cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e231460v1
title: Replication data for: The Impact of Information Technology on the Diffusion of New Pharmaceuticals

description: Do information differences across US physicians contribute to treatment disparities? This paper uses a unique new dataset to evaluate how changes in physician access to a decision-relevant drug database affect prescribing decisions. Our results indicate doctors using the reference have a significantly greater propensity to prescribe generic drugs, are faster to begin prescribing new generics, and prescribe a more diverse set of products. These results are consistent with database users responding primarily to the increased accessibility of non-clinical information such as pricing and insurance formulary data, and suggest improvements to physician information access have important implications for aggregate healthcare costs.
DOI: 10.3886/e231461
title: Replication data for: Compliance Behavior in Networks: Evidence from a Field Experiment

description: This paper studies the spread of compliance behavior in neighborhood networks in Austria. We exploit a field experiment that varied the content of mailings sent to potential evaders of TV license fees. The data reveal a strong treatment spillover: untreated households are more likely to switch from evasion to compliance in response to mailings received by their network neighbors. Digging deeper into the properties of the spillover, we find that it is concentrated among close neighbors of the targets and increases with the treated households' diffusion centrality. Local concentration of equally treated households implies a lower spillover.
DOI: 10.3886/e231461v1
title: Replication data for: Compliance Behavior in Networks: Evidence from a Field Experiment

description: This paper studies the spread of compliance behavior in neighborhood networks in Austria. We exploit a field experiment that varied the content of mailings sent to potential evaders of TV license fees. The data reveal a strong treatment spillover: untreated households are more likely to switch from evasion to compliance in response to mailings received by their network neighbors. Digging deeper into the properties of the spillover, we find that it is concentrated among close neighbors of the targets and increases with the treated households' diffusion centrality. Local concentration of equally treated households implies a lower spillover.
DOI: 10.25345/c5rx93s13
title: MassIVE MSV000098053 - A proteobacterial family of protein acyltransferases related to the Shigella effector IcsB
title: Characterisation of a new family of acyltransferases. In Yeast, the acylation targets of Shigella's secreted effector IcsB and those of newly discovered homologues of this effector were characterised using mass spectrometry.
DOI: 10.71622/data_282113
title: Improving the paleo-redox proxy by assessing uranium speciation in reducing sedimentary settings
DOI: 10.15468/dl.tvtr3s
title: Occurrence Download

description: A dataset containing 279040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Geometry POLYGON((5.83793 52.28945,6.03505 52.28945,6.03505 52.39913,5.83793 52.39913,5.83793 52.28945))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 279040 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006936-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mrrdnwkyx8.1
title: Global Consensus on the Management of Hyperpigmentation Disorders Part II

description: Supplemental tables
DOI: 10.17632/9swjw24s7h.1
title: A sensitive sensor for discovering honokiol as an orally available STING agonist that enhances antitumor immunity

description: Excel datasheets for graphs and Uncropped immunoblotting
DOI: 10.17632/9swjw24s7h.2
title: A sensitive sensor for discovering honokiol as an orally available STING agonist that enhances antitumor immunity

description: Excel datasheets for graphs and Uncropped immunoblotting
DOI: 10.17632/zhjfk9rzsh.1
title: Data for: Insights into parent body processing and constraints on the winonaite-IAB connection from Re-Os isotopes and highly siderophile element abundances in winonaites

description: Data package for manuscript "Insights into parent body processing and constraints on the winonaite-IAB connection from Re-Os isotopes and highly siderophile element abundances in winonaites" including all main text tables (Tables 1-4) and two supplementery tables (Table S1-S2).
DOI: 10.17632/249h53865h.1
title: Jira Task Dataset for Agile Project Analysis and Completion Date Prediction

description: This dataset contains real Jira task records collected from software houses. Each task includes fields such as task title, status, priority, assigned user, creation and resolution dates, and other key metadata required for agile analytics.

The dataset was compiled and used as part of a research study focused on predicting task completion dates using machine learning techniques. It is designed to support research in areas such as software engineering, agile project management, sprint planning, and predictive modeling of task delivery timelines.

Data Format:
XLSX (Microsoft Excel Workbook)
Includes multiple columns such as:
Task ID
Summary
Status
Priority
Created Date
Resolved Date
Assignee
Issue Type
DOI: 10.17632/249h53865h.2
title: Jira Task Dataset for Agile Project Analysis and Completion Date Prediction

description: This dataset contains real Jira task records collected from software houses. Each task includes fields such as task title, status, priority, assigned user, creation and resolution dates, and other key metadata required for agile analytics.

The dataset was compiled and used as part of a research study focused on predicting task completion dates using machine learning techniques. It is designed to support research in areas such as software engineering, agile project management, sprint planning, and predictive modeling of task delivery timelines.

Data Format:
XLSX (Microsoft Excel Workbook)
Includes multiple columns such as:
Task ID
Summary
Status
Priority
Created Date
Resolved Date
Labels
Description
DOI: 10.17632/249h53865h.3
title: Jira Task Dataset for Agile Project Analysis and Completion Date Prediction

description: This dataset contains real Jira task records collected from software houses. Each task includes fields such as task title, status, priority, assigned user, creation and resolution dates, and other key metadata required for agile analytics.

The dataset was compiled and used as part of a research study focused on predicting task completion dates using machine learning techniques. It is designed to support research in areas such as software engineering, agile project management, sprint planning, and predictive modeling of task delivery timelines.

Data Format:
XLSX (Microsoft Excel Workbook)
Includes multiple columns such as:
Task ID
Summary
Status
Priority
Created Date
Resolved Date
Labels
Description
DOI: 10.15468/dl.xru5cy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium opulifolium",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024386-250811113504898/datasets/export for details.
DOI: 10.15468/dl.3w9czy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chenopodium opulifolium",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024387-250811113504898/datasets/export for details.
DOI: 10.15468/dl.vanzew
title: Occurrence Download

description: A dataset containing 3124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "Geometry POLYGON((174.42916 -35.91257,174.48139 -35.91257,174.48139 -35.86342,174.42916 -35.86342,174.42916 -35.91257))",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 3124 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024388-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpmd6f
title: Occurrence Download

description: A dataset containing 491776 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Month is one of (May, June)",
 "TaxonKey is Milvus migrans"
 ]
}

 The dataset includes 491776 records from 2374 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024350-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bumsa3
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eupsophus contulmoensis"
 ]
}

 The dataset includes 31 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002095-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ug784s
title: Relevés of Main Vegetation Types of the Prioksko-Terrasnyi Biosphere Reserve (2025)

description: The dataset provides 143 vegetation relevés (5994 associated occurrences) collected in 2023. The previous vegetation data sampled in 2019-2023 available through GBIF, DOI: 10.15468/y2yuq8 and DOI: 10.15468/ewgfbt, DOI: 10.15468/yzkmze. See DOI: 10.3897/BDJ.9.e71266 for background and details of sampling methods.
DOI: 10.15468/dl.uhw94e
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scutellaria hastifolia, Scutellaria hastifolia, Scutellaria hastifolia)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002096-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18309991
title: Serjania herteri Ferrucci. 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 16:54
DOI: 10.5281/zenodo.18309992
title: Serjania herteri Ferrucci. 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 16:54
DOI: 10.34740/kaggle/dsv/14556364
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.ddcrw5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.995 -1.878821, 100.924699 -1.884387, 100.856128 -1.900946, 100.790974 -1.928092, 100.730839 -1.965156, 100.677205 -2.011227, 100.631391 -2.065171, 100.594525 -2.12566, 100.567516 -2.191205, 100.551029 -2.260194, 100.545473 -2.330928, 100.550985 -2.401665, 100.567431 -2.470664, 100.594409 -2.536225, 100.631254 -2.596734, 100.677061 -2.650699, 100.730703 -2.696792, 100.790858 -2.733876, 100.856044 -2.761037, 100.924655 -2.777607, 100.995 -2.783176, 101.065345 -2.777607, 101.133956 -2.761037, 101.199142 -2.733876, 101.259297 -2.696792, 101.312939 -2.650699, 101.358746 -2.596734, 101.395591 -2.536225, 101.422569 -2.470664, 101.439015 -2.401665, 101.444527 -2.330928, 101.438971 -2.260194, 101.422484 -2.191205, 101.395475 -2.12566, 101.358609 -2.065171, 101.312795 -2.011227, 101.259161 -1.965156, 101.199026 -1.928092, 101.133872 -1.900946, 101.065301 -1.884387, 100.995 -1.878821))"},{"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/0002097-260119153935675/datasets/export for details.
DOI: 10.5281/zenodo.18308465
title: Wall to Wall Nepal Forest Data @10 m (2020): Forest Cover, Tree Species, and Tree Canopy Height

description: Forest canopy height mapping is critical for mapping and modeling bio-geophysical and ecological factors, including forest aboveground biomass, carbon reserves, forest carbon emissions, habitat diversity, forest degradation, and restoration success. The Global Ecosystem Dynamics Investigation (GEDI) is a spaceborne Light Detection and Ranging (LiDAR) sensor designed specifically to collect data on forest ecosystems worldwide. However, the information obtained by GEDI is not wall-to-wall, requiring data fusion approaches to map spatially continuous canopy heights. This study, for the first time, presents canopy height models for the entire country of Nepal based on interpolated GEDI tree heights fusing Sentinel-2 multispectral imagery with Sentinel-1 synthetic aperture radar (SAR), creating species-specific continuous canopy height models for Nepal at 10 m resolution. Forest plot field data, collected from a nationwide campaign, provided data on species identity, which was used for species mapping and accuracy evaluation. Differences in canopy-architecture and leaf-level traits mean that species-specific models are needed to interpolate GEDI tree heights using the Sentinel optical and SAR data. The national forest height map was compared with an independent set of GEDI data (RMSE = 2.4 m, R2 = 0.92, intercept (c) = 0.53 m and slope (m) = 0.98) and fully independent field data (RMSE = 3.7 m, R2 = 0.74, c = 4.1 m, and m = 0.89). The developed forest type map and canopy height models have the potential to aid in both operational monitoring and hindcasting of historical forest height and its dynamics. Local and national forest management initiatives and international climate and sustainable development projects require this kind of capacity.
DOI: 10.5281/zenodo.18308466
title: Wall to Wall Nepal Forest Data @10 m (2020): Forest Cover, Tree Species, and Tree Canopy Height

description: Forest canopy height mapping is critical for mapping and modeling bio-geophysical and ecological factors, including forest aboveground biomass, carbon reserves, forest carbon emissions, habitat diversity, forest degradation, and restoration success. The Global Ecosystem Dynamics Investigation (GEDI) is a spaceborne Light Detection and Ranging (LiDAR) sensor designed specifically to collect data on forest ecosystems worldwide. However, the information obtained by GEDI is not wall-to-wall, requiring data fusion approaches to map spatially continuous canopy heights. This study, for the first time, presents canopy height models for the entire country of Nepal based on interpolated GEDI tree heights fusing Sentinel-2 multispectral imagery with Sentinel-1 synthetic aperture radar (SAR), creating species-specific continuous canopy height models for Nepal at 10 m resolution. Forest plot field data, collected from a nationwide campaign, provided data on species identity, which was used for species mapping and accuracy evaluation. Differences in canopy-architecture and leaf-level traits mean that species-specific models are needed to interpolate GEDI tree heights using the Sentinel optical and SAR data. The national forest height map was compared with an independent set of GEDI data (RMSE = 2.4 m, R2 = 0.92, intercept (c) = 0.53 m and slope (m) = 0.98) and fully independent field data (RMSE = 3.7 m, R2 = 0.74, c = 4.1 m, and m = 0.89). The developed forest type map and canopy height models have the potential to aid in both operational monitoring and hindcasting of historical forest height and its dynamics. Local and national forest management initiatives and international climate and sustainable development projects require this kind of capacity.
DOI: 10.5281/zenodo.18310001
title: Serjania meridionalis Griseb. 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 16:54
DOI: 10.5281/zenodo.18310002
title: Serjania meridionalis Griseb. 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 16:54
DOI: 10.5281/zenodo.18290053
title: Simulated output data from snow-forcing experiments
DOI: 10.5281/zenodo.18290054
title: Simulated output data from snow-forcing experiments
DOI: 10.15468/dl.dm6958
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexatoma pernigrina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002099-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdjy9b
title: Occurrence Download

description: A dataset containing 1206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sedum acre, Sedum acre)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1206 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002100-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zy9gh
title: Occurrence Download

description: A dataset containing 28882 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.07348 46.50491,1.23579 46.50491,1.23579 46.61363,1.07348 46.61363,1.07348 46.50491))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 28882 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002101-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18163380
title: Enhancing Red and Near Infrared OLED Efficiency of a TADF Emitter Through Internal Solvation Effect
DOI: 10.5281/zenodo.18309937
title: Enhancing Red and Near Infrared OLED Efficiency of a TADF Emitter Through Internal Solvation Effect
DOI: 10.15468/dl.8wfgx2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((112.334 -1.868821, 112.2637 -1.874387, 112.195129 -1.890946, 112.129975 -1.918092, 112.069841 -1.955156, 112.016207 -2.001227, 111.970393 -2.055171, 111.933527 -2.11566, 111.906518 -2.181206, 111.890032 -2.250194, 111.884476 -2.320928, 111.889988 -2.391665, 111.906435 -2.460664, 111.933412 -2.526225, 111.970257 -2.586734, 112.016064 -2.640699, 112.069705 -2.686792, 112.129859 -2.723876, 112.195045 -2.751037, 112.263655 -2.767607, 112.334 -2.773176, 112.404345 -2.767607, 112.472955 -2.751037, 112.538141 -2.723876, 112.598295 -2.686792, 112.651936 -2.640699, 112.697743 -2.586734, 112.734588 -2.526225, 112.761565 -2.460664, 112.778012 -2.391665, 112.783524 -2.320928, 112.777968 -2.250194, 112.761482 -2.181206, 112.734473 -2.11566, 112.697607 -2.055171, 112.651793 -2.001227, 112.598159 -1.955156, 112.538025 -1.918092, 112.472871 -1.890946, 112.4043 -1.874387, 112.334 -1.868821))"},{"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/0002102-260119153935675/datasets/export for details.
DOI: 10.15468/dl.twf3a9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hexatoma gifuensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002103-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.32nu3z
title: Occurrence Download

description: A dataset containing 2364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sedum album, Sedum album, Sedum album)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 2364 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002104-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.