Metrics
362,314 Downloads
Contact Share

DATADOI on multidistsiplinaarne Tartu Ülikoolile kuuluv avatud repositoorium teadusandmete jagamiseks ja avaldamiseks, mis põhineb avatud lähtekoodiga Dataverse tarkvaral ja mida haldab Tartu Ülikooli raamatukogu.

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 owned by the University of Tartu for sharing and publishing research data, based on the open-source Dataverse software and managed by the University of Tartu Library.

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

301 to 310 of 3,743 Results
Data: Wolf–dog Introgression in a High-Harvest Landscape
Apr 27, 2026 - Ökoloogia ja maateaduse andmed
Raidmets, Kirke; Hindrikson, Maris; Tammeleht, Egle; Prants, Kristiina; Jõgisalu, Inga; Harmoinen, Jenni; Valtonen, Mia, 2026, "Data: Wolf–dog Introgression in a High-Harvest Landscape", https://doi.org/10.23673/RE-574, DATADOI, V1
Andmekogu sisaldab 93 SNP markeri genotüübiandmeid 458 Eesti hundi (Canis lupus) isendi kohta, kes on kütitud aastatel 2014–2022. Andmed on kogutud koostöös Keskkonnaagentuuri ja jahimeestega. Lisaks sisaldab andmekogu referentsandmeid, mis pärinevad varasemast uuringust (Harmoinen, 2021).
Estonia_plus_referencedata_map.txt
Apr 27, 2026 - Data: Wolf–dog Introgression in a High-Harvest Landscape
Plain Text - 2.9 KB - MD5: 6c4f58e7899b5998e814bbb12969d0ed
Estonia_plus_referencedata_ped.txt
Apr 27, 2026 - Data: Wolf–dog Introgression in a High-Harvest Landscape
Plain Text - 455.0 KB - MD5: 61cada1c94cb31ca833d094e55fdb7a7
migratsioonieelne_statistika.html
Apr 27, 2026 - Data: Wolf–dog Introgression in a High-Harvest Landscape
HTML - 1.7 KB - MD5: 07ba245d6a6d6b5ba42abf39d9532802
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
Apr 27, 2026 - Data: Wolf–dog Introgression in a High-Harvest Landscape
Plain Text - 4.6 KB - MD5: b73fc4b7aab1d70a0fb0074a13b074bc
fidadd_modified.txt
Apr 6, 2026 - Optimization of signal enhancement by photo-CIDNP hyperpolarization with an autosampler-compatible NMR probehead
Plain Text - 3.0 KB - MD5: 8aeb80d6429ee1444c165739ea5773cb
migratsioonieelne_statistika.html
Apr 6, 2026 - Optimization of signal enhancement by photo-CIDNP hyperpolarization with an autosampler-compatible NMR probehead
HTML - 10.1 KB - MD5: 7401e1bfbe667b1e091e5c8798cf9cfc
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...
UT-GPCR005 Fluorescence anisotropy time-series of competition binding between unlabeled ligands of M1 muscarinic acetylcholine receptor and TAMRA labeled UR-MK342
Apr 2, 2026 - Keemia instituudi andmed
Laasfeld, Tõnis; Bláhovcová, Hana; Hollo, Kaspar; Rinken, Ago; Veiksina, Santa; Anni Allikalt, 2026, "UT-GPCR005 Fluorescence anisotropy time-series of competition binding between unlabeled ligands of M1 muscarinic acetylcholine receptor and TAMRA labeled UR-MK342", https://doi.org/10.23673/RE-572, DATADOI, V1
Fluorescence anisotropy time-series of competition ligand binding between unlabeled competitors of M1 muscarinic acetylcholine receptor and TAMRA labeled UR-MK342. The dataset contains kinetic traces of UR-MK259, UR-SK-75, McN-A-343, UR-SK-59, Scopolamine, Telenzepine, 4-DAMP, Carbachol, Pilocarpine, Clozapine, Pirenzepine, Atropine, Acetylcholine,...
migratsioonieelne_statistika.html
Apr 2, 2026 - UT-GPCR005 Fluorescence anisotropy time-series of competition binding between unlabeled ligands of M1 muscarinic acetylcholine receptor and TAMRA labeled UR-MK342
HTML - 1.7 KB - MD5: 07ba245d6a6d6b5ba42abf39d9532802
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
Apr 2, 2026 - UT-GPCR005 Fluorescence anisotropy time-series of competition binding between unlabeled ligands of M1 muscarinic acetylcholine receptor and TAMRA labeled UR-MK342
Plain Text - 2.7 KB - MD5: d8b10bed55755882d532e4b700356dbb
README
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.