cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e82qbj
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplothrips aculeatus",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 42 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012859-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/qbnqul
title: Replication data for Can Pollution Cause Poverty: The Effects of Pollution on Educational, Health and Economic Outcomes

description: This set of folders contains replication data and code for Can Pollution Cause Poverty: The Effects of Pollution on Educational, Health and Economic Outcomes. See the Read Me.
DOI: 10.15468/dl.dntqmn
title: Occurrence Download

description: A dataset containing 4256 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus crassifolia"
 ]
}

 The dataset includes 4256 records from 151 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012862-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gubhea
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Frankliniella occidentalis",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 77 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012863-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tb9g27
title: Occurrence Download

description: A dataset containing 1263 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sciurus alleni"
 ]
}

 The dataset includes 1263 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012864-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5063/f13r0rc0
title: Turning Data into Action. An R Package for the Wildfire Resilience Index

description: Objective: The Wildfire Resilience Index (WRI) measures and communicates social and ecological dimensions of wildfire resilience, giving resource managers, decision makers, and community leaders a holistic view of local strengths and vulnerabilities. Behind the index are nearly 100 geospatial data layers at 90-meter resolution—an incredibly rich dataset that is too large and complex for most users to simply download and explore. The challenge is making these data accessible and usable for researchers and practitioners. By developing an R package, we can deliver streamlined access to WRI scores and underlying domain data, driving rapid adoption and real-world application in wildfire resilience science, planning, and policy.
DOI: 10.15468/dl.wgbdfk
title: Occurrence Download

description: A dataset containing 350615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Olea europaea",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "DecimalLongitude is greater than or equal to -20",
 "DecimalLongitude is less than or equal to 20",
 "DecimalLatitude is greater than or equal to 20",
 "DecimalLatitude is less than or equal to 45"
 ]
}

 The dataset includes 350615 records from 356 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012843-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5gba4
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Frankliniella intonsa",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 78 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012866-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17528246
title: Predicting disease-specific histone modifications and functional effects of non-coding variants by leveraging DNA language models

description: Epigenetic modifications play a vital role in the pathogenesis of human diseases, particularly neurodegenerative disorders such as Alzheimer's disease, where dysregulated histone modifications are strongly implicated in disease mechanisms. While recent advances underscore the importance of accurately identifying these modifications to elucidate their contribution to Alzheimer's disease pathology, existing computational methods remain limited by their generic approaches that overlook disease-specific epigenetic signatures. To bridge this gap, we develop a novel large language model -based deep learning framework tailored for disease-contextual prediction of histone modifications and variant effects. Focusing on Alzheimer's disease as a case study, we integrate epigenomic data from multiple patient samples to construct a comprehensive, disease-specific histone modification dataset, enabling our model to learn Alzheimer's disease -associated molecular signatures. A key innovation of our approach is the incorporation of a Mixture of Experts architecture, which effectively distinguishes between disease and healthy epigenetic states, allowing for precise identification of Alzheimer's disease -relevant epigenetic modification patterns. Our model demonstrates robust performance in disease-specific histone modification prediction, significantly outperforming existing state-of-the-art methods that lack disease context. Beyond accurate modification site prediction, our framework provides important biological insights by successfully prioritizing Alzheimer's disease -associated genetic variants, which show significant enrichment in disease-relevant pathways. Our framework establishes a powerful new paradigm for epigenetic research that can be extended to other complex diseases, offering both a valuable tool for variant effect interpretation and a promising strategy for uncovering novel disease mechanisms through epigenetic profiling.
DOI: 10.5281/zenodo.17528247
title: Predicting disease-specific histone modifications and functional effects of non-coding variants by leveraging DNA language models

description: Epigenetic modifications play a vital role in the pathogenesis of human diseases, particularly neurodegenerative disorders such as Alzheimer's disease, where dysregulated histone modifications are strongly implicated in disease mechanisms. While recent advances underscore the importance of accurately identifying these modifications to elucidate their contribution to Alzheimer's disease pathology, existing computational methods remain limited by their generic approaches that overlook disease-specific epigenetic signatures. To bridge this gap, we develop a novel large language model -based deep learning framework tailored for disease-contextual prediction of histone modifications and variant effects. Focusing on Alzheimer's disease as a case study, we integrate epigenomic data from multiple patient samples to construct a comprehensive, disease-specific histone modification dataset, enabling our model to learn Alzheimer's disease -associated molecular signatures. A key innovation of our approach is the incorporation of a Mixture of Experts architecture, which effectively distinguishes between disease and healthy epigenetic states, allowing for precise identification of Alzheimer's disease -relevant epigenetic modification patterns. Our model demonstrates robust performance in disease-specific histone modification prediction, significantly outperforming existing state-of-the-art methods that lack disease context. Beyond accurate modification site prediction, our framework provides important biological insights by successfully prioritizing Alzheimer's disease -associated genetic variants, which show significant enrichment in disease-relevant pathways. Our framework establishes a powerful new paradigm for epigenetic research that can be extended to other complex diseases, offering both a valuable tool for variant effect interpretation and a promising strategy for uncovering novel disease mechanisms through epigenetic profiling.
DOI: 10.15468/dl.4kw3pv
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thrips tabaci",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 65 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012868-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/5bvdsp
title: Replicate Data for "The links between digital financial behaviour, digital financial literacy, and financial well-being: Generation X vs. Millennials in Malaysia"

description: The data collected via the online survey on digital financial behaviour (DFB) and its influence on financial well-being (FWB), with digital financial literacy (DFL) as a moderator. It further explores generational differences between Gen X (born between 1965-1980) and Millennials (born between 1981-1996) in Malaysia. The research was funded by the Malaysian Ministry of Higher Education (MOHE) under the Fundamental Research Grant Scheme (FRGS) with the project code of FRGS/1/2022/SS01/UM/02/1 (FP035-2022).
DOI: 10.15468/dl.yhc4ef
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scirtothrips dorsalis",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 85 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012869-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s97ayv
title: Occurrence Download

description: A dataset containing 3403 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Octolasion cyaneum"
 ]
}

 The dataset includes 3403 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012870-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynxde4
title: Occurrence Download

description: A dataset containing 3789 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eisenia fetida"
 ]
}

 The dataset includes 3789 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012871-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4mfav
title: Occurrence Download

description: A dataset containing 15559 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lumbricus rubellus"
 ]
}

 The dataset includes 15559 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012872-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5kp4wp
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thrips palmi",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012873-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ncx4in
title: Development of Thermal Building Model for a Nearly Zero-Energy Timber House with Integrated Phase Change Materials

description: This study presents the development of an EnergyPlus thermal building model for a nearly zero-energy timber house located in Aalter, Belgium, supported by on-site thermal comfort monitoring. The lightweight wooden envelope makes the building particularly sensitive to indoor temperature fluctuations and overheating. To enhance passive thermal energy storage, bio-based phase change materials (PCMs) were integrated into the ceilings and selected wall assemblies. Indoor thermal comfort was monitored through measurements of air temperature and relative humidity in representative zones, and the measured data were used to inform and calibrate the EnergyPlus model. The model incorporates detailed building geometry, construction stratigraphy, PCM thermophysical properties, and the main heating and ventilation systems. The combined monitoring and EnergyPlus modeling framework enables the assessment of indoor thermal comfort and the effectiveness of phase change materials in reducing temperature variations, providing a robust basis for evaluating passive overheating mitigation strategies in nearly zero-energy timber buildings.
DOI: 10.15468/dl.su2qbb
title: Occurrence Download

description: A dataset containing 529086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonId is not null",
 "GbifId is not null",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2021-10-11",
 "EventDate is less than or equal to 2021-11-10",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 529086 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012856-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.27906
title: The Dst index in china(cDst index) on 10-12 May 2024
title: The Dst index in china(cDst index) on 10-12 May 2024

description: The Dst index in China (cDst index) on 10-12 May 2024 is calculated with the geomagnetic data of the CMP in Lasa, Chengdu, Wuhan and Hangzhou stations.
description: The Dst index in China (cDst index) on 10-12 May 2024 is calculated with the geomagnetic data of the CMP in Lasa, Chengdu, Wuhan and Hangzhou stations.
DOI: 10.7910/dvn/dhfslg
title: Replication Code for: The Great Leveler? Juvenile Arrest, College Attainment, and the Future of American Inequality

description: This dataset contains the code used to generate figures and tables for: Garrett Baker, David S. Kirk, and Robert J. Sampson, "The Great Leveler? Juvenile Arrest, College Attainment, and the Future of American Inequality," Sociology of Education 99, no. 1 (2026), https://doi.org/10.1177/00380407251338844. For questions on the code, please contact Garrett Baker at garrett.baker@duke.edu or Amelia O'Halloran at ameliaohalloran@fas.harvard.edu.

The data used for this analysis contains confidential arrest records and personally identifiable information that can potentially be used to identify study participants, so the underlying data files are not shared in this replication repository. The code is intended to address any questions of methods and variables used. For more information on the PHDCN+ data or to request access, see https://sites.harvard.edu/phdcn/.
DOI: 10.6084/m9.figshare.31259023
title: GWAS of Hospital Frailty Risk Score (HFRS) in FinnGen and UK Biobank

description: <b>GWAS summary statistics for "</b><b>Large-scale genome-wide analyses with proteomics integration reveal novel loci and biological insights into frailty" (Mak </b><b><i>et al.</i></b><b> 2025, Nature Aging).</b><b>Citation: </b>Mak, J.K.L., Qin, C., Krüger, M. et al. Large-scale genome-wide analyses with proteomics integration reveal novel loci and biological insights into frailty. Nat Aging 5, 1589–1600 (2025). https://doi.org/10.1038/s43587-025-00925-y<b>Methods:</b> Full details are described in the original paper. Briefly, we calculated the Hospital Frailty Risk Score (HFRS) based on 109 weighted ICD-10 codes according to a previously described protocol (Gilbert et al., Lancet, 2018) in FinnGen release 12 (discovery; n=500,737) and UK Biobank (replication; n=407,463). In FinnGen, we performed GWAS using SAIGE. We included variants (N = 21,294,561) with minor allele frequency &gt; 0.01%, Hardy–Weinberg P value &gt; 1 × 10<sup>−9</sup> and imputation INFO score ≥ 0.9. The models were adjusted for birth year, sex and the first ten PCs. We performed variant mapping and annotation using the Variant Effect Predictor in the standard FinnGen GWAS annotation pipeline. In UK Biobank, we performed GWAS using fastGWA for participants of white British ancestry. We first constructed a genetic relationship matrix (GRM) using a filtered set of common SNPs and then fit a linear-mixed model for ~9.8 million variants adjusted for birth year, sex, genotyping array and the first ten PCs. The GWAS was conducted for (1) the original HFRS, and (2) HFRS excluding dementia (sensitivity analysis), given that dementia has the highest weight in the HFRS definition.<b>List of GWAS datasets:</b>"<i>FinnGen_hfrs_gwas.txt.gz</i>": GWAS summary statistics (SAIGE) for the HFRS in FinnGen (n=500,737). Models were adjusted for birth year, sex and first 10 ten PCs."<i>FinnGen_hfrswodementia_gwas.txt.gz</i>": GWAS summary statistics (SAIGE) for the HFRS without dementia in FinnGen (sensitivity analysis; n=500,737). Models were adjusted for birth year, sex and first 10 ten PCs."<i>UKB_hfrs_gwas.txt.gz</i>": GWAS summary statistics (fastGWA) for the HFRS in UK Biobank (n=407,463). Models were adjusted for birth year, sex genotyping array, and first 10 ten PCs."<i>UKB_hfrswodementia_gwas.txt.gz</i>": GWAS summary statistics (fastGWA) for the HFRS without dementia in UK Biobank (sensitivity analysis; n=407,463). Models were adjusted for birth year, sex genotyping array, and first 10 ten PCs.<br>
DOI: 10.6084/m9.figshare.31259023.v1
title: GWAS of Hospital Frailty Risk Score (HFRS) in FinnGen and UK Biobank

description: <b>GWAS summary statistics for "</b><b>Large-scale genome-wide analyses with proteomics integration reveal novel loci and biological insights into frailty" (Mak </b><b><i>et al.</i></b><b> 2025, Nature Aging).</b><b>Citation: </b>Mak, J.K.L., Qin, C., Krüger, M. et al. Large-scale genome-wide analyses with proteomics integration reveal novel loci and biological insights into frailty. Nat Aging 5, 1589–1600 (2025). https://doi.org/10.1038/s43587-025-00925-y<b>Methods:</b> Full details are described in the original paper. Briefly, we calculated the Hospital Frailty Risk Score (HFRS) based on 109 weighted ICD-10 codes according to a previously described protocol (Gilbert et al., Lancet, 2018) in FinnGen release 12 (discovery; n=500,737) and UK Biobank (replication; n=407,463). In FinnGen, we performed GWAS using SAIGE. We included variants (N = 21,294,561) with minor allele frequency &gt; 0.01%, Hardy–Weinberg P value &gt; 1 × 10<sup>−9</sup> and imputation INFO score ≥ 0.9. The models were adjusted for birth year, sex and the first ten PCs. We performed variant mapping and annotation using the Variant Effect Predictor in the standard FinnGen GWAS annotation pipeline. In UK Biobank, we performed GWAS using fastGWA for participants of white British ancestry. We first constructed a genetic relationship matrix (GRM) using a filtered set of common SNPs and then fit a linear-mixed model for ~9.8 million variants adjusted for birth year, sex, genotyping array and the first ten PCs. The GWAS was conducted for (1) the original HFRS, and (2) HFRS excluding dementia (sensitivity analysis), given that dementia has the highest weight in the HFRS definition.<b>List of GWAS datasets:</b>"<i>FinnGen_hfrs_gwas.txt.gz</i>": GWAS summary statistics (SAIGE) for the HFRS in FinnGen (n=500,737). Models were adjusted for birth year, sex and first 10 ten PCs."<i>FinnGen_hfrswodementia_gwas.txt.gz</i>": GWAS summary statistics (SAIGE) for the HFRS without dementia in FinnGen (sensitivity analysis; n=500,737). Models were adjusted for birth year, sex and first 10 ten PCs."<i>UKB_hfrs_gwas.txt.gz</i>": GWAS summary statistics (fastGWA) for the HFRS in UK Biobank (n=407,463). Models were adjusted for birth year, sex genotyping array, and first 10 ten PCs."<i>UKB_hfrswodementia_gwas.txt.gz</i>": GWAS summary statistics (fastGWA) for the HFRS without dementia in UK Biobank (sensitivity analysis; n=407,463). Models were adjusted for birth year, sex genotyping array, and first 10 ten PCs.<br>
DOI: 10.7910/dvn/pv2lxj
title: Data and Code for: On-Demand Assistance: Experimental Evidence from Indonesia

description: Given labor informality in developing countries, addressing employment shocks is challenging. We study Indonesia’s new approach for on-demand online applications for temporary cash assistance and online job training. Through 20 lotteries over two years, 11 million beneficiaries were selected. In nationwide, representative surveys matched with administrative data, most beneficiaries report not receiving the assistance, with no detectable impacts on employment or consumption. In contrast, survey data from applicants with working phones reveal high reported take-up and higher incomes. The results suggest that while flexible, on-demand assistance has potential, design features that allow for flexibility could hinder receipt and, thus, impact.
DOI: 10.15468/dl.3g3b9t
title: Occurrence Download

description: A dataset containing 2457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chondracris rosea",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 2457 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012877-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnz78p
title: Occurrence Download

description: A dataset containing 1481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Balanidae, Serpulidae, Watersiporidae, Styelidae, Pennariidae, Mytilidae, Teredinidae, Ulvaceae, Caulerpaceae, Bougainvilliidae, Syllidae, Hydractiniidae, Varunidae, Bolinopsidae)",
 "Geometry POLYGON ((33.837891 30.405729, 30.498047 29.721134, 37.265625 14.89666, 42.978516 10.784385, 45.527344 14.301292, 42.011719 21.978368, 37.792969 26.936436, 33.837891 30.405729))"
 ]
}

 The dataset includes 1481 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012876-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.