cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mwch4j
title: Occurrence Download

description: A dataset containing 4147 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Cynometra cauliflora L.",
 "TaxonKey is Cynomys leucurus Merriam, 1890",
 "TaxonKey is Cynomys ludovicianus (Ord, 1815)",
 "TaxonKey is Cynops pyrrhogaster (Boie, 1826)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4147 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012543-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh6p3j
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen"
 ]
 },
 "Country is Kenya",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Salvadora persica L.",
 "Year 1930-2021"
 ]
}

 The dataset includes 85 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0221383-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpw7ga
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is El Salvador",
 "TaxonKey is Leopardus wiedii (Schinz, 1821)"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043908-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jx9hvh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea antucoana Uline ex R.Knuth"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012543-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ae9ugp
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-18.19748 27.61054,-17.85965 27.61054,-17.85965 27.89978,-18.19748 27.89978,-18.19748 27.61054))",
 "HasGeospatialIssue is false",
 "TaxonKey is Hedera canariensis Willd."
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0324414-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s42z5b
title: Occurrence Download

description: A dataset containing 1860 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pheugopedius eisenmanni (T.A.Parker & O'Neill, 1985)"
 ]
}

 The dataset includes 1860 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194566-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6t9ap
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 {
 "or" : [
 "Country is Japan",
 "Country is China",
 "Country is Korea, Republic of",
 "Country is Korea (Democratic People’s Republic of)",
 "Country is Russian Federation"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepisorus ussuriensis (Regel & Mack.) Ching"
 ]
}

 The dataset includes 568 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325348-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.39f2np
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Syzygium neurocalyx (A.Gray) Christoph."
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008176-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em9tk1
title: Occurrence Download

description: A dataset containing 174650 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Cynosurus cristatus L."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 174650 records from 416 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012544-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j873b3
title: Occurrence Download

description: A dataset containing 471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Honduras",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Scrophulariaceae",
 "TaxonKey is Sapindaceae"
 ]
 }
 ]
}

 The dataset includes 471 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0213903-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gi883e
title: Occurrence Download

description: A dataset containing 4529 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elaeis guineensis Jacq."
 ]
}

 The dataset includes 4529 records from 146 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012544-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrmbtt
title: Occurrence Download

description: A dataset containing 1234 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tulipa clusiana DC."
 ]
}

 The dataset includes 1234 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009129-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t98tey
title: Occurrence Download

description: A dataset containing 940 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrurus dumerilii Jan, 1858"
 ]
}

 The dataset includes 940 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012546-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4s5xv
title: Occurrence Download

description: A dataset containing 96 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "TaxonKey is Gypaetus barbatus (Linnaeus, 1758)"
 ]
}

 The dataset includes 96 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012544-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wqvkp
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Mexico",
 "Country is Guatemala",
 "Country is Honduras",
 "Country is El Salvador",
 "Country is Belize",
 "Country is Nicaragua"
 ]
 },
 "TaxonKey is Tabebuia donnell-smithii Rose"
 ]
}

 The dataset includes 112 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194577-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qy8ue8
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Inia geoffrensis (Blainville, 1817)"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230817-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6csvys
title: Occurrence Download

description: A dataset containing 12407 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus dulcis (Mill.) D.A.Webb"
 ]
}

 The dataset includes 12407 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238750-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbtybp
title: Occurrence Download

description: A dataset containing 241265 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus petraea (Matt.) Liebl."
 ]
}

 The dataset includes 241265 records from 627 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009137-210819072339941/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.30334081
title: Data_Time

description: Timespent
DOI: 10.6084/m9.figshare.30334081.v1
title: Data_Time

description: Timespent
DOI: 10.25346/s6eecgix/8oml7d
title: msXV_007v_65_44.jpg
DOI: 10.15468/dl.6bprrv
title: Occurrence Download

description: A dataset containing 6096 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lophostemon suaveolens)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6096 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006741-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/gtnzur
title: msXV_007v_65_43.jpg
DOI: 10.25346/s6eecgix/yxgsmm
title: msXV_007v_65_42.jpg
DOI: 10.25346/s6eecgix/xwonam
title: msXV_007v_65_41.jpg
DOI: 10.25346/s6eecgix/4wje4l
title: msXV_007v_65_40.jpg
DOI: 10.25346/s6eecgix/cyxwiz
title: msXV_007v_65_39.jpg
DOI: 10.25346/s6eecgix/vxgayy
title: msXV_007v_65_38.jpg
DOI: 10.25346/s6eecgix/qnxhpg
title: msXV_007v_65_37.jpg
DOI: 10.25346/s6eecgix/yuhwtj
title: msXV_007v_47_36.jpg
DOI: 10.25346/s6eecgix/qqshof
title: msXV_007v_47_35.jpg
DOI: 10.25346/s6eecgix/wdvu0o
title: msXV_007v_47_34.jpg
DOI: 10.25346/s6eecgix/lfwudz
title: msXV_007v_47_33.jpg
DOI: 10.15468/dl.d9jj8h
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "OccurrenceStatus is Present",
 "TaxonKey is Panax vietnamensis",
 "Year 1970-2025"
 ]
}

 The dataset includes 44 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006742-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6eecgix/ryqias
title: msXV_007v_47_32.jpg
DOI: 10.25346/s6eecgix/ftexh9
title: msXV_007v_47_31.jpg
DOI: 10.25346/s6eecgix/zcpvqq
title: msXV_007v_47_30.jpg
DOI: 10.25346/s6eecgix/gl553b
title: msXV_007v_47_29.jpg
DOI: 10.25346/s6eecgix/hredlc
title: msXV_007v_47_28.jpg
DOI: 10.25346/s6eecgix/hfmxk5
title: msXV_007v_47_27.jpg
DOI: 10.25346/s6eecgix/0xtjrm
title: msXV_007v_47_26.jpg
DOI: 10.25346/s6eecgix/oxlaub
title: msXV_007v_47_25.jpg
DOI: 10.6084/m9.figshare.29257110
title: A Survey of Diagnostic and Management Practices in Retinal Vasculitis: International Uveitis Study Group (IUSG) Retinal Vasculitis Study (ReViSe)—Report 5

description: Retinal vasculitis (RV) is a complex inflammatory disorder of retinal blood vessels with variability in diagnosis, classification, and management. Despite efforts to standardize definitions, discrepancies persist regarding clinical features, systemic associations, and treatment approaches. This study aimed to assess clinical practices among uveitis specialists to identify areas requiring consensus. A cross-sectional, semi-structured survey was conducted among members of the International Uveitis Study Group (IUSG). Eligible participants were uveitis specialists with formal training in ocular inflammation. The survey included 120 questions on diagnosis, imaging, systemic associations, and management strategies. Responses were collected anonymously via REDCap (January to August 2024). Fifty-five specialists participated, mainly from Europe, Asia, and North America. Most rated their RV knowledge as “adequate” or “proficient.” While 85.5% agreed on a definition involving retinal vascular abnormalities with intraocular inflammation, variability persisted in diagnostic and management practices. Diagnostic testing prioritized infectious and systemic causes. Wide-field imaging and fluorescein angiography were commonly used. Methotrexate, mycophenolate, and adalimumab were preferred treatments. Treatment success was primarily defined by improvements in vascular leakage and macular edema. Monitoring practices and referral patterns varied. Substantial variability exists in RV diagnosis and management, highlighting the need for standardized clinical guidelines.
DOI: 10.6084/m9.figshare.29257110.v1
title: A Survey of Diagnostic and Management Practices in Retinal Vasculitis: International Uveitis Study Group (IUSG) Retinal Vasculitis Study (ReViSe)—Report 5

description: Retinal vasculitis (RV) is a complex inflammatory disorder of retinal blood vessels with variability in diagnosis, classification, and management. Despite efforts to standardize definitions, discrepancies persist regarding clinical features, systemic associations, and treatment approaches. This study aimed to assess clinical practices among uveitis specialists to identify areas requiring consensus. A cross-sectional, semi-structured survey was conducted among members of the International Uveitis Study Group (IUSG). Eligible participants were uveitis specialists with formal training in ocular inflammation. The survey included 120 questions on diagnosis, imaging, systemic associations, and management strategies. Responses were collected anonymously via REDCap (January to August 2024). Fifty-five specialists participated, mainly from Europe, Asia, and North America. Most rated their RV knowledge as “adequate” or “proficient.” While 85.5% agreed on a definition involving retinal vascular abnormalities with intraocular inflammation, variability persisted in diagnostic and management practices. Diagnostic testing prioritized infectious and systemic causes. Wide-field imaging and fluorescein angiography were commonly used. Methotrexate, mycophenolate, and adalimumab were preferred treatments. Treatment success was primarily defined by improvements in vascular leakage and macular edema. Monitoring practices and referral patterns varied. Substantial variability exists in RV diagnosis and management, highlighting the need for standardized clinical guidelines.
DOI: 10.6084/m9.figshare.30086284
title: Blood-based DNA methylation markers for autism spectrum disorder identification using machine learning

description: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder lacking objective biomarkers for early diagnosis. DNA methylation is a promising epigenetic marker, and machine learning offers a data-driven classification approach. However, few studies have examined whole-blood, genome-wide DNA methylation profiles for ASD diagnosis in school-aged children. We analyzed genome-wide DNA methylation data from GEO dataset GSE113967, including 52 children with ASD and 48 typically developing (TD) controls. Differentially methylated positions (DMPs) were identified, and feature selection was performed using support vector machine-recursive feature elimination with cross-validation (SVM-RFECV). Classification models were developed using random forest (RF), extreme gradient boosting (XGBoost), and decision tree (DT) classifiers. A nomogram visualized feature contributions. A total of 138 DMPs differentiated ASD from TD children. Eleven CpG sites selected by SVM-RFECV formed the basis for model construction. RF and XGBoost achieved the highest accuracy (75%), with DT reaching 70%. Functional annotation indicated enrichment in cell adhesion and immune-related pathways. This exploratory study demonstrates the feasibility of integrating peripheral blood DNA methylation data with machine learning to distinguish children with ASD. While limited by sample size and moderate accuracy, this study provides methodological insights into the feasibility of integrating epigenetic and computational approaches for ASD-related biomarker exploration. Autism spectrum disorder (ASD) is a condition that affects how children communicate, interact with others, and behave. Right now, doctors diagnose ASD by watching a child’s behavior, which can take time and delay early help. In this study, we looked at small chemical changes in the blood that may affect how genes work. These changes can sometimes show if a child has ASD. We used computer programs to find patterns in these changes that could help tell children with ASD apart from those without it. While the study included a small number of children and more research is needed, our results suggest that a simple blood test could one day help doctors detect ASD earlier and more accurately.
DOI: 10.6084/m9.figshare.30086284.v1
title: Blood-based DNA methylation markers for autism spectrum disorder identification using machine learning

description: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder lacking objective biomarkers for early diagnosis. DNA methylation is a promising epigenetic marker, and machine learning offers a data-driven classification approach. However, few studies have examined whole-blood, genome-wide DNA methylation profiles for ASD diagnosis in school-aged children. We analyzed genome-wide DNA methylation data from GEO dataset GSE113967, including 52 children with ASD and 48 typically developing (TD) controls. Differentially methylated positions (DMPs) were identified, and feature selection was performed using support vector machine-recursive feature elimination with cross-validation (SVM-RFECV). Classification models were developed using random forest (RF), extreme gradient boosting (XGBoost), and decision tree (DT) classifiers. A nomogram visualized feature contributions. A total of 138 DMPs differentiated ASD from TD children. Eleven CpG sites selected by SVM-RFECV formed the basis for model construction. RF and XGBoost achieved the highest accuracy (75%), with DT reaching 70%. Functional annotation indicated enrichment in cell adhesion and immune-related pathways. This exploratory study demonstrates the feasibility of integrating peripheral blood DNA methylation data with machine learning to distinguish children with ASD. While limited by sample size and moderate accuracy, this study provides methodological insights into the feasibility of integrating epigenetic and computational approaches for ASD-related biomarker exploration. Autism spectrum disorder (ASD) is a condition that affects how children communicate, interact with others, and behave. Right now, doctors diagnose ASD by watching a child’s behavior, which can take time and delay early help. In this study, we looked at small chemical changes in the blood that may affect how genes work. These changes can sometimes show if a child has ASD. We used computer programs to find patterns in these changes that could help tell children with ASD apart from those without it. While the study included a small number of children and more research is needed, our results suggest that a simple blood test could one day help doctors detect ASD earlier and more accurately.
DOI: 10.6084/m9.figshare.30093510
title: MicroRNAs signatures in small extracellular vesicles for psychological resilience in young adults using machine learning

description: Psychological resilience refers to an individual’s capacity to adapt to adverse events. MicroRNAs (miRNAs) play a crucial role in regulating post-transcriptional processes, while small extracellular vesicles (sEVs) act as transport vehicles. This study aimed to employ genome-wide profiling to identify and validate differences in the expression of resilience-associated sEV-miRNAs between low resilience (LR) and high resilience (HR) in young adults. Eighty participants were divided into LR or HR based on the Connor – Davidson Resilience Scale (CD-RISC). The expression levels of the target sEV-miRNAs in LR and HR were compared and analyzed. Expression analyses demonstrated significant differences in let-7b, miR-151b, miR-335, and miR-193a between LR and HR (<i>p</i> &lt; 0.01), with let-7b showing the highest discriminative ability. The AUC values for each sEV-miRNA ranged from 0.74 to 0.94, based on logistic regression and three machine learning models: random forest, support vector machine, and eXtreme gradient boosting. Based on leave-one-out cross-validation in different models, the combined four sEV-miRNAs demonstrated strong performance for detecting LR (AUC = 0.87–0.90). Sex-specific differences were also observed, with female participants showing more pronounced resilience signatures in targeted sEV-miRNAs. These findings suggest that sEV-miRNAs hold potential as biomarkers for psychological resilience in young adults. This study investigates the biological underpinnings of psychological resilience, the capacity of some young adults to adapt more effectively to stress than others. We scanned the entire set of genetic messages to find specific small molecules that regulate gene expression linked to how people handle stress. These specific molecules are packaged in tiny particles called small extracellular vesicles (sEVs), which protect them and help deliver them to other cells. Blood samples were collected from young adults with high or low resilience, based on a validated psychological scale. We then examined the levels of these specific molecules in the tiny particles. Four specific molecules showed significant differences between the groups. These specific molecules could help identify people with low resilience. We also used machine learning models to check and verify whether these specific molecules could distinguish low-resilience individuals. Notably, these specific molecules were more effective in females. The findings suggest that these specific molecules may have the potential to identify stress vulnerability and guide early psychological support strategies.