cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xyc9h3wjxf
title: A Masked and Unmasked Face Dataset

description: A Masked and Unmasked Face Dataset is a collection of a face without medical mask (unmasked face) images and a face with medical mask (masked face) images. Based on the Deep Learning approach, this dataset can be used to build a model to predict the original face (unmasked face) from a masked face image. 

The dataset is organized into is in the Cropped folder. The folder contains images focusing only on the face area (both masked and unmasked); the size of the images varies depending on the size of the detected face area. 

Please cite the paper about face image reconstruction (using this dataset) from the authors .
Each main folder consists of two subfolders, i.e., Masked and Unmasked subfolders. The Masked subfolder consists of face images with a medical mask; on the other hand, the Unmasked subfolder consists of face images without a medical mask. There are 330 images in each subfolder.
DOI: 10.6084/m9.figshare.11881773.v1
title: Cryophage_flex_genes

description: Cryophage.gff - gff annotations of cryophage reconstructionsCryophage_MGIs.tar.gz - Cryophage MGI variants in each metagenomeCryophage_variants.fasta - Complete genomes of all cryophage variants. <br>Mu-like-phage_variants.fasta - complete genomesMu_MGIs_fasta.tar.gz - MGI variants for Mu-like phageMu-like.gffs - gff annotation files for Mu-like phage variants<br><br>
DOI: 10.6084/m9.figshare.28001168.v3
title: Datas - effects of light colour and intensity on stress responses in the Pacific white shrimp.xlsx

description: This study aimed to find the light colour and intensity that induces fewer stress responses and promotes feeding behaviour of <i>Penaeus vannamei</i> shrimp
DOI: 10.6084/m9.figshare.5241109.v1
title: Erratum: Elements of Structure and Ultrastructure of the BIood-Thymus Barrier in ACTH Involuted Thymus

description: The ACTH influence upon the thymus may be a reliable model for stress involution. In this case, the cortical lymphocytic depletion is accompanied by mast cell accumulation and increased caliber of the blood vessels. The blood-thymus barrier which has an active role in involution shows an enriched transport activity of the endothelial cells, great enlargement of the basement membrane, increased macrophage activity within the perivascular space with elevated values of acid phosphatase activity, and thickening of the fibrillar network. The epithelioreticular cells show plenty of vacuoles in their cytoplasm, the mitochondria undergo swelling processes, and their cristae are diminished. The ultrastructural data show that lymphocyte depletion is carried out by macrophage-mediated lymphocytolisis. But by counting the peripheral blood cells an earlier mechanism is revealed; i.e. migration through the enlarged but more permeable blood-thymus barrier. The epithelioreticular cells do not seem to have an active, direct implication in any of the phenomena.
DOI: 10.17632/gvhwmx47xt
title: Nano-hydroxyapatite-incorporated polycaprolactone nanofibrous scaffold as a dentin tissue engineering- based strategy for vital pulp therapy 

description: The dataset of the research project FAPESP 2019/16473-1, published in https://doi.org/10.1016/j.dental.2022.03.006.
DOI: 10.17632/ht4r76w989
title: Boosting methods for multi‑class imbalanced data classification

description: Since canonical machine learning algorithms assume that the dataset has equal number of samples in each class, binary classification became a very challenging task to discriminate the minority class samples efficiently in imbalanced datasets. For this reason, researchers have been paid attention and have proposed many methods to deal with this problem, which can be broadly categorized into data level and algorithm level. Besides, multi-class imbalanced learning is much harder than binary one and is still an open problem. Boosting algorithms are a class of ensemble learning methods in machine learning that improves the performance of separate base learners by combining them into a composite whole. This paper’s aim is to review the most significant published boosting techniques on multi-class imbalanced datasets. A thorough empirical comparison is conducted to analyze the performance of binary and multi-class boosting algorithms on various multi-class imbalanced datasets. In addition, based on the obtained results for performance evaluation metrics and a recently proposed criteria for comparing metrics, the selected metrics are compared to determine a suitable performance metric for multi-class imbalanced datasets. The experimental studies show that the CatBoost and LogitBoost algorithms are superior to other boosting algorithms on multi-class imbalanced conventional and big datasets, respectively. Furthermore, the MMCC is a better evaluation metric than the MAUC and G-mean in multi-class imbalanced data domains.
DOI: 10.17632/jb8bdstwwb
title: Refrigeration Temperature Simulator

description: This dataset includes the implementation of a refrigeration temperature simulator in Matlab and Simulink that can be calibrated against any refrigeration system, given a sample of the ambient temperature inside the fridge under both quiescent conditions and under repeated door openings, and 6 easily measurable system parameters.
DOI: 10.26188/24466279.v1
title: E: encounters, ecologies, and ethics

description: <b>Exploring Human Impact Through Art: A Glimpse into Three Unique Exhibits</b><b>Plastic City: A Canvas of Community Reflection</b>At the heart of Portland State University, an innovative exhibit titled "Plastic City" transformed ordinary walkways into thought-provoking landscapes. For an entire month, visitors witnessed an ever-growing accumulation of discarded plastics right in the campus's core. This installation wasn't just a display; it was an interactive experience designed to spark a dialogue among students, children, and the broader community about our plastic consumption habits. By confronting us with the sheer volume of our plastic waste, "Plastic City" aimed to inspire change and reimagine our relationship with disposable materials.<b>The Secret Underground: Revealing the Layers Beneath</b>Diving into the wintery depths of "The Secret Underground: A Glow World Experience," visitors embarked on an enlightening journey. The entrance to this winter lights exhibit came alive with projections of trash and discarded toys, masterfully crafted to resemble layers of human refuse intertwined with the earth's geology. This artistic venture shed light on the impact of our consumption, inviting us to reflect on the traces we leave behind on the planet.<b>A Journey Through Complex Ecologies</b>Further into "The Secret Underground," the narrative deepened as digital photos and videos illuminated the surroundings, unveiling the intricate ecologies that thrive beneath our feet during the winter season. This immersive part of the exhibit brought to life the interconnected worlds of worms, humans, waste, bones, animals, and crystals through speculative and fabulated ecologies. It served as a potent reminder of our entanglement with these hidden ecosystems, echoing the sentiments of Taylor & Giugni (2012) on the ethical considerations of our coexistence: recognizing our shared habitats and the humbling truth that our stories are part of a much larger narrative, not solely human-centric.These exhibits challenge us to see beyond our immediate surroundings and consider the broader implications of our everyday choices. By confronting us with the physical manifestations of our consumption and inviting us to explore the hidden layers of our world, they encourage a deeper understanding of our place within the complex web of life.
DOI: 10.6084/m9.figshare.25222799.v1
title: Genotype data of Chenghua pigs and Neijiang pigs.

description: The genotype datasets of 21 Chenghua pigs and 49 Neijiang pigs.
DOI: 10.17632/73zgh9fypk
title: Corporate foreign bond issuance and interfirm loans in China

description: Replication package for Corporate foreign bond issuance and interfirm loans in China, accepted in the Journal of International Economics
DOI: 10.17632/bvkvh8hrxd
title: Supporting Information for "Comparative life cycle assessment of two different SOFC-based cogeneration systems with thermal energy storage integrated into a single-family house nanogrid"

description: This dataset aims at facilitating the reproducibility and traceability of the results presented in the manuscript "Comparative life cycle assessment of two different SOFC-based cogeneration systems with thermal energy storage integrated into a single-family house nanogrid". It consists of two files. One file includes the full inventory realized for the LCA, while the second one includes the numerical results of the performed LCA, obtained by means of the following methods: RECIPE, CED, and IPCC. Furthermore, the second file presents additional plots not shown in the related manuscript.
DOI: 10.6084/m9.figshare.12026364.v1
title: Covid Preprint Data

description: Data to support analyses of COVID-19 preprint articles.<br>
DOI: 10.6084/m9.figshare.12844517.v3
title: An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions

description: Many problems in statistics and machine learning can be formulated as an optimization problem of a finite sum of nonsmooth convex functions. We propose an algorithm to minimize this type of objective functions based on the idea of alternating linearization. Our algorithm retains the simplicity of contemporary methods without any restrictive assumptions on the smoothness of the loss function. We apply our proposed method to solve two challenging problems: overlapping group lasso and convex regression with sharp partitions. Numerical experiments show that our method is superior to the state-of-the-art algorithms, many of which are based on the accelerated proximal gradient method. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.19614357.v1
title: ICMR_Pterygium_Study_Data.csv

description: This dataset is from the ICMR EYE SEE study group on determination and comparing the prevalence of ocular diseases like cataract, dry eye and pterygium in multicentric geographically diverse locations of India including populations from plains, hilly and coastal areas. The study also explored the interplay of risk factors including UV radiation, environmental factors, smoking, use of bio-mass fuels etc. in ther pathogenesis.
DOI: 10.6084/m9.figshare.28823531.v1
title: EarthQA KG Ontology file

description: This is the copernicus ontology which has been used to generate the EarthQA KG knowledge graph
DOI: 10.6084/m9.figshare.978004.v2
title: Resampling Markov Chain Monte Carlo Algorithms: Basic Analysis and Empirical Comparisons

description: Sampling from complex distributions is an important but challenging topic in scientific and statistical computation. We synthesize three ideas, tempering, resampling, and Markov moving, and propose a general framework of resampling Markov chain Monte Carlo (MCMC). This framework not only accommodates various existing algorithms, including resample-move, importance resampling MCMC, and equi-energy sampling, but also leads to a generalized resample-move algorithm. We provide some basic analysis of these algorithms within the general framework, and present three simulation studies to compare these algorithms together with parallel tempering in the difficult situation where new modes emerge in the tails of previous tempering distributions. Our analysis and empirical results suggest that generalized resample-move tends to perform the best among all the algorithms studied when the Markov kernels lead to fast mixing or even locally so toward restricted distributions, whereas parallel tempering tends to perform the best when the Markov kernels lead to slow mixing, without even converging fast to restricted distributions. Moreover, importance resampling MCMC and equi-energy sampling perform similarly to each other, often worse than independence Metropolis resampling MCMC. Therefore, different algorithms seem to have advantages in different settings.
DOI: 10.17632/2crfxydfwb
title: Phosphate-oxygen isotopes in groundwater of the Hetao Basin, China

description: The data sets contains phosphate-oxygen isotopes, concentrations of redox sensitive components and relative abundance of bacteria in groundwater of the Hetao Basin, Inner Mongolia, China
DOI: 10.17632/m3sw5hg5zs
title: Data for: The bottom line: Are idioms used in English academic speech and writing?

description: Appendix A: Idioms appearing in at least 2 British Academic Spoken English corpus texts, listed by frequency Appendix B: BASE idioms with a frequency over 1.18 pmw (100 tokens) in the Oxford Corpus of Academic English
DOI: 10.15468/dl.xdq4x3
title: Occurrence Download

description: A dataset containing 219 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 Polygonum arenarium Waldst. & Kit.",
 "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 219 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013295-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2kcpkgf6zx
title: lichens1

description: Lichens, as organisms vulnerable to air pollution, are often used as bioindicators. Their functional variability enables inhabiting different climate regions and determines high water storage capacity. This parameter was examined for two lichen species – Platismatia glauca and Pseudevernia furfuracea. Samples were collected from an area of low air pollution (NE Poland) and exposed to contaminated environment (S Poland). The process of water interception was examined with the use of simulated rainfall under laboratory conditions. Water storage capacity was determined on an interception function as the value above which the volume of water retained in lichen thalli did not increase. PAHs concentration differed among the species and among the samples from clean and polluted environment. After exposure to polluted air, the concentration of PAHs was higher in Platismatia glauca, while in the case of samples from clean environment, there were no differences between the two species. The results of the experiment clearly indicate that air pollution reduces water storage capacity in both lichen species. Samples with higher concentration of aromatic hydrocarbons had lower water storage capacity. In the case of Platismatia glauca the value decreased from 35.84% in samples from clean environment to 8.29% after six months of exposure in the city centre. The respective values for Pseudevernia furfuracea were 25.44% and 12.39%. The species with higher water storage capacity accumulated more PAHs and, consequently, the decrease in water retention was greater. The results provide new insight into ecohydrological research, as lichens differ from plants in their reaction to prolonged exposure to air pollution. Changes in lichen water storage capacity caused by contaminants may affect the microclimate of their habitats. Therefore, there is a causal relation between air pollution and water retention by lichens. Keywords: water storage capacity; simulated precipitation, PAH, interception, retention
DOI: 10.17632/8ztnn4br66
title: Techno-Economic Energy Dataset for Hydrogen Pathways Modelling

description: The dataset compiles techno-economic data for modelling hydrogen pathways, encompassing 36 technologies that span from hydrogen production to its various end uses in transport and industry. The dataset's structure is designed to align with the Open Source Energy Modelling System (OSeMOSYS); however, the techno-economic data can be applied to any modelling framework. The data presented within this dataset was sourced from reports, websites, datasets of international and national organizations, as well as peer-reviewed journal papers. It includes both standard values and projected data for the years 2021-2050, covering capital costs, fixed costs, variable costs, operational lifetimes, efficiencies, and capacity factors.
DOI: 10.17632/g48zyxx7x2
title: Figures and tables 

description: Fig S1-S6 show the annual operation of optimal system components.
Fig S7 illustrates the contribution of optimal system components in total NPC and COE.
Table S2-S5 and S7-S8 represent the performance of system components.
Table S1 reveals electrical production and consumption profile of optimal system configuration. 
Table S6 presents thermal production and consumption profile of optimal system configuration.
DOI: 10.17632/p5rm59k7ph
title: Chest X-Ray

description: Total Number of Images: The dataset comprises 3,475 X-ray images.
Classes within the Dataset:

Normal (1250 Images): These images represent healthy lung conditions, serving as a reference for comparison in diagnostic procedures.

Lung Opacity (1125 Images): This class includes X-ray images depicting various degrees of lung abnormalities, providing a diverse set of cases for analysis.

Viral Pneumonia (1100 Images): Images in this category are associated with viral pneumonia cases, contributing to the understanding and identifying this specific lung infection.

This dataset, originally sourced from Kaggle under the title 'Lung X-Ray Image Dataset,' contains 3,475 X-ray images categorized into Normal, Lung Opacity, and Viral Pneumonia classes. The dataset is licensed under CC BY 4.0, and its original link can be found here: https://www.kaggle.com/datasets/fatemehmehrparvar/lung-disease/data.
DOI: 10.6084/m9.figshare.13072124.v1
title: Extended data workbook 3 Common genes and functions.xlsx

description: Gene set overlap and functional analysis for LRRK2, HLA-DQB1, and HCRT gene correlates.<br>
DOI: 10.6084/m9.figshare.14811636.v1
title: Simpler signatures post-invasion

description: Dataset to reproduce results from "Individual vocal signatures show reduced complexity following invasion" in Animal Behavior. More information about the accompanying files can be found in the file "Simpler_signatures_post-invasion_README.txt". More information about methods and ethics of this research can be found in the publication in Animal Behavior.<br>
DOI: 10.6084/m9.figshare.27287361.v2
title: Residents Burnout Full data edited.xlsx

description: Burnout levels of residents in Middle-Eastern countries is further aggravated by sociopolitical instability. Around 70% of its population has experienced one or more of the following challenges: direct impact of war, a protracted economic crisis, an unstable sociopolitical situation and the catastrophic Beirut port explosion in August 2020. Medical residents in Lebanon have been at the forefront of these calamities. While burnout is an established threat to personal and professional wellbeing and performance, self-determination, measured by satisfaction of three psychological needs, has been suggested as a psychological state driving motivation and thus enhancing wellbeing at the workplace. Yet, the relationship between the satisfaction of the basic psychological needs specifically in medical residents, a population at particular risk for burnout, has not been studied. This study intends to explore prevalence of burnout and the relationship of its three determinants, depersonalization (DP), emotional exhaustion (EE) and lack of personal achievement (PA), and of BPN satisfaction or frustration, with the framework of the Self-Determination Theory (SDT) in healthcare.<b> </b>A cross sectional study among 110 medical residents served to measure basic psychological need satisfaction and frustration (BPNSFS), burnout (MBI), depression, and anxiety (PHQ-4). Residents were also asked about the subjective experience of the ongoing crises (COVID-19 pandemic, Beirut port explosion, and financial breakdown).<b> </b>Self-determination seems to be associated with more DP but with less EE and low PA, the latter being associated with more advanced mental distress. Further research should be done to understand this multifactorial phenomenon better and apply tools that enhance self-determination and improve residents’ resilience to buffer distress in future healthcare providers.
DOI: 10.6084/m9.figshare.5360998.v1
title: RNA benchmark datasets

description: Real and simulated datasets for RNAseq benchmark.
DOI: 10.17632/54rfb5v4mc
title: 50 years of rural labor productivity: A systematic review of economic literature (data and graphs)

description: This study presents a systematic review of the economic literature on rural labor productivity over the past fifty years, utilizing bibliometric and network analysis to identify prevailing themes and research patterns. Drawing from 207 scientific articles indexed in the Scopus database, our analysis reveals five primary research themes: [1] Economic structure, policy, and labor dynamics; [2] Social, cultural, and human capital factors; [3] Land use and agricultural practices; [4] Infrastructure, urbanization, and economic growth; and [5] Environmental sustainability and technological support. The findings underscore the field’s relevance in addressing ongoing rural-urban disparities, gender and social equity issues, and sustainable development challenges.
DOI: 10.6084/m9.figshare.24107727.v1
title: Orthomosaics and DEMs

description: We collected aerial imagery to ground-truth and place our physical characteristics survey data in a wider, reach-scale context. Aerial imagery was collected for each sample reach using a commercially-available unmanned aerial vehicle (UAV). The Utah State University Ecogeomorphology and Topographic Analysis Laboratory (USU ETAL) used the UAV to photograph three hectares of river at each of the five study reaches for a total of fifteen hectares. The USU ETAL lab photographed river reaches in early August 2020 to capture conditions at approximately peak macrophyte coverage. The USU ETAL used the program DroneDeploy to process raw images into Orthomosaics and Digital Elevation Models (DEMs).Please see the metadata file (*.txt, *.xml, or *.aux.xml) for more specific information.
DOI: 10.6084/m9.figshare.26928211.v1
title: Plasma Proteomic analysis of Large Vessel Vasculitis

description: Takayasu arteritis (TAK) and giant cell arteritis (GCA) are the primary forms of large vessel vasculitis (LVV) and can result in serious cardiovascular morbidity. Improved understanding of the molecular basis of these diseases is required to develop novel biomarkers and targeted treatments.To address this, we performed plasma proteomic profiling using the Olink Inflammation 1 and Cardiometabolic Target panels to quantify 184 plasma proteins in two independent cohorts totalling 405 individuals. Cohort 1 included 96 patients with TAK, 35 patients with large vessel-GCA (LV-GCA) and 35 healthy controls (HCs). Cohort 2 consisted of patients presenting acutely with possible cranial GCA (C-GCA); C-GCA was subsequently confirmed (n=150) or excluded (Not C-GCA, n=89). The included datasets provide the scaled relative abundance measurements for both cohorts. The corresponding manuscript is currently under review for publication.