cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5m9nj84xpf.1
title: MATLAB code for Organic Rankine Cycle

description: This is the MATLAB code used to analyze system metrics associated with a lab-scale organic Rankine cycle for ultra-low waste heat recovery. Full information on the project is in the PhD dissertation by Sebastian Araya, Villanova University, 2019.
DOI: 10.17632/mpgsh83xnx.1
title: Negative Scheidungsvoraussetzungen im polnischen Recht

description: Publikacja Piotra Sobańskiego "Negative Scheidungsvoraussetzungen im polnischen Recht" (pl. "Negatywne przesłanki rozwodu w polskim prawie") dotyczy analizy i opisu przesłanek, które mogą uniemożliwić rozwód w polskim systemie prawnym. Autor, badający polskie prawo małżeńskie, w publikacji omawia negatywne czynniki, które mogą mieć wpływ na możliwość uzyskania rozwodu. Temat ten jest istotny, ponieważ polskie prawo małżeńskie określa pewne warunki, które muszą być spełnione, aby małżeństwo zostało rozwiązane przez rozwód. Publikacja analizuje te warunki, wyjaśniając, jakie są ich konsekwencje i jak mogą wpływać na procedurę rozwodową. Jest to ważne źródło informacji dla prawników i osób zainteresowanych tematem rozwodów w Polsce.
DOI: 10.17632/y5bnz99t7b.1
title: Data-iScience

description:  Aggravated hepatic fibrosis induced by phenylalanine and tyrosine was ameliorated by chitooligosaccharides supplementation
DOI: 10.17632/3bxrpbjzyg.1
title: How to Apply the Phase Field Method to Model Radiation Damage

description: csv files used to create all new plots in the paper
DOI: 10.17632/hzjrks365b.1
title: Representative TMS-evoked potentials

description: Pre-processed single-trial TEPs (electroencephalographic potentials evoked by transcranial magnetic stimulation) recorded in a representative healthy subject during wakefulness. 4 Shared files: TEP_BA6.mat, TEP_BA4.mat, TEP_BA7.mat and TEP_BA19.mat Suffix indicates the Brodmann's area corresponding to stimulated target. The following intensities expressed in terms of the maximal stimulator output were applied: 70% for BA6, 47% for BA4, 67% for BA7 and 52% for BA19. Each file contains the following variables: Y: TEP data matrix with dimension channels x time x trials times: time vector with dimension 1 x time samples srate: sampling rate in Hz chlocs: structure containing information about the EEG channels' numbers, names, and locations badch: vector indicating the EEG channels' numbers to be rejected because of bad data quality Shared data were pre-processed by applying the following standard procedure: 1) high-pass filtering of continuous EEG recordings at 1 Hz; 2) epoching with a time window of [-800 +800] ms around TMS pulses; 3) rejection of artifact-contaminated trials and channels by visual inspection; 4) re-referencing to the average reference; 5) Independent Component Analysis to reduce ocular and muscular artifacts (as in Casarotto et al., Ann Neurol 2016); 6) low-pass filtering at 45 Hz. Pre-processing summary: 1) channel FT10 was rejected in all sessions; 2) the number of averaged trials out of the total number of recorded trials was a. 89/100 for BA6; b. 96/101 for BA4; c. 102/147 for BA7; d. 117/130 for BA19.
DOI: 10.17632/fcj2hmz5kb.3
title: ContextAct @ A4H Dataset

description: ContextAct@A4H is a real-life dataset of Activities of Daily Living. ContextAct@A4H features rich, real-life daily living dataset collected in the Amiqual4Home smart apartment. It contains data from sensors in the apartment, collected while a person was living there during two periods: one in June and one in November (summer and fall respectively). Example sensor include: door sensors, electric consumption sensors (per device), light on/off, lighting levels per room, in-door location, There are a total of 9 labeled activity classes and 397 activity instances. The README file contains more details. The experiment for collecting ContextAct@A4H was performed in the frame of a collaboration between LIG, Amiqual4Home and Universidad de Los Andes (Colombia). The main contribution of this dataset is the inclusion of context variables (weather, temperature, noise, humidity, the existence of visitors, etc) and the high number of properties measured in the apartment. The dataset was presented in the CONTEXT Conference. Its first use is to perform context-aware routine learning in the frame of Ambient Assisted Living research. We envision many other uses for this dataset, including the following: * To test different sensor configurations and compare which gives best classification results for activity recognition or to test which sensors suit best your application use case, finding a trade-off between cost and accuracy. * To evaluate reliability in sensor networks since some properties have been measured using different sensors. * For energy consumption analysis and prediction using energy-related variables. * For evaluating context-aware services. For example, a context-aware music recommendation using music information available in the dataset. * For routine learning and analysis since the dataset is a real-life routine. Please contact Paula Lago for any questions Paula Lago pa.lago52@uniandes.edu.co
DOI: 10.17632/mnn5smm866.1
title: Novel one-part fly ash alkali-activated cements for ambient applications dataset

description: This is the dataset for the article 'Novel one-part fly ash alkali-activated cements for ambient applications' by Maxim Kovtun and Oscar Tarique. It contains data for design of experiments method; compressive strength at 3, 7 and 28 days; statistical analysis; scanning electron microscopy (SEM) images; raw FTIR and raw XRD.
DOI: 10.17632/gb6nzcmk4j.1
title: Dataset of "Effect of different volumes of exercise on skin temperature responses over the following 24 hours"

description: his data corresponds to the study published in Journal of Thermal Biology: "Effect of different volumes of exercise on skin temperature responses over the following 24 hours"
The objective of the study was to determine whether skin temperature is influenced by different workloads and the time course of temperature measurements over the following 24 hours. 24 trained male military were assigned to one of three groups: GC group (n=8) serving as control not performing exercises, GE group (n=8) performing a simulated military combat protocol in an exercise track with different obstacles but designed not to elicit muscle damage, and the GEMD group (n=8) performing the simulated military combat protocol plus 5 sets of 20 drop jumps, with 10-sec between repetitions and with 2-min of rest between sets aiming to induce muscle damage. Skin temperature was measured using infrared thermography before exercise (Pre) and 4 (Post4h), 8 (Post8h) and 24h (Post24h) post-exercise. Perception of pain (DOMS) was evaluated Pre, Post24h, and Post48h, and countermovement jump height was evaluated at Pre and Post24h.
DOI: 10.17632/nvkcfnkh47.2
title: Curated-Processed-Reannotated Turkish e-commerce sentimet analysis dataset

description: The dataset was compiled from publicly available sources, including Hugging Face, GitHub, and Kaggle. To ensure data quality, we performed preprocessing steps such as deduplication, removal of non-Turkish entries, and exclusion of short reviews (fewer than three words). Python and the pandas library were used for data cleaning and formatting.
For sentiment labeling, we used ChatGPT4-o-mini in a zero-shot approach, batch-processing approximately 100 reviews per request. We chose zero-shot labeling after observing that providing additional instructions led to a decline in labeling accuracy with ChatGPT4-o-mini. The prompt instructed the model to classify each review’s sentiment as Positive, Negative, or Neutral, without any specific examples or prior information. The prompt format was:
• System Message: "You are a sentiment analysis assistant."
• User Message: "Please analyze the sentiment of the following review dictionary and return the result in the format 'id,label' where label should be one of these: Positive, Negative, or Neutral."
This zero-shot approach resulted in high consistency, which we validated by comparing the model's output with human annotations, observing a strong correlation in sentiment labeling accuracy. This ensured reliable labeling across the entire dataset.
DOI: 10.17632/fcm5cr2r94.1
title: Crop classification

description: Data used for experiments in Conţiu, Ştefan, and Adrian Groza. "Improving remote sensing crop classification by argumentation-based conflict resolution in ensemble learning." Expert Systems with Applications 64 (2016): 269-286.
DOI: 10.17632/pvfp5zdswp.1
title: Data for: Crime Prevention in Urban Spaces through Environmental Design: A New Critical UK Perspective
DOI: 10.17632/jfypy7x7nb.1
title: Hindi translation, content validation and test re-test reliability of Generalized Anxiety Disorder-7 (GAD-7) among university students

description: The Generalized Anxiety Disorder (GAD-7) scale, which has been translated for use with the Indian population suffering from Generalized Anxiety Disorder, is a valid and reliable measure.
DOI: 10.17632/pdj47k3c8h.1
title: Investigación- Acción y Curriculum

description: Se presenta la reseña del libro Investigación- Acción y Curriculum, de la editorial Morata, escrito por James mcKERNAN.

A través de tres partes divididas en once capítulos, este investigador de la educación le ofrece al lector herramientas desde la investigación-acción para el desarrollo reflexivo de su quehacer. En la primera parte plantea los antecedentes filosóficos e históricos de
la investigación-acción, fija el contexto para el desarrollo de esta metodología y refiere estrategias para mejorar el currículo desde
el papel del maestro como investigador y profesional, ofreciendo finalmente criterios para un código profesional de ética. En la
segunda parte, plantea más de veintitrés técnicas útiles, que van desde la observación hasta las historias de vida y el análisis del discurso; culmina el autor este segundo momento de su elaboración con un debate sobre las técnicas de investigación crítico-
reflexivas y evaluativas, Ya finalizando el texto, en la tercera parte responde a diversos cuestionamientos ligados a la enseñanza de esta metodología, al análisis de los datos y a la posibilidad del establecimiento de redes o comunidades de investigadores de la
acción, ofreciendo consejos estratégicos para su mantenimiento.
DOI: 10.17632/khp89v582v.2
title: Data for: Amorphous salts formed from rapid dehydration of multicomponent chloride and ferric sulfate brines: Implications for Mars

description: These are the XRD, ATR, and VNIR data associated with the research entitled: "Amorphous salts formed from rapid dehydration of multicomponent chloride and ferric sulfate brines: Implications for Mars” by Elizabeth Sklute, Deanne Rogers, Jason Gregerson, Heidi Jensen, Richard Reeder, and Darby Dyar. These are the raw data files for all experiments from the rapid dehydration in both low relative humidity and under vacuum of mixed chloride-sulfate brines studied in this article.
DOI: 10.17632/k6djr385tf.1
title: Apoptotic vesicles rebalance glycolytic metabolism to boost anti-PD-1 therapy for liver cancer

description: TCGA datasets of 371 hepatocellular carcinoma analysis
DOI: 10.17632/6c4bzj9nzr.1
title: Schistosoma haematobium protein array features

description: Information on the Schistosoma haematobium antigen features that were printed on a proteome array for subsequent probing with serum and urine antibodies.
DOI: 10.17632/xr6srd5mk7.1
title: Determinación de la relación causal entre el pH ligeramente acido del agua para el cebado del mate y el lavado rápido de la yerba mate.

description: En un principio la yerba mate sufre algunos cambios fisicoquímicos que lleva a que la yerba pierda sus propiedades organolépticas”, lo que desencadenaría el lavado de la misma. Es inevitable que la yerba mate se lave por el uso, en ocasiones la yerba mate se lava más rápido que otras veces, se plantearon como hipótesis la probable relación causal entre el pH del agua y el lavado rápido de la yerba mate.
Se considera como mate lavado aquel cuya yerba pierde el sabor y precipita. Por otro lado, se considera lavado rápido aquel mate que alcanza esa condición a la 8va cebada como máximo y mate que se lava normalmente a la 9na cebada en adelante.
Durante la investigación se prepararon 882 mates y cebaron un total de 9,702 mates.
Los datos se organizaron en tablas para poder analizarlos mejor, se observó una mayor frecuencia de mates lavados rápidamente al utilizar agua con pH 6.5 y una menor frecuencia utilizando agua con pH 8.5. 
No encontramos bibliografía sobre como el pH del agua pueda afectar las propiedades organolépticas de la yerba y que influencie en el lavado rápido de la yerba mate, por lo que creemos que esta investigación sienta un precedente para futuras investigaciones.
Nuestros resultados sugieren que el pH influye significativamente en el lavado rápido de la yerba mate, mientras más bajo sea el pH permitido del agua para consumo, la yerba se lava más rápido independientemente de la temperatura utilizada.
Utilizando la prueba de Chi-cuadrado de Pearson se demostró la relación causal entre el lavado rápido de la yerba y el pH del agua. Por otro lado, la prueba t-student demostró que la yerba se lava más rápido utilizando agua con pH ligeramente ácido.
DOI: 10.17632/3d6wy4tynd.1
title: PIHASI, PIDASI, and IGA Scales

description: Scales used in the JAAD publication "PIDASI and PIHASI: Scoring Tools for Assessment of Post-Inflammatory Hyperpigmentation" Novel PIHASI scale, full PIDASI scale, industry standard IGA scale.
DOI: 10.17632/jxgxg7x6r3.1
title: Data for: Distributed password cracking with BOINC and hashcat

description: Experimental results of distributed dictionary attack using Fitcrack and Hashtopolis + used passwords and hashes Experimental results of distributed brute-force attack using Fitcrack and Hashtopolis + used passwords and hashes Benchmarking results using Hashcat in comparison with real attack speeds on different GPUs
DOI: 10.17632/hsc4k7vtfp.1
title: HGS and NCDs elderly Malaysia

description: Handgrip strength and its association with non-communicable diseases and their risk factors among elderly individuals in Malaysia
DOI: 10.17632/3gybttvj57.1
title: Awareness of insomnia on physical and mental health of medical student: An online cross-sectional survey 

description: A sedentary lifestyle and sleep deprivation may result from the particular academic environment and time spent learning. Students studying medicine are more likely to experience the signs of sleep disturbances
DOI: 10.17632/v3dwkz348m
title: Arithmetic computation under audio-visual channel correlated with visual perception, but not auditory perception

description: The current study aims to investigate the role of visual perception in auditory-presented arithmetic, to determine whether the predictive role of visual form perception—a critical factor in arithmetic computation—is influenced by the perceptual channel. 
crtrt=Choice reaction time（RT)
mradjusted = mental rotation
Ravenadjusted = Nonverbal matrix reasoning
figureacc = Rapid figure matching (acc)
figurert = Rapid figure matching (RT)
voiceacc = Rapid tone matching (acc)
voicert = Rapid tone matching (RT)
visariadjusted = visual arithmetic 
audariadjusted = auditory arithmetic
DOI: 10.17632/rwbs7645hg.1
title: EMG data of the Myo Armband

description: This dataset provides EMG data generated by the Myo Armband in response to eight hand gestures. This dataset contains 8 files. Each file consists of 50 readings of the Myo armband for a defined gesture. Each reading includes 100 samples per sensor. The EMG signal is sampled at frequency of 50 samples per second.
DOI: 10.17632/5z37z85jck.1
title: Subsistence Retail Consumer Data

description: The purpose of the data is to model the purchase behavior of the subsistence consumer within the retail environment in one of the largest townships in South Africa. The data was collected using a self-administered questionnaire from a sample of 281 consumers. The Partial Least Squares Structural Equation Modelling (PLS-SEM) approach was adopted using the SmartPLS 3 software to analyze the data. The insights from the dataset identify convenience, price sensitivity, perceived product quality, customer trust, and perceived value as factors that stimulate purchase behavior. Furthermore, perceived value only mediates the relationship between perceived product quality and purchase intention. Researchers could position customer trust as a dependent variable to unearth more valuable insights. Additionally, the segment in question is also known to be price-sensitive. It would be intriguing to find out the role of price sensitivity as a moderator.
DOI: 10.17632/g547vfzybp.2
title: GHLY_Race_Prediction

description: This is the replication folder for the paper "Regulatory Arbitrage or Random Errors? Implications of Race Prediction Algorithms in Fair Lending Analysis".
DOI: 10.17632/pbb76sbbrg.1
title: Wireless Sensor Network Based Drinking-Water Quality Monitoring and Notification System Dataset

description: This project presents the collected experimental data for drinking-water quality monitoring which was conducted in ten experiments by using five different common sources of water contaminants namely soil, chlorine, salt, washing powder, vinegar and their combination. The data were collected indoors at room temperature during the day for several days using sensors that measure pH, turbidity, flow rate, and conductivity in water. The water consumption risk (CR) was calculated as deviation based on the water quality parameters standards proposed by the World Health Organization (WHO) and the South African Department of Water Affairs (DWA), with respect to the sensor measurement readings obtained. While the error measurements were calculated based on the expected parameter measurement per conducted experiment and repeated for 26 measurements. Pure tap water was the benchmark of water safe for human consumption. The first five experiments were performed by introducing each contaminant into the water and thereafter, two contaminants in the sixth experiment and their additions until all different contaminants were experimented at once in the last experiment. The first being data for pure tap water and the rest being data for contaminated water using the different contaminants and their additions until all different contaminants were experimented at once.
DOI: 10.17632/d6ywwhtnxf.1
title: Examining the Impact of the Investigated-Based Multiple Representation (IBMR) Learning Model on Mechanics Problem-Solving among Engineering Students at a Selected Public Higher Education College in Rwanda

description: The Investigative Based Multiple Representation (IBMR) Learning Model is a novel way to study mechanics in engineering education that emphasizes inquiry-based learning and different representations. This approach deals with the constraints of traditional teaching approaches that rely on memorization and formulaic problem-solving, resulting in a thorough comprehension of complicated physical concepts. This study seeks to investigate the impact of the IBMR learning paradigm on mechanics problem-solving abilities at a Rwandan public higher education college. This study was designed as a quasi-experiment with pre-test and post-test periods for two groups. Socio-constructivism theory served as the study's framework. This study included 140 first-year engineering students who were specifically chosen purposively. A problem-solving ability exam was administered to each group before and during the mechanics teaching and learning intervention. The data collection methods included validation and testing. Two experts determined that the teaching materials were valid and could be utilized to develop mechanics problem-solving abilities. The dependability coefficient for the research instrument was 0.83. The collected data descriptive and inferential statistics were analyzed using SPSS 26. The IBMR learning model significantly improved students' mechanics problem-solving ability (p&lt;0.001), with a mean N-gain score of 0.49 for the experimental group and 0.21 for the control group. The findings revealed that the IBMR learning model had a favorable and transformative effect on engineering students' mechanics problem-solving abilities and was therefore recommended for physics teaching and learning in Rwandan tertiary education.
DOI: 10.17632/fgv4bbc5h8.1
title: Demographic functions and structures Control Schizophrenia and Schizophrenia-Dementia

description: Demographic data, neuropsychological profiles and measurements of brain morphometry using MRI, three groups patients: Control, Schizophrenia, and Schizophrenia-Dementia
DOI: 10.17632/72ptz43s9v.1
title: Phishing Websites Dataset

description: These data consist of a collection of legitimate as well as phishing website instances. Each website is represented by the set of features which denote, whether website is legitimate or not. Data can serve as an input for machine learning process. In this repository the two variants of the Phishing Dataset are presented. Full variant - dataset_full.csv Short description of the full variant dataset: Total number of instances: 88,647 Number of legitimate website instances (labeled as 0): 58,000 Number of phishing website instances (labeled as 1): 30,647 Total number of features: 111 Small variant - dataset_small.csv Short description of the small variant dataset: Total number of instances: 58,645 Number of legitimate website instances (labeled as 0): 27,998 Number of phishing website instances (labeled as 1): 30,647 Total number of features: 111
DOI: 10.17632/jmwj7jxt6d.1
title: The transcriptomics and lipidomics datasets

description: The transcriptomics and lipidomics datasets
DOI: 10.17632/58v29j352j.1
title: Data for: Meta-analysis of risk factors for canine leptospirosis

description: Search results and datasets used for the meta-analysis.