cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/389scnndjy.1
title: Area characteristics: Great Britain 1971 to 2011

description: Measures of area deprivation (Townsend) and population density for each decennial census 1971 to 2011 The overall geographical coverage is Great Britain (England, Wales and Scotland). The geographical boundary definitions are those used for the dissemination of the 2011 Census. Data for the censuses 1971 to 2001 have been converted from the geography of their original release to the 2011 boundaries. The data are available in Excel files at three geographic scales: a) Lower Super Output Areas (LSOAs) for England & Wales and Data Zones in Scotland (a local level geography); b) Medium Super Output Areas (MSOAs) for England & Wales and Intermediate areas in Scotland; c) Local Authority Districts in England, Wales and Scotland (the geography of local government areas referred to using a variety of definitions). For each census year 1971 to 2011: Each file has a worksheet with variables on total Persons, hectares, population density as continuous (persons per hectares) and categorical (assumed to be urban to rural types); a worksheet with the four input variables which represent dimensions of deprivation (%s of unemployment, non-home ownership, no access to car, household overcrowding); and a worksheet with Townsend deprivation scores and population weighted quintiles (fifths of the distribution). Since the geography is consistent over time and the deprivation is calculated to measure change, for any area in GB, if the index score changes then this can be interpreted as improving or worsening circumstances: More positive = More deprived; More negative = Less deprived. A change in quintile can be interpreted similarly. These data are all available compatible with GIS 'vector' boundaries. Users wanting equivalent data in GIS 'raster' format should see: https://www.liverpool.ac.uk/geography-and-planning/research/popchange/introduction/ and https://popchange.liverpool.ac.uk/
DOI: 10.17632/mcr7vd5f5d.1
title: Music therapy tele-intervention for Chinese college students with anxiety and depression during COVID-19 pandemic: A pilot, randomized controlled study

description: This is a pilot, randomized controlled trial study aimed to examine the effect of music therapy tele-intervention in reducing anxiety and depression for college students under the COVID-19 pandemic. Sixteen Chinese college students were recruited and randomly assigned to music therapy relaxation group (MT), support group and control group. Both MT and support groups received four 60-minute sessions over the period of two weeks. The Chinese version of the Beck Anxiety Inventory scale (BAI-C) and the Chinese version of the Beck Depression Inventory-13 scale (BDI-13) were used to assess the state of anxiety and depression. A follow-up assessment was taken two weeks after the post-test. Results indicated significant decrease in symptoms of depression and anxiety for participants in the MT group. The findings suggested the sustained effectiveness of the music therapy intervention, as evidenced by the continued reduction of symptoms two weeks after the intervention. The considerations of applying music therapy tele-intervention with Chinese college students during the pandemic were discussed.
DOI: 10.17632/w3gmh8wrgj.1
title: To study the efficacy of Homoeopathic management in cases of Frontal sinusitis.

description: 30 cases of frontal sinusitis were studied satisfying the case definition. Inclusion, and exclusion criteria were laid down. Minimum 30 cases satisfying the case definition, inclusion and exclusion criteria will be studied. Help will take from various resources such as homoeopathic physicians, senior consultant, physician from allied science, research journals will be studied altogether. The time duration will be 1 year. Follow up will differ from patient to patient. Effectiveness of homoeopathic software to study the cases. After assessment of all the cases according to Homoeopathic principle done the totality and select the final remedy. Observation according to the age group, sex, predisposing factors and efficacy of Homoeopathic medicines analysed in all cases. Homoeopathic medicines kalis are more indicated for inflmmation of sinuses Kali bichrom is specific for frontal sinusitis. In chronic frontal sinusitis kali iodatum is being more prominent, Pulsatilla is indicated more commonly in relieving the acute frontal sinusitis. Homeopathic medicines are often effective in treating the acute symptoms of sinusitis, although professional constitutional care is usually necessary to cure chronic sinusitis.
DOI: 10.17632/d2x8rw83jb.1
title: MD2D: A python module for accurate determination of diffusion coefficient from molecular dynamics

description: Self-diffusion coefficient can be derived from molecular dynamics (MD) simulations by fitting the mean squared displacement (MSD) into the Einstein relation. However, the finite system size, nonfulfillment of the Brownian motion, and finite simulation time may bring in significant uncertainties that need to be estimated. We present a python module to facilitate the accurate determination of self-diffusion coefficient from the Einstein relation. We show that the ballistic stage can be clearly recognized and excluded to improve the accuracy and efficiency of self-diffusion coefficient calculation. The correct self-diffusion coefficient and its uncertainty can be conveniently obtained by taking the ensemble average of diffusion coefficients calculated at different time intervals. At the meantime, the module calculates viscosity that can correct the MD-derived self-diffusion coefficient to the thermodynamic limit.
DOI: 10.17632/3psdhyb99p.2
title: Investigating the Aesthetic Appraisal of Computer Based on the Unified Model of Aesthetic (UMA)

description: This study investigates aesthetic responses to product design through the Unified Model of Aesthetics (UMA), focusing on six key variables: typicality, novelty, unity, variety, connectedness, and autonomy. The research examines how age and gender influence aesthetic preferences. A sample of 234 participants from China (46.4% female, 53.4% male) assessed ten black-and-white images of computer monitors using a seven-point Likert scale in an online questionnaire. Results indicate positive linear relationships between typicality and novelty, unity and variety, and connectedness and autonomy, suggesting that these variables function independently in shaping aesthetic preferences for design products. Study 1 demonstrates a high preference for designs rated highly on typicality, aligning with the MAYA principle (Most Advanced Yet Acceptable), which posits that the most aesthetically pleasing designs are novel and recognizable. Study 2 highlights a preference for designs that balance unity and variety, supporting the idea that "unity-in-variety" enhances aesthetic appeal. Study 3 reveals that connectedness significantly contributes to aesthetic preference, supporting the idea that "Autonomous, yet Connected". Age and gender influence these preferences. Males show a growing preference for typicality and unity as they age, while females maintain consistent but slightly lower preferences. Both genders value novelty and variety equally as they age. Socially, males' preferences for connectedness and autonomy intensify with age, while females' connectedness preferences remain stable. Overall, male rated the six aesthetic variables higher than females, suggesting possible perceptual or cultural differences in aesthetic preferences.
DOI: 10.17632/f7ktcckks2.1
title: Active_BrownianParticle_DataSet

description: These datasets contain 2D simulation data for Brownian and Active Brownian ( with rotational diffusion) for ~ 3000 particles.
DOI: 10.17632/y5stjsnp8s.2
title: HornBase - A Car Horns Dataset

description: To provide data for machine learning models capable of classifying car horns in a traffic environment, we created HornBase, a dataset comprising 1080 audio files of exactly one-second duration each, manually labeled and balanced into two classes: horn and not horn. The audio excerpts were collected in ten specific situational scenarios in which the audio signals can be received in the car where the horn will be analyzed, as well as three different horn styles: a short honk, a long one, and an intermittent sequence of three consecutive short honks. For each possible audio segment, three temporal windows are cut, with the first containing the initial half of a horn, the second containing the entire horn, and the third containing the final half of a horn.
DOI: 10.17632/mzsctb3fzn.1
title: Ego Relevance and Deception: Senders (Burro & Castagnetti)

description: Code and data necessary to replicate "Will I tell you that you are smart (dumb)? Deceiving Others about their IQ or about a Random Draw"
DOI: 10.17632/w24hc4vy7t.1
title: Flooding-Based-DDoS-Muleticlass-Dataset

description: The dataset was extracted and labeled using our developed tool using the Python programming and scapy module. The tool was took a raw network data in a PCAP format and transform it into machine learning suitable format such as the CSV format. We used the dataset for the purpose of Flooding-based DDoS multiclass attack detection which includes SYN Flooding, ACK Flooding, HTTP Flooding, and UDP flooding attack types.
DOI: 10.17632/j6cgcfys77.1
title: Handwritten Baybayin Symbols Dataset

description: The Baybayin or “Alibata” became existing around year 1200’s. Baybayin was also approved in the house of congress in the Philippines to be a national writing system of the Philippines with a House bill No. of 1022. The extinct symbols are classified as syllabaries in the study of writing systems. The Philippine syllabaries have 17 signs representing 14 consonants which composed of ba, da, ka, ga, la, ha, ma, nga, na, sa, pa, wa, ya, ta, and 3 standalone vowels composes of a, i, and u at some late point the Mangyan’s added ra. The dataset contains 36,000 handwritten baybayin symbols data set.
DOI: 10.17632/pp6hmfxgfg.1
title: Ontology Competency Questions to SPARQL-OWL Queries Translations

description: This data article reports on a new set of 234 competency questions for ontology development and their formalisation into a set of 131 SPARQL-OWL queries. This is the largest set of competency questions with their linked queries to date, covering several ontologies of different type in different subject domains developed by different groups of question authors and ontology developers. The dataset is focused specifically on the ontology TBox (terminological part). The dataset may serve as a manually created gold standard for testing and benchmarking, research into competency questions and querying ontologies, and tool development. Its analysis is presented in “Analysis of Ontology Competency Questions and their formalizations in SPARQL-OWL" (doi: 10.1016/j.websem.2019.100534).
DOI: 10.17632/rmxkcgxbr5.1
title: Rohita Joshi

description: Background- Sports is a wide field which requires intense practice to perform well; moreover athletes are always goal-oriented and put a lot of effort to win. This pressure and emotional distress lead to pre-competitive anxiety which affect their cognitive performance. Purpose- The prime aim of this study is to evaluate the effect of tDCS on pre-competitive anxiety and cognitive performance in collegiate athletes. Method/Design- The experimental study is randomized controlled trial, two group and single centered study. Anxiety and cognitive levels will be evaluated before and after intervention using Beck Anxiety Inventory (BAI) scales, stroop color test, digit symbol substitute test and biofeedback analysis (EMG). The experimental group and control group received tDCS for 10 consecutive days. Follow up assessment will be performance using post value of anxiety and cognitive scales and also by biofeedback analysis. Results- The within group analysis of experiment group revealed P &lt; 0.05 of beck anxiety inventory test, stroop test, DSST-test and EMG biofeedback. There is significant difference in between group analysis, the post value of Stroop test, DSST test and EMG biofeedback are less than0.05. Conclusion- We concluded that the tDCS show positive effect on pre-competitive anxiety and cognitive performance of collegiate athletes. Anxiety and cognition can be controlled by using an advance mode of technique i.e., transcranial direct current stimulation (tDCS) it is the safe neurostimulation process used to improve athletic performance.
DOI: 10.17632/nddrc4wkcc.1
title: Systemic_risk_ports_datasets

description: This data + Jupyter Notebook allows one to reproduce the results + plots of the paper "Verschuur, Koks and Hall (2023), Systemic risks from climate-related disruptions at ports, Nature Climate Change". It includes:
-Jupyter notebook to read data, perform analysis, reproduce plots in paper, and perform additional analysis for specific countries and ports 
-Input data to perform analysis
-Output data of analysis that can be used without re-running the notebook

In general all data are structured according to the systemic risks analysed: maritime transport network, maritime trade network, global supply chain network. 

For any questions or comments: jasper.verschuur@eci.ox.ac.uk
DOI: 10.15468/dl.2equrh
title: Occurrence Download

description: A dataset containing 708 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platymiscium pinnatum (Jacq.) Dugand",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 708 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009279-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n9xzfdxymt.1
title: K isotope compositions (‰) of minerals in granitic rocks

description: K isotope compositions (‰) of plagioclase (Pl), K-feldspar (Kfs), amphibole (Amp), and biotite (Bt) from the Tagong granitic pluton as well as geostandards during analysis.
DOI: 10.17632/482j99rfpz.3
title: Advancements in Agricultural Robots for Specialty Crops: A Comprehensive Review of Innovations, Challenges, and Prospects

description: The emergence of robot technology presents opportunity to revolutionize specialty crop production, offering crucial support across various activities such as planting, supporting general traits, and harvesting. These robots play a pivotal role in keeping stakeholders up-to-date of developments in their production fields, while providing them the capability to automate laborious tasks. Then, to elucidate the advancements in this domain, we present a comprehensive review covering from 1988 to 2023, meticulously examining the state-of-the-art in robots for specialty crops. A rigorous search strategy was formulated, leveraging the Scopus® and Web of ScienceTM databases to ensure a thorough investigation. Careful selection of keywords such as "robot" and "specialty crops" was employed to enhance comprehension and comprehensiveness. Only peer-reviewed papers were considered, resulting in the inclusion of 706 papers. Each paper was meticulous evaluated by a panel of reviewers who evaluated various aspects including titles, abstracts, keywords, methods, conclusions, and declarations. Consistency and eligibility were predominant in determining which papers met the stringent inclusion criteria. Any discrepancies or disagreements were resolved through rigorous consensus-building discussions among the reviewers. The primary aim of this review is to contribute scientifically to the understanding of robots for specialty crops within the research landscape, elucidating current limitations and suggesting opportunities for future investigations. Finally, our insights serve to unravel the intricate dynamics of technological advancements within the field, while also supporting the cause of cultivating a more sustainable and resilient agricultural landscape for specialty crops.
DOI: 10.17632/85gy8ct4yn.3
title: 2019 Thames River (Canada) Cyanobacterial Bloom

description: In late September, 2019 a cyanobacterial bloom was observed in the lower reaches of the Thames River, a 273 km priority tributary of the Lake Erie watershed, as identified in Annex 4 of the Great Lakes Water Quality Agreement. The river flows into Lake St. Clair in southwestern Ontario with land use in the watershed dominated by row crop agriculture. This dataset includes biological and physico-chemical data acquired while sampling before, and during the bloom.
DOI: 10.17632/htk59pp5wx.2
title: Run-to-failure vibration dataset of self-aligning double-row ball bearings - PART 1

description: Data sourced from actual operational systems constitutes a pivotal asset for scholarly investigations in the domain of machine diagnostics and prognostics. The exigency for such data has witnessed a notable surge in recent times, primarily propelled by the burgeoning interest in prognostic methodologies and the advancement of artificial intelligence (AI) technologies tailored for predictive maintenance applications. When harnessed for fault detection and prognostic endeavors, data must inherently possess the capacity to furnish insights into the degradation phenomena inherent to machinery. Moreover, a fundamental aim of prognostics entails the anticipation of the remaining useful life (RUL), a task necessitating substantial datasets for the application of data-driven techniques or the validation of physics-based models.

Bearings, being subjected to a diverse spectrum of loads and fatigue stresses, carry the potential for catastrophic failure, thereby impacting the operational integrity of entire machinery systems or industrial plants. 

The Department of Engineering at the University of Ferrara has undertaken an extensive experimental campaign aimed at documenting the temporal evolution of vibration signals over the lifecycle of self-aligning double row rolling element bearings. Six accelerated run-to-failure trials were conducted, during which acceleration signals were continuously captured utilizing a uniaxial accelerometer. Concurrently, a radial load was imposed on the bearing housing and regulated via a load cell. Ensuring consistency, the shaft speed was maintained at a constant level, facilitated by an electric motor actuated by an inverter.

The resultant dataset encapsulates acceleration signals along the radial axis spanning the entirety of the experimental tests, thereby offering a valuable resource for both scholarly inquiry and industrial applications alike.

This dataset provides the Part 1 of data collected during the experimental campaign.
Data is provided in .mat format and each file contains two variables: the acceleration signal in radial direction and the sampling frequency.
DOI: 10.17632/cpnbb3wxk3.1
title: CNN - Road Crack data 

description: This data is in form of images and used for identifying cracks in images of roads by Convolutional Neuro Network (CNN).
DOI: 10.17632/wmhctcrt5v.1
title: Heart Attack Dataset

description: The heart attack datasets were collected at Zheen hospital in Erbil, Iraq, from January 2019 to May 2019. The attributes of this dataset are: age, gender, heart rate, systolic blood pressure, diastolic blood pressure, blood sugar, ck-mb and troponin with negative or positive output. According to the provided information, the medical dataset classifies either heart attack or none. The gender column in the data is normalized: the male is set to 1 and the female to 0. The glucose column is set to 1 if it is > 120; otherwise, 0. As for the output, positive is set to 1 and negative to 0.
DOI: 10.17632/kc77435dkb.1
title: Data for: Estimating volume of large slow-moving deep-seated landslides in northern Canada from DInSAR-derived 2D and constrained 3D deformation rates

description: Horizontal east-west deformation rates during 2017-2022 computed from Sentinel-1 data using MSBAS software for two regions in Canada where active deformation (large slow-moving landslides) is observed. For additional information, please refer to the original manuscript https://doi.org/10.1016/j.rse.2024.114049.
DOI: 10.17632/47vtp22vs7.1
title: Data for: CubeSatNet: Ultralight Convolutional Neural Network Designed for On-orbit Binary Image Classification on a 1U CubeSat

description: CubeSat Training and Test Dataset used for the training, validation and testing of ultralight CubeSatNet CNN model designed for 1U CubeSat
DOI: 10.17632/fvjf4zyxm9.2
title: Global Manufacturing Employment Database (GMED)

description: This dataset contains the share of employment in manufacturing for 126 countries from the 1950s to 2022. The data provides a truly global and historical perspective on the importance of manufacturing and potential deindustrialisation trends. Data is combined from the ILOSTAT database and the GGDC-10 sector database, 2014 release. The database contains a total of 126 countries; 4,810 observations, with an average of 38 observations per country, a minimum of 5 and a maximum of 75 observations. In a broad sense, the data covers 9 main regions. 30% of the dataset consists of European economies, 20% of Asia, 20% of Latin America and 15% of Africa, with the remainder being China, North America, Australia and New Zealand, island economies and other economies.
DOI: 10.17632/wsy7x9fgxz.1
title: Replication package for 'A Macroeconomic Perspective on Taxing Multinational Enterprises'

description: Replication package for our paper "A Macroeconomic Perspective on Taxing Multinational Enterprises" published in the Journal of International Economics.
DOI: 10.17632/td6j468vfp.1
title: Effect of Charismatic Signaling in Social Media Settings: Evidence from TED and Twitter (Data)

description: Effect of Charismatic Signaling in Social Media Settings: Evidence from TED and Twitter Abstract Given the challenges societies face on topics that are not localized (e.g., COVID-19 pandemic, global warming), informal leadership exercised in social media currently characterizes a large part of political and economic communication. Scholars have theorized that charismatic signaling is effective in informal leadership settings; yet empirical evidence remains scarce in understanding a ubiquitous phenomenon that marks our times and plays an important role in shaping public opinion. In this paper, we used two unique data sets extracted from social media to investigate the success of charismatic signaling in informal leadership settings. Social media offers us a standardized medium as well as a natural environment to test our predictions. Using a sample of TED talks and tweets, we coded for objective markers of charisma and found that using more verbal charismatic signals predicted (a) higher views for TED talks as well as higher ratings for the extent to which the talk was found to be inspiring (beyond attractiveness and nonverbal behavior), and (b) more retweets. We discuss the implications of such results for both theory and practice in the media age.