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

description: A dataset containing 18781 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 (Emberiza schoeniclus)",
 "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 18781 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030527-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27h8jg
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 (Emberiza schoeniclus)",
 "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/0030528-250717081556266/datasets/export for details.
DOI: 10.17632/z5rwz2fxkb
title: P-V-T data of liquid Fe-Si alloys under the outer core conditions by FP-MD simulations

description: P-V-T data of liquid Fe-Si alloys under the outer core conditions by FP-MD simulations
DOI: 10.17632/z5rwz2fxkb.1
title: P-V-T data of liquid Fe-Si alloys under the outer core conditions by FP-MD simulations

description: P-V-T data of liquid Fe-Si alloys under the outer core conditions by FP-MD simulations
DOI: 10.15468/dl.m748bw
title: Occurrence Download

description: A dataset containing 11 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 (Emberiza schoeniclus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030529-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72mgsu
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Washingtonia filifera",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030531-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scnr4y
title: Occurrence Download

description: A dataset containing 562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atriplex semibaccata",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 562 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030530-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8xd8bd4hd5.2
title: Global Records of Cultivated Fragaria × ananassa for Climate Modeling and Adaptive Management in Chile

description: This dataset compiles 112 georeferenced occurrence records of Fragaria × ananassa (cultivated strawberry), obtained through an extensive literature review aimed at identifying open-field cultivation sites worldwide. These data were generated to support the research presented in the article “Thermal Vulnerability and Potential Cultivation Areas of Four Day-Neutral Strawberries in Chile: Implications for Climate Adaptation”, which analyzes the thermal sensitivity of strawberry leaves and flowers, as well as potential shifts in suitable cultivation areas under climate change scenarios in Chile.
The dataset includes the following fields: source title, authors, year of publication, country, DOI or URL, locality name, latitude and longitude (in decimal degrees), and a description of the cultivation environment (e.g., open field, greenhouse). Each record corresponds to a separate row, providing structured and detailed information for each occurrence.
The occurrence dataset was used to identify and map suitable climatic conditions for cultivated strawberries, supporting species distribution modeling (SDM) under current and projected climate scenarios.
This curated dataset complements the occurrence records available through the Global Biodiversity Information Facility (GBIF), contributing to a more comprehensive global representation of current strawberry cultivation sites. It aims to facilitate SDM analyses, projections of climate-driven shifts in cultivation potential, and the development of strategies to enhance crop resilience in the face of climate change.
DOI: 10.48610/760cdba
title: The unrealised potential of agroforestry (Raw drone images GHA 2022 Part B)

description: This dataset is part of a larger collection accompanying the analysis presented in “The unrealized potential of agroforestry for an emissions-intensive agricultural commodity” (Becker et al., Nature Sustainability, 2025). The full dataset has been published via UQ eSpace as a series of interlinked records, each representing a different stage of the research workflow—from raw imagery to processed data products and analysis code.

This subset (Part B) includes imagery from farms P71 to P180, collected in 2022 as part of a stratified sampling design in Ghana. It is one of several folders containing raw drone imagery—unprocessed aerial photographs (JPEGs)—captured during field surveys across cocoa farms in Ghana between 2021 and 2022.

These images were collected as part of a broader effort to map shade-tree cover and aboveground biomass using drone-based ground-truth data and machine learning. The raw images in this folder served as the basis for generating orthomosaics, digital surface models, digital terrain models, and vegetation height estimates.
DOI: 10.17632/5zyzp8tpkj
title: Avalos et al. Rench´s rule in Costa Rican hummingbirds

description: We examined sexual size dimorphism (SSD) in body mass across 45 species of Costa Rican hummingbirds to test conformity with Rensch’s rule, which predicts increasing SSD with body size when males are larger. Using Bayesian phylogenetic regression, we found that the group conformed to Rensch’s rule, with a regression slope of male vs. female body mass significantly less than 1 (0.84), indicating male-biased allometry in 80% of species. SSD averaged 12% and was significantly associated only with male body mass. These findings suggest that physiological constraints—linked to high metabolic demands, energy-rich diets, and the costs of hovering flight—limit SSD variation in hummingbirds regardless of size, while also implying that selective pressures act differently on each sex, potentially driving sexual niche segregation.
DOI: 10.17632/5zyzp8tpkj.1
title: Avalos et al. Rench´s rule in Costa Rican hummingbirds

description: We examined sexual size dimorphism (SSD) in body mass across 45 species of Costa Rican hummingbirds to test conformity with Rensch’s rule, which predicts increasing SSD with body size when males are larger. Using Bayesian phylogenetic regression, we found that the group conformed to Rensch’s rule, with a regression slope of male vs. female body mass significantly less than 1 (0.84), indicating male-biased allometry in 80% of species. SSD averaged 12% and was significantly associated only with male body mass. These findings suggest that physiological constraints—linked to high metabolic demands, energy-rich diets, and the costs of hovering flight—limit SSD variation in hummingbirds regardless of size, while also implying that selective pressures act differently on each sex, potentially driving sexual niche segregation.
DOI: 10.15468/dl.bjy8e6
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypericum kiboense",
 "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 27 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030532-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmv34j
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erebia meolans"
 ]
}

 The dataset includes 326 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030535-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8db59n6f57
title: Low-carb and low-fat diets show similar effects on inflammatory markers and adipokines: systematic review and meta-analysis of randomized trials

description: Chronic low-grade inflammation is implicated in obesity and related diseases. Dietary composition may modulate inflammatory responses, but the comparative effects of low-carb (LC) and low-fat (LF) diets remain unclear. We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) assessing the impact of LC versus LF diets on circulating levels of IL-6, CRP, TNF-α, adiponectin, leptin, and resistin in adults. Literature searches were conducted in four databases through June 2025. Two independent reviewers screened and extracted data. Meta-analyses using random-effects models were performed; outcomes were reported as standardized mean differences (SMD) with 95% confidence intervals (CI).
DOI: 10.17632/8db59n6f57.1
title: Low-carb and low-fat diets show similar effects on inflammatory markers and adipokines: systematic review and meta-analysis of randomized trials

description: Chronic low-grade inflammation is implicated in obesity and related diseases. Dietary composition may modulate inflammatory responses, but the comparative effects of low-carb (LC) and low-fat (LF) diets remain unclear. We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs) assessing the impact of LC versus LF diets on circulating levels of IL-6, CRP, TNF-α, adiponectin, leptin, and resistin in adults. Literature searches were conducted in four databases through June 2025. Two independent reviewers screened and extracted data. Meta-analyses using random-effects models were performed; outcomes were reported as standardized mean differences (SMD) with 95% confidence intervals (CI).
DOI: 10.15468/dl.p6p84p
title: Occurrence Download

description: A dataset containing 2260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Atriplex semibaccata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2260 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030536-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxyy9x
title: Occurrence Download

description: A dataset containing 9473 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pimpinella saxifraga",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9473 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030537-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3jjjh5fmvt
title: Raw Dataset from Eye Tracking and Visual Perception Study on Vertical Greenery Systems in Delhi
DOI: 10.17632/3jjjh5fmvt.1
title: Raw Dataset from Eye Tracking and Visual Perception Study on Vertical Greenery Systems in Delhi
DOI: 10.5281/zenodo.16337958
title: Well-being at the Frontlines: Leadership Strategies for Building Up Strong Resources Among Emergency Responders: Online Supplement

description: This is the online supplement for a mixed-methods article on resource-oriented leadership in emergency organizations.

Abstract: Repeated exposure to extreme events and other demanding missions can erode protective resources among emergency responders, causing health problems that, in turn, jeopardize their readiness and performance. Using a mixed-methods approach, this article examines how leaders of emergency responders can systematically maintain and even enhance their subordinates’ well-being. To identify effective leadership strategies, we conducted in-depth interviews with 25 fire chiefs, 25 platoon leaders, and 26 subordinates from the German fire services. Employing the critical incident technique, we explored leadership processes both during emergency situations and during interim phases (training, standby time, etc.). Person-oriented leadership (developing, group-serving, and caring behavior) was described as fostering various resource gains, while task-oriented leadership (directive and problem-solving behavior) was reported to mitigate resource threats. Moreover, the interviews underscore the importance of interim phases in enhancing well-being. A cross-sectional survey with firefighters and members of a technical relief organization (N = 459) supported the qualitative findings. We integrate our results into a framework that links leadership in emergency organizations to subordinates’ well-being and readiness in demanding work contexts. Moreover, we discuss the generalizability of our results to other high-risk work contexts. 

The study was approved by the ethics committee of the Faculty of Psychology & Sports Science of [institution anonymized for review].

This online supplement includes



STUDY1_GermanFireServices.pdf: Description of the organizational differences between volunteer and professional firefighters in Germany

STUDY1_InterviewGuides.pdf: All interview guides used in Study 1 (English translations)

STUDY1_CI-summaries.pdf: Short summaries of all critical incidents collected in Study 1

STUDY1_AnalysisDetails.pdf: Supplementary material on the qualitative analysis of the interviews conducted in Study 1

STUDY2_Codebook.xlsx: a codebook describing all instructions and items of Study 2

rawData_Study2.csv: raw data of Study 2 (anonymised; the raw data contains only the information of persons who were included in the analysis and have agreed to it.)

STUDY2_AnalysisScript.R: An analysis script based on R

STUDY2_Supplemental-Analyses.pdf: supplemental analyses including comparisons between final sample and dropout, comparisons between subgroups, detailed descriptive analyses
DOI: 10.48610/eb36fd7
title: The unrealised potential of agroforestry (Raw drone images GHA 2022 Part C)

description: This dataset is part of a larger collection accompanying the analysis presented in “The unrealized potential of agroforestry for an emissions-intensive agricultural commodity” (Becker et al., Nature Sustainability, 2025). The full dataset has been published via UQ eSpace as a series of interlinked records, each representing a different stage of the research workflow—from raw imagery to processed data products and analysis code.

This subset (Part C) includes imagery from farms P181 to P270, collected in 2022 as part of a stratified sampling design in Ghana. It is one of several folders containing raw drone imagery—unprocessed aerial photographs (JPEGs)—captured during field surveys across cocoa farms in Ghana between 2021 and 2022.

These images were collected as part of a broader effort to map shade-tree cover and aboveground biomass using drone-based ground-truth data and machine learning. The raw images in this folder served as the basis for generating orthomosaics, digital surface models, digital terrain models, and vegetation height estimates.
DOI: 10.17632/xcy253p859
title: Impact of Digital Media on Political Campaigns in Africa

description: **Abstract**
This paper explores how digital media—specifically WhatsApp, Facebook, and Twitter—has transformed political campaigning in Africa. Platforms like Twitter in South Africa and direct messaging in Nigeria, Kenya, and Ghana bypass traditional media, enabling politicians to reach voters directly. Using Adaptive Structuration and Media Richness theories, the study highlights the erosion of traditional gatekeepers, increased political participation, and enhanced information verification. While digital media boosts political awareness and democratization, it also complicates political engagement by overwhelming users with diverse information sources.
DOI: 10.17632/xcy253p859.2
title: Impact of Digital Media on Political Campaigns in Africa

description: **Abstract**
This paper explores how digital media—specifically WhatsApp, Facebook, and Twitter—has transformed political campaigning in Africa. Platforms like Twitter in South Africa and direct messaging in Nigeria, Kenya, and Ghana bypass traditional media, enabling politicians to reach voters directly. Using Adaptive Structuration and Media Richness theories, the study highlights the erosion of traditional gatekeepers, increased political participation, and enhanced information verification. While digital media boosts political awareness and democratization, it also complicates political engagement by overwhelming users with diverse information sources.
DOI: 10.17632/4njm7h8thk
title: Assessment of Strength and Stability in Cold Asphalt Mixtures Reinforced with 0.20% and 0.25% Polypropylene Microfibers

description: Imágenes de proceso de fabricación de mezclas asfálticas en frío modificadas con microfibras
DOI: 10.34740/kaggle/dsv/12548492
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17632/4njm7h8thk.1
title: Assessment of Strength and Stability in Cold Asphalt Mixtures Reinforced with 0.20% and 0.25% Polypropylene Microfibers

description: Imágenes de proceso de fabricación de mezclas asfálticas en frío modificadas con microfibras
DOI: 10.15468/dl.24m8jc
title: Occurrence Download

description: A dataset containing 174 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 (Emberiza schoeniclus)",
 "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 174 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030538-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/b984bf4
title: The unrealised potential of agroforestry (Raw drone images GHA 2022 High Shade Part A)

description: This dataset is part of a larger collection accompanying the analysis presented in “The unrealized potential of agroforestry for an emissions-intensive agricultural commodity” (Becker et al., Nature Sustainability, 2025). The full dataset has been published via UQ eSpace as a series of interlinked records, each representing a different stage of the research workflow—from raw imagery to processed data products and analysis code.

This subset (High Shade Part A) includes imagery from farms H05 to H67, collected in 2022 in Ghana. These farms were not selected using the original stratified sampling design, but were instead targeted specifically for their higher shade levels. It is one of several folders containing raw drone imagery—unprocessed aerial photographs (JPEGs)—captured during field surveys across cocoa farms in Ghana between 2021 and 2022.

These images were collected as part of a broader effort to map shade-tree cover and aboveground biomass using drone-based ground-truth data and machine learning. The raw images in this folder served as the basis for generating orthomosaics, digital surface models, digital terrain models, and vegetation height estimates.
DOI: 10.17632/bytm2crv8b
title: SHAPE_FILES_Metro Station Proximity and Housing Price Dynamics in a Polycentric City: An Agent-Based Residential Choice Model

description: There are the ShapeFiles inputs for the simulation model. "Medellin" file contains sociodemographic and economic data.
DOI: 10.17632/bytm2crv8b.1
title: SHAPE_FILES_Metro Station Proximity and Housing Price Dynamics in a Polycentric City: An Agent-Based Residential Choice Model

description: There are the ShapeFiles inputs for the simulation model. "Medellin" file contains sociodemographic and economic data.
DOI: 10.15468/dl.rwam4b
title: Occurrence Download

description: A dataset containing 1458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Panama, Costa Rica, Colombia, Ecuador)",
 "OccurrenceStatus is Present",
 "TaxonKey is Hydrophis platurus"
 ]
}

 The dataset includes 1458 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030539-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.