cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28382100.v1
title: Ophthalmic, Neurological, Radiological, and Visual Rehabilitation Profile and Outcomes in a Cohort of Patients with Joubert Syndrome

description: To report the ophthalmic, neurological, and radiological profile in a cohort of patients suspected with Joubert syndrome (JS). A retrospective review of electronic medical records of patients diagnosed with or referred as a diagnosed case of JS was conducted. Clinical profile, visual electrophysiology, and rehabilitation, along with radiologic features, were studied. Total 26 patients were studied, mean age at presentation was 4.6 (±2.8) years, and the male-to-female ratio was 3.3:1. Among patients with quantitative vision assessment (<i>n</i> = 11; 42.3%), severe visual impairment was noted in the better eye at presentation in five patients (45.5%), while moderate vision loss was observed in six patients (54.5%). Fixing following light or no fixation was documented in 15 patients. Astigmatism (with hyperopia/myopia) was the most common refractive error in 14 patients (14/26; 53.84%), and high hypermetropia &gt;+6D was noted in five patients (5/26; 19.23%). Exotropia was more frequent (<i>n</i> = 13; 50%) in patients. Head thrust/oculomotor apraxia was noted in four (15.3%) and retinal dystrophy in eight (32%) patients. Electroretinogram (<i>n</i> = 5/8) testing revealed subnormal or undetectable scotopic and photopic responses. MRI brain revealed a molar tooth sign in all patients (<i>n</i> = 26; 100%). Rehabilitation specialists evaluated 16 children with a range of follow-up visits (1–33 visits), and improvement in visual acuity was noted in eight children. In our cohort, visual impairment with abnormal eye movements and generalized hypotonia were the most consistent clinical features, and a molar tooth sign on MRI brain was the most consistent radiological feature. Neuro-imaging should be considered in all. Visual rehabilitation plays a crucial role in the multidisciplinary management.
DOI: 10.6084/m9.figshare.28351885
title: Neuro-Ophthalmic Characteristics of Patients with Tuberous Sclerosis Complex at a Tertiary Care Referral Centre

description: Tuberous Sclerosis Complex (TSC) is a multisystem neurocutaneous disorder with multiple neuro-ophthalmologic manifestations. The ophthalmologist plays an important role in the multi-disciplinary care team and should be familiar with this condition and its neuro-ophthalmic associations. A retrospective review of patients with TSC presenting to a neuro-ophthalmology clinic between 2015 and 2023 was performed. Patients had a diagnosis of TSC based on genetic testing or clinically definite disease (CDD) and at least one ophthalmic exam. We identified 135 patients. The mean age at the first exam was 14.1 ± 13.0 years. Seventy-three patients (54%) had retinal astrocytic hamartoma (RAH), bilateral in 33 (46%). Patients with TSC2 mutations and CDD were more likely to have RAHs than patients with TSC1 (<i>p</i> &lt; .0005, &lt;0.0001, respectively). In 60 patients where near-infrared reflectance (NIR) imaging guided optical coherence tomography (OCT) was performed, 23 (38%) had RAHs identified that were not seen on fundoscopy. Patients with subependymal giant cell astrocytoma (SEGA) were more likely to have RAHs than patients without (<i>p</i> = .037). The incidence of RAH and achromic patches was similar in patients with vs without TSC-associated neuropsychiatric disorders (TAND). Hamartoma were more common in patients with TSC2 mutations, CDD, and/or SEGA. NIR-guided OCT helps identify RAHs not seen on fundoscopy. Ocular involvement was not related to TANDs.
DOI: 10.6084/m9.figshare.28351885.v1
title: Neuro-Ophthalmic Characteristics of Patients with Tuberous Sclerosis Complex at a Tertiary Care Referral Centre

description: Tuberous Sclerosis Complex (TSC) is a multisystem neurocutaneous disorder with multiple neuro-ophthalmologic manifestations. The ophthalmologist plays an important role in the multi-disciplinary care team and should be familiar with this condition and its neuro-ophthalmic associations. A retrospective review of patients with TSC presenting to a neuro-ophthalmology clinic between 2015 and 2023 was performed. Patients had a diagnosis of TSC based on genetic testing or clinically definite disease (CDD) and at least one ophthalmic exam. We identified 135 patients. The mean age at the first exam was 14.1 ± 13.0 years. Seventy-three patients (54%) had retinal astrocytic hamartoma (RAH), bilateral in 33 (46%). Patients with TSC2 mutations and CDD were more likely to have RAHs than patients with TSC1 (<i>p</i> &lt; .0005, &lt;0.0001, respectively). In 60 patients where near-infrared reflectance (NIR) imaging guided optical coherence tomography (OCT) was performed, 23 (38%) had RAHs identified that were not seen on fundoscopy. Patients with subependymal giant cell astrocytoma (SEGA) were more likely to have RAHs than patients without (<i>p</i> = .037). The incidence of RAH and achromic patches was similar in patients with vs without TSC-associated neuropsychiatric disorders (TAND). Hamartoma were more common in patients with TSC2 mutations, CDD, and/or SEGA. NIR-guided OCT helps identify RAHs not seen on fundoscopy. Ocular involvement was not related to TANDs.
DOI: 10.5281/zenodo.14780239
title: Comprehensive Whole Genome Sequencing Dataset of Mycobacterium tuberculosis Strains Collected Across Italy

description: Tuberculosis (TB), caused by the Mycobacterium tuberculosis complex (MTBC), remains a major global health challenge. Whole genome sequencing (WGS) offers an invaluable tool for understanding the genetic diversity and drug resistance profiles of MTBC. This study provides a comprehensive WGS dataset of 2,520 MTBC isolates collected from four Italian regions—Lombardy, Piedmont, Emilia-Romagna, and Lazio—between 2017 and 2020. The dataset includes genomic data along with associated metadata, such as geographic location and drug susceptibility profiles, providing a robust resource for studying TB epidemiology and transmission dynamics. This collection represents the largest publicly available MTBC WGS dataset from Italy and has been validated to ensure accuracy and completeness. By making this dataset accessible, we aim to support collaborative research, facilitate the exploration of MTBC evolution and drug resistance, and enhance TB surveillance efforts.
DOI: 10.5281/zenodo.14808803
title: Comprehensive Whole Genome Sequencing Dataset of Mycobacterium tuberculosis Strains Collected Across Italy

description: Tuberculosis (TB), caused by the Mycobacterium tuberculosis complex (MTBC), remains a major global health challenge. Whole genome sequencing (WGS) offers an invaluable tool for understanding the genetic diversity and drug resistance profiles of MTBC. This study provides a comprehensive WGS dataset of 2,520 MTBC isolates collected from four Italian regions—Lombardy, Piedmont, Emilia-Romagna, and Lazio—between 2017 and 2020. The dataset includes genomic data along with associated metadata, such as geographic location and drug susceptibility profiles, providing a robust resource for studying TB epidemiology and transmission dynamics. This collection represents the largest publicly available MTBC WGS dataset from Italy and has been validated to ensure accuracy and completeness. By making this dataset accessible, we aim to support collaborative research, facilitate the exploration of MTBC evolution and drug resistance, and enhance TB surveillance efforts.
DOI: 10.5281/zenodo.14780238
title: Comprehensive Whole Genome Sequencing Dataset of Mycobacterium tuberculosis Strains Collected Across Italy

description: Tuberculosis (TB), caused by the Mycobacterium tuberculosis complex (MTBC), remains a major global health challenge. Whole genome sequencing (WGS) offers an invaluable tool for understanding the genetic diversity and drug resistance profiles of MTBC. This study provides a comprehensive WGS dataset of 2,520 MTBC isolates collected from four Italian regions—Lombardy, Piedmont, Emilia-Romagna, and Lazio—between 2017 and 2020. The dataset includes genomic data along with associated metadata, such as geographic location and drug susceptibility profiles, providing a robust resource for studying TB epidemiology and transmission dynamics. This collection represents the largest publicly available MTBC WGS dataset from Italy and has been validated to ensure accuracy and completeness. By making this dataset accessible, we aim to support collaborative research, facilitate the exploration of MTBC evolution and drug resistance, and enhance TB surveillance efforts.
DOI: 10.5281/zenodo.15125707
title: Comprehensive Whole Genome Sequencing Dataset of Mycobacterium tuberculosis Strains Collected Across Italy

description: Tuberculosis (TB), caused by the Mycobacterium tuberculosis complex (MTBC), remains a major global health challenge. Whole genome sequencing (WGS) offers an invaluable tool for understanding the genetic diversity and drug resistance profiles of MTBC. This study provides a comprehensive WGS dataset of 2,520 MTBC isolates collected from four Italian regions—Lombardy, Piedmont, Emilia-Romagna, and Lazio—between 2017 and 2020. The dataset includes genomic data along with associated metadata, such as geographic location and drug susceptibility profiles, providing a robust resource for studying TB epidemiology and transmission dynamics. This collection represents the largest publicly available MTBC WGS dataset from Italy and has been validated to ensure accuracy and completeness. By making this dataset accessible, we aim to support collaborative research, facilitate the exploration of MTBC evolution and drug resistance, and enhance TB surveillance efforts.
DOI: 10.23729/fd-96a5c0d8-9394-35f5-9729-e6cfb9b6d809
title: Investigation of mechanical behavior of porcelain tiles made of spodumene tailings

description: Given the increasing accumulation of spodumene tailings resulting from lithium extraction, there is an increasing need to identify suitable applications for these residues. The characterization tests conducted on the spodumene tailings showed an adequate amount of silica and alumina for their use as raw materials for ceramics and porcelains. Therefore, in this study, spodumene tailings composed of quartz–feldspar sand (QFS) were used to produce ceramic porcelain tiles. The material is incorporated as a mineral additive in the porcelain tile composition to determine the optimal dosage while staying within a typical porcelain tile composition of 69% SiO2, 21% Al2O3, 3% Na2O, 2% K2O, 1.5% CaO, and 1% MgO. Different sintering temperatures and dwell times were applied to establish the optimal conditions for producing porcelain tiles containing tailings. To evaluate the tiles’ properties, a range of characterization tests were performed, including water absorption, apparent density, open porosity, modulus of rupture, scanning electron microscopy, thermogravimetric analysis, X-ray diffraction, and dilatometry. The results indicate that increasing the sintering temperature and dwell time directly reduces the open porosity and water absorption of the tiles. The proportion of tailings in the porcelain tile composition was not directly correlated with the properties of the tiles, including mechanical, water absorption, open porosity, apparent density, and thermal behavior, as compared with the reference composition without tailings. However, the addition of tailings improved some properties like flexural strength and thermal stability at an optimum dosage of 25–35 wt%. This improvement may be attributed to the optimized alumina-to-silica ratio and the higher concentration of alkaline oxides compared with the other compositions.
DOI: 10.15139/s3/o7yqgk
title: Monmouth University New Jersey CD07 Poll, Number 290

description: This survey was conducted among New Jersey voters living in 7th congressional district and addresses the 2024 general election.
DOI: 10.4121/1c783e5a-b8dd-48a0-8d02-67554c7ea2b0
title: Data underlying the publication: Perceived Intensity of Pneumatic Vibrotactile Stimuli: Effects of Pressure, Frequency, and Stiffness

description: Vibrotactile actuators are used in many different haptic devices, e.g. game controllers and smartphones. These vibrotactile actuators are typically made of rigid materials. In this work, we use soft pneumatic actuators known as Pneumatic Unit Cell (PUC) to characterize the perceived intensity of vibrotactile stimuli when presented at the tip of the index finger. This study investigates how three parameters—stimulus pressure (4 to 30 kPa), inflation-deflation frequency (20 to 100 Hz), and actuator stiffness (determined by top layer thicknesses of 0.9 mm and 1.2 mm)—influence the perceptual intensity of the stimuli. Psychophysical experiments involving 16 participants were conducted using the AEPsych toolbox.<br>Statistical analysis was conducted to assess the influence of the three parameters on perceived vibrotactile intensity. A 3×3 repeated-measures ANOVA was performed at nine representative pressure-frequency combinations to evaluate the main effects of pressure and frequency for each actuator design. To examine interaction effects, two separate one-way repeated-measures ANOVA tests were conducted for each actuator design to compare the Just Noticeable Differences (JNDs) across three pressure slices (33 Hz, 63 Hz, and 93 Hz) and three frequency slices (10 kPa, 18 kPa, and 26 kPa). The mean of JNDs (mean of pressure slices JNDs and mean of frequency slices JNDs) were then used to compare the relative influence of pressure and frequency, using a paired t-test for the 0.9 mm PUC actuator and a Wilcoxon signed-rank test for the 1.2 mm PUC actuator. To analyze the effect of actuator stiffness, we evaluated the frequency adjustment required at 17 kPa and the pressure adjustment required at 60 Hz in the 1.2 mm PUC actuator to match the perceived intensity of a reference stimulus from the 0.9 mm PUC actuator. A paired t-test was performed in both cases to determine the influence of actuator stiffness.<br>These reveal that all the three parameters - pressure, frequency, and actuator stiffness significantly affect perceptual intensity. The findings indicate that both pressure and frequency exhibit a positive main effect and a positive interaction effect on perceived vibrotactile intensity. Additionally, the results show that, for a given frequency, pressure variations produce more perceptually distinct stimuli than frequency variations for a given pressure. Finally, presenting vibrotactile stimuli on a less stiff PUC actuator was perceived as being less intense than when the same stimulus was presented on a stiffer PUC actuator. Overall, this study provides key insights into the combined influence of pressure, frequency and actuator stiffness on the perceived vibrotactile intensity.
DOI: 10.4121/1c783e5a-b8dd-48a0-8d02-67554c7ea2b0.v1
title: Data underlying the publication: Perceived Intensity of Pneumatic Vibrotactile Stimuli: Effects of Pressure, Frequency, and Stiffness

description: Vibrotactile actuators are used in many different haptic devices, e.g. game controllers and smartphones. These vibrotactile actuators are typically made of rigid materials. In this work, we use soft pneumatic actuators known as Pneumatic Unit Cell (PUC) to characterize the perceived intensity of vibrotactile stimuli when presented at the tip of the index finger. This study investigates how three parameters—stimulus pressure (4 to 30 kPa), inflation-deflation frequency (20 to 100 Hz), and actuator stiffness (determined by top layer thicknesses of 0.9 mm and 1.2 mm)—influence the perceptual intensity of the stimuli. Psychophysical experiments involving 16 participants were conducted using the AEPsych toolbox.<br>Statistical analysis was conducted to assess the influence of the three parameters on perceived vibrotactile intensity. A 3×3 repeated-measures ANOVA was performed at nine representative pressure-frequency combinations to evaluate the main effects of pressure and frequency for each actuator design. To examine interaction effects, two separate one-way repeated-measures ANOVA tests were conducted for each actuator design to compare the Just Noticeable Differences (JNDs) across three pressure slices (33 Hz, 63 Hz, and 93 Hz) and three frequency slices (10 kPa, 18 kPa, and 26 kPa). The mean of JNDs (mean of pressure slices JNDs and mean of frequency slices JNDs) were then used to compare the relative influence of pressure and frequency, using a paired t-test for the 0.9 mm PUC actuator and a Wilcoxon signed-rank test for the 1.2 mm PUC actuator. To analyze the effect of actuator stiffness, we evaluated the frequency adjustment required at 17 kPa and the pressure adjustment required at 60 Hz in the 1.2 mm PUC actuator to match the perceived intensity of a reference stimulus from the 0.9 mm PUC actuator. A paired t-test was performed in both cases to determine the influence of actuator stiffness.<br>These reveal that all the three parameters - pressure, frequency, and actuator stiffness significantly affect perceptual intensity. The findings indicate that both pressure and frequency exhibit a positive main effect and a positive interaction effect on perceived vibrotactile intensity. Additionally, the results show that, for a given frequency, pressure variations produce more perceptually distinct stimuli than frequency variations for a given pressure. Finally, presenting vibrotactile stimuli on a less stiff PUC actuator was perceived as being less intense than when the same stimulus was presented on a stiffer PUC actuator. Overall, this study provides key insights into the combined influence of pressure, frequency and actuator stiffness on the perceived vibrotactile intensity.
DOI: 10.25318/1410047701-eng
title: Labour market indicators for persons with and without disabilities, annual

description: Labour market indicators by disability, province, gender, age group and highest level of educational attainment or immigrant status.
DOI: 10.5281/zenodo.15125715
title: the Interconnectedness of Athletes' Performance Beliefs, Coping Ability, and Mental Health, and the Efficacy of a REBT-inspired Mobile App Intervention
DOI: 10.5281/zenodo.15125716
title: the Interconnectedness of Athletes' Performance Beliefs, Coping Ability, and Mental Health, and the Efficacy of a REBT-inspired Mobile App Intervention
DOI: 10.5281/zenodo.15125727
title: Ransomware Defense Empowered: Deep Learning for Real-Time Family Identification with a Proprietary Dataset

description: Ransomware, leveraging sophisticated encryption techniques, poses a significant threat by encrypting crucial data, thereby rendering it inaccessible. The proliferation of diverse ransomware variants has caused considerable harm to governments, corporations, and individual users alike. Despite the increasing prevalence of cyber threats, existing solutions often struggle with real-time detection and early identification of ransomware families. To address this challenge, we introduce FCG-RFD, a novel benchmark dataset featuring extensive Function Call Graphs (FCG) tailored for ransomware family detection. Given the constantly evolving nature of malware, antivirus scanners face ongoing challenges, necessitating access to recent and updated datasets. Our dataset comprises 8,095 samples sourced from reputable repositories including VirusSamples, Virusshare, VirusSign, the Zoo, and MalwareBazaar. Additionally, we include 8,020 normal files obtained from trusted sources such as the Microsoft Store and Softonic. Through FCG-RFD, we aim to facilitate more robust and timely detection of ransomware families, ultimately enhancing cybersecurity measures against this pervasive threat.
DOI: 10.5281/zenodo.15125728
title: Ransomware Defense Empowered: Deep Learning for Real-Time Family Identification with a Proprietary Dataset

description: Ransomware, leveraging sophisticated encryption techniques, poses a significant threat by encrypting crucial data, thereby rendering it inaccessible. The proliferation of diverse ransomware variants has caused considerable harm to governments, corporations, and individual users alike. Despite the increasing prevalence of cyber threats, existing solutions often struggle with real-time detection and early identification of ransomware families. To address this challenge, we introduce FCG-RFD, a novel benchmark dataset featuring extensive Function Call Graphs (FCG) tailored for ransomware family detection. Given the constantly evolving nature of malware, antivirus scanners face ongoing challenges, necessitating access to recent and updated datasets. Our dataset comprises 8,095 samples sourced from reputable repositories including VirusSamples, Virusshare, VirusSign, the Zoo, and MalwareBazaar. Additionally, we include 8,020 normal files obtained from trusted sources such as the Microsoft Store and Softonic. Through FCG-RFD, we aim to facilitate more robust and timely detection of ransomware families, ultimately enhancing cybersecurity measures against this pervasive threat.
DOI: 10.17909/dgad-mz92
title: TESS "Fast" Target Pixel Files: Sector 90

description: All target pixel files for "fast" (20-second cadence) observations from Sector 90.
DOI: 10.17909/7rch-s731
title: TESS Target Pixel Files: Sector 90

description: All target pixel files for (2-minute cadence) observations from Sector 90.
DOI: 10.17909/8b0a-xp37
title: TESS "Fast" Light Curves: Sector 90

description: All light curve files for "fast" (20-second cadence) observations from Sector 90.
DOI: 10.17909/m3ga-qr38
title: TESS Light Curves: Sector 90

description: All light curve files for (2-minute cadence) observations from Sector 90.
DOI: 10.17909/e8vd-wr25
title: TESS Raw Full Frame Images: Sector 90

description: All raw full frame images from Sector 90.
DOI: 10.17909/08h4-2p63
title: TESS Calibrated Full Frame Images: Sector 90

description: All calibrated full frame images from Sector 90.
DOI: 10.17909/2698-j568
title: TESS Data Validation Files: Sector 90

description: All data validation files from Sector 90.
DOI: 10.5281/zenodo.15125677
title: The equatorial electrojet (EEJ) current derived from the China Seismo-Electromagnetic satellite (CSES)

description: The equatorial electrojet (EEJ) current derived from the magnetic observation of China Seismo-Electromagnetic satellite (CSES).

The dataset contains five columns: UTC, geographic latitude, geographic longitude, EEJ within magnetic latitude -20° to 20° (at intervals of 0.1°), and local time.
DOI: 10.5281/zenodo.15125678
title: The equatorial electrojet (EEJ) current derived from the China Seismo-Electromagnetic satellite (CSES)

description: The equatorial electrojet (EEJ) current derived from the magnetic observation of China Seismo-Electromagnetic satellite (CSES).

The dataset contains five columns: UTC, geographic latitude, geographic longitude, EEJ within magnetic latitude -20° to 20° (at intervals of 0.1°), and local time.
DOI: 10.3217/brb85-h7q20
title: Measurement data for the dissertation on "Increasing the EMI-Robustness of Operational Amplifier Circuits Throughout the IC Design Flow"

description: In this data set you find the data for the measurements of six different folded cascode amplifier test chips. Each type of test chip contains the reference structure, as well as an EMI-improved structure. 

These measurement data contain the results of the DC and AC behaviour to extract the technological offset, the open loop gain, the gain bandwidth product, the phase margin and the power consumption, as well as EMIRR data with amplitudes and frequency sweeps of the EMI disturbance.