cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7jeakq
title: Occurrence Download

description: A dataset containing 4663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-105.957561 35.040763, -105.999562 35.092639, -106.066734 35.092639, -106.024707 35.040763, -105.957561 35.040763))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2015",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4663 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043769-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.29980
title: A dataset for accurate X-ray single photon recognition algorithm based on multidimensional features and positive sample-unlabeled learning
title: 基于多维特征与正样本-无标签学习的X射线单光子精确识别算法数据集

description: This dataset provides example observations acquired with a CMOS sensor under two exposure times: 50 ms and 100 ms. For each exposure setting, it includes bright-field images, dark-field images, bright-field images processed using multidimensional feature-based photon event selection, and those processed with a conventional thresholding method. All images are stored in .npz format for efficient loading and processing in Python. This dataset can be used for research on single-photon event extraction algorithms, thresholding methods, and the impact of exposure time on detector performance.
description: This dataset provides example observations acquired with a CMOS sensor under two exposure times: 50 ms and 100 ms. For each exposure setting, it includes bright-field images, dark-field images, bright-field images processed using multidimensional feature-based photon event selection, and those processed with a conventional thresholding method. All images are stored in .npz format for efficient loading and processing in Python. This dataset can be used for research on single-photon event extraction algorithms, thresholding methods, and the impact of exposure time on detector performance.
DOI: 10.5281/zenodo.17875956
title: AI, Work & Human Identity 2025 (Dataset, n=507)

description: This dataset is part of the Human Clarity Institute’s AI–Human Experience 2025 data series. It examines how workers experience identity, purpose, value, and control in an AI-integrated workplace, including perceptions of work centrality to self-identity, purpose despite increasing AI use, and concerns about job security and fairness.

The dataset includes:• validated 1–7 Likert-scale items• measures of identity centrality, perceived purpose, control over AI use, fairness, openness about AI concerns, and anxiety regarding AI-driven job displacement• behavioural indicators including AI usage frequency at work and self-reported openness about expressing AI-related concerns• multi-select variables stored as canonical semicolon-delimited snake_case tokens• open-text reflections with minimal safe cleaning (trim + newline removal only)• demographic variables across six English-speaking countries• digital life exposure (daily hours online) and AI-tool usage frequency

Data were collected on the 12th November 2025 via Prolific from adults in the UK, US, Australia, Canada, New Zealand, and Ireland.All data were cleaned, anonymised, and processed under the Human Clarity Institute’s machine-readable dataset protocol, which includes:

• canonical snake_case variable naming• validated numeric ranges• standardised multi-select formats• minimal safe text cleaning• full alignment with the accompanying data dictionary• removal of Prolific IDs and timestamps• SHA-256 checksums for all files

This dataset contributes to understanding how workers form and maintain identity, value, and purpose under increasing AI adoption, supporting longitudinal tracking of workforce adaptation, human–AI coexistence, and shifting psychological relationships with workplace technology.
DOI: 10.6084/m9.figshare.30846287
title: Supplementary Material for: Dermatofibroma with hypopigmented Meyerson halo: case report and review of non-melanocytic hosts

description: Meyerson phenomenon denotes a perilesional, classically eczematous halo around a pre-existing lesion, most often melanocytic. Non-melanocytic halos are uncommon and can mimic regression in a melanocytic lesion, including melanoma, leading to urgent referrals. We report a 37-year-old woman with a "mole with a halo" on her arm. Examination revealed a 5-mm pink papule with a thin whitish collarette and a faint, ill-defined hypopigmented ring. Dermoscopy showed a structureless pink center with a pinpoint crust and delicate collarette, but no pigment network or organized vascular pattern. Excisional biopsy revealed a dermal spindle-cell proliferation characteristic of dermatofibroma; the diagnosis was confirmed by negative SOX10 and positive Factor XIIIa staining. Notably, there was no spongiotic perilesional dermatitis. A targeted literature review confirmed the rarity of halos around dermatofibromas, which are typically eczematous. Our case expands the clinicopathologic spectrum to include a hypopigmented, non-eczematous Meyerson-like (“forme-fruste”) halo variant and supports a dermoscopy-first approach to avoid over-triage to melanoma and help streamline care.
DOI: 10.6084/m9.figshare.30846287.v1
title: Supplementary Material for: Dermatofibroma with hypopigmented Meyerson halo: case report and review of non-melanocytic hosts

description: Meyerson phenomenon denotes a perilesional, classically eczematous halo around a pre-existing lesion, most often melanocytic. Non-melanocytic halos are uncommon and can mimic regression in a melanocytic lesion, including melanoma, leading to urgent referrals. We report a 37-year-old woman with a "mole with a halo" on her arm. Examination revealed a 5-mm pink papule with a thin whitish collarette and a faint, ill-defined hypopigmented ring. Dermoscopy showed a structureless pink center with a pinpoint crust and delicate collarette, but no pigment network or organized vascular pattern. Excisional biopsy revealed a dermal spindle-cell proliferation characteristic of dermatofibroma; the diagnosis was confirmed by negative SOX10 and positive Factor XIIIa staining. Notably, there was no spongiotic perilesional dermatitis. A targeted literature review confirmed the rarity of halos around dermatofibromas, which are typically eczematous. Our case expands the clinicopathologic spectrum to include a hypopigmented, non-eczematous Meyerson-like (“forme-fruste”) halo variant and supports a dermoscopy-first approach to avoid over-triage to melanoma and help streamline care.
DOI: 10.6084/m9.figshare.30846290
title: Supplementary Material for: A Case of Coats Disease Diagnosed During Amblyopia Treatment

description: • Introduction: Coats disease is a rare, non-hereditary retinal disorder, and early detection and treatment are crucial for preserving visual function. This case report details a pediatric case where Coats disease was diagnosed during follow-up for amblyopia.
• Case Presentation: An 8-year-old boy with a history of bilateral hyperopic amblyopia and right congenital ptosis underwent eyeglass and occlusion therapy starting at age 2. By age 4, he had achieved good visual acuity. At a routine follow-up 4 years later, fundus examination revealed exudative lesions in the left macula. Optical coherence tomography (OCT) showed macular hyperreflective lesions and the thickened choroid in his left eye, leading to a diagnosis of Coats disease. The patient was treated with retinal photocoagulation. Ten months after treatment, his visual acuity remained stable, and a follow-up OCT showed a reduction in the hyperreflective lesions in the outer macular layers.
• Conclusion: Routine dilated fundus examinations and OCT-based retro-choroidal morphology for anisometropic amblyopia facilitated early detection and timely intervention for Coats disease, which lacks overt symptoms in its early stages. This case highlights the importance of retinal monitoring in amblyopic eyes to preserve visual function.
DOI: 10.6084/m9.figshare.30846290.v1
title: Supplementary Material for: A Case of Coats Disease Diagnosed During Amblyopia Treatment

description: • Introduction: Coats disease is a rare, non-hereditary retinal disorder, and early detection and treatment are crucial for preserving visual function. This case report details a pediatric case where Coats disease was diagnosed during follow-up for amblyopia.
• Case Presentation: An 8-year-old boy with a history of bilateral hyperopic amblyopia and right congenital ptosis underwent eyeglass and occlusion therapy starting at age 2. By age 4, he had achieved good visual acuity. At a routine follow-up 4 years later, fundus examination revealed exudative lesions in the left macula. Optical coherence tomography (OCT) showed macular hyperreflective lesions and the thickened choroid in his left eye, leading to a diagnosis of Coats disease. The patient was treated with retinal photocoagulation. Ten months after treatment, his visual acuity remained stable, and a follow-up OCT showed a reduction in the hyperreflective lesions in the outer macular layers.
• Conclusion: Routine dilated fundus examinations and OCT-based retro-choroidal morphology for anisometropic amblyopia facilitated early detection and timely intervention for Coats disease, which lacks overt symptoms in its early stages. This case highlights the importance of retinal monitoring in amblyopic eyes to preserve visual function.
DOI: 10.6084/m9.figshare.30846293
title: Supplementary Material for: Botulinum toxin underuse in older stroke survivors with spasticity: a nationwide population-based cohort study

description: Introduction: While botulinum toxin type A (BoNT-A) is effective for poststroke spasticity, its accessibility in older adults remains unclear. We aimed to examine the association between BoNT-A use and age among stroke survivors.
Methods: This nationwide, population-based, retrospective cohort study analyzed data from the French National Hospital Discharge Database. Stroke survivors admitted between 2014 and 2016 were followed until 2020. BoNT-A use was assessed across different age groups (18–64, 65–74, 75–84, ≥85 years). Multivariable logistic regression was performed to examine the association between BoNT-A use and age, adjusting for potential confounders, including sex, comorbidities, stroke unit hospitalization, and rehabilitation.
Results: BoNT-A use was reported in 1,757 (2.88%), 862 (0.99%), and 183 (0.22%) of 60,928, 86,917, and 82,725 stroke survivors aged 65–74, 75–84, and ≥85 years, respectively. These rates were significantly lower than BoNT-A use in those aged &lt;65 years (5.13%) (p&lt;0.001). After adjustment, the inverse relationship between age and BoNT-A use was maintained, demonstrating an age-dependent association in the 65–74, 75–84, and ≥85 age groups versus 18–64 years. Odds ratios (ORs) (95% confidence intervals [CIs]) were 0.49 (0.47–0.53), 0.18 (0.17–0.19), and 0.05 (0.04–0.06), respectively. Stroke unit stays (OR, 1.33; 95% CI, 1.26–1.41) and neurological rehabilitation unit stays (OR, 16.69; 95% CI, 15.59–17.87) were significantly associated with a higher probability of receiving BoNT-A.
Conclusions: BoNT-A use is notably low in older stroke survivors, highlighting the need to enhance equitable access to BoNT-A injections for this population.
DOI: 10.6084/m9.figshare.30846293.v1
title: Supplementary Material for: Botulinum toxin underuse in older stroke survivors with spasticity: a nationwide population-based cohort study

description: Introduction: While botulinum toxin type A (BoNT-A) is effective for poststroke spasticity, its accessibility in older adults remains unclear. We aimed to examine the association between BoNT-A use and age among stroke survivors.
Methods: This nationwide, population-based, retrospective cohort study analyzed data from the French National Hospital Discharge Database. Stroke survivors admitted between 2014 and 2016 were followed until 2020. BoNT-A use was assessed across different age groups (18–64, 65–74, 75–84, ≥85 years). Multivariable logistic regression was performed to examine the association between BoNT-A use and age, adjusting for potential confounders, including sex, comorbidities, stroke unit hospitalization, and rehabilitation.
Results: BoNT-A use was reported in 1,757 (2.88%), 862 (0.99%), and 183 (0.22%) of 60,928, 86,917, and 82,725 stroke survivors aged 65–74, 75–84, and ≥85 years, respectively. These rates were significantly lower than BoNT-A use in those aged &lt;65 years (5.13%) (p&lt;0.001). After adjustment, the inverse relationship between age and BoNT-A use was maintained, demonstrating an age-dependent association in the 65–74, 75–84, and ≥85 age groups versus 18–64 years. Odds ratios (ORs) (95% confidence intervals [CIs]) were 0.49 (0.47–0.53), 0.18 (0.17–0.19), and 0.05 (0.04–0.06), respectively. Stroke unit stays (OR, 1.33; 95% CI, 1.26–1.41) and neurological rehabilitation unit stays (OR, 16.69; 95% CI, 15.59–17.87) were significantly associated with a higher probability of receiving BoNT-A.
Conclusions: BoNT-A use is notably low in older stroke survivors, highlighting the need to enhance equitable access to BoNT-A injections for this population.
DOI: 10.6084/m9.figshare.30846296
title: Supplementary Material for: Standardizing the Management of Alopecia Areata: results from a Delphi Panel of Italian Experts

description: Introduction Alopecia areata (AA), a chronic autoimmune condition with variable severity of clinical presentation, affects patients' quality of life (QoL). In Italy, a lack of awareness and standardized practices contributes to inconsistent patient care. 
Methods This study aimed to develop a consensus on the diagnosis, management, and treatment of AA among Italian dermatologists, using the Delphi technique.
Twenty dermatologists participated in the tailored Delphi. The questionnaire covering diagnosis, management, and treatment approach, was developed by a steering committee and validated by five validators before administration. Statements were evaluated on a 5-point Likert scale, with consensus defined as ≥70% agreement.
Results All statements achieved the agreement threshold in the first round. Key practices were the need for comprehensive diagnostic evaluation, trichoscopy use, and assessment of autoimmune comorbidities. Management approaches emphasized empathetic communication, QoL assessment, and multidisciplinary collaboration. Treatment strategies prioritized individualized approaches based on the Severity of Alopecia Tool score, disease activity, and patient-specific factors. Systemic therapies were recommended with SALT ≥50 and active/worsening disease.
Conclusions The study proposes a framework for standardizing AA care in Italy, with attention to patient-centered and personalized approaches. This work provides practical guidance for improving diagnostic and management of AA, while addressing its psychosocial impact.
DOI: 10.6084/m9.figshare.30846296.v1
title: Supplementary Material for: Standardizing the Management of Alopecia Areata: results from a Delphi Panel of Italian Experts

description: Introduction Alopecia areata (AA), a chronic autoimmune condition with variable severity of clinical presentation, affects patients' quality of life (QoL). In Italy, a lack of awareness and standardized practices contributes to inconsistent patient care. 
Methods This study aimed to develop a consensus on the diagnosis, management, and treatment of AA among Italian dermatologists, using the Delphi technique.
Twenty dermatologists participated in the tailored Delphi. The questionnaire covering diagnosis, management, and treatment approach, was developed by a steering committee and validated by five validators before administration. Statements were evaluated on a 5-point Likert scale, with consensus defined as ≥70% agreement.
Results All statements achieved the agreement threshold in the first round. Key practices were the need for comprehensive diagnostic evaluation, trichoscopy use, and assessment of autoimmune comorbidities. Management approaches emphasized empathetic communication, QoL assessment, and multidisciplinary collaboration. Treatment strategies prioritized individualized approaches based on the Severity of Alopecia Tool score, disease activity, and patient-specific factors. Systemic therapies were recommended with SALT ≥50 and active/worsening disease.
Conclusions The study proposes a framework for standardizing AA care in Italy, with attention to patient-centered and personalized approaches. This work provides practical guidance for improving diagnostic and management of AA, while addressing its psychosocial impact.
DOI: 10.15468/dl.xrprnf
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Harmothoe hirsuta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 59 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043771-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30846299
title: Supplementary Material for: Real-world data on switches of the employment status in people with multiple sclerosis: a longitudinal observational study of the German MS Register

description: Introduction: Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system affecting 2.9 million people worldwide. MS symptom variety can have a significant impact on the economic and occupational participation of people with MS (pwMS). The objective of this study was to investigate the trends in the employment (EMP) status change of pwMS over a two-year period and to identify the associated sociodemographic, clinical and symptom-specific factors. 

Methods: The present longitudinal observational study analysed real-world registry data from pwMS characterised by ≥1 documented data set during 2014–2023, an age of 18–60 years, ≥2 data sets during a two-year period (±2 months) and a documented EMP status change. The transition from EMP to non-employment (NEMP) or vice versa within a two-year period was investigated during two visits: baseline (pre-transition) and follow-up (post-transition). Univariable and multivariable logistic regression models were utilised to identify associated variables. 

Results: The study population (N=940) was classified into NEMP-to-EMP patients (n=269) and EMP-to-NEMP patients (n=671). EMP-to-NEMP patients were found to be older in median (45.6 vs. 39.3 years) and more likely to have chronic progressive MS at baseline (14.2% vs. 4.8%) than NEMP-to-EMP patients. Moderate/severe disability level emerged as the most robust predictor of EMP-to-NEMP switches (odds ratio [OR]=1.89, p=0.005). Pain (baseline: OR=1.96, p=0.017; follow-up: OR=5.57, p=0.025) and cognitive impairment (baseline: OR=1.78, p=0.048; follow-up: OR=10.47, p=0.005) were significant symptomatic predictors of EMP-to-NEMP transitions. 

Conclusion: The results emphasise the particular importance of pain and cognitive impairment as independent symptomatic predictors, whose impact on work ability may be underestimated.
DOI: 10.6084/m9.figshare.30846299.v1
title: Supplementary Material for: Real-world data on switches of the employment status in people with multiple sclerosis: a longitudinal observational study of the German MS Register

description: Introduction: Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system affecting 2.9 million people worldwide. MS symptom variety can have a significant impact on the economic and occupational participation of people with MS (pwMS). The objective of this study was to investigate the trends in the employment (EMP) status change of pwMS over a two-year period and to identify the associated sociodemographic, clinical and symptom-specific factors. 

Methods: The present longitudinal observational study analysed real-world registry data from pwMS characterised by ≥1 documented data set during 2014–2023, an age of 18–60 years, ≥2 data sets during a two-year period (±2 months) and a documented EMP status change. The transition from EMP to non-employment (NEMP) or vice versa within a two-year period was investigated during two visits: baseline (pre-transition) and follow-up (post-transition). Univariable and multivariable logistic regression models were utilised to identify associated variables. 

Results: The study population (N=940) was classified into NEMP-to-EMP patients (n=269) and EMP-to-NEMP patients (n=671). EMP-to-NEMP patients were found to be older in median (45.6 vs. 39.3 years) and more likely to have chronic progressive MS at baseline (14.2% vs. 4.8%) than NEMP-to-EMP patients. Moderate/severe disability level emerged as the most robust predictor of EMP-to-NEMP switches (odds ratio [OR]=1.89, p=0.005). Pain (baseline: OR=1.96, p=0.017; follow-up: OR=5.57, p=0.025) and cognitive impairment (baseline: OR=1.78, p=0.048; follow-up: OR=10.47, p=0.005) were significant symptomatic predictors of EMP-to-NEMP transitions. 

Conclusion: The results emphasise the particular importance of pain and cognitive impairment as independent symptomatic predictors, whose impact on work ability may be underestimated.
DOI: 10.5281/zenodo.17807227
title: AI, Work & Human Identity Survey 2025 (Dataset)

description: This dataset is part of the Human Clarity Institute’s AI–Human Experience Data Series. It measures how adults in paid employment experience shifts in identity, meaning, agency, purpose, and relevance as AI becomes integrated into daily work.

The dataset includes:• validated 1–7 Likert-scale items• validated 1–10 wellbeing items• AI usage and exposure measures• emerging identity and purpose indicators• open-text reflections on AI’s impact on self-concept• demographic and role-related variables

Data were collected via Prolific in 2025 from employed adults across the UK, US, Canada, Australia, Ireland, and New Zealand. All data were cleaned, anonymised, and verified according to the Human Clarity Institute’s open-data publication protocol.

This dataset contributes to understanding how AI reshapes human identity in the modern workplace, providing foundational data for longitudinal tracking of AI’s psychological and behavioural effects.