cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30009756
title: Pediatric asthma population risk stratification using k-means clustering

description: Incorporating social determinants of health to identify distinct pediatric asthma patient groups can help stratify populations by their risk of adverse events, improving targeted outreach and care. Insurance claims and enrollment data from the Arkansas All-Payer Claims Database identified 22 169 children aged 5–18 years with an asthma diagnosis in 2018 and continuous Medicaid enrollment in 2018 and 2019. The clustering approach used information on comorbid conditions, asthma controller medication intensity, total controller and reliever medications filled, zip code-level Child Opportunity Index, and rural-urban classification. Binary and categorical variables were first transformed into continuous latent variables using Generalized Low-Rank Models. K-means clustering with Euclidean distance was then applied. The resulting clusters were compared based on asthma-related emergency department (ED) visits and hospitalizations in 2018. K-means clustering identified six clusters. The distribution of ED visits differed significantly across the clusters (<i>p</i> &lt; 0.001) with Cluster 1 having the highest observed percentages (1 ED visit: 9.5%; ≥2 ED visits: 2.6%). This cluster consisted of 65.9% Black and had the highest proportion of children residing in neighborhoods with very low child opportunity scores: 90.5% had very low education scores, 85.5% very low health and environment scores, and 94.4% very low social and economic scores. Interventions to reduce pediatric asthma disparities should address social, economic, and environmental inequities. Clustering identified children from low child opportunity areas in Arkansas, with a high percentage of Black children, as a high-risk group for asthma exacerbations, underscoring the potential of population risk stratification for tailoring interventions.
DOI: 10.6084/m9.figshare.30009756.v2
title: Pediatric asthma population risk stratification using k-means clustering

description: Incorporating social determinants of health to identify distinct pediatric asthma patient groups can help stratify populations by their risk of adverse events, improving targeted outreach and care. Insurance claims and enrollment data from the Arkansas All-Payer Claims Database identified 22 169 children aged 5–18 years with an asthma diagnosis in 2018 and continuous Medicaid enrollment in 2018 and 2019. The clustering approach used information on comorbid conditions, asthma controller medication intensity, total controller and reliever medications filled, zip code-level Child Opportunity Index, and rural-urban classification. Binary and categorical variables were first transformed into continuous latent variables using Generalized Low-Rank Models. K-means clustering with Euclidean distance was then applied. The resulting clusters were compared based on asthma-related emergency department (ED) visits and hospitalizations in 2018. K-means clustering identified six clusters. The distribution of ED visits differed significantly across the clusters (<i>p</i> &lt; 0.001) with Cluster 1 having the highest observed percentages (1 ED visit: 9.5%; ≥2 ED visits: 2.6%). This cluster consisted of 65.9% Black and had the highest proportion of children residing in neighborhoods with very low child opportunity scores: 90.5% had very low education scores, 85.5% very low health and environment scores, and 94.4% very low social and economic scores. Interventions to reduce pediatric asthma disparities should address social, economic, and environmental inequities. Clustering identified children from low child opportunity areas in Arkansas, with a high percentage of Black children, as a high-risk group for asthma exacerbations, underscoring the potential of population risk stratification for tailoring interventions.
DOI: 10.6084/m9.figshare.30073827
title: Circulating inflammatory proteins as causal drivers and therapeutic targets in asthma: insights from genetic and pathway-based analyses

description: To identify circulating inflammatory proteins with potential causal roles in asthma development through integrated genetic and pathway-based analyses, and to evaluate their potential as therapeutic targets. We used genetically anchored instrumental variables from 180 protein quantitative trait loci (pQTLs) to assess the causal effects of 91 circulating inflammatory proteins on asthma risk, using large-scale GWAS datasets. Analytical robustness was evaluated through pleiotropy and heterogeneity testing. Functional enrichment and literature-based pathway analyses were performed to support biological plausibility and validate findings. Four proteins showed significant causal effects on asthma: CCL19 and LIFR were protective (OR = 0.89 and 0.91, <i>p</i> ≤ 6.8E-03), while ARTN and IL6 were associated with increased risk (OR = 1.15 and 1.18, <i>p</i> ≤ 1.1E-04). We also identified reverse causal effects of asthma on 11 cytokines, including MMP10, TGFB1, IL33, and IL18R1. Most of these proteins were enriched in pathways related to cytokine signaling and immune response (<i>p</i> &lt; 0.001). All identified proteins had prior literature support linking them to asthma or airway inflammation. Our findings highlight a subset of circulating inflammatory proteins that are likely causal in asthma pathogenesis and may serve as promising targets for therapeutic intervention. These results offer novel insights into the immunological mechanisms underlying asthma and support the utility of genetic causal inference in target prioritization.
DOI: 10.6084/m9.figshare.30073827.v1
title: Circulating inflammatory proteins as causal drivers and therapeutic targets in asthma: insights from genetic and pathway-based analyses

description: To identify circulating inflammatory proteins with potential causal roles in asthma development through integrated genetic and pathway-based analyses, and to evaluate their potential as therapeutic targets. We used genetically anchored instrumental variables from 180 protein quantitative trait loci (pQTLs) to assess the causal effects of 91 circulating inflammatory proteins on asthma risk, using large-scale GWAS datasets. Analytical robustness was evaluated through pleiotropy and heterogeneity testing. Functional enrichment and literature-based pathway analyses were performed to support biological plausibility and validate findings. Four proteins showed significant causal effects on asthma: CCL19 and LIFR were protective (OR = 0.89 and 0.91, <i>p</i> ≤ 6.8E-03), while ARTN and IL6 were associated with increased risk (OR = 1.15 and 1.18, <i>p</i> ≤ 1.1E-04). We also identified reverse causal effects of asthma on 11 cytokines, including MMP10, TGFB1, IL33, and IL18R1. Most of these proteins were enriched in pathways related to cytokine signaling and immune response (<i>p</i> &lt; 0.001). All identified proteins had prior literature support linking them to asthma or airway inflammation. Our findings highlight a subset of circulating inflammatory proteins that are likely causal in asthma pathogenesis and may serve as promising targets for therapeutic intervention. These results offer novel insights into the immunological mechanisms underlying asthma and support the utility of genetic causal inference in target prioritization.
DOI: 10.57745/xwrljy
title: compatibility_SelfEfficacyHeterogeneous.tab

description: :unav
DOI: 10.6084/m9.figshare.30009756.v1
title: Pediatric Asthma Population Risk Stratification using k-Means Clustering

description: Incorporating social determinants of health to identify distinct pediatric asthma patient groups can help stratify populations by their risk of adverse events, improving targeted outreach and care. Insurance claims and enrollment data from the Arkansas All-Payer Claims Database identified 22 169 children aged 5-18 years with an asthma diagnosis in 2018 and continuous Medicaid enrollment in 2018 and 2019. The clustering approach used information on comorbid conditions, asthma controller medication intensity, total controller and reliever medications filled, zip code-level Child Opportunity Index, and rural-urban classification. Binary and categorical variables were first transformed into continuous latent variables using Generalized Low-Rank Models. K-means clustering with Euclidean distance was then applied. The resulting clusters were compared based on asthma-related emergency department (ED) visits and hospitalizations in 2018. K-means clustering identified six clusters. The distribution of ED visits differed significantly across the clusters (p &lt; 0.001) with Cluster 1 having the highest observed percentages (1 ED visit: 9.5%; ≥2 ED visits: 2.6%). This cluster consisted of 65.9% Black and had the highest proportion of children residing in neighborhoods with very low child opportunity scores: 90.5% had very low education scores, 85.5% very low health and environment scores, and 94.4% very low social and economic scores. Interventions to reduce pediatric asthma disparities should address social, economic, and environmental inequities. Clustering identified children from low child opportunity areas in Arkansas, with a high percentage of Black children, as a high-risk group for asthma exacerbations, underscoring the potential of population risk stratification for tailoring interventions.
DOI: 10.57745/ioqatl
title: work_distribution_ProgrammingExperienceHomogeneous.tab

description: :unav
DOI: 10.5281/zenodo.18328682
title: Xanthoxalis stricta  (L.) Small. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18328683
title: Xanthoxalis stricta  (L.) Small. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.57745/1wc6jv
title: compatibility_EngagmentHomogeneous.tab

description: :unav
DOI: 10.57745/w5vq8k
title: work_distribution_EngagmentHeterogeneous.tab

description: :unav
DOI: 10.57745/bi1mks
title: engagement_EngagmentHeterogeneous.tab

description: :unav
DOI: 10.57745/6qrub8
title: engagement_SelfEfficacyHomogeneous.tab

description: :unav
DOI: 10.5281/zenodo.18328679
title: Zappania nodiflora (L.) Lam. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.57745/jejwg8
title: work_distribution_GenderHomogeneous.tab

description: :unav
DOI: 10.57745/wlw0ns
title: compatibility_GenderHomogeneous.tab

description: :unav
DOI: 10.15468/pvn4c9
title: Two new species of Epoligosita Girault (Hymenoptera: Trichogrammatidae) with a key to Indian species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ikram, Mohsin, Yousuf, Mohammad, Khan, Salman (2025): Two new species of Epoligosita Girault (Hymenoptera: Trichogrammatidae) with a key to Indian species. Zootaxa 5717 (4): 579-584, DOI: 10.11646/zootaxa.5717.4.6, URL: https://doi.org/10.11646/zootaxa.5717.4.6AbstractTwo new species of Epoligosita Girault (Hymenoptera: Trichogrammatidae), E. breviclavata Ikram & Yousuf sp. nov. and E. latipennis is Ikram & Yousuf sp. nov. are described from India. A key to Indian species of Epoligosita Girault is also provided.
DOI: 10.5281/zenodo.18328678
title: Zappania nodiflora (L.) Lam. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.57745/x2uaca
title: grades_SelfEfficacyHomogeneous.tab

description: :unav
DOI: 10.57745/oxnzzx
title: compatibility_ProgrammingExperienceHeterogeneous.tab

description: :unav
DOI: 10.57745/rt5l9k
title: grades_EngagmentHomogeneous.tab

description: :unav
DOI: 10.57745/uxwlvy
title: compatibility_ProgrammingExperienceHomogeneous.tab

description: :unav
DOI: 10.6084/m9.figshare.31114796
title: Data Science Education in U.S. Informal Learning Environments: A Review of the Literature

description: This systematic review examines data science education in U.S. informal learning environments through analysis of 20 studies. Our analysis reveals the landscape of this emerging field. Our findings highlight three critical dimensions shaping informal DSE: the methodological and theoretical diversity of the field; the interplay of people, practices, and places; and emerging design principles and pedagogical approaches. Effective programs integrate technical skills with critical perspectives, connect to personally meaningful contexts, and position learners as knowledge producers rather than consumers. We identify several promising approaches, including critical data literacies, personal data exploration, data storytelling, embodied learning, and youth positioning as data agents. Yet, implementation challenges persist: literacy barriers, data complexity, equity gaps between intentions and practice, and limited assessment frameworks constrain the field's ability to scale these innovations. Despite intentional efforts, notable gaps remain in rural, early childhood, and disability contexts. Critical approaches examining power and representation show promise for marginalized communities. Beyond technical recommendations, we argue for reconceptualizing data literacy toward collective sovereignty and assessment frameworks valuing transformative outcomes. Informal learning environments can serve not merely as preparation for existing data systems but as spaces for imagining and enacting more just alternatives that challenge power structures in data science education.
DOI: 10.6084/m9.figshare.31114796.v1
title: Data Science Education in U.S. Informal Learning Environments: A Review of the Literature

description: This systematic review examines data science education in U.S. informal learning environments through analysis of 20 studies. Our analysis reveals the landscape of this emerging field. Our findings highlight three critical dimensions shaping informal DSE: the methodological and theoretical diversity of the field; the interplay of people, practices, and places; and emerging design principles and pedagogical approaches. Effective programs integrate technical skills with critical perspectives, connect to personally meaningful contexts, and position learners as knowledge producers rather than consumers. We identify several promising approaches, including critical data literacies, personal data exploration, data storytelling, embodied learning, and youth positioning as data agents. Yet, implementation challenges persist: literacy barriers, data complexity, equity gaps between intentions and practice, and limited assessment frameworks constrain the field's ability to scale these innovations. Despite intentional efforts, notable gaps remain in rural, early childhood, and disability contexts. Critical approaches examining power and representation show promise for marginalized communities. Beyond technical recommendations, we argue for reconceptualizing data literacy toward collective sovereignty and assessment frameworks valuing transformative outcomes. Informal learning environments can serve not merely as preparation for existing data systems but as spaces for imagining and enacting more just alternatives that challenge power structures in data science education.
DOI: 10.57745/or0yuf
title: grades_GenderHeterogeneous.tab

description: :unav
DOI: 10.57745/to1sqp
title: engagement_ProgrammingExperienceHeterogeneous.tab

description: :unav
DOI: 10.57745/x4aluf
title: work_distribution_EngagmentHomogeneous.tab

description: :unav
DOI: 10.57745/nv3iuh
title: Dataset for an experiment in group formation for distributed pair programming

description: Data collected during a distributed pair programming experiment conducted with first year university students in computer science lab sessions. The data originates from both self-reported data and traces data. The data (anonymized) consists in : the perceived compatibility, perceived work distribution, grades and engagement for all pairs of student in each experimental groups The questionnaires used to measure programming experience (pre-test), self-efficacy (pre-test), perceived compatibility (post-test) and perceived work distribution (post-test)
DOI: 10.15468/dl.y5b59j
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxybelis potosiensis"
 ]
}

 The dataset includes 488 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002773-260120142942310/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.31114812
title: Bilateral Papillitis and Unilateral Central Serous Retinopathy Associated with Dabrafenib and Trametinib Use in Metastatic Cutaneous Melanoma

description: Targeted BRAF/MEK inhibitor therapies have improved survival outcomes for patients with BRAF V600-positive cutaneous melanoma. However, rare neuro-ophthalmic complications attributed to these therapies warrant heightened clinical vigilance. We describe a distinct case of bilateral optic disc oedema and unilateral central serous chorioretinopathy induced by dabrafenib and trametinib in a 79-year-old male undergoing treatment for metastatic cutaneous melanoma. Three months after starting BRAF/MEK inhibitor therapy, the patient developed progressive, painless central vision loss OD and transient blurry vision OS. Clinical examination excluded uveitis and conditions such as Vogt-Koyanagi Harada syndrome, while contrast-enhanced magnetic resonance imaging revealed no optic nerve or chiasm abnormalities. Following prompt discontinuation of dabrafenib and trametinib, along with the initiation of oral prednisone, the patient’s visual acuity significantly improved over three weeks, accompanied by resolution of optic disc oedema. At two months of follow-up, visual acuity remained stable, with complete resolution of optic disc oedema and no symptom recurrence. This case emphasises the importance of early recognition, prompt drug discontinuation, and timely corticosteroid administration to optimise visual prognosis in this setting.
DOI: 10.6084/m9.figshare.31114812.v1
title: Bilateral Papillitis and Unilateral Central Serous Retinopathy Associated with Dabrafenib and Trametinib Use in Metastatic Cutaneous Melanoma

description: Targeted BRAF/MEK inhibitor therapies have improved survival outcomes for patients with BRAF V600-positive cutaneous melanoma. However, rare neuro-ophthalmic complications attributed to these therapies warrant heightened clinical vigilance. We describe a distinct case of bilateral optic disc oedema and unilateral central serous chorioretinopathy induced by dabrafenib and trametinib in a 79-year-old male undergoing treatment for metastatic cutaneous melanoma. Three months after starting BRAF/MEK inhibitor therapy, the patient developed progressive, painless central vision loss OD and transient blurry vision OS. Clinical examination excluded uveitis and conditions such as Vogt-Koyanagi Harada syndrome, while contrast-enhanced magnetic resonance imaging revealed no optic nerve or chiasm abnormalities. Following prompt discontinuation of dabrafenib and trametinib, along with the initiation of oral prednisone, the patient’s visual acuity significantly improved over three weeks, accompanied by resolution of optic disc oedema. At two months of follow-up, visual acuity remained stable, with complete resolution of optic disc oedema and no symptom recurrence. This case emphasises the importance of early recognition, prompt drug discontinuation, and timely corticosteroid administration to optimise visual prognosis in this setting.
DOI: 10.7273/000007826
title: Supplemental Ca applications did not reduce bitter pit in ‘Honeycrisp’ apples under Ca-sufficient

description: Data set for 2019 trial on Ca applications on bitter pit in Honeycrisp apples.
DOI: 10.15468/dl.8a47tv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.695 1.698182, 117.624707 1.692614, 117.556145 1.676046, 117.491004 1.648888, 117.43089 1.611808, 117.377281 1.56572, 117.331499 1.511759, 117.294671 1.451254, 117.267702 1.385696, 117.251256 1.316699, 117.245737 1.245961, 117.25128 1.175226, 117.267747 1.106234, 117.294733 1.040684, 117.331572 0.98019, 117.377358 0.926241, 117.430963 0.8801639999999999, 117.491066 0.843095, 117.55619 0.815945, 117.62473 0.799383, 117.695 0.793817, 117.76527 0.799383, 117.83381 0.815945, 117.898934 0.843095, 117.959037 0.8801639999999999, 118.012642 0.926241, 118.058428 0.98019, 118.095267 1.040684, 118.122253 1.106234, 118.13872 1.175226, 118.144263 1.245961, 118.138744 1.316699, 118.122298 1.385696, 118.095329 1.451254, 118.058501 1.511759, 118.012719 1.56572, 117.95911 1.611808, 117.898996 1.648888, 117.833855 1.676046, 117.765293 1.692614, 117.695 1.698182))"},{"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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002775-260120142942310/datasets/export for details.
DOI: 10.18112/openneuro.ds007067.v2.0.0
title: spine_fMRI_7T
DOI: 10.15468/dl.hzxum5
title: Occurrence Download

description: A dataset containing 564 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxybelis koehleri"
 ]
}

 The dataset includes 564 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002774-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jnuy3w
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.2407 49.69405,-2.14893 49.69405,-2.14893 49.74034,-2.2407 49.74034,-2.2407 49.69405))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco peregrinus"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002776-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8smsn
title: Occurrence Download

description: A dataset containing 252505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alnus incana)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is Europe"
 ]
}

 The dataset includes 252505 records from 654 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002752-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.