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Repozytorium Danych Badawczych Uniwersytetu Mikołaja Kopernika służy do gromadzenia, przechowywania i publicznego udostępniania danych badawczych powstałych w trakcie prac naukowych i projektów badawczych realizowanych przez pracowników naukowych UMK. Repozytorium przyjmuje zbiory danych, które zostały wytworzone, zebrane lub opisane na potrzeby realizowanego projektu czy prowadzonej działalności badawczej. Założeniem repozytorium jest upowszechniać dane z zakończonych, zrealizowanych badań. Repozytorium jest otwarte, dostępne bezpłatnie dla wszystkich zainteresowanych.

The Research Data Repository of the Nicolaus Copernicus University is used to collect, store and publicly share research data created during scientific works and research projects carried out by the NCU scientific staff. The repository accepts data sets that have been generated, collected or described for the purposes of the implemented project or research activity. The assumption of the repository is to disseminate data from completed research. The repository is open, available for free to anyone interested.

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DatasetPolycentric Urban Regions - Naming and Regional Indicators Dataset
Mar 5, 2026 - DataverseSocial and economic geography and spatial management

Wysocka-Niemiec, Donata; Derudder, Ben; Biegańska, Jadwiga, 2026, "Polycentric Urban Regions - Naming and Regional Indicators Dataset", https://doi.org/10.18150/FKY0ZH, RepOD, V1

DatasetMultifunctional laminarin-chitosan composites loaded with bromelain nanoflowers: a biohybrid design approach
Mar 4, 2026 - DataverseChemical sciences

Chełminiak-Dudkiewicz, Dorota; Miloslav Machacek; Konecna Klara; Wujec Monika, 2026, "Multifunctional laminarin-chitosan composites loaded with bromelain nanoflowers: a biohybrid design approach", https://doi.org/10.18150/L0VI2O, RepOD, V1

DatasetChitosan-and levan-based wound dressings crosslinked with dialdehyde levan: Structural and biological stability under climatic aging
Mar 3, 2026 - DataverseChemical sciences

Chełminiak-Dudkiewicz Dorota; Machacek Miloslav; Długaszewska Jolanta; Wujak Magdalena; Smolarkiewicz-Wyczachowski Aleksander, 2026, "Chitosan-and levan-based wound dressings crosslinked with dialdehyde levan: Structural and biological stability under climatic aging", https://doi.org/10.18150/PDXLI7, RepOD, V1

DatasetMicrobial Contamination in Butter Production
Mar 3, 2026 - DataverseBiological sciences

Sibińska, Ewelina, 2025, "Microbial Contamination in Butter Production", https://doi.org/10.18150/OOZDTJ, RepOD, V2

DatasetResidents of Polish inner periphieries and the development challenges post SARS-CoV-2
Mar 3, 2026 - DataverseSocial and economic geography and spatial management

Adamiak, Czesław, 2026, "Residents of Polish inner periphieries and the development challenges post SARS-CoV-2", https://doi.org/10.18150/RRE0ED, RepOD, V1

DatasetFunctional Urban Areas in Poland in the context of the challenges of inner periphieries post SARS-CoV-2
Mar 3, 2026 - DataverseSocial and economic geography and spatial management

Adamiak, Czesław, 2026, "Functional Urban Areas in Poland in the context of the challenges of inner periphieries post SARS-CoV-2", https://doi.org/10.18150/UF8JBV, RepOD, V1

DatasetSupplementary Material for the manuscript entitled "Quantum calculation of the collision-induced line-shape effects in antiprotonic helium and the new accurate ab initio p̄He+-He potential energy surface"
Mar 2, 2026 - DataversePhysical sciences

Jóźwiak, Hubert; Bakalov, Dimitar; Przybytek, Michał; Stoilov, Michail; Wcisło, Piotr, 2025, "Supplementary Material for the manuscript entitled "Quantum calculation of the collision-induced line-shape effects in antiprotonic helium and the new accurate ab initio p̄He+-He potential energy surface"", https://doi.org/10.18150/3NFVU2, RepOD, V3

DatasetReview about Unlocking natural cross-link agents for biopolymer wound dressings
Mar 2, 2026 - DataverseChemical sciences

Chełminiak-Dudkiewicz, Dorota; Suhartoyo Aji, 2026, "Review about Unlocking natural cross-link agents for biopolymer wound dressings", https://doi.org/10.18150/ZFVH1B, RepOD, V1

DatasetIdentification of Bitcoin Volatility Drivers Using Statistical and Machine Learning Methods
Mar 2, 2026 - DataverseEconomics and finance

Fiszeder, Piotr; Pietrzyk, Radosław, 2024, "Identification of Bitcoin Volatility Drivers Using Statistical and Machine Learning Methods", https://doi.org/10.18150/SJHAHR, RepOD, V2

DatasetSilica-based sorbents for the mixed-mode extraction of risdiplam and its metabolite from serum samples
Mar 2, 2026 - DataverseChemical sciences

Studzińska, Sylwia; Anna Lemska; Maria Mazurkiewicz-Bełdzińska; Natalia Balińska, 2026, "Silica-based sorbents for the mixed-mode extraction of risdiplam and its metabolite from serum samples", https://doi.org/10.18150/BXR5QA, RepOD, V1

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