cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/r4h9gvrrw2
title: Determinants socioeconomic factors for quality of life and depressive symptoms in community-dwelling older people: a cross-sectional study in Brazil and Portugal

description: The study aimed to analyze the association between the socioeconomic profile and the Quality of Life (QoL) of elderly people with depressive symptoms assisted in Primary Health Care (PHC) in Brazil and Portugal. This is a comparative cross-sectional study with a non-probabilistic sample of elderly people from PHC in Brazil and Portugal, carried out between 2018 and 2018. To assess the variables of interest, a form containing socioeconomic data, the Geriatric Depression Scale (GDS- 15) and the Medical Outcomes Short-Form Health Survey (SF-36). We performed descriptive and multivariate analyzes to test the study hypothesis. The sample consisted of n=150 participants (Brazil n=100 and Portugal n=50). There was similarity in some variables of the socioeconomic profile of both groups, with predominance in the total sample of females (76.0% / p = 0.224) and of individuals aged between 65 and 80 years (88.0% - p = 0.594 ). However, in Brazil, less education (79.0%/ p = 0.001) and participants who did not live alone (86.0%/ p = 0.001) stood out. In Portugal, all participants had an income lower than the minimum wage (100.0% / p &lt;0.001). There is also a predominance of symptoms in the group from Brazil (59.0%) (p=0.015 / OR= 1.81 - 95%CI= 1.12 – 2.81). When performing the multivariate association analysis between socioeconomic variables, presence of depressive symptoms and QoL, we selected and presented the most relevant results in Table 5. It is noted that the Mental Health domain was the domain that was most associated with socioeconomic variables. Among them, the female gender (p= 0.027), age group 65-80 years (p=0.042), marital status “without a partner” (p=0.029), education of up to 5 years (p=0.011) and income of up to 1 minimum wage (p=0.037). In all these variables, higher scores were observed in the group from Brazil. With higher scores in Portugal, the General Health Status domain was associated with female gender (p= 0.042) and education of up to 5 years (p=0.045). In addition, the physical aspect domain was associated with income of up to 1 minimum wage. The results revealed the existence of an association between the socioeconomic profile and the QoL in the presence of depressive symptoms. This association was observed mainly among females, low education and low income with aspects of QoL related to mental, physical and social health and self-perception of health. The group from Brazil had higher QoL scores compared to Portugal.
DOI: 10.17632/75ksrspgnv
title: Data for: Percutaneous thermal ablation of hepatocellular carcinoma in the elderly and non-elderly population: Comparison of outcomes and morbidities.

description: pre-procedural, procedural and post-procedural data for patients
DOI: 10.17632/st7rdtts6c
title: Data of Taiwanese: Firms Shifting Earnings from Small Losses to Small Profits

description: We share the original files used in the paper, and each XLSX files is the original file needed to create diagrams and tables.
DOI: 10.17632/x94zzmdcdx
title: Data for: Activation energy of DC hopping conductivity of lightly doped weakly compensated semiconductors

description: File "E3.m" provides MatLab code for reproduction of Table 1 of the article. See "E3.pdf" for the results of the code execution.
DOI: 10.17632/2tjc68s5vf
title: EXPERIMENTAL DATA REGARDING THE EFFECTS OF UREA ADDITION INTO LIQUID FUEL TO COMBUSTION ENHANCEMENT OF A LOW NOX GAS TURBINE COMBUSTOR

description: • Combustion performance data: gas flue temperature, NOx, CO2, CO, O2. The gas flue temperature was acquired at 4 Hz: the average value and the standard deviation are reported in the file COMBUSTION_PERFORMANCE.xlsx – sheet named OPERATING_CONDITIONS, in combination with the controlled data inlet gas temperature of 410 K, the fuel mass flow rate of 0.001 kg/s and the total air mass flow rate varied between 0.04 kg/s and 0.08 kg/s depending on the overall equivalence ratio. Instead, pollutant emissions were simultaneously acquired by means of the portable gas analyser model PG-350E Horiba, at sampling frequency of 1 Hz. The average value and the standard deviation of each specie concentration are reported in the file COMBUSTION_PERFORMANCE.xlsx - sheet named EMISSIONS. The files rawData_test#.xlsx, with # denoting the test case number, report the raw signal data. • Luminosity matrix of the VIS images. 100 images are provided sampled at 1 kHz corresponding to 0.1 s of investigated time. For each test case, a 3D matrix of 1024×1240x100 elements are provided in Matlab workspace data format: test1_BB.mat, test2_BB.mat, test3_BB.mat, test4_BB.mat, test5_BB.mat, test6_BB.mat. Into each Matlab data file, three variables have been stored: 1) YIC: 3D single-precision data type tensor, size 1024x1240x100 (calibration factor: 0.041 mm/pixel), representing the y-coordinate (units: pixels), the x-coordinate (units: pixels), and the number of time points, respectively. 2) nImages: integer scalar, number of images. 3) Fs: double-precision scalar, sampling frequency. • Luminosity matrix of the OH* images. 100 images are provided sampled at 1 kHz corresponding to 0.1 s of investigated time. For each test case, a 3D matrix of 966×1574x100 elements are provided in Matlab workspace data format: test1_OH.mat, test2_OH.mat, test3_OH.mat, test4_OH.mat, test5_OH.mat, test6_OH.mat. Into each Matlab data file, three variables have been stored: 1) YIC: 3D single-precision data type tensor, size 966x1574x100 (calibration factor: 0.067 mm/pixel). representing the y-coordinate (units: pixels), the x-coordinate (units: pixels), and the number of time points, respectively. 2) nImages: integer scalar. number of images. 3) Fs: double-precision scalar. sampling frequency. • Luminosity matrix of the CH* images. 100 images are provided sampled at 1 kHz corresponding to 0.1 s of investigated time. For each test case, a 3D matrix of 966×1574x100 elements are provided in Matlab workspace data format: test1_CH.mat, test2_CH.mat, test3_CH.mat, test4_CH.mat, test5_CH.mat, test6_CH.mat. Into each Matlab data file, three variables have been stored: 1) YIC: 3D single-precision data type tensor, size 966x1574x100 (calibration factor: 0.067 mm/pixel), representing the y-coordinate space (units: pixels), the x-coordinate space (units: pixels), and the number of time points, respectively. 2) nImages: integer scalar, number of images. 3) Fs: double-precision scalar, sampling frequency.
DOI: 10.17632/5j2mb85k94
title: Blockchain: Evolución y Definición como base de datos.

description: El documento "Blockchain: Evolución y Definición como base de datos" explora el desarrollo histórico de la tecnología blockchain, desde sus antecedentes en los años 90 (como los trabajos de Haber, Dai y Szabo) hasta su consolidación con Bitcoin (Nakamoto, 2008) y Ethereum (Buterin, 2014). Destaca su evolución desde un sistema monetario hasta una "base de datos descentralizada", analizando sus características únicas: inmutabilidad, consenso distribuido y estructura criptográfica.
DOI: 10.6084/m9.figshare.22154297.v1
title: On the use of LIBS data for mineralogical investigations – constraints and application of a clustering method

description: Appendix B. Modal mineralogy results for each LIBS ablation crater.
DOI: 10.17632/3mhnr7frht
title: RAWDysPeech: A Preprocessed Raw Audio Dataset For Speech Dysarthria

description: RAWDysPeech: A Preprocessed Raw Audio Dataset For Speech Dysarthria is a Speech Dysarthria Dataset for the applicaton of Audio Classification, Speech Detection and similar avenues of research in ASR. 
RAWDysPeech consists of raw audio files segregated into two classes: 1 and 0, where 1 is for speech involving Dysarthria and 0 is for normal speech. We combine and preprocess some of the most popular speech datasets available open sourced. TORGO, UASPEECH, Ultrax, EasyCall are a few to be named. 
Here's a brief description of the steps taken to preprocess and combine and we also encourage you to cite the original authors if this dataset helps in your research.
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This dataset provides preprocessed speech recordings from the UASPEECH database, specifically enhanced for machine learning applications using advanced noise reduction and signal processing techniques.

Dataset Description
The dataset contains audio recordings that have been processed using:

I. FFT-based noise reduction:
Hanning window application for better frequency analysis
16-bit audio depth processing
44.1 kHz sampling rate[1]
Stereo channel support with dual MEMS microphone configuration[2]

II. Preprocessing Steps
Signal Processing

Background noise subtraction using ambient noise sampling
Frequency spectrum analysis with FFT
Amplitude scaling and normalization
Single-sided FFT amplitude doubling for accurate frequency representation[1]

III. Audio Parameters

Bit Depth: 16-bit (pyaudio.paInt16)
Sample Rate: 44.1 kHz
Buffer Size: 44100 frames
Channel Configuration: Supports both mono and stereo recording[2]

IV. File Format
Audio files are saved in .WAV format
Timestamps are included in filenames (YYYY_MM_DD_HH_MM_SS_pyaudio)
Data is organized in dedicated data folders with automated directory creation[1]

V. Applications
Speech Recognition Systems
Dysarthric Speech Analysis
Audio Classification Tasks
Speech Pattern Recognition
Acoustic Model Training
Technical Implementation
The preprocessing pipeline includes real-time audio capture, noise profiling, FFT analysis, and spectrogram generation, making it suitable for both research and practical applications
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Citations: 
[1] Heejin Kim, Mark Hasegawa Johnson, Jonathan Gunderson, Adrienne Perlman, Thomas Huang, Kenneth Watkin, Simone Frame, Harsh Vardhan Sharma, Xi Zhou, March 17, 2023, "UASpeech", IEEE Dataport, doi: https://dx.doi.org/10.21227/f9tc-ab45.
[2] Rudzicz, F., Namasivayam, A.K., Wolff, T. (2012) The TORGO database of acoustic and articulatory speech from speakers with dysarthria. Language Resources and Evaluation, 46(4), pages 523--541.
[3] Shah, Arya; Qureshi, Aymen; Polprasert, Chantri (2024), “ADAPTIVE: A Novel Dataset For Acoustic DysArthria deTection through temPoral Inference and Voice Engineering”, Mendeley Data, V1, doi: 10.17632/j5bgddf6rp.1
DOI: 10.17632/njf4r7mkhk
title: Dataset_PRICE AND INCOME ELASTICITIES OF RESIDENTIAL ELECTRICITY DEMAND IN BRAZIL AND POLICY IMPLICATIONS

description: These data refer to the paper "PRICE AND INCOME ELASTICITIES OF RESIDENTIAL ELECTRICITY DEMAND IN BRAZIL AND POLICY IMPLICATIONS". They show the behavior of electricity consumption in Brazil, in the period from 2004 to 2019, given the behavior of price, income, rainfall, and average temperature. The main objective of the article was to estimate the short- and long-term price-elasticity and income-elasticity of the demand for electricity in the country.
DOI: 10.6084/m9.figshare.28307978.v1
title: The genomic annotation-related data for <i>Larimichthys polyactis</i>

description: In this study, we assembled the chromosome-scale genome sequence of Larimichthys polyactis utilizing a combination of PacBio HiFi and Hi-C technology. This assembly comprises 24 pseudo-chromosomes, yielding a genome size of 677,353,566 bp with a scaffold N50 length of 28,510,860 bp, indicative of a highly contiguous assembly. This folder contains files related to genome annotation.
DOI: 10.17632/tykkdw3zww
title: Abortion Clinics in and Around Texas

description: The data set represents abortion clinics that were open in and around Texas pre the Supreme Court rule to overturn Roe vs. Wade (2022), and the abortion clinics that remain open in the same areas (2022). 

By combining these records, it is possible to begin exploring the impact of the Supreme Court decision on the United States and availability to abortion care and clinics, particularly in Southern, conservative areas. It will help to show which the affects of federal and state policy on abortion rights, in terms of which clinics were allowed to stay open, and where those are located. 

The initial data sets were gathered from two main sources, and then combined. 
-The Texas Abortion Clinic Map lists the abortion clinics that were open in and around Texas
-Google Maps Search of Open Abortion Clinics In and Around Texas

Before the overturn of Roe V Wade there were 60 abortion clinics open in and around the Texas area. After the overturn, there were only 32 of the clinics still open. This means that 46% of the clinics in the area no longer offer abortion services, and many of them are closed entirely. From the center of Texas, clinics are at least seven hours away. 

The initial data sets were used to demonstrate the relationship between abortion clinics that have closed in Texas and available abortion clinics outside of Texas. A lot of clinics could not meet the new restrictions put in place which resulted  in closure. Therefore, the map also indicates locations near Texas that are still open. These places are long distances away from many areas in Texas, meaning that long periods of time are required for travel. This shows how people in Southern, conservative states do not have the same access to care as people who live in states where aboriton is still accessible.
DOI: 10.21233/x9h7-t696
title: Gunma Prefecture ostracode surface sample dataset

description: Raw data for the Gunma Prefecture ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.25546822.v1
title: Mouse Data_traumatic_nerve_injury_and_healthy_mice.xlsx

description: Quantitative scoring enabling comparison of neuromotor recovery in peripheral nerve injury models is critical to understanding and gauging the extent of injury and repair. Not all interventions can be experimented in humans. However, methods for evaluating rodent gait lack the multivariate description applied to humans limiting their effectiveness. Using state of the art methods to multivariately evaluate novel therapies (like limb transplantation) in murine gait models represents a novel clinical problem to investigate.Video gait data was collected of mice walking on the DigiGait treadmill system across groups representing increasing degrees of damage to the neuro-musculo-skeletal sequence of healthy gait. Groups included healthy controls and two experimental groups: (a) total nerve transection + reconnection of the femoral and sciatic nerves, and (b) nerve, muscle, and bone damage via total hind limb transplantation.
DOI: 10.17632/zpz5h43c4w
title: Supplemental material for Clinical and pathological features of cutaneous manifestations in VEXAS syndrome: a multicenter retrospective study of 59 cases

description: Supplemental material for the Research letter "Clinical and pathological features of cutaneous manifestations in VEXAS syndrome: a multicenter retrospective study of 59 cases" published in the JAAD
DOI: 10.6084/m9.figshare.8378744.v1
title: DataofIESwiththeIEEE14-bussystemandan8-nodegassystem.xlsx

description: Data of IES with the IEEE14-bus system and an 8-node gas system
DOI: 10.6084/m9.figshare.12163857.v2
title: GTT-1-protein-320.dcdWW domain trajectories

description: Trajectories of ww domainTrajectories dataTrajectories of WW domain
DOI: 10.17632/55wkvg2w4s
title: Contrasting the Effects of Exergaming using Virtual Reality vs. Neck Resistance Training on Pain, Mobility, and Kinesiophobia in Acute Cervical Pain among Collegiates – A preliminary study

description: Background: Cervical pain (CP) has garnered significant attention in the last two decades due to its widespread impact, affecting approximately half of the population and coming in at number four among the primary causes of impairment. CP's effects extend to daily activities and employment, notably in technologically advanced environments like schools and workplaces. Understanding CP's nature and classification is crucial for effective management and prevention strategies.
Aim & Objectives: To compare the effects of exergaming using Virtual reality (VR) with neck resistance training (NRT) on pain, mobility, and kinesiophobia in collegiate individuals with acute cervical pain
Materials and methods: Twenty-six collegiate individuals with acute CP participated in a randomized controlled trial. One group received NRT, while the other engaged in VR exergaming. Pain, mobility, and kinesiophobia were evaluated using the Tampa Scale, range of motion (ROM) measurements, and the Numeric Pain Rating Scale (NPRS) over a three-week period both before to and following the intervention.
Results and Discussion: Significant pain relief (Median = 1.50, p = 0.139) was seen by both groups following the intervention, although starting at identical pain levels (Median = 4.00). Cervical mobility, especially in rotations, significantly improved (p &lt; 0.05). The post-intervention level of kinesiophobia considerably decreased (Median = 20.00, p = 0.022). Pain (z = -3.250, p = 0.001; Group 2: -3.228, p = 0.01), kinesiophobia (z = -3.062, p = 0.002; Group 2: z = -3.072, p = 0.002), and cervical mobility (p &lt; 0.01 for Group 1; p &lt; 0.05 for Group 2) were all significantly reduced within each group. Both genders showed significant improvement in post-intervention kinesiophobia and pain levels.
Conclusion: The study saw notable pain reduction and decreased kinesiophobia after VR and NRT. Neck mobility measures remained relatively stable pre- and post-intervention in both groups. This shift from moderate to mild pain and lower kinesiophobia levels suggests combining these methods could improve acute CP management.
Keywords: Acute cervical pain, Exergaming, Neck pain, Neck resistance training, Virtual reality, Virtual reality training.
DOI: 10.17632/k5r6y3kzhb
title: Data for: Neurogenic bladder in the settings of Congenital Zika Syndrome: a confirmed and unknown condition for urologists

description: This is the dataset used to investigate neurogenic bladder on patients with Congenital Zika Syndrome
DOI: 10.17632/jchzh3zwcy
title: Stairclimbing Wheelchair Dataset

description: This dataset focus on human activities performed with a stair-climbing wheelchair, providing an essential resource for developing and benchmarking machine learning and deep learning models for Human Activity Recognition (HAR). The combination of sensor modalities, real-world variations, and detailed annotations makes this dataset a valuable contribution.
DOI: 10.17632/mz3z94ppbn
title: Child Car Seat Laws in Transportation Network Company Vehicles
DOI: 10.17632/wbykhd7fp8
title: Data for: Safety evaluation of Artemisia annua extract in acute, short term and genotoxicity studies
DOI: 10.6084/m9.figshare.22883072.v1
title: Data For: Influence of skill relatedness on the location choice of heterogeneous labor force in Chinese prefecture-level cities

description: High-quality regional development should be promoted by facilitating inter-regional mobility of heterogeneous labor force to optimize its spatial allocation. This study incorporates skill relatedness into spatial categorization and selection effects, and explores how skill-relatedness affects heterogeneous labor force’ location choices. To examine the effect, we use labor force migration data and employee data by occupation subcategory in prefecture-level cities from the China 2000 National Population Census and China 2015 National Population Sample Survey microdata sets. The file "calculation of migration rate" is the calculation data and calculation process of the labor migration rate. The file 'calculation of skill relatedess'' is the calculation data and calculation process of skill data of variable. The file "data of variable" is relevant data for an empirical test of the impact of skill data of variable on heterogeneous labor location selection.
DOI: 10.17632/vnft2c9w7y
title: Data of mollusk communities from intermittent rivers in Brazilian semiarid region

description: Studies on reservoirs in the Brazilian semiarid region identify that the most important factors for the community structuring of these animals are the hydroperiod and its related variables (precipitation, depth, and water temperature) (Almeida et al., 2018; Okumura & Rocha, 2020; Silva et al., 2020b). Therefore, these factors, as well as anthropic impacts, should also structure mollusk communities, in intermittent rivers. It is also assumed that seasonality similarly influences the community structure when analyzing intermittent rivers from the same hydrographic basin. In this sense, the objective of this study is to investigate the influence of determining factors for environmental heterogeneity, linked to the irregularity of hydroperiods and the state of conservation of intermittent rivers in the Brazilian semiarid region, on the structure and dynamics of limnic mollusk communities.
When analyzing the data, our results showed that the environmental heterogeneity, characteristic of semiarid regions and that is generated by the irregularity of the hydroperiods, does not contribute to a high species richness and that the communities of limnic mollusks of intermittent rivers in these regions are shaped by the association of environmental heterogeneity with alterations anthropic consequences resulting from the multiple uses of the margin and bed of the rivers. Additionally, the high abundance of M. tuberculata and B. straminea species in the analyzed rivers, influenced by the previously mentioned factors, reinforces attention to problems related to species invasion and the maintenance of the cycle of parasites of medical importance, respectively.
Our results also show that it is necessary to expand ecological studies in the semiarid region, since many aspects of the dynamics of mollusk communities, historically accepted as a standard, are singular in this region due to the dynamism and the extreme changes to which they are subject in short periods of time.
DOI: 10.6084/m9.figshare.28467671.v1
title: Supplementary Material for: Exceptional Response of Therapy-resistant SF3B1 Mutant Conjunctival Melanoma to Nivolumab/LAG3 Inhibitor Relatlimab Combination Therapy: A Case Report

description: Introduction: Patients with conjunctival melanoma face high rates of recurrence and metastasis, leading to significant morbidity and mortality. Previous reports have shown successful responses to either anti-PD-1, anti-CTLA-4, or combination therapy for metastatic conjunctival melanoma. However, effective new treatments are needed due to inadequate disease response or adverse effects to therapy. Case Presentation: A 43-year-old male was diagnosed with right eye conjunctival melanoma and underwent resection. The melanoma was confirmed in the right lower conjunctiva, eyelid, and the right inferior parotid lymph node was positive for SF3B1 mutation positive metastatic melanoma. The patient was started on nivolumab monotherapy, but developed local and systemic recurrence. Subsequent treatment with combination ipilimumab and nivolumab combination therapy had to be discontinued shortly after due to colitis. Nivolumab/relatlimab combination therapy was initiated and resulted in an exceptional response, leading to regression of the conjunctival melanoma, shrinkage of metastatic lymph nodes, and stabilization of lung disease. Conclusion: To our knowledge, this is the first reported case demonstrating nivolumab/relatlimab efficacy in treating therapy-resistant conjunctival melanoma after failing nivolumab single-therapy.