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DATADOI on multidistsiplinaarne avatud repositoorium teadusandmete jagamiseks ja avaldamiseks, mis põhineb avatud lähtekoodiga Dataverse tarkvaral.

Andmed tuleks talletada selle asutuse kollektsiooni, millega vähemalt üks kaasautoritest on seotud. DATADOI sisaldab praegu institutsionaalseid kollektsioone Tartu Ülikoolile, Tallinna Ülikoolile, Estonian Business Schoolile ja Eesti Teadusagentuurile.

Kui sobivat kollektsiooni veel ei ole, võtke ühendust DATADOI meeskonnaga aadressil datadoi@datadoi.ee.

DATADOI is a multidisciplinary open repository for sharing and publishing research data, based on the open-source Dataverse software.

Data should be deposited in the institutional collection assigned to the institution with which at least one of the contributors is affiliated. DATADOI currently includes institutional collections for the University of Tartu, Tallinn University, Estonian Business School, and the Estonian Research Council.

If a suitable collection does not yet exist, please contact the DATADOI team at datadoi@datadoi.ee.

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271 to 280 of 3,487 Results
Fig3c.csv
Aug 5, 2025 - Data of Bifunctional multi-metallic nitrogen-doped nanocarbon catalysts derived from 5-methylresorcinol
Comma Separated Values - 30.9 KB - MD5: 50741c08e8c9c2861490bcc5cc46bb57
Fig3d.csv
Aug 5, 2025 - Data of Bifunctional multi-metallic nitrogen-doped nanocarbon catalysts derived from 5-methylresorcinol
Comma Separated Values - 27.7 KB - MD5: aa79818409c5d83adcf539111ab4cf4f
Fig3e.csv
Aug 5, 2025 - Data of Bifunctional multi-metallic nitrogen-doped nanocarbon catalysts derived from 5-methylresorcinol
Comma Separated Values - 30.8 KB - MD5: fec79d457004cfa6b5bd75d5fc227359
migratsioonieelne_statistika.html
Aug 5, 2025 - Data of Bifunctional multi-metallic nitrogen-doped nanocarbon catalysts derived from 5-methylresorcinol
HTML - 1.0 KB - MD5: 32b0ef966648f98b0513eb33c345c44b
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
README.txt
Aug 5, 2025 - Data of Bifunctional multi-metallic nitrogen-doped nanocarbon catalysts derived from 5-methylresorcinol
Plain Text - 1.8 KB - MD5: 566f667b63f640fe27e888a01a25eac7
Data of Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction
Aug 5, 2025 - Keemia instituudi andmed
Kisand, Kaarel; Sarapuu, Ave; Tammeveski, Kaido, 2025, "Data of Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction", https://doi.org/10.23673/RE-534, DATADOI, V1
This dataset contains the data presented in the figures of published paper “Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction” published in ChemSusChem (2024) 18, e202401332 (https://doi.org/10.1002/cssc.202401332) This dataset contains data for Figures 5 and 6a.
Fig5a.csv
Aug 5, 2025 - Data of Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction
Comma Separated Values - 65.4 KB - MD5: 4d3c23b2c658f100797e3dd8c6f4f73a
Fig5b.csv
Aug 5, 2025 - Data of Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction
Comma Separated Values - 38.0 KB - MD5: 42574886864deddfe3ee6d1b5a28136f
Fig6a.csv
Aug 5, 2025 - Data of Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction
Comma Separated Values - 49.1 KB - MD5: 486c32ad4d19ba29023bc662403339e9
migratsioonieelne_statistika.html
Aug 5, 2025 - Data of Hierarchically Porous Fe−N−C Single-Atom Catalysts via Ionothermal Synthesis for Oxygen Reduction Reaction
HTML - 1.0 KB - MD5: 32b0ef966648f98b0513eb33c345c44b
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
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