cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/6wx-fh7-sy5
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lgr-p5b-tcy
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zgd-2jh-cny
title: Pongo pygmaeus (Linnaeus, 1760)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/41c-wp4-gx0
title: Crocodylus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h81-a58-tq6
title: Sus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17632/rgcv7s7nkd
title: Study on reaction characteristics of co-gasification of sludge and biomass

description: Data support for "Study on reaction characteristics of co-gasification of sludge and biomass"
DOI: 10.17632/rgcv7s7nkd.1
title: Study on reaction characteristics of co-gasification of sludge and biomass

description: Data support for "Study on reaction characteristics of co-gasification of sludge and biomass"
DOI: 10.17632/2sjgtp3866
title: Strategic management practices and SME performance in Somaliland: The moderating role of access to finance

description: this primary data for Small medium enterprise in Burao city, Somaliland
DOI: 10.17632/2sjgtp3866.1
title: Strategic management practices and SME performance in Somaliland: The moderating role of access to finance

description: this primary data for Small medium enterprise in Burao city, Somaliland
DOI: 10.17632/b38xh6n852
title: Dataset on Gender Equality Paradox and Teacher Experience in Vietnam under Sustainable Development Goal 4.7

description: This dataset was generated from a quantitative study examining the gender equality paradox within the Vietnamese teaching profession. Although women constitute the majority of the teaching workforce in Vietnam, they remain underrepresented in leadership, decision-making, and career advancement. The dataset was developed to investigate how gender influences teachers’ perceptions of gender inequality and to assess the mediating role of employee experience within an organizational and cultural context.
The data were collected through an online survey administered to 283 in-service teachers across multiple educational levels in Vietnam between March and August 2025. The questionnaire measured two main constructs: perceived gender inequality and teacher employee experience. All items were assessed using a five-point Likert scale and were adapted from established theoretical and empirical studies, contextualized to the Vietnamese education system.

The dataset was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Measurement reliability and validity were confirmed through outer loadings, Cronbach’s alpha, composite reliability, average variance extracted, and discriminant validity criteria. Structural model analysis examined direct and indirect relationships between gender, employee experience, and perceptions of gender inequality.
The findings derived from this dataset provide empirical evidence that gender differences in perceived inequality are shaped primarily through organizational and professional experiences rather than individual prejudice alone. The dataset supports research on substantive equality and highlights the relevance of human rights education as an institutional mechanism for addressing structural gender inequality in education, contributing to policy discussions related to Sustainable Development Goal 4.7.
Limitations of the dataset include its cross-sectional design and convenience sampling approach, which restrict causal inference. Nevertheless, the dataset offers valuable opportunities for secondary analysis, comparative studies, and longitudinal extensions focusing on gender, professional experience, and equity in education systems.
DOI: 10.17632/b38xh6n852.1
title: Dataset on Gender Equality Paradox and Teacher Experience in Vietnam under Sustainable Development Goal 4.7

description: This dataset was generated from a quantitative study examining the gender equality paradox within the Vietnamese teaching profession. Although women constitute the majority of the teaching workforce in Vietnam, they remain underrepresented in leadership, decision-making, and career advancement. The dataset was developed to investigate how gender influences teachers’ perceptions of gender inequality and to assess the mediating role of employee experience within an organizational and cultural context.
The data were collected through an online survey administered to 283 in-service teachers across multiple educational levels in Vietnam between March and August 2025. The questionnaire measured two main constructs: perceived gender inequality and teacher employee experience. All items were assessed using a five-point Likert scale and were adapted from established theoretical and empirical studies, contextualized to the Vietnamese education system.

The dataset was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Measurement reliability and validity were confirmed through outer loadings, Cronbach’s alpha, composite reliability, average variance extracted, and discriminant validity criteria. Structural model analysis examined direct and indirect relationships between gender, employee experience, and perceptions of gender inequality.
The findings derived from this dataset provide empirical evidence that gender differences in perceived inequality are shaped primarily through organizational and professional experiences rather than individual prejudice alone. The dataset supports research on substantive equality and highlights the relevance of human rights education as an institutional mechanism for addressing structural gender inequality in education, contributing to policy discussions related to Sustainable Development Goal 4.7.
Limitations of the dataset include its cross-sectional design and convenience sampling approach, which restrict causal inference. Nevertheless, the dataset offers valuable opportunities for secondary analysis, comparative studies, and longitudinal extensions focusing on gender, professional experience, and equity in education systems.
DOI: 10.17632/6rg4hk6728.2
title: Dataset on NAFLD Severity Classification with Ultrasound Liver Image & Clinical Data

description: This dateset contains three stage of liver condition along with clinical data and demographic data on the classification of Non-Alcoholic Fatty Liver Disease (NAFLD). This dataset meant to help in medical image analysis, machine learning, and deep learning for early liver disease detection and severity assessment. 
The ultrasound images are acquired with standard diagnostic ultrasound equipment in B-mode. Ultrasound imaging is a widely used, and cost-effective modality for liver assessment, making it particularly suitable for large-scale screening and early detection of NAFLD. Each sample is labelled according to NAFLD status, and disease severity grades (Normal, Benign, Malignant). These labels enable both binary and multi-classification tasks.
Along with images of liver, we include clinical and demographic data relevant to NAFLD diagnosis. The clinical data included with patient age, gender, body mass index (BMI), liver enzyme measurements such as alanine aminotransferase (ALT) and aspartate aminotransferase (AST), waist size, glucose, cholesterol such as (LDL,HDL, Triglycerides). This combination of data (image and Tabular) makes possible research on multi-modal learning, which improve diagnostic accuracy and model robustness. 
All data on our dataset are anonymized to de-identified patient's personal information and to ensure compliance with ethical research standards and data protection guidelines. The dataset is strictly provided for research and educational purposes and does not contain any information that can be used to identify individual patients.
This dataset can be used for image preprocessing, classical machine learning classification, convolutional neural network (CNN)-based deep learning, disease severity grading, and comparative studies between image-only and multi-modal diagnostic approaches. the dataset Publicly accessible under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.17632/8x3y24mpxx
title: Lncrna6470 Sponges ace-miR-750-Y to Modulate the Immune Response of Honeybee Larvae to Fungal Infection

description: This is an original document titled "Lncrna6470 Sponges ace-miR-750-Y to Modulate the Immune Response of Honeybee Larvae to Fungal Infection"
DOI: 10.17632/8x3y24mpxx.1
title: Lncrna6470 Sponges ace-miR-750-Y to Modulate the Immune Response of Honeybee Larvae to Fungal Infection

description: This is an original document titled "Lncrna6470 Sponges ace-miR-750-Y to Modulate the Immune Response of Honeybee Larvae to Fungal Infection"
DOI: 10.15468/dl.ktbk2k
title: Occurrence Download

description: A dataset containing 1007 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Epipactis palustris)",
 "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 1007 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000369-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzhbq2
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Setaria viridis gigantea"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000370-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cjp3trtjcw
title: Modeling the Social Media Monetization Process in Digital Business: A Case Study of Vanderleigh

description: The data is filled by the evidence of the research
DOI: 10.17632/cjp3trtjcw.1
title: Modeling the Social Media Monetization Process in Digital Business: A Case Study of Vanderleigh

description: The data is filled by the evidence of the research
DOI: 10.5683/sp3/shxdjn
title: Grizzly Bear Diet in British Columbia at 1km resolution

description: Output maps of the proportion of different foods in the diet of male and female grizzly bears from Van Elslander et al. 2026. 
We estimated the proportion of vegetation, terrestrial meat, anadromous salmon, and non-anadromous kokanee salmon (“kokanee”) in individual bears’ diet from isotopic signatures using the Bayesian mixing model framework MixSIAR in R. Due to the broad spatial scale of this study and the spatial variation in the isotopic signatures of different dietary sources across B.C., we divided the province into ten different MixSIAR models based on the B.C. government’s Ecoprovinces and Ecoregions, watershed boundaries, and fish ranges. Using the outputs from those ten models, we then generated fine-scale predictive maps (1 km2 resolution) of the proportion of anadromous salmon, terrestrial meat, kokanee, and vegetation in the diet of male (967 individuals) and female (653 individuals) grizzly bears across B.C. using generalized additive mixed-effects models with spatial random fields. The response variable for each spatial model was the mean diet source proportion estimated by MixSIAR, while we included different environmental parameters in each model as predictor variables.
DOI: 10.71782/data/onymfm
title: Datasets for Evaluation of the Agricultural Green Competitiveness in the European Union

description: Analysis of the 15 indicators selected from different data bases to calculate the green competitiveness index of agriculture. The data of the 27 EU Member States: Austria (AT), Belgium (BE), Bulgaria (BG), Croatia (HR), Czech Republic (CZ), Cyprus (CY), Denmark (DK), Estonia (EE), Finland (FI), France (FR), Germany (DE), Greece (EL), Hungary (HU), Ireland (IE), Italy (IT), Latvia (LV), Lithuania (LT), Luxembourg (LU), Malta (MT), the Netherlands (NL), Poland (PL), Portugal (PT), Romania (RO), Slovakia (SK), Slovenia (SI), Spain (ES) and Sweden (SE) were analysed.
DOI: 10.15468/dl.qzrqnm
title: Occurrence Download

description: A dataset containing 2173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erica carnea, Erica herbacea, Erica herbacea)",
 "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 2173 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000371-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35097/pctztys3s03d1ewc
title: NRW school project 2022

description: On behalf of the State Chancellery of North Rhine-Westphalia, the Motor Test 1 (MT1) is used as an admission criterion for 5th grade at NRW sports schools under the leadership of the Research Center for Physical Education and Sports of Children and Young People. Since the 2007/08 school year, MT1 has been carried out at NRW sports schools (18 locations, 32 partner schools). The MT1 is equivalent to the German Motor Test. The goal at NRW sports schools is to create ideal conditions for students in grade 5 and above to get started in competitive sports. In grade 7, the MT1 is repeated along with four additional motor test tasks to assess the development of motor performance.
description: Querschnitt
description: Messung/Test
description: Zeitliches Forschungsdesign Querschnitt
description: Erhebungsverfahren Messung/Test
DOI: 10.15468/dl.7mne9w
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erica tetralix)",
 "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 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000373-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18304079
title: Rhynchosida Fryxell. 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 16:53
DOI: 10.5281/zenodo.18304080
title: Rhynchosida Fryxell. 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 16:53
DOI: 10.15468/dl.m56d7y
title: Occurrence Download

description: A dataset containing 92970 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Esox lucius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 92970 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000350-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/99zz75dn4c
title: Replication materials for “Upstream Intergenerational Transfers, Agricultural Technology Choice, and Conspicuous Consumption: Evidence from Rural Togo”

description: This repository contains the replication materials for the paper:
“Upstream Intergenerational Transfers, Agricultural Technology Choice, and Conspicuous Consumption: Evidence from Rural Togo”.

Contents:
- Stata do-files to clean the row data and reproduce tables and figures in the manuscript.
- Derived datasets.
-A read_me file

Data access:
The underlying microdata come from the LSMS Togo 2021–2022 survey and are available through the World Bank Microdata Library, subject to the provider’s terms of use. 

Embargo:
This dataset is under embargo until acceptance-publication of the associated article.
DOI: 10.15468/dl.q6as22
title: Occurrence Download

description: A dataset containing 864484753 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 864484753 records from 33532 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020779-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.guck7m
title: Occurrence Download

description: A dataset containing 47891 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Portuguese Moth Recording Scheme"
 ]
}

 The dataset includes 47891 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006906-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110815888
title: Proto-Sinaitic Inscription 364

description: [Text Description:] Proto-Sinaitic Inscription ❧ [Text or Publication Number Note:] Sinai 364 ❧ [Excavation Description:] Discovered in 1930 in dumps in front of Mine M ❧ [Medium:] Stone ❧ [Script Note:] Early Alphabetic ❧ [Physical Object Description:] Stone plaque (fragment?), 14 x 12 cm
DOI: 10.25549/inscriptifact-ouc110815902
title: Proto-Sinaitic Inscription 375c

description: [Text Description:] Proto-Sinaitic Inscription ❧ [Text or Publication Number Note:] Sinai 375c ❧ [Excavation Description:] Discovered in 1935 in excavation of Mine M ❧ [Medium:] Stone ❧ [Script Note:] Early Alphabetic ❧ [Physical Object Description:] Stone slabe (stele?), 22 x 16 cm
DOI: 10.25549/inscriptifact-ouc110815785
title: Proto-Sinaitic Inscription 366

description: [Text Description:] Proto-Sinaitic Inscription ❧ [Text or Publication Number Note:] Sinai 366 ❧ [Excavation Description:] Discovered in 1930 near the entrance of Mine L, near the entrance, at Serabit el-Khadem ❧ [Medium:] Stone ❧ [Script Note:] Early Alphabetic ❧ [Physical Object Description:] Trapezoidal stone plaque (complete?), 13 x 9 cm
DOI: 10.25549/inscriptifact-ouc110819896
title: Persepolis Fortification Elamite Tablet 2272.101, Fort 2272.101

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 2272.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. ❧ [Physical Object Note:] Upper left, upper right and lower right corners broken off. Damage on obverse, reverse.
DOI: 10.25549/inscriptifact-ouc110819921
title: Persepolis Fortification Elamite Tablet 2267.101, Fort 2267.101

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] Fort 2267.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on right edge. ❧ [Physical Object Note:] Left side of tablet missing.
DOI: 10.25549/inscriptifact-ouc110819894
title: Persepolis Fortification Elamite Tablet 2272.101, Fort 2272.101

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 2272.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. ❧ [Physical Object Note:] Upper left, upper right and lower right corners broken off. Damage on obverse, reverse.
DOI: 10.25549/inscriptifact-ouc110819781
title: Persepolis Fortification Elamite Tablet 2267.101, Fort 2267.101

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] Fort 2267.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on right edge. ❧ [Physical Object Note:] Left side of tablet missing.
DOI: 10.15468/dl.6292hz
title: Occurrence Download

description: A dataset containing 40515 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thuja plicata"
 ]
}

 The dataset includes 40515 records from 520 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046808-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13799673
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.jxd859
title: Occurrence Download

description: A dataset containing 7531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "GadmGid is IND.20_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 7531 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046809-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6xfwv
title: Occurrence Download

description: A dataset containing 8648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (North America, Asia, Africa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lemna minor"
 ]
}

 The dataset includes 8648 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046811-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.