Výsledky vyhledávání

  1. 1.
    0617766 - ÚVGZ DATA Vědecká data      2025
    Večeřová, Kristýna

    Data pro článek: Structure-function relation of cytokinins determines their differential efficiency in mediating tobacco resistance against iPseudomonas syringae.

    Popis: Výsledky stanovení obsahu sacharidů, tokoferolu a sterolu pomocí GC/MS
    Klíčová slova: saccharides * tocopherols * sterols
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
    Obor OECD: Plant sciences, botany
    Trvalý link: https://hdl.handle.net/11104/0364633
    Vkladatel: Večeřová, Kristýna
    Datum publikování: 6.3.2025

     
         Licence: CC BY-NC 4.0 - Uveďte původ + Neužívejte komerčně Mezinárodní licence
     
    Název souboru StaženoVelikostKomentářPřístup
    Content of metabolites.xlsx354.4 KBpovolen
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
  2. 2.
    0617593 - ÚVGZ DATA Vědecká data      2025
    Pernicová, Natálie - Urban, Otmar - Čáslavský, Josef - Apiar, Jana - Vlach, Marek - Komoróczy, Balázs - Trnka, Miroslav

    Soubor primárnich izotopových dat a morfologických znaků zrn pšenice a prosa.
    [A set of primary isotopic data and morphological characteristics of wheat and millet grains.]

    Popis: Soubor primárních dat izotopových poměrů a celkového obsahu uhlíku, dusíku a kyslíku ve spálených zrnech společně se změnami morfologických charakteristik těchto zrn (váha, délka, šířka a tloušťka). Jedná se o primární výchozí data k publikaci Pernicová et al. (2025) Preservation of stable isotopic composition in charred grains: Implications for paleoenvironmental and archaeological research, který byl publikován v časopise Journal of Quaternary Research (DOI: 10.1002/jqs.3707).
    [A set of primary data of isotopic ratios and total carbon, nitrogen and oxygen contents in charred grains together with changes in morphological characteristics of these grains (weight, length, breadth, and thickness). This is the primary input data for the publication Pernicová et al. (2025) Preservation of stable isotopic composition in charred grains: Implications for paleoenvironmental and archaeological research, which was published in the Journal of Quaternary Research (DOI: 10.1002/jqs.3707).]
    Klíčová slova: stable isotopes * wheat * millet * archaeobotany * thermogravimetry
    Grant CEP: GA MŠMT LM2023048; GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:68081758Institucionální podpora: RVO:86652079
    Obor OECD: Plant sciences, botany; Plant sciences, botany (ARUB-Q)
    DOI: https://doi.org/10.57680/asep.0617593
    Handle: https://hdl.handle.net/11104/0364489
    Vkladatel: Urban, Otmar
    Datum publikování: 28.2.2025

     
         Licence: CC BY 4.0 - Uveďte původ Mezinárodní licence
     
    Název souboru StaženoVelikostKomentářPřístup
    ASEP_JQS_Datasets.xlsx6168.9 KBpovolen
    Grant CEP: GA MŠMT LM2023048; GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:68081758Institucionální podpora: RVO:86652079
  3. 3.
    0617466 - FZÚ DATA Vědecká data      2025
    Jiříček, Petr - Houdková, Jana

    Dataset paper Amourphous DLC N.

    Popis: The data for the graphs are in the “*.csv” file format. The “*.tif” file format is used for the graphs, and the tables are shown in the “*.pdf” one. The description of the files is given in the “readme.txt” file.
    Klíčová slova: depth-profile reconstruction * thin films * photoelectron-spectroscopy * maximum-entropy * XPS * spectra * sp2 * sp3 * bombardment * parameters
    Grant CEP: GA MŠMT(CZ) EH22_008/0004596; GA MŠMT LM2023051
    Grant ostatní: AV ČR(CZ) StrategieAV21/26
    Program: StrategieAV
    Institucionální podpora: RVO:68378271
    Obor OECD: Condensed matter physics (including formerly solid state physics, supercond.)
    DOI: https://doi.org/10.57680/asep.0617466
    Handle: https://hdl.handle.net/11104/0364359
    Vkladatel: admin
    Datum publikování: 26.2.2025
     
    Amorphous carbon nitride films: Surface and subsurface composition and bonding

     
         Licence: CC BY 4.0 - Uveďte původ Mezinárodní licence
     
    Název souboru StaženoVelikostKomentářPřístup
    dsata_set_paperAmourphousDLC_N.zip Přehled souborů79.7 MBpovolen
    Grant CEP: GA MŠMT(CZ) EH22_008/0004596; GA MŠMT LM2023051
    Grant ostatní: AV ČR(CZ) StrategieAV21/26
    Program: StrategieAV
    Institucionální podpora: RVO:68378271
    DatumPolePřed změnouPo změně
    27.2.2025Odkaz na publikaci v ASEPPřidán odkaz https://hdl.handle.net/11104/0357125
  4. 4.
    0616897 - ÚVGZ DATA Vědecká data      2025
    Macháčová, Kateřina

    Substantial uptake of nitrous oxide (N2O) by shoots of mature European beech.
    Verze 2      

    Popis: Generated and analysed datasets, graphics, figures and table to the article: Machacova K, Schindler T, Bréchet L, Mander U, Grams TEE (2024) Substantial uptake of nitrous oxide (N2O) by shoots of mature European beech. Science of the Total Environment; https://doi.org/10.1016/j.scitotenv.2024.173122.
    [Generated and analysed datasets, graphics, figures and table to the article: Machacova K, Schindler T, Bréchet L, Mander U, Grams TEE (2024) Substantial uptake of nitrous oxide (N2O) by shoots of mature European beech. Science of the Total Environment; https://doi.org/10.1016/j.scitotenv.2024.173122.]
    Popis změny dat: Insertion of dataset
    Klíčová slova: nitrous oxide exchange * Fagus sylvatica * forest
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
    Výzkumná infrastruktura: CzeCOS IV - 90248
    Obor OECD: Plant sciences, botany
    DOI: https://doi.org/10.57680/asep.0616897
    Handle: https://hdl.handle.net/11104/0363889
    Vkladatel: Macháčová, Kateřina
    Datum publikování: 13.2.2025
     
    Substantial uptake of nitrous oxide (N2O) by shoots of mature European beech

     
         Licence: CC BY 4.0 - Uveďte původ Mezinárodní licence
     
    Název souboru StaženoVelikostKomentářPřístup
    2019_Beech_Soil_N2O_CO2_dataset.xlsx2319.7 KBpovolen
    2019_Beech_Soil_N2O_CO2_dataset.xlsx1919.7 KBpovolen
    Číslo verzePopis změnyZadavatelPublikováno
    Verze 2Insertion of datasetMacháčová, Kateřina 13.2.2025
    Verze 1Macháčová, Kateřina 16.5.2024
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
  5. 5.
    0615014 - FZÚ DATA Vědecká data      2025
    Otta, Jaroslav - Mikuláštík, J. - Šípka, R. - Stein, M. - Kühne, Irina A. - Vrňata, M. - Vlček, Jan

    Dataset-PILs-Sensors ACS-Omega.

    Popis: Abstract: we investigate the interactions between five representative gaseous analytes and two poly(ionic liquid)s (PILs) based on the sulfopropylacrylate polyanion in combination with the alkylphosphonium cations, P4,4,4,4 and P4,4,4,8, and their nanocomposites with fullerenes (C60, C70) to reveal the potential of PILs as sensitive layers for gas sensors. The gaseous analytes were chosen based on their molecular size (all of them containing two carbon atoms) and variation of functional groups: alcohol (ethanol), nitrile (acetonitrile), aldehyde (acetaldehyde), halogenated alkane (bromoethane) and carboxylic acid (acetic acid). The six variations of PILs - P4,4,4,4SPA (1), P4,4,4,4SPA+C60 (1+C60), P4,4,4,4SPA+C70 (1+C70), and P4,4,4,8SPA (2), P4,4,4,8SPA+C60 (2+C60), P4,4,4,8SPA+C70 (2+C70) - were characterized by UV-Vis and Raman spectroscopy, and their interactions with each gaseous analyte were studied using electrochemical impedance spectroscopy. Exposure of all PIL samples to acetaldehyde, bromoethane and ethanol leads to a decrease in the diffusion coefficient, while exposure to acetic acid reveals an increase. Fullerene-doping significantly enhances the response to the analyte. Semi-empirical quantum mechanical xTB-GFN2 calculations revealed that hydrogen bonding and proton transfer events play an important role during the detection process.

    Data: Figures (as png, jpg or tif files), tables (as csv files)
    Readme.txt (Title, Authors, Affiliations, Abstract, DOI, data description)
    Klíčová slova: polymer ionic liquids * gas sensors * fullerene
    Grant CEP: GA MŠMT(CZ) EH22_008/0004596; GA ČR(CZ) GA23-05878S; GA MŠMT(CZ) EF16_019/0000760
    Institucionální podpora: RVO:68378271
    Obor OECD: Physical chemistry
    DOI: https://doi.org/10.57680/asep.0615014
    Handle: https://hdl.handle.net/11104/0363450
    Vkladatel: admin
    Datum publikování: 7.2.2025
     
    Fullerene-doped poly(ionic liquids) as small molecular gas sensors─control of intermolecular interactions

     
         Licence: CC BY 4.0 - Uveďte původ Mezinárodní licence
     
    Název souboru StaženoVelikostKomentářPřístup
    Dataset-PILs-Sensors_ACS-Omega.zip Přehled souborů183.7 MBpovolen
    Grant CEP: GA MŠMT(CZ) EH22_008/0004596; GA ČR(CZ) GA23-05878S; GA MŠMT(CZ) EF16_019/0000760
    Institucionální podpora: RVO:68378271
  6. 6.
    0605745 - ÚIACH DATA Vědecká data      2025
    Duša, Filip - Rusin, Marcelina - Smolková, Denisa - Šesták, Jozef - Dobrowolska-Iwanek, Justyna - Woźniakiewicz, Michał - Lavická, Jana

    DATASET for "Adapting the LIF detection setup of the standard CE equipment to achieve high-sensitivity detection of 2-aminoacridone-labeled oligosaccharides".

    Popis: The data are related to the manuscript "Adapting the LIF detection setup of the standard CE equipment to achieve high-sensitivity detection of 2-aminoacridone-labeled oligosaccharides".
    Data:
    1) Exported electropherograms from the MDQ plus Sciex instrument. Data are exported as one column split by defined number of data points which is noted in the head lines of each file as well as sampling rate, unit and multiplier for the data extraction. Sample name is included in the head lines and title of the file itself along with the date and time of the record.
    2) Excitation and emission fluorescence spectra of 2-aminoacridone measured in borate buffer, exported from the JASCO FP-8500 fluorescence spectrometer.
    Klíčová slova: laser-induced fluorescence * capillary electrophoresis * human milk oligosaccharides * 2-aminoacridone * instrumentation
    Grant CEP: GA ČR(CZ) GA22-00236S; GA MŠMT(CZ) 9F23002; GA MŠMT CZ.02.01.01/00/23_020/0008535
    Institucionální podpora: RVO:68081715
    Obor OECD: Analytical chemistry
    DOI: https://doi.org/10.57680/asep.0605745
    Handle: https://hdl.handle.net/11104/0364166
    Vkladatel: Lavická, Jana
    Datum publikování: 20.2.2025
    Adapting the laser-induced fluorescence detection setup of the standard capillary electrophoresis equipment to achieve high-sensitivity detection of 2-aminoacridone labeled oligosaccharides

     
         Licence: CC BY 4.0 - Uveďte původ Mezinárodní licence
     
    Název souboru StaženoVelikostKomentářPřístup
    Dataset.zip Přehled souborů81.6 MBpovolen
    Grant CEP: GA ČR(CZ) GA22-00236S; GA MŠMT(CZ) 9F23002; GA MŠMT CZ.02.01.01/00/23_020/0008535
    Institucionální podpora: RVO:68081715
  7. 7.
    0605406 - ÚVGZ DATA Vědecká data      2025
    Trnka, Miroslav - Meitner, Jan - Balek, Jan - Feng, S. - Arbelaez Gaviria, Juliana - Fischer, Milan - Boere, E. - Havlík, P. - Kersebaum, Kurt Christian - Nendel, Claas - Ruiz-Ramos, M. - Semerádová, Daniela - Semenov, M. A. - Poděbradská, Markéta - Esper, Jan - Büntgen, Ulf - Torbenson, Max Carl Arne - Brzezina, J. - Žalud, Zdeněk - Katul, G. - Olesen, Jorgen Eivind

    Data k článku: Climate-induced Severe Water Scarcity Events as Harbingers of Global Grain Price.
    [Data for the article: Climate-induced severe water shortages as a harbinger of global grain price increases.]

    Popis: Fig. S1. Weights of the grids used in this study. a-c) Wheat, maize and rice grids: Grids where the given crop is grown, based on Ramankutty et al. (55), with the weights based on the overall proportion of arable land; d-f) the weights were assigned based on the share of the wheat-, maize- and rice-growing area in the grid in relation to the crop-growing area of the top ten exporters; g-i) indication of the main producing areas and potentially irrigated area of the given crop. Fig. S2. Time series of severe water scarcity (SWS) for the entire wheat-growing area (a, c) and area of wheat cultivation of the top 10 wheat exporters (b-d) for the baseline climate and projections based on the CMIP5 (a, b) and CMIP6 (c, d) GCM models. Fig. S3. Matrixes of all tested models SWS over arable land (a) and SWS over wheat producing area of 10 largest wheat exporters (b) vs. wheat price index (WPI). The yellow marked combinations were used for the final model (the ensemble of 5 best performing models called Final model). At (c) the performance of other tested approaches (ARIMA and SPEI based models) with the Final model is shown The annually resolved reported wheat prices and their estimates by 5 different approaches for (2000-2021) and the model projections till 2100 are shown for comparison at Fig (d).
    Klíčová slova: severe water scarcity * global grain prices * wheat * SWS * drought * climatic data * climate change * greenhouse gas emissions
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
    Obor OECD: Agronomy, plant breeding and plant protection
    DOI: https://doi.org/10.57680/asep.0605406
    Handle: https://hdl.handle.net/11104/0363126
    Vkladatel: 2
    Datum publikování: 3.2.2025

     
         Licence: CC BY 4.0 - Uveďte původ Mezinárodní licence
     
    Název souboru StaženoVelikostKomentářPřístup
    Popis_dat.txt194.1 KBpovolen
    EarthFuture_Wheat_DATA.zip Přehled souborů296.6 MBpovolen
    Grant CEP: GA MŠMT(CZ) EH22_008/0004635
    Institucionální podpora: RVO:86652079
    DatumPolePřed změnouPo změně
    7.2.2025Popis datasetuFig. S1. Weights of the grids used in this study. a-c) Wheat, maize and rice grids: Grids where the given crop is grown, based on Ramankutty et al. (55), with the weights based on the overall proportion of arable land; d-f) the weights were assigned based on the share of the wheat-, maize- and rice-growing area in the grid in relation to the crop-growing area of the top ten exporters; g-i) indication of the main producing areas and potentially irrigated area of the given crop. Fig. S2. Time series of severe water scarcity (SWS) for the entire wheat-growing area (a, c) and area of wheat cultivation of the top 10 wheat exporters (b-d) for the baseline climate and projections based on the CMIP5 (a, b) and CMIP6 (c, d) GCM models. Fig. S3. Matrixes of all tested models SWS over arable land (a) and SWS over wheat producing area of 10 largest wheat exporters (b) vs. wheat price index (WPI). The yellow marked combinations were used for the final model (the ensemble of 5 best performing models called Final model). At (c) the performance of other tested approaches (ARIMA and SPEI based models) with the Final model is shown The annually resolved reported wheat prices and their estimates by 5 different approaches for (2000-2021) and the model projections till 2100 are shown for comparison at Fig (d). Fig. S4. a) Reported farm price index (FPI) and estimated wheat price index (WPI), which was modeled based on the final model ensemble for the 1951-2023 period with the RMSE of the model estimates provided for 3 periods and the entire 73 years. B) The same figure but with the colors marking the total arable land area affected by SWS during the three-year window. Note: years 2022 and 2023 were not used in development of the wheat price index estimate model. Fig. S5. Same as Fig. 3 but based on the CMIP5 ensemble of GCM models. Fig. S6. Comparison of the wheat price index estimates based on the CMIP5 and CMIP6 GCM model ensembles. a) Difference between the wheat price index (WPI) values estimated by CMIP6 and CMIP5; b-c) relationship between the global mean temperature change and WPI. Fig. S7. Comparison of the literature on the wheat price index. a) WPI values estimated by climate change scenarios for CMIP5 and CMIP6 in this paper, Global Biosphere Management Model (GLOBIOM) data vs. the literature between 2000 and 2050. b) Percentage of change in the WPI related to the baseline of this study and the literature for the different levels of global warming (change of global temperature related to mean 1951 - 1980). Fig. S8. Top 10 key player countries in the wheat, maize and rice market between 2000 and 2019 from FAOSTAT. a) Top 10 cumulative exporter countries: sum of total export quantities between 2000 and 2019. b) Top 10 exporter countries: mean of the total export quantities between 2000 and 2019. c) Top 10 net exporter countries: mean of the total export minus total import quantities between 2000 and 2019. Table S1. Definitions of severe water scarcity (SWS) used. All conditions must be fulfilled for the evaluated climate grid cell to be categorized as experiencing severe or extreme water scarcity during a given year. The sensitive period (SP) was defined as the four months prior to the harvest of a particular crop. The standardized precipitation evapotranspiration index (SPEI) is employed as it encodes the imbalance between precipitation and potential evapotranspiration. This imbalance captures the duration and severity of a drought event from hydroclimatic variables at large (i.e. climate grid) scales. Table S2. Overview of the best performing linear models for estimating the wheat price index (WPI) based on the area affected by severe water scarcity. The aggregated values indicate the combined performance of the models as the ensemble is expanded by adding additional models to Model_1. The bootstrapping results are part of Fig. 2b. Table S3. List of the CMIP5 global circulation models (GCMs) used in this study with brief descriptions. The historical run (i.e., 1850‒2005) and the runs of three future emissions scenarios (i.e., RCP2.6, RCP4.5 and RCP8.5; 2006‒2100) are used from each model. “*” indicates that the simulations under all three future RCPs are available. Otherwise, only RCP4.5 and RCP8.5 are available. The first ensemble run is used if a model is associated with multiple ensemble runs. Table S4. Overview of the CMIP6 global circulation models (GCMs) used in this study (with brief descriptions). The historical run (i.e., 1850‒2014) and the runs of three future emissions scenarios (i.e., SSP1-2.6, SSP2-4.5 and SSP5-8.5; 2015‒2100) are used from each model. “*” indicates that the simulations under all three future SSPs are available. Otherwise, only SSP2-4.5 and SSP5-8.5 are available. The first ensemble run is used if a model is associated with multiple ensemble runs. Table S5. The sources of export prices used for calculation of crops specific price indices (WPI, MZI and RPI) by the International Grain Council. The export prices are provided for the nearest available shipment and are based on both official and trade source. The FOB (Free On Board) price is the price of goods at the frontier of the exporting country or price of a service provided to a non-resident. It includes the values of the goods or services at the basic price, the transport and distribution services up to the frontier, the taxes minus the subsidies.Fig. S1. Weights of the grids used in this study. a-c) Wheat, maize and rice grids: Grids where the given crop is grown, based on Ramankutty et al. (55), with the weights based on the overall proportion of arable land; d-f) the weights were assigned based on the share of the wheat-, maize- and rice-growing area in the grid in relation to the crop-growing area of the top ten exporters; g-i) indication of the main producing areas and potentially irrigated area of the given crop. Fig. S2. Time series of severe water scarcity (SWS) for the entire wheat-growing area (a, c) and area of wheat cultivation of the top 10 wheat exporters (b-d) for the baseline climate and projections based on the CMIP5 (a, b) and CMIP6 (c, d) GCM models. Fig. S3. Matrixes of all tested models SWS over arable land (a) and SWS over wheat producing area of 10 largest wheat exporters (b) vs. wheat price index (WPI). The yellow marked combinations were used for the final model (the ensemble of 5 best performing models called Final model). At (c) the performance of other tested approaches (ARIMA and SPEI based models) with the Final model is shown The annually resolved reported wheat prices and their estimates by 5 different approaches for (2000-2021) and the model projections till 2100 are shown for comparison at Fig (d).
  8. 8.
    0605079 - FZÚ DATA Vědecká data      2025
    Rohlíček, Jan - Eigner, V. - Czernek, Jiří - Brus, Jiří

    Crystallographic data of studied compounds.

    Popis: Crystallographic data of isothiuronium salts: 2-(benzylthio)-4,5-dihydro-1H-imidazol-3-ium bromide (1·Br), 2-(benzylthio)-4,5 dihydro-1H-imidazol-3-ium tetrafluoroborate (1·BF4), 2-(4-methylbenzyl)isothiouronium bromide (2·Br), 2-(4-methylbenzyl)isothiouronium tetrafluoroborate (2·BF4), 2-(naphthalen-2 ylmethyl)isothiouronium bromide (3·Br), and 2-(naphthalen-2-ylmethyl)isothiouronium bromide (3·BF4)
    Klíčová slova: NMRcrystallograpy * powder diffraction * structuredetermination * isothiouroniumsalt
    Grant CEP: GA ČR(CZ) GA23-05293S; GA MŠMT(CZ) EH22_008/0004594
    Institucionální podpora: RVO:68378271Institucionální podpora: RVO:61389013
    Obor OECD: Condensed matter physics (including formerly solid state physics, supercond.); Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect) (UMCH-V)
    DOI: https://doi.org/10.57680/asep.0605079
    Handle: https://hdl.handle.net/11104/0362630
    Vkladatel: admin
    Datum publikování: 28.1.2025

     
         Licence: CC BY 4.0 - Uveďte původ Mezinárodní licence
     
    Název souboru StaženoVelikostKomentářPřístup
    Crystallographic data of studied compounds.zip Přehled souborů20575.5 KBpovolen
    Grant CEP: GA ČR(CZ) GA23-05293S; GA MŠMT(CZ) EH22_008/0004594
    Institucionální podpora: RVO:68378271Institucionální podpora: RVO:61389013
  9. 9.
    0605036 - ÚMCH DATA Vědecká data      2025
    Pathak, Mayank - Mahun, Andrii - Černoch, Peter - Morávková, Zuzana

    Data underlying the publication: Swelling mechanism of polyoxazoline-based gel polymer electrolytes for Lithium-ion batteries.

    Popis: Raman and NMR data on polyoxazoline-based gel polymer electrolytes with propylene carbonate and diglyme as solvents and LiTFSI and LiBOB as Lithium salts. Detailed description of the data can be found in the readme.txt file.
    Technické informace: The deconvolution curves are saved as spectral groups and can be opened in Omnic software. NMR diffusion data can be opened in TopSpin. Other data is saved in common formats.

    Klíčová slova: polymer gel electrolytes (GPEs) * polyoxazoline (POx) * Raman spectroscopy * swelling * NMR * ion mobility
    Institucionální podpora: RVO:61389013
    Obor OECD: Polymer science
    DOI: https://doi.org/10.57680/asep.0605036
    Handle: https://hdl.handle.net/11104/0362661
    Vkladatel: admin
    Datum publikování: 28.1.2025

     
         Licence: CC BY 4.0 - Uveďte původ Mezinárodní licence
     
    Název souboru StaženoVelikostKomentářPřístup
    Data.zip Přehled souborů29217.6 MBpovolen
    Institucionální podpora: RVO:61389013
  10. 10.
    0604558 - FZÚ DATA Vědecká data      2025
    Ryabchikov, Yury V. - Kaňa, A. - Mirza, M. Inam

    Data for arxiv Crystals 2024 Ryabchikov.

    Popis: The dataset contains the original data of experimental measurements for the manuscript submitted to the Crystals journal:
    Authors: Yury V. Ryabchikov; Antonin Kana; Inam Mirza
    Title: Performance of ps Laser-Designed Silicon/Gold Composite Nanoparticles Affected by the Precision of the Focal Position
    Submission date: November 27, 2024
    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 * silicon/gold nanoparticles * composite nanoparticles * la-ser-induced heating * focus precision
    Grant CEP: GA MŠMT(CZ) EH22_008/0004596
    Institucionální podpora: RVO:68378271
    Obor OECD: Nano-materials (production and properties)
    DOI: https://doi.org/10.57680/asep.0604558
    Handle: https://hdl.handle.net/11104/0361996
    Vkladatel: admin
    Datum publikování: 21.1.2025

     
         Licence: CC BY 4.0 - Uveďte původ Mezinárodní licence
     
    Název souboru StaženoVelikostKomentářPřístup
    Crystals_2024.zip Přehled souborů331.1 MBpovolen
    Grant CEP: GA MŠMT(CZ) EH22_008/0004596
    Institucionální podpora: RVO:68378271

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