vladimír - Prado, Esther - Barriuso, E. - Algarabel, P.A. - Pardo, J.A. - Kamba, Stanislav (Autor)

    HZO dataset.

    Popis: Data in ASCII format related to the figures in the publication. The data files are grouped into directories corresponding to the figures. They contain all relevant data of the experiments displayed in the figures.

    Fig.1 ceramics.dat, hfo.dat, zro.dat
    Fig.2 calc.dat, exp.dat
    Fig.3 film10nm.dat, film30nm.dat, film90nm.dat, zirconia.dat
    Fig.4 eps1_YSZ.dat, eps2_YSZ.dat
    Fig.5 YSZeps1.dat, YSZeps2.dat
    Fig.6 filmal2o3par.dat, filmal2o3per.dat, subal2o3par.dat, subal2o3per.dat
    Fig.7 eps1al2o3_par, eps1al2o3_per.dat, eps2al2o3_par.dat, eps2al2o3_per.dat
    Fig.8 12nmpar.dat, 12nmper.dat, 30nmpar.dat, 30nmper.dat
    Fig.9 12nmpar.dat, 12nmper.dat, 30nmpar.dat, 30nmper.dat
    Klíčová slova: infrared spectroscopy * materials for CMOS devices * HfO2 thin films
    Grant CEP: GA ČR(CZ) GA24-10791S; GA MŠMT(CZ) EH22_008/0004594
    Institucionální podpora: RVO:68378271
    Obor OECD: Condensed matter physics (including formerly solid state physics, supercond.)
    DOI: https://doi.org/10.57680/asep.0637780
    Handle: https://hdl.handle.net/11104/0368581
    Vkladatel: admin
    Datum publikování: 31.7.2025

     
         Licence: CC BY 4.0 - Attribution-International license
     
    Název souboru StaženoVelikostKomentářPřístup
    HZO_dataset_upload_ASEP.zip File list1881.9 KBpovolen
    Grant CEP: GA ČR(CZ) GA24-10791S; GA MŠMT(CZ) EH22_008/0004594
    Institucionální podpora: RVO:68378271
  2. 2.
    0637430 - ÚVGZ DATA Vědecká data      2025
    Hlavsová, Monika

    Dataset. Global drought impacts in near-real-time: a media-based database for drought impact reporting.
    [Dataset. Global drought impacts in near-real-time: a media-based database for drought impact reporting.]

    Popis: The dataset includes drought impact data collection used and published with the article Global drought impacts in near-real-time: a media-based database for drought impact reporting to support included case study and present global drought impact database structure. The dataset includes a sample of the global drought impact database, used for the case study for 2022 drought event in European countries. The database includes structured data from online articles text mining, including information about impacts of drought events. The data sample includes following attributes: Title (title of the original published online article), Impact category (Assigned impact category, from the impact categories list), Impact subcategory (Assigned impact subcategory, from the impact categories list), Date of publish (date of publication of the original online article), Month of impact (Assigned month of impact occurrence), Continent (Assigned continent from continent list), Country (Assigned country) from country list, LGU1 (Assigned lower geographical unit from LGU list, if available), LGU1_CODE (Assigned code of LGU), Specific geography (Text description of geographical specifics of the drought impact occurrence), River (River of the impact, if available), Water body (Water body of the impact if available), IPCC Region (Assigned IPCC region of the impact occurrence) and Report URL (Original resource locator of the online report).
    Klíčová slova: drought * drought impact * text mining
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
    Obor OECD: Climatic research
    DOI: https://doi.org/10.57680/asep.0637430
    Handle: https://hdl.handle.net/11104/0368479
    Vkladatel: Hlavsová, Monika
    Datum publikování: 28.7.2025
    Global drought impacts in near-real-time: a media-based database for drought impact reporting

     
         License: CC BY 4.0 - Attribution-International license
     
    File DownloadSizeCommentaryAccess
    Dataset_Case_studies.xlsx576.7 KBopen-access
    R&D Projects: GA MŠMT(CZ) EH22_008/0004635
    Institutional support: RVO:86652079
  3. 3.
    0637420 - ÚEM DATA Vědecká data      2025
    Čaryjeva, Arzuv (Autor)

    Structured Folders Template for Research Projects and Experiments.

    Popis: This ready-to-use folder template helps researchers organize their data, documentation, and code from the very beginning of a project or experiment. Researchers can simply download, unzip, and adapt the structure to their specific project needs. The template also includes an example README file to guide consistent documentation throughout the project lifecycle.

    Klíčová slova: Template * File organisation * Research Data Management
    Institucionální podpora: RVO:68378041
    Obor OECD: 1. Natural Sciences
    DOI: https://doi.org/10.57680/asep.0637420
    Handle: https://hdl.handle.net/11104/0368285
    Vkladatel: Data Steward
    Datum publikování: 16.7.2025
     

     
         Licence: CC BY 4.0 - Attribution-International license
     
    Název souboru StaženoVelikostKomentářPřístup
    TemplateFolderStructure_IEM_CAS_General.zip File list176 KBpovolen
    Institucionální podpora: RVO:68378041
    DatumPolePřed změnouPo změně
    17.7.2025Data file nameStructured Folders Template for Research Projects and ExperimentsStructured Folders Template for Research Projects and Experiments.
  4. 4.
    0637418 - ÚEM DATA Vědecká data      2025
    Čaryjeva, Arzuv (Autor)

    Customised Institutional General README file template for the documenting datasets for long-term preservation.

    Popis: This template provides a standardized structure for creating a README file to accompany datasets intended for long-term preservation and sharing. It helps to ensure your data is understandable, reusable, and compliant with FAIR principles (Findable, Accessible, Interoperable, Reusable).
    Researchers can download this template, fill in the information, and include it in their folders.
    This template is adapted from the DataverseNO README File Template - General. Available at: https://doi.org/10.5281/zenodo.10849096

    Klíčová slova: README file * Documentation * Template
    Institucionální podpora: RVO:68378041
    Obor OECD: 1. Natural Sciences
    DOI: https://doi.org/10.57680/asep.0637418
    Handle: https://hdl.handle.net/11104/0368282
    Vkladatel: Data Steward
    Datum publikování: 16.7.2025
     

     
         Licence: CC BY 4.0 - Attribution-International license
     
    Název souboru StaženoVelikostKomentářPřístup
    IEM_CAS_README_file_template_general_v1_0.txt207.7 KBpovolen
    Institutional support: RVO:68378041
    DateTagBefore changeAfter change
    23.7.2025Data file nameCustomised Institutional General README file template for the documenting datasets for long-term preservation 2Customised Institutional General README file template for the documenting datasets for long-term preservation
    23.7.2025Data file nameCustomised Institutional General README file template for the documenting datasets for long-term preservationCustomised Institutional General README file template for the documenting datasets for long-term preservation 2
    23.7.2025Data file nameCustomised Institutional General README file template for the documenting datasets for long-term preservation 2Customised Institutional General README file template for the documenting datasets for long-term preservation
    23.7.2025Data file nameCustomised Institutional General README file template for the documenting datasets for long-term preservationCustomised Institutional General README file template for the documenting datasets for long-term preservation 2
    23.7.2025Data file nameCustomised Institutional General README file template for the documenting datasets for long-term preservation 1Customised Institutional General README file template for the documenting datasets for long-term preservation
    23.7.2025Data file nameCustomised Institutional General README file template for the documenting datasets for long-term preservationCustomised Institutional General README file template for the documenting datasets for long-term preservation 1
  5. 5.
    0637210 - ÚOCHB DATA Scientific data      2025
    Brynda, Jiří - Pospíšilová, Klára - Řezáčová, Pavlína - Kudová, Eva (Researcher)

    Měření inhibice karbonických anhydráz steroidními O-sulfamáty.
    [Measurement of carbonic anhydrase inhibition by steroidal O-sulfamates.]

    Description: Soubory programu excel s daty inhibice karbonických anhydráz steroidními O-sulfamáty a regrese zvoleným matematickým modelem.
    [Excel files with data on carbonic anhydrase inhibition by steroid O-sulfamates and regression using the selected mathematical model.]
    Technical informations: Soubory formátu xls a ReadMe file v docx a pdf formátu
    Keywords : carbonic anhydrase inhibition * steroids * O-sulfamates
    R&D Projects: GA MŠMT LX22NPO5102; GA MŠMT(CZ) LX22NPO5104
    Institutional support: RVO:61388963
    OECD category: Biochemistry and molecular biology
    DOI: https://doi.org/10.57680/asep.0637210
    Handle: https://hdl.handle.net/11104/0368275
    Depositor: Brynda, Jiří
    Date of release: 18.7.2025

     
         Licence: CC BY 4.0 - Attribution-International license
     
    Název souboru StaženoVelikostKomentářPřístup
    steroid_sulfamates_export.zip File list17742.3 KBpovolen
    Grant CEP: GA MŠMT LX22NPO5102; GA MŠMT(CZ) LX22NPO5104
    Institucionální podpora: RVO:61388963
  6. 6.
    0637155 - FZÚ DATA Vědecká data      2025
    Ryabchikov, Yury V.

    Data for Arxiv IEEE 2025 Ryabchikov.

    Popis: The dataset contains the original data of experimental measurements for the manuscript submitted to the IEEE Proceedings:
    Authors: Yury V. Ryabchikov, Antonin Kana
    Title: Properties of Silicon-8-Metals Nanocomposite Colloidal Solutions Synthesized by Ultrafast Laser Processing
    Submission date: July 01, 2025
    The detailed description of each file in the format *.png is given in the txt-file ReadMe.
    The data were used to produce figures presented in the manuscript.

    Klíčová slova: pulsed laser ablation in liquids * nanocomposites * silicon nanoparticles * plasmonic nanoparticles * hyperthermia * high-entropy alloys
    Grant CEP: GA MŠMT(CZ) EH22_008/0004596
    GRANT EU: European Commission(XE) 897231 - LADENTHER
    Institucionální podpora: RVO:68378271
    Obor OECD: Nano-materials (production and properties)
    DOI: https://doi.org/10.57680/asep.0637155
    Handle: https://hdl.handle.net/11104/0368083
    Vkladatel: admin
    Datum publikování: 7.7.2025

     
         Licence: CC BY 4.0 - Attribution-International license
     
    Název souboru StaženoVelikostKomentářPřístup
    Arxiv_IEEE_2025_Ryabchikov.zip File list29104.4 KBpovolen
    Grant CEP: GA MŠMT(CZ) EH22_008/0004596
    GRANT EU: European Commission(XE) 897231 - LADENTHER
    Institucionální podpora: RVO:68378271
  7. 7.
    0636791 - ÚVGZ DATA Vědecká data      2025
    Šigut, Ladislav

    Data - Addressing Challenges in Simulating Inter–Annual Variability of Gross Primary Production.

    Popis: The codes that were used to perform all the necessary analyses and plot all the figures in this study are available at https://doi.org/10.5281/zenodo.13729514 (De, 2025). The data from eddy covariance sites are available through FLUXNET at https://fluxnet.org/data/fluxnet2015‐dataset/, and the Digital Object Identifier (DOI) of the data set for each site are listed in the Table S8 of Supporting Information S1 (Pastorello et al., 2020; FLUXNET. org, 2024a). The FluxnetEO MODIS version 2 data set is available at https://doi.org/10.18160/0KWD‐ 3RRW (Walther et al., 2022, 2023). The ERA5 data set is available at https://doi.org/10.24381/cds.adbb2d47 Hersbach et al. (2023). The ERA‐Interim v2.0 data set has been currently archived by ECMWF; however, it can be accessed following these instructions (Berrisford et al., 2011). Atmospheric CO2 measurements at Mauna Loa observatory are available at https://doi.org/10.15138/yaf1‐bk21 (Thoning et al., 2021).
    [The codes that were used to perform all the necessary analyses and plot all the figures in this study are available at https://doi.org/10.5281/zenodo.13729514 (De, 2025). The data from eddy covariance sites are available through FLUXNET at https://fluxnet.org/data/fluxnet2015‐dataset/, and the Digital Object Identifier (DOI) of the data set for each site are listed in the Table S8 of Supporting Information S1 (Pastorello et al., 2020; FLUXNET. org, 2024a). The FluxnetEO MODIS version 2 data set is available at https://doi.org/10.18160/0KWD‐ 3RRW (Walther et al., 2022, 2023). The ERA5 data set is available at https://doi.org/10.24381/cds.adbb2d47 Hersbach et al. (2023). The ERA‐Interim v2.0 data set has been currently archived by ECMWF; however, it can be accessed following these instructions (Berrisford et al., 2011). Atmospheric CO2 measurements at Mauna Loa observatory are available at https://doi.org/10.15138/yaf1‐bk21 (Thoning et al., 2021).]
    Klíčová slova: eddy covariance * SCHISM model
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
    Obor OECD: Meteorology and atmospheric sciences
    Web výsledku:
    https://fluxnet.org/data/fluxnet2015-dataset/ https://doi.org/10.18160/0KWD‐3RRW https://doi.org/10.24381/cds.adbb2d47 https://doi.org/10.15138/yaf1‐bk21
    Trvalý link: https://hdl.handle.net/11104/0367793
    Vkladatel: 2
    Datum publikování: 24.7.2025
     
    Addressing Challenges in Simulating Inter–Annual Variability of Gross Primary Production
     
         Licence: CC BY 4.0 - Attribution-International license
     
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
  8. 8.
    0636788 - ÚVGZ DATA Vědecká data      2025
    Kersebaum, Kurt Christian

    Data - Evaluating the AgMIP calibration protocol for crop models; case study and new diagnostic tests.

    Popis: The dataset includes microbiological and genomic data publicly available within the article. It comprises 1,035 samples collected from 14 pig slaughterhouses in France (2021–2023), including environmental and animal-derived samples tested for Salmonella spp. The data cover serotype distribution, antimicrobial susceptibility profiles of 212 isolates (MIC-based), and whole genome sequencing results for selected strains, including resistance genes and sequence types.
    [The dataset includes microbiological and genomic data publicly available within the article. It comprises 1,035 samples collected from 14 pig slaughterhouses in France (2021–2023), including environmental and animal-derived samples tested for Salmonella spp. The data cover serotype distribution, antimicrobial susceptibility profiles of 212 isolates (MIC-based), and whole genome sequencing results for selected strains, including resistance genes and sequence types.]
    Klíčová slova: crop model * Parameter selection * Diagnostic tools
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
    Obor OECD: Agriculture
    Trvalý link: https://hdl.handle.net/11104/0367784
    Vkladatel: 2
    Jiné zdroje dat: data1, data2
    Datum publikování: 24.6.2025
     
    Evaluating the AgMIP calibration protocol for crop models, case study and new diagnostic tests

     
         Licence: CC BY 4.0 - Attribution-International license
     
    Název souboru StaženoVelikostKomentářPřístup
    Data_pdf.pdf41854.3 KBpovolen
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
  9. 9.
    0636349 - FZÚ DATA Vědecká data      2025
    Křehlíková, Kateřina - Vaněček, Vojtěch - Král, Robert - Kučerková, Romana - Zemenová, Petra - Rohlíček, Jan - Průša, Petr - Rubešová, K.

    Cs2Li3I5 Krehlikova et al.

    Popis: Additional information is available in the readme.txt file.
    Klíčová slova: crystal growth * Bridgman method * halides * luminescence * scintillator
    Grant CEP: GA MŠMT(CZ) EH23_020/0008525
    Institucionální podpora: RVO:68378271
    Obor OECD: Condensed matter physics (including formerly solid state physics, supercond.)
    DOI: https://doi.org/10.57680/asep.0636349
    Handle: https://hdl.handle.net/11104/0367272
    Vkladatel: admin
    Datum publikování: 13.6.2025

     
         Licence: CC BY 4.0 - Attribution-International license
     
    Název souboru StaženoVelikostKomentářPřístup
    Cs2Li3I5_Krehlikova_et_al.zip File list75297.9 KBpovolen
    Grant CEP: GA MŠMT(CZ) EH23_020/0008525
    Institucionální podpora: RVO:68378271
  10. 10.
    0636315 - FZÚ DATA Vědecká data      2025
    Remeš, Zdeněk - Neykova, N. - Jain, N. - Sharma, R.K. - Holovský, J. - Ukraintsev, E. - Kuliček, J. - Rezek, B. - Hsu, H.S.

    Optical, electrical and surface properties of bare and Al-doped nanocrystalline ZnO thin films prepared by pulsed laser deposition on interdigital electrodes.

    Popis: Additional information is available in the readme.txt file.
    Klíčová slova: ZnO thin films * photocurrent * pulsed laser deposition * interdigitated electrodes
    Grant CEP: GA ČR(CZ) GC24-10607J
    Institucionální podpora: RVO:68378271
    Obor OECD: Condensed matter physics (including formerly solid state physics, supercond.)
    DOI: https://doi.org/10.57680/asep.0636315
    Handle: https://hdl.handle.net/11104/0367270
    Vkladatel: admin
    Datum publikování: 13.6.2025

     
         Licence: CC BY 4.0 - Attribution-International license
     
    Název souboru StaženoVelikostKomentářPřístup
    Data_Remes.7z File list21.8 MBvyžádat
    R&D Projects: GA ČR(CZ) GC24-10607J
    Institutional support: RVO:68378271

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