cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28452545.v4
title: iToBoS 2024 - Skin Lesion Detection with 3D-TBP

description: <b>The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection</b><br>The early detection of skin cancer is critical for improving patient outcomes. Traditionally, dermatologists rely on dermoscopy to examine pigmented skin lesions. While this non-invasive technique enhances diagnostic accuracy, its effectiveness is highly dependent on the clinician’s expertise. Additionally, capturing dermoscopic images for every suspicious lesion is a labor-intensive process. Given these challenges, there is an increasing need for computer-aided diagnosis (CAD) systems that utilize conventional cameras. Such systems can support general physicians and other non-specialist practitioners in identifying potential malignant lesion, improving early detection and intervention. Moreover, they facilitate longitudinal tracking of lesions, aiding researchers in studying disease progression and treatment efficacy.This dataset provides high-resolution skin patch images extracted from 3D total body photographs to support the development of advanced machine learning models for lesion detection. It serves as a valuable resource for researchers working on automated skin lesion analysis, particularly in the context of total body photography (TBP).<b>Dataset Description:</b><br>The iToBoS dataset consists of 16,954 high-resolution images of skin regions obtained from anonymized 3D avatars of patients. These avatars were generated using the Canfield VECTRA WB360 system, a cutting-edge imaging technology that captures comprehensive, full-body skin images using 92 fixed cameras arranged in 46 stereo pairs with xenon flash lighting. The images were collected from patients at two clinical sites: the Clinical Hospital of Barcelona (Spain) and the University of Queensland (Australia).The dataset provides diverse anatomical locations, including the torso, arms, and legs, with each image having an average resolution of 1012x827 pixels and a 45-pixel overlap between adjacent images. The images are extracted from 3D avatars while ensuring compliance with GDPR regulations by automatically removing patient facial features. Each image is accompanied by metadata, including patient age range, body location, and sun damage score, allowing for in-depth analysis and stratification.<b>Significance of the Dataset:</b><b>Facilitates Automated Skin Lesion Detection:</b> The dataset supports the development of AI-based lesion detection models that can improve early diagnosis of skin cancer, particularly in regions with limited access to dermatological expertise.<b>Supports Total Body Photography Research:</b> Leveraging 3D TBP for lesion detection is an emerging field, and this dataset provides a benchmark for further exploration.<b>Enhances Machine Learning Applications:</b> The dataset serves as a benchmark for developing state-of-the-art computer vision and deep learning models for detection of skin lesions.<br>
DOI: 10.17632/g64s8h9k57
title: Traffic flow in 13 Romanian cities during and around lifting of COVID19 restrictions

description: This dataset comprises street-level traces of traffic flow as reported by Here Maps for 13 cities of Romania from 15th. of May 2020 and until 9th. of June 2020, covering the time two days before lifting of the mobility restrictions imposed by nation-wide State of Emergency and until five days after the second wave of relaxation (1st. of June 2020). Data were sampled at a 15-minute interval, consistent with the Here API update time. The data are manually annotated with relevant local political and religious events that might influence the traffic flow. Considering the relative scarcity of real-life traffic data, one can use this data set for micro-simulation during development and validation of Intelligent Transportation Solutions (ITS) algorithms and policies while another facet would be in the area of social and political sciences when discussing the effectiveness and impact of statewide restriction during the COVID19 pandemic.
DOI: 10.17632/wf4rw6kgg9
title: ANDROMEDA data from Ejulve cave (MIS 5e to MIS 3)

description: Data for: Orbital-to-millennial scale climate variability during Marine Isotope Stages 5 to 3 in NE Spain (QSR) Stalagmite stable isotope (d18O, d13C) and trace metal data (Mg/Ca)
DOI: 10.6084/m9.figshare.23528667.v6
title: Genome annotation files, orthogroup information, phylogenetic trees and alignments used for bryophyte genome project

description: This data set include the phylogenetic trees and alignment used for bryophyte genome project paper.
DOI: 10.6084/m9.figshare.28528001.v2
title: Additional Data for Safety Decision-Making for Autonomous Vehicles Integrating Passenger Physiological States by fNIRS.zip

description: This dataset is the additional data for reproduction of results and figures in the paper 'Safety Decision-Making for Autonomous Vehicles Integrating Passenger Physiological States by fNIRS'. The dataset contains fNIRS data for classifier training of 10 participants under 3 different scenarios.
DOI: 10.6084/m9.figshare.28861724.v2
title: Molecular markers for <i>Richelia </i>symbionts of open ocean diatom symbioses

description: Decades of research has been devoted to understanding the occurrence, distribution, and activity of different nitrogen fixers in the global oceans. With this work we provide new methods for specific and sensitive detection of three biogeochemically important marine nitrogen fixing <i>Richelia</i> spp. symbionts of diatoms. The nine new quantitative polymerase chain reaction assays were experimentally tested in lab and field samples. The assays target three gene orthologs that when expressed can be indicative of metabolic activities between various <i>Richelia</i> spp.: phosphorus transport (<i>pstS</i>), iron transport (<i>exbB</i>), and a constitutively expressed gene for normalization <i>(rnpA</i>). Our results show that these assays are specific, can detect temporal dynamics in gene expression of lab cultures, and importantly are indicative of relative nutrient limitation (e.g., P, Fe) and are an improvement over the previously used <i>nifH</i> assays as estimations of abundance (DNA based) and metabolic activities (RNA based) were without cross-reaction.
DOI: 10.6084/m9.figshare.28868360.v2
title: Supplementary Date: A Tungsten Polyoxometalate Mediated Aqueous Redox Flow Battery with High Open-Circuit Voltage

description: The optimized computational models and molecular dynamics trajectories of the initial and final configurations are provided.
DOI: 10.17632/828hp2sxw6
title: Household Spending Diversity, Aggregation and the Value of Product Variety Economic Modelling

description: This data contains instructions and do files required to replicate results discussed in the manuscript "Household Spending Diversity, Aggregation and the Value of Product Variety Economic Modelling"
DOI: 10.17632/mdrt2wbmdz
title: Sexually Transmitted Infections (STIs) and the Role of Nurses in Prevention and Health Education

description: Sexually transmitted infections (STIs) pose a significant global health concern. The role of nurses is essential in the prevention, identification, and management of STIs. This article examines prevention strategies, the importance of health education, and the active role of nurses in reducing STI transmission. By analyzing existing literature and statistical data, a comprehensive overview of nurses' impact on public health is provided.
DOI: 10.6084/m9.figshare.23537892.v2
title: Data from: BirdWingData: wingspan and wing area data of birds compiled from multiple literature sources and original measurements

description: Data on wingspan, wing area, and body mass of birds compiled from 25 published literature sources and unpublished data. The dataset covers 856 species of birds across 95 families and 28 orders.
DOI: 10.17632/7fhwrgfh2s
title: Dataset for High-Entropy Alloys Phases

description: The dataset contains microstructural phase experimental observations and metallurgy-specific features as introduced and reported in peer-reviewed research articles. 

Secondary data (i.e. composition-specific features, alloy processing and post-processing parameters, and the resulting phases) were collected. Some typical empirical HEA design parameters were calculated using known methods. Data was processed using Excel and R, a language and environment for statistical computing, for purposes of visualization and data analysis.
DOI: 10.17632/7p68nhyrcy
title: Data for: Optimal feature selection for prediction of wind erosion threshold friction velocity using a modified evolution algorithm
DOI: 10.17632/9n2chs5ntn
title: Burnout and Work Engagement of Teachers

description: Persnal ratings of teachers on their burnout and work engagement
DOI: 10.21942/uva.9272618.v1
title: Conditional Clauses in Sign Language of the Netherlands

description: In deze map bevinden zich PDF-bestanden van de voorwaardelijke bijzinnen die ik heb onderzocht in de Nederlandse Gebarentaal. Dit zijn zinnen die ik uit het corpus NGT heb gehaald, en heb geanalyseerd op een aantal taalkundige aspecten: o.a. de aanwezigheid van manuele markering, non-manuele markering en de volgorde van hoofd- en bijzin. Verder staat er een read-me-bestand met verdere uitleg in deze map en een post-print manuscript van de bijbehorende studie.
DOI: 10.6084/m9.figshare.21701966.v1
title: Dataset for Democracy and Foreign Direct Investment in BRICS TM countries

description: The study, first of all, tested the hypothesis of “there is a relationship between democracy and FDI” to answer the research question raised at the beginning. The research sample was selected as BRICS-TM (Brazil, Russia, India, China, South Africa, Türkiye, Mexico) countries that have come to the fore in the world economy in recent years and whose strategic importance and power are expected to increase in the upcoming years. These countries were preferred because of their potential to attract FDI. <br> FDI (LNFDI) was modeled as the dependent variable in this study. The democracy variable (DEMOC) was fictionalized as the independent variable. In addition, inflation (INF) and per capita income (PGDP) variables affecting FDI were added to the model as control variables based on the literature. First of all, the data on the indices of "political rights" and "civil liberties", which are accepted as indicators of "democracy" in the literature, were collected from the Freedom House database, and then the means of these indices were included in the analysis as values ​​for the variable of democracy. The index takes a value between 1 and 7; 1 is the best state of the level of democracy and 7 is the worst state of the level of democracy. Index values were attached to the model by scaling so that the minimum was 0 and the maximum was 100 in case of problems in analyses, calculation, and interpretation. In this study, inflation and income per capita variables were preferred in terms of both being the most preferred variables in the literature (details are given in Literature Review) and being the variables that affect foreign direct capital as the most inclusive in terms of macroeconomics.
DOI: 10.17632/9z3hm8jwgn
title: Data for: 4D history of the Nimbus VHMS ore deposit in the Yilgarn Craton, Western Australia

description: Supplementary data a. 40Ar/39Ar results for the sericitized plagioclase from the dacites at the nimbus deposit.
DOI: 10.6084/m9.figshare.22323577.v1
title: Evolutionary and ecological trends in the Neotropical cycad genus Dioon (Zamiaceae): An example of success of evolutionary stasis

description: The data contains 54 files of filtered reads corresponding to the samples used in our research to construct the phylogenetic relationships in the genus <em>Dioon</em>.
DOI: 10.6084/m9.figshare.26444968.v1
title: A Road to Find Them All: Towards an Agnostic Strategy for Test Smell Detection

description: Test smells are indications of potential problems in the design and implementation of automated tests. Unit test automation frame- works (xUnit) generally provide similar features for test setup, veri- fication, and teardown steps. Likewise, test smell detection tools perform similar detection steps for smells across programming lan- guages and xUnit frameworks, which might represent a redundant effort. This paper proposes a unified strategy to detect test smells across xUnit frameworks. To do so, we convert the original test code to a standard format among programming languages and xUnit frameworks and search for smells in it, thus promoting the reuse of test smell detection steps. Also, to demonstrate our strategy in practice, we implement a tool named SniffML, which can detect 7 test smells. As the standard format, SniffML considers the srcML li- brary to convert the test code to XML. To evaluate our strategy and tool, we apply SniffML to analyze 300 from 9 open-source projects written in C++, C#, and Java using GoogleTest, NUnit, and JUnit, respectively. In our study, (i) we evaluate its performance through precision, recall, and f-measure metrics; and (ii) we compare its performance to other popular test smell detection tools (i.e., xNose for C# and JNose and tsDetect for Java). As results, we achieved a precision of 97.99%, a recall of 96.90%, and an f-measure of 97.44%, indicating promising results in detecting test smells across xUnit frameworks. We achieve similar results when comparing SniffML to xNose, JNose and tsDetect, demonstrating the positive potential of our approach. We also contributed to the first test smell detection tool that supports the Google framework.
DOI: 10.17632/489mvgbsxg
title: Data for "Study on the measurement of isoprene by Differential Optical Absorption Spectroscopy"

description: Data used in the manuscript submitted to AMT with title of "Study on the measurement of isoprene by Differential Optical Absorption Spectroscopy"
DOI: 10.17632/p5dwgpcx3c
title: Alex Zizinga 2021-Assessment of FAO AquaCrop Model for simulating maize (Zea Mays L.) productivity under selected climate smart agriculture practices for soil water management in a sub-humid environment

description: This data is from the field experiment conducted in Uganda fror three growing seasons conducted at Bulindi Zonal Agriculture Research Development Institute, Western Uganda  (1° 00' – 2° 00' N and 30° 30' – 31°45' E,  1276 m asl). The data includes files describing seven treatments used in the experiment to simulate maize yield and biomass in sheet one of Crop growth file with all seasons of simulated and field observations for three growing seasons aligned to the AquaCrop model evaluation statistics, Evapotranspiration (Etr),  Water Use Efficience (WUE) in sheet 2 and the Climate data in sheet three (Climate). The individual simulated files are titled  in a folder for all seasons (The experiment consisted of seven treatments which included grass mulch with thicknesses of 2 cm (M2 cm), 4 cm (M4 cm) and 6 cm (M6 cm), halfmoon (HM), permanent planting basins (PPB) of 20 cm (PPB20 cm) and 30 cm (PPB30 cm). Soil hydarulic properties include field capaciy, permanent wilting point and saturation of the soils at the study site.
DOI: 10.17632/ppd8jm435p
title: thermo physical 

description: Thermo physical properties of nanofluids 
The current study focuses the effect of oxidized multiwalled carbon nanotube dispersion in ethylene glycol–water mixtures on thermal conductivity and dynamic viscosity. The indirect assessment of heat transfer characteristics  of the nanofluids is carried out from physico -thermal properties through Mouromtseff number (Mo).  The base fluids comprise of all volume proportions of ethylene glycol - water combinations, with the volume percentage of ethylene glycol ranging from 100% to 0% for intended use in both for automotive and solar thermal applications. To achieve highest stability in EG-Water combinations, the MWCNTs are oxidised and dispersed in weight fractions of 0.05, 0.1, 0.25, and 0.5. For two months, the stability of nanofluids was assessed using UV-Vis spectroscopic analysis.  There is a substantial surge in thermal conductivity of all samples in the range of 15 to 24 percent when MWCNTs are dispersed in the base fluids. A data set of 1500 points for all cases of temperatures, mass fractions, percentage of ethylene glycol is taken and correlations for thermal conductivity and dynamic viscosity have been proposed. After analysis of thermo-physical properties using Mouromtseff number (Mo), Dilute nanofluids with low concentration were shown to have the highest heat transfer capability under turbulent flow.
DOI: 10.6084/m9.figshare.22643434.v1
title: Multiclass Weeds Dataset for Image Segmentation

description: The Multiclass Weeds Dataset for Image Segmentation comprises two species of weeds: Soliva Sessilis (Field Burrweed) and Thlaspi Arvense L. (Field Pennycress). Weed images were acquired during the early growth stage under field conditions in a brinjal farm located in Gorakhpur, Uttar Pradesh, India. The dataset contains 7872 augmented images and corresponding masks. Images were captured using various smartphone cameras and stored in RGB color format in JPEG format. The captured images were labeled using the labelme tool to generate segmented masks. Subsequently, the dataset was augmented to generate the final dataset.
DOI: 10.6084/m9.figshare.24236434.v1
title: Underlying data for "Steady global surface warming from 1973 to 2022 but increased warming rate after 1990" (10.1038/s43247-023-01061-4)

description: Surface temperature datasets for Samset et al. 2023, Communications Earth & Environment, 10.1038/s43247-023-01061-4. ("Steady global surface warming from 1973 to 2022 but increased warming rate after 1990").Observational and model based surface temperature anomalies are provided, with and without the Green's function based filtering applied.<br>
DOI: 10.6084/m9.figshare.24417526.v1
title: raw rice

description: raw rice images for GrainDet
DOI: 10.6084/m9.figshare.24724206.v1
title: Data for “Stream size-dependent effect of urban land use on occupancy of an apex freshwater carnivore recolonizing past ranges”

description: Accurate assessment of population trends and factors that limit distributions of threatened species is key to conserving biodiversity. A reduction in impacts of human land use on species habitats may be one of the factors involved in the recolonization of former ranges by native species. The signature of this process could be detected as a temporal reduction of land use effects on species distributions, or as a spatial reduction, with effects persisting only in habitats more sensitive to anthropogenic<i> </i>stressors. We explored these hypotheses in a recolonizing semiaquatic carnivore. Our species of interest was the Eurasian river otter (<i>Lutra lutra</i>) in Italy, a nationally vulnerable species with a restricted but expanding range. Human land use is likely to strongly affect riparian and stream communities through habitat degradation. We used three independent survey datasets collected in 2003, 2009 and 2019 at the southern range periphery, and unpaired-site occupancy models to account for imperfect detection in otter surveys. To assess how land use affects recolonization by otters we tested three main model predictions: (1) Occupancy increased over years, (2) Effects of agricultural and urban land cover on occupancy decreased over years, (3) Effects of agricultural and urban land cover were constant across years and changed with stream size and elevation. We found evidence that otter occupancy increased over years, with predicted mean occupancy of 0.27 in 2003 and 0.65 in 2019. An interaction effect of urban land cover with stream size was the strongest predictor of otter occupancy. Interestingly, higher percentage of urban land cover around streams was predicted to reduce the probability of occupancy at smaller streams, but did not influence occupancy at larger streams. Despite a large increase in occupancy, otters at the southern periphery of the Italian range are still unable to colonize small rivers in urbanized areas. This pattern supports our hypothesis that human land use can affect recolonizing species at sensitive habitats, considering the intrinsic vulnerability of small stream ecosystems to anthropogenic stressors. Restoring small streams impacted by urban areas can be a valuable conservation action to increase habitat connectivity and favour recolonization of otters.
DOI: 10.6084/m9.figshare.25126169.v2
title: <b>Quality-preserving multilevel mesh generation for building models</b>

description: <b>Data Description:</b>This dataset contains all the original input data and result data from our experiments.The result data include Comparison with commercial software, Comparison with academic approaches, Comparison with alternative pipeline。<pre>@article{xu2024quality,<br> title={Quality-preserving multilevel mesh generation for building models},<br> author={Xu, Hai and He, Biao and Zhang, Chen and Lin, Haojia and Kuai, Xi and Guo, Renzhong},<br> journal={International Journal of Digital Earth},<br> volume={17},<br> number={1},<br> pages={2376269},<br> year={2024},<br> publisher={Taylor \& Francis}<br> doi:https://doi.org/10.1080/17538947.2024.2376269<br>}</pre>
DOI: 10.6084/m9.figshare.28473774.v1
title: Statistical Inference for High-Dimensional Spectral Density Matrix

description: The spectral density matrix is a fundamental object of interest in time series analysis, and it encodes both contemporary and dynamic linear relationships between component processes of the multivariate system. In this paper we develop novel inference procedures for the spectral density matrix in the high-dimensional setting. Specifically, we introduce a new global testing procedure to test the nullity of the cross-spectral density for a given set of frequencies and across pairs of component indices. For the first time, both Gaussian approximation and parametric bootstrap methodologies are employed to conduct inference for a high-dimensional parameter formulated in the frequency domain, and new technical tools are developed to provide asymptotic guarantees of the size accuracy and power for global testing. We further propose a multiple testing procedure for simultaneously testing the nullity of the cross-spectral density at a given set of frequencies. The method is shown to control the false discovery rate. Both numerical simulations and a real data illustration demonstrate the usefulness of the proposed testing methods.
DOI: 10.6084/m9.figshare.5387533.v1
title: Matlab package for the Gait and Posture experiment from Pedestrian motion modelled by Fokker–Planck Nash games

description: This matlab package is set up to reproduce the results of test case 4: Gait and Posture. A readme file is included to help in the simulation and to describe the main modules of the package and the location of the input.
DOI: 10.17632/wx7v7rmg7h
title: Installation Unit - REGISTOS DE BAPTISMOS

description: A CIDOC-CRM Ontology Representation of the Portuguese Archival Description Unit, entitled "Registos de baptimos" (http://pesquisa.adporto.arquivos.pt/details?id=488469), an Installation Unit with Reference Code "PT/ADPRT/PRQ/PPRT01/001/0004". This dataset is part of the results obtained from the semantic migration process of DigitArq - Portuguese Archive Database - metadata into CIDOC-CRM Ontology representation. This work is done in the context of the R&D EPISA project (Entity and Property Inference for Semantic Archives), a research project financed by National Funds through the Portuguese funding agency, FCT (Fundação para a Ciência e a Tecnologia) - DSAIPA/DS/0023/2018.