Metrics
896 Downloads
Contact Share

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.

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

511 to 520 of 3,611 Results
LICENSE
May 21, 2025 - Short-range order structures of Ni-based FCC ternary and quaternary alloys
Plain Text - 18.2 KB - MD5: 9a788123ae6c2a2d9b2b4cf673e950e7
License of the dataset
migratsioonieelne_statistika.html
May 21, 2025 - Short-range order structures of Ni-based FCC ternary and quaternary alloys
HTML - 10.3 KB - MD5: f17daa89611aaa7b2ce905b88dcdad9c
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
May 21, 2025 - Short-range order structures of Ni-based FCC ternary and quaternary alloys
Plain Text - 2.3 KB - MD5: 78b952fb90c1ffaf42d16cbb3d28b0c1
README-file
Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells
May 20, 2025 - Keemia instituudi andmed
Ahmed, Zubair; Akula, Srinu; Kozlova, Jekaterina; Piirsoo, Helle-Mai; Kukli, Kaupo; Kikas, Arvo; Kisand, Vambola; Käärik, Maike; Leis, Jaan; Treshchalov, Alexey; Aruväli, Jaan; Tammeveski, Kaido, 2025, "Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells", https://doi.org/10.23673/RE-517, DATADOI, V1
Atomically dispersed active sites and hierarchical porosity in Fe–N–C catalyst materials are essential for efficient oxygen reduction reaction (ORR) electrocatalysis and effective mass transport, respectively. However, the majority of these catalysts fail to deliver outstanding electrocatalytic activity and stumble when used as cathode materials in...
Fig_4a.csv
May 20, 2025 - Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells
Comma Separated Values - 79.8 KB - MD5: 19d7449c8d118ab4b98f24cb36b0da27
fig_4c.csv
May 20, 2025 - Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells
Comma Separated Values - 85.7 KB - MD5: 6bad66cc1f9f0070d9c311ac19d316cf
Fig_4e.csv
May 20, 2025 - Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells
Comma Separated Values - 49.9 KB - MD5: 3c1b7cd2c06b9a34da6783945a3931e4
Fig_5a.csv
May 20, 2025 - Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells
Comma Separated Values - 41.4 KB - MD5: dd53b4f2e025be537b6b745661941d7b
Fig_5b.csv
May 20, 2025 - Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells
Comma Separated Values - 193.8 KB - MD5: 29c0e5acf32c29fcbe88447776f41237
Fig_6.csv
May 20, 2025 - Hybrid high-performance oxygen reduction reaction Fe–N–C electrocatalyst for anion exchange membrane fuel cells
Comma Separated Values - 4.5 KB - MD5: 8de3e5a5572062b0aa801ebeadf4a910
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.