cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28229849.v2
title: Salmonella enterica wgMLST scheme.

description: Backup of BioNumerics Salmonella enterica wgMLST scheme.
DOI: 10.17632/d26xhgz59f
title: Data for: DOPAMINERGIC HYPERACTIVITY IN NEUROLOGICAL PATIENTS WITH DELIRIUM

description: This database includes clinimetric and neurochemical data (mainly homovanillic acid) of neurological patients with and without delirium
DOI: 10.6084/m9.figshare.20855542.v2
title: ANFIS MODELING IN PROJECTION WELDING OF NUTS TO SHEETS

description: Projection welding Adaptive neuro-fuzzy inference system, Genetic algorithm.ojection welding Adaptive neuro-fuzzy inference system, Genetic algorithm. this study, the maximum weld strength in projection welding of nuts to sheets (DD13 sheet metal part and AISI 1010 nut) was investigated using optimum input parameters (weld current, weld time and hold time) in order not to damage weld joint during the car assembly. The experimental strength tests were carried out for each one hundred and forty actual samples. The projection welding process was modeled using an Adaptive Neuro-Fuzzy Inference System (ANFIS). One hundred of these experimental data were used for training in order to model the physical system. Forty experimental data were randomly selected over one hundred and forty actual experimental data. The randomly selected experimental data were used to validate the developed model. The proposed model exhibits good agreements with test data. The developed model was also checked based on squared coefficient of correlation. After all good agreements and validations, Genetic Algorithm (GA) was used to obtain some intermediate values not found on the actual experimental data. Maximum output parameter (weld strength) was determined using these optimum intermediate input parameters. Maximum strength of the projection welding was increased by five percentages using these optimum intermediate input parameters. Finally, all open source Matlab codes and a Google drive links for all Matlab files related to modeling and optimization of the physical system were added to Appendices in order to make other researchers’ works easy. Besides, these Matlab codes and files are applicable for any physical system with very small changes in codding.
DOI: 10.6084/m9.figshare.3822330.v1
title: Raw Data Behaviour from Can horses read emotional cues from human faces? Re-analysis of Smith et al. (2016)

description: Raw Data Behaviour
DOI: 10.6084/m9.figshare.4496795.v1
title: Microsecond molecular dynamics simulation of kinase domain of the human tyrosine kinase ABL1

description: This is a one microsecond trajectory of the catalytic domain of the human tyrosine protein kinase ABL1 (UNIPROT:ABL1_HUMAN, residues 242-493). The simulation was generated on Folding@home using OpenMM 6.3.1 with the AMBER99SB-ILDN forcefield, TIP3P water, and neutralizing salt. A Langevin integrator with 2 fs timestep, 300 K temperature, and 1/ps collision rate was used. PME with a nonbonded cutoff of 1.0 nm was used with default tolerance of 5.0e-4. A long-range isotropic dispersion correction was used to correct for the truncation of Lennard-Jones interactions at 1.0 nm. A molecular-scaling Monte Carlo barostat was applied using a 1 atm reference pressure, with MC moves attempted every 50 steps. Coordinates were saved every 250ps, and waters and ions stripped. The trajectory file contains 4000 snapshots. Initial models were generated with Ensembler (see References) using the ABL1 structure from chain B of PDB ID: 2GQG as a template.<br>Manifest:* run17-clone3.jpg - image of initial simulation snapshot* run17-clone3.pdb - PDB file of initial simulation snapshot* run17-clone3.h5 - MDTraj HDF5 format trajectory<br>To convert the trajectory, see the MDTraj `mdconvert` command:http://mdtraj.org/latest/mdconvert.html<br>For information on installing MDTraj, see:http://mdtraj.org/
DOI: 10.17632/28yc4cbyg9
title: AI‑TPACK_Competencies_PD_Module_PSTs

description: This is the data folder of "Exploring Emergent AI‑TPACK Competencies in a Two-Week AI Literacy Module for Preservice Teachers" article.
DOI: 10.17632/sfrbdjvxcc
title: MIND.Funga App: images dataset from Neotropical macrofungi used to train an artificial neural network to recognize fungal species

description: Macrofungi produce reproductive structures (spore-bearing), the sporomata, visible to the naked eye. These sporomata have variable shapes, sizes, and colors. They are commonly known as mushrooms, puffballs, earthstars, jelly fungi, and bracket fungi. Informative photos can often be enough to recognize species or taxonomic groups of these macrofungi. Therefore, we built a database with standard and good-quality images for species recognition through the MIND.Funga application (MIND.Funga App). The MIND.Funga App does macrofungi image recognition based on deep learning neural network (DLNN) and suggests species names with confidence ratings. This second version of the database used by MIND.Funga App contains 17,467 images that were manually curated and resized (all images are squared). All images are separated by taxons (more than 500 species) in individual directories named with the current accepted scientific name. When species identification was not possible, the directory was named with the specimen's genus.

The images were gathered and compiled from several sources, including collaborators from Facebook groups, citizen scientists, partner researchers, scientific papers, and from MIND.Funga research projects and personal data from MIND.Funga members. For the proper operation of the MIND.Funga app, it is necessary that the database used to train the DLNN be constantly supplied and composed of an expressive number of good-quality images and a representative number of species. Thus, it is expected that new versions of the database will be published in the near future. This research is supported by FAPESC/CNPq (PRONEM) 2020TR733. For more information on the collaboration net and the project, see https://mindfunga.ufsc.br/.
DOI: 10.6084/m9.figshare.19768351.v1
title: staahl2016visualization_ST_Breast_Cancer

description: staahl2016visualization_ST_Breast_Cancer is a spatial transcriptomics datasets of human breast cancer, published with the paper presenting spatial transcriptomics (ST) technology. It was generated by ST, that allows visualization and quantitative analysis of the transcriptome with spatial resolution in individual tissue sections. The staahl2016visualization_ST_Breast_Cancer dataset has 68 sub-datasets with almost 19000 gene expression features, which contains 23 breast cancer patients with 5 breast cancer subtypes with 3 replicates. There are 14 HER2_luminal, 15 HER2_non_luminal, 12 Luminal_A, 15 Luminal_B and 12 TNBC sub-datasets in the dataset. The original paper provided the spot-wise gene expression matrix in https://data.mendeley.com/datasets/29ntw7sh4r/5, paired with H&E images and spot-wise tumor annotation of each sub-dataset.
DOI: 10.17632/z856bdmppn
title: Data for: RADIUM ISOTOPES FOR GROUNDWATER AGE AND SUSTAINABILITY IN THE HIGHLAND OF ANTANANARIVO, MADAGASCAR

description: Raw data and indication of the software to open and analyse these data.
DOI: 10.6084/m9.figshare.25942822.v1
title: ESC24-0310

description: A manuscript submitted to <b>Ecospherh</b>, titled <b><i>The Impact of Ecological Protection Policies Evolution on Spatial Temporary Changes: Evidence from Qiang River Basin</i></b>, which includes the calculation of Moran's index, coupling coordination, and the structure and process of spatial Durbin models.
DOI: 10.6084/m9.figshare.29181176.v1
title: HMAP Data File Gulf of Maine fisheries - In Process

description: Gulf of Maine fisheries data file containing catch data for Cod, Hake, Haddock, Mackerel, Herring, Flounder, Halibut, Pollock, and others. Includes fishing ground locations and landing ports.
DOI: 10.17632/jh63d6jmmc
title: Synthetic dataset for visco-acoustic imaging

description: The dataset contains ultrasonic waves simulated in viscous tissues for two and three-dimensional domains. The dataset contains the physical parameters of a breast sample with a high-contrast inclusion, the acquisition setup with positions of sources and receivers, and the associated pressure-wave data at ultrasonic frequencies. The wave propagation is based on seven different viscous models and different choices of boundary conditions are given.
DOI: 10.17632/rc8dj9zrct
title: Trends of hospital mortality at Kisumu county hospital between 2018 and 2019

description: Introduction: Due to a lack of information on patient mortality, healthcare planners rarely use            local data for resource allocation and hospital management. This results in missed opportunities             to build hospital capacity to address common causes of death, as well as a poor hospital reputation, fewer patients seeking hospital care, increased medical errors, and increased inpatient mortality.
Objective: To determine trends of hospital mortality between 2018 and 2019 at Level Four Kisumu County Hospital, Kenya. 
Methods: The study was a cross sectional retrospective study design. The study targeted files of patients who died between January 2018 and December 2022. Systematic sampling was used in which every file per ward was given a serial number. Each department formed a stratum. Sample size was determined using Yamane Taro formula (N/1+N(e2) which yielded 203 as sample size from population of 680. The risk of death based on the presence or absence of doctor and nurse was analyzed by odds ratio. Chi-square was used to check association of appropriateness of facility, delay of care and distance and mortality. Variation in ward mortalities was analyzed using ANOVA to assess and data presented as line graphs.
Results: According to the current study, the medical ward had the highest 2-year in-hospital mortality rate of 13.86%, while obstetrics and gynecology (reproductive health) had the lowest mortality rate of 0.47 percent. Infections were responsible for 42% of hospital deaths in patients under the age of 35, while noncommunicable diseases were responsible for 41% of hospital deaths in patients over the age of 60. According to the study, 3% of hospital deaths could have been avoided. When a nurse and a doctor were all present, there was a significant difference in the odds of a patient dying (OR=0.697). Comorbidity was a significant risk factor for death among patients who died in 2018 and 2019 (p=0.05). Patient characteristics such as age, education level, and gender were not associated with hospital deaths (p>0.05).
Conclusion: Hospital deaths among the elderly are caused by noncommunicable diseases, while deaths among the young are caused by infectious diseases, raising the question of the need to improve the nurse-doctor relationship in order to reduce avoidable deaths among patients admitted.
DOI: 10.6084/m9.figshare.14718585.v1
title: Survey results

description: Survey results
DOI: 10.6084/m9.figshare.20195120.v1
title: Subject 2 Data

description: This dataset is the high gamma band amplitude estimate for Subject 2 (RCH1). <br> RCH1_cell_normalized.mat is comprised of cells containing continuous free behavior. Data is z-scored in each cell block. <br> RCH1_cell_unnormalized.mat is comprised of cells containing continuous free behavior. Data is NOT z-scored in each cell block. <br> RCH1_epoch_normalized.mat is comprised of 30-second epochs of different types of behavior. Data is NOT z-scored in each cell block. X are the epochs and Y are the behavioral labels. <br>
DOI: 10.6084/m9.figshare.20748340.v1
title: Supplementary Material for: Development of a root caries prediction model in a population of dental attenders

description: Root caries prevalence is increasing as populations age and retain more of their natural dentition. However, there is generally no accepted practice to identify individuals at risk of disease. There is a need for the development of a root caries prediction model to support clinicians to guide targeted prevention strategies. The aim of this study was to develop a prediction model for root caries in a population of regular dental attenders. Clinical and patient-reported predictors were collected at baseline by routine clinical examination and patient questionnaires. Clinical examinations were conducted at the four-year timepoint by trained outcome assessors blind to baseline data to record root caries data at two thresholds - root caries present on any teeth (RC&gt;0), and root caries present on three or more teeth (RC≥3). Multiple logistic regression analyses were performed with the number of participants with root caries at each outcome threshold utilised as the outcome and baseline predictors as the candidate predictors. An automatic backwards elimination process was conducted to select predictors for the final model at each threshold. The sensitivity, specificity and c-statistic of each model's performance was assessed. A total of 1432 patient participants were included within this prediction model, with 324 (22.6%) presenting with at least one root caries lesion, and 97 (6.8%) with lesions on three or more teeth. The final prediction model at the RC&gt;0 threshold included increasing age, having ≥9 restored teeth at baseline, smoking, lack of knowledge of spitting toothpaste without rinsing following toothbrushing, decreasing dental anxiety and worsening OHRQoL. The model sensitivity was 71.4%, specificity 69.5% and c-statistic 0.79 (95% CI 0.76, 0.81). The predictors included in the final prediction model at the RC≥3 threshold included increasing age, smoking and lack of knowledge of spitting toothpaste without rinsing following toothbrushing. The model sensitivity was 76.5%, specificity 73.6% and c-statistic 0.81 (95% CI 0.77, 0.86). To the authors’ knowledge this is the largest published root caries prediction model, with statistics indicating good model fit and providing confidence in its robustness. The performance of the risk model indicates that adults at risk of developing root caries can be accurately identified, with superior performance in the identification of adults at risk of multiple lesions.
DOI: 10.6084/m9.figshare.28732084.v1
title: PCA results from Evidence for clinging arboreality in a Middle Jurassic stem lepidosaur

description: Final_S3 PCA results.xlsx
DOI: 10.17632/46kw4zxxnw
title: Data for: Optimal mathematical programming for the warehouse location problem with Euclidean distance linearization

description: Problem instances for the warehouse location problem, optimal solutions for small-sized instances, and source code for WLP by AMPL.
DOI: 10.17632/c4x5fpwc23
title: Guide in Data and Methodology

description: Given the implementation of the Data Security Law in China, the authors do not have permission to share data. We therefore provide a detailed and replicable guide in data and methodology.
DOI: 10.6084/m9.figshare.14192105.v1
title: Upslope failure mechanisms and criteria in submarine landslides: shear band propagation, slab failure and retrogression

description: The datasets include all used data in a paper, titled at 'Upslope failure mechanisms and criteria in submarine landslides: shear band propagation, slab failure and retrogression', to Journal of Geophysical Research - Solid Earth. <br>
DOI: 10.6084/m9.figshare.26968186.v2
title: One Parametric Fitting of Japanese Male Mortality Curves by Gamma Vitality Model

description: These files are the graphs obtained by one parametric fitting of Japanese male mortality curves, and the used EXCEL file without macros. I added some comments on the worksheets. The same method is used as written in my theses "Basic Research of the Method of Human Mortality Curve Fitting and Mortality Forecast using Three Parametric Gamma Vitality Model".
DOI: 10.6084/m9.figshare.7473092.v2
title: Comparing the mRNA expression profile and the genetic determinism of intramuscular fat traits in the porcine gluteus medius and longissimus dorsi muscles

description: <b>Background</b> Intramuscular fat (IMF) content and composition have a strong impact on the nutritional and organoleptic properties of porcine meat. The goal of the current work was to compare the patterns of gene expression and the genetic determinism of IMF traits in the porcine <i>gluteus medius </i>(GM) and <i>longissimus dorsi </i>(LD) muscles.
DOI: 10.60893/figshare.apl.26057308.v1
title: Supplemental Material

description: Deatails to structure, Raman experiments and magnetization
DOI: 10.17632/t6gmknc97b
title: Management of Cutaneous Lupus Erythematosus with JAK Inhibitor Therapy: An Evidence-Based Review

description: Cutaneous lupus erythematosus (CLE) is a rare, isolated form of lupus erythematosus localized to the skin. CLE results in a wide variety of dermatologic manifestations. With no FDA-approved treatments for CLE, initial treatment typically involves topical and systemic corticosteroids. The use of Janus kinase inhibitors (JAKi) for CLE remains novel. This systematic review examines the literature and summarizes the effectiveness and safety outcomes of JAKi therapies in treating CLE.
DOI: 10.6084/m9.figshare.11973693.v23
title: Solar wind in situ data for creating catalogs and statistics of interplanetary coronal mass ejections and high speed streams (Solar Orbiter, Parker Solar Probe, STEREO-A/B, MAVEN, Wind, MESSENGER, VEX, Ulysses) 1995-2023

description: These are solar wind in situ data arrays in python pickle format suitable for creating catalogs, plots and movies of interplanetary coronal mass ejections (ICME). They are used to calculate parameters in this ICME catalog:https://helioforecast.space/icmecat<br><br>If you use these data for peer reviewed scientific publications, please get in touch via chris.moestl@outlook.com or twitter @chrisoutofspace concerning usage and possible co-authorship.Made with https://github.com/cmoestl/heliocats
DOI: 10.6084/m9.figshare.13083890.v1
title: Healthy and Disease affected Leaves of Grape Plant

description: This dataset consists of 1600 images of the grape plant in RGB color-space. The images are categorized into four classes Black-measles, Black-rot, Leaf-blight, and Healthy-leaf.<br>
DOI: 10.6084/m9.figshare.1549721.v1
title: Example of use of FRAPO #1

description: Describing fundings, investigations and research outputs.
DOI: 10.6084/m9.figshare.21506097.v1
title: Data_S1.csv

description: Data are provided for peer review.
DOI: 10.6084/m9.figshare.11720289.v3
title: PRISMA-P checklist and flow chart for ‘What are the Outcomes of Core Decompression in Patients with Avascular Necrosis? Protocol for a Systematic Review’.

description: Systematic reviews and meta-analyses (PRISMA) and protocols (PRISMA-P)
DOI: 10.6084/m9.figshare.12072906.v1
title: Research Data on Biogas Plants.xlsx

description: The data are related to the small-scale biogas plants of Bangladesh and have been used to analyze the rationality of investment in small-scale biogas plants by the rural people.
DOI: 10.6084/m9.figshare.12948713.v8
title: A dataset on affiliation of venture capitalists in China between 2000 and 2016

description: This dataset identifies the affiliation of each VC that have invested in China between 2000 and 2006. Specifically, a VC in a given year can be labelled as the following types: GVC (public agency-affiliated and state-owned enterprise-affiliated), CVC (corporate VC), IVC (independent VC), BVC (bank-affiliated VC), FVC (financial/non-bank-affiliated VC), UVC (university endowment/spin-out unit), and PenVC (pension-affiliated VC). The dataset also denotes whether a VC has foreign background. For more information, please contact Dr Jin Chen, University of Nottingham Ningbo China (Email: jin.chen@nottingham.edu.cn).
DOI: 10.6084/m9.figshare.27886755.v1
title: 24_2_24 (control to freeflow)

description: The data consists pf electrical output and data acquisition from irradiance, temperature of PV module
DOI: 10.6084/m9.figshare.9734399.v1
title: 1. DC,coordinate, and water quality parameters in lakes and reservoirs across China

description: This is a .xlsx file. These were measured for most of the stations for lakes and reservoirs across mainland of China during September 2012 to September 2017, including DC, DOC, DIC, TN, TP, et al.
DOI: 10.6084/m9.figshare.11839770.v1
title: Evaluation of bone availability for grafts in different donor sites, through computed tomography

description: Abstract Objective To quantify the bone volume that can be safely withdrawn from 3 donor sites: (1) the mandibular symphysis, (2) the oblique mandibular line and (3) the skullcap. Methodology For the symphysis, 200 tomographic exams were evaluated by the extension of the anterior loop of mental foramen, by the nerve, by the distance of the foramens, by the distance between the vestibular cortical and the lingual plates and by the distance between the apexes, or lower anterior teeth, and the mandibular base, using the “distance” tool of the I-CAT Vision, in the panoramic and parasagittal reformations. For the oblique line, 70 TCFC exams were analyzed retrospectively in panoramic and parasagittal reformations, evaluating the thickness of the vestibular cortical and the distance between the cortical and the mandibular canal. For the cranial bone, a hexagonal donor site located in parietal area was considered. Results The average dimensions of the bone blocks that can be safely removed from the region of the mandibular symphysis are: 32.27 mm in length, 4.87 mm in height and 4 mm in thickness, providing a volume of 628.61 mm3 available for grafting. In the oblique line, the available bone volume for grafting was 859.61 mm3. In the region of the cranial vault, multiplying the average bone thickness by the area of the hexagon, an average volume of 2,499 mm3 was obtained. Conclusions Comparing the donor sites, the bone availability in the cranial vault is 3 times greater than in the mandibular posterior region, and at least 2 times greater than in the mandibular symphysis.
DOI: 10.6084/m9.figshare.27266934.v1
title: UICTX Demo Data

description: This repository contains UI/code-layer data for 10K+ Android apps.
DOI: 10.25376/hra.11717742.v1
title: Healthy Hearts in Heart Transplant Data Final.xlsx

description: Results from baseline, post-intervention, and post-maintenance of a 24-32 week live-video exercise and nutrition intervention for pediatric heart transplant patients.<br>
DOI: 10.6084/m9.figshare.21291726.v1
title: Road network data

description: The road network data of the GBA in 2020
DOI: 10.6084/m9.figshare.22189693.v3
title: Location, vegetation, climate, and soils information from global and paired eddy covariance towers

description: The name, location, pair number (if applicable), and climate, vegetation, and soils information for global paired ("Appendix A_paired") eddy covariance sites and global ("Appendix B_total") eddy covariance sites. "_ds" refers to climate data obtained through global databases. Climate data from databases was obtained from WorldClim 2.1 (Fick and Hijmans, 2017, https://doi.org/10.1002/joc.5086. Soils data were obtained from the top 0-5 cm depths from the SoilGrid 2.0 database (Poggio et al., 2021, https://doi.org/10.5194/soil-7-217-2021). MAT = mean annual temperature. MAP = mean annual precipitation. SRAD = solar radiation. bdod = bulk density. cec = cation exchange capacity. N = soil nitrogen content. pH = soil pH. soc = soil organic carbon content.
DOI: 10.6084/m9.figshare.22292737.v3
title: yak_pangenome

description: We presented the first yak pan-genome obtained through the de novo assembly of 16 yak genomes. A total of 290Mb non-reference sequences and 504 novel genes were identified.
DOI: 10.6084/m9.figshare.26067970.v3
title: Code and data supporting “<i>Threat reduction must be coupled with targeted recovery programmes to conserve global bird diversity</i>”.

description: Code and data supporting “<i>Threat reduction must be coupled with targeted recovery programmes to conserve global bird diversity</i>”.
DOI: 10.6084/m9.figshare.26384776.v5
title: The de novo assembled chromosome-scale genome of cultivated Zizania latifolia

description: The chromosome-scale genome of cultivated Z. latifolia