Digital Commons Data - Babes-Bolyai University
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Astra membership 1867-1868
No full textThis dataset contains a list of Astra members who were registered in "Transilvania", the association's magazine, as having paid their membership fees in 1868. The current version also includes membership fees paid for previous years, but only those registered in "Transilvania", so it should be regarded as a near complete dataset only for the year 1867/1868. This dataset has been compiled in 2014 and recompiled according to FAIR principles in 2025.
Source: Transilvania, I (1868), nr. 1-25, https://dspace.bcucluj.ro/handle/123456789/7435
Supported publications:
Vlad Popovici, Prosopografia membrilor Astrei – o necesitate istorică și un atelier de cercetare [The prosopography of Astra membership – a historical necessity and a research workshop], in vol. Mircea-Cristian Ghenghea, Iulian Pruteanu-Isăcescu (coord.), Astra și românii. Memorie istorică și realități contemporane, Iași, Editura Universității ”Alexandru Ioan Cuza”, 2015, p. 51-64. ISBN 978-606-714-117-
Interacting partners of GFP-Tagged Gorab from Drosophila embryos, testes and accesory glands
No full textSyncytial embryos, testes and accessory glands were collected from flies ubiquitously expressing Gorab-GFP. Lysates were subjected to GFP-trap purification and interacting proteins were identified by mass-spectrometr
Mapping Intertextuality in the Hungarian Translations of Joyce’s Ulysses: A Digital Database of Shakespearean References and Translational Creativity
No full textThe project focused on creating a structured, research-ready digital database that systematically documents all Shakespearean intertextual references found in James Joyce’s Ulysses and their renderings in the three existing Hungarian translations of the novel. The database was built through several coordinated stages. First, all Shakespeare-related references were identified, extracted, and compiled into a unified corpus based on a full manual reading of the novel. Each reference was then verified, contextualised, and assigned a precise location in both the source text and each Hungarian target text, allowing direct comparison across translations.
Following data extraction, all entries were annotated according to a set of methodological criteria developed during the project. These include the type of intertextual reference (explicit quotation, allusion, paraphrase), the translation strategy employed, the degree of creative adaptation, and whether the translator relied on pre-existing Hungarian Shakespeare translations. The data were then organised into a structured digital format to ensure consistency, transparency, and reusability for future research.
The resulting database represents the first systematic, comparative resource dedicated to Shakespearean intertextuality in the Hungarian reception of Ulysses. It provides a searchable, academically citable dataset that supports translation studies, intertextuality research, digital humanities approaches, and comparative literary analysis
Romanian voters and options at polls in the constituency of Ighiu / Magyarigen (1905 & 1910)
No full textThe datasets registers the Romanian voters and their options at polls in the constituency of Ighiu / Magyarigen at the parliamentary elections in 1905 and 1910
Data for: Truncated phytoglobin displays a catalase-like activity towards cyanamide
No full textEditable data for the following manuscript
Title: ”Truncated phytoglobin displays a catalase-like activity towards cyanamide”
Authors: Cezara Zagrean-Tuza ([email protected]), Augustin C. Mot ([email protected]), Grigore Damian, Radu Silaghi-Dumitrescu ([email protected]);
Affiliations: Department of Chemistry and Department of Physics, Babes-Bolyai University, Cluj-Napoca, Cluj, Romania.
1. Excel documents
1a. ABTS_pseudoperoxidase: data for Figure 4 and Figures S4 and S5 from the Supplementary material;
1b. EPR_data: resources of editable EPR spectra for Figure 3 and Figures S1, S8 and S9;
1c. Figure5_all_spectra: editable control UV-vis spectra;
1d: metAt3_CA_px_Figure2: editable UV-vis spectra;
1e: metAt3_CN+px2_FigureS7: editable UV-vis spectra;
1f: metAt3_px_CA_FigureS3: editable UV-vis spectra;
2. Docking files
The docking calculations were performed in Autodock. To visualize the results of the docking calculations, the .dlg file is opened in AutodockTools software. Subsequently, the .pdbqt file of the protein is loaded onto the same software and the determined binding sites, affinities and scoring can be explored.
Alternatively, the At3_NH2CN.pdbqt and Hb_NH2CN.pdbqt files can be loaded onto ChimeraX. Only the binding site described in the manuscript for each protein is available in this format.
3. DFT results
Two types of files are available in the DFT_calculations folder.
Spartan files (.spartan) for each cyanamide linkage isomer and spin state are available and can be loaded only onto the Spartan software (on virtually any version).
Gaussian files (.log, they appear as ”Text Document”) showing calculations that evaluate the hydrogen bonding of cyanamide (low spin adduct) with the aminoacids in the binding site are available. These can be opened in GaussView to examine the structure itself or directly in any .txt reader
Codebooks for the Historical Population Database of Transylvania
No full textThe codes apply to the information in the Historical Population Database of Transylvania (https://hpdt.ro) and to the HPDT datasets ingested into Digital Commons Data - UB
The Impact of Response Expectancy on the Efficacy of the Counting Blessings Intervention: Examining the Moderating Role of Optimism
No full textAbstract
Introduction: This study addresses a knowledge gap concerning the underlying mechanisms responsible for the efficacy of gratitude interventions. Specifically, we investigated how various response expectancies (positive, negative, and no manipulated expectancies) impact the effectiveness of the "counting blessings" intervention in influencing positive and negative emotions. Additionally, we explored the interaction between optimism levels (high, medium, and low) and these expectancies in the efficacy of the intervention. Method: A total of 142 participants underwent the counting blessings intervention for seven consecutive days, and 111 of them participated in a follow-up assessment one month later. Results: While no significant interaction was found between experimental conditions (Positive Condition, Negative Condition, Control Condition) and time regarding emotional outcomes, moderation analysis revealed differential interactions between optimism levels and expectancies, particularly influencing positive emotions. For participants with low optimism, positive emotions significantly increased from post-intervention to follow-up in the Positive Condition and from pre-intervention to post-intervention in the Negative Condition. Participants with medium optimism experienced an increase in positive emotions across all conditions from pre-intervention to follow-up and from post-intervention to follow-up. High optimism participants showed an increase in positive emotions from pre-intervention to follow-up and post-intervention to follow-up in the Positive and Control Conditions. Conclusions: Our findings emphasize the effectiveness of a brief gratitude journal and underscore the nuanced role of response expectancy, especially in interaction with the initial level of optimism, in enhancing positive emotions. These results hold significance for both theoretical understanding and clinical applications.
Key Words: Response expectancy, Gratitude intervention, Positive Emotion, Negative Emotion, Optimism, RC
Assessment of Weak Segments in Cantilever Beams training dataset
No full textThis dataset is generated by considering 20 segments of 50 mm along a cantilever beam of 1000 mm in length. Iteratively damage scenarios have been generated by altering Young's modulus for different segments. With an original relation, we generate as input data the Relative Frequency Shift for training a neural network having as output the altered sectors and also the severity of the alteration
DFT-ANN database
No full textDatabase containing the Input and Target values for training a neural network in order to determine the correction coefficient for a generated short time signal of 7Hz.
The Input data consists of the normalized values of the magnitudes in the DFT for different signal lengths.
The Target data consists of the normalized correction coefficients used to calculate the real frequency of the signal.
After the network is trained, the test data in the following dataset can be used for testing
Test data for DFT-ANN
No full textTest data consists in short time signals with two frequency scenarios fo = 5 Hz and fo = 7 Hz.
To determine the accuracy of finding the correction term, for signals with any amplitude and frequency, by employing the trained network using the data from