cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22220488.v1
title: Output files of RepeatModeler2 and RepeatMasker.

description: Output files of RepeatModeler2 and RepeatMasker. The fasta file (new_Acj.fa) and stk (new_Acj.stk) file contains consensus sequences of transposable elements in <em>Apis cerana japinica </em>from RepeatModeler2. The two files, new_Acj.out and new_Acj.tbl, are the result files from RepeatMasker. new_Acj.masked.gz is the genome sequence file of <em>Apis cerana japonica </em>in which repetitive regions and TE sequences are shown in “N” (used input file for gene prediction).
DOI: 10.6084/m9.figshare.24087342.v1
title: Routledge Handbook_Savanna_Appendix1.docx

description: Appendix supplying the methodology and literature used in the literature review of the "Insect conservation in savannas" chapter of the Routledge Handbook of Insect Conservation.
DOI: 10.6084/m9.figshare.28194356.v3
title: Campylobacter jejuni/coli wgMLST scheme.

description: Backup of the BioNumerics Campylobacter jejuni/coli wgMLST scheme.
DOI: 10.6084/m9.figshare.3084649.v2
title: Understanding Financial Market States Using An Artificial Double Auction Market

description: Limit order book data in an Artificial Double Auction Market.
DOI: 10.17632/3mz7ncj9k6
title: Oasis: A high-level/high-performance open source Navier–Stokes solver

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract Oasis is a high-level/high-performance finite element Navier–Stokes solver written from scratch in Python using building blocks from the FEniCS project (fenicsproject.org). The solver is unstructured and targets large-scale applications in complex geometries on massively parallel clusters. Oasis utilizes MPI and interfaces, through FEniCS, to the linear algebra backend PETSc. Oasis advocates a high-level, programmable user interface through the creation of highly flexible Python modules for n... Title of program: Oasis Catalogue Id: AEUW_v1_0 Nature of problem Incompressible, Newtonian fluid flow. Versions of this program held in the CPC repository in Mendeley Data AEUW_v1_0; Oasis; 10.1016/j.cpc.2014.10.026
DOI: 10.17632/7fp47bbzf3
title: Control Defense, Board Structure and Corporate Governance Efficiency under Dual-Class Share Structure——For Chinese Science, Technology, and Innovation-oriented Companies Listed in the United States

description: The data set includes information on the core variables necessary to examine the relationship between control defense, board structure, and corporate governance efficiency. The study sample is primarily composed of Chinese science, technology, and innovation-oriented companies listed in the United States from 2013 to 2022. Furthermore, it empirically investigates the intrinsic path of the founder control defense on the corporate governance efficiency with a panel data model, with board structure as the moderating role under a dual-class share structure. Moreover, it reveals the roles of equity checks and balances and audit tenure in the governance mechanism of science-technology and innovation-oriented listed companies. The paper finds that: (i) The dual-class share structure serves as an effective mechanism to cope with the diversification of shareholders’ interests, stimulating the “interest convergence effect” by giving founders a higher degree of control defense, further improving the corporate governance efficiency. (ii) An expansion in board size may reduce corporate governance efficiency, and CEO duality and an increment in independent directors may enhance corporate governance efficiency. (iii) Board structure plays a moderating role in the impact of control defense on corporate governance efficiency. (iv) Within the framework of a dual-class share structure, the increase of equity checks and balances and the long audit tenure may weaken the corporate governance mechanism.
DOI: 10.17632/cxyzpwv7nc
title: Data for: The relationship between cottage food laws and business outcomes: A quantitative study of cottage food producers in the United States

description: Original survey of 775 cottage food producers across 22 U.S. states, collected in March-April 2017.
DOI: 10.17632/prv6tgkfgr
title: Borderline personality disorder and depression in Bangladeshi University students

description: The dataset is focused on the correlation between Borderline Personality Disorder (BPD) and depression among university students in Bangladesh during the COVID-19 pandemic.
The dataset is cross-sectional, meaning that data was collected at a single point in time.
Data was collected from 1st July 2022 to 30th September 2022 using a self-administered online survey created with Google Forms.
Samples were obtained from both public and private universities throughout Bangladesh.
The survey included questions related to demographic information, BPD symptoms (measured using the MSI-BPD), depression symptoms (measured using the PHQ-9), and the effects of the COVID-19 pandemic on mental health.
The survey was distributed through a variety of channels, including social media platforms, university email lists, and student groups.
DOI: 10.6084/m9.figshare.12081708.v1
title: Diffraction tomography with a deep image prior - raw data

description: This repository contains the raw multi-angle datasets for the experimental results in Figs. 7-10 in our paper, <i>Diffraction tomography with a deep image prior</i> (https://www.osapublishing.org/oe/abstract.cfm?uri=oe-28-9-12872). The 3D reconstruction python/tensorflow code that uses this data is available at https://github.com/kevinczhou/deep-prior-diffraction-tomography.
DOI: 10.6084/m9.figshare.13397528.v1
title: Accelerometry-enhanced Magnetic Sensor for Intra-oral Continuous Jaw Motion Tracking and Bruxism Detection

description: Currently available jaw motion tracking methods require large accessories mounted on a patient and thus are utilized in controlled environments, for short-time examinations only. In some cases, especially in the evaluation of bruxism, a non-restrictive, 24-hour jaw tracking method is needed. Bruxism oriented EMG devices and sensor-enhanced occlusal splints are able to continuously detect masticatory activity, but are uninformative in regard of movement trajectories and kinematics. This study explores a possibility to use a permanent magnet and a 3-axial magnetometer to track mandible’s spatial position in relation to maxilla. An algorithm for determining the sensor’s coordinates from magnetic field values was developed and verified via analytical and finite element modelling and by using a 3D positioning system. Errors due to background magnetic fields (BMF) were estimated and were shown to increase exponentially along magnet–sensor distance. BMF compensation techniques and sensor positioning possibilities were discussed, and BMF compensation by a reference magnetometer was implemented. The trajectory of natural masticatory movement (10 x 7 x 5 mm) was replicated, and coordinates were estimated from sensor data with RMSE of 0.260±0.004 mm. Estimation of the coordinates of cubic (a = 10 mm) trajectory resulted in RMSE of 0.328±0.005 mm. Moreover, by enhancing the method with accelerometry, bruxism events could be detected. By using a one-hinge articulator it was proved, that it is possible to detect impacts of teeth from accelerometer signals. General system test was conducted on a 6 degree-of-freedom (DOF) hexapod-based jaw motion simulator moving at natural speed, confirming system's ability to simultaneously detect jaw position and the impacts of teeth. Despite the limited working range and large uncertainties in the periphery, the method is increasingly accurate and robust when approaching occlusion. Such characteristics should be suitable to develop a wearable system, able to determine jaw trajectories and to detect bruxism. Also, the method could allow visualisation of continuous jaw movement in 3D models and could enable new research of parafunctional jaw activities.
DOI: 10.6084/m9.figshare.1357640.v1
title: 8 data: Timing and spatial distribution of loess in Xinjiang, NW China

description: The data of Figure 8.
Figure 8 Map showing the contours of the &gt;63 μm particle component of topsoil in Xinjiang: (A) the Junggar Basin; (B) the Tarim Basin; and (C) the Ili Basin. Cross symbols represent our sampling sites, dots represent the city/county, and arrows represent the possible wind direction.
DOI: 10.6084/m9.figshare.28989338.v1
title: Supplementary Table 1

description: Supplementary Table 1. Taxon sampling for phylogenomic analysis. Final taxon sampling with its loci recovery. Taxa removed after initial test analyses. Bayesian Information Criterion (BIC) for Maximum Likelihood (ML) analysis. Alignment stats for the different datasets.
DOI: 10.6084/m9.figshare.8050352.v2
title: Data about website accesses and Figshare views and downloads from April 2018 to March 2019

description: This dataset contains three files with descriptive statistics about the accesses done to the OpenCitations website (opencitations.net) and related Figshare resources from April 2018 to March 2019. In particular, the OpenCitations website has been accessed more than 3.1 million times by more than 68,000 unique visitors (identified by their IP addresses), while Figshare documents have obtained more than 20,000 views and 3,000 downloads overall. All these figures do not contains accesses made by automated agents and bots.<br>CSV files:<br>* "accesses.csv" contains all the accesses done to the OpenCitations website, grouped in five different categories – "HTTP_CONT_NEG" (i.e. HTTP content negotiation) indicates the direct accesses to stored resources by means of their HTTP URI, "INTERFACE" indicates the use of Web interfaces for browsing and searching bibliographic and citation data, "API" shows the calls to the various REST APIs, "SPARQL" indicates the calls to the SPARQL endpoints, while "OTHER" lists the accesses to all the other resources;* "countries.csv" contains all the two charater codes (field "country") of each country from which the OpenCitations website has been accessed, accompanied by the related number of accesses (field "accesses");* "figshare_article_month.csv" contains the views (field "views") and downloads (field "downloads") at a specific time (field "month") of all the OpenCitations material stored in Figshare.<br>
DOI: 10.17632/8nzj9y2rhm
title: Measurement of psoriasis affected area with an artificial neural network: Supplementary Material

description: Supplementary Table 1 shows performance comparison with existing methods. Regardless of methodology used, APD showed the best performance. The detailed method is presented with a table.

Supplementary Figure 1 shows the flow chart of dataset configuration. The data were obtained from 149 patients who visited Seoul St. Mary’s Hospital Dermatology Clinic from 2018 to 2020, and mainly consisted of images of each area division used to calculate PASI score (i.e., trunk, upper extremities, lower extremities). Various plaque psoriasis phenotypes (small plaque, large plaque, regressed lesion), non-psoriatic lesion, and artifacts (e.g., accessories, shadows) were included in the dataset. The 35 excluded images were those of a face or out of focus.
To evenly distribute the patient severities in the training and test sets, the data set was first split into three groups (mild, moderate, severe) by PGA. Random sampling was performed in each group in a 4:1 ratio. To evaluate the PASI area score, inappropriate images for use with the palm method were excluded, resulting in 297 images to determine the performance of the three dermatologists.
With respect to input image, APD determines skin area and psoriatic lesion to calculate the percentage of affected area. “Ground truth” was obtained by manually annotating each lesion margin with agreement between three annotator dermatologists. “Skin inference” was the result of detected skin area by the automated psoriasis detector, and “prediction” was the detection of a psoriatic lesion by the automated psoriasis detector. 

Supplementary Figure 2 shows the flowchart of the APD. The Cascade Mask R-CNN with a Swin Transformer small (Swin-S) backbone, the same model used in APD, was used to determine affected skin area with pretrained weights from the COCO dataset. To calculate skin area precisely, the patient needs to be fully unclothed. Few cases were insufficiently unclothed, leading to imprecise PASI area score and inaccurate percentages of psoriasis-affected area. In such cases, an additional skin detection method (skin color-based thresholding) was applied.

Supplementary Figure 3 shows an example of automated psoriasis detector implementation. Using the input image, APD determines skin area and psoriatic lesion to calculate the percentage of affected area. “APD inference” is the process of determining the presence of a psoriatic lesion by APD. “Skin area inference” is the process of detecting skin area by APD. “Skin area cleansing” involves application of an additional skin detection method (skin color-based thresholding) due to artifacts. “Find the lesion ratio” is the calculation of the percentage of psoriasis affected area versus skin area. Ground truth was obtained by manually annotating each lesion margin with agreement between three annotator dermatologists. APD, Automated psoriasis detector.
DOI: 10.6084/m9.figshare.17280119.v1
title: Gossypium sturtianum (C1) genome

description: The reference-grade cotton genome assembly and annotation of Gossypium sturtianum (C1) using Oxford Nanopore sequencing technology.
DOI: 10.6084/m9.figshare.25211423.v1
title: <b>Global projection of terrestrial vertebrate food webs under future climate and land-use changes</b>

description: Data for reproducing the results of the changes of current and future terrestrial vertebrate (mammals, birds, reptiles, and amphibians) food webs.<br>
DOI: 10.6084/m9.figshare.28120541.v4
title: China's National Level Expressions of Public Views Indices on Climate Risk and Government Responses on Climate Risk

description: A dataset on China's climate risk public opinion and government response indices, 2011-2023.
DOI: 10.6084/m9.figshare.28832132.v1
title: Assessment of Learning Summative Test

description: A dataset on summative assessment in a teacher education assessment of learning course
DOI: 10.17632/8ks2vgcmv3
title: data_jobembed

description: Job Embeddedness Profiles: Associations with Supervisor Relations, Job Satisfaction, and Work Engagement
DOI: 10.6084/m9.figshare.24201441.v1
title: How people with an intellectual disability experience inclusive 3rd level education

description: This scoping review adopted the Arksey and O’Malley (2005) framework, which enabled a thorough and systematic search process of the literature to establish the full range and nature of the literature published on the chosen study topic. The framework involved a five-step interactive process: (1) identification of the research question, (2) identification of relevant studies, (3) study choice, (4) charting the data and (5) collating, summarising, and communicating the outcomes. Each step was returned to and advanced during the review.Identifying the research questionHow inclusive 3rd level education is experienced by people with intellectual disability? This question was addressed by identifying the range and extent of international literature reporting the experiences of people with an intellectual disability undertaking a third-level college/university programme.<b>Identifying relevant studies:</b> A systematic search of 5 databases (Scopus, British Education Index, ERIC (EBSCO), Australian Education Index, and SPORTDiscus - EBSCO) relevant to education will be conducted using keyword search strings. Each search/string will utilise Boolean operators OR/AND. Search string 1 will use the keywords.“intellectual disabilit*” OR “mental retardation” OR “learning disabilit*” OR “developmental disabilit*” OR “intellectual and developmental disabilit*”. Search string 2 will use the keywords; “higher education” OR “college” OR “university” OR “post-secondary” OR “postsecondary” OR “3rd level” OR “third level” OR “third-level” . Search string 3 will use the keywords; “inclusi*” OR “participation” OR “involvement” OR “diversity" OR “presence”. <br>Additionally, hand searching of the reference lists (backward chaining) to identify papers that meet the inclusion criteria will be performed as databases may only yield 50% of eligible studies due to indexing and inconsistent search terminology (Whittmore and Knaf, 2005). All papers meeting the Inclusion criteria will be included in this review.<br>The inclusion criteria are as follows:<br>• People with intellectual disability engaging in 3rd-level education<br>• Programme on-campus experience<br>• The experience of people with intellectual disability<br>• Primary evidence<br>• Peer reviewed.<br>• Dates 2002 to 2023<br>• English language<br>
DOI: 10.6084/m9.figshare.25670763.v1
title: Analysis of bird migration using eBird data

description: Analysis of bird migration using eBird data
DOI: 10.6084/m9.figshare.27423693.v1
title: <b>eNSMBL-PASD: Spearheading Early Autism Spectrum Disorder Detection through Advanced Genomic Computational Frameworks Utilizing Ensemble Learning Models</b>

description: <b>Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition influenced by various genetic and environmental factors. Currently, there is no definitive clinical test, such as a blood analysis or brain scan, for early diagnosis. The objective of this study is to develop a computational model that predicts ASD driver genes in the early stages using genomic data, aiming to enhance early diagnosis and intervention.</b>
DOI: 10.17632/sbxr7xxvnd
title: Pore sizes, porosity, and surface area of TPMS-based scaffold

description: This dataset enabled the researchers to design the tissue engineering scaffold computationally with a specific porosity and pore size by choosing the scaffold pattern (TPMS, or the customized implicit function), ω, and t. The TPMS-based scaffolds were generated from the marching cube algorithm (https://github.com/nodtem66/Scaffolder). The pore sizes (minimum Feret diameter and maximum Feret diameter), porosity (1 -scaffold volume / original volume), and surface area were acquired by the slice contour technique and geometric algorithm. The two parameters: angular frequency (ω) and iso-level (t), were introduce to customize the TPMS functions. Data for: https://doi.org/10.1016/j.cmpb.2021.106088 Program source code: https://github.com/nodtem66/Scaffolder
DOI: 10.6084/m9.figshare.25965292.v1
title: Germline missense MSH2 VUS - 1

description: Molecular dynamics simulation of the VUS based on the ClinVar database, the simulation is up to 100 ns.
DOI: 10.17632/jrss9jdjz9
title: Synthetic oversampling for credit card default prediction

description: This dataset contains more than 17000 data of credit card holder with 20 predictor variables and 1 binary target variable. The corresponding R code for comparing several proposed (density-based) and existing synthetic oversampling methods (SMOTE-based) is also provided.
DOI: 10.17632/r3rmjyhchz
title: Supplementary dataset: Effects of Carboxymethyl cellulose concentration on mechanical, viscoelastic properties, and thermal properties of starch/plant fiber foaming tableware materials with foam structure

description: This dataset is supplementary materials to Effects of Carboxymethyl cellulose concentration on mechanical, viscoelastic properties, and thermal properties of starch/plant fiber foaming tableware materials with foam structure, which includes supplementary material and original experimental data. In this study, a novel bio-based composite of starch/plant fiber foaming tableware materials and carboxymethyl cellulose (CMC) was prepared by the hot-pressing foaming method. The influence of the content of CMC as a new type of film-forming agent filler on the properties of foam materials was systematically investigated. The results showed that the foam material with 10 wt% CMC had excellent cell morphology and uniform cell size (the average cell size reached the minimum value of 465.7 μm), relatively high porosity (57.01%), and excellent thermal insulation properties (thermal conductivity: 0.0541 W/m·K). The tensile strength of foam increased from 4.289 MPa for 0 wt% CMC to 5.714 MPa for 10 wt% CMC loading. Similarly, the flexural strength also increased from 11.609 MPa to 15.719 MPa for the foam material with 10 wt% CMC. The thermal stability and viscoelastic properties of the foam material reached the highest after adding 10wt% CMC. In addition, the increase of CMC content is beneficial to improve the oil resistance and biodegradability of the material. The research shows that CMC is an effective filler to improve the properties of starch/plant fiber foaming tableware materials, which can greatly promote the development of bio-based polymer foam materials.
DOI: 10.18742/21757232.v1
title: Parent-reported child’s close contact with non-household family members and their well-being during the COVID-19 pandemic: a cross-sectional survey

description: Supporting information for the published article with the same title.Text S.1 = Full survey materials. A Word document listing all the questions asked in the survey that corresponds to the data set.Data S.2 = SPSS data file. The original data file: Variables (267); participants (n=2010). Participants are parents who lived in England and had a school-aged child.
DOI: 10.6084/m9.figshare.22203514.v3
title: Association of postprandial post-exercise muscle protein synthesis rates with dietary leucine: a systematic review -Supplementary information

description: <strong>Association of postprandial post-exercise muscle protein synthesis rates with dietary leucine: a systematic review</strong> <br> <strong>Supplementary Information 1- </strong> Predetermined relevant outcome variables from each study were extracted in relation to study characteristation and outcomes measures <br> <strong>PRISMA checklist</strong> <br> <strong>Supplementary Figure 1</strong>- Delta change (postprandial post-exercise increase) in muscle protein synthesis rates (MPS), expressed as fractional synthetic rate (FSR), in response to protein dose in all participants (77 study arms) <strong>(A), </strong>young participants (45 study arms; 19-29 years) (<strong>B</strong>) and older participants (32 study arms; 57-74years) (<strong>C</strong>). Data were analysed by linear regression; coefficient of determination (r2), <em>P </em>value and y- intercept (b0) are presented
DOI: 10.6084/m9.figshare.24976590.v2
title: Exploring Strategies for Guiding Symbolic Analysis with Machine Learning Prediction

description: To improve the scalability of symbolic analysis tools, one observation is that analysis resources are wasted on analyzing unsatisfiable paths, which are not possible in reality. While existing works attempt to predict the satisfiability of a program path without spending resources to analyze it, the performance of these predictor models are far from perfect. In this work, we attempt to understand how model predictions, even if imperfect, can be most effectively used to reduce the time required to analyze satisfiable paths. This work studies the sometimes complex interactions between model performance, analysis domain properties such as the distribution of path analysis costs and distribution of satisfiable paths, the design of symbolic analysis tools being used, and the algorithm used to prioritize and select paths for analysis. Using a novel simulation methodology, we study this problem and find that a number of factors can have as large an effect on symbolic analysis performance as improved predictors. Finally, we conclude with a couple of observations about how to best integrate machine learning prediction into symbolic analysis.
DOI: 10.6084/m9.figshare.3395983.v2
title: Analysis of ice hockey player's height dynamics: IIHF world championships 2001-2016

description: This is an R script that reproduces the analysis of ice hockey player's height dynamics based on the collected open data from IIHF world championships 2001-2016.<br>