cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20930674.v1
title: Supplementary Material for: Characteristics associated with barriers to eye care: A cross-sectional survey at a free vision screening event

description: Introduction: Social determinants of health can limit access to regular eye care, but their role in ophthalmology is underexamined. The purpose of this study is to assess the relationship between patient characteristics and self-reported barriers to eye care. Methods: This anonymous, cross-sectional survey was conducted at a two-day free eye clinic event in Pittsburgh, Pennsylvania. Adult patients presenting for vision screening were eligible to participate. Patient characteristics (demographics, health status) and self-reported barriers to eye care were collected. Predictors of barriers to eye care were analyzed using binary logistic regression. Results: Of 269 eligible, consecutive patients approached for survey completion, 183 comprised the volunteer sample. The 183 participants (105 female patients [59%]) had a mean (standard deviation) age of 53 (15) years, and generally self-identified as Black (74, 46%) or White (67, 41%). While a third reported having no health insurance (60, 34%), the remaining two-thirds of participants had public (84, 48%) or private coverage (34, 19%). Three-quarters of respondents reported at least one barrier to receiving regular eye care (136, 76%), most commonly medical costs (89, 50%) and insurance issues (73, 41%). Not having health insurance or vision insurance was strongly associated with reporting at least one barrier to care (OR 5.00, p=0.002, and OR 7.46, p&lt;0.001, respectively). Those with self-reported eye disease were more likely to report transportation difficulties (OR 4.45, p=0.013), and employed participants reported difficulty getting time off work to attend eye exams (OR 7.73, p=0.002). Finally, compared to Black race, White race was associated with a higher likelihood of reporting any barrier to care (OR 2.79, p=0.013). Conclusion: Three-quarters of vision screening attendees reported at least one barrier to regular eye care, most commonly medical costs and insurance.
DOI: 10.6084/m9.figshare.22299859.v1
title: ZFAlFF map in losartan group of Replication sample

description: ZFAlFF map in losartan group of Replication sample
DOI: 10.6084/m9.figshare.25602258.v1
title: Analyzing Cultural Heterogeneity through Vehicle Colors: A New Approach on Unstructured Data_Unique Color Ratio of Vehicles by City_Backdata

description: This backdata is for the paper titled "Analyzing Cultural Heterogeneity through Vehicle Colors: A New Approach on Unstructured Data". It shows the status of the Unique Color Ratio of Vehicles (UCRV) by city.
DOI: 10.6084/m9.figshare.26197649.v3
title: Experimental study on the rupture behaviors of orthogonal faults: effects of stress state and rupture initiation location

description: The data required for each figure in the manuscript has been uploaded here.
DOI: 10.6084/m9.figshare.6265466.v1
title: Patient09

description: Female Patient with 237 slice of pulmonary embolism CT-Angiography.
DOI: 10.6084/m9.figshare.97746.v2
title: ariadne

description: ariadne is a java based package written by Tim Evans to implement the ideas produced with Carl Knappett and Ray Rivers. It produces networks based on one of a number of models, though the primary aim is to produce networks based on the cost/benefit optimisation model we have developed. We have used this on our work on networks in the Minoan Aegean (Middle Bronze age) described in our various talks and publications (some of these are also on figshare). In principle ariadne can be used to produce network models for any problem involving two dimensional spatial networks (not necessarily geographical) and currently includes other models such as PPA (proximal point analysis) and gravity models (see interactions paper for comparison). A core part of the package is to produce visualisations (with with eps and jpg output of networks, all based on the jung network visualisations) though it can also be run without visualisations to produce statistical analysis of models. Numerical output in various formats allows visualisation and further analysis using other packages There is some user documentation but it is not kept up to date, and the programme can be a bit delicate. So it probably needs face to face help to get it working or a good working knowledge of java (the code itself is pretty well documented using javadoc). I develop it on a Windows PC, and it should work fine on Linux. I have got it running on a Mac too despite issues there with old versions of java but it is more work to get this running.
DOI: 10.17632/s8x6jn5cvr
title: A Guava Fruits and Leaves Dataset for Detection and Classification of Guava Diseases through Machine Learning

description: (1) Plant diseases are the primary cause of reduced productivity in agriculture, which results in economic losses. Guava is a big source of nutrients for humans all over the world. Guava diseases, on the other hand, harm the yield and quality of the crop. (2) For the identification and classification of plant diseases, computer vision and image processing methods have been commonly used. (3) The dataset includes an image gallery of healthy and unhealthy Guava fruits and leaves that could be used by researchers to adopt advanced computer vision techniques to protect plants from disease. Dot, Canker, Mummification, and Rust are the diseases targeted in the data sets. (4) The dataset contains 306 images of healthy and unhealthy images for both Guava fruits and leaves collectively. Each image contains 6000 * 4000 dimensions with 300 dpi resolution. (5) All images were acquired from the tropical areas of Pakistan under the supervision of Prof. Dr. Ikramullah Lali. (6) All images were annotated manually by the domain expert such as For Guava fruits and leaves; Dot (76), Canker (77), Mummification (83), and Rust (70) Note: The data labeling was manual and can be updated by automatic labeling through machine learning. In the meantime, the authors can also use the data set for the clustering problem.
DOI: 10.6084/m9.figshare.1330133.v1
title: SVM-RFE with Laplacian kernel for classification of signaling proteins based on molecular star graph descriptors using machine-learning models

description: Paper is available at: http://dx.doi.org/10.1016/j.jtbi.2015.07.038 Please cite: Carlos Fernandez-Lozano, Rubén F. Cuiñas, José A. Seoane, Enrique Fernández-Blanco, Julian Dorado, Cristian R. Munteanu, Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models, Journal of Theoretical Biology, Volume 384, 7 November 2015, Pages 50-58, ISSN 0022-5193, http://dx.doi.org/10.1016/j.jtbi.2015.07.038.(http://www.sciencedirect.com/science/article/pii/S0022519315003999) RFE-LAP selected features to improve the classification results with only 11 out of 42 features calculated with S2SNet. Therefore, these results can help to predict signaling function-related proteins using only a reduced amount of molecular information encoded into the protein sequence. We achieved an AUROC of 0.961 ± 0.11% in our 5 runs, and only 11 features: X5, H, S6, X4, eS6, eH, eTr3, eX5, eTr5, eTr0, Tr0
DOI: 10.6084/m9.figshare.14776281.v1
title: OnClass data minimal

description: Dataset for OnClass
DOI: 10.6084/m9.figshare.20073614.v1
title: mechanization data

description: The data sheet contains different demographic and socio-economic status of rice producing farmers and their adoption status of farm mechanization.
DOI: 10.6084/m9.figshare.25217822.v1
title: Parental guarding behaviour affects the evolution of egg shapes

description: When females guard clutches on substrates against predators with a straddling posture, eggs located in the peripheral area of such clutches experience high predation pressure.Thus, selection may favor compact clutches composed of longitudinally elongated eggs.We tested this hypothesis using shield bugs.Our phylogenetic comparative analyses revealed that eggs were more elongated in caring than in non-caring species, although this difference was obscured in species with large eggs.Reconstructed ancestral states of egg shape and maternal care suggested that the enhanced elongation of eggs occurred after the establishment of maternal care.
DOI: 10.6084/m9.figshare.25904035.v3
title: Genome annotation of <i>Corcyra cephalonica</i>

description: Genome annotation (repeats and protein-coding genes)
DOI: 10.6084/m9.figshare.27018373.v2
title: UNITE_v2023_July2023.RData

description: ITS database RDATA downloaded from DECIPHER's website for persistent storage here.
DOI: 10.6084/m9.figshare.28658285.v1
title: Supplementary Material for: A Novel De Novo Exceptional Complex Chromosomal Rearrangement Involving 5 Chromosomes Resulting in Neurodevelopmental Delay and Dysmorphism

description: Introduction: Complex chromosomal rearrangements (CCRs) are constitutive structural aberrations involving three or more chromosomal breaks on three or more chromosomes resulting of complex events such as fork stalling and template switching, microhomology-mediated break-induced repair, or breakage-fusion-bridge cycles. Case Presentation: Here we report 11-year-old female that was referred to our outpatient clinics for learning disability and dysmorphic features. Due to clinical findings; karyotype analysis was done initially and a complex chromosomal rearrangement involving five chromosomes were detected. FISH analysis and chromosomal microarray analysis were done subsequently. Balanced translocations were observed in between chromosomes 1, 5, 7 and 10, a balanced paracentric inversion of chromosome 2, and two interstitial deletions at the long arm of the chromosome 5. Optical genome mapping was done to further investigate molecular mechanisms of this exceptional CCR and a paracentric inversion that probably caused interstitial deletions were detected at chromosome 5. Conclusion: Molecular cytogenetic techniques, such as microarray and FISH, are essential for detecting copy-number variations at complex chromosomal rearrangements that appear to be balanced. Nonetheless, optical genome mapping enhances the resolution offering a valuable complement to traditional cytogenetic techniques to investigate the molecular mechanisms responsible for formation of the CCRs.
DOI: 10.6084/m9.figshare.28920980.v3
title: A corpus of publicly available comments to CNBC’s YouTube video titled “Wired: AI startup Perplexity is ‘BS machine’"

description: A corpus of 472 comments collected on October 21, 2024 (three months post-publication) from CNBC’s YouTube video titled “Wired: AI startup Perplexity is ‘BS machine’,” originally posted on June 21, 2024.
DOI: 10.6084/m9.figshare.3555705.v1
title: Appendix C. Supplementary methods, relative strength of evidence, and goodness of fit for the growth models.

description: Supplementary methods, relative strength of evidence, and goodness of fit for the growth models.
DOI: 10.17632/pjfpvx456d
title: AI_VRS System Car Sales

description: This study examines the adoption of AI-VR systems by sales executives in the Indian automobile industry. This research extends the unified theory of acceptance and use of technology (UTAUT) by incorporating four additional constructs: cognitive distortion, technological neophilia, emotional engagement, and cognitive flexibility. The primary goal of this study is to identify the major factors that influence AI-VR adoption and to understand how these constructs interact in the extended UTAUT framework.
DOI: 10.6084/m9.figshare.13395491.v1
title: Untitled form.csv

description: data on mindfulness & handedness asymmetry
DOI: 10.6084/m9.figshare.14929479.v1
title: Supplementary Material for: Are Incidental Minute Pulmonary Nodules Ultimately Determined to Be Metastatic Nodules in Esophageal Cancer Patients?

description: <b><i>Purpose:</i></b> Esophageal cancer patients may simultaneously have resectable esophageal cancer and undiagnosable incidental minute solid pulmonary nodules. While the latter is rarely metastatic, only a few studies have reported on the outcomes of such nodules after surgery. In this retrospective study, we assessed the incidence of such nodules, the probability that they are ultimately metastatic nodules, and the prognosis of patients after esophagectomy according to the metastatic status of the nodules. <b><i>Methods:</i></b> Data of 398 patients who underwent esophagectomy for resectable esophageal cancer between January 2012 and December 2016 were collected. We reviewed computed tomography (CT) images from the first visit and searched for incidental minute pulmonary nodules &lt;10 mm in size. We followed the outcomes of these nodules and compared the characteristics of metastatic and nonmetastatic nodules. We also assessed the prognosis of patients whose minute pulmonary nodules were metastatic. <b><i>Results:</i></b> Among the patients who underwent esophagectomy, 149 (37.4%) had one or more minute pulmonary nodules, with a total of 285 nodules. Thirteen (4.6%) of these nodules in 12 (8.1%) patients were ultimately diagnosed as being metastatic. Thirteen (8.7%) patients experienced recurrence at a different location from where the nodules were originally identified. Characteristics of the metastatic nodules were not unique in terms of size, SUVmax, or location in the lungs. Two-year and 5-year overall survival rates of patients whose nodules were metastatic were 64.2 and 32.1%, respectively. <b><i>Conclusion:</i></b> The rate of minute pulmonary nodules which were ultimately metastatic was 4.6%. Our findings suggest that esophagectomy followed by the identification of minute pulmonary nodules is an acceptable strategy even if the nodules cannot be diagnosed as being metastatic on the first visit CT due to their small size.
DOI: 10.6084/m9.figshare.19153484.v1
title: SPSS Data Sets (Study 1&2)

description: SPSS Data Sets Study 1 & 2<br>(Glück, J. & Scherpf, A. (2022). <i>Intelligence and wisdom: Age-Related Differences and Nonlinear Relationships</i>. Manuscript submitted for publication (copy on file with author).<br>
DOI: 10.6084/m9.figshare.22277602.v3
title: Supplementary Material 1.xlsx

description: <br><i>A global review on chromosome number and genome size for the filmy ferns family (Hymenophyllaceae Mart., Polypodiopsida)</i><br>Uma revisão global para o número de cromossomos e tamanho do genoma na família das samambaias transparentes (Hymenophyllaceae Mart., Polypodiopsida)
DOI: 10.17632/p2j6psch8r
title: Mechanical properties dataset of mortar reinforced with babassu coconut fiber for strength prediction with artificial neural networks

description: This is the dataset used to strength prediction of mortar reinforced with babassu coconut fiber using artificial neural networks. The dataset contains 51 samples, which come from tests carried out on 13 batches produced in experimental stage. The variables considered in this study include: cement, sand, water/cement ratio, maximum fiber length, fiber percentage and slump, as well as tensile and compressive strength.
DOI: 10.6084/m9.figshare.27314382.v1
title: Raw data for the channel widths and slopes

description: Spatio-temporal variations on alluvial fan channel width in response to grain size on the channel bed under constant upstream boundary conditions<b>.</b>This dataset pertains to the alluvial fan tank experiment conducted at the University of Minnesota, Delta Basin-1. The experiment was designed to study the dynamics of alluvial fan formation under controlled conditions, specifically focusing on the following parameters:Experimental Conditions:Constant Upstream Boundary Condition: The experiment maintained consistent inflow rates throughout the duration of the study.No Base-Level Change: The experiment was conducted without altering the base level, allowing for the observation of sediment transport and deposition solely due to inflow dynamics.Sediment Mixture: The sediment used in the experiment consisted of:50% Crushed Walnut Sediment: diameter ranging form 0.149 to 0.40 mm, density of 1.3 g/cm³.50% Quartz Sand: diameter ranging form 0.075 to 0.090 mm, density of 2.65 g/cm³Flow Rates:Low Qw (LQw): 7 × 10⁻⁵ m³/sec (low water flow rate)High Qw (HQw): 10 × 10⁻⁵ m³/sec (high water flow rate)Low Qs (LQs): 2 × 10⁻⁶ m³/sec (low sediment flow rate)High Qs (HQs): 4 × 10⁻⁶ m³/sec (high sediment flow rate)<br>
DOI: 10.6084/m9.figshare.27605208.v2
title: Phenotyping, Genome-wide Dissection, and Prediction of Maize Root Architecture for Temperate Adaptability

description: Root System Architecture (RSA), crucial for agronomic traits including anchorage, nutrient absorption, and stress responses, profoundly influences maize yield. Analyzing maize RSA dynamics holds potential for ideotype-based breeding and prediction, given the limited understanding of the genetic basis of RSA in maize. Here, we obtained 16 root morphology-related traits (r-traits), 7 weight-related traits (w-traits), and 108 slice-related microphenotypic traits (s-traits) from the meristem, elongation, and mature zones by cross-sectioning primary, crown, and lateral roots from 316 maize lines. Significant differences were observed in some root traits between tropical/subtropical and temperate lines, such as primary and total root diameters, root lengths, and root area. Additionally, root anatomy data were integrated with genome-wide association study (GWAS) to elucidate the genetic architecture of complex root traits. GWAS identifies 809 genes associated with r-traits, 261 genes linked to w-traits, and 2,577 key genes related to 108 slice-related traits. We confirm the function of a candidate gene, <i>FUT5</i>, to regulate root development and heat tolerance in maize. The different <i>FUT5</i> haplotypes found in tropical/subtropical and temperate lines are associated with primary root features, and hold promising applications in molecular breeding. Furthermore, we performed machine learning prediction models of RSA using root slice traits, which achieved the high prediction accuracy. Collectively, our study offers a valuable tool for dissecting the genetic architecture of RSA, along with resources and predictive models beneficial for molecular design breeding and genetic enhancement.
DOI: 10.6084/m9.figshare.14128610.v1
title: Marine litter data in Itamaracá Island, Brazil. 2022.

description: This dataset contains 1 .xlsx file (data_itamaraca_Marine_Litter_2022.xlsx), divided into 5 sheets. The<b> General </b>contains information about ID, Date, Beach, latitude, and longitude of transect begin (lat_begin, lon_begin), latitude and longitude of transact end (lat_end, lon_end), number of transects (transect), presence of oil, seaweed_wrack, natural_vegetation in the sampled area and the Urbanization in each beach.<b>UNEP_cat</b> is a supportive spreadsheet with The United Nations Environment Programme (UNEP) code as descriptions of marine litter types. It included some region-specific items.<b>litter_sand</b> and <b>litter_underwater </b>provide information about the marine litter in the sand and underwater respectively. The data is presented in a number of items. Information about the sampled area is included, allowing the calculation of items per square meter, or in the case of underwater litter the sampling effort per time. <b>brand_audit</b> provides detailed information about the brand, size, color, and extra description of all items collected underwater. Marine litter was collected in Itamaracá island, Pernambuco, Brazil. Three beaches (Forte, Jaguaribe, and Sossego) were sampled in March, June, September, and December. In December extra underwater sampling was done. <br>
DOI: 10.6084/m9.figshare.20049125.v1
title: Development of forty-nine novel earth observation variables (NEOVs) for improving species distribution models in the Himalaya

description: Solid understanding of the critical factors driving Himalayan mountain species' distributions and their explicit mapping is especially crucial in the context of global environmental change. Species Distribution Modeling (SDM) could help conservationists and policymakers develop effective measures to limit the associated risk, and climate-only SDMs cannot adequately serve this purpose. In this scenario, the development of novel ecologically relevant predictor variables and exploring innovative methods to accurately map species distributions are of paramount importance in the Himalaya. In order to strengthen models of species distribution in the Himalaya, 49 novel earth observation variables (NEOVs) have been developed. Of these, 15 phenological variables and 34 biophysical variables were developed from NASA's MODIS datasets and phenological modeling techniques. The novelty of NEOVs lies in their capability to provide information on the fundamental processes driving ecosystem function. These 49 NEOVs will act as a state-of-the-art repository for species distribution modelers as well as policymakers. NEOVs were developed at the Remote Sensing Laboratory, Institute of Environment and Sustainable Development, Banaras Hindu University, India, as part of the National Mission on Himalayan Studies (NMHS) funded by the Ministry of Environment, Forest and Climate Change (MoEF&CC), Government of India. The original source of publication and metadata information of this dataset can be found at <strong>Citations (Mandatory)</strong> Satish, K.V., Dugesar, V., Pandey, M.K., Srivastava, P.K., Pharswan, D.S., and Wani, Z.A (2023). Seeing from space makes sense: Novel earth observation variables accurately map species distributions over Himalaya. <em>Journal of Environmental Management 325 (Part A),</em> 116428<em>. </em> https://doi.org/10.1016/j.jenvman.2022.116428 Satish, K.V., Dugesar, V., Pandey, M.K., Srivastava, P.K., Pharswan, D.S., and Wani, Z.A (2022). Development of forty-nine novel earth observation variables (NEOVs) for improving species distribution models in the Himalaya. figshare. Dataset. https://doi.org/10.6084/m9.figshare.20049125 <strong>Note:</strong> When using the data, you agree to cite the above-mentioned original peer-reviewed publication and the respective dataset.
DOI: 10.6084/m9.figshare.25798102.v1
title: Manuscript supplementary dataset: <i>Hemodynamics Indicates Differences Between Patients With And </i><i>Without A Stroke Outcome After Left Ventricular Assist Device </i><i>Implantation</i>

description: In this study, we conducted an in silico analysis in a set of 12 patients on LVAD support. The patient group was equally split into two sets: one that experienced a stroke post-implantation, and one that did not. We generated a pre-implantation flow estimate, and a post-implantation flow estimate for each patient, using computational fluid dynamics. We characterized hemodynamics using quantitative metrics for helical flow, vortex generation, and wall shear stress. This dataset contains the numerical data, and associated animations for the flow.
DOI: 10.6084/m9.figshare.28043333.v1
title: Data, scripts and supplementary material for "Tracking butterfly flight in the field from an unmanned aerial vehicle (UAV): a methodological proof of principle"

description: Data, scripts and supplementary material for "Tracking butterfly flight in the field from an unmanned aerial vehicle (UAV): a methodological proof of principle"