cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21201764.v1
title: Safe zone

description: Pneumothorax is one of the most frequent complications of computed tomography (CT)-guided lung biopsies. We aim to identify the safe zone of the needle-pleura angle during a CT-guided lung biopsy. Fifty-two patients underwent CT-guided lung biopsies between January 2020 and September 2022 (27 males, 25 females, median age 70 years). Right and left needle angles were measured and correlated to the incidence of pneumothorax. The minimum delta (δmin) was calculated as the absolute value of the difference between a 90° angle and the right and left angles. T-test p-values for δmin were conducted. We recorded 29 patients with pneumothorax whether intraprocedural and transient, postprocedural with minimal symptoms, or postprocedural and requiring a chest tube insertion. 32 patients had a δmin ≥ 10°, while 20 had a δmin &lt; 10°. Of the patients with a δmin &lt; 10°, 30% experienced pneumothorax compared to 71.8% in patients with δmin ≥ 10° (p= 0.0023). The study results show that as the needle’s angle deviates from the perpendicular, with an absolute value of more than 10°, the likelihood of pneumothorax increases significantly. A needle–pleura angle between 80° and 100° gives the operator a safe zone to reduce the risk of pneumothorax.
DOI: 10.6084/m9.figshare.12012111.v1
title: An investigation of the Spatiotemporal Parameters of Gait and Margins of Stability throughout Adulthood - Dataset

description: This dataset is contains data on:<br>- Anthropometric measurements: age (years), body mass (kg); body height (cm), leg length (mm) and BMI. <br><br>- Gait parameters: walking speed (m/s), stride time (s), stride length (m), step time (s), cadence (steps/min), stance phase (%), double support phase (%), single support phase (%), step length (m) and step width (m).<br>- Margins of Stability: Anterior-posterior Margin of Stability (mm), medio-lateral Margin of Stability (mm).<br>Eligibility criteria for voluntary participants were adults between 20 and 89 years, categorized into seven decades. Participants were excluded if they had self-reported visual impairments, antalgic gait pattern, abnormal mobility in the lower limbs or any known neurological or orthopaedic disorder that could influence motor performance and balance. <br>An instrumented gait analysis was performed at a movement analysis laboratory equipped with a three-dimensional motion capture system with eight cameras (Vicon T10, 100 Hz., ©Vicon Motion Systems Ltd., Oxford, UK, 100 fps, resolution 1 Megapixel (1120×896), 3 AMTI type OR 6–7 force plates (1000 fps, 46×50×8 cm) and 1 AccuGait® (1000 fps) force plate. Reflective markers were placed on anatomical landmarks on the subject’s body corresponding to the full body Plug-In-Gait model (30). Subjects walked barefoot over a 12-meter-long walkway at a self-selected walking speed, with the middle 6 meters used for data collection. In total, a minimum of six valid walking trials (i.e. visibility of all markers, presence of clean left and right heel strikes) were recorded. The data collection took place between April 2015 and January 2016. <br>Marker trajectories were labelled using the Vicon Nexus 1.8.x software. Based on the force plate data and ankle marker trajectories, events of foot strike and foot off were determined. The gait cycle was calculated based on left and right heel marker trajectories. <br>The total body centre of mass was calculated using the standard Vicon clinical model (Plug-In-Gait application for Nexus software). The .c3d-files were then exported to Matlab (R2017a for Windows) and through a custom written script the MoS was calculated according to the formulas of the extrapolated centre of mass as described by Hof et al. (2005) - The condition for dynamic stability, J Biomech (https://doi.org/10.1016/j.jbiomech.2004.03.025). The Margin of Stability was defined as the minimum distance between the centre of pressure and the extrapolated centre of mass along the medio-lateral and anterior-posterior axis during the single support phases.<br>Spatiotemporal parameters were calculated from the left and right ankle marker trajectories through a custom written script in Matlab.
DOI: 10.17632/fc4kpmh7g6
title: Vocal Methods Curricular Requirements Raw Data

description: Objective: United States (US) music educator certification requirements vary by locality and institutional accreditation. Voice pedagogy training conferred through the vocal methods curricular requirement has not received significant assessment. This study assesses the content and requirements needed to fulfill the vocal methods curriculum in undergraduate music education degree programs.

Design: Published course catalogs provide a public contract and record of curriculum requirements and content for college programs. Catalogs from 627 institutions offering undergraduate music education programs were gathered from the College Music Society Directory of Music Faculties.

Methods: The course number, credit hours, description, and title for all Vocal Methods, Vocal Pedagogy, or equivalent classes were collected. Degree tracks (instrumental, vocal, general, etc.) requiring these courses were also noted. Data was compared with the broader credentialing requirements of accrediting bodies and state governments.

Results: Thirty-one states offered music educator certification for K–12 (or equivalent) music in 2024, while almost every institution separated majors into distinct course tracks based on instrument. Singing tracks are delineated as “choral” or “vocal.” The amount of vocal methods training in music education curricula is approximately one credit hour. Courses offered to instrumental music education majors typically blend class voice and personal vocal technique.

Conclusions: Vocal methods requirements tend to be fulfilled through class voice courses focused on performance development rather than teaching pedagogy. Advocacy for robust vocal pedagogy training in music education programs may be warranted given the culturally significant, identity-defining, and injurable, organic, nature of the human voice.
DOI: 10.17632/r7dh8zwwfr
title: A dataset of Rheumatoid Arthritis data from National Health and Nutrition Examination Survey (NHANES) participants.

description: # Dataset Description: Rheumatoid Arthritis and Body Roundness Index (BRI) from NHANES Participants

## 1. Introduction
This dataset is centered on the relationship between Rheumatoid Arthritis (RA) and the Body Roundness Index (BRI) using data from the NHANES. It aims to provide a basis for understanding the connection between body fat distribution and RA risk, potentially guiding preventive and treatment strategies.

## 2. Data Source
The data comes from the NHANES, a comprehensive CDC study on US health and nutrition. Collected between 2011 and 2020, it uses a complex sampling method for a representative sample.

## 3. Variables Included
### 3.1 Rheumatoid Arthritis (RA)
 - **Definition**: RA is a chronic autoimmune joint disease. Diagnosis in the dataset was determined by participants' responses to questions about doctor - diagnosed arthritis and its type. Self - reported RA had a high correlation with clinical assessment.
 - **Data Type**: Categorical (Yes/No)

### 3.2 Body Roundness Index (BRI)
 - **Definition**: BRI, calculated from height and waist circumference, reflects body fat distribution. It was divided into quartiles for analysis due to the lack of a standard reference range.
 - **Data Type**: Continuous

### 3.3 Covariates
 - **Demographic**: Gender and age.
 - **Socioeconomic**: Race/ethnicity, education level, marital status, and family income.
 - **Lifestyle**: Physical activity, smoking, and drinking status.
 - **Medical History**: Hypertension, diabetes, and hyperlipidemia.
 - **Dietary**: Calorie, nutrient, and caffeine intake.

## 4. Data Collection Methods
 - **Medical Exams**: Trained staff conducted physicals and RA - related tests.
 - **Anthropometric Measurements**: Precise height and waist circumference measurements.
 - **Questionnaires**: Covering various aspects of participants' lives.

## 5. Sample Size
From 45,462 initial participants, 13,273 aged 20+ were included after exclusions. This size is sufficient for analysis.

## 6. Data Quality
 - **Quality Assurance**: NHANES has strict quality control for accurate data.
 - **Data Cleaning**: Errors, outliers, and missing values were addressed.

## 7. Potential Applications
 - **Clinical Research**: Explore BRI's role in RA.
 - **Public Health**: Inform preventive strategies.

## 8. Ethical Considerations
 - **Informed Consent**: Participants consented.
 - **Data Protection**: Confidentiality and security measures are in place.

This dataset offers valuable insights into RA and body composition research.
DOI: 10.6084/m9.figshare.25572024.v1
title: <b>Leveraging GPT for Automated Radiology Reporting in Multimodal Medical Imaging</b>

description: Automated radiology reporting represents a pivotal advancement in medical imaging diagnos- tics, offering a solution to the time-consuming process of manual report generation. In this study, we propose an innovative methodology leveraging OpenAI’s Generative Pre-trained Transformer (GPT) models for the automated generation of descriptive radiology reports in multimodal medical imaging. Our approach integrates state-of-the-art natural language processing techniques with im- age processing methodologies to synthesize comprehensive reports from diverse image modalities, including computed tomography (CT) scans and ultrasounds. Through rigorous experimenta- tion on a curated dataset of radiology images, encompassing various pathological conditions and anatomical structures, we demonstrate the efficacy of our methodology in producing clinically relevant and coherent reports. Our findings underscore the potential of GPT-powered systems in augmenting radiologists’ workflows and improving diagnostic efficiency in medical imaging in- terpretation. Additionally, we emphasize that the dataset used in this research is obtained from Kaggle, a renowned platform for sharing and accessing diverse datasets, ensuring the accessibility and reproducibility of our experiments.
DOI: 10.17632/72jzs9266f
title: NMR Spectral Data for Structure Verification of Thiosemicarbazone Derivatives using Spinsolve 80 MHz Spectrometer

description: Preparedby Dr Bertram Manz

1 List of samples and goals of the measurements
2 Parameter of the equipment used for the measurements
3 Measured spectra
4 Helpful links

Lot Number
1. TSC_HBD_L1 = 2-[(2,4-dihydroxyphenyl)methylidene]hydrazine-1-carbothioamide
2. TSC_MBZ_L2 = 2-[(2-methoxyphenyl)methylidene]hydrazine-1-carbothioamide
3. TSC_HND_L3 = 2-[(2-hydroxynaphthalen-1-yl)methylidene]hydrazine-1-carbothioamide
4. TSC_PCB_L4 = 2-[(pyridin-2-yl)methylidene]hydrazine-1-carbothioamide
5. TSC_TCB_L5 = 2-[(thiophen-2-yl)methylidene]hydrazine-1-carbothioamide
DOI: 10.6084/m9.figshare.18991031.v1
title: Data from: Multi-objective optimization can balance trade-offs among boreal caribou, biodiversity, and climate change objectives when conservation hotspots do not overlap

description: See Martin et al. (2022, Scientific Reports 12: 11895, https://doi.org/10.1038/s41598-022-15274-8) for full details. <br> Abstract from associated paper: The biodiversity and climate change crises have led countries—including Canada—to commit to protect more land and inland waters and to stabilize greenhouse gas concentrations. Canada is also obligated to recover populations of at-risk species, including boreal caribou. Canada has the opportunity to expand its protected areas network to protect hotspots of high value for biodiversity and climate mitigation. However, co-occurrence of hotspots is rare. Here we ask: is it possible to expand the network to simultaneously protect areas important for boreal caribou, other species at risk, climate refugia, and carbon stores? We used linear programming to prioritize areas for protection based on these conservation objectives, and assessed how prioritization for multiple, competing objectives affected the outcome for each individual objective. Our multi-objective approach produced reasonably strong representation of value across objectives. Although trade-offs were required, the multi-objective outcome was almost always better than when we ignored one objective to maximize value for another, highlighting the risk of assuming that a plan based on one objective will also result in strong outcomes for others. Multi-objective optimization approaches could be used to plan for protected areas networks that address biodiversity and climate change objectives, even when hotspots do not co-occur.
DOI: 10.17632/2c3xf92pk4
title: Ultrasound of Dairy Cows' Udder (Mammary Gland) & Sonogram Echotexture Analysis

description: This public dataset contains: 

1. A folder with B-mode sonograms (3072 in total) of the bovine mammary gland. 
2. A .csv file with the daily milk yield on measurement days of the dairy cows participating in this study.
3. A .csv file with the feature set deriving from echotexture analysis of the B-mode sonograms.
4. A "Data_Interpretation" file, explaining how to interpret and use the data.
 
Research Hypothesis: 
Ultrasonography is being utilized in the examination of dairy animals’ mammary gland for more than three decades. Recently, echotexture analysis has been employed by some researchers to gain deeper information from mammary gland's sonograms and investigate pathological conditions. In our research article "A Deep Learning Algorithm Predicts Milk Yield and Production Stage of Dairy Cows utilizing Ultrasound Echotexture Analysis of the Mammary Gland" we hypothesized that a deep neural network could utilize features from echotexture analysis of mammary gland sonograms to obtain predictions about the cows’ daily milk yield and production stage. 

Notable Findings: 
A deep neural network can utilize features from mammary sonograms’ echotexture analysis to predict a cows’ daily milk yield and production stage. 
Our research findings are presented in detail in our research article "A Deep Learning Algorithm Predicts Milk Yield and Production Stage of Dairy Cows utilizing Ultrasound Echotexture Analysis of the Mammary Gland". 

Data Interpretation:
Text file “Data_Interpretation” includes the information needed to interpret and use the data. An extensive description about the data collection methodology is provided in our research article "A Deep Learning Algorithm Predicts Milk Yield and Production Stage of Dairy Cows utilizing Ultrasound Echotexture Analysis of the Mammary Gland".
DOI: 10.17632/fdbryfysm9
title: Data for: Towards Extractive Industries’ Sustainability Index for Africa: The Case of Corporate Social Responsibility (CSR) and local Sustainable Development by Kansanshi, Lumwana and Kalumbila Mines in North-Western Zambia

description: This research data pertains to in-depth analysis of extractives’ corporate social responsibility [CSR] in North-Western Zambia and its impact on local sustainable development. It relied on case study approach to understand processes and outcomes of CSR investments by sampled mines. The study relied on both primary, secondary, qualitative and quantitative sources of data to triangulate perspectives. The case study explored four dimensions of CSR: how decisions and prioritisation of CSR were made; level of stakeholders’ engagement and participation; appropriateness and viability of performance monitoring and accountability systems of sampled mines on CSR commitments; and outcomes [benefits and costs] to host communities from CSR; and factors underlying associated outcomes.
DOI: 10.6084/m9.figshare.23623578.v1
title: Untitled Item <strong>Eye safety practices and ocular episodes among dentists </strong>

description: The dental fraternity is highly risked among the health care workers towards eye injuries. Occupational eye injuries emerging due to mechanical, microbiological, and chemical insults results in dysfunctional ability to work with ease among the dental personnel. The major databases like PubMed, Scopus, Clinical Key, and EBSCO were accessed to search relevant articles using MeSH terms and Boolean operators. Articles published in the English language and full articles were included in the final analysis. Based on the overall search of the literature from various databases, it was concluded that eyewear protection among dental clinicians during treatment procedures is mandatory to reduce the incidence of eye infections in them.
DOI: 10.17632/stctg82wsf
title: Comparison of Machine Learning Attributes for Detecting Malicious Websites

description: Comparison of Machine Learning Attributes for Detecting Malicious Websites
DOI: 10.17632/jpp6vbn9zs
title: Handwritten Numeric Digits (HND)

description: Handwritten numeric digits extracted from public documents. There are 13896 images (28 x 28 pixels) of numeric digits (0-9) with a imbalanced distribution. This dataset was created to do proofs with classification models reuse.
DOI: 10.17632/my9ryw5xg9
title: Role of fdhD in the pathogenicity and its regulatory characteristics in avian pathogenic Escherichia coli

description: Avian Pathogenic Escherichia coli (APEC) produces major economic losses in the poultry industry and may endanger human health. The pathogenic mechanisms of APEC are still not fully understood. The fdhD gene in E. coli is essential for the function of formate dehydrogenases (FDHs), which are key enzymes in various biological processes in bacteria, but little is known about the fdhD in APEC pathogenicity. In this study, the LsrR quorum-sensing regulator expresses the gene fdhD and binds to the region between -96 to -66 of the fdhD promoter. The two motifs 6 bp and 9 bp of the fdhD promoter are crucial for the LsrR binding. The results showed that the inactivation of fdhD in APEC94 (a strain was isolated from diseased poultry) did not affect the growth and motility of APEC94 but led to decreased biofilm formation (P &lt; 0.01), and reduced serum resistance (P &lt; 0.05), alters antibiotic susceptibility. Similarly, the deletion of fdhD declined the adhesion (P &lt; 0.05) and invasion (P &lt; 0.01) of APEC94 towards host cells, reducing APEC94 colonization in blood, lungs, liver, spleen, and intestine (P &lt; 0.05) in mice, and the mortality rate of mutant APEC94∆fdhD and APEC94 was 12.5% and 87.5% in a mice infection model respectively. Furthermore, the fdhD positively affects the expression of fimbrial, flagellar, and virulence genes in APEC. Moreover, the transcription level of the inflammatory cytokines IL-2, IL-4, IL-6, IL-10, TNF-α, and INF-ƴ (P &lt; 0.05) was significantly decreased in mutant APEC94ΔfdhD compared with the wild-type strain. Thus, fdhD is a global regulator that activates the transcription of several genes. The present results suggest that fdhD plays an important role in pathogenicity, making it a good target for managing infection with APEC
DOI: 10.6084/m9.figshare.16556211.v1
title: Vegetation attributes drive taxonomic richness and functional composition of beetles and spiders in mountainous urban green spaces

description: This is a data on the activity density of beetles and spiders in a mountainous urban ecosystem of Ghana
DOI: 10.15468/dl.fth563
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Nassauvia darwinii (Hook. & Arn.) O.Hoffm. & Dusén ex Dusén",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012900-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tg7y9sskv5
title: Replication Data for: An Extension of the Theory of Planned Behaviour in Thailand cycling Tourism: The Mediating Role of Attractiveness of Sustainable Alternatives

description: This dataset includes replication data for the paper: "Sann, R., Jansom, S., & Muennaburan, T. (2023). An extension of the theory of planned behaviour in Thailand cycling tourism: the mediating role of attractiveness of sustainable alternatives. Leisure Studies, 1-15. https://doi.org/10.1080/02614367.2023.2182346".
DOI: 10.6084/m9.figshare.13246952.v1
title: NAS-Bench-301 Dataset v1.0

description: A dataset of architectures and their performance on CIFAR-10 used to create the surrogate benchmark described in "NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search".
DOI: 10.6084/m9.figshare.29084336.v2
title: Macroevolutionary Rates of Species Interactions: Approximate Bayesian Inference from Cophylogenies

description: Understanding the macroevolutionary dynamics of species interactions such as parasitisms, commensalisms, and mutualisms is an important goal in evolutionary ecology. To this end, statistical inference from extant cophylogenetic systems holds immense potential. However, such inference cannot yet handle the speciation-extinction dynamics that occur simultaneously in the host and symbiont clades on the same timescale. Here we present an Approximate Bayesian Computation (ABC) approach that, while taking into account host and symbiont extinction, infers rates of four types of speciation from a cophylogenetic system: (i) host speciation, (ii) symbiont speciation without host-switching, (iii) symbiont speciation with host-switching, and (iv) cospeciation. The new ABC approach relies on a novel design of summary statistics combining both size-based (i.e., tree sizes) and size-free summary statistics (i.e., the normalized distribution of Branch Length Differences - BLenD) of the cophylogeny. Convergence analyses show that the combined design of summary statistics outperforms size-based or size-free summary statistics alone – achieving satisfactory accuracy in detecting rate heterogeneity between the four types of speciation. Our ABC approach allows the user to infer the predominant mode of speciation within a given cophylogenetic system. The approach is demonstrated with an application to a cophylogenetic dataset of commensalism, in which beetles of one genus mimic those of another. In this system, we identify host speciation as the predominant process with the fastest rate (in events per unit time) among all four types of speciation (i.e., 4.3-5.1 times faster than the median among all four types of speciation). Understanding how and why different types of speciation may predominate in different cophylogenetic systems can have implications for various areas in ecology and evolution such as host conservatism, trait-driven diversification, pathogen spillover risk, and parasite extinction risk. This new approach highlights the need and potential for future efforts to compile time-calibrated cophylogenies.