cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9fm94df3x2
title: Brain Electrical Patterns Correlated with Pleasure and Emotion Induced by Atonal Music - Raw dataset

description: Raw dataset of 25 Mexican adult participants (10 females, 15 males; M = 37.8 years old, SD = 15.1) that evaluated 16 musical stimuli regarding valence, arousal, familiarity, and pleasure, while recording their electroencephalographic (EEG) activity. Participants provided their demographic information, that is, age, gender, scholarity, daily time for music listening, preferred genre, and music education. Afterwards, they listened to each of the musical stimuli and evaluated them through continuous scales (from -100 to +100) for each variable. A personalized set of musical stimuli was conducted by selecting the highest and the lowest scores for Valence, Arousal, and Pleasure (with respect tonal and atonal music), resulting in 12 musical stimuli per participant. Electrophysiological data was calculated by extracting Theta power (4-8 Hz) and Alpha power (8-13) with a Fast Fourier Transform, conucted in EEGLAB, at each of the electrode locations (F3, F4, P3, and P4). A natural logarithm (ln) was applied to the EEG power, and then averaged by music group: Tonal-Joyful (TJ), Tonal-Sad (TS), Atonal-Joyful (AJ), and Atonal-Sad (AS). Finally, the interhemispheric activity (IHA) was calculated, by substracting left EEG power to the right EEG power. All participants accepted and gave their informed consent.
DOI: 10.17632/m397m9n99v
title: Dhivehi News Categories Dataset

description: The Dhivehi News Categories Dataset addresses the lack of publicly available resources for Dhivehi, a low-resource language spoken in the Maldives, enabling machine learning (ML) algorithms like k-Nearest Neighbors, Decision Trees, XGBoost, SVM, Naïve Bayes, Random Forest, and Artificial Neural Networks to process Dhivehi text for tasks such as text classification and language modeling. Comprising 6,000 curated news articles from reputable sources (e.g., Sunmv, Haveeru, Raajje.mv), the dataset is balanced across four categories: Business, Sports, Entertainment, and World News, with 1,500 articles each. Articles were collected using Python-based web scraping tools, cleaned to remove duplicates and irrelevant content, and manually categorized for high-quality structured data. It supports NLP tasks like text classification, sentiment analysis, and topic modeling, offering balanced representation, thematic clarity (e.g., by optionally excluding "World News"), and fostering low-resource language research. Stored in UTF-8 for compatibility, it contributes to linguistic, cultural, and media studies while advancing AI and multilingual NLP applications. This pioneering Dhivehi resource enables comparative cross-linguistic studies, innovation in computational linguistics, and linguistic inclusivity, ensuring underrepresented languages like Dhivehi are included in global AI advancements.
DOI: 10.6084/m9.figshare.14975352.v1
title: Student Performance.dta

description: This data set was used to track the performance of a sample of students in Trinidad and Tobago who wrote the Secondary Entrance Assessment (SEA) in 2008 and the Caribbean Secondary Education Certification (CSEC) examinations in 2013. Data were collected from students in forty-eight secondary schools from three randomly selected education districts in Trinidad and Tobago. Student-level variables included prior achievement (SEA test scores), secondary school achievement (CSEC grades), sex, age, socio-economic status, family structure, amount of time spent in extra lessons and extra-curricular activities. School-level variables included school-type, teacher qualifications, measures of teacher efficacy and school discipline.
DOI: 10.6084/m9.figshare.26876422.v1
title: Supplementary Tables for Oe et al. "Western diet exacerbates a murine model of Balkan nephropathy"

description: Western diet exacerbates a murine model of Balkan nephropathy
DOI: 10.6084/m9.figshare.28746500.v1
title: UV Visible spectra for S1, S2, S3 and S4 on glass and quartz

description: Band gaps are obtained from Tauc plots of UV-Vis spectra taken on a thin film of S1,2,3,4 on a glass substrate and band gap obtained from DRS via Kubelka-Munk function from a powder sample. The band gaps obtained from UV-vis Tauc plot and DRS Kubelka-Munk method are consistent with each other; we took the former to calculate the LUMO and cyclic voltammetry to calculate the HOMO energy levels. The band gaps obtained from thin films on a quartz substrate via UV-Vis Taiuc plots do not differ from the results for studies on a glass substrate, although the UV-Vis spectra obtained for the two substrates differ markedly. The indirect band gaps in the UV-vis Tauc plots correspond to the blue emission as expected for our materials.
DOI: 10.17632/jtbnrrmstt
title: Functional genetic variants revealed by massively parallel precise genome editing. Sharon et al
DOI: 10.17632/zhygf2vdsr
title: Data for: Additively manufactured three-dimensional lightweight cellular solids: experimental and numerical analysis

description: A dataset for the publication:
Additively manufactured three-dimensional lightweight cellular solids: experimental and numerical analysis
Albert Forés-Garriga, Giovanni Gómez-Gras, Marco A. Pérez*
Materials and Design, 2023

One of the research fields in which additive manufacturing has made relevant progress is the development and fabrication of cellular solids. These bio-inspired structures are formed by a complex interconnected network of solid struts or shells that cover the space while considerably reducing the weight of the components. Accordingly, this work presents comprehensive research on the mechanical performance of fused deposition modeling three-dimensional lightweight cellular solids, including open-cell and closed-cell patterns with different cell sizes and infill densities. Moreover, two validated strategies for simulating the elastic behavior of cellular solids are investigated, comparing their accuracy and computational requirements. Furthermore, the paper provides experimental evidence on the differences over two-dimensional designs in terms of stiffness and strength while attending to manufacturing aspects such as printing time, proving that the elastic modulus, the compression strength, and the energy absorption efficiency are significantly superior to that obtained by two-dimensional patterns for an equivalent relative density. Furthermore, results prove that controlling engineering parameters allows producing lightweight structures with a wide range of specific stiffness and strength. Finally, experimental evidence states that the Shell-TPMS designs proved to be the most efficient cellular pattern, followed by the Skeletal-TPMS and the lattice configurations.

This dataset contains:

STL Files:
Bending Tests: 200x20x20 mm 3D-CAD geometry of the two and three-dimensional designs, Hexachiral and Diamond respectively, employed in the validation test of the study, ready for manufacturing or simulating.
Compression Tests: 40x40x40 mm 3D-CAD geometry of each three-dimensional design considered in the study, ready for manufacturing or simulating.

Test Files:
Bending Tests: Stress vs Strain data of the experimental bending tests conducted with the two and three-dimensional designs, Hexachiral and Diamond respectively.
Compression Tests:
Solid Specimens: Load vs displacement data of the experimental compression tests conducted with Solid ±45º Infill specimens.
Sparse Specimens: Load vs displacement data of the experimental compression tests conducted with Sparse 0.25 mm Infill specimens.
DOI: 10.6084/m9.figshare.10247615.v2
title: Electronic supplementary data from A regional-scale assessment of using metabolic scaling theory to predict ecosystem properties.

description: The metabolic scaling theory (MST) is one of ecology's most high-profile general models and can be used to link size distributions and productivity in forest systems. Much of MST's foundation is based on size distributions following a power law function with a scaling exponent of −2, a property assumed to be consistent in steady-state ecosystems. We tested the theory's generality by comparing actual size distributions with those predicted using MST parameters assumed to be general. We then used environmental variables and functional traits to explain deviation from theoretical expectations. Finally, we compared values of relative productivity predicted using the MST with a remote-sensed measure of productivity. We found that fire-prone heath communities deviated from MST-predicted size distributions, whereas fire-sensitive rainforests largely agreed with the theory. Scaling exponents ranged from −1.4 to −5.3. Deviation from the power law assumption was best explained by the specific leaf area which varies along fire frequency and moisture gradients. While the MST may hold in low-disturbance systems, we show that it cannot be applied under many environmental contexts. The theory should remain general, but understanding the factors driving deviation from the MST and subsequent refinements are required if it is to be applied robustly across larger scales.
DOI: 10.6084/m9.figshare.28448264.v1
title: Updating the Genome Annotation

description: Updating the Genome Annotation.
DOI: 10.17632/vv3zgwwpk3
title: data on foot and plantar pressure and gait cycle

description: Although the foot is involved in load bearing and shock absorption, foot pressure (FP), ground contact area (CA), and gait cycle (GC) in flatfeet (FF) have not been examined in detail. We aimed to analyze the influence of FF on FP, CA, and GC. We included 20 and 21 women with FF and normal feet (NF), respectively. A Footscan plantar pressure plate (RSscan International, Belgium) was used to analyze FP, CA, and GC. FP was applied to the unit area of 10 total foot regions. GC analysis was performed using phase-time measurements by dividing the GC into four phases. In the analysis, FP and CA between the FF and NF groups were compared. A comparison of GC was similarly carried out between the two groups. The FF group showed significantly higher FP values of toe and midfoot measurements than those seen in the NF group (p &lt; 0.05). We also observed significantly higher CA values of toe, metatarsal, and midfoot measurements in the women with FF than in those with NF (p &lt; 0.05). GC did not differ significantly between the groups.
DOI: 10.17632/yj5gyjjwrs
title: Indian traffic sign videos of hump and pedestrian crossing at various speeds 

description:  following videos are captured by gopro ( 4k 24 fps ) of hump ahead and pedestrian crossing sign boards near Bangalore, Karnataka, India.
DOI: 10.6084/m9.figshare.21551916.v1
title: raw data+statistical analysis.xlsx

description: sheet1 raw data sheet 2 base line sheet3 subgroup raw data sheet4 results of statistical analysis
DOI: 10.6084/m9.figshare.14696304.v1
title: R scripts used to analyze rodent call statistics generated by 'DeepSqueak'

description: The scripts in this folder weer used to combine all call statistic files per day into one file, resulting in nine files containing all call statistics per data. The script ‘merging_dataset.R’ was used to combine all days worth of call statistics and create subsets of two frequency ranges (18-32 and 32-96). The script ‘camera_data’ was used to combine all camera and observation data.
DOI: 10.6084/m9.figshare.4287212.v1
title: Osa bats call library

description: Wav files of bat echolocation calls recorded in the field. File names indicate species, date captured (year-month-day), and the individual's identification number. In each file, pulses have been labeled.<br>
DOI: 10.6084/m9.figshare.7492280.v1
title: The Importance of Scale in Spatially Varying Coefficient Modeling

description: Although spatially varying coefficient (SVC) models have attracted considerable attention in applied science, they have been criticized as being unstable. The objective of this study is to show that capturing the “spatial scale” of each data relationship is crucially important to make SVC modeling more stable and, in doing so, adds flexibility. Here, the analytical properties of six SVC models are summarized in terms of their characterization of scale. Models are examined through a series of Monte Carlo simulation experiments to assess the extent to which spatial scale influences model stability and the accuracy of their SVC estimates. The following models are studied: (1) geographically weighted regression (GWR) with a fixed distance or (2) an adaptive distance bandwidth (GWRa); (3) flexible bandwidth GWR (FB-GWR) with fixed distance or (4) adaptive distance bandwidths (FB-GWRa); (5) eigenvector spatial filtering (ESF); and (6) random effects ESF (RE-ESF). Results reveal that the SVC models designed to capture scale dependencies in local relationships (FB-GWR, FB-GWRa, and RE-ESF) most accurately estimate the simulated SVCs, where RE-ESF is the most computationally efficient. Conversely, GWR and ESF, where SVC estimates are naïvely assumed to operate at the same spatial scale for each relationship, perform poorly. Results also confirm that the adaptive bandwidth GWR models (GWRa and FB-GWRa) are superior to their fixed bandwidth counterparts (GWR and FB-GWR). <i>Key Words: flexible bandwidth geographically weighted regression, Monte Carlo simulation, nonstationarity, random effects eigenvector spatial filtering, spatial scale</i>.
DOI: 10.17632/tbh3pg39xc
title: Mars Science Laboratory aerosol optical depths

description: Optical depths at 440 and 880 nm as measured in Gale crater, Mars, by the Mars Science Laboratory Mastcam instrument. The measurements were made using solar images and synthetic aperture photometry to determine solar flux. The results show typical Martian seasonal patterns, several dust storms, and seasonally varying diurnal changes.
DOI: 10.6084/m9.figshare.1394568.v1
title: Defining the roles of IFN-γ and IL-17A in inflammation and protection against Helicobacter pylori infection

description: Figure 1A
DOI: 10.6084/m9.figshare.26866390.v1
title: Supplementary material S1:Theories and concepts and their corresponding references

description: Theories and concepts and their corresponding references
DOI: 10.6084/m9.figshare.28519904.v1
title: <b>Mindfulness and sustainability competencies in physical education teachers: Demographic factors as moderators</b>m

description: This study explores the relationship between mindfulness (intrapersonal and interpersonal) and sustainability competencies among physical education teachers in Turkey. With sustainability emerging as a critical global concern in the 21st century, physical education is recognized as a vital component of general education, contributing to the development of students' cognitive, affective, and psychomotor skills. Physical education teachers are positioned as key agents of change, capable of inspiring sustainable lifestyles through their passion and proactive engagement. The research investigates how mindfulness, both within oneself and in interactions with others, influences sustainability competencies across social, economic, and environmental dimensions. Additionally, the study examines the moderating role of demographic factors, including gender, education level, and school level, in shaping this relationship. Data were collected from 852 physical education teachers and analyzed using structural equation modeling and moderator analysis. The findings highlight the stronger correlation of intrapersonal mindfulness with sustainability competencies compared to interpersonal mindfulness. Demographic variables were found to significantly moderate this relationship, with female teachers, high school educators, and those with postgraduate qualifications showing a stronger connection between mindfulness and sustainability competencies. The study emphasizes the importance of integrating mindfulness into teachers' personal and professional lives to enhance their capacity to promote sustainability. It calls for targeted training programs and integrative interventions to support this integration. Future research is encouraged to further investigate the dynamic interplay between mindfulness and sustainability, offering transformative potential for educational practices and the achievement of the Sustainable Development Goals.
DOI: 10.6084/m9.figshare.13530209.v4
title: The Winchmore long-term Fertiliser and Irrigation Trial data

description: There are two files containing the soil chemistry data for the Fertiliser and Irrigation trials and two files containing pasture production and botanical composition data. Data are also available for irrigation schedules and soil moisture, temperature and physical measures for the Irrigation trial. Note that the Fertiliser trial was irrigated on the same three-weekly schedule as the Irrigation trial. All files have information concerning the trial design and metadata included in the first two tabs.<br>Please complete the data use form and send it to winchmore@agresearch.co.nz.
DOI: 10.6084/m9.figshare.13614236.v1
title: cscore_info.csv

description: List of High C-score
DOI: 10.6084/m9.figshare.26722840.v1
title: <i>Natural water pollution by heavy metals</i>

description: This study investigates heavy metal pollution in the Styr River, focusing on assessing pollution levels before and after water discharge from the Rivne Nuclear Power Plant (NPP). Consequently, within the context of this study, the aim is to calculate and compare heavy metal pollution indices for the Styr River at locations upstream and downstream of the Rivne Nuclear Power Plant's water discharge (Fig. 1). The general data acquisition specifications are shown in Table 1. The research leverages three heavy metal pollution indices (HPI, HEI, and DC) to evaluate the extent of contamination, offering a nuanced understanding of pollution dynamics within the river system. Previous studies have highlighted the persistent nature of heavy metals in aquatic environments, which pose significant risks to both human health and ecological systems. Industrial activities, particularly from nuclear power plants, can contribute to water pollution through the discharge of treated water, which may contain harmful substances.
DOI: 10.6084/m9.figshare.3521393.v1
title: Appendix A. Supplemental site information, methods for plot establishment and methods flower measurement.

description: Supplemental site information, methods for plot establishment and methods flower measurement.
DOI: 10.17632/4dyfj6mdw3
title: Expression matrix of transcriptomics

description: Transcriptomics data are intended to prompt research on the relevant mechanism and to use that mechanism as a basis for further experiments. Through the transcriptomics of the TLR2/MAPK/NF-κB pathway, how Ustiloxins leads to kidney injury through the TLR2/MAPK/NF-κB pathway is explained step by step.
DOI: 10.17632/cmr37pfw3t
title: Expression of fungal and host markers in a relevant mouse model of dermatophytosis

description: Dermatophytoses are the most common skin mycoses affecting humans and animals worldwide. The increasing resistance of dermatophytes to antifungal agents is creating a serious public health problem, and a better understanding of the pathogenesis of dermatophytosis is essential. As dermatophytes can switch from a saprophytic to a parasitic lifestyle by reprogramming gene expression, as demonstrated for Trichophyton benhamiae in guinea pigs, reliable animal models are still needed. Our aim was to develop a relevant mouse model of T. benhamiae dermatophytosis, to study host-fungus relationship. The use of a specific standardized fungal mixture of spores, germ tubes and mycelium as inoculum induced a natural-like superficial infection in mice, with hyphae invading the epidermis and inflammatory epidermal and dermal infiltration of polymorphonuclear cells. The severity and persistence of lesions, together with optimization of the extraction method for murine and fungal RNA recovery, enabled the expression of infection markers to be assessed. While infection induces early overexpression of mouse-specific pro-inflammatory genes, several fungal genes are also overexpressed, including those encoding certain subtilisins (SUB) previously reported as potential virulence factors, such as SUB3 and SUB6. Our mouse model therefore appears to be a good analytical tool for studying the pathophysiology of acute dermatophytoses.
DOI: 10.17632/gyr6c4nbsc
title: CSIDA

description: The dataset is for Wi-Fi-based human activity recognition. The dataset is comprised of six experiments performed by 5 different subjects in five different locations in two different indoor environments. Each subject performed 20 trials for each of the experiments which makes the overall number of recorded trials in the dataset equals to 3000 trials (6 experiments × 5 subjects × 5 locations × 20 times). To record the data, we used the channel state information (CSI) tool to capture the exchanged Wi-Fi packets between a Wi-Fi transmitter and receiver. The utilized transmitter and receiver are retrofitted with the Intel 5300 network interface card which enabled us to capture the CSI values that are contained in the recorded transmissions. The related articles is  "WiFi-based Cross-Domain Gesture Recognition via Modified Prototypical Networks" , whose url is  https://github.com/Zhang-xie/WiGr. For storage space reasons, the data is uploaded in two parts. The first part includes the final data and its label, and the second part includes the raw data.

The dataset folder contained seven sub-directories, which were the original data, the data with random phase offset removed, the data with noise removed, the action gesture label, the environment label, the location label, and the person label. This data was stored in zarr data format and needed to be read using python's zarr library. Zarr saved data in blocks. Frankly speaking, it was to divide a block of data into sub-blocks of the same size. Each sub-block was saved into a file named *.. The advantage of such processing was that it was very friendly to large scale data.
DOI: 10.17632/y38prf7hmc
title: Dynamics of granular beds undergoing impact and cratering

description: These files contain an example of the setup required to perform and analyze a numerical simulation  of the impact of a projectile on a granular bed. The simulation is carried out using the open-source free DEM software LIGGGHTS. The simulations were tested and the results agreed quite well with the models and experiments from the literature. The dataset contains an example case of the initialization, which requires several steps, and from the main simulation. We also share an Octave code for post-processing the results.