cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.46ynay
title: Occurrence Download

description: A dataset containing 476 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((34.94522 -26.70887,32.50387 -21.13522,28.0818 -21.36554,20.15893 -24.08327,15.36835 -27.6762,17.48726 -35.55301,28.35818 -35.00025,34.94522 -26.70887))",
 "TaxonKey is Senecio inaequidens"
 ]
}

 The dataset includes 476 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016670-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ppz67n
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Machilus nanmu"
 ]
}

 The dataset includes 487 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016671-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18280966
title: Research data for "Exceptional-point-induced dynamic sensitivity to particle-number parity ": Figures 1, 2, 3 and 4

description: This dataset contains the underlying numerical data for Figures 1, 2, 3 and 4 of the manuscript "Exceptional-point-induced dynamic sensitivity to particle-number parity" submitted to Physical Review B. The CSV files provide the data points plotted in each figure, allowing for reproduction and further analysis. Columns are labelled with the physical quantities and corresponding parameters.
DOI: 10.5281/zenodo.17035647
title: Research data for "Exceptional-point-induced dynamic sensitivity to particle-number parity ": Figures 1, 2, 3 and 4

description: This dataset contains the underlying numerical data for Figures 1, 2, 3 and 4 of the manuscript "Exceptional-point-induced dynamic sensitivity to particle-number parity" submitted to Physical Review B. The CSV files provide the data points plotted in each figure, allowing for reproduction and further analysis. Columns are labelled with the physical quantities and corresponding parameters.
DOI: 10.5281/zenodo.18280996
title: Heliotropium elongatum (Lehm.) Gürke. 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 16:47
DOI: 10.5281/zenodo.18280997
title: Heliotropium elongatum (Lehm.) Gürke. 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 16:47
DOI: 10.5281/zenodo.18281039
title: Heliotropium montevidense Arechav. 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 16:47
DOI: 10.5281/zenodo.18281040
title: Heliotropium montevidense Arechav. 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 16:47
DOI: 10.15468/dl.b834gt
title: Occurrence Download

description: A dataset containing 229019 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xiphias gladius",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 229019 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016660-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18281048
title: Heliotropium nicotianifolium Poir. 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 16:47
DOI: 10.5281/zenodo.18281049
title: Heliotropium nicotianifolium Poir. 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 16:47
DOI: 10.5281/zenodo.18281051
title: Heliotropium ocellatum Cham. 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 16:47
DOI: 10.5281/zenodo.18281052
title: Heliotropium ocellatum Cham. 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 16:47
DOI: 10.5281/zenodo.18281056
title: Heliotropium phylicoides Cham. 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 16:47
DOI: 10.5281/zenodo.18281057
title: Heliotropium phylicoides Cham. 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 16:47
DOI: 10.15468/dl.3cpaj3
title: Occurrence Download

description: A dataset containing 29755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Katsuwonus pelamis",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 29755 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016674-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18280678
title: Vehicle Dataset

description: # DatasetAli Osman Gökcan, Resul Çöteli, Derya Avcı. "Adaptive Traffic Signal Control Using Deep Learning and Metaheuristic-Optimized Kernel Extreme Learning Machine"  ** (This work has not yet been published.) **

Adaptive Traffic Signal Control Using Deep Learning and Metaheuristic-Optimized Kernel Extreme Learning Machine is the dataset used for this article.

We kindly ask you to give appropriate credit when using this dataset in any form of research or publication.

## LicenseThis dataset is released under the [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/) (CC BY-NC 4.0).

**You are free to:**- Share, copy, and redistribute the material- Adapt, remix, transform, and build upon the material

**Under these terms:**- **Attribution** — You must give appropriate credit- **NonCommercial** — You may not use the material for commercial purposes

For commercial use inquiries, please contact: [mail@aliosmangokcan.com]
DOI: 10.5281/zenodo.18280679
title: Vehicle Dataset

description: # DatasetAli Osman Gökcan, Resul Çöteli, Derya Avcı. "Adaptive Traffic Signal Control Using Deep Learning and Metaheuristic-Optimized Kernel Extreme Learning Machine"  ** (This work has not yet been published.) **

Adaptive Traffic Signal Control Using Deep Learning and Metaheuristic-Optimized Kernel Extreme Learning Machine is the dataset used for this article.

We kindly ask you to give appropriate credit when using this dataset in any form of research or publication.

## LicenseThis dataset is released under the [Creative Commons Attribution-NonCommercial 4.0 International License](https://creativecommons.org/licenses/by-nc/4.0/) (CC BY-NC 4.0).

**You are free to:**- Share, copy, and redistribute the material- Adapt, remix, transform, and build upon the material

**Under these terms:**- **Attribution** — You must give appropriate credit- **NonCommercial** — You may not use the material for commercial purposes

For commercial use inquiries, please contact: [mail@aliosmangokcan.com]
DOI: 10.34740/kaggle/dsv/14528234
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.6mgawe
title: Occurrence Download

description: A dataset containing 823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Eutrombicula alfreddugesi"
 ]
}

 The dataset includes 823 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016676-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18281067
title: Heliotropium transalpinum Vell. 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 16:47
DOI: 10.5281/zenodo.18281068
title: Heliotropium transalpinum Vell. 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 16:47
DOI: 10.5281/zenodo.18281077
title: PPMI-cognitive
DOI: 10.5281/zenodo.18281078
title: PPMI-cognitive
DOI: 10.5281/zenodo.18281079
title: Helminthotheca Zinn. 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 16:47
DOI: 10.5281/zenodo.18281080
title: Helminthotheca Zinn. 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 16:47
DOI: 10.5281/zenodo.18280802
title: Abbreviations in 13th-Century French Manuscripts: Statistical Analyses - Dataset

description: Dataset and code for : Dominique Stutzmann and Viola Mariotti, with collab. Floriana Ceresato, «Les abréviations dans les manuscrits français du XIIIe siècle: analyses statistiques», in The Rise of Vernacular Writing. The Palaeographical Perspective. Proceedings of the 21st Colloquium of the Comité international de paléographie latine. Firenze (19-21 February 2020), ed. Irene Ceccherini and Teresa De Robertis, Turnhout, Brepols, 2026 (Bibliologia, 70)

This article examines thirteenth-century French abbreviation systems through statistical analysis of the ECMEN project corpus (IRHT, 2015-2019), comprising dated manuscripts from the BnF’s French collection (fr. 1-1000) with granular XML-TEI transcriptions. Our methodology separates graphic description from editorial interpretation, enabling systematic study of abbreviation practices across chronological, geographical, and generic contexts. Two case studies reveal underlying coherence in scribal practices: personal name abbreviations show remarkably unambiguous systems where scribes systematically avoid confusion through specialized usage; and the tilde -us (ꝰ), often considered polyvalent, proves largely univocal in practice, with apparent ambiguities actually serving disambiguating functions, particularly in Picard scripta. These findings demonstrate that medieval scribes developed sophisticated, internally coherent abbreviation systems adapted to vernacular linguistic realities. Rather than sources of confusion, abbreviations functioned as tools for disambiguation, suggesting the need to revise assumptions about the relationship between Latin and vernacular abbreviation systems. 

The paper was delivered in 2020, the final text of the article was submitted in April 2021. The data and code marginally differs from the one used for the publication (minor typo corrections and xslt replaced by python).
DOI: 10.5281/zenodo.18281081
title: Helminthotheca echioides (L.) Holub. 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 16:47
DOI: 10.5281/zenodo.18281082
title: Helminthotheca echioides (L.) Holub. 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 16:47
DOI: 10.5281/zenodo.18281016
title: Simulation checkpoint for a local ocean domain and its diel cycle

description: This is for use with the Oceananigans.jl via ClimateModels.jl (v0.3.14).

A six day spin-up was carried out (with Oceananigans.jl v0.103.1) and the resulting checkpoint is what's stored here.

See the ClimateModels.jl documentation for user direction on how to run the Oceananigans.jl notebook.

Parameters of the simulation :



```

inputs=Dict("nt_hours" => 144,"nt_callback" => 300,

"size"=>(32,32,30,30), "EOS" => eos,

"arch" => CPU(), "output_path" => output_path)

```
DOI: 10.5281/zenodo.8322233
title: Simulation checkpoint for a local ocean domain and its diel cycle

description: This is for use with the Oceananigans.jl via ClimateModels.jl (v0.3.14).

A six day spin-up was carried out (with Oceananigans.jl v0.103.1) and the resulting checkpoint is what's stored here.

See the ClimateModels.jl documentation for user direction on how to run the Oceananigans.jl notebook.

Parameters of the simulation :



```

inputs=Dict("nt_hours" => 144,"nt_callback" => 300,

"size"=>(32,32,30,30), "EOS" => eos,

"arch" => CPU(), "output_path" => output_path)

```
DOI: 10.15468/dl.nscqew
title: Occurrence Download

description: A dataset containing 9508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thunnus thynnus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 9508 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016678-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q695ng
title: Occurrence Download

description: A dataset containing 42203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus ponderosa",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset includes 42203 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016677-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18281090
title: Helosciadium W.D.J.Koch. 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 16:47
DOI: 10.5281/zenodo.18281089
title: Helosciadium W.D.J.Koch. 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 16:47
DOI: 10.5281/zenodo.18281041
title: Enhancing Pension Participation in the Digital Economy: Financial Literacy, Fintech Adoption, and Behavioral Drivers Among Young Employees in Indonesia

description: Low pension participation and long-term investment engagement among young individuals in Indonesia remain a structural challenge despite rapid growth in the digital financial ecosystem. Although FinTech platforms and digital pension products are increasingly accessible, participation among the digitally native generation remains limited. This study integrates prior findings on pension participation and investment intentions to examine how financial literacy and FinTech jointly influence investment and retirement planning intentions.

Financial literacy represents a cognitive capability that enables individuals to evaluate financial information and risk–return trade-offs, while FinTech serves as a technological enabler that enhances accessibility, efficiency, and user engagement. However, digital access alone is insufficient without adequate financial understanding and behavioral readiness.

Grounded in behavioral finance and digital adoption theories, this study proposes a model linking financial literacy, FinTech adoption, trust, risk perception, and future time perspective to participation intentions. Empirical evidence from young employees aged 20–40 years shows that financial literacy has significant direct and indirect effects, particularly through FinTech adoption. Trust and future time perspective strengthen this relationship, whereas high risk perception weakens it..
DOI: 10.5281/zenodo.18281042
title: Enhancing Pension Participation in the Digital Economy: Financial Literacy, Fintech Adoption, and Behavioral Drivers Among Young Employees in Indonesia

description: Low pension participation and long-term investment engagement among young individuals in Indonesia remain a structural challenge despite rapid growth in the digital financial ecosystem. Although FinTech platforms and digital pension products are increasingly accessible, participation among the digitally native generation remains limited. This study integrates prior findings on pension participation and investment intentions to examine how financial literacy and FinTech jointly influence investment and retirement planning intentions.

Financial literacy represents a cognitive capability that enables individuals to evaluate financial information and risk–return trade-offs, while FinTech serves as a technological enabler that enhances accessibility, efficiency, and user engagement. However, digital access alone is insufficient without adequate financial understanding and behavioral readiness.

Grounded in behavioral finance and digital adoption theories, this study proposes a model linking financial literacy, FinTech adoption, trust, risk perception, and future time perspective to participation intentions. Empirical evidence from young employees aged 20–40 years shows that financial literacy has significant direct and indirect effects, particularly through FinTech adoption. Trust and future time perspective strengthen this relationship, whereas high risk perception weakens it..
DOI: 10.5281/zenodo.18281095
title: Helosciadium nodiflorum (L.) W.D.J.Koch. 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 16:47
DOI: 10.5281/zenodo.18281096
title: Helosciadium nodiflorum (L.) W.D.J.Koch. 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 16:47
DOI: 10.15468/dl.hmcfs2
title: Occurrence Download

description: A dataset listing the 469 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-61.78002 16.36023,-62.17704 16.37379,-62.16892 15.90821,-61.72602 15.90821,-61.70225 15.90782,-61.70259 15.94106,-61.70863 15.95114,-61.71199 15.95383,-61.70964 15.96356,-61.713 15.97532,-61.71938 15.98237,-61.73214 15.99245,-61.73886 16.00017,-61.74725 16.0089,-61.75061 16.02972,-61.75813 16.04186,-61.76384 16.04556,-61.7672 16.05261,-61.77257 16.06033,-61.76955 16.07075,-61.76989 16.08451,-61.77325 16.08754,-61.77627 16.11037,-61.77694 16.12482,-61.77224 16.12885,-61.77157 16.13321,-61.77593 16.13691,-61.78304 16.13893,-61.77767 16.14968,-61.778 16.17151,-61.78573 16.1742,-61.78405 16.18729,-61.78909 16.19267,-61.78909 16.20039,-61.78405 16.20744,-61.78573 16.21517,-61.78741 16.22424,-61.79345 16.2333,-61.79983 16.23633,-61.80353 16.24506,-61.80756 16.25782,-61.8087 16.26714,-61.81138 16.27386,-61.805 16.27722,-61.80467 16.29065,-61.80568 16.30039,-61.80097 16.30912,-61.80366 16.31282,-61.80332 16.31752,-61.79359 16.32188,-61.78821 16.32826,-61.7909 16.33397,-61.78082 16.34439,-61.77746 16.34875,-61.78002 16.36023))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset's 469 records were derived from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016672-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18265600
title: MutSig2CV Reference Files (hg38) – Mirror

description: This is an unofficial mirror of the reference files required to run MutSig2CV for the hg38 genome. Download these files only if the official reference files are unavailable. The original files were obtained from the Broad Institute's official resource page. Please see https://github.com/getzlab/MutSig2CV/issues/10. 

Original files were developed and distributed by the Broad Institute as part of the MutSig2CV computational framework. All credit belongs to the original authors

These files are shared for academic and research purposes only to ensure continuity of ongoing analyses while the official distribution channels experience temporary downtime.

Please replace the paths in the params.txt file with your own paths.
DOI: 10.5281/zenodo.18265601
title: MutSig2CV Reference Files (hg38) – Mirror

description: This is an unofficial mirror of the reference files required to run MutSig2CV for the hg38 genome. Download these files only if the official reference files are unavailable. The original files were obtained from the Broad Institute's official resource page. Please see https://github.com/getzlab/MutSig2CV/issues/10. 

Original files were developed and distributed by the Broad Institute as part of the MutSig2CV computational framework. All credit belongs to the original authors

These files are shared for academic and research purposes only to ensure continuity of ongoing analyses while the official distribution channels experience temporary downtime.

Please replace the paths in the params.txt file with your own paths.
DOI: 10.5281/zenodo.18281098
title: English interiors: 106-123
DOI: 10.5281/zenodo.18281097
title: English interiors: 106-123
DOI: 10.15468/dl.8ghh94
title: Occurrence Download

description: A dataset containing 29772 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prionace glauca",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 29772 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016679-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.