cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pn8v6fhphb.1
title: Dataset Experimental Study In-Game Currency Perception and Mental Budgeting Indonesian Population

description: This dataset contains data from an experimental study examining the effect of in-game currency perception on mental budgeting among Indonesian gamers. The study employed a between-subjects experimental design with multiple conditions that represent different ways in which in-game currency is perceived. Specifically, the dataset enables comparisons of mental budgeting levels across experimental conditions in which in-game currency is framed as a currency (A), as a virtual good (B), or presented without manipulation.

Data were collected from Indonesian participants aged 18–29 years who have experience playing games developed by HoYoverse. The dataset includes experimental condition assignments, responses to the Mental Budgeting Scale, and selected demographic variables, including age, gender, education level, income, and gaming-related characteristics. Items 12 and 13 are reverse-worded items; however, the responses are provided in their original (not reverse-coded) form. This dataset can be used to analyze differences in mental budgeting across currency perception conditions and to support future research and intervention development in digital gaming and financial behavior contexts.
DOI: 10.15156/bio/sh0166985.10fu
title: SH0166985.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166986.10fu
title: SH0166986.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166987.10fu
title: SH0166987.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/p8yf34rjv5.1
title: Dynamics of major and trace elements in the soil-plant continuum after wildfires: Comparison of mechanisms involved in two pine ecosystems of southwest Europe

description: Datasheets related to the research paper: Dynamics of major and trace elements in the soil-plant continuum after wildfires: Comparison of mechanisms involved in two pine ecosystems of southwest Europe from Yettou et al 2026
DOI: 10.15156/bio/sh0166988.10fu
title: SH0166988.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166989.10fu
title: SH0166989.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166990.10fu
title: SH0166990.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0166991.10fu
title: SH0166991.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/9bbmrkvfcn
title: Dataset of Advancing Economic Growth through Exploring Employee Engagement in MSMEs paper

description: This is a dataset of Advancing Economic Growth through Exploring Employee Engagement in MSMEs paper
DOI: 10.15468/dl.bhzvmn
title: Occurrence Download

description: A dataset containing 43094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cacyreus marshalli"
 ]
}

 The dataset includes 43094 records from 648 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028347-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g9gc9
title: Occurrence Download

description: A dataset containing 4165 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osmorhiza occidentalis"
 ]
}

 The dataset includes 4165 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028352-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyxe9f
title: Occurrence Download

description: A dataset containing 2272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "TaxonKey is Scabiosa columbaria"
 ]
}

 The dataset includes 2272 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028353-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yycpz3
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Bufo bufo)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 158 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028355-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4d2mgd
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Bufo bufo)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028354-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h66t55
title: Occurrence Download

description: A dataset containing 551358 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The cryptogamy collection (PC) at the Herbarium of the Muséum national d'Histoire Naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 551358 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028349-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gq25vn
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Bufo bufo)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028356-250717081556266/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.28632515.v1
title: TAILcaller

description: Supplementary materials to TAILcaller package.
DOI: 10.5524/100388
title: Supporting data for "Hybrid-denovo: A de novo OTU-picking pipeline integrating single-end and paired-end16S sequence tags"

description: Illumina paired-end sequencing has been increasingly popular for 16S rRNA gene-based microbiota profiling. It provides higher phylogenetic resolution than single-end reads due to a longer read length. However, the reverse read (R2) often has much significantly base quality and a large proportion of R2s will be discarded after quality control, resulting in a mixture of paired-end and single-end reads. A typical 16S analysis pipeline usually processes either paired-end or single-end reads but not a mixture. Thus, the quantification accuracy and statistical power will be reduced due to the loss of a large amount of reads. As a result, rare taxa may not be detectable with paired-end approach or low taxonomic resolution will be resulted with single-end approach.
<br>
To have both the higher phylogenetic resolution provided by paired-end reads and the higher sequence coverage by single-end reads, we propose a novel de novo OTU-picking pipeline, hybrid-denovo, that can process a hybrid of single-end and paired-end reads. Using high quality paired-end reads as a gold standard, we show that hybrid-denovo achieved the highest correlation with the gold standard and performed better than the approaches based on paired-end or single-end reads in terms of quantifying the microbial diversity and taxonomic abundances. By applying our method to a rheumatoid arthritis (RA) data set, we demonstrated that hybrid-denovo captured more microbial diversity and identified more RA-associated taxa than paired-end or single-end approach. Hybrid-denovo is more powerful than de novo OTU picking approaches based on paired-end or single-end 16S sequence tags, and is recommended for 16S rRNA gene targeted paired-end sequencing data.
DOI: 10.15468/dl.ty8jqk
title: Occurrence Download

description: A dataset containing 235 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is one of (IND.4_1, IND.3_1, IND.24_1, IND.21_1, IND.23_1, IND.22_1, IND.30_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Spelaeornis longicaudatus"
 ]
}

 The dataset includes 235 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028360-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwrv9u
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corylopsis veitchiana"
 ]
}

 The dataset includes 310 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028358-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8hxfw
title: Occurrence Download

description: A dataset containing 25543 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conium maculatum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25543 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028359-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16270165
title: Replication package for: "They Never Had a Chance: Unequal Opportunities and Fair Redistributions"

description: Replication package for: Dong, L., Huang, L., and Lien, J.W. (2024) "They Never Had a Chance: Unequal Opportunities and Fair Redistributions", The Economic Journal
DOI: 10.5281/zenodo.14048247
title: Replication package for: "They Never Had a Chance: Unequal Opportunities and Fair Redistributions"

description: Replication package for: Dong, L., Huang, L., and Lien, J.W. (2024) "They Never Had a Chance: Unequal Opportunities and Fair Redistributions", The Economic Journal
DOI: 10.5281/zenodo.15915548
title: Data-Driven Vulnerability Ontology

description: Overview
This ontology represents an enhanced framework for integrating heterogeneous vulnerability data from multiple authoritative cybersecurity sources. The ontology addresses critical limitations in existing theoretical models by ensuring full coherence with real-world database schemas from CVE, CWE, CAPEC, and CPE repositories.



Purpose and Scope
The Enhanced Vulnerability Ontology provides a unified semantic framework for representing and reasoning about cybersecurity vulnerabilities, weaknesses, attack patterns, and affected products. It serves as a bridge between theoretical ontological models and practical database implementations, enabling comprehensive analysis of security threats across disparate data sources.

Key Features
Data-Driven Design



Systematically validated against actual database schemas from NIST NVD, MITRE CVE, CWE, CAPEC, and CPE repositories

Resolves inconsistencies between theoretical frameworks and real-world data structures

Ensures direct correspondence between ontological properties and database fields


Comprehensive Coverage



CVE (Common Vulnerabilities and Exposures): Complete vulnerability information including CVSS metrics, references, and product configurations

CWE (Common Weakness Enumeration): Software and system weaknesses with detailed attributes, mitigations, and examples

CAPEC (Common Attack Pattern Enumeration and Classification): Attack patterns with execution flows, prerequisites, and consequences

CPE (Common Platform Enumeration): Product and platform information for vulnerability mapping

Enhanced Modeling



Unified CVSS Integration: Consolidated CVSS metrics representation versus fragmented approaches in prior work

Structured References: Enhanced reference classification with tags and metadata

Hierarchical Organization: Support for CWE categories and CAPEC abstraction levels

Complex Relationships: Rich semantic connections between vulnerabilities, weaknesses, and attack patterns
DOI: 10.15468/dl.c946zf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryctolagus cuniculus",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028361-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugtf9u
title: Occurrence Download

description: A dataset containing 5539 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carduus pycnocephalus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5539 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028362-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfjr8g
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens mildbraedii",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 74 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028363-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.