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

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

0637210 - ÚOCHB DATA Vědecká data      2025
Brynda, Jiří - Pospíšilová, Klára - Řezáčová, Pavlína - Kudová, Eva (Výzkumník)

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

Popis: 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.]
Technické informace: Soubory formátu xls a ReadMe file v docx a pdf formátu
Klíčová slova: carbonic anhydrase inhibition * steroids * O-sulfamates
Grant CEP: GA MŠMT LX22NPO5102; GA MŠMT(CZ) LX22NPO5104
Institucionální podpora: RVO:61388963
Obor OECD: Biochemistry and molecular biology
DOI: https://doi.org/10.57680/asep.0637210
Handle: https://hdl.handle.net/11104/0368275
Vkladatel: Brynda, Jiří
Datum publikování: 18.7.2025

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

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