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

1,881 to 1,890 of 3,154 Results
Table_S5_Statistical_values_of_bonferroni's_multiple_comparisons_test_of_the_r_protein_quantity_(HM_ratio)_in_the_total_proteome_(Figure_5B)_dataset.pdf
Feb 1, 2022 - A conundrum of r-protein stability: unbalanced stoichiometry of r-proteins during stationary phase in Escherichia coli - Supplementary materials
Adobe PDF - 597.2 KB - MD5: 84b54ab818c40765c3e3f6c3ae485b58
Table S5 – Statistical values of bonferroni's multiple comparisons test of the r-protein quantity (HM ratio) in the total proteome (Figure 5B) dataset
Table_S6_Statistical_values_of_non_linear_reggression_modelling_of_the_r_protein_quantity_(HM_ratio)_in_stationary_phase_proteome_dataset.pdf
Feb 1, 2022 - A conundrum of r-protein stability: unbalanced stoichiometry of r-proteins during stationary phase in Escherichia coli - Supplementary materials
Adobe PDF - 529.5 KB - MD5: 81107a24343a6ce2362dbacffa1db7ce
Table S6 – Statistical values of non linear regression modelling of the r-protein quantity (HM ratio) in stationary phase proteome dataset
Table_S7_R_proteins_free_pool_size_comparison_in_stationary_phase_(day_8)_and_exponential_growth_(Chen_et_al_2012).pdf
Feb 1, 2022 - A conundrum of r-protein stability: unbalanced stoichiometry of r-proteins during stationary phase in Escherichia coli - Supplementary materials
Adobe PDF - 692.9 KB - MD5: 042042a1e026f1f145c6f5637fc18e19
Table S7 – R-proteins free pool size comparison in stationary phase (day 8) and exponential growth (Chen et al 2012)
Table_S8_Amount_of_lysate_in_A260_units_applied_to_sucrose_gradients.pdf
Feb 1, 2022 - A conundrum of r-protein stability: unbalanced stoichiometry of r-proteins during stationary phase in Escherichia coli - Supplementary materials
Adobe PDF - 398.4 KB - MD5: 8020e643db11ffbdadf9dc5031895ce4
Table S8 – Amount of lysate in A260 units applied to sucrose gradients
Table_S9_R_protein_unique_peptide_count_in_r_protein_quantity_in_the_70S_ribosomes_from_stationary_phase_(Figure_S4)_dataset.pdf
Feb 1, 2022 - A conundrum of r-protein stability: unbalanced stoichiometry of r-proteins during stationary phase in Escherichia coli - Supplementary materials
Adobe PDF - 428.3 KB - MD5: 46a30c29b80d275bfe2331aa22511021
Table S9 – R-protein unique peptide count in r-protein quantity in the 70S ribosomes from stationary phase (Figure S4) dataset
EEG_data_emotional faces_eyebrow angles_gaze directions_vMMN.xlsx
Jan 28, 2022 - Eyebrow angle and gaze direction as modulators of the emotional value of schematic faces: a visual mismatch response (vMMR) study (data)
MS Excel Spreadsheet - 322.9 KB - MD5: 1828b61f95849ba7487419a50b6447f3
The average amplitudes of the vMMN difference wave in ten ~20ms intervals for 6 posterior-occipital electrodes in response to angry and neutral schematic faces with eyebrow angle and gaze direction modifications. Fail on embargo all kuni 2022-06-01. File is under embargo until 2022-06-01.
subjective evaluations to schematic faces.xlsx
Jan 28, 2022 - Eyebrow angle and gaze direction as modulators of the emotional value of schematic faces: a visual mismatch response (vMMR) study (data)
MS Excel Spreadsheet - 23.9 KB - MD5: a403d8980be13125d58799af0f4a7aa4
Subjective evaluations to angry and neutral deviant with eyebrow angle and gaze direction modifications, also two standard stimuli. Fail on embargo all kuni 2022-06-01. File is under embargo until 2022-06-01.
ArtSeg-CHO-M4R_test.zip
Jan 24, 2022 - ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
ZIP Archive - 353.6 MB - MD5: 2bfba2ed31260663f37d738a2c433683
Test split of the ArtSeg-CHO-M4R dataset
ArtSeg-CHO-M4R_train.zip
Jan 24, 2022 - ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
ZIP Archive - 868.6 MB - MD5: 5dc5f1720ff4b3c12754aaf4946e2cf7
Training split of the ArtSeg-CHO-M4R dataset
ArtSeg-CHO-M4R_validation.zip
Jan 24, 2022 - ArtSeg-CHO-M4R: artifact segmentation in microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells.
ZIP Archive - 246.4 MB - MD5: f6101014b4754a6bfa8fa68cca21726d
Validation split of the ArtSeg-CHO-M4R dataset
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.