cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31112761
title: Comparative in vivo assessment of hair-growth efficacy using nanostructured lipid carriers individually loaded with lavender oil or tea seed oil

description: Background This study aimed to formulate nanostructured lipid carriers loaded with tea seed or lavender oil to enhance hair regrowth via improved follicular penetration, as an alternative to conventional alopecia therapies. Methodology NLCs were prepared by ultrasonication of stearic acid: essential oil mixtures into an aqueous phase containing either Tween 80 or Pluronic F127 as surfactants. Particle size, polydispersity index, zeta potential and TEM were measured. In vivo efficacy was evaluated in female Wistar albino rats given selected once-daily topical NLCs for 30 days. Key results DLS analysis showed that formulations F2 and F5 had mean particle sizes of 165 ± 3 nm and 181 ± 6 nm, respectively, whereas the mixed-oil formulation F3 aggregated into large droplets. Zeta potentials of –65 ± 2 mV (F2) and –42 ± 3 mV (F5) confirmed excellent electrostatic stability. TEM images verified roughly spherical, core–shell nanoparticles. In the in vivo study, F2 and F5 treatments increased mean hair lengths by 120% and 132% versus placebo (p &lt; 0.001), respectively, compared to a 116% increase with the commercial product. NLCs significantly enhanced follicular density, with the lavender oil formulation showing superior hair shaft integrity. Conclusion These results demonstrate that Pluronic F127‐stabilized NLCs carrying natural oils possess optimal physicochemical properties and promote hair regrowth.
DOI: 10.6084/m9.figshare.31112761.v1
title: Comparative in vivo assessment of hair-growth efficacy using nanostructured lipid carriers individually loaded with lavender oil or tea seed oil

description: Background This study aimed to formulate nanostructured lipid carriers loaded with tea seed or lavender oil to enhance hair regrowth via improved follicular penetration, as an alternative to conventional alopecia therapies. Methodology NLCs were prepared by ultrasonication of stearic acid: essential oil mixtures into an aqueous phase containing either Tween 80 or Pluronic F127 as surfactants. Particle size, polydispersity index, zeta potential and TEM were measured. In vivo efficacy was evaluated in female Wistar albino rats given selected once-daily topical NLCs for 30 days. Key results DLS analysis showed that formulations F2 and F5 had mean particle sizes of 165 ± 3 nm and 181 ± 6 nm, respectively, whereas the mixed-oil formulation F3 aggregated into large droplets. Zeta potentials of –65 ± 2 mV (F2) and –42 ± 3 mV (F5) confirmed excellent electrostatic stability. TEM images verified roughly spherical, core–shell nanoparticles. In the in vivo study, F2 and F5 treatments increased mean hair lengths by 120% and 132% versus placebo (p &lt; 0.001), respectively, compared to a 116% increase with the commercial product. NLCs significantly enhanced follicular density, with the lavender oil formulation showing superior hair shaft integrity. Conclusion These results demonstrate that Pluronic F127‐stabilized NLCs carrying natural oils possess optimal physicochemical properties and promote hair regrowth.
DOI: 10.6084/m9.figshare.31112764
title: Cross-realm biodiversity profile of the South African coastal zone

description: South Africa’s coast is 3 113 km long and includes microtidal shores that experience semi-diurnal tides and mostly high wave energy. From west to east, the cool Benguela Current and the warm Agulhas Current drive steep gradients in climate and environmental conditions, resulting in diverse coastal ecosystem types. Here, we review the biodiversity of South Africa’s coastal zone, focusing on the constituent ecosystem types from the terrestrial, freshwater, estuarine and marine realms, and provide a brief overview of cross-realm biodiversity patterns. We also give guidance on coastal boundaries to improve standardisation in this complex area to support assessment, planning and management. The ecologically determined coastal zone currently comprises 193 ecosystem types: 83 vegetation types (e.g. seashore vegetation, strandveld, duneveld, coastal forest); 22 estuary and 3 micro-estuary ecosystem types; and 85 marine ecosystem types (e.g. shores, islands, reefs, kelp forests, bays), with planned inclusion of freshwater types (e.g. coastal lakes, forested wetlands, dune slacks) in the future. Species richness is generally highest along the south and east coasts, with the highest levels of endemism mostly reported for the south coast. The South African coast is a national asset that warrants careful management for long-term sustainability to safeguard its unique biodiversity and many associated benefits for current and future generations.
DOI: 10.6084/m9.figshare.31112764.v1
title: Cross-realm biodiversity profile of the South African coastal zone

description: South Africa’s coast is 3 113 km long and includes microtidal shores that experience semi-diurnal tides and mostly high wave energy. From west to east, the cool Benguela Current and the warm Agulhas Current drive steep gradients in climate and environmental conditions, resulting in diverse coastal ecosystem types. Here, we review the biodiversity of South Africa’s coastal zone, focusing on the constituent ecosystem types from the terrestrial, freshwater, estuarine and marine realms, and provide a brief overview of cross-realm biodiversity patterns. We also give guidance on coastal boundaries to improve standardisation in this complex area to support assessment, planning and management. The ecologically determined coastal zone currently comprises 193 ecosystem types: 83 vegetation types (e.g. seashore vegetation, strandveld, duneveld, coastal forest); 22 estuary and 3 micro-estuary ecosystem types; and 85 marine ecosystem types (e.g. shores, islands, reefs, kelp forests, bays), with planned inclusion of freshwater types (e.g. coastal lakes, forested wetlands, dune slacks) in the future. Species richness is generally highest along the south and east coasts, with the highest levels of endemism mostly reported for the south coast. The South African coast is a national asset that warrants careful management for long-term sustainability to safeguard its unique biodiversity and many associated benefits for current and future generations.
DOI: 10.3886/e244524v1
title: College of Nursing Sciences, MAUTH, Yola, Adamawa State, 2026/2027 ADMISSION FORM is out call 09031383306 DR MR JAMES (+249031383306) for TRANSCRIPT Collection School Admin Line 09031383306 To apply Also 2026/2027 Nursing form

description: College of Nursing Sciences, MAUTH, Yola, Adamawa State, 2026/2027 ADMISSION FORM is out call 09031383306 DR MR JAMES (+249031383306) for TRANSCRIPT Collection School Admin Line 09031383306 To apply Also 2026/2027 Nursing form
DOI: 10.6084/m9.figshare.28652421.v1
title: Value-chain analysis of Kenya’s artisanal tuna fishery focusing on skipjack tuna <i>Katsuwonus pelamis</i> and kawakawa <i>Euthynnus affinis</i>

description: This study investigates the value chain of Kenya’s artisanal tuna fishery targeting skipjack tuna <i>Katsuwonus pelamis</i> and kawakawa <i>Euthynnus affinis</i>. The study used an integrated approach combining a questionnaire survey and catch assessment data at four landing sites along the coast of Kenya to examine the socio-demographic profiles of key actors (i.e. fishers, traders, processors, and agents/investors), the structure and function of the value-chain nodes, and the associated economic benefits. The findings reveal that fishers, the primary actors, sell most of their catch (53%) to agents, with the remainder distributed to traders (20%) and processors (18%). Processors, predominantly women, play a key role in the value chain and had the highest net profit margin (49.5%). Limited post-harvest infrastructure, inadequate transportation and poor marketing conditions were identified as key challenges that impact the quality of the fish sold, and hence the income generated. These challenges disproportionately affect fishers who have limited access to market information and financial resources. The findings demonstrate the need for multi-level interventions to optimise benefits from the artisanal tuna fishery along the entire value chain, taking into consideration the economic, environmental and social dimensions.
DOI: 10.15468/dl.ahaxyy
title: Occurrence Download

description: A dataset containing 60788011 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate reprojection suspicious, Coordinate precision/uncertainty mismatch, Footprint WKT mismatch, Country derived from coordinates, Continent derived from country, Continent derived from coordinates, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, Depth not metric, Depth unlikely, Depth min max swapped, Depth non numeric, Elevation min max swapped, Elevation not metric, Elevation non numeric, Multimedia date invalid, Individual count conflicts with occurrence status, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aegithalos caudatus, Agelaius phoeniceus, Agropsar sturninus, Anthus trivialis, Aphelocoma californica, Parus bicolor bicolor, Bombycilla cedrorum, Bombycilla garrulus, Calliope calliope, Cardinalis cardinalis)",
 "Year 2000-2025"
 ]
}

 The dataset includes 60788011 records from 4861 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002391-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79v46u
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)"
 ]
}

 The dataset includes 424 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007076-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-0yb0-rw92
title: JSE_S22_Data
title: in Assessment of Tornado Loading on Low-Rise Buildings Using Computational Modeling and Tornado Simulator Testing

description: This is the data for swirl ratio 0.22. At this swirl ration touch down happens as reported in the paper
description: Tornadoes are a type of severe windstorm that repeatedly have caused devastating damage to the built environment in the United States. Low-rise buildings, in particular, historically have been among the structures that are the most vulnerable to tornado damage. Failures of this type of structure are often responsible for the social and economic losses caused by tornadoes, including the loss of life and property, as well as the interruptions to many critical societal functions. The goal of this collaborative research at the University of Arkansas (UARK) and Texas Tech University (TTU) is to further advance the fundamental understanding of tornadic loading on low-rise buildings. The outcomes of this research can be used for the assessment of building performance in tornadoes, the design of new tornado-resistant buildings, and the development of retrofitting strategies to improve the performance of existing buildings in tornadoes. The research project will be integrated with educational and outreach activities at both UARK and TTU to raise public awareness of the impact of natural hazards, including tornadoes, on the built environment and society in general. In this project experimentally measured vortex flow data and measured pressure data from TTU tornado simulator are used to validate the CFD model developed from UARK. Researchers can use the method developed to validate their model as well as to apply to other wind related problems. In addition those who wants to learn to use open source software openFoam, learning materials are developed and published in the educational meeting. The case files are available in the github web page for any  one to learn & run: https://github.com/rpsuark . The vortex chamber case file is available at: https://github.com/timusv5977
DOI: 10.17603/ds2-74fn-yw41
title: Research Experiences for Undergraduates (REU), NHERI 2022: Construction of NHERI TallWood Test Structure: From Tree to Tower

description: This research is a detailed summary of the relationship between NHERI TallWood and the mass timber industry. The NHERI TallWood is unique as it is a 10-story mass timber structure that will be tested for seismic resilience of high-rise timber structures. The qualitative data from this study provides an outline of the construction process of this test structure as well as future research to be conducted. This paper is intended primarily for researchers in the mass timber field, specifically those who work with seismic hazards and will be using the data from this project as a literature summary to help conduct their own analyses.
DOI: 10.17603/ds2-hn74-bt67
title: Natural Hazards Research Summit 2024: Equivalent Risk Approach to Developing Ecologically Enhanced Beach-Dune Design Templates

description: This research aims to serve as a basis for conceptual design of beach fill projects with sand dunes which are modified from traditional design templates to address ecological needs. The data in this project can be reused to inform future efforts in this space. This project is unique because it uses recently a recently developed metric of dune vulnerability to address a research need regarding changes in practice to artificial, engineered dune construction. The audience is coastal engineers and managers involved in beach nourishment projects as well as coastal ecologists who can benefit from understanding the role engineering can play in coastal habitat improvement.
DOI: 10.17603/ds2-j4q8-y692
title: Natural Hazards Research Summit 2024: Accelerating the integration of high-fidelity methods for hurricane risk assessment with a unifying damage and loss simulation framework

description: High-fidelity damage and loss simulations can help identify vulnerabilities in communities with increasing hurricane risk due to urbanization and intensifying storms. Traditional methods for regional-scale analyses use low-resolution models, lacking some details necessary for effective interventions. Several research groups have independently pursued development of more advanced, but disconnected models. We introduce a unifying framework that integrates both conventional models and recent advancements into a cohesive schema. The schema and models are now included in SimCenter’s Pelicun damage and loss simulation engine. By combining these models and ensuring public availability, our framework can help accelerate future research, making regional-scale high-fidelity simulations accessible for all.
DOI: 10.17603/ds2-phmf-x058
title: Natural Hazards Research Summit 2024: Serious Gaming for Teaching Complex Human-Technical Systems Experiencing Shocks: An Application to Interdependent Infrastructure Recovery

description: What is this project about?

This project involves developing "Breakdown," a serious game designed to teach graduate engineering students about the restoration of interdependent infrastructure systems (electric power, water, and IT). The game provides hands-on experience, helping students apply theoretical knowledge to practical scenarios.

How can data in this project be reused?

The data from this project, including survey responses, can be reused for:
1. Educational Research: To study the impact of serious games on learning.
2. Game Development: To create similar educational tools.
3. Curriculum Design: To integrate serious games into engineering education.
4. Policy Making: To advocate for innovative teaching methods.

How is this project unique?

This project is unique because it:
1. Integrates Multiple Domains: Covers interconnected infrastructure systems.
2. Focuses on Human Factors: Highlights operators' decision-making processes.
3. Promotes Collaboration: Emphasizes teamwork in problem-solving.
4. Uses Active Learning: Engages students in an interactive environment.

Who is the audience?

The primary audience includes:
1. Graduate Engineering Students: Who gain practical insights.
2. University Professors: Who can use the game in their teaching.
3. Educational Researchers: Studying the efficacy of serious games.
4. Policy Makers: Interested in innovative educational strategies.

Why does it matter?

"Breakdown" addresses the gap between theoretical knowledge and practical application in engineering education. By focusing on the role of infrastructure operators and promoting collaborative learning, it prepares students to handle real-world challenges effectively. This innovative teaching method has the potential to enhance engineering education nationwide.
DOI: 10.17603/ds2-x5fs-hc27
title: Post-Pandemic Municipal Solid Waste Management System Database

description: The coronavirus (COVID-19) pandemic has introduced unprecedented challenges for municipal solid waste management systems (MSWMSs). Despite the precautionary efforts made by MSWMS entities, their responses have largely been reactive and ad hoc to keep up with the increased waste demand caused by the pandemic. As a result, they have been struggling with optimizing their responses and minimizing the environmental impact of waste through more sustainable options such as recycling. In this RAPID project, ephemeral data was collected over a period of 12 months, beginning in March 2020 and ending in February 2021, on the longitudinal impact of the COVID-19 pandemic on nine MSWMSs. The investigated systems have diverse levels of urbanization and are located across three of the U.S. states most impacted by the pandemic, namely Florida, New York, and California. A user-friendly informational database is presented in this project capturing details about MSWMSs entities, waste collection processes, challenges faced during the COVID-19 pandemic, and adaptive measures implemented to mitigate the identified challenges.
DOI: 10.17603/ds2-xw8e-rj36
title: Research Experiences for Undergraduates (REU), NSF NHERI 2024: Contributions to the Development of a Framework for Predicting Weldment Fracture

description: This project concerns the early program of investigation of weld-borne microstructures for structural steel, detailing the methodology used to facilitate investigation for replication. The overall study will establish novel fracture criteria and tools and models for prediction of weldment fracture. The intended audience concerns design professionals and researchers in the fields of engineering and civil material fracture mechanics.
DOI: 10.5281/zenodo.15577623
title: Electrochemical Synthesis of High Entropy Nanoparticles and the Exploration of the Pd-Ag-Au composition space for the oxygen reduction reaction - Dataset
DOI: 10.5281/zenodo.15577624
title: Electrochemical Synthesis of High Entropy Nanoparticles and the Exploration of the Pd-Ag-Au composition space for the oxygen reduction reaction - Dataset
DOI: 10.17603/ds2-84bn-5d45
title: Zalachoris and Rathje GMM for Earthquakes in Texas, Oklahoma, and Kansas

description: This jupyter notebook script implements the ground motion model (GMMs) developed in Zalachoris and Rathje (2019). The ZR19 model is tuned to the characteristics of the observed, and potentially induced seismicity in Texas, Oklahoma, and Kansas. The GMM is developed using the referenced empirical approach with the Hassani and Atkinson (2015) Central and Eastern North America model as the reference GMM and is applicable for Mw = 3.0 to 5.8, and hypocentral distances less than 500 km.
DOI: 10.17603/ds2-9frs-j444
title: Natural Hazards Research Summit 2024: Estimating Near Surface Wind Characteristics from Wind-borne Debris Flight Media

description: Non-synoptic wind events, including thunderstorms, downbursts, and tornadoes, account for most weather-related fatalities in the United States and cost billions of dollars in property damage each year. Despite advancements in incorporating non-synoptic winds into wind design codes and standards, there remains a significant gap in understanding the near-surface wind characteristics of these events. However, with the advent of smartphones, video monitoring systems, and remote sensing technologies, a wealth of media now exists that capture the real-time dynamics of non-synoptic storms, including the motion of wind-borne debris, which could be a useful source of data. This study aims to establish a framework to infer near-surface wind characteristics from debris speed and other debris attributes in debris flight videos and other media. The proposed framework involves three key steps: (1) accurate extraction of debris trajectories from videos in 2D or 3D space as a function of time using computer vision techniques, (2) estimation of debris attributes relevant to debris-flight motion (e.g., mass, area, aerodynamic coefficients) from the video, and (3) application of equations of motion to (1) and (2) to infer background wind flow characteristics. This study focuses on applying the framework to unstructured debris-flight media (publicly shared videos) and structured debris flight media from controlled experiment at the NHERI Wall of Wind shared-use facility at Florida International University. Overall, this study shows the possibility to enhance our understanding of near-surface wind and debris characteristics using wind-borne debris trajectories extracted from debris flight media.
DOI: 10.17603/ds2-x62y-ab45
title: Nonductile RC moment frame, nonlinear dynamic analysis, and fragility generation.
title: in A Method for Automated Development of Model and Fragility Inventories of Nonductile Reinforced Concrete Buildings

description: The project focuses on seismic risk assessment of nonductile reinforced concrete moment-resisting frames, which are collapse prone. The proposed approach offers some automation without significant loss of accuracy in predicting collapse and other damage states. As such, it can help risk and loss assessment at regional scales, enabling property owners, engineers, and government officials to quickly develop building models and analyze their responses under scenario-based or historical events.
DOI: 10.5066/p9he4u9n
title: U-Pb Ages, Hafnium Isotope Ratios, and Trace Element Concentrations by Laser-Ablation Split Stream (LASS) Analysis of Igneous Zircons from the Western Alaska Range

description: This dataset contains U-Pb isotopic data and ages, Hf isotope data, and trace element concentrations of zircon from igneous rocks collected from the western Alaska Range of south-central Alaska. The sample suite was collected as part of geological mapping and supporting geochemical and geochronological analysis conducted from 2011 to 2013. We also analyzed portions of remainders of previously collected igneous bedrock samples from the USGS archive, allowing expansion of the dataset to include igneous bodies that were not sampled during 2011–2013 field work or were outside the area of focused project field work. Zircon was obtained from these igneous rocks to determine the crystallization age for the bedrock samples. The data tables accompanying this data release report the isotopic composition of uranium (U) and thorium (Th) measured in each grain, ratios of three isotopes of lead (208Pb, 207Pb, and 206Pb), two isotopes of uranium (235U and 238U), one isotope of thorium (232Th), and the age of each grain, plus trace element abundances from the same ablated aliquot, including P, V, Sr, high field strength elements (HFSE), and rare earth elements (REE). Reported Hf (and Lu) isotope data includes 176Hf/177Hf, 176Lu/177Hf, and 178Hf/177Hf ratios, calculated epsilon Hf values, and age-corrected isotope ratios and epsilon values.