cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vpx3ttgcnj.1
title: Disease burden and treatment patterns in patients with hidradenitis suppurativa and concomitant arthritis: a multicenter case-control study

description: Background: The relationship between HS and arthritis is well-established; however, the impact of their combined disease burden and the associated treatment pattern have not been determined yet.
Objective: To assess disease burden and treatment approaches in HS patients with and without arthritis and estimate the prevalence and distribution of arthritis subtypes among HS patients.
Methods: A multicenter, retrospective, case-control study of 272 adults (69 with HS and arthritis; 203 with HS only), matched by sex, age, and HS duration. Data were analyzed using non-parametric tests, linear mixed-effects models, and logistic regression.
Results: Patients with HS and arthritis had higher rates of immune-mediated diseases, including inflammatory bowel disease (OR 9.44, p&lt;0.0001) and psoriasis (OR 2.99, p=0.0038). They exhibited higher DLQI scores (6.30 vs. 4.03, p=0.031), more dermatology visits (7 vs. 5, p=0.0077), and increased biologic therapy use (72.1% vs. 39.9%, p&lt;0.0001). Arthritis prevalence in HS was 1.7% (0.4-4%) in a cohort of 3,644 patients. Spondyloarthritis was the most common subtype, accounting for 66.6% of cases.
Limitations: Retrospective design and tertiary care center bias.
Conclusion: HS patients with arthritis have a greater disease burden and higher biologic therapy utilization, emphasizing the need for interdisciplinary care and optimizing resources.

SUPPLEMENTARY FIGURES:
- Supplementary figure 1. Diagram of patient inclusion.
- Supplementary figure 2. Prevalence of arthritis among HS patients across all participating health centers. 
- Supplementary figure 3. Exceedance probability distribution of total number of comorbidities per subject by case control-status. 

SUPPLEMENTARY TABLES:
- Supplementary Table 1. Inclusion of participants to the study by health center. 
- Supplementary Table 2. Descriptive statistics of the affected body locations in patients with HS included in the study. 
- Supplementary Table 3. Descriptive statistics of complications in patients with HS included in the study. 
- Supplementary Table 4. Comparison of medical events between HS patients with and without concomitant arthritis, both globally and stratified by Hurley stage at diagnostic. 
- Supplementary Table 5. Prevalence of concomitant arthritis in patients with HS across participant health centers.
DOI: 10.17632/vpx3ttgcnj.2
title: Disease burden and treatment patterns in patients with hidradenitis suppurativa and concomitant arthritis: a multicenter case-control study

description: Background: The relationship between HS and arthritis is well-established; however, the impact of their combined disease burden and the associated treatment pattern have not been determined yet.
Objective: To assess disease burden and treatment approaches in HS patients with and without arthritis and estimate the prevalence and distribution of arthritis subtypes among HS patients.
Methods: A multicenter, retrospective, case-control study of 272 adults (69 with HS and arthritis; 203 with HS only), matched by sex, age, and HS duration. Data were analyzed using non-parametric tests, linear mixed-effects models, and logistic regression.
Results: Patients with HS and arthritis had higher rates of immune-mediated diseases, including inflammatory bowel disease (OR 9.44, p&lt;0.0001) and psoriasis (OR 2.99, p=0.0038). They exhibited higher DLQI scores (6.30 vs. 4.03, p=0.031), more dermatology visits (7 vs. 5, p=0.0077), and increased biologic therapy use (72.1% vs. 39.9%, p&lt;0.0001). Arthritis prevalence in HS was 1.7% (0.4-4%) in a cohort of 3,644 patients. Spondyloarthritis was the most common subtype, accounting for 66.6% of cases.
Limitations: Retrospective design and tertiary care center bias.
Conclusion: HS patients with arthritis have a greater disease burden and higher biologic therapy utilization, emphasizing the need for interdisciplinary care and optimizing resources.

SUPPLEMENTARY FIGURES:
- Supplementary figure 1. Diagram of patient inclusion.
- Supplementary figure 2. Prevalence of arthritis among HS patients across all participating health centers. 
- Supplementary figure 3. Exceedance probability distribution of total number of comorbidities per subject by case control-status. 

SUPPLEMENTARY TABLES:
- Supplementary Table 1. Inclusion of participants to the study by health center. 
- Supplementary Table 2. Descriptive statistics of the affected body locations in patients with HS included in the study. 
- Supplementary Table 3. Descriptive statistics of complications in patients with HS included in the study. 
- Supplementary Table 4. Comparison of medical events between HS patients with and without concomitant arthritis, both globally and stratified by Hurley stage at diagnostic. 
- Supplementary Table 5. Prevalence of concomitant arthritis in patients with HS across participant health centers.
DOI: 10.17632/ysrvywcnsd
title: From Diet to Neurodegeneration: Non-protein Amino Acid AZE as an Environmental Trigger Activating Genetic Susceptibility in C9orf72-ALS Pathogenesis

description: From Diet to Neurodegeneration: Non-protein Amino Acid AZE as an Environmental Trigger Activating Genetic Susceptibility in C9orf72-ALS Pathogenesis
DOI: 10.17632/ysrvywcnsd.1
title: From Diet to Neurodegeneration: Non-protein Amino Acid AZE as an Environmental Trigger Activating Genetic Susceptibility in C9orf72-ALS Pathogenesis

description: From Diet to Neurodegeneration: Non-protein Amino Acid AZE as an Environmental Trigger Activating Genetic Susceptibility in C9orf72-ALS Pathogenesis
DOI: 10.17632/zsvpykjs32.1
title: Stochastic Optimization of Hybrid Wind-Solar-Hydro System Configuration Under Spatiotemporal Heterogeneity and Climate Uncertainty：Datasets and Supplementary Materials

description: This dataset comprises comprehensive data to support research in WSH-OPT modeling. It primarily includes the following components:
***************************************************************************************************************

1、ERA5 Hourly Meteorological Data (1940-2022):
Format: NetCDF (.nc)
Content: This file contains ERA5 hourly reanalysis meteorological data spanning from 1940 to 2022. The data is associated with the specific locations of planned wind and photovoltaic (PV) power plants, providing crucial meteorological variable inputs for wind and solar resource assessment and power generation modeling.

2、Clustering Analysis of Power Plants within the River Basin: Script: clustering_fuzzyCmeans.py
Description: This Python script implements the Fuzzy C-means clustering algorithm. It is used to perform spatial clustering of all planned wind and PV power plants within the river basin.
Method: The optimal number of clusters is determined by calculating the Xie-Beni index, ensuring an optimal balance between cluster compactness and separation.

3、Clustering Results :pv_clustering_details.txt &wind_clustering_details.txt
Description: This text file details the results of the Fuzzy C-means clustering performed on the wind and PV power plants.
Content: It includes the central coordinates (longitude and latitude) of each cluster and the number of power stations within that cluster. Based on the file content, the PV power plants were grouped into 6 clusters and the wind power plants were grouped into 7 clusters. 

4、Wind and Solar Power Generation Scenario Generation Model:Script: CVAE.py
Description: This Python script implements a Conditional Variational Autoencoder (CVAE) model.
Purpose: The model is designed to learn the time-series characteristics of wind and solar power generation. It can generate diverse and statistically representative power output scenarios conditioned on specific factors (e.g., month). This is crucial for studies such as power system planning and reliability assessment.

5、Hydropower Runoff Data:
Please note that hydropower runoff data is not included in this dataset due to confidentiality restrictions.
DOI: 10.17632/vcngn54zmh
title: Sex Discourse Slang

description: This contains sex slang collected from undergraduates at the University of Nigeria, Nsukka. The students mask the vulgarity associated with sex words by adopting refined terms.
DOI: 10.17632/vcngn54zmh.1
title: Sex Discourse Slang

description: This contains sex slang collected from undergraduates at the University of Nigeria, Nsukka. The students mask the vulgarity associated with sex words by adopting refined terms.
DOI: 10.5281/zenodo.15333898
title: Dataset for "Discovering Robust Metal-Organic Frameworks with Open Copper Sites for Precombustion CO2 Capture: Data-Efficient Exploration and Exploitation by Active Learning"

description: Dataset for "Discovering Robust Metal-Organic Frameworks with Open Copper Sites for Precombustion CO2 Capture: Data-Efficient Exploration and Exploitation by Active Learning"
DOI: 10.5281/zenodo.15333899
title: Dataset for "Discovering Robust Metal-Organic Frameworks with Open Copper Sites for Precombustion CO2 Capture: Data-Efficient Exploration and Exploitation by Active Learning"

description: Dataset for "Discovering Robust Metal-Organic Frameworks with Open Copper Sites for Precombustion CO2 Capture: Data-Efficient Exploration and Exploitation by Active Learning"
DOI: 10.5281/zenodo.15362404
title: Dataset for "Discovering Robust Metal-Organic Frameworks with Open Copper Sites for Precombustion CO2 Capture: Data-Efficient Exploration and Exploitation by Active Learning"

description: Dataset for "Discovering Robust Metal-Organic Frameworks with Open Copper Sites for Precombustion CO2 Capture: Data-Efficient Exploration and Exploitation by Active Learning"
DOI: 10.17632/n2gsjb3vk3.1
title: Good and bad classification of apple

description: Sure! Here's a concise data description within 3000 characters for a project titled "Good and Bad Classification of Apples":


---

Project Title: Good and Bad Classification of Apples

Data Description:

The dataset used in this project is centered around the classification of apples into two categories: good (fit for sale/consumption) and bad (damaged, rotten, or otherwise unfit). The dataset comprises images of apples collected under controlled as well as natural conditions, and optionally, corresponding annotations or metadata.

1. Data Types:

Image Data: The primary data consists of RGB images of individual apples.

Labels: Each image is labeled as either “good” or “bad”.

Optional Metadata (if available):

Time of capture

Lighting condition

Apple variety

Temperature or humidity readings at the time of image capture



2. Image Characteristics:

Resolution: Images range from 224x224 to 512x512 pixels.

Background: Mixture of plain (controlled lab settings) and complex (orchard or market environments).

Lighting: Includes both natural and artificial lighting.

Angle and Orientation: Varies to simulate real-world usage scenarios in sorting systems.


3. Good Apples:

Visually appealing

No visible bruises, rot, or mold

Uniform shape and color

Examples might show apples with minimal surface blemishes or minor imperfections


4. Bad Apples:

Presence of:

Mold

Bruising

Cuts or cracks

Discoloration or rot


Some may be partially decomposed

Often irregular in shape or visibly damaged


5. Sources:

Agricultural research datasets

Custom image captures from farms or marketplaces

Open-source image repositories with suitable licensing (e.g., Creative Commons)


6. Data Split:

Training set: 70%

Validation set: 15%

Test set: 15%

Stratified to ensure balanced class representation across splits


7. Preprocessing:

Image resizing and normalization

Data augmentation (flipping, rotation, brightness/contrast adjustments) to increase model robustness

Optional noise filtering and background removal to improve focus on the apple surface


8. Use Cases:

Automated sorting systems in agriculture

Quality control for fruit suppliers and supermarkets

Educational tools for machine learning in agricultural contexts



---

Let me know if you’d like to include technical details about models or preprocessing pipelines as well.
DOI: 10.17632/g962rbm77b
title: Underwater_crack

description: Underwater Crack Image Dataset
DOI: 10.17632/g962rbm77b.1
title: Underwater_crack

description: Underwater Crack Image Dataset
DOI: 10.17632/ypc5d397ff.1
title: Dataset on velocity fields around single and interacting particles sinking in aqueous xanthan gum solutions

description: This dataset contains (1) 2D2C velocity fields around spheres sinking in dispersions of xanthan gum (XG) in distilled water (2) shear and extensional rheological characteristics of these non-Newtonian dispersions. Experiments comprised two test solutions containing 0.75 and 1.25 g/L of XG. The settling of three types of spheres was examined in a settling column using Particle Image Velocimetry (PIV).
DOI: 10.17632/c2fkkypbff.1
title: Extreme water levels within Greater Bay Area

description: This dataset offers comprehensive estimates of 200-year and 300-year return levels for extreme high-water events along the Lingdingyang-Humen Inlet-Shiziyang tidal channel system in the Greater Bay Area, derived through both Generalized Extreme Value (GEV) and max-stable modeling approaches. It encompasses four key hydrodynamic components: extreme measured water level (EMWL), maximum storm surge (MSS), and extreme skew surge (ESS), with coverage extending to both gauged and ungauged monitoring stations. Furthermore, the dataset incorporates optimized return level estimates of extreme measured water level (EMWL) that account for the evolving morphodynamic processes in the study area.
DOI: 10.17632/28wnpbb68n.1
title: Code

description: About Clustering Algorithms in Pre-Architectural Design: A Case Studies of Museum Buildings
DOI: 10.15468/dl.uz3yme
title: Occurrence Download

description: A dataset containing 999031 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Ghana",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 999031 records from 755 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028108-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v3t758727j.1
title: Multi-sphere rigid-body particles in a parallelized LEBC with LIGGGHTS

description: A method for the Message Passing Interface (MPI) parallelization of the Lees-Edwards boundary condition (LEBC) within the LIGGGHTS framework for multi-sphere rigid particles was created, allowing for the simulation of very detailed complex shapes. Double-send and double-receive communication was added to LIGGGHTS to allow for shared information across disjointed processor domains along the shearing boundary of the LEBC. The verification of this method is performed via 3D shearing simulations of single spheres and sphere clumps and rods with aspect ratios 2, 4, and 6. The predicted shear stress employing the new parallelized LEBC method matches stress values from granular kinetic theory and previously published simulation results. No LEBC simulations for DEM or multi-sphere rigid particles are known to be parallelized, allowing for computationally difficult LEBC multi-sphere simulations to be performed for the first time.
DOI: 10.17632/4jmxwgtw4h.1
title: Temporal Dynamics of Motor Imagery Comparing Accuracy for Human and Robot Actions: Stimuli and Data

description: This study explored motor imagery of robotic versus human actions using a temporal judgment task.

Participants observed videos of actions performed by either a human or a NAO robot and then performed motor imagery of the observed action until a stop signal interrupted them. Subsequently, they completed a two-alternative forced choice task to identify the frame corresponding to their imagery stop point. The choice was between the correct frame and either a preceding ('Before') or succeeding ('After') frame. 

The availability of the participants’ motor system was also manipulated by comparing performance when their dominant arm was free versus restrained.

Results revealed higher accuracy for robotic actions compared to human actions. Furthermore, a systematic bias towards 'After' incorrect frames emerged, suggesting an accelerated nature of motor imagery. Crucially, the enhanced accuracy for robotic actions was primarily evident for 'After' incorrect frames, indicating that the predictability of robot movements may facilitate temporal precision, especially in the later stages of motor imagery. Arm restraint did not significantly modulate performance. 

These findings challenge simplistic embodied simulation accounts and underscore the role of action predictability and cognitive strategies in shaping the temporal dynamics of motor imagery, offering novel insights into human-robot interaction and potential implications for motor rehabilitation strategies.
DOI: 10.6084/m9.figshare.28936931
title: Thematic and group-focused participatory budgets in Poland (2014–2024)

description: The database includes data on the implementations of thematic and group-focused participatory budgets introduced by Polish municipalities in the years 2014–2024. The dataset includes also some preliminary data for the first qurarter of the year 2025.
DOI: 10.5281/zenodo.15395462
title: Deciphering the beliefs embedded in the design of megalithic monuments Dowth, Knowth, Newgrange Sites including an interpretation of Irish Mythology

description: This study follows on from the paper "Deciphering the beliefs embedded in the design of megalithic constructions", published on 06/Oct/2023, which confirmed the similarity in the orientation of the corridors inside some ceremonial megalithic monuments and identified the earth magnetic disturbances generated by the Carnac alignments.

 This new study includes research on the following topics:

·        The orientation of the corridors of the passage tombs {Newgrange, Knowth, Dowth},

·        An interpretation of parts of Irish mythology concerning celestial events and related spiritual beliefs,

·        Some azimuths provided by the Drombeg Stone Circle and the disturbances caused to the earth's magnetic field, 

·        Finding connections between the Maltese temples and the Boyne site.

 The study deciphers and demonstrates that

 



Irish mythology provides information about celestial events and spiritual beliefs,

Neolithic architecture would alter the local magnetic field of the earth, and the effect of which would have been used in ceremonies performed by shamans,

Newgrange is a ceremonial site where the main events took place at the winter solstice, which was visually identified,

The corridors of Dowth are aligned with the setting of the Moon, and the corridors of Knowth with the setting and rising of the Sun, allowing specific celestial events to be observed


·        Neolithic people established a process with Dowth and Knowth to predict lunar standstill periods, lunar eclipses, solar eclipses and the possibility of synchronising the lunar and solar calendars.



Dowth, Knowth and Newgrange are part of a series of ceremonies that take place at Dowth, then at Knowth and finally at Newgrange,

The Irish mythology conveys a Neolithic belief similar to the principles and phases of alchemy to enhance the human personality.
DOI: 10.5281/zenodo.15395463
title: Deciphering the beliefs embedded in the design of megalithic monuments Dowth, Knowth, Newgrange Sites including an interpretation of Irish Mythology

description: This study follows on from the paper "Deciphering the beliefs embedded in the design of megalithic constructions", published on 06/Oct/2023, which confirmed the similarity in the orientation of the corridors inside some ceremonial megalithic monuments and identified the earth magnetic disturbances generated by the Carnac alignments.

 This new study includes research on the following topics:

·        The orientation of the corridors of the passage tombs {Newgrange, Knowth, Dowth},

·        An interpretation of parts of Irish mythology concerning celestial events and related spiritual beliefs,

·        Some azimuths provided by the Drombeg Stone Circle and the disturbances caused to the earth's magnetic field, 

·        Finding connections between the Maltese temples and the Boyne site.

 The study deciphers and demonstrates that

 



Irish mythology provides information about celestial events and spiritual beliefs,

Neolithic architecture would alter the local magnetic field of the earth, and the effect of which would have been used in ceremonies performed by shamans,

Newgrange is a ceremonial site where the main events took place at the winter solstice, which was visually identified,

The corridors of Dowth are aligned with the setting of the Moon, and the corridors of Knowth with the setting and rising of the Sun, allowing specific celestial events to be observed


·        Neolithic people established a process with Dowth and Knowth to predict lunar standstill periods, lunar eclipses, solar eclipses and the possibility of synchronising the lunar and solar calendars.



Dowth, Knowth and Newgrange are part of a series of ceremonies that take place at Dowth, then at Knowth and finally at Newgrange,

The Irish mythology conveys a Neolithic belief similar to the principles and phases of alchemy to enhance the human personality.
DOI: 10.17632/8z56gr7tcz.1
title: Multivariate Long-Term Time Series Forecasting

description: Multivariate Long-Term Time Series Forecasting: See *.zip file
DOI: 10.17632/7p6v4d2z8v.1
title: Supplementary files for "Human Papillomavirus Infection Increases Risk of New-Onset Prurigo Nodularis: A Multi-Center Retrospective Cohort Study Using Global and US Electronic Medical Records of TriNetX network"

description: This is the Mendeley Supplementary File (including eMethods, Supplementary Tables and Supplementary Figures) of the study entitled "Human Papillomavirus Infection Increases Risk of New-Onset Prurigo Nodularis: A Multi-Center Retrospective Cohort Study Using Global and US Electronic Medical Records of TriNetX network" by Shuo-Yan Gau, Shao-Wei Lo, Yung-Fang Tu, Wen-Chieh Liao, Yu-Jung Su, Hui-Chin Chang, Torsten Zuberbier, Martin Metz and Shiu-Jau Chen for publication in the Journal of the American Academy of Dermatology.