cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29126876.v2
title: Differential Methylation Analysis Using Multi-Factor Design in BS-seq Data

description: This R script performs differential methylation analysis on bisulfite sequencing (BS-seq) data using a multi-factor experimental design. It leverages the <b>DSS</b> package to model methylation levels across multiple timepoints and biological conditions (e.g., control vs. diapause). The script identifies both differentially methylated loci (DMLs) and regions (DMRs), and supports statistical testing of main effects and interactions.The analysis is based on a <code>BSseq</code> object previously constructed from DSS-formatted files (e.g., via <code>makeobject.r</code>).<b>Process Overview:</b>Loads a pre-saved R environment (<code>Loaded_Dataframe.RData</code>) containing the <code>BSobj</code>.Defines a two-factor experimental design (timepoint × condition).Fits a multi-factor model using <code>DMLfit.multiFactor()</code>.Conducts hypothesis tests for condition, timepoint, and interaction effects.Calls significant DMRs and DMLs based on p-value and FDR thresholds.Outputs result tables to disk for further analysis or visualization.<b>Inputs:</b><code>Loaded_Dataframe.RData</code> containing a <code>BSseq</code> object (<code>BSobj</code>).Sample metadata encoded directly in the script:<code>timepoint</code>: e.g., Day6, Day12, ..., Day30<code>condition</code>: e.g., control, diapause<b>Outputs:</b><code>dmls.condition.txt</code>: DMLs by condition<code>dmls.timepoint.txt</code>: DMLs by timepoint<code>dmls.txt</code>: DMLs by interactionOptional output: top-ranked CpGs and DMR regions for each test<b>Software Requirements:</b>R (≥ 4.0)Packages: <code>DSS</code>, <code>bsseq</code><b>Usage Notes:</b>The design matrix assumes 40 samples with balanced replicates across timepoints and conditions. Adjust <code>timepoint</code> and <code>condition</code> vectors if your dataset differs.Adjust thresholds and coefficients in <code>DMLtest.multiFactor()</code> and <code>callDMR()</code> as needed for your specific biological questions.Ensure <code>BSobj</code> is correctly matched to sample names used in the experimental design.
DOI: 10.6084/m9.figshare.3522581.v1
title: Appendix A. Adult stature, light-demand, and architecture of 53 rain forest tree species.

description: Adult stature, light-demand, and architecture of 53 rain forest tree species.
DOI: 10.17632/r49ybxt5j4
title: Global social media censorship

description: This dataset contains 360 major social media censorship incidents from 2006 to 2023 across 76 countries. Each incident includes the country of censorship, the censoring year, the country's political system, the platforms censored, and reasons for censorship. The censored platforms included in this dataset are Facebook, YouTube, WhatsApp, Instagram, TikTok, Telegram, Twitter, and Reddit. With pre-determined keywords, we searched the internet for pertinent data on censorship incidents, including scouring news sites (e.g., The New York Times), blogs (Google Blogoscoped), reports (e.g., Freedom House), Wikis for mentions, listings, and descriptions of censorship incidents, and internet monitoring watchdogs like Netblocks.
DOI: 10.6084/m9.figshare.22692505.v1
title: Taxonomic vs genomic fungi

description: Supplementary files for Taxonomic vs genomic fungi: contrasting evolutionary loss of ancestral genomic heritage and punctuated emergence of fungal novelties Zsolt Merényi Krisztina Krizsán Neha Sahu Xiao-Bin Liu Balázs Bálint Jason Stajich Joseph W. Spatafora László G. Nagy
DOI: 10.6084/m9.figshare.25264894.v1
title: Cupressus gigantea genome annotation

description: Gff3 file of high-confidence genes in Cupressus gigantea
DOI: 10.6084/m9.figshare.28543955.v1
title: Dataset (goniometry, algometr, vas)

description: Goniometry of lumbar spine (anterior flexion, posterior flexion, right-side flexion, left-side flexion, right rotation, left rotation), Algometr (pressure pain treshold), VAS (VAS1, VAS2, VAS3).
DOI: 10.6084/m9.figshare.7387130.v6
title: Generic Object Decoding

description: Here we provide preprocessed fMRI data and image features from Horikawa & Kamitani (2017) Generic decoding of seen and imagined objects using hierarchical visual features. Nat Commun.<br><br>Raw (unpreprocessed) fMRI data are available at OpenNeuro.<br><br>Analysis demo code is available at GitHub.<br><br>History:<br><br>2020-10-16 fMRI data preprocessed with fmriprep were updated (Subject*_ImageNetTraining.h5, Subject*_ImageNetTest.h5, and Subject*_Imagery.h5).<br>2020-07-27 'category_index' and 'image_index' in fMRI data files (Subject*.h5) were fixed.<br><br>2019-05-08 fMRI data mat files were replaced with h5 files.<br><br>
DOI: 10.6084/m9.figshare.22242253.v1
title: 2025-2060中国年龄结构预测结果（省级） 2025-2060 China Age Structure Projection Results (Provincial)

description: 此数据集为2025-2060中国省级年龄结构预测结果，格式为xlsx。 This dataset is the results of the 2025-2060 China provincial age structure projections in xlsx format. <br> 当目前人类活动已经成为全球环境变化的主要驱动力。作为世界上人口最多的国家，中国应当在世界的可持续发展与气候变化领域做出更多的贡献。2020年9月22日，国家主席习近平提出了中国的“双碳发展目标”，为中国未来的发展指明了方向。城市是人类生产生活最为集中的区域，中国的城市能源消耗占据了全国能源消耗的85%，因此我们认为中国的低碳转型关键在于城市。进一步，城市的发展关键在于人口的变化，不同年龄结构，不同社会背景的人有着不同的城市管理服务与能源利用的需求，进而影响着未来的城市管理和城市建设。中国正处于城镇化的下半场，在人口老龄化背景下不同区域的人口结构将发生重大变化，如何对未来的人口结构进行判定，进而对未来的社会需求做出判断，以实现未来中国的低碳发展，是非常值得探索的议题。在这样的背景下，能源基金会资助清华大学建筑学院龙瀛团队与中国人民大学环境学院王克团队，针对上述问题开展深入分析。在前期项目中，龙瀛团队基于全球空间人口网格数据和中国政府统计数据，对中国的未来人口分布进行了情景预测。但是人口分布的预测，缺乏人口结构的相关信息，因此不能更精确更量化地判断不同人的需求。 因此在本项目中，项目组希望进一步地完善人口结构方面的预测，同现有人口分布数据相匹配，进而为碳排放、环境治理等研究方向提供更精确更细致的数据支持。 Human activities have now become a major driver of global environmental change. As the world's most populous country, China should make more contributions to the world's sustainable development and climate change. On September 22, 2020, President Xi Jinping proposed China's "Two Carbon Development Goals", which will set the direction for China's future development. Cities are the most concentrated areas of human production and life, so we believe that the key to China's low-carbon transition lies in cities. Further, cities are for people, so human needs determine the energy consumption of the city. People of different age structures and social backgrounds have different needs for urban management services and energy use, which in turn affects future urban management and urban construction. It is worthwhile to explore how to determine the future demographic structure and then make a judgment on the future social needs to realize the future low-carbon development of China. <br>
DOI: 10.6084/m9.figshare.28529090.v1
title: Raw data for "Recording a time-lapse of flower blooming on your windowsill. Botanical collections in the YouTube era"

description: <b>TimeLapse Youtube search (Figshare).xlsx:</b> Dataset collected from flower-blooming time-lapse videos on YouTube<b>Time-lapse videos of flower blooming for botanical collection (High resolution; Figshare).mp4: </b>Samples of time-lapse videos for botanical collection for <i>Hibiscus syriacus</i>, <i>Calystegia sepium</i>, <i>Ipomoea hederacea</i>, <i>Oenothera biennis</i>, <i>Albizia julibrissin</i>, <i>Erigeron annuus</i>, <i>Spiranthes sinensis</i>, <i>Wisteria floribunda</i>, <i>Chelidonium majus</i> subsp. <i>asiaticum</i>.
DOI: 10.17632/p8swmtr65s
title: CPMC-Lab: A Matlab package for Constrained Path Monte Carlo calculations

description: Abstract We describe CPMC-Lab, a Matlab program for the constrained-path and phaseless auxiliary-field Monte Carlo methods. These methods have allowed applications ranging from the study of strongly correlated models, such as the Hubbard model, to ab initio calculations in molecules and solids. The present package implements the full ground-state constrained-path Monte Carlo (CPMC) method in Matlab with a graphical interface, using the Hubbard model as an example. The package can perform calculations ... Title of program: CPMC-Lab Catalogue Id: AEUD_v1_0 Nature of problem Obtaining ground state energy of a repulsive Hubbard model in a supercell in any number of dimensions. Versions of this program held in the CPC repository in Mendeley Data AEUD_v1_0; CPMC-Lab; 10.1016/j.cpc.2014.08.003 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.6084/m9.figshare.14672481.v1
title: Supplementary Material for: Performance versus Risk Factor-Based Approaches to Coronary Artery Disease Screening in Waitlisted Kidney Transplant Candidates

description: <b><i>Introduction:</i></b> Current screening algorithms for coronary artery disease (CAD) before kidney transplantation result in many tests but few interventions. <b><i>Objective:</i></b> The aim of this study was to study the utility of 6-minute walk test (6MWT), an office-based test of cardiorespiratory fitness, for risk stratification in this setting. <b><i>Methods:</i></b> We enrolled 360 patients who are near the top of the kidney transplant waitlist at our institution. All patients underwent CAD evaluation irrespective of 6MWT results. We examined the association between 6MWT and time to CAD-related events (defined as cardiac death, revascularization, nonfatal myocardial infarction, and removal from the waitlist for CAD), treating noncardiac death and waitlist removal for non-CAD reasons as competing events. <b><i>Results:</i></b> The 6MWT-based approach designated approximately 45% of patients as “low risk,” whereas a risk factor- or symptom-based approach designated 14 and 81% of patients as “low risk,” respectively. The 6MWT-based approach was not significantly associated with CAD-related events within 1 year (subproportional hazard ratio [sHR] 1.00 [0.90–1.11] per 50 m) but was significantly associated with competing events (sHR 0.70 [0.66–0.75] per 50 m). In a companion analysis, removing waitlist status from consideration, 6MWT result was associated with the development of CAD-related events (sHR 0.92 [0.84–1.00] per 50 m). <b><i>Conclusions:</i></b> The 6MWT designates fewer patients as high risk and in need of further testing (compared to risk factor-based approaches), but its utility as a pure CAD risk stratification tool is modulated by the background waitlist removal rate. CAD screening before kidney transplant should be tailored according to a patient’s actual chance of receiving a transplant.
DOI: 10.6084/m9.figshare.29094299.v1
title: AI Influence in the Educational Environment

description: <b>Overview</b><br>This dataset contains anonymised responses (N = 44) from a November 2024 pilot survey that explored artificial-intelligence (AI) adoption among graduate students and young professionals (“young leaders”) in Uzbekistan and neighbouring Central-Asian countries.<b>Purpose</b><br>The survey tested constructs later used in the main study on behavioural intention to adopt AI-enabled data-analytics tools for managerial decision making. Key variables include AI familiarity, usage frequency, comfort level, perceived efficiency gains, and concerns about transparency or bias.<b>Method</b><br>Data were collected online via Google Forms; participation was voluntary and fully anonymous. The CSV file contains Likert-scale and categorical responses, with a separate README describing each variable and coding scheme.<b>Potential reuse</b><br>Researchers can replicate or extend technology-acceptance models in emerging-economy contexts, compare student versus professional cohorts, or conduct secondary analyses on AI self-efficacy and algorithmic trust.<b>File list</b><br>• <code>ai_pilot_radman2024.csv</code> – raw responses<br>• <code>README.md</code> – variable descriptions, survey instrument, codebookLicensed under <b>CC BY 4.0</b>.
DOI: 10.17608/k6.auckland.25744506.v1
title: HVN PANaMAH RUTIN Metadata Record - Effect of rutin on insulin secretion in prediabetes

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future.<b>Description:</b> This trial investigated the efficacy of 500 mg rutin, in a double blind randomised 3-arm placebo controlled parallel study over 6 months in male and female participants with demonstrated prediabetes (fasting plasma glucose: = 5.6-6.9mmol/L). Each participant consumed once daily either: yogurt control + capsule control OR yogurt with 500 mg rutin + capsule control OR capsule 500 mg rutin + yogurt control, as part of their breakfast meal or as a later snack.
DOI: 10.6084/m9.figshare.19376033.v2
title: Does Large-scale Crustal Flow Shape the Eastern Margin of the Tibetan Plateau? Insights From Episodic Magmatism of Gongga-Zheduo Granitic Massif

description: This dataset contains analytical results of whole-rock major and trace elements, zircon U-Pb-Hf-O isotopic data, plagioclase Sr isotopic data, apatite Nd isotopic data, thermodynamic and trace element modeling parameters and results, and summarized formation ages in eastern Tibet.
DOI: 10.6084/m9.figshare.23643555.v3
title: Movie Clip Dataset: A New Dataset for Generalised Real-World Violence Detection

description: A dataset with violent and non-violent scenes was collected from movies.
DOI: 10.6084/m9.figshare.28190198.v1
title: <b>SAFE-Net-Dataset</b>

description: <b>Dataset Description for SAFE-Net-Dataset</b><b>1. Introduction</b>This dataset was created as part of the research titled <i>"</i> <i>SAFE-Net: Multi-Head Attention Enhanced Framework for Defect Detection in Anti-Corrosion Coatings on Steel Structures"</i>. It focuses on detecting defects commonly found in steel structure coatings, including <b>corrosion, cracks, flaking, and blistering</b>. The goal of this dataset is to facilitate research in computer vision for defect detection, specifically for high-resolution image segmentation and object detection tasks.<b>2. Dataset Overview</b><b>Name</b>: <b>SAFE-Net-Dataset</b><b>Version</b>: 1.0<b>Number of Images</b>: 8,193 images.<b>Defects Categories</b>:Class 0: CorrosionClass 1: CrackClass 2: FlakingClass 3: Blistering<b>Data Formats</b>:<b>Images</b>: RGB images in .jpg format.<b>Annotations</b>: Provided in .txt format, where each .txt file corresponds to an image and contains information about the bounding boxes for all objects in that image.<b>3. Methodology</b><b>3.1. Data Collection</b>The images were collected from industrial steel structures under real-world conditions. Images were captured using high-resolution cameras to ensure fine detail resolution of small defects like microcracks.<b>3.2. Data Annotation</b>Annotation tools used include <b>Labelimg</b> for bounding boxes. Then, the XML file that has been obtained is to be converted into TXT format.<b>4. Citation</b>If you use this dataset, please cite the following paper:<i>[Paper Title:</i> <i>SAFE-Net: Multi-Head Attention Enhanced Framework for Defect Detection in Anti-Corrosion Coatings on Steel Structures]</i><br>Authors: [Yue Yu, Shouchao Jiang, Yijun Wang, Shaojun Zhu*]<b>5. License</b>This dataset is released under the <b>GPL</b><b> </b>license. Users are free to use, modify, and distribute the dataset, provided that appropriate credit is given to the original authors.For questions or issues, please contact 2232332@tongji.edu.cn.<br>
DOI: 10.6084/m9.figshare.7770944.v1
title: Supplementary Material for: Genetic Knowledge within a National Australian Sample: Comparisons with Other Diverse Populations

description: <b><i>Background:</i></b> Genetic knowledge, which plays important functions in our understanding of science, health, social groupings, and even behaviour, has been evaluated in past studies with various populations. This wide reach of genetics means that different types of items are used to assess genetic knowledge, which restricts meaningful comparisons across time- and locale-based studies. <b><i>Aim:</i></b> The present study addresses this limitation by recruiting an Australia-wide sample and evaluating their genetic knowledge using items sourced from four diverse samples. <b><i>Method:</i></b> Seven hundred and eighty Australians completed a variety of items assessing their genetic knowledge as well as several demographic indicators. <b><i>Results:</i></b> The results show superior overall genetic knowledge in the current sample compared with previous samples. Additionally, the study finds that genetic knowledge about health and illness seems to be the most accurate, whereas such knowledge about social categorisations and behaviours seems to be the most error-prone. In the current sample, being a female and having interest in genetics were positive predictors of genetic knowledge; surprisingly educational attainment was not a significant predictor. <b><i>Conclusion:</i></b> Compared with previous surveys, the current sample showed significantly better genetic knowledge. However, certain areas that relate to public understating still indicate rampant misperceptions.
DOI: 10.6084/m9.figshare.11370696.v1
title: SVM from Compressor performance modelling method based on support vector machine nonlinear regression algorithm

description: To overcome the difficulty of having only part of compressor characteristic maps including on-design operating point, and accurately calculate compressor thermodynamic performance under variable working conditions, this paper proposes a novel compressor performance modelling method based on support vector machine nonlinear regression algorithm. It is compared with the other three neural network algorithms (i.e. BP, RBF and Elman neural networks) from the perspective of interpolation and extrapolation accuracy as well as calculation time, to prove the validity of the proposed method. Application analyses indicate that the proposed method has better interpolation and extrapolation performance than the other three neural networks. In terms of flow characteristic map representation, the root mean square error (RMSE) of the extrapolation performance at higher and lower speed operating area by the proposed method is 0.89% and 2.57%, respectively. And the total RMSE by the proposed method is 2.72%, which is more accurate by 47% than the Elman algorithm. For efficiency characteristic map representation, the RMSE of the extrapolation performance at higher and lower speed operating area by the proposed method is 2.85% and 1.22%, respectively. And the total RMSE by the proposed method is 1.81%, which is more accurate by 35% than the BP algorithm. Moreover, the proposed method has better real-time performance compared with the other three neural network algorithms.
DOI: 10.6084/m9.figshare.25569426.v1
title: nRC

description: sequence classification for RNAErnie
DOI: 10.6084/m9.figshare.28428920.v1
title: Supplementary Material for: Limb salvage by repetitive radical surgery in recurrently spreading myxofibrosarcoma – Case report and literature review

description: Introduction: We report the case of a 70-year-old athletic female who was advised to undergo leg amputation following an R1 resection at another institution. Due to the patient's insistence on limb preservation, she underwent 17 resections for recurrent tumors in the proximal lower leg and distal thigh, accompanied by reconstruction with two free flaps and adjuvant radiotherapy. Histopathological analysis revealed a widespread, recurrent, cell-poor myxofibrosarcoma with prominent vascular architecture, measuring 6 x 3.5 x 2 cm, and staged as cT2 N0 M0, G2.
Case Presentation: After 17 resections targeting the periphery of previously excised lesions, combined with soft tissue reconstruction and 60 gray (Gy) irradiation, the patient has remained recurrence-free for over 10 years. At 80 years old, she continues to lead an active lifestyle, regularly engaging in sports. This outcome partly contrasts with our systematic literature review, which found a recurrence rate of up to 60% for aggressive surgical strategies in myxofibrosarcoma of the extremities, often requiring multiple surgeries, including amputations. 
Conclusion. Recurrent myxofibrosarcoma should be treated with radical surgical intervention, even in cases of multiple recurrences beyond the original tumor site. By employing free flap reconstruction combined with irradiation, limb preservation can be facilitated, offering patients the potential to maintain functionality and quality of life.
DOI: 10.6084/m9.figshare.28796798.v3
title: The role of Kat6a in regulating primordial follicle activation in mouse ovary

description: Supplementary Table 1 and Table 2 The list of antibodies and primers
DOI: 10.6084/m9.figshare.5120617.v1
title: Supplementary Material for: Pivotal Role of Bedside Doppler Echocardiography in the Assessment of Patients with Acute Heart Failure and Mitral Regurgitation

description: Patients presenting with mitral regurgitation and acute heart failure remain a challenge for the clinicians. Bedside echocardiography ascertains the functional or primary nature of mitral regurgitation, thereby allowing to focus therapy on the left ventricle and mitral valve apparatus in patients with functional mitral regurgitation and to hasten mitral valve repair or replacement when acute heart failure results from primary mitral regurgitation. This short article reviews the evaluation by bedside echocardiography to guide management of these patients.
DOI: 10.6084/m9.figshare.25403680.v2
title: Supporting Data for manuscript entitled "sAMP-VGG16: Force-field assisted image-based deep neural network prediction model for short antimicrobial peptides"

description: During the last three decades, antimicrobial peptides (AMPs) have emerged as a promising therapeutic alternative to antibiotics. The approaches for designing AMPs span from experimental trial-and-error methods to synthetic hybrid peptide libraries. To overcome the exceedingly expensive and time-consuming process of designing effective AMPs, many computational and machine-learning tools for AMP prediction have been recently developed. In general, to encode the peptide sequences, featurization relies on approaches based on (a) amino acid composition, (b) physicochemical properties, (c) sequence similarity, and (d) structural properties. In this work, we present an image-based deep neural network model to predict AMPs, where we are using feature encoding based on Drude polarizable force-field atom types, which can capture the peptide properties more efficiently compared to conventional feature vectors. The proposed prediction model identifies AMPs with promising accuracy and efficiency and can be used as a next-generation screening method for predicting new AMPs.
DOI: 10.6084/m9.figshare.27328740.v2
title: Optimization of echinococcosis control measures

description: This study aimed to provide strategies to optimize the prevention and control measures of echinococcosis in Gansu Province. Based on the transmission mechanism of echinococcosis, a System Dynamics (SD) model of echinococcosis in Gansu Province was established using Vensim software.
DOI: 10.6084/m9.figshare.3552702.v1
title: Supplement 1. Example R code illustrating the calculation of diversity profiles.

description: File List DiversityProfileExample.r (md5: e3f0737ddb6e0342213d9c8d74751f85)<br> DeVriesAbundanceData.csv (md5: ee05019a200a451c06dc7144b9241498)<br> DeVriesSimilarityMatrix.csv (md5: f8768e30cf1abcbe9f539076ea816c41) Description DiversityProfileExample.r contains code to reproduce Example 3 from the paper, which uses Butterfly data from DeVries et al (1997).<br> <br> DeVriesAbundanceData.csv contains abundance data for Example 3.<br> <br> DeVriesSimilarityMatrix.csv contains a similarity matrix for Example 3. <br>