cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28189130.v1
title: <b>Mineral-bound lipids formation in soils and sediments: the importance of microbial pathways</b>

description: Mineral protection is the most important mechanism for the long-term preservation of soil organic matter (SOM). However, the proportions of mineral-bound organic compounds that have different structures and biological sources in soils remain unclear, impeding a deeper understanding of the mechanisms underlying OM-mineral interactions. Structurally diverse lipids such as fatty acids, tetraethers, and fatty alcohols are very slowly decomposable biomarkers reflecting plant and microbial origin and therefore, are good indicators of the formation mechanisms of organo-mineral associations. Here we used offline pyrolysis to quantify the mineral-bound lipids in soils with increasing water content as well as aquatic sediments. The proportions of mineral-bound microbial lipids were higher than the plant-derived lipids, while the proportions of bound microbial lipids with diverse structures were at a comparable level, indicating that the importance of OM biological source may exceed the chemical structure in the formation of organo-mineral association. In addition, the proportion of bound microbial lipids was higher under drier conditions, whereas the proportion of bound plant-derived lipids was not affected by the water content. This contrast lies in the distinct formation pathways of mineral-bound microbial and plant lipids. Microbes tend to adhere to the mineral surfaces under drier conditions, accelerating the formation of organo-mineral associations, while plant organic matter is adsorbed on the mineral surfaces after initial decomposition. This deciphered a new aspect of microbial contribution to the stability of SOM. Consequently, microbial physiology, particularly hydrotaxis, should be regarded as another biogeochemical agent of SOM stabilization.
DOI: 10.6084/m9.figshare.7017254.v5
title: Machine Learning Materials Datasets

description: Three datasets are intended to be used for exploring machine learning applications in materials science. They are formatted in simple form and in particular for easy input into the MAterials Simulation Toolkit - Machine Learning (MAST-ML) package (see https://github.com/uw-cmg/MAST-ML).<br><br>Each dataset is a materials property of interest and associated descriptors. For detailed information, please see the attached REAME text file.<br><br>The first dataset for dilute solute diffusion can be used to predict an effective diffusion barrier for a solute element moving through another host element. The dataset has been calculated with DFT methods.<br>The second dataset for perovskite stability gives energies of compostions of potential perovskite materials relative to the convex hull calculated with DFT. The perovskite dataset also includes columns with information about the A site, B site, and X site in the perovskite structure in order to perform more advanced grouping of the data.<br>The third dataset is a metallic glasses dataset which has values of reduced glass transition temperature (Trg) for a variety of metallic alloys. An additional column is included for majority element for each alloy, which can be an interesting property to group on during tests.
DOI: 10.17632/cwxdmk8zhz
title: Freshness Classification of Raddish Dataset

description: This dataset has raddish images taken at 3 different times of day of five samples of raddish. This was done for total of 24 days and a total of 360 images were gathered. The texture, shape and colour was also measured and given a rating out of 10. This all were done and documented in an excel file (included).
DOI: 10.17632/5dzw6r2dwx
title: Data for: Cyclostratigraphy and Astronomical Tuning of the Middle Eocene Terrestrial Successions in the Bohai Bay Basin, Eastern China

description: magnetic susceptibility and paleomagnetic data
DOI: 10.17632/m3sy3dh3gj
title: Evaluation of the suturing technique and its relationship with suture iatrogenesis and the level of theoretical-practical knowledge in surgical procedures performed by dental students

description: The aim of this study, carried out at the Dr René Puig Bentz Dental Clinic of the Universidad Nacional Pedro Henríquez Ureña, was to evaluate the relationship between the suturing technique used, the incidence of suture iatrogenesis and the level of theoretical and practical knowledge of surgical procedures among dental students. A total of 278 surgical procedures performed by students at different clinical levels were analysed.
The results showed that the most commonly used suturing technique was the simple suture (89.93%). Regarding sutural iatrogenies, the most common errors were tissue tearing, compression ischemia and perforation of anatomical structures. In terms of theoretical knowledge, most students presented a level classified as "fair" or "poor", suggesting deficiencies in their theoretical and practical training.
Although no statistically significant correlation was found between the level of theoretical knowledge and the incidence of errors, the results suggest that knowledge and motor skills are crucial factors in the prevention of iatrogenic errors. The prevalence of errors such as tissue tears and perforations may be related to a lack of practical experience and the need for more intensive supervision in suturing.
This study highlights the importance of improving the theoretical and practical training of students and the need to reinforce suturing techniques in dental education programs. It also highlights the importance of adequate clinical supervision in reducing surgical errors. The data suggests that although theoretical knowledge is essential, skill in technique and supervision are equally important in minimizing postoperative complications in patients.
DOI: 10.17632/zvztww3bhr
title: High-Resolution Litchi Fruit Image Dataset for Maturity Detection

description: 1) The demand for high-quality, fresh fruits is universal. In today’s health-conscious society, people are increasingly selective about their food choices, believing that consuming spoiled fruits can negatively impact their health. As a result, the fruit market often suffers, leading to significant economic losses. A major contributor to fruit spoilage in Bangladesh is the manual method used to assess fruit maturity. If fruits aren’t harvested at the right time, they can deteriorate quickly. Therefore, accurately distinguishing between ripe and unripe fruits is crucial for determining the optimal harvest period. Litchi, a highly nutritious fruit and a key crop in Bangladesh, faces substantial daily financial losses due to spoilage. This highlights the urgent need for an automated system to categorize litchi fruits as mature, and immature which would be invaluable to farmers, vendors, and the fruit processing industry.
(2) In the modern era, computer vision techniques have shown great potential in handling tasks like classification and detection.
(3) To support the development of computer vision-based algorithms, we introduce a comprehensive dataset for litchi fruit that includes Maturity Detection datasets. The Maturity Detection Dataset classifies fruits as either immature or mature, This classifications were made in consultation with an agricultural expert from a specialized institute.
(4) The dataset includes 3,400 images of mature, immature litchi fruits collected from demonstration areas across three locations in Bangladesh. Additionally, 20,000 augmented images were generated using flipping, width, height shifting, brightening, rotation, shearing, and zooming to expand the dataset.
DOI: 10.60893/figshare.pte.26090683.v1
title: STL Files for Solar Telescope for Students

description: Files in STL format for 3D-printing the student solar telescope.
DOI: 10.17632/b7kgwyy3b9
title: Quantification and simulation of thermal decomposition reactions of Li-ion battery materials by simultaneous thermal analysis coupled with gas analysis

description: The two files contain the heat release and peak parameters for anode (Graphite) and cathode (NMC11).
DOI: 10.17632/x63j6trjyf
title: Patient Decision Aid for the Treatment of Lentigo Maligna

description: The Decision Aid for Lentigo Maligna was developed by members of the American Society for Dermatologic Surgery with iterative feedback from patients. It contains evidence-based information regarding LM and various treatment modalities, including surgery, imiquimod 5%, radiation, as well as active surveillance. Treatment-specific information includes treatment efficacy, advantages and adverse effects, expected follow up, and estimated associated costs. The “things I might consider in my decision” section of the decision aid contains questions regarding lifestyle, comorbidities, social factors, and disease-related concerns.
DOI: 10.17632/bnfsvw49bs
title: Web-Based Music Performance Assessment Application (WBMPAA)

description: Web-Based Music Performance Assessment Application (WBMPAA)
DOI: 10.17632/cfbw78wptj
title: Data for: Intensive and Extensive Margins of Capital and Labor

description: Japandata.csv file is raw data which contains several model variables: GDP (y), gross investment rate (ik), stock prices (s), corporate income tax rate (tau), gross hiring rate (hn), capital utilization rate (uk), and working hours (un). Japandata.m file transforms them by taking natural logarithm and detrending them using a one-sided HP filter. Since we use the Matlab program, one_sided_hp_filter.m developed by Alexander Meyer-Gohde, you must download this before running the program. The outcome is stored in Japandata.mat file. Baseline and Appendix mod files reproduce the results in the article. You must install Dynare (https://www.dynare.org/) for your PC before conducting these programs. Our results in the article are obtained by Dynare version 4.5.6.
DOI: 10.17632/jtrgpctjb5
title: On the Role of the Matrix in the Strength of Carbon Fiber-Reinforced Ceramics

description: Finite Element Program for Fracture Mechanics of Ceramic Matrix Composites

This static dataset contains the Julia source code for a Finite Element program designed to analyze the fracture mechanics of ceramic matrix composites.

The code produced the results discussed in the paper: 
"On the role of the matrix in the strength of carbon fiber-reinforced ceramics"

If you use or find these codes useful, please cite this dataset and the paper as:

@article{VIGLIOTTI2024105227,
 title = {On the role of the matrix in the strength of carbon fiber-reinforced ceramics},
 journal = {Mechanics of Materials},
 pages = {105227},
 year = {2024},
 issn = {0167-6636},
 doi = {https://doi.org/10.1016/j.mechmat.2024.105227},
 url = {https://www.sciencedirect.com/science/article/pii/S0167663624003193},
 author = {Andrea Vigliotti and Ferdinando Auricchio and Damiano Pasini},
 keywords = {Ceramics, Composites, Multiscale mechanics, Fracture, Phase field},
}

 Description of Files

- fe_tools.jl 
 Includes the module for handling the phase field model.
 
- helper_funcs.jl
 Contains helper functions for solving the Finite Element (FE) problem.
 
- solver.jl 
 Contains the main solver.
 
- mesh_files
 Directory containing the meshes of the models.
 
- AD4SM
 Directory containing the package for handling automatic differentiation and element generation. 
 To add this package via Julia's package manager, run: 
 ```
 ]add AD4SM
 ``` 
 or 
 ```
 ]add https://github.com/avigliotti/AD4SM.jl
 ```
 
- qs_cm_hex1x1x1nL20_r500L1100lc0125lcf0500AT1nhl0500*.jl 
 Sample scripts to launch simulations for specified boundary conditions and models.

---

Solver Expectations

1. Mesh Directory:
 The solver expects to find the mesh files in the directory named `mesh_files`. This can be changed by passing the relevant parameter to the solver.
 
2. Output Directories:
 - JLD2 Files: The solver writes output files in JLD2 format to the `jld2_files` directory. 
 - Paraview Files: The solver writes Paraview-compatible files to the `vtk_files` directory. 
 
 If these directories are not present, they will be created automatically. Ensure the program has write privileges to these directories.

---

Julia Installation

Julia can be downloaded and installed from the [official website](https://julialang.org/downloads/).

---

These source code can also be found at https://github.com/avigliotti/CMC_fracture
DOI: 10.17632/wf7s8xy7wb
title: PoW Crypto Hashrates

description: This dataset provides total rent hashrates, network hashrates, prices, and calculated rewards for more than 55 PoW cryptos spanning more than 15 PoW algorithms.
DOI: 10.6084/m9.figshare.13139684.v1
title: BSR_bsds500 data set

description: BSDS500 image edgeobject edgeAI<br>
DOI: 10.17632/gjgx56cr9y
title: β-synuclein blocks α-synuclein condensate fusion to disrupt the maturation of phase separation

description: The abnormal accumulation of α-synuclein (α-Syn) is a key feature of Parkinson’s disease (PD) and other synucleinopathies. α-Syn undergoes liquid-liquid phase separation (LLPS) to accelerate the amyloid aggregation. β-synuclein (β-Syn) colocalizes with α-Syn and affects its aggregation. It remains poorly understood how the LLPS of α-Syn is regulated by β-Syn. Here, we find that β-Syn co-condenses with α-Syn, negatively regulating the LLPS of α-Syn. The mobility of α-Syn is reduced in α-Syn/β-Syn coacervates, diminishing the condensate fusion. β-Syn blocks the condensate growth and maturation of α-Syn phase separation but can not reverse the condensation pathway. We show that Dementia with Lewy bodies (DLB)-associated β-Syn mutations impair β-Syn’s inhibitory role on α-Syn condensate fusion. β-Syn but not its disease-associated mutants can ameliorate α-Syn-caused dopaminergic neuron degeneration in Caenorhabditis elegans. These findings provide insights into the neuroprotection of β-Syn and the targeting of α-Syn phase separation in disease treatment.
DOI: 10.17632/tjbtbg8zbj
title: A Study of Cultural Bias in Translation of News Reports from Arabic into English

description: The problem that faces translators when they translate Arabic cultural texts into English involves, cultural,
religious, and political ideologies. These obstacles are hard to overcome due to political issues relate to the
translators’ governments or other hostile countries.
Finding a solution to cultural bias in translation of reporting news between the target language audience and the
source language audience is challenging. This difficulty stems from cultural differences and political matters that
generate ongoing hostility between conflicting parties, such as Russia and Ukraine, Palestine and Israel. Thus, the
research problem lies in finding fair solutions to cultural bias in the translation of news reports from Arabic to
English.
This research aims to reveal the cultural bias in the reporting news translation process, identifying its various types
while also limiting the reasons and impact of bias in translation. Additionally, it seeks to uncover the immoral
methods employed in biased journalistic translation and propose strategies for minimizing its influence.
The model adopted in this study, Venuti (1995), functions as a translation model. A number of (4) Diverse samples
are taken from different Arab news agencies and translated by three various translators from different news
agencies. Bias is discovered through analyzing four procedures: addition, modulation, transposition, and equivalent.
The result of this study shows that the translators face political, cultural, religious, and social problems in rendering
Arabic journalistic texts into English, and it also reveals that cultural bias is the highest degree than all.
DOI: 10.6084/m9.figshare.14423630.v1
title: ARIS dataset: Three fish species

description: Imaging Sonar data collected using ARIS Explorer 1800 sonar using 1.8 MHz frequency. The sonar data were collected in an experimental pond (width: 6.5 m, length: 46 m, depth: 0.8 m). The velocity regime of the experimental pond was slow and relatively constant (0.08 – 0.14 m/s: measured using a SonTek FlowTracker). An imaging sonar (ARIS Explorer 1800, Sound Metrics Corp.; www.soundmetrics.com) was set facing across the pond and perpendicular to the current. The transducer was mounted 0.05 m below the water surface. Three fish species were in the pond at separate times: Atlantic salmon (number of fish in the pond n=43), striped bass (n=100), and American shad (n=13). More information in https://doi.org/10.1002/tafs.10318 <br><br>NOTE: The authors have more data available by request, however, due to the large file size this is a 20 GB sample.
DOI: 10.17632/43cdmg5hyy
title: for_synthetic_control

description: The csv file, 'for_synthetic_control.csv' contains data on the monthly number of asylum seekers in European countries. Using the csv file, the jupyter notebook file, 'mig_main_to_be_uploaded.ipynb' performs causal inference analysis where the treated unit and the control units are Germany and other European countries, respectively. The outcome variable is the monthy number of asylum seekers from Syria in each country. The sample period is from January 2015 to March 2016.
DOI: 10.17632/8k5d9nb5st
title: Data of repellent, ovicidal, larvicidal and adulticidal action of a nanoemulsion of Citronella essential oil (Cymbopogon winterianus) on Cochliomyia hominivorax (Diptera: Calliphoridae)

description: Raw data from a larvicidal efficacy trial with Cochliomyia hominivorax (Diptera: Calliphoridae) and a commercial citronella essential oil nanoemulsion
DOI: 10.17632/s3zt27txfj
title: Do Business Records Management affect Business Growth?

description: The implementation of a records management plan is an excellent approach to ensure small and medium-sized enterprises (SMEs) are sustained and continue to expand into huge or multi-national corporations. Maintaining records helps businesses in making better judgments and developing appropriate policies, resulting in enhanced effectiveness and efficiency. This will leverage means for tracking business progress and making appropriate decisions to expand the productive component of the economy. SMEs Business growth will help generate tax revenue for the government while also encouraging poverty reduction through tax transfers
DOI: 10.17632/jd33z5d5vv
title: Data of: "Assessing the current modelling approach for predicting the crashworthiness of Formula One composite structures"

description: Data related to the research paper: "Assessing the current modelling approach for predicting the crashworthiness of Formula One composite structures"
DOI: 10.17632/m7374whbh2
title: Survey data on a Chinese service industry

description: Data during covid-19 including the three main variables (supply chain resilience, flexibility, reconfiguration)
DOI: 10.17632/pbhpbtzxwg
title: Organic food consumers in Mexico

description: 35% of the data was collected via the internet through Google Forms with a filter question to consider only organic food consumers. 65% of the data was collected face-to-face in markets, tianguis, and specialty organic food shops, relying on the voluntary participation of consumers that visited the sample locations. Informed consent was obtained from all subjects interviewed involved in this study. The data contains variables from the model of goal-directed behavior, four consumer values and knowledge about the organic foods (CONO). The variables from the model of goal-directed behavior are attitude (ACTI), subjective norms (NSUB), percevied control behavior (CPCO), anticipated emotions (EAPO), frequency of past behavior (FREC), desire (DESE) and purchase intention (INTE). The consumer values are appearance consciousness (CAPA), health consciousness (CSAL), environmental awareness (PAMB), and social awareness (PSOC).
DOI: 10.17632/tw3fvnrf73
title: Data for: In-situ hydrothermal fabrication and photocatalytic behavior of ZnO/reduced graphene oxide nanocomposites with varying graphene oxide concentrations

description: In this article, we report the in-situ hydrothermal fabrication of ZnO/reduced-graphene-oxide nanocomposites with varying graphene oxide concentrations. The catalytic behavior of the nanocomposites was examined using methylene blue as a model pollutant. We demonstrate that the ZnO nanostructural morphology changes from nanoplate-like to nanoparticle-like with increasing graphene oxide concentration. Our nanocomposites are more photocatalytically efficient than pure ZnO, with efficiency increasing with increasing GO concentration.
DOI: 10.17632/x8ssjp5h7s
title: Dataset: Real Effective Exchange Rate Volatility for West African Monetary Zone

description: The dataset provides real effective exchange rate volatility series for West African Monetary Zone (WAMZ), which can be reused without restriction. The data covers the whole member nations in WAMZ namely Liberia, Nigeria, Sierra Leone, Gambia, Ghana and Guinea, and ranges between 1980m1 to 2024m8. The data, therefore, has the potential to be reused for forecasting future unanticipated movements in exchange rates in WAMZ, and also for conducting empirical research relating to exchange rate volatility and trade performance in the region.
DOI: 10.6084/m9.figshare.11366027.v2
title: LIFETIME RISK OF AUTOSOMAL RECESSIVE MITOCHONDRIAL DISORDERS CALCULATED FROM GENETIC DATABASES

description: <b>Background </b>Mitochondrial disorders are a group of rare diseases, caused by nuclear or mitochondrial DNA mutations. Their marked clinical and genetic heterogeneity as well as referral and ascertainment biases render phenotype-based prevalence estimations difficult. Here we calculated the lifetime risk of all known autosomal recessive mitochondrial disorders on basis of genetic data. <b>Methods</b> We queried the publicly available Genome Aggregation Database (gnomAD) and our in-house exome database to assess the allele frequency of disease-causing variants in genes associated with autosomal recessive mitochondrial disorders. Based on this, we estimated the lifetime risk of 249 autosomal recessive mitochondrial disorders. Three of these disorders and phenylketonuria (PKU) served as a proof of concept since calculations could be aligned with known birth prevalence data from newborn screening reports. <b>Findings </b>The estimated lifetime risks are very close to newborn screening data (where available), supporting the validity of the approach. For example, calculated lifetime risk of PKU (16·0/100,000) correlates well with known birth prevalence data (18·7/100,000). The combined estimated lifetime risk of 249 investigated mitochondrial disorders is 31·8 (20·9-50·6)/100,000 in our in-house database, 48·4 (40·3-58·5)/100,000 in the European gnomAD dataset, and 31·1 (26·7-36·3)/100,000 in the global gnomAD dataset. The disorders with the highest lifetime risk (&gt; 3 per 100,000) were, in all datasets, those caused by mutations in the <i>SPG7</i>, <i>ACADM</i>, <i>POLG</i> and <i>SLC22A5</i> genes. <b>Interpretation</b> We provide a population-genetic estimation on the lifetime risk of an entire class of monogenic disorders. Our findings reveal the substantial cumulative prevalence of autosomal recessive mitochondrial disorders, far above previous estimates. These data will be very important for assigning diagnostic a priori probabilities, and for resource allocation in therapy development, public health management and biomedical research.