cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/vtk1-z687
title: "Experimental Synthesized Audio Samples for SGEAF"

description: "Speech synthesis has achieved human-like naturalness. However, generating speech with complex and mixed emotions remains a challenge. Discrete methods are constrained by their emotion representation paradigms, leading to unstructured or fragmented emotional feature spaces that fail to capture the spectrum of human emotion or the non-linear acoustic interactions. Continuous dimensional models, while structured, enforce mutual exclusivity between conflicting emotions, thereby struggling to represent emotions like bittersweet. This paper introduces score-guided emotion attention framework (SGEAF), a framework for controllable mixed-emotion speech synthesis that addresses these limitations. SGEAF constructs a compositional emotional feature space using a set of learnable emotion basis vectors, which represent fundamental, atomic emotion components. A multi-head attention module combines the emotion basis vectors, enabling control over mixed emotions. To imbue the emotion basis vectors with specific semantic meaning and ensure the coherence of the feature space, we propose a semantic alignment training strategy. The strategy leverages pre-computed semantic prototypes as stable regression targets, grounding the emotional feature space in perceptually meaningful semantics. Objective and subjective evaluations demonstrate that SGEAF outperforms baselines in synthesis quality and controllability. Acoustic analysis of synthesized speech demonstrates that the model captures non-linear acoustic interactions inherent in mixed emotions and enables control over single emotion intensity."
DOI: 10.2908/earn_ses10_12
title: Mean hourly earnings by sex, economic activity and collective pay agreement (2010)
title: Durchschnittlicher Stundenverdienst nach Geschlecht Wirtschaftszweig und Tarifvertrag (2010)
title: Salaire horaire moyen par sexe, activité économique et convention collective (2010)
DOI: 10.5281/zenodo.16740740
title: ASTRA DESI EDR
DOI: 10.2908/earn_ses10_13
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Alter und Wirtschaftszweig (2010)
title: Salaire horaire moyen par sexe, âge et activité économique (2010)
title: Mean hourly earnings by sex, age and economic activity (2010)
DOI: 10.2908/earn_ses10_14
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Alter und Beru - NACE Rev. 2, B-S ohne O (2010)
title: Mean hourly earnings by sex, age and occupation - NACE Rev. 2, B-S excluding O (2010)
title: Salaire horaire moyen par sexe, âge et profession - NACE Rév. 2, B-S excepté O (2010)
DOI: 10.2908/earn_ses10_15
title: Mean hourly earnings by sex, economic activity and employment contract (2010)
title: Salaire horaire moyen par sexe, activité économique et contrat de travail (2010)
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Wirtschaftszweig und Arbeitsvertrag (2010)
DOI: 10.2908/earn_ses10_17
title: Mean hourly earnings by sex, economic activity and length of service with the enterprise (2010)
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Wirtschaftszweig und Dauer der Unternehmenszugehörigkeit (2010)
title: Salaire horaire moyen par sexe, activité économique and ancienneté dans l'entreprise (2010)
DOI: 10.2908/earn_ses10_18
title: Mean hourly earnings by sex, size class of the enterprise and occupation (2010)
title: Salaire horaire moyen par sexe, classe de taille de l'entreprise et profession (2010)
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Unternehmensgrößenklassen und Beruf (2010)
DOI: 10.2908/earn_ses10_47
title: Mean hourly earnings by sex, economic activity and occupation (2010)
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Wirtschaftszweig und Beruf (2010)
title: Salaire horaire moyen par sexe, activité économique et profession (2010)
DOI: 10.2908/earn_ses14_12
title: Durchschnittlicher Stundenverdienst nach Geschlecht Wirtschaftszweig und Tarifvertrag (2014)
title: Mean hourly earnings by sex, economic activity and collective pay agreement (2014)
title: Salaire horaire moyen par sexe, activité économique et convention collective (2014)
DOI: 10.2908/earn_ses14_13
title: Mean hourly earnings by sex, age and economic activity (2014)
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Alter und Wirtschaftszweig (2014)
title: Salaire horaire moyen par sexe, âge et activité économique (2014)
DOI: 10.2908/earn_ses14_14
title: Mean hourly earnings by sex, age and occupation - NACE Rev. 2, B-S excluding O (2014)
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Alter und Beru - NACE Rev. 2, B-S ohne O (2014)
title: Salaire horaire moyen par sexe, âge et profession - NACE Rév. 2, B-S excepté O (2014)
DOI: 10.2908/earn_ses14_15
title: Mean hourly earnings by sex, economic activity and employment contract (2014)
title: Salaire horaire moyen par sexe, activité économique et contrat de travail (2014)
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Wirtschaftszweig und Arbeitsvertrag (2014)
DOI: 10.2908/earn_ses14_16
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Wirtschaftszweig und erreichtem Bildungsgrad (2014)
title: Salaire horaire moyen par activité économique, sexe, niveau d'éducation (2014)
title: Mean hourly earnings by sex, economic activity and educational attainment (2014)
DOI: 10.2908/earn_ses14_17
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Wirtschaftszweig und Dauer der Unternehmenszugehörigkeit (2014)
title: Salaire horaire moyen par sexe, activité économique and ancienneté dans l'entreprise (2014)
title: Mean hourly earnings by sex, economic activity and length of service with the enterprise (2014)
DOI: 10.2908/earn_ses14_18
title: Salaire horaire moyen par sexe, classe de taille de l'entreprise et profession (2014)
title: Mean hourly earnings by sex, size class of the enterprise and occupation (2014)
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Unternehmensgrößenklassen und Beruf (2014)
DOI: 10.2908/earn_ses14_47
title: Salaire horaire moyen par sexe, activité économique et profession (2014)
title: Mean hourly earnings by sex, economic activity and occupation (2014)
title: Durchschnittlicher Stundenverdienst nach Geschlecht, Wirtschaftszweig und Beruf (2014)
DOI: 10.2908/earn_ses14_rhr
title: Durchschnittlicher Stundenverdienst nach NUTS-1-Region (Unternehmen mit 10 Angestellten oder mehr) - NACE Rev. 2, B-S ohne O (2014)
title: Salaire horaire moyen par région NUTS 1 (entreprises avec 10 employés ou plus) - NACE Rév. 2, B-S excepté O (2014)
title: Mean hourly earnings by NUTS 1 region (enterprises with 10 employees or more) - NACE Rev. 2, B-S excluding O (2014)
DOI: 10.5281/zenodo.16632683
title: Extended Data of Digital Science Communication for Sustainability Literacy:  A Scoping Review Paper

description: The project contains the following extended data:



Extended Data Table. 

Analysis Matrix and NVIVO12 data of reviewed articles

Reporting guidelines

PRISMA-ScR Checklist 

PRISMA-ScR Flowchart
DOI: 10.5281/zenodo.16632684
title: Extended Data of Digital Science Communication for Sustainability Literacy:  A Scoping Review Paper

description: The project contains the following extended data:



Extended Data Table. 

Analysis Matrix and NVIVO12 data of reviewed articles

Reporting guidelines

PRISMA-ScR Checklist 

PRISMA-ScR Flowchart
DOI: 10.5281/zenodo.15273605
title: LUT-Bioenergy model: A spreadsheet tool designed to estimate the global sustainable bioenergy potential up to 2050 at a global-national resolution
title: The LUT-Bioenergy Model

description: The LUT-Bioenergy model is an open-access tool developed for the purpose of modeling global and national bioenergy potential in the context of energy system transitions. It enables the estimation of sustainable bioenergy across all countries worldwide and can be applied at global, regional, national, and sub-national levels, depending on the resolution of the available input data. The model evaluates waste and residue production from the agricultural, forestry, and domestic sectors for energy applications. It identifies five primary sources of sustainable biomass: crop residue, forest residue, livestock manure, humanure, and municipal solid waste from agriculture, forestry, and households. The current iteration of the model does not encompass sustainable biomass from algae, industry, and aquatic sources, although future updates may extend its scope to include a broader range.

The LUT-Bioenergy model does not incorporate energy crops due to concerns about sustainability. Shifting farmland, water, agricultural machinery, fertilizers, seeds, and fuels from food production to energy crop cultivation could exacerbate food insecurity. Additionally, the intensive irrigation needed for energy crops could significantly strain water resources. Considering these factors, the LUT-Bioenergy model exclude energy crops from its analysis, adhering to essential sustainability principles. These principles encompass ecological aspects like climate protection, biodiversity preservation, soil conservation, and water resource management, as well as socioeconomic aspects, particularly ensuring adequate food access.

The LUT-Bioenergy model functions as a data platform, providing global-national bioenergy potential data for energy modelers and policymakers. It is available in Microsoft EXCEL, a commonly used program, which makes it accessible to most users without requiring additional programming knowledge or specialized software.

 

We kindly request that you cite the journal article when using the model:

Mensah T N O, Oyewo A S, Breyer C, The global sustainable bioenergy potential until 2050 in global-national resolution, Applied Energy 2025;400:126464. https://doi.org/10.1016/j.apenergy.2025.126464.
DOI: 10.5281/zenodo.15273606
title: LUT-Bioenergy model: A spreadsheet tool designed to estimate the global sustainable bioenergy potential up to 2050 at a global-national resolution
title: The LUT-Bioenergy Model

description: The LUT-Bioenergy model is an open-access tool developed for the purpose of modeling global and national bioenergy potential in the context of energy system transitions. It enables the estimation of sustainable bioenergy across all countries worldwide and can be applied at global, regional, national, and sub-national levels, depending on the resolution of the available input data. The model evaluates waste and residue production from the agricultural, forestry, and domestic sectors for energy applications. It identifies five primary sources of sustainable biomass: crop residue, forest residue, livestock manure, humanure, and municipal solid waste from agriculture, forestry, and households. The current iteration of the model does not encompass sustainable biomass from algae, industry, and aquatic sources, although future updates may extend its scope to include a broader range.

The LUT-Bioenergy model does not incorporate energy crops due to concerns about sustainability. Shifting farmland, water, agricultural machinery, fertilizers, seeds, and fuels from food production to energy crop cultivation could exacerbate food insecurity. Additionally, the intensive irrigation needed for energy crops could significantly strain water resources. Considering these factors, the LUT-Bioenergy model exclude energy crops from its analysis, adhering to essential sustainability principles. These principles encompass ecological aspects like climate protection, biodiversity preservation, soil conservation, and water resource management, as well as socioeconomic aspects, particularly ensuring adequate food access.

The LUT-Bioenergy model functions as a data platform, providing global-national bioenergy potential data for energy modelers and policymakers. It is available in Microsoft EXCEL, a commonly used program, which makes it accessible to most users without requiring additional programming knowledge or specialized software.

 

We kindly request that you cite the journal article when using the model:

Mensah T N O, Oyewo A S, Breyer C, The global sustainable bioenergy potential until 2050 in global-national resolution, Applied Energy 2025;400:126464. https://doi.org/10.1016/j.apenergy.2025.126464.
DOI: 10.15468/dl.pabyq4
title: Occurrence Download

description: A dataset containing 0 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 (Rhinella granulosa)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024977-250802193616735/datasets/export for details.
DOI: 10.15468/dl.khneuz
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corydoras multimaculatus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024979-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cc8a7h
title: Occurrence Download

description: A dataset containing 110984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pycnonotus capensis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 110984 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024950-250802193616735/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.29851819.v1
title: pythonProject from Associative-memory network of Winfree-type oscillators and binary pattern retrieval: theory and algorithm

description: Contains codes and data for Figures 2, 3, 4, 5, 7
DOI: 10.6084/m9.figshare.29851819
title: pythonProject from Associative-memory network of Winfree-type oscillators and binary pattern retrieval: theory and algorithm

description: Contains codes and data for Figures 2, 3, 4, 5, 7
DOI: 10.15468/dl.rn2ad2
title: Occurrence Download

description: A dataset listing the 4049559 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 4049559 records were derived from 75088 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024973-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z42mwd
title: Occurrence Download

description: A dataset containing 0 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 (Rhinella granulosa)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024980-250802193616735/datasets/export for details.
DOI: 10.15468/dl.cy8qcr
title: Occurrence Download

description: A dataset containing 0 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 (Rhinella granulosa)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024981-250802193616735/datasets/export for details.
DOI: 10.15468/dl.3prmbf
title: Occurrence Download

description: A dataset containing 0 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 (Rhinella granulosa)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024982-250802193616735/datasets/export for details.
DOI: 10.15468/dl.fppvca
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudeutropius mitchelli)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024983-250802193616735/datasets/export for details.
DOI: 10.15468/dl.tdag78
title: Occurrence Download

description: A dataset containing 24601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.665268578288664 48.25197073307624, 16.900759257043696 48.23747308478536, 16.9225330323594 48.39589285418887, 16.686309942675752 48.41044311539586, 16.665268578288664 48.25197073307624))"
 ]
}

 The dataset includes 24601 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024984-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xtyzbq
title: Occurrence Download

description: A dataset containing 173614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pycnonotus goiavier)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 173614 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024975-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16448323
title: First Identification of blaNDM-16b-Harboring IncX3 Plasmid in Pediatric Klebsiella pneumoniae Reveals Cross-Species Dissemination and Clinical Risk Patterns

description: Updated Version: Removed original 'Sample Information.xlsx' file containing potentially identifiable information as per journal requirements. Uploaded new de-identified 'Clinical Information.xlsx' file. No other changes to data or methodology.
DOI: 10.15468/dl.7dn7vn
title: Occurrence Download

description: A dataset containing 0 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 (Apostolepis gaboi)",
 "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 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024987-250802193616735/datasets/export for details.
DOI: 10.15468/dl.h65ssh
title: Occurrence Download

description: A dataset containing 0 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 (Apostolepis gaboi)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024985-250802193616735/datasets/export for details.