cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fjm652j7gf.1
title: CALM scale evaluation dataset

description: Study aim: to test the validity, sensitivity and reliability of the CALM scale for evaluation of responses to large body balance perturbations in the mediolateral direction. Design: analysis was conducted on data from 46 healthy university students of both genders. Task The task aim was to recover the body balance after unpredictable perturbations, trying to maintain the initial Romberg posture. Perturbations were applied through varying displacements of the support base on a custom made moveable platform. Support base displacements were made in the mediolateral direction, in three modalities: rotation, translation and the combined translation-rotation. Displacements were made in both directions in three speeds (20, 30 and 40º (cm)/s). Combination of modality, direction and perturbation velocity factors resulted in 18 distinct perturbations, making each perturbation unique in the protocol. The sequence of perturbations was pseudorandomized among all possibilities of variation of postural perturbation. Statistical analysis Reliability: Intra and inter-rater analyzes were performed by means of coincidence scores and intra-class correlation coefficient (ICC). Validity: CALM scale scores and corresponding kinematic data were correlated by the Pearson product moment test. Sensitivity was analyzed through three-way 2 (group: trained x untrained) x 3 (perturbation: rotation x translation x combination) x 3 (velocity: low x moderate x high), ANOVAs with repeated measures on the last two factors. Post hoc comparisons were made through the Newman-Keuls test (ηp2). Highlights Scale for evaluation of compensatory arm and leg movements to balance perturbation Large magnitude unpredictable balance perturbations in the mediolateral direction Patterns of compensatory movements are rated as a function of their stability High reliability, validity, and sensitivity to perturbation magnitude and training Instrument potentially able to predict probability of falls in at-risk individuals
DOI: 10.17632/r623cg9sc3.1
title: Social Anxiety Study

description: Objective: To investigate: (1) whether changes in the focus of attention would lead to changes in the levels of self-referential emotion of shame, self-criticism, and negative self-evaluations; and (2) whether self-criticism moderates the relationship between self-focused attention and self-referential emotion of shame.
DOI: 10.17632/9jchyjrxmy.1
title: Phylogenomic dataset and analysis files for the updated classification of the kingdom Fungi

description: A 300-gene dataset and tree inferences aimed at exploring the phylogenetic relationships of the fungal phyla and revising the higher-level classification of the kingdom Fungi. The phylogeny reconstructions were performed using Maximum likelihood and Bayesian methods implemented in the IQ-TREE and PhyloBayes programs, and employed the site-heterogeneous models of sequence evolution. The results are detailed in the “Classes and phyla of the kingdom Fungi” by Wijayawardene et al.
DOI: 10.17632/5j6csksgb4.5
title: Raw data CSV processed for use in smartPLS-Fintech India-customer predispositions-engagement-advocacy behaviour

description: The dataset contains raw data for perceived values for customer predispositions, CEBs, and customer advocacy collected from 380 FinTech app users in south India by administering a survey questionnaire. The dataset thus obtained was cleaned and processed for being used in smartPLS3. Structural Equation Modelling (SEM) using partial least squares (PLS) method was later applied to this dataset in smartPLS3 to test the theoretical model, assess the structural model, and understand the direct and indirect effects of the variables.
DOI: 10.17632/n39bxkmsd5.1
title: Data for: An Exploratory Study of Cyber Hygiene Behaviors and Knowledge
DOI: 10.17632/g6tc23z48p.1
title: Data for: PyFEST - a Python code for accurate frequency estimation

description: The PyFEST application written in Python language allows a simple and accurate frequency estimation of generated or measured signals. Our focus is on analyzing the vibration response of structures to detect cracks in an early state.
DOI: 10.17632/wm8wkpg5bp.1
title: Raw data of gut microbiota, blood metabolome and feces metabolome

description: In this study, we evaluated the potential of semaglutide to alleviate Diabetes-associated cognitive decline（DACD） in mice with DM. Eight-week-old mice fed a high-fat diet with streptozotocin-induced DM were subcutaneously injected with semaglutide (30 nmol/kg qd) for 12 weeks. Semaglutide treatment increased the relative abundances of g_Alistipes, g_norank_f_Eubacterium_coprostanoligenes, g-_Bacteroides, and g_Parabacteroides, while decreasing the relative abundances of g_ faecalibaculum, g_Colodertribacter, g_GCA-900066575, g_Erysipelatoclostridium, and g_norank_f_Lachnospiraceae. Semaglutide also induced alterations in fecal and serum metabolites, as well as transcriptomic changes in brain tissue, with significant common enrichment in neuroactive ligand-receptor interactions. Furthermore, strong correlations were observed among semaglutide-affected genes, metabolites, and microbiota, as assessed by correlation analysis and integrative modeling. In conclusion, these findings suggest that the protective effects of semaglutide against DACD are likely mediated through the microbiota-gut-brain axis. The data showed the raw data of blood metabolome,feces metabolome and gut microbiota.
DOI: 10.17632/rsf3m4mmht.1
title: Dataset for Determinants of Firm Innovation Strategy

description: The objective of this study is to examine the determinants of firm innovation strategy in low-resource settings. Consequently, the gaps in the literature highlighted the need to address the following questions: what strategies do product-innovating firms adopt? and what are the key determinants for these strategies? The study hypothesis include:
Hypothesis 1a: Research and Development is positively associated with the probability of adopting the (a) make, and (b) ally innovation strategy. 
Hypothesis 1b: Replacement of outdated products is positively associated with the probability of adopting the (a) make, (b) buy, and (c) imitate innovation strategy.
Hypothesis 2a: Firm age is negatively associated with the probability of adopting the (a) make, and (b) imitate innovation strategy. 
Hypothesis 2b: Firm export status is positively associated with the probability of adopting the make innovation strategy.
Hypothesis 2c: Firm size is positively associated with the probability of adopting the (i) make, (ii) buy, and (iii) ally innovation strategies
Hypothesis 3: Lack of absorptive capacity is negatively associated with the probability to adopt the (a) make, and (b) imitate innovation strategy.
The results indicate that the strategies firms adopt in low-resource settings vary with expenditures on innovation activities, firm characteristics, and the objectives of product innovation. Specifically, firms are likely to adopt the “Make” innovation strategy when expenditure is channeled to external R&D and the acquisition of machinery. Internal R&D has no significant observable effect on any of the strategies adopted by product-innovating firms. However, older firms are less likely to adopt the "Make" innovation strategy, while firms lacking internal technical expertise rely on the "Buy" and "Imitate" innovation strategies. Moreover, firms are less likely to adopt the “Ally” and “Imitate” innovation strategies if their close competitors are sources of information for innovation.
DOI: 10.17632/fc8ngsgf9g.1
title: Data for: Supplier selection and pre-positioning strategy in humanitarian relief: a case study

description: Data for demand and probability
DOI: 10.17632/n7t6ctp2st.1
title: The LisbOn KInetics Monte Carlo solver

description: The LisbOn KInetics Monte Carlo (LoKI-MC) is an open-source simulation tool that solves the electron kinetics for low-temperature plasmas excited by uniform DC electric fields from different gas mixtures, using Monte Carlo techniques. Following the strategy and data organization of the LisbOn KInetics Boltzmann (LoKI-B) solver, the program easily addresses any complex mixture of atomic/molecular species, describing electron collisions with any target state (electronic, vibrational and rotational), characterized by any user-prescribed population. LoKI-MC is written in C++, benefiting from a highly-efficient object-oriented structure. On input, the code requires the working conditions, the gas-mixture composition, the distributions of populations for the levels of the atomic/molecular gases considered, and the relevant sets of electron-scattering cross sections obtained from the open-access website LXCat. On output, it yields the electron energy and velocity distribution functions, the electron swarm parameters, the collision rate-coefficients, and the electron power absorbed from the electric field and transferred to the different collisional channels. This paper presents LoKI-MC and gives examples of results obtained for different model and real gases, verifying and benchmarking the simulation tool against analytical solutions and other available codes, and assesses its computational performance. Moreover, the effects of the gas temperature, anisotropic ionization scattering (induced by momentum conservation) and superelastic collisions are analyzed in real gases.
DOI: 10.17632/f35c6xzzcm.1
title: Open STM: A low-cost scanning tunneling microscope with a fast approach method

description: We describe a low-cost STM design and a fast approach method based on the piezo slider in this paper. The total cost of our STM will be less than 2000 CNY(280 USD), working in NPT and low-voltage systems. The method decreased the approach time to 1min by measuring the current flow between the tip and sample. The brake moan in the slider causes a vibration. In the STM, it will become a capacitance change, thus a current flow. The current flow is proportional to the distance between the tip and the sample. Therefore, setting the threshold will improve the approach time. Lastly, we performed a simple bias voltage test and image scan on the HOPG sample. We obtained a characteristic bias curve and atomic image, triangle lattice of STM HOPG image was observed.
•	3D Models
The STM body is predominantly manufactured through CNC machining of aluminum blocks. A total of 7 components need to be machined. We provide the original Solidworks design and STEP files for manufacturing in this folder. Thread information is documented in the corresponding PDF files.
•	PCB
The STM includes eight PCBs, three utilized for the microscope's control circuit, one for the pre-amplifier, and four for circuitry interconnection. The PCBs were designed using EasyEDA, and this folder includes project files, schematics, and Gerber files for PCB manufacturing.
•	HardwareCode
The central controller for the circuit control section employs the ESP32-WROOM-32E-N8 microcontroller module. This folder contains the microcontroller firmware and source code (written using the ESP-IDF framework with PlatformIO).
•	PythonScript
This folder includes supervisory software written in Python. Install the libraries and launch the software by running “launch.bat”.

All software source code(/PythonScript) is licensed under GPLv3. (https://www.gnu.org/licenses/gpl-3.0.en.html)
Everything else is licensed under CC-BY-SA-4.0. (https://creativecommons.org/licenses/by-sa/4.0)
DOI: 10.17632/fv6gmkj9cd.1
title: Data for: Composite basement along the southern margin of the North Australian Craton: evidence from in-situ zircon U-Pb-O-Hf and whole-rock Nd isotopic compositions

description: Results zircon U-Pb geochronology Results zircon O isotopic compositions Results zircon Hf isotopic compositions Results whole-rock Nd isotopic compositions of hosting granitic rocks
DOI: 10.17632/4ykjz4ngwt.1
title: Computed Aluminum Grain Boundary Structures and Energies Covering the 5D Space of Crystallographic Character

description: This dataset of 7304 aluminum grain boundaries provides comprehensive coverage of the 5D space of crystallographic character. The dataset and some of its characteristics are described in detail in https://doi.org/10.1016/j.actamat.2022.118006. The dataset here includes a zip file with all 7304 minimum energy grain boundary structure files, which are minimized dump files from LAMMPS. The dump files only include atoms +/- 15 angstroms from the grain boundary plane. The CSV file contains information about all 7304 grain boundaries, including information about the crystallographic character and a few computed properties. A README file provides a description of the columns of the CSV file.
DOI: 10.17632/szv5dymjzj.2
title: SM_Image_Dataset

description: This is the real time dataset of images. For dataset, we have prepared a questionnaire with the help of a Psychological counselor. After that, we interviewed 75 subjects aged ranges from 18-22 in a one-to-one manner. To record the video, we used a study table, selfie stick, and mobile phone properly adjusted. After that using Python code we converted the video into images. Dataset contains an emotions of students aged between 18-22. Dataset contains 392 labelled sample images of different emotions like Neutral, Happy, Angry, Sad, Disgust, Surprised and Fear. This dataset is useful to researchers in emotion recognition, sentiment analysis etc.
DOI: 10.17632/yb4brz3sdx.3
title: Prediction of stiffness modulus of bituminous mixtures using the applications of multi expression programming and gene expression programming

description: The database contains a total 360 data points which was developed using data extracted from asphalt laboratories and plant mixtures. These mixes were designed using aggregates (limestone, sharp sand and filler) and asphalt binders (Trinidad Lake Asphalt - TLA and modified binders - MB). The asphalt mixtures are dense-graded hot mix asphalt (HMA) and gap-graded stone matrix asphalt (SMA). The variables in the dataset were chosen based on the requirements of existing dynamic modulus models as well as requirements for quality control and assurance (QC & QA) evaluation of asphalt concrete mixtures. The data was used to develop soft computing models using gene expression programming and multi expression programming techniques.
DOI: 10.17632/m8g5cf5bvp.1
title: Dataset of WhatsApp Publication (2012-2019)

description: The WhatsApp research & publication dataset, which was indexed by Scopus from 2012 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/wmbhzhdr6b.1
title: Druridge Bay (Northumberland, UK) pond sediment carbon core data for 40 ponds
DOI: 10.17632/9dc288h2h7.1
title: Immunohistochemical Analysis of Tumor Suppressor p53 in p-Dimethylamino Benzaldehyde (DMBA) Induced Hepatocarcinogenesis in Rats (Rattus norvegicus L.) Male Wistar Strains

description: Aims: Hepatocellular carcinoma accounts for approximately 90% of all primary liver malignancies and poses a major global health challenge. The initiation of hepatocellular carcinoma (HCC) is marked by a progressive accumulation of molecular alterations, the origins of which remain largely unclear. This study provides an extensive immunohistochemical analysis of hepatitis, cirrhosis, and HCC using a p-Dimethylamino Benzaldehyde (DMBA)-induced HCC rats model. p-Dimethylamino benzaldehyde (DMBA) is a common environmental polycyclic aromatic hydrocarbon, acting as a mutagen, capable of exerting carcinogenic effects, which can be tested both in cell culture and in vivo animal models.
Study Design: This study used an in vivo laboratory test method.
Place and Duration of Study: Department of Pharmacology and Therapy and Department of Histology, Faculty of Medicine, Udayana University, between December 2023 to July 2024.
Methodology: This study used an in vivo laboratory test method. The laboratory test was in the form of a study on experimental animals, Wistar rats induced by p -Dimethylamino Benzaldehyde (DMBA) treatment. Observation of Hepatocellular Carcinoma in rat liver tissue samples with immunohistochemical tests of expression Tumor Suppressor p53 in tumor and non-tumor hepatocytes.
Results: The results of the hypothesis test study on tumor diameter and immunohistochemical test on the expression of Tumor Suppressor p53 with ROC analysis showed that the cut off tumor diameter obtained a cutoff value of 0.5 with a sensitivity value of 1.0 and a specificity value of 1.0. The results of the ROC analysis showed that the H-score data of wild-type p53 Immunohistochemistry contained 26 samples with 7 positive HCC results and 19 negative samples.
Conclusion: This study shows that in male Wistar rats p-Dimethylamino benzaldehyde (DMBA) -induced hepatocarcinogenesis can be a viable model for studying Hepatocellular Carcinoma in the future.
DOI: 10.17632/mry9z228cv.1
title: Data for: Research on optimal allocation strategy of multiple energy storage in regional integrated energy system based on increment of operation benefit

description: The datas in this file are the datas of electric load, cooling load and heating load required by users in the industrial park in this example, as well as the predicted output data of fan and photovoltaic.
DOI: 10.17632/p2jymnkhdn.1
title: Data for: Why using different Life Cycle Assessment software tools can generate different results for the same product system? A cause-effect analysis of the problem

description: Appendix I and Appendix II show the datasets used to run the simulations and the LCA comparison results for this paper.
DOI: 10.17632/t9h6p943xy.3
title: B-SER: A Bangla speech emotion recognition dataset

description: B-SER is an audio-speech emotion recognition dataset for the Bangla language. The developed dataset consists of voice data from 34 speakers from diverse age groups between 19 to 47 (mean = 28.75 and Standard deviation = 9.346), equally balanced with 17 males and 17 females. This dataset contains 1224 speech-audio data recordings.  There are 4 emotional states recorded for three sentences. The 3 sentences are i. ‘বারোটা বেজে গেছে,’ ii. ‘আমি জানতাম এমন কিছু হবে’, and iii. ‘এ কেমন উপহার’. These emotional states are Angry, Happy, Sad, and Surprise. The format of the audio file is a . WAV format.  The data files are divided into 34 individual folders. Each folder contains 36 audio recordings of each participating actor. The size of the B-SER dataset is 619 MB. While most of the existing datasets of different languages are recorded inside a closed studio or cover a single sentence, this dataset is collected by recording through smartphones, hence preserving the slightly noisy real-life environment. B-SER is compatible with various shallow machine learning and deep learning architectures such CNN, LSTM, HMM, Transformer, etc.  The naming of each audio file of the B-SER dataset is inspired by the RAVDESS dataset. The filename consists of seven two-digit numerical identifiers, separated by hyphens (e.g., 03-01-01-01-02-02-02.wav). Each two-digit numerical identifier defines the level of a different experimental factor. The identifiers are ordered: Modality - Scripted - Name of emotion - Intensity - Statement number - Number of repetition - Actor.wav. For example, the filename “03-01-02-01-03-03-02.wav” refers to: Audio only (03) - Scripted (01) - Sad (02) - Normal intensity (01) - 3rd Statement (03) - 3rd Repetition (03) - 2nd Actor (even number-female actor, odd number-male actor) (02).
DOI: 10.17632/b7y6h2pcdv.1
title: Data for: Using CFD and ray tracing to estimate the heat losses of a tubular cavity dish receiver for different inclination angles
DOI: 10.17632/d49rrd82mv.1
title: Tweets on Cancelled and Boycotted Brands

description: This dataset is part of the paper titled "#Canceled! Exploring the Phenomenon of Canceling" by Krista Hill, Babak Zafari, and Lauren Beitelspacher (2024). It aims to compare the difference between sentiment and emotion in tweets containing the #boycott versus #cancel hashtags.

The file includes 4,507 unique tweets from five brands: Gucci, Facebook, Fairlife, Shein, and SoulCycle. Of these, 4,097 tweets use the #boycott hashtag, and 410 use the #cancel hashtag. The data consists of both the original tweets and processed versions, where punctuation, hyperlinks, emojis, and mentions of Twitter handles have been removed.

If you use this dataset in your research, you should cite the associated paper:
Krista Hill Cummings, Babak Zafari, Lauren Beitelspacher, #Canceled! Exploring the phenomenon of canceling, Journal of Business Research, Volume 186, 2025, 115025, ISSN 0148-2963
https://www.sciencedirect.com/science/article/pii/S0148296324005290
DOI: 10.17632/nvdtm7b6xn.1
title: Secondary Cutaneous Malignancies Associated with Topical Chlormethine in Cutaneous T-Cell Lymphoma: A Systematic Review

description: Topical chlormethine is well-established for use in cutaneous T-cell lymphomas (CTCL), such as mycosis fungoides (MF). Several studies have reported onset of secondary skin cancers resulting after use of chlormethine gel for CTCLs. This systematic review examines this phenomenon.
DOI: 10.17632/8pjfmpxb47.1
title: VPS4A is the selective receptor for lipophagy in mice and humans, Das et al.

description: Mendeley source data for " VPS4A is the selective receptor for lipophagy in mice and humans, Das et al. " contains the following :
1. The imaging source data main figures: Includes all uncompressed microscopy images, arranged according to the figure number in separate folders.
2. The imaging source data supplemental figures: Includes all uncompressed microscopy images, arranged according to the supplemental figure number in separate folders.
3. Uncropped Blots: Includes all uncropped images of western blots, arranged according to the figure number in separate PDF document.
DOI: 10.17632/f89dc85fwk.1
title: Understanding the Effects of Social Media Marketing on Customers’ Bank Loyalty

description: This data were used to analyse and understanding the effects of social media marketing on customers’ bank loyalty in Jordan. We find the following:
This study used customers’ experiences to assess the role of social media marketing (SMM) efforts in increasing online customer-based loyalty in the banking sector in Jordan, and using the two main components of the TAM model, perceived the ease of use and perceived usefulness, to understand the relationship. Data were gathered through an online survey with 329 respondents through online banking services in Jordan. A test of the structural equation model (SEM) indicated that perceived usefulness strongly affects electronic word of mouth (EWM), informativeness (INF), and social media features (SMF); and perceived ease of use is indirectly linked to these factors. Behavioral in-tention is strongly affected by both the perceived usefulness and the ease of use of online banking services. Based on the self-proposed model, e-marketing has impacted customers’ bank loyalty regarding its online services, and the role of social media marketing has remained very important to enhancing customer-based loyalty. This study contributes to the literature by integrating SMF, EWM, and INF in a single framework. It also provides managerial implications and guides for scholars, managers, and practitioners in e-marketing to use customers’ experience to increase customer loyalty. Further research and suggestions are offered.
DOI: 10.17632/4wc88th7j8.1
title: Thermal oxidation of TiZrNbHfTa high entropy alloy at 600 °C 

description: The thermal oxidation behavior of TiZrNbHfTa high entropy alloy with three different microstructures is studied at 600°C, including as-cast, cold-rolled, and rolled&annealed TiZrNbHfTa. The data set provided here corresponds to a paper entitled “Surface hardening of TiZrNbHfTa high entropy alloy via thermal oxidation”, where the data is further interpreted and discussed.