cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/fpc8vjz5j5
title: Supplementary Material for "Acantholytic disorders: Update on pathophysiology, diagnosis, and management"

description: Supplementary Figure 1. Yellow-brown coalescing keratotic papules on the forehead and scalp in a patient with Darier disease.
Supplementary Figure 2. Hyperkeratotic plaques with areas of erosion and crusting of the ear and preauricular skin in a patient with Darier disease.
Supplementary Figure 3. Numerous erythematous keratotic papules of the inframammary region in a patient with Darier disease.
Supplementary Figure 4. Splitting of the distal nail plate with red and white streaks in the nail bed in a patient with Darier disease
Supplementary Figure 5. Dorsal tongue with a cobblestone pattern of papules in a patient with Darier disease.
Supplementary Figure 6. Darier disease: Acantholytic dyskeratosis with corps ronds and grains (100X, H&E).
Supplementary Figure 7. Darier disease: A biopsy shows suprabasal epidermal acantholysis and dyskeratosis (40X, H&E).
Supplementary Figure 8. A vesiculated and eroded hyperpigmented plaque in a patient with Hailey-Hailey disease.
Supplementary Figure 9. Erythematous and hyperpigmented plaque with vesiculation, erosion, and crusting in a patient with Hailey-Hailey disease.
Supplementary Figure 10. A macerated and fissured erythematous plaque resembling wet torn tissue paper in the axilla of a patient with Hailey-Hailey disease.
Supplementary Figure 11. Eroded pink plaques of the axilla with dyspigmentation in a patient with Hailey-Hailey disease.
Supplementary Figure 12. Hailey-Hailey disease: Dilapidated brick wall appearance due to extensive acantholysis (20X, H&E).
Supplementary Figure 13. Hailey-Hailey disease: A biopsy shows extensive epidermal acantholysis (40X, H&E).
Supplementary Figure 14. Erythematous crusted papules on the abdomen in a patient with Grover disease.
Supplementary Figure 15. Grover disease: Focal acantholytic dyskeratosis (40X, H&E).
Supplementary Figure 16. Grover disease: A biopsy shows focal epidermal acantholysis and dyskeratosis (40X, H&E).
Supplementary Table. Overlapping and differentiating clinical features of Darier disease, Hailey-Hailey disease, and Grover disease
DOI: 10.17632/fpc8vjz5j5.1
title: Supplementary Material for "Acantholytic disorders: Update on pathophysiology, diagnosis, and management"

description: Supplementary Figure 1. Yellow-brown coalescing keratotic papules on the forehead and scalp in a patient with Darier disease.
Supplementary Figure 2. Hyperkeratotic plaques with areas of erosion and crusting of the ear and preauricular skin in a patient with Darier disease.
Supplementary Figure 3. Numerous erythematous keratotic papules of the inframammary region in a patient with Darier disease.
Supplementary Figure 4. Splitting of the distal nail plate with red and white streaks in the nail bed in a patient with Darier disease
Supplementary Figure 5. Dorsal tongue with a cobblestone pattern of papules in a patient with Darier disease.
Supplementary Figure 6. Darier disease: Acantholytic dyskeratosis with corps ronds and grains (100X, H&E).
Supplementary Figure 7. Darier disease: A biopsy shows suprabasal epidermal acantholysis and dyskeratosis (40X, H&E).
Supplementary Figure 8. A vesiculated and eroded hyperpigmented plaque in a patient with Hailey-Hailey disease.
Supplementary Figure 9. Erythematous and hyperpigmented plaque with vesiculation, erosion, and crusting in a patient with Hailey-Hailey disease.
Supplementary Figure 10. A macerated and fissured erythematous plaque resembling wet torn tissue paper in the axilla of a patient with Hailey-Hailey disease.
Supplementary Figure 11. Eroded pink plaques of the axilla with dyspigmentation in a patient with Hailey-Hailey disease.
Supplementary Figure 12. Hailey-Hailey disease: Dilapidated brick wall appearance due to extensive acantholysis (20X, H&E).
Supplementary Figure 13. Hailey-Hailey disease: A biopsy shows extensive epidermal acantholysis (40X, H&E).
Supplementary Figure 14. Erythematous crusted papules on the abdomen in a patient with Grover disease.
Supplementary Figure 15. Grover disease: Focal acantholytic dyskeratosis (40X, H&E).
Supplementary Figure 16. Grover disease: A biopsy shows focal epidermal acantholysis and dyskeratosis (40X, H&E).
Supplementary Table. Overlapping and differentiating clinical features of Darier disease, Hailey-Hailey disease, and Grover disease
DOI: 10.17632/wzc6r6w5w5
title: Chili Leaf Disease Dataset: Annotated Smartphone Images of Anthracnose, Cercospora Leaf Spot, Leaf Curl Disease, and Healthy Leaves in Bangladesh

description: Introduction
The Chili Leaf Disease Dataset contains 1544 images of chili leaves, captured using smartphone cameras in agricultural fields across Bangladesh. The images are divided into four classes: Anthracnose, Cercospora Leaf Spot, Leaf Curl Disease, and Healthy Leaves. This dataset is designed to assist in the development of machine learning models for automated disease detection in chili plants, supporting agricultural innovation and sustainable farming practices.

Dataset Overview
o Number of Images: 1544
o Classes: 4 — Anthracnose, Cercospora Leaf Spot, Leaf Curl Disease, Healthy Leaves
o Image Sources: Captured using smartphones with varying camera specifications: Redmi 12 (50 MP), Redmi 13 (108 MP), and Tecno Spark 8 Pro (48 MP)
o Geographical Region: Bangladesh
The dataset includes images with varying lighting, backgrounds, and angles to ensure diversity in field conditions. This allows the dataset to reflect real-world conditions that farmers might encounter when diagnosing.

Chili Leaf Diseases
Anthracnose: A fungal disease caused by Colletotrichum species, leading to dark, sunken lesions on leaves and fruits. 
Cercospora Leaf Spot: Caused by Cercospora capsici, this disease results in dark, circular spots on leaves, causing premature leaf drop.
Leaf Curl Disease: Caused by viruses like ChiVMV and ToLCV, this disease causes leaves to curl, leading to stunted growth and reduced yield. 
Healthy Leaves: Includes disease-free chili leaves, serving as a baseline for comparison with diseased leaves.

Data Collection
The images were captured across various chili fields in Bangladesh using the smartphones listed above. These smartphones were chosen for their accessibility and image quality, reflecting conditions under which farmers typically use smartphones for agricultural tasks. Images were taken from various angles and distances, with different lighting conditions, to simulate real-world scenarios.

Use Cases
Mobile Applications for Farmers: Develop smartphone apps enabling farmers to take pictures of their plants and receive instant diagnoses on disease presence.
Precision Agriculture: Assist farmers by providing early disease detection, reducing pesticide use, and improving crop management.
Agricultural Research: Support studies in plant pathology and machine learning for improved disease diagnosis and management systems.

Ethics and Data Sharing
The dataset was collected from publicly accessible fields in Bangladesh with no personal identifiers attached. It is shared under an open license for non-commercial use, promoting collaboration in agricultural and machine learning research.

Conclusion
This dataset provides a valuable resource for developing automated systems that assist farmers in Bangladesh and other regions with disease detection and crop management. By leveraging machine learning, this dataset helps reduce reliance on manual inspection, improves crop health monitoring, and supports more sustainable agricultural practices.
DOI: 10.17632/wzc6r6w5w5.1
title: Chili Leaf Disease Dataset: Annotated Smartphone Images of Anthracnose, Cercospora Leaf Spot, Leaf Curl Disease, and Healthy Leaves in Bangladesh

description: Introduction
The Chili Leaf Disease Dataset contains 1544 images of chili leaves, captured using smartphone cameras in agricultural fields across Bangladesh. The images are divided into four classes: Anthracnose, Cercospora Leaf Spot, Leaf Curl Disease, and Healthy Leaves. This dataset is designed to assist in the development of machine learning models for automated disease detection in chili plants, supporting agricultural innovation and sustainable farming practices.

Dataset Overview
o Number of Images: 1544
o Classes: 4 — Anthracnose, Cercospora Leaf Spot, Leaf Curl Disease, Healthy Leaves
o Image Sources: Captured using smartphones with varying camera specifications: Redmi 12 (50 MP), Redmi 13 (108 MP), and Tecno Spark 8 Pro (48 MP)
o Geographical Region: Bangladesh
The dataset includes images with varying lighting, backgrounds, and angles to ensure diversity in field conditions. This allows the dataset to reflect real-world conditions that farmers might encounter when diagnosing.

Chili Leaf Diseases
Anthracnose: A fungal disease caused by Colletotrichum species, leading to dark, sunken lesions on leaves and fruits. 
Cercospora Leaf Spot: Caused by Cercospora capsici, this disease results in dark, circular spots on leaves, causing premature leaf drop.
Leaf Curl Disease: Caused by viruses like ChiVMV and ToLCV, this disease causes leaves to curl, leading to stunted growth and reduced yield. 
Healthy Leaves: Includes disease-free chili leaves, serving as a baseline for comparison with diseased leaves.

Data Collection
The images were captured across various chili fields in Bangladesh using the smartphones listed above. These smartphones were chosen for their accessibility and image quality, reflecting conditions under which farmers typically use smartphones for agricultural tasks. Images were taken from various angles and distances, with different lighting conditions, to simulate real-world scenarios.

Use Cases
Mobile Applications for Farmers: Develop smartphone apps enabling farmers to take pictures of their plants and receive instant diagnoses on disease presence.
Precision Agriculture: Assist farmers by providing early disease detection, reducing pesticide use, and improving crop management.
Agricultural Research: Support studies in plant pathology and machine learning for improved disease diagnosis and management systems.

Ethics and Data Sharing
The dataset was collected from publicly accessible fields in Bangladesh with no personal identifiers attached. It is shared under an open license for non-commercial use, promoting collaboration in agricultural and machine learning research.

Conclusion
This dataset provides a valuable resource for developing automated systems that assist farmers in Bangladesh and other regions with disease detection and crop management. By leveraging machine learning, this dataset helps reduce reliance on manual inspection, improves crop health monitoring, and supports more sustainable agricultural practices.
DOI: 10.17632/98f4z3f8tx
title: Power transformer data for fault diagnosis

description: Power transformers are essential machines in every electricity generation and distribution grid. Its reliability must be assured as an unexpected failure might represent a catastrophic event leading to a lack of the electricity ser- vice in a whole community or region. Given the importance of such trans-formers, predictive maintenance techniques have been increasingly used to detect incipient faults and trigger maintenance actions accurately when are needed. One of the traditional analyses on power transformers is on oil gas analysis. Multiple methods have been proposed to detect and identify faults on different variables extracted from the oil gas analysis. However, these traditional techniques not always offer a conclusive diagnostic. Given the in- creasing use of data-driven models in fault diagnosis, this study was focused to collect and organize a data from oil gas analysis preformed on real transformers over multiple years of service. The objective is to provide a dataset that researchers can use to train innovative data-driven models that might overcome the current gaps in power transformers fault diagnosis using oil gas data.
DOI: 10.5281/zenodo.18530797
title: Data and measurements of Pn tomography in southwestern United States

description: The travel-time data used for the inversion and the Pn velocity and anisotropy measurements in the southwestern United States.
DOI: 10.5281/zenodo.18530798
title: Data and measurements of Pn tomography in southwestern United States

description: The travel-time data used for the inversion and the Pn velocity and anisotropy measurements in the southwestern United States.
DOI: 10.17632/98f4z3f8tx.2
title: Power transformer data for fault diagnosis

description: Power transformers are essential machines in every electricity generation and distribution grid. Its reliability must be assured as an unexpected failure might represent a catastrophic event leading to a lack of the electricity ser- vice in a whole community or region. Given the importance of such trans-formers, predictive maintenance techniques have been increasingly used to detect incipient faults and trigger maintenance actions accurately when are needed. One of the traditional analyses on power transformers is on oil gas analysis. Multiple methods have been proposed to detect and identify faults on different variables extracted from the oil gas analysis. However, these traditional techniques not always offer a conclusive diagnostic. Given the in- creasing use of data-driven models in fault diagnosis, this study was focused to collect and organize a data from oil gas analysis preformed on real transformers over multiple years of service. The objective is to provide a dataset that researchers can use to train innovative data-driven models that might overcome the current gaps in power transformers fault diagnosis using oil gas data.
DOI: 10.17632/7gdxrn6vf3
title: Dataser for "Effects of irrelevant speech on cognitive and behavioural outcomes in open-plan offices"

description: This dataset accompanies the study "Effects of irrelevant speech on cognitive and behavioural outcomes in open-plan offices." Twenty-four participants (12 male, 12 female) performed a Sustained Attention to Response Task (SART) under four within-subject conditions of irrelevant speech sound pressure level (SPL): quiet control (35–40 dB(A)), low (40–45 dB(A)), medium (45–50 dB(A)), and high (50–55 dB(A)). Electroencephalogram (EEG) and electrodermal activity (EDA) were recorded simultaneously. After excluding participants with low EEG sampling rates or artefact-contaminated recordings, 16 valid EEG datasets were retained.

The file dataset.xlsx contains four sheets. The aggregated_behavior_eda sheet provides condition-level behavioural and EDA data for all 24 participants, including reaction capacity (Cr), correct rate (Rc), overall performance (P), and the relative change in skin conductance level (dSCL). The time_series_behavior sheet provides the same behavioural metrics binned into 20-second intervals across the 4.3-minute task. The aggregated_eeg sheet provides condition-level EEG task engagement (TE), defined as the ratio of beta power to the sum of alpha and theta power at prefrontal electrodes (AF7, AF8, FP1, FP2), for the 16 valid participants. The time_series_eeg sheet provides the same TE index in 20-second bins. Across all sheets, subject_id is an anonymised participant identifier, spl_level encodes condition (0 = quiet, 1 = low, 2 = medium, 3 = high), gender is coded as 0 = female and 1 = male, and noise_sensitivity is the Weinstein Noise Sensitivity Scale score.
DOI: 10.17632/7gdxrn6vf3.1
title: Dataser for "Effects of irrelevant speech on cognitive and behavioural outcomes in open-plan offices"

description: This dataset accompanies the study "Effects of irrelevant speech on cognitive and behavioural outcomes in open-plan offices." Twenty-four participants (12 male, 12 female) performed a Sustained Attention to Response Task (SART) under four within-subject conditions of irrelevant speech sound pressure level (SPL): quiet control (35–40 dB(A)), low (40–45 dB(A)), medium (45–50 dB(A)), and high (50–55 dB(A)). Electroencephalogram (EEG) and electrodermal activity (EDA) were recorded simultaneously. After excluding participants with low EEG sampling rates or artefact-contaminated recordings, 16 valid EEG datasets were retained.

The file dataset.xlsx contains four sheets. The aggregated_behavior_eda sheet provides condition-level behavioural and EDA data for all 24 participants, including reaction capacity (Cr), correct rate (Rc), overall performance (P), and the relative change in skin conductance level (dSCL). The time_series_behavior sheet provides the same behavioural metrics binned into 20-second intervals across the 4.3-minute task. The aggregated_eeg sheet provides condition-level EEG task engagement (TE), defined as the ratio of beta power to the sum of alpha and theta power at prefrontal electrodes (AF7, AF8, FP1, FP2), for the 16 valid participants. The time_series_eeg sheet provides the same TE index in 20-second bins. Across all sheets, subject_id is an anonymised participant identifier, spl_level encodes condition (0 = quiet, 1 = low, 2 = medium, 3 = high), gender is coded as 0 = female and 1 = male, and noise_sensitivity is the Weinstein Noise Sensitivity Scale score.
DOI: 10.17632/h7yj45vd83
title: Dataset for "Spatial attenuation of noise and PM2.5 in roadside pocket parks"

description: This dataset contains 544 field measurements of traffic noise and particulate matter concentrations collected from 12 roadside pocket parks in Shenyang, China. The study investigates how these environmental indicators attenuate with increasing distance from the road boundary into park interiors.

Measurements were taken along transects perpendicular to the adjacent road. Each transect comprises a roadside baseline point (P1, distance = 0 m) and up to six interior points (P2-P7) at distances of 5 to 50 metres. Acoustic data (A-weighted equivalent continuous sound level, LAeq) were recorded with a calibrated Class 1 sound level meter, and particulate matter concentrations (PM1, PM2.5, PM10, respirable PM, and TSP) were measured simultaneously with a portable particle counter. Each park was measured over 3-4 rounds during morning (7:00-9:00) and evening (17:00-19:00) peak traffic periods under dry, low-wind conditions.

The dataset is provided as a single CSV file (measurements.csv, UTF-8). Each row represents one observation and contains 18 variables: park identifiers (anonymised as Park A-L), measurement point and round labels, distance from the road in metres, LAeq in decibels, five PM fractions in micrograms per cubic metre, park attributes (size category, area, spatial openness, number of street-facing sides), and ambient temperature and humidity. Half of the observations (272 rows at distance = 0) are roadside baselines; the remaining 272 interior-point observations are used for regression analyses in the accompanying paper.

Please cite the accompanying paper when using this dataset.
DOI: 10.17632/h7yj45vd83.1
title: Dataset for "Spatial attenuation of noise and PM2.5 in roadside pocket parks"

description: This dataset contains 544 field measurements of traffic noise and particulate matter concentrations collected from 12 roadside pocket parks in Shenyang, China. The study investigates how these environmental indicators attenuate with increasing distance from the road boundary into park interiors.

Measurements were taken along transects perpendicular to the adjacent road. Each transect comprises a roadside baseline point (P1, distance = 0 m) and up to six interior points (P2-P7) at distances of 5 to 50 metres. Acoustic data (A-weighted equivalent continuous sound level, LAeq) were recorded with a calibrated Class 1 sound level meter, and particulate matter concentrations (PM1, PM2.5, PM10, respirable PM, and TSP) were measured simultaneously with a portable particle counter. Each park was measured over 3-4 rounds during morning (7:00-9:00) and evening (17:00-19:00) peak traffic periods under dry, low-wind conditions.

The dataset is provided as a single CSV file (measurements.csv, UTF-8). Each row represents one observation and contains 18 variables: park identifiers (anonymised as Park A-L), measurement point and round labels, distance from the road in metres, LAeq in decibels, five PM fractions in micrograms per cubic metre, park attributes (size category, area, spatial openness, number of street-facing sides), and ambient temperature and humidity. Half of the observations (272 rows at distance = 0) are roadside baselines; the remaining 272 interior-point observations are used for regression analyses in the accompanying paper.

Please cite the accompanying paper when using this dataset.
DOI: 10.17632/w7b89wc4tg
title: Precise control of transcription condensate dynamics across S phase balances linker histone expression with DNA replication ensuring genome stability. Marmolejo et al.

description: Images in Figures of published manuscript
DOI: 10.17632/w7b89wc4tg.1
title: Precise control of transcription condensate dynamics across S phase balances linker histone expression with DNA replication ensuring genome stability. Marmolejo et al.

description: Images in Figures of published manuscript
DOI: 10.17632/t58my4979p
title: Figure I. Pemphigus vulgaris and pemphigus foliaceus. Kaplan-Meier curves showing time to complete remission on treatment (CR-on) stratified by disease subtype.

description: Kaplan–Meier survival curves compare pemphigus vulgaris (PV) and pemphigus foliaceus (PF) patients. Median times to CR-on, log-rank p-values, and hazard ratios (HRs) with 95% confidence intervals (CIs) are shown. The y-axis represents the probability of not yet achieving CR-on.
Abbreviations: CR-on, complete remission on treatment; CR-off, complete remission off treatment; PV, pemphigus vulgaris; PF, pemphigus foliaceus; HR, hazard ratio; CI, confidence interval.
DOI: 10.17632/t58my4979p.1
title: Figure I. Pemphigus vulgaris and pemphigus foliaceus. Kaplan-Meier curves showing time to complete remission on treatment (CR-on) stratified by disease subtype.

description: Kaplan–Meier survival curves compare pemphigus vulgaris (PV) and pemphigus foliaceus (PF) patients. Median times to CR-on, log-rank p-values, and hazard ratios (HRs) with 95% confidence intervals (CIs) are shown. The y-axis represents the probability of not yet achieving CR-on.
Abbreviations: CR-on, complete remission on treatment; CR-off, complete remission off treatment; PV, pemphigus vulgaris; PF, pemphigus foliaceus; HR, hazard ratio; CI, confidence interval.
DOI: 10.17632/r7yvfjr7b4
title: Supplementary figure 1. Pemphigus vulgaris and pemphigus foliaceus. Flow chart of remission outcomes in PV vs PF.

description: Flow diagram illustrating the progression of 24 pemphigus patients treated with rituximab, stratified by disease subtype. Each branch displays the number and proportion of patients achieving complete remission on treatment (CR on), experiencing relapse after CR on, and achieving complete remission off treatment (CR off).
Abbreviations: CR on = complete remission on treatment; CR off = complete remission off treatment
DOI: 10.17632/r7yvfjr7b4.1
title: Supplementary figure 1. Pemphigus vulgaris and pemphigus foliaceus. Flow chart of remission outcomes in PV vs PF.

description: Flow diagram illustrating the progression of 24 pemphigus patients treated with rituximab, stratified by disease subtype. Each branch displays the number and proportion of patients achieving complete remission on treatment (CR on), experiencing relapse after CR on, and achieving complete remission off treatment (CR off).
Abbreviations: CR on = complete remission on treatment; CR off = complete remission off treatment
DOI: 10.17632/pbzj2j4jf5
title: Supplementary figure 2. Pemphigus vulgaris and pemphigus foliaceus. Kaplan-Meier curve of time to CR-off in PV and PF

description: Kaplan–Meier survival curves compare PV and PF patients. Median times to CR-off, log-rank p-values, and hazard ratios (HRs) with 95% CIs are shown. The y-axis represents the probability of not yet achieving CR-off.
Abbreviations: CR-on, complete remission on treatment; CR-off, complete remission off treatment; PV, pemphigus vulgaris; PF, pemphigus foliaceus; HR, hazard ratio; CI, confidence interval.