cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16947200
title: Whole genome sequencing analysis of clonal hematopoiesis phenotypes - Part 2
DOI: 10.15468/dl.gjwszz
title: Occurrence Download

description: A dataset containing 259137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Prinia subflava (Gmelin, 1789)"
 ]
}

 The dataset includes 259137 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001022-250424135625364/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.28868594
title: Gender and Neuropsychological Profiles Using Graphological Analysis_ PI Sheet and IC Form

description: Participation Information Sheet and Informed Consent Form used in this study.
DOI: 10.15468/dl.2ew3wa
title: Occurrence Download

description: A dataset containing 615601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Cinclus cinclus (Linnaeus, 1758)"
 ]
}

 The dataset includes 615601 records from 903 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001015-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/68vkig
title: Identification and quantitation of key odorants in mead

description: Identification and quantitation of key aroma compounds present in polish traditional mead „trójniak” using gas chromatography-olfactometry and gas chromatography-mass spectrometry in mead and intermediate production stages (bee honey, 1st day of fermentation, 30th day of fermentation).Project context: The project focuses on investigating key odorants in mead, the possible pathways of their formation, and the changes in their concentrations during the production process. It also examines the influence of different honey varieties, fermentation types, and manufacturing processes.Sofware used: ChromSpace (SRA Instruments Spa, Italy), Xcalibur (Thermo Fisher Scientific, Dreieich, Germany), LECO ChromaTOF v.4.44 (LECO, Mönchengladbach, Germany), Agilent Technologies MassHunter Workstation (Agilent, Waldbronn, Germany), Microsoft Excel (Microsoft Corporation, Redmond, Washington, USA).Files included: the dataset consist on 12 files: odor reconstitution.csv and odor reconstitution.xlsx (data collected during the odor reconstitution experiments); Odorants identification in mead.csv and; Odorants identification in mead.xlsx (odor-active compounds, their CAS numbers and odor descriptions, Retention Indices, Flavor Dilution Factors, and identification methods collected during the identification of odorants by using gas chromatography olfactometry and gas chromatography mass spectrometry); Odorants quantitation in mead.csv and Odorants quantitation in mead.xlsx (concentrations of odor-active compounds in mead and in the production stages); Omission experiments.csv and Omission experiments.xml (data collected in triangle sensory tests during omission experiments); Profile Sensory Analysis data.csv and Profile Sensory Analysis data.xlsx (data collected during Quantitative Profile Sensory Analysis in mead); Quantitation details.csv and Quantitation details.xlsx (details of the quantitation: isotopically labeled standards used in quantitation, quantifier ions, calibration line equations, R2). Files Quantitation details are supplementary material for file Odorants quantitation and should be used together.Abbreviations: F.30, F.1,-1st and 30th day of fermentation, endings _01, _02 and _03 indicates the repetition.Dataset contains a ReadMe.txt file.
DOI: 10.15468/dl.9yyb7r
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Occurrence evidence)",
 "Depth 500.0-9999.0m",
 "Geometry POLYGON((90 0,180 0,180 70,90 70,90 0))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aristeidae"
 ]
}

 The dataset includes 69 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013609-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cu5krz
title: Occurrence Download

description: A dataset containing 6810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Citrus ×aurantium f. deliciosa (Ten.) M.Hiroe, Citrus ×tachibana (Makino) Yu.Tanaka, Citrus ×aurantiifolia (Christm.) Swingle, Citrus ×aurantium L., Citrus ×aurantium subsp. aurantium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6810 records from 454 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003848-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jcbef
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "GadmGid is RUS.45_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Elytrigia repens"
 ]
}

 The dataset includes 82 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002325-260120142942310/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.31111873
title: A machine learning model to predict the severity of road traffic injury based on aberrant driving behaviors and driver characteristics

description: Road traffic injuries remain a leading cause of mortality and disability worldwide, especially in low- and middle-income countries. This study aimed to develop and validate a machine-learning model to predict road traffic injury severity, using aberrant driving behaviors as measured by the Manchester Driver Behavior Questionnaire, along with demographic and driving exposure variables. We conducted a secondary analysis of a dataset including 800 drivers. Participants were categorized into three road traffic injury severity classes: no injury (<i>n</i> = 400), mild injury (<i>n</i> = 200), and severe or fatal injury (<i>n</i> = 200). The Boruta feature selection algorithm was applied to confirm predictor relevance. An XGBoost classification model was trained and tuned through 10-fold cross-validation. Model performance was evaluated using multiclass AUC, accuracy, F1 score, and class-specific diagnostic indices. The optimized XGBoost model achieved a multiclass AUC of 0.886 and an overall accuracy of 74.4%. Sensitivity was highest for predicting no injury (0.883), while specificity peaked for the severe/fatal injury class (0.910). The most influential predictors included crash history, education level, and daily driving hours. Among behavioral variables, slips and deliberate violations emerged as meaningful contributors to injury severity predictions. Integrating psychological constructs from the Driver Behavior Questionnaire with demographic and exposure data provides predictive accuracy in injury severity models. Our behavior-informed framework offers a practical and theoretically grounded tool for identifying high-risk drivers and informing targeted road safety interventions.
DOI: 10.6084/m9.figshare.31111873.v1
title: A machine learning model to predict the severity of road traffic injury based on aberrant driving behaviors and driver characteristics

description: Road traffic injuries remain a leading cause of mortality and disability worldwide, especially in low- and middle-income countries. This study aimed to develop and validate a machine-learning model to predict road traffic injury severity, using aberrant driving behaviors as measured by the Manchester Driver Behavior Questionnaire, along with demographic and driving exposure variables. We conducted a secondary analysis of a dataset including 800 drivers. Participants were categorized into three road traffic injury severity classes: no injury (<i>n</i> = 400), mild injury (<i>n</i> = 200), and severe or fatal injury (<i>n</i> = 200). The Boruta feature selection algorithm was applied to confirm predictor relevance. An XGBoost classification model was trained and tuned through 10-fold cross-validation. Model performance was evaluated using multiclass AUC, accuracy, F1 score, and class-specific diagnostic indices. The optimized XGBoost model achieved a multiclass AUC of 0.886 and an overall accuracy of 74.4%. Sensitivity was highest for predicting no injury (0.883), while specificity peaked for the severe/fatal injury class (0.910). The most influential predictors included crash history, education level, and daily driving hours. Among behavioral variables, slips and deliberate violations emerged as meaningful contributors to injury severity predictions. Integrating psychological constructs from the Driver Behavior Questionnaire with demographic and exposure data provides predictive accuracy in injury severity models. Our behavior-informed framework offers a practical and theoretically grounded tool for identifying high-risk drivers and informing targeted road safety interventions.
DOI: 10.15468/dl.j9zeje
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Perdix perdix)",
 "Year is one of (2020, 2021, 2022, 2023, 2024)",
 "DecimalLatitude is greater than or equal to 49.93222657137567",
 "DecimalLatitude is less than or equal to 50.14557407126429",
 "DecimalLongitude is greater than or equal to 10.019266876108597",
 "DecimalLongitude is less than or equal to 10.497817533935098",
 "Year is not null",
 "HasCoordinate is TRUE",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)"
 ]
}

 The dataset includes 312 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002326-260120142942310/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.28423477
title: A characterization of state transfer on double subdivided stars

description: A subdivided star SK1,l is obtained by identifying exactly one pendant vertex from <i>l</i> copies of the path P3. We consider the existence of quantum state transfer on double subdivided star Tl,m which is a pair of subdivided stars SK1,l and SK1,m joined by an edge to the respective coalescence vertices. We provide a complete characterization of double subdivided stars exhibiting pretty good state transfer. Although there is no perfect state transfer on double subdivided stars, we find perfect pair state transfer on Tl,m considering the adjacency matrix as the Hamiltonian of the corresponding quantum system.
DOI: 10.6084/m9.figshare.28423477.v1
title: A characterization of state transfer on double subdivided stars

description: A subdivided star SK1,l is obtained by identifying exactly one pendant vertex from <i>l</i> copies of the path P3. We consider the existence of quantum state transfer on double subdivided star Tl,m which is a pair of subdivided stars SK1,l and SK1,m joined by an edge to the respective coalescence vertices. We provide a complete characterization of double subdivided stars exhibiting pretty good state transfer. Although there is no perfect state transfer on double subdivided stars, we find perfect pair state transfer on Tl,m considering the adjacency matrix as the Hamiltonian of the corresponding quantum system.
DOI: 10.6084/m9.figshare.28491944
title: Cospectral graphs obtained by edge deletion

description: We show how to construct graphs which are simultaneously cospectral with respect to several symmetric matrices that encode adjacency. Our main operation consists of locating cliques in highly regular graphs (for example, strongly regular graphs) and removing edges in distinct ways preserving the spectrum of the adjacency, Laplacian, unsigned Laplacian, and normalized Laplacian matrix. We also provide a more general construction of Laplacian cospectral graphs. This has applications in Laplacian state transfer in the study of quantum information transfer.
DOI: 10.6084/m9.figshare.28491944.v1
title: Cospectral graphs obtained by edge deletion

description: We show how to construct graphs which are simultaneously cospectral with respect to several symmetric matrices that encode adjacency. Our main operation consists of locating cliques in highly regular graphs (for example, strongly regular graphs) and removing edges in distinct ways preserving the spectrum of the adjacency, Laplacian, unsigned Laplacian, and normalized Laplacian matrix. We also provide a more general construction of Laplacian cospectral graphs. This has applications in Laplacian state transfer in the study of quantum information transfer.
DOI: 10.15468/dl.hjtawe
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-78.687 1.911181, -78.757302 1.905612, -78.82587100000001 1.889045, -78.891019 1.861886, -78.95114 1.824805, -79.00475299999999 1.778716, -79.050538 1.724754, -79.087369 1.664249, -79.114339 1.59869, -79.130785 1.529692, -79.136302 1.458955, -79.130757 1.38822, -79.11428600000001 1.319229, -79.08729700000001 1.253679, -79.050453 1.193186, -79.00466299999999 1.139238, -78.951054 1.093162, -78.890946 1.056094, -78.825818 1.028945, -78.757274 1.012384, -78.687 1.006817, -78.616726 1.012384, -78.548182 1.028945, -78.483054 1.056094, -78.422946 1.093162, -78.369337 1.139238, -78.323547 1.193186, -78.286703 1.253679, -78.259714 1.319229, -78.24324300000001 1.38822, -78.23769799999999 1.458955, -78.24321500000001 1.529692, -78.25966099999999 1.59869, -78.286631 1.664249, -78.32346200000001 1.724754, -78.369247 1.778716, -78.42286 1.824805, -78.482981 1.861886, -78.548129 1.889045, -78.616698 1.905612, -78.687 1.911181))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 648 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002328-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.12397.24800
title: "Digital Rupee as a Catalyst for Financial Innovation: Rethinking Money, Markets, and Management in India"
DOI: 10.15468/dl.uwpq7g
title: Occurrence Download

description: A dataset containing 32987 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Perdix perdix)",
 "Year is one of (2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024)",
 "DecimalLatitude is greater than or equal to 47.53364139636112",
 "DecimalLatitude is less than or equal to 54.8769089978912",
 "DecimalLongitude is greater than or equal to 6.033629",
 "DecimalLongitude is less than or equal to 15.037743",
 "Year is not null",
 "HasCoordinate is TRUE",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE",
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)"
 ]
}

 The dataset includes 32987 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002327-260120142942310/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.31111396
title: 磁共振代谢组学数据集:比较瘦和超重代谢相关性脂肪性肝炎（MASLD）患者血清脂蛋白亚类特征的研究

description: 本研究使用先进的磁共振代谢组学技术系统地比较了瘦和超重代谢相关性脂肪性肝炎（MASLD）患者的血清脂蛋白谱，首次揭示了这两种临床亚型在亚洲人群中的基本分子差异。研究发现，瘦MASLD的病理核心可能与高密度脂蛋白（HDL）亚类的功能障碍和缺乏密切相关，并伴有独特的全身代谢异常；而超重MASLD的主要特征是低密度和极低密度脂蛋白 （LDL/VLDL） 亚类的显著升高，遵循更经典的代谢综合征模式。这项工作不仅为理解瘦MASLD被忽视的亚型提供了新的机制视角，还通过识别特定的脂蛋白生物标志物，为未来的精确诊断和个性化治疗疾病亚型奠定了重要的科学基础。
DOI: 10.6084/m9.figshare.31111396.v1
title: 磁共振代谢组学数据集:比较瘦和超重代谢相关性脂肪性肝炎（MASLD）患者血清脂蛋白亚类特征的研究

description: 本研究使用先进的磁共振代谢组学技术系统地比较了瘦和超重代谢相关性脂肪性肝炎（MASLD）患者的血清脂蛋白谱，首次揭示了这两种临床亚型在亚洲人群中的基本分子差异。研究发现，瘦MASLD的病理核心可能与高密度脂蛋白（HDL）亚类的功能障碍和缺乏密切相关，并伴有独特的全身代谢异常；而超重MASLD的主要特征是低密度和极低密度脂蛋白 （LDL/VLDL） 亚类的显著升高，遵循更经典的代谢综合征模式。这项工作不仅为理解瘦MASLD被忽视的亚型提供了新的机制视角，还通过识别特定的脂蛋白生物标志物，为未来的精确诊断和个性化治疗疾病亚型奠定了重要的科学基础。
DOI: 10.15468/dl.87dnwq
title: Occurrence Download

description: A dataset containing 13207 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Murraya paniculata"
 ]
}

 The dataset includes 13207 records from 415 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002329-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18324140
title: High-sugar driven microbial dynamics in spontaneous fermentations of Lebanese cooked wines

description: Traditional Lebanese cooked wines are produced by boiling grapes to concentrate it, creating an extreme environment marked by high sugar levels where fermentation occurs spontaneously. This study investigated the microbial dynamics and chemical changes occurring in seven fermentations of cooked must from four wineries. This is the supplementary material related for this paper which is submitted to International Journal of Food Microbiology.
DOI: 10.5281/zenodo.18324139
title: High-sugar driven microbial dynamics in spontaneous fermentations of Lebanese cooked wines

description: Traditional Lebanese cooked wines are produced by boiling grapes to concentrate it, creating an extreme environment marked by high sugar levels where fermentation occurs spontaneously. This study investigated the microbial dynamics and chemical changes occurring in seven fermentations of cooked must from four wineries. This is the supplementary material related for this paper which is submitted to International Journal of Food Microbiology.
DOI: 10.15468/dl.4rsnpn
title: Occurrence Download

description: A dataset containing 7333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Picea mariana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 7333 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002331-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18325261
title: Dataset: Environmental assessment of prosumer digitalization: The case of virtual pooling of PV battery storage systems

description: This dataset contains the assumptions and LCA calculations for the published article "Environmental assessment of prosumer digitalization: The case of virtual pooling of PV battery storage systems" by H. Bluhm and S. Gährs (doi: 10.1016/j.est.2022.106487).
DOI: 10.5281/zenodo.18325262
title: Dataset: Environmental assessment of prosumer digitalization: The case of virtual pooling of PV battery storage systems

description: This dataset contains the assumptions and LCA calculations for the published article "Environmental assessment of prosumer digitalization: The case of virtual pooling of PV battery storage systems" by H. Bluhm and S. Gährs (doi: 10.1016/j.est.2022.106487).
DOI: 10.6084/m9.figshare.29150499
title: Meta-analysis for Alterations of IFN-γ, TNF-α and granzyme B levels in vitiligo patients

description: Vitiligo is a chronic autoimmune skin depigmenting condition. IFN-γ, TNF-α and granzyme B play key roles in vitiligo pathogenesis, some findings suggest their roles may be contradictory. We aimed to assess IFN-γ, TNF-α and granzyme B levels in blood and skin of vitiligo patients using a meta-analysis approach. Additionally, we evaluated their association with disease activity. A Meta-analysis was conducted using Review Manager 5.4 software. A total of 55 studies including 3,023 vitiligo patients and 2,534 controls were included in the study. Pooled results from our meta-analysis indicated significantly elevated IFN-γ protein and transcript levels in blood and skin of vitiligo patients (<i>p</i> &lt; 0.05). TNF-α protein levels were also significantly increased in blood and skin of vitiligo patients (<i>p</i> &lt; 0.05). IFN-γ and TNF-α levels were significantly higher in the lesional skin as compared to non-lesional skin (<i>p</i> &lt; 0.05). Furthermore, elevated levels of IFN-γ and TNF-α were observed in patients with active vitiligo (<i>p</i> &lt; 0.05). Additionally, our study suggested a significant increase in granzyme B levels in vitiligo patients (<i>p</i> &lt; 0.05). Overall, the meta-analysis suggests that IFN-γ, TNF-α and granzyme B play a crucial role in vitiligo pathogenesis and progression and may serve as potential therapeutic targets for managing the disease. The PROSPERO registration no. for meta-analysis is CRD42024620274
DOI: 10.6084/m9.figshare.29150499.v2
title: Meta-analysis for Alterations of IFN-γ, TNF-α and granzyme B levels in vitiligo patients

description: Vitiligo is a chronic autoimmune skin depigmenting condition. IFN-γ, TNF-α and granzyme B play key roles in vitiligo pathogenesis, some findings suggest their roles may be contradictory. We aimed to assess IFN-γ, TNF-α and granzyme B levels in blood and skin of vitiligo patients using a meta-analysis approach. Additionally, we evaluated their association with disease activity. A Meta-analysis was conducted using Review Manager 5.4 software. A total of 55 studies including 3,023 vitiligo patients and 2,534 controls were included in the study. Pooled results from our meta-analysis indicated significantly elevated IFN-γ protein and transcript levels in blood and skin of vitiligo patients (<i>p</i> &lt; 0.05). TNF-α protein levels were also significantly increased in blood and skin of vitiligo patients (<i>p</i> &lt; 0.05). IFN-γ and TNF-α levels were significantly higher in the lesional skin as compared to non-lesional skin (<i>p</i> &lt; 0.05). Furthermore, elevated levels of IFN-γ and TNF-α were observed in patients with active vitiligo (<i>p</i> &lt; 0.05). Additionally, our study suggested a significant increase in granzyme B levels in vitiligo patients (<i>p</i> &lt; 0.05). Overall, the meta-analysis suggests that IFN-γ, TNF-α and granzyme B play a crucial role in vitiligo pathogenesis and progression and may serve as potential therapeutic targets for managing the disease. The PROSPERO registration no. for meta-analysis is CRD42024620274