cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14862654
title: Global Lithium-Sulfur Battery Market 2025 To 2034

description: Lithium-Sulfur Battery Market Size, Trends and Insights By Component (Anode, Cathode, Electrolyte, Separator, Others), By Battery Capacity (Low Capacity, Medium Capacity, High Capacity), By End-Use Industry (Automotive, Consumer Electronics, Energy Storage Systems, Aerospace and Defense, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the global Lithium-Sulfur Battery Market is expected to record a CAGR of 38.2% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 90.1 Million. By 2033, the valuation is anticipated to reach USD 1,654.5 Million.

The Lithium-Sulfur Battery Market encompasses the global trade of advanced rechargeable battery systems utilizing lithium metal and sulfur as primary components. These batteries offer high energy density, lightweight construction, and potential for cost-effectiveness compared to traditional lithium-ion batteries.

Key applications include electric vehicles, portable electronics, grid energy storage, and aerospace. Market growth is fueled by increasing demand for sustainable energy solutions, advancements in battery technology, and government initiatives promoting clean transportation.

Key players in the market engage in research, development, and commercialization efforts to capitalize on emerging opportunities and address challenges related to performance, safety, and scalability.

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DOI: 10.5281/zenodo.14862680
title: US Portable Generator Market 2025 To 2034

description: US Portable Generator Market Size, Trends and Insights By Fuel (Gasoline, Diesel, Others), By Power Output (More than 10kW, 3-10kW, Less than 3kW), By Application (Domestic, Industrial, Commercial), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the US Portable Generator Market is expected to record a CAGR of 4.8% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 1,316.4 Million. By 2033, the valuation is anticipated to reach USD 2,007.4 Million.

The US portable generator market encompasses a diverse range of generators designed for residential, commercial, industrial, and recreational applications. Fueled by factors such as frequent weather-related emergencies, aging power infrastructure, and increasing demand for backup power solutions, the market has witnessed steady growth.

Key players in the industry continually innovate to offer advanced technologies, including smart monitoring systems and cleaner fuel options, to meet evolving consumer preferences. Additionally, the market has seen an uptick in online retail channels and government initiatives promoting emergency preparedness, further contributing to market expansion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=52884
DOI: 10.5281/zenodo.14862681
title: US Portable Generator Market 2025 To 2034

description: US Portable Generator Market Size, Trends and Insights By Fuel (Gasoline, Diesel, Others), By Power Output (More than 10kW, 3-10kW, Less than 3kW), By Application (Domestic, Industrial, Commercial), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the US Portable Generator Market is expected to record a CAGR of 4.8% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 1,316.4 Million. By 2033, the valuation is anticipated to reach USD 2,007.4 Million.

The US portable generator market encompasses a diverse range of generators designed for residential, commercial, industrial, and recreational applications. Fueled by factors such as frequent weather-related emergencies, aging power infrastructure, and increasing demand for backup power solutions, the market has witnessed steady growth.

Key players in the industry continually innovate to offer advanced technologies, including smart monitoring systems and cleaner fuel options, to meet evolving consumer preferences. Additionally, the market has seen an uptick in online retail channels and government initiatives promoting emergency preparedness, further contributing to market expansion.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=52884
DOI: 10.26186/150073
title: Historical climate TC wind hazard assessment for Queensland

description: Tropical cyclone wind hazard across Queensland and the Coral Sea was evaluated using Geoscience Australia's Tropical Cyclone Risk Model (TCRM), which provides a spatial representation of the AEP wind speeds arising from tropical cyclones, as part of the <em>Severe Wind Hazard Assessment for South East Queensland</em> (SWHA-SEQ) project. The project is a collaboration between Queensland Fire and Emergency Services (QFES), Geoscience Australia, James Cook University (JCU) and six coastal local governments in South East Queensland.<br>This regional wind hazard data underpins a local-scale risk assessment for South East Queensland, which included the effects of synoptic and severe thunderstorms on wind hazard. The assessment aslo provides a baseline for projections of future TC wind hazard in the Queensland region. Details of the hazard assessment are provided in the <em>Severe Wind Hazard Assessment for South East Queensland – SWHA-SEQ Technical Report</em> (https://pid.geoscience.gov.au/dataset/ga/147446). <br>
DOI: 10.3886/e202444v1-167501
title: Data and Code for: Polity size and local government performance: evidence from India

description: Developing countries have increasingly decentralized power to local governments. This paper studies the implications of a central element of decentralization -- polity size -- using population-based discontinuities that determine local government boundaries for over 100,000 Indian villages. Over the short and long-run, individuals allocated into local governments with smaller populations have better access to public goods. We provide suggestive evidence that these results are related to heightened civic engagement and stronger political incentives, but not to other mechanisms such as elite capture.
DOI: 10.26036/cnp0006426
title: Nymphoides hydrophylla

description: The genome assembly of hydrophylla
DOI: 10.5281/zenodo.14862446
title: NHANES data
DOI: 10.5281/zenodo.14862447
title: NHANES data
DOI: 10.5281/zenodo.14862704
title: Global Solar Tree Market 2025 To 2034

description: Solar Tree Market Size, Trends and Insights By Component (Battery, Solar PV Modules, Cables and Connectors, Others), By Connectivity (Off-Grid, On-Grid), By Application (Residential, Commercial and Industrial, Utilities), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Solar Tree  Market was valued at USD 250.2 Million in 2024 and is expected to reach USD 434.3 Million by 2033, at a CAGR of 5.7% during the forecast period 2024 – 2033.

A solar tree is a structure that incorporates solar panels arranged in a canopy-like resembling the branches of a tree. These solar panels typically harness sunlight to generate electricity, providing renewable energy for various applications such as lighting, charging stations, or powering small devices.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=52433
DOI: 10.5281/zenodo.14862705
title: Global Solar Tree Market 2025 To 2034

description: Solar Tree Market Size, Trends and Insights By Component (Battery, Solar PV Modules, Cables and Connectors, Others), By Connectivity (Off-Grid, On-Grid), By Application (Residential, Commercial and Industrial, Utilities), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Solar Tree  Market was valued at USD 250.2 Million in 2024 and is expected to reach USD 434.3 Million by 2033, at a CAGR of 5.7% during the forecast period 2024 – 2033.

A solar tree is a structure that incorporates solar panels arranged in a canopy-like resembling the branches of a tree. These solar panels typically harness sunlight to generate electricity, providing renewable energy for various applications such as lighting, charging stations, or powering small devices.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=52433
DOI: 10.34740/kaggle/dsv/10737683
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.28406423
title: profesionalimos medicos base de datos excel.xlsxProfesionalismo en medicos latinomaericanos

description: rofesionalismo en medicos latinoamericanos p
DOI: 10.6084/m9.figshare.28406423.v1
title: profesionalimos medicos base de datos excel.xlsxProfesionalismo en medicos latinomaericanos

description: rofesionalismo en medicos latinoamericanos
DOI: 10.6084/m9.figshare.28406423.v2
title: profesionalimos medicos base de datos excel.xlsxProfesionalismo en medicos latinomaericanos

description: rofesionalismo en medicos latinoamericanos p
DOI: 10.5281/zenodo.14862636
title: Portuguese Meals Dataset

description: Description:







The Portuguese Meals Dataset is a carefully curated collection of 6,771 images across 23 food categories, designed to assist machine learning systems in recognizing Portuguese meals and performing nutritional calculations. This dataset is particularly valuable for supporting dietary needs, such as guiding diabetic patients toward healthier food choices, while also enriching AI food recognition technologies.

 







Download Dataset

 









Dataset Structure

The dataset contains a mix of traditional Portuguese dishes and popular international food items. Dishes like Bacalhau à Brás, Cozido à Portuguesa, and Francesinha represent Portugal’s diverse culinary heritage, while international favorites such as pizza, hamburgers, and donuts offer a broader perspective.

Traditional Portuguese Dishes:



Aletria (Sweet Vermicelli Dessert)

Bacalhau à Brás (Salted Cod with Potatoes)

Caldo Verde (Portuguese Kale Soup)

Feijoada à Transmontana (Bean Stew)

Francesinha (Portuguese Sandwich)

Jardineira de Carne (Meat Stew)


International Dishes:



Pizza

Hamburger

Ice Cream

Hotdog

Waffles


Data Collection Sources

The images in this dataset were collected from a variety of sources:



Food-101 Dataset: Contributed categories like fries, chocolate cake, hotdogs, and ice cream.

Google Images: Used for capturing authentic images of traditional Portuguese meals.

Restaurant Apps: Apps such as Zomato, TripAdvisor, and The Fork helped enrich the dataset with images sourced from local restaurants, ensuring high quality and relevance.


Application

This dataset is primarily designed for AI and machine learning projects focused on food recognition, nutritional analysis, and health monitoring. It is particularly suited for applications that cater to individuals with specific dietary needs, such as diabetes management. Additionally, the dataset is an excellent resource for cultural studies or AI applications aiming to promote Portuguese gastronomy.

Enhancements and Future Prospects

Further enhancements to this dataset could include:



Adding nutritional data for each dish, allowing for a more comprehensive analysis.

Expanding the dataset to cover more local dishes from underrepresented regions in Portugal.

Incorporating real-time meal recognition technology through video data capture for more dynamic AI applications.


Conclusion

The Portuguese Meals Dataset is a versatile and culturally rich resource that bridges the gap between local cuisine and cutting-edge AI technology. By focusing on both traditional and popular dishes, it enables accurate and context-aware food recognition systems, aiding not only in healthcare but also in the promotion of Portuguese culinary heritage.

This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.14862635
title: Portuguese Meals Dataset

description: Description:







The Portuguese Meals Dataset is a carefully curated collection of 6,771 images across 23 food categories, designed to assist machine learning systems in recognizing Portuguese meals and performing nutritional calculations. This dataset is particularly valuable for supporting dietary needs, such as guiding diabetic patients toward healthier food choices, while also enriching AI food recognition technologies.

 







Download Dataset

 









Dataset Structure

The dataset contains a mix of traditional Portuguese dishes and popular international food items. Dishes like Bacalhau à Brás, Cozido à Portuguesa, and Francesinha represent Portugal’s diverse culinary heritage, while international favorites such as pizza, hamburgers, and donuts offer a broader perspective.

Traditional Portuguese Dishes:



Aletria (Sweet Vermicelli Dessert)

Bacalhau à Brás (Salted Cod with Potatoes)

Caldo Verde (Portuguese Kale Soup)

Feijoada à Transmontana (Bean Stew)

Francesinha (Portuguese Sandwich)

Jardineira de Carne (Meat Stew)


International Dishes:



Pizza

Hamburger

Ice Cream

Hotdog

Waffles


Data Collection Sources

The images in this dataset were collected from a variety of sources:



Food-101 Dataset: Contributed categories like fries, chocolate cake, hotdogs, and ice cream.

Google Images: Used for capturing authentic images of traditional Portuguese meals.

Restaurant Apps: Apps such as Zomato, TripAdvisor, and The Fork helped enrich the dataset with images sourced from local restaurants, ensuring high quality and relevance.


Application

This dataset is primarily designed for AI and machine learning projects focused on food recognition, nutritional analysis, and health monitoring. It is particularly suited for applications that cater to individuals with specific dietary needs, such as diabetes management. Additionally, the dataset is an excellent resource for cultural studies or AI applications aiming to promote Portuguese gastronomy.

Enhancements and Future Prospects

Further enhancements to this dataset could include:



Adding nutritional data for each dish, allowing for a more comprehensive analysis.

Expanding the dataset to cover more local dishes from underrepresented regions in Portugal.

Incorporating real-time meal recognition technology through video data capture for more dynamic AI applications.


Conclusion

The Portuguese Meals Dataset is a versatile and culturally rich resource that bridges the gap between local cuisine and cutting-edge AI technology. By focusing on both traditional and popular dishes, it enables accurate and context-aware food recognition systems, aiding not only in healthcare but also in the promotion of Portuguese culinary heritage.

This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.14862696
title: Additional data - Y665F variant of mouse STAT5b protects against acute kidney injury through transcriptomic shifts in renal gene expression

description: This dataset includes numerical data necessary to recreate graphs and original photographs not included in the manuscript.
DOI: 10.6084/m9.figshare.28107764.v2
title: Embedding context within text in urban research discourse: Steps and considerations for early-career researchers in writing literature reviews

description: This review article proposes a transformative approach for early-career researchers in urban studies to rethink the role of “context” in their literature reviews. Instead of simply summarizing existing research, it calls for a deeper investigation into the intricate relationship between context and text. Drawing on insights from a brainstorming session with 15 early-career researchers, bibliometric analysis, and directed content analysis of foundational social science works, the study highlights the hidden dynamics of this context-text interaction. It identifies four interconnected themes and four overarching contextual forces shaping this interplay, offering five key insights into the impact of context on textual analysis.Furthermore, the article presents a five-step methodological framework and practical guidelines designed to help researchers integrate context into their literature reviews, enhancing the analytical depth and significance of their work. By bridging broader academic discussions with applied fields such as architecture, urban planning, and urban design—fields that heavily rely on contextual analysis and socio-spatial theory—the study equips early-career researchers with the tools to use context as a methodological asset in academic writing. This approach encourages researchers to incorporate historical and contextual analysis effectively, enriching their work's depth and relevance. In doing so, it enhances their chances of publishing in leading peer-reviewed journals indexed in major academic databases, ultimately elevating the quality and scholarly impact of their research.
DOI: 10.25340/r4/kkyek1
title: Related Data for: How bodily engagement support design in groups: An exploratory study of hand gesture patterns in higher and lower-performing groups in design tasks

description: Collaborative learning plays an instrumental role in productive engineering design, during which students employ multiple communication channels simultaneously to co-construct and negotiate ideas. However, existing literature on the design process mostly focused on students’ verbal discussion, overlooking hand gestures during design discourses. This study aims to investigate hand gesture employment patterns during essential engineering design discourses as well as their differences in higher and lower-performing design groups. 15 dyads of fourth-year undergraduate students participated in this study, whose collaborative engineering design behaviors were video recorded. Quantitative ethnography methodology was adopted to identify hand gesture patterns in higher- and lower-performing groups in design tasks. This study found that higher-performing groups tended to apply depictive gestures, and echo gestures while lower-performing groups applied metaphorical gestures during discussion. Besides, lower-performing groups used gesture alternation to build upon others’ ideas while higher-performing groups employed gesture alternation to redirect and negotiate ideas. The empirical evidence expands the current understanding of hand gestures’ role in design thinking and collaborative learning. The findings provide a direct reference for embodied design and instructions for productive collaborative learning in authentic engineering classrooms.
DOI: 10.5281/zenodo.14862826
title: AMP test

description: This dataset includes aims trajectories and training data
DOI: 10.5281/zenodo.14862827
title: AMP test

description: This dataset includes aims trajectories and training data
DOI: 10.15128/r10p096697r
title: Investigation of the operating characteristics of a free-piston closed-cycle Joule engine generator with helium as working fluid [dataset]

description: As an emerging micro- or small-scale energy conversion technology, linear Joule engine generators (LJEGs) combine the advantages of external combustion engines and linear generators, feature the advantages of high thermal-to-electrical efficiency, multi-fuel potential, good operational flexibility, a simple and compact mechanical structure, and low frictional loss. Earlier research on LJEGs mainly focused on open-cycle systems, while closed-cycle LJEGs, which are the subject of this work, have some unique characteristics in comparison with open-cycle ones. Unfortunately, the operating features of closed-cycle LJEGs are still not well comprehended. To fill this gap, in this paper, the operating characteristics of a closed-cycle LJEG with helium as working fluid are investigated based on a validated numerical model. The dynamic characteristics and output performance of the system were investigated at different system pressures and compared with an open-cycle LJEG with air as working fluid. The outcomes reveal that the closed-cycle LJEG has a smaller piston stroke and higher output efficiency. Furthermore, the effect of key parameters such as valve timing, electrical resistance coefficient, and cylinder diameters on system performance is investigated. This study offers in-depth insights into the operation characteristics of the closed-cycle LJEG, which contributes to the design of similar systems.
DOI: 10.15128/r273666454s
title: Academic achievement of children with unilateral or mild bilateral hearing loss: A systematic review [dataset]

description: There has been significant research on the association between hearing loss and academic achievement. However, many studies do not disaggregate by degree of hearing loss. Therefore, the risks to school performance posed by unilateral and mild bilateral hearing loss are not well understood, despite prevalence studies suggesting that 2.4 to 23% of individuals may be affected. This study systematically reviewed the existing literature to understand whether an association exists between academic achievement and unilateral and mild bilateral hearing loss for children of primary school age. The study identified twelve reports covering nine studies that met the pre-specified inclusion criteria. Across all the studies, and for both unilateral and mild bilateral hearing loss, the majority of effect sizes were negative. This indicates that children with mild and unilateral hearing loss achieved lower mean scores in the assessments compared to their fully hearing peers for the majority of measures. Of the 57 effect sizes measured, 51 were negative, with similar ratios being observed for both unilateral and mild bilateral hearing loss measures. Of the 51 negative effect sizes, 27 were substantially important, defined as an effect size of at least 0.25. None of the positive effect sizes were substantially important. However, this analysis is based on a limited number of relatively small, heterogeneous studies. To fully understand the association between unilateral and mild bilateral hearing loss and academic achievement, more comprehensive studies that explore the association between school performance and these population groups would be a welcome addition to the current literature.
description: Systematic Review
DOI: 10.5281/zenodo.14854840
title: Dataset for DiffSMol: Generating 3D Small Binding Molecules Using Shape-Conditioned Diffusion Models with Guidance

description: This is the dataset repository of our paper: Generating 3D Small Binding Molecules Using Shape-Conditioned Di ffusion Models with Guidance.

This paper has been accepted by Nature Machine Intelligence.

All the results in our manuscript can be found in the paper_results.zip. For both SMG and PMG, we provided our generated molecules and their corresponding properties.

MOSES2_training_val_dataset.pkl is the processed training dataset in our model.

The arxiv preprint of our paper is available at https://arxiv.org/abs/2502.06027
DOI: 10.5281/zenodo.14854841
title: Dataset for DiffSMol: Generating 3D Small Binding Molecules Using Shape-Conditioned Diffusion Models with Guidance

description: This is the dataset repository of our paper: Generating 3D Small Binding Molecules Using Shape-Conditioned Di ffusion Models with Guidance.

This paper has been accepted by Nature Machine Intelligence.

All the results in our manuscript can be found in the paper_results.zip. For both SMG and PMG, we provided our generated molecules and their corresponding properties.

MOSES2_training_val_dataset.pkl is the processed training dataset in our model.

The arxiv preprint of our paper is available at https://arxiv.org/abs/2502.06027