cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7021838.v1
title: Supplementary Material for: Effects of Long-Term Treatment with T-PEMF on Forearm Muscle Activation and Motor Function in Parkinson’s Disease

description: Bipolar pulsed electromagnetic stimulation applied to the brain (T-PEMF) is a non-pharmacological treatment which has been shown to stimulate nerve growth, attenuate nerve abnormalities, and improve microcirculation. We report on a 62-year-old, medically well-treated man with idiopathic Parkinson’s disease. He was treated with T-PEMF, 30 min per day for three 8-week periods separated by two 1-week breaks. The disease made his handwriting impossible to read mainly due to small letters and lack of fluency. Forearm EMG measured during standardized conditions showed an involuntary spiky EMG pattern with regular burst activity (on his left side) at baseline. The intervention normalized the handwriting and forearm EMG. The UPDRS-motor score decreased from 25 to 17, and UPDRS-II-handwriting decreased from a pre-intervention value of 3 to 0 after the intervention. Finally, the patient reported improved fine motor function, less muscle stiffness, less muscle cramps and tingling, and less fatigue during the day in response to the T-PEMF treatment. The improved handwriting lasted for approximately 3 months after the treatment. Our results should be considered as preliminary, and large-scale, controlled studies are recommended to elucidate the therapeutic potential of long-term treatment with T-PEMF.
DOI: 10.6084/m9.figshare.25289125.v1
title: Flow and transport in coastal aquifer-aquitard systems

description: The numerical and laboratory results are in close agreement, revealing that upward leakage from the semi-confined aquifer into the saltwater wedge of the overlying unconfined aquifer caused buoyant instabilities to form. The development of freshwater fingers created complex saltwater-freshwater mixing, leading to mixed saltwater influx-efflux patterns across the sloping aquifer-ocean interface. Compared with non-tidal conditions, tidal forces reduced the net upward leakage from the semi-confined aquifer to the overlying unconfined aquifer.
DOI: 10.6084/m9.figshare.25746267.v6
title: <b>Supplemental Data Set S2. </b>Summary of the predicted loci in <i>Arabidopsis halleri </i>and <i>A. lyrata</i>

description: <b>Supplemental Data Set S2. </b><b>Summary of the predicted loci in </b><b><i>Arabidopsis halleri </i></b><b>and </b><b><i>A. lyrata.</i></b> The colored cases represent the score of miRkwood prediction (from 1 to 6) (Guigon et al., 2019). The letter “S” indicates that the miRNA has been predicted by Shortstack 4.0.2 (Johnson et al., 2016).<br>Preferential loading into AGO proteins depends on abundance in AGO1 or AGO4. Reads for each sample were normalized to RPM, and the average abundance was calculated across all conditions and replicates. miRNAs were considered preferentially loaded into AGO1 or AGO4 if their abundance showed at least a five-fold difference between the two. Below this threshold, dual loading was assumed (miRNA loaded equally in both). "Not loaded" refers to small RNAs seen in the input but not in AGO1 or AGO4, while "NA" indicates the miRNA was absent in the input.<br>
DOI: 10.6084/m9.figshare.27156204.v1
title: Media literacy (URUGUAY)

description: Dataset: Media literacy (Uruguay)
DOI: 10.6084/m9.figshare.27721332.v2
title: Survey Data and experiment results on Sexual Objectification and Self-Objectification: Male and Female Participants

description: Within the framework of objectification theory, this study explores same-sex objectification in three heterosexual interpersonal contexts—Strangers, Colleagues, and Friends—within a Chinese cultural setting. It examines how perpetrator type, comment valence, and comment type influence self-objectification and enjoyment of sexualization, comparing reactions between men and women. Using a randomized design, 202 heterosexual females and 193 males were exposed to objectifying comments from same-sex individuals in these scenarios. Participants completed two questionnaires: the Self-objectification Questionnaire and the Enjoyment of Sexualization Scale.
DOI: 10.6084/m9.figshare.29049371.v2
title: Full data set collected from all hospitals.xlsx

description: Abstract Background: Antimicrobial Resistance (AMR) is increasingly recognised in equine medicine. Antimicrobialuse(AMU) is a key driver of AMR. Objectives:To pilot a point prevalence survey (PPS), based on the Global-PPS used in human hospitals, to obtain data on antibiotic prescribing and AMR in equine hospitals and to identify targets for improvement in AMU. Study Design: Point prevalence survey. Methods: Eight equine hospitals located in Australia, Belgium, South Africa, the United Kingdom and the United States were recruited. Data on AMU were collected from all in-patients on antibiotic treatment at 08h00 on four selected study days throughout the study year (2022). Results: In total, 742 patients, 310 (41.8%) surgical and 432 (58.2%) non surgical cases, were evaluated and 58.7% (182/310) surgical and 25.9%(112/432) non surgical patients were on antibiotics. The most prescribed antibiotics were penicillin, gentamicin and trimethoprim sulfonamides. In 45.2% (215/476) of prescriptions, use was prophylactic.Therapeutic use was based on a biomarker in 48.8%(127/260) of treatments. A sample was submitted for culture in 56.9% (148/260) of therapeutic treatments. A positive culture result was reported from 49.3%(73/148) of samples, with an antibiogram available for 90.4% (66/73) of the positive cultures. An antibiotic use stop/review date was not recorded in 59.5% (283/476) of uses. Main Limitations: This PPS was a pilot study with a relatively small sample size and likely does not reflect AMU in all types of equine hospitals in all geographic locations. Conclusions and Clinical Relevance: The PPS identified multiple ways in which antibiotic prescribing could be improved. Targets identified for stewardship interventions included empiric use of European Medicines Agency Category A and B antibiotics, the high prevalence of prophylaxis and the lack of use of a stop/review date. The survey could be used as a repeatable tool to assess stewardship interventions in equine hospitals.
DOI: 10.6084/m9.figshare.23748921.v1
title: TBRNAT: Tuberculosis Regulatory Network Analysis Tool

description: TB<em>RNAT</em> was developed to amalgamate information from peer-reviewed publications related to the regulation of <em>M. tuberculosis</em> transcription factors on gene expression and provide users with an intuitive way to visualize this data. The data provided is in text form and is meant to be used by a graph database such as Neo4j. There are two files: a TbRNAT.csv file and a TBREGNET.csv file. The former contains labels for each transcription factor in the database. The column titles are self-explanatory with the exception of 'id' which is an internal id created for use with Neo4j. The latter file contains 'sourceId' and 'targetId' which are also Neo4j identifiers. 'totalAssociations' is the number of direct associations ("edges") for a particular transcription factor. 'pmid' = PubMed identifier referencing where the data was obtained <br>
DOI: 10.21954/ou.rd.28675925.v2
title: Supporting data for 'Students’ perceptions on AI Digital Assistants: should institutions invest in their own AIDA?'

description: This mixed methods study explores 315 distance learning students' perceptions of Artificial Intelligence Digital Assistants (AIDA) over an 11-month period in three distinct studies. The research investigates student perspectives on both a publicly available AI Digital Assistants (p-AIDA), such as ChatGPT, and a potential institutionally developed AI Digital Assistant (i-AIDA). Findings indicate that students highly valued 24/7 immediate academic feedback and personalization of i-AIDA, and these perspectives remained largely stable across the three studies. However, concerns about academic integrity, data privacy, and ethical implications persisted across the studies. A cluster analysis identified three distinct student groups of highly critical, supportive, and keenly supportive learners, with key differences based on prior GenAI experience, educational background, and age. The study underscores both the potential and challenges of developing institutional AI solutions to enhance student learning while addressing privacy and ethical concerns.Included in this dataset is the raw/derived data (Data_open1.xlsx) and an associated syntax file for analyses (syntax_open.txt).
DOI: 10.5522/04/21308124.v1
title: The TAWOS dataset

description: TAWOS (Peacock in Farsi and Arabic) is a dataset of agile open-source software project issues mined from Jira repositories including many descriptive features (raw and derived). The dataset aims to be all-inclusive, making it well-suited to several research avenues, and cross-analyses therein. This dataset is described and presented in the paper "A Versatile Dataset of Agile Open Source Software Projects" authored by Vali Tawosi, Afnan Al-Subaihin, Rebecca Moussa and Federica Sarro. The paper is published in the Proceedings of the 19th International Conference on Mining Software Repositories (MSR 2022). For further information please refer to "https://github.com/SOLAR-group/TAWOS". <br> P.S.: A previous version of this dataset was once available which is replaced with this new version; thus, the older version is no longer publicly accessible.
DOI: 10.6084/m9.figshare.12651641.v1
title: Why species richness of plants and herbivorous insects do or do not correlate?

description: Data for plant community composition and plant–insect interactions collected in semi-natural grasslands formed on edges of rice fields in Tokyo, Japan.
DOI: 10.6084/m9.figshare.22361605.v1
title: ANOSIM output all species

description: R ANOSIM output for all species
DOI: 10.6084/m9.figshare.25648872.v1
title: Appendix_A_specimen_list

description: This work utilises a morpho-geometric analysis to evaluate the traditional morphology-based delimitation of informal species groups and discusses the importance of morphological characters in systematics, utilising the widespread mygalomorph spider genus <i>Neodiplothele</i> Mello-Leitão, 1917 as the model.
DOI: 10.17632/bgsx9fjw4d
title: Fisheries Dataset: Fish Species Classification and Attribute Analysis

description: The Fisheries dataset consists of 7,159 samples from various fish species, each with attributes such as weight, length, height, and width. It includes species like Breams (1035 samples, avg. weight 616g, length 28.7 cm), Parkki (1011 samples, avg. weight 175g, length 18.6 cm), Perches (1056 samples, avg. weight 533g, length 24.1 cm), Pikes (1017 samples, avg. weight 927g, length 44.4 cm), Roach (1020 samples, avg. weight 198g, length 24.1 cm), Smelts (1014 samples, avg. weight 13g, length 11.5 cm), and Whitefish (1006 samples, avg. weight 629g, length 30.6 cm). This diverse dataset is designed for predictive modeling and species classification tasks.
DOI: 10.17632/mvkghsb6tz
title: Impact of Asymmetric Volatility and Extreme Shocks on USD/PEN and EUR/PEN Exchange Rates (2015-2024): A Comparative Analysis Using GARCH Models

description: The data presented consist of daily time series of USD/PEN and EUR/PEN exchange rates for the period from January 2015 to June 2024. These data were collected from official sources such as the Superintendencia de Banca, Seguros y AFP del Perú (SBS) . The purpose of the analysis is to evaluate asymmetric volatility in these currency pairs in response to extreme events like the COVID-19 pandemic, the war in Ukraine, and political instability in Peru.

Research Hypothesis The study proposes that asymmetric econometric models like TGARCH, EGARCH, and PGARCH are more effective in capturing and predicting volatility generated by negative news and extreme shocks compared to symmetric models like GARCH.

Key Findings

There is a strong relationship between global geopolitical and economic events and fluctuations in exchange rates.
Asymmetric models more accurately capture the sensitivity of currencies to negative news and extreme shocks.
Exchange rate fluctuations directly affect investment decisions and hedging strategies in emerging markets.
Data Collection The data were transformed using logarithms and differences to stabilize variance and ensure stationarity, which was validated through unit root tests (ADF). Additionally, a wavelet-based outlier detection method was implemented to ensure the accuracy of the models.

Interpretation and Use of the Data These data are useful for:

Predicting volatility in emerging markets.
Designing hedging strategies in the face of financial uncertainty.
Formulating public policies that mitigate the effects of exchange rate volatility.
DOI: 10.6084/m9.figshare.24966507.v1
title: Multi-scale-brain-function

description: Cortical time-series signal were derived from fMRI data using the Desikan-Killiany atlas with 68 regions. Structural connectome were generated using the the Desikan-Killiany atlas with 68 regions.
DOI: 10.6084/m9.figshare.19203374.v2
title: Weather stations.xlsx

description: Weather station in Denmark, Finland, Lithuania, Norway and Sweden and their corresponding regions
DOI: 10.6084/m9.figshare.28075175.v1
title: NPY FILES FOR TC oscillations

description: Theoretical descriptions of tropical cyclone intensification assume convective motions to keep the atmosphere in neutrally stable conditions. Under those circumstances, only surface heat fluxes matter for the intensification of the cyclone up to a mature phase in which the energy input at the air-sea interface is balanced by frictional energy dissipation. However, simulations performed with a cloud-resolving model in idealized settings show a different picture. The initial intensification is consistent with the theoretical expectations, but the tropical cyclone then undergoes strong oscillations. This behavior is linked to interactions between the cyclone intensity and the stability of the air column. Convective heating warms the middle and upper parts of the cyclone, further warmed by mixing with low stratospheric air, which stabilizes the air column. This limits the upward motion of the near-surface air and the latent heat release and eventually results in a weakening of its intensity. Subsequently, during the intensity decay phase, the middle and upper atmosphere cools, mainly due to cold air being brought in from the surroundings, and this process favors again convection and so a new intensification phase.
DOI: 10.6084/m9.figshare.26181155.v1
title: SILMAS data of mouse brain

description: Light sheet microscopy data from aSyn transgenic mouse brain with (Alanine 53 GCA &gt; ACA) mutation. Injected with preformed fibrils of aSyn and endogenously expresses human aSyn, fused to eGFP. Dataset recorded with SILMAS.
DOI: 10.6084/m9.figshare.6817337.v1
title: Additional file 1: of Herding behavior in Ramadan and financial crises: the case of the Pakistani stock market

description: Data File. (XLSX 1871Â kb)
DOI: 10.17632/np92pry38b
title: Data for: Energy Security, Electricity, Population and Economic Growth: The Case of a Developing South Asian Resource-Rich Economy

description: This data file contains information on electricity consumption, gross domestic product, capital formation and population for Nepal from 1975-2014.
DOI: 10.6084/m9.figshare.13365260.v1
title: Supplementary Material for: Clinical Application of 7T Magnetic Resonance Imaging in Patients with Focal Cortical Dysplasia IIa and Epilepsy

description: <b><i>Background:</i></b> Focal cortical dysplasia (FCD) is one of the most important pathogenic findings in patients with extratemporal lobe epilepsy. Magnetic resonance imaging (MRI)-negative is the most important negative factor to predict postoperative seizure freedom; however, FCD-I and part of FCD-IIa are MRI-negative on routine MRI. <b><i>Objectives:</i></b> To explore the diagnostic values of 7T MRI and its new scan sequences in epilepsy patients with FCD-IIa. <b><i>Methods:</i></b> To include patients with focal seizure and suspicious focal abnormal imaging on 3T MRI during preoperative evaluation and perform a 7T MRI scan with white matter-suppressed (WMS) and gray-white matter tissue border enhancement (GWBE) sequences, resective epilepsy surgery, and postoperative pathological finding of FCD-IIa. The preoperative qualitative and localization significance of 7T MRI and 3T MRI in lesions with FCD-IIa was compared, and then, the imaging characteristics of lesions with FCD-IIa on 7T MRI were analyzed. <b><i>Results:</i></b> Ten cases were enrolled in this study. Seven tesla MRI presented high spatial resolutions and a high signal-to-noise ratio. WMS and GWBE could selectively suppress the signal of special tissue and improved the possibility of FCD findings. FCD-IIa showed abnormal thickness of gray matter and a blurring border and was hypointense on 7T MRI compared with 3T MRI. Seven patients showed improvement in the qualitative diagnosis strength grade of FCD, and 6 subjects showed improvement in the localization strength grade of the lesion border after careful reading of the 7T MR images. Significant differences were found in the qualitative diagnosis of FCD (<i>p</i> &lt; 0.05) and localization of the lesion border (<i>p</i> &lt; 0.05) between the neuroimaging diagnoses based on 3T MRI and the findings based on 7T MRI. <b><i>Conclusion:</i></b> 7T MRI with WMS and GWBE sequences shows application value in the preoperative imaging diagnosis of lesions with FCD-IIa in epilepsy patients.
DOI: 10.6084/m9.figshare.18857654.v8
title: Data from: The potential and realized foraging movements of bees are differentially determined by body size and sociality

description: This dataset consists of 425 foraging range measurements for 101 bee species. 383 measurements are classifiable into typical or maximum foraging ranges, which are presented and analysed in relation to body size, sociality and measurement type in Kendall et al. (2022). 42 additional measurements, which were considered unclassifiable and not formally analysed, are included here out of general interest. A reference list for all range measurements and species' life history trait information is also included.<br>All R code for conducting our analyses is also provided.
DOI: 10.6084/m9.figshare.26722704.v1
title: Additional file 4 of Phenotypic and genetic analysis of children with unexplained neurodevelopmental delay and neurodevelopmental comorbidities in a Chinese cohort using trio-based whole-exome sequencing

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.16584119.v1
title: McKee full submission.pdf

description: Submission to the Australian eSafety Commissioner call for evidence on mandatory age verification for pornography
DOI: 10.6084/m9.figshare.27176445.v1
title: GaMD simulation for apo GC-A

description: Topology file: step5_input.parm7 (AMBER format)Initial coordinate file: step5_input.rst7 (AMBER format)GaMD equilibration input file: md.inGaMD production input file: gamd-restart.inFinal snapshot of GaMD simulations (500ns):run1-gamd-500ns.pdb (simulation 1);run2-gamd-500ns.pdb (simulation 2);run3-gamd-500ns.pdb (simulation 3)
DOI: 10.6084/m9.figshare.29133731.v1
title: data.zip

description: LLM training
DOI: 10.17632/gsfzgxzcpw
title: Utilizing HDPE and PET Plastic Waste as the Replacement for Aggregates in Concrete

description: Abstract
Plastic waste, especially PET and HDPE, is a substantial threat to the environment, and locating ways to reuse this waste is critical. Innovative solutions are required to manage the growing plastic waste crises environmental implications. In order to improve building materials while lowering plastic pollution, this study explores the viability of adding Polyethylene Terephthalate (PET) and High-Density Polyethylene (HDPE) plastic waste to concrete mixtures. Different amounts of HDPE (2%, 3%, and 4%) and PET (9%, 12%, and 15%) were used in concrete mixes in place of traditional aggregates. (The coarse aggregates were replaced with the PET plastic waste and the fine aggregates were replaced with the HDPE plastic waste) with the given percentages. The optimal replacement for aggregates in concrete is achieved by substituting 2% HDPE and 9% PET, this material exhibits superior split-tensile, compressive and flexural strengths relative with conventional concrete. The mechanical properties of the concrete were evaluated through tests measuring split tensile strength, flexural strength and compressive strength. Also investigated how the type, size, and amount of plastic waste added, along with how the concrete cured, affected the final properties of the concrete. It is important to take into account the environmental impact of producing and transporting plastic trash to the mixing site even if using HDPE and PET waste in concrete offers potential advantages. To reduce the overall carbon footprint of this strategy, sustainable procurement and recycling techniques should be used.

Keywords: Plastic waste, polyethylene terephthalate (PET), high-density polyethylene (HDPE), flexural strength, splittensile strength, compressive strength
DOI: 10.6084/m9.figshare.12449306.v1
title: JARVIS-DFT Finite Difference Elastic Constants (JVASP-15876to JVASP-16693)

description: Contains input/output files for finite difference method based elastic calculations in the JARVIS-DFT.
DOI: 10.6084/m9.figshare.14401283.v1
title: imagenet16_sketch

description: Imagenet sixteen class Sketch dataset
DOI: 10.6084/m9.figshare.6931418.v1
title: Supplementary data from Rapid aggregation of biofilm-covered microplastics with marine biogenic particles

description: This file provides data on the proportions of microplastics and particulate organic carbon that were included in the aggregates during the experiments.
DOI: 10.17632/z4j23mc3g6
title: Quantum Chemically Calculated Abraham Parameters for Quantifying and Predicting Polymer Hydrophobicity

description: Data associated with the titled paper. 
Abstract: The leakage and accumulation of plastic in the environment is a significant and growing problem with numerous detrimental impacts and has led to a push toward the design and development of more environmentally benign materials. To this end we have developed a quantum chemistry (QC) based model for predicting the mobility of polymer materials from molecular structure. Hydrophobicity is used as a surrogate for mobility given that hydrophobic interactions drive much of the partitioning of contaminants in and out of various environmentally relevant compartments. To model polymer hydrophobicity we adjusted a previously developed Quantum Chemically Calculated Abraham Parameter (QCAP) model to calculate Abraham Parameters (AP) of small molecules from molecular structure information. The resulting model predicted the octanol-water partition coefficient (KOW) of polymer repeating units with a root mean square error (RMSE) of 0.48 (log scale). Additionally, the hydrophobicity of high molecular weight polymer materials was captured though solubility parameters and nile red staining experiments from the literature and predicted with RMSEs of 1.21 (J/cc)0.5 and 3.42 nm respectively. Finally, to test the environmental applicability of the model the relative adsorption capacity of three polymers were predicted and used to unify sorption isotherms across multiple sorbates and polymer sorbents.
DOI: 10.6084/m9.figshare.14828577.v1
title: The orignal data of NCS.xlsx

description: These data are the color depths of some samples of NCS INDEX 1950 Original calculated by 5 color depth formulas, and all the specimens were measured by applying an X-Rite Color i7.