cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rv2w3dv9rs
title: Pharmacogenomic profiling of intra-tumor heterogeneity by a large organoid biobank of liver cancer

description: Inter- and intra-tumor heterogeneity is a major hurdle in primary liver cancer (PLC) precision therapy. Here, we established a PLC biobank, consisting of 399 organoids derived from 144 patients, which recapitulated histopathology and genomic landscape of parental tumors, and were reliable for drug sensitivity screening, evidenced by both in vivo models and patient response. Integrative analysis dissected PLC heterogeneity, regarding genomic, transcriptomic characteristics and sensitivity to seven clinically-relevant drugs, as well as clinical associations. Pharmacogenomic analysis identified and validated multi-gene expression signatures predicting drug response for better patient stratification. Furthermore, c-Jun was revealed as a major mediator to Lenvatinib resistance, through JNK and β-catenin signaling. A new compound (PKUF-01) comprising moieties of Lenvatinib and Veratramine (c-Jun inhibitor) was synthesized and screened, exhibiting a marked synergistic effect. Together, our study characterized the landscape of PLC heterogeneity, developed predictive biomarker panels, and revealed a novel Lenvatinib resistant mechanism for combinatory therapy.
DOI: 10.6084/m9.figshare.24806457.v1
title: Dataset of "Mate choice for size in a marine snail: disentangling demographic and individual contributions"

description: Variables in the dataset:Session: Session (i.e., day) of the experiment (from 1 to 5).Trial: Trials in each session of the experiment. 1="before lunch", 2="after lunch".Treatment: Treatments devised for the experiment. 1="same females", 2="different females".Individual: Number assigned to each male individual used in each mating ball.Size_Male: Size ("shell length" in mm) of the individual male snail used in each ball.Male_Size_Class: Size classes of each of the male individual snails used. 1="S<sub>B</sub>", 2="S<sub>C</sub>", 3="S<sub>D</sub>".Size_Fem: Size ("shell length" in mm) of each of the five female snails used in each ball.Fem_Size_Class: Size classes of each of the female individual snails used. 1="S<sub>A</sub>", 2="S<sub>B</sub>", 3="S<sub>C</sub>", 4="S<sub>D</sub>", 5="S<sub>E</sub>".Mating: Whether there was a mating or not between the male in each ball and one of the five females. 0="No mating", 1="Mating".Repeatability: Measure of repeatability for the mating preference.<br><br>
DOI: 10.6084/m9.figshare.28447277.v1
title: Banco de dados do survey sobre saúde digital na APS em um município brasileiro.Survey database on digital health in PHC in a Brazilian municipality.

description: Banco de dados gerado no estudo sobre saúde digital na Atenção Primária à Saúde, realizado por uma equipe de pesquisa brasileira. Os dados são anônimos e não contêm informações identificáveis dos respondentes.Database generated in the study on digital health in Primary Health Care, carried out by a Brazilian research team. The data is anonymous and does not contain identifiable information about the respondents.
DOI: 10.17632/6znc3wmk6m
title: Data for: Evaluation of different DTMs in the sediment connectivity determination in the Mascarada River Watershed, southern Brazil
DOI: 10.17632/78nwspx9ph
title: Data on climate migration

description: Data were collected from December 2019 to February 2020 through a survey directed at one household representative. Respondents were asked to provide information about the demography, socio-economy, and post-cyclonic migration situations.
DOI: 10.17632/rs5kvnr86r
title: RadLib: A radiative property model library for CFD

description: RadLib is a C++ library of radiation property models that can be applied to variety of systems involving radiative heat transfer, including CFD simulations. RadLib includes three major radiation property models—Planck Mean (PM) absorption coefficients, the weighted sum of gray gases (WSGG) model, and the rank-correlation spectral line weighted-sum-of-gray-gases (RCSLW) model. RadLib includes C++, Python, and Fortran interfaces and can be expanded to include additional models. Several example cases illustrate use of the models with an included ray-tracing solver, compare their accuracy relative to line-by-line (LBL) solutions, and examine their computational costs. Additionally, an integrated CFD example of an ethylene burner configuration using Fire Dynamics Simulator (FDS) is provided. RadLib provides researchers with convenient access to validated radiation property models and a framework for further development.
DOI: 10.17632/nfnv2b5s4m
title: IP2RG-PAVEMENT-TYPE-DATASET

description: The pavement image dataset used in this study was collected using the LUKUN3D intelligent vehicle, a 3D triangulation system developed by the IP2RG research group. The system captures both 2D intensity images and elevation data with a resolution of 1600 × 1000 pixels. Each image represents a pavement section approximately 2.98 meters wide and 3.3 meters long. The dataset includes samples from asphalt and concrete pavements across multiple provinces, covering diverse environmental and traffic conditions. Example images highlight clear differences in surface texture between asphalt and concrete.
The dataset is currently used for pavement type classification, as detailed in the paper Automated Image-level Pavement Type Recognition on Cross-regional Data Using a Multi-feature Fusion Network. The IP2RG team plans to release updated versions of the dataset, with a particular focus on reducing noise in asphalt pavement samples.
DOI: 10.17632/vm3y9gfvcg
title: Data for: Purchasing medical devices: the role of buyers' competence and discretion

description: Data of the paper: Purchasing Medical Devices: The Role of Buyer Competence and Discretion. The main file (it calls all the other codes) is MASTER.do. The dataset is \raw\devices.dta. Data has been anonymized.
DOI: 10.17632/c8y6z9cnjb
title: Systemic Bone Density and Clinical Oral Health Status in Menopause Women

description: ABSTRACT Reduced bone mineral density (BMD) is the diagnostic feature of osteoporosis and osteopenia leading to skeletal fragility and fracture. Periodontal diseases are characterized by inflammation within the supporting periodontal tissues. The response of periodontal tissues to local bacterial challenge results in bone resorption and loss of periodontal attachment. The periodontal manifestations in menopause include alveolar bone resorption, clinical attachment loss and tooth loss. Reduced BMD due to the estrogen deficiency represents a variety of conditions in relation to the stability of the structure of the jawbones. Alveolar processes provide the bony framework for teeth support. The loss of systemic bone density in osteoporosis can be a negative consequence on tooth stability. In spite of these findings, low bone mineral density may cause alteration in the mineral content of the alveolar bone and thus can predispose to the progression of periodontal disease, tooth loss and impair the oral health status. Objective: To evaluate the clinical oral health status of menopause women patient with reduced bone mineral density. Materials and Methods: Twenty-seven women were undergone the following tests; BMD of heels were measured by using ultrasound bone densitometer. Oral health status and periodontal health were examined. Orthopantomogram (OPG), blood calcium and alkaline phosphatase level were tested. BMD of lumbar spine L1 to L4 were measured by dual-energy X-ray absorptiometry (DXA). Women under age of 35, subjects receiving long term calcium supplements, systemic steroids and hormonal replacement therapy, subjects with history of parathyroid disease, metabolic bone disease and malignancy and subjects who used tobacco in smoked or smokeless form were excluded from the study. Result: The BMD of lumbar spines were significantly lower in the study group than the controls. Osteopenia was observed in 22% whereas osteoporosis was observed in 55% of cases in study group. Presence of pockets was found significantly in reduced BMD group compared to normal BMD. (p value &lt; 0.05) Conclusion: Increased proportion of osteopenia and osteoporosis in pre and post-menopausal women with periodontitis suggests that there will be strong association between reduced BMD and periodontitis.
DOI: 10.17632/npjwhhndzn
title: ASSOCIATION OF ANTHROPOMETRIC MEASURES WITH FATIGUE AMONG WOMEN WITH POLYCYSTIC OVARIAN SYNDROME

description: While understanding PCOS remains essential, fatigue often receives insufficient attention despite its significant impact on women lives. Previous research in this area has been limited. This study aims to fill an important gap by investigating the possible relationship between body composition and fatigue, to address this pressing problem in society. By investigating how anthropometric measures relate to fatigue, we aim to overcome these limitations and provide valuable insights into the management of this challenging symptom. Ultimately, our findings have the potential to improve the management of fatigue in PCOS, leading to a better quality of life for women and contributing to broader social well-being. The aim of the study is to investigate the association between anthropometric measures and fatigue levels in women with PCOS.
Objective of the study is to study the anthropometric profile of women with PCOS, to examine the fatigue levels in women with PCOS using the Fatigue Severity Scale, to analyze whether there exists any correlation between these anthropometric parameters and fatigue.
DOI: 10.17632/y2xtg3cttw
title: Dataset: Chemical Properties and Characteristics of Antihypertensive Pharmaceutical Drugs

description: The Anti-Hypertensive Drugs Dataset is a collection of data pertaining to medications used to manage hypertension. This dataset includes detailed information on various anti-hypertensive drugs, chemical properties, pharmacological classifications, mechanisms of action, dosage forms, and clinical usage guidelines. The dataset aims to support research in pharmacology, medicine, and data science, facilitating advancements in drug development, clinical practice, and healthcare analytics.
DOI: 10.6084/m9.figshare.6265655.v1
title: Patient31

description: Male Patient with 268 slice of pulmonary embolism CT-Angiography.
DOI: 10.17632/8wdzm5gwng
title: Acceleration signals of rolling element bearings with artificial defects

description: This dataset includes the acceleration data acquired during an experimental study on rolling element bearings characterized by artificial defects on the outer ring.
Signals were acquired for a number of operative conditions. These were characterized by different values of applied load, shaft rotation frequency and defect dimension. 

The uploaded files include:
- a .rar archive containing all the acceleration signals as .txt files;
- a readme file in .pdf format which contains information about the test bench, the test conditions and how to interpret the .txt files.
DOI: 10.6084/m9.figshare.12269294.v1
title: SPSS Data 37 Intensivists 74 Novices 25 original Questions.sav

description: SPSS Data for 37 Intensivists and 74 Novices.Their scores on the 25 original questions.
DOI: 10.6084/m9.figshare.19923101.v1
title: Supplementary Material for: Alexithymia and Cutaneous Disease Morbidity: A Systematic Review

description: <b><i>Background:</i></b> Alexithymia is a psychological construct that describes one’s difficulty in understanding and describing their own emotions as well as differentiating feelings from bodily signals of arousal. In the general population, alexithymia’s prevalence is approximately 10%. Alexithymia may act as a triggering factor for many medical and psychiatric disorders. In patients with physical disease, alexithymia’s prevalence reaches up to 63%. Additionally, alexithymia is associated with worse outcomes and heightened psychosocial comorbidities. <b><i>Objective:</i></b> This review continues where an earlier review (Willemsen, 2008) left off to (1) clarify alexithymia’s prevalence in dermatology patients and (2) further investigate alexithymia’s impact on disease burden, psychosocial comorbidities, and treatment. <b><i>Methods:</i></b> Systematic searches on alexithymia and dermatologic conditions were conducted using PubMed, Embase, PsycInfo, and Web of Science databases from March 8, 2021, to March 12, 2021. Data from eligible publications, which were full-text, clinical studies published after September 1, 2008, and available in English, were extracted by two medical students and summarized. <b><i>Results:</i></b> Despite a small number of publications (<i>n</i> = 37), data showed a markedly greater prevalence and severity of alexithymia in patients with alopecia, vitiligo, psoriasis, hidradenitis suppurativa, atopic dermatitis, chronic idiopathic urticaria, and primary focal hyperhidrosis compared to healthy controls. Further, data consistently demonstrate a complex interplay between alexithymia, disease burden, and psychosocial comorbidity. <b><i>Conclusions:</i></b> Identifying and addressing alexithymia in dermatology patients may improve treatment outcomes, associated comorbidities, and health-related quality of life.
DOI: 10.17632/txrk7jm6x3
title: Dataset of Khorezm dialect words of Uzbek language

description: As part of the study, a dataset was formed, which was used by a rule-oriented algorithm to standardize dialect forms into formal equivalents. In particular, the dataset contains 2249 dialect words:
1) The words in this dataset were compiled thanks to the joint work of expert linguists who are well versed not only in the Uzbek (formal) language, but also in the dialect forms of this language.
2) The sources of words in the dataset were not only expert linguists, but also native speakers of the dialect language, who are also co-authors of this article.
The dataset was formed manually, no automation processes were carried out except for cases of transliteration of Cyrillic into Latin.
DOI: 10.17632/xsbhdkdcp3
title: Headache Dataset

description: The raw data of the study is available.
DOI: 10.6084/m9.figshare.17087759.v1
title: spatialRNAseq_heart_raw_suppdata.zip

description: High resolution H&E images (TIF) and manual spot alignment (JSON) files for 10x Genomics Visium spatial transcriptomics experiments for reovirus-infected mice heart tissues. These files are raw files which can be used with raw sequencing data to generate count matrices for spatial transcriptomics analysis. If you want processed files ready for analysis, please download the processed_suppdata (ZIP) instead.
DOI: 10.17632/65fwr5ssh3
title: CSTAR Survey

description: CSTAR Survey data about extreme weather communication in vulnerable communities living in NYC.
DOI: 10.17632/mpn45f4gxc
title: Bearing_Dataset_XJTU_Processed

description: Brief description of the provided data

**originaldata** contains the vibration data in .mat files. We use publicly available XJTU-SY bearing run-to-failure dataset Biao Wang, Yaguo Lei, Naipeng Li, Ningbo Li, “A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings”, IEEE Transactions on Reliability, vol. 69, no. 1, pp. 401-412, 2020.

**processeddata** contains vibration data processed into velocity domain and features extracted
DOI: 10.17632/nj65cc743z
title: IndiaNGMMSM

description: The geotechnical data are extracted form geotechnical investigation reports of 6 different construction projects sites located across India. The reports summaries the results and recommendations based on field and laboratory tests carried out by different investigation agencies in accordance with the Indian Standards. Total 112 no’s of data sets of soil properties such as Liquid limit (LL), Plastic limit (PL), Field moisture content (w), sand content (SC), silt content (MC), clay content (CC), density (), field SPT (N), angle of internal friction (phi) and cohesion (c), are obtained by analyzing 75 borelogs.
DOI: 10.6084/m9.figshare.28735670.v1
title: Torreya nucifera

description: The divergence history of two Japanese Torreya taxa.
DOI: 10.6084/m9.figshare.28746392.v1
title: DSC and TGA thermal properties of S1, S3 and S4

description: Thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC) measurements were carried out for S1, S3 ans S4 to obtain thermal decomposition (Td), glass transition temperatures (Tg) and melting points (Tm). For DSC Perkin Elmer DSC 6000 was used with Pyris software for data analysis, and the experiment was carried out from room temperature to 450 deg C in a N2 atmosphere at scan rate of 10 deg per minute. For TGA Perkin Elmer STA 6000 (TGA and DTA) with auto sampler was used with Pyris software for data analysis and experiment was performed from room temperature to 500 deg C in an N2 atmosphere at 10 deg per min. The compounds exhibit good thermal stability with Td (corresponding to a weight loss of 5 %) in the range of 112 to 287 C. High Tg values were observed for S1 (195 C) than for S4 (130 C). The crystallization temperature as an exothermic peak in DSC scans was not observed for S1 or S4, indicating their amorphous nature, which is required for better performance of OLEDs. The melting points exhibited in the DSC scans as sharp endothermic peaks were found to be 409 for S1 and between 227 and 244 C for S4.
DOI: 10.6084/m9.figshare.28382258.v1
title: Code

description: This demonstrates the code for our study titled "Enhanced object detection of Enterobius vermicularis eggs using cumulative transfer learning algorithm".
DOI: 10.6084/m9.figshare.29146082.v1
title: FAMDA: Fusion-based Android Malware Detection Agent with LLM Support

description: <b>FAMDA (Fusion-based Android Malware Detection Agent with LLM Support)</b> is a unified malware detection framework designed to enhance detection accuracy and interpretability by leveraging multi-modal static features and large language model (LLM)-driven reasoning.Unlike traditional detection systems that treat static code representations independently or rely on opaque deep learning models, FAMDA introduces a novel <b>cross-modal fusion strategy</b>. It combines:<b>Low-level grayscale images</b> derived from DEX bytecode, which capture structural patterns (e.g., entropy, packing, code density);<b>High-level behavioral features</b> such as API call sequences and permissions, which encode the app's semantic intent.To bridge the semantic gap between these heterogeneous features, FAMDA employs a <b>feature textualization approach</b>, transforming both modalities into structured natural language prompts. These prompts are processed by an LLM (e.g., DeepSeek or GPT-4o), which performs both classification and explainable reasoning.Empirical results on benchmark datasets (Drebin, AMD) demonstrate that FAMDA achieves:<b>State-of-the-art detection accuracy</b> (up to 95.4%);<b>High interpretability</b> through natural language explanations (AOR &gt; 4.3);<b>Strong robustness</b> under various obfuscation techniques including symbol renaming, DEX packing, and code encryption.FAMDA represents a shift from traditional black-box malware detection toward <b>LLM-augmented, semantically transparent</b> analysis agents, offering practical implications for next-generation mobile threat defense.
DOI: 10.6084/m9.figshare.5631802.v1
title: DatasupportingNaturearticle4_10_17.modified.xlsx

description: Supplementary materials to: <br>Leydesdorff, L., Bornmann, L., & Wagner, C. S. (in preparation). The relative influence of government funding and international collaboration on citation impact. <br>
DOI: 10.17632/d68r69tp5g
title: Data for: Toxicity evaluation of nanocrystalline silver-impregnated coated dressing on the life cycle of worm Caenorhabditis elegans

description: * The hazard of nanosilver-coated dressings was evaluated in C. elegans * Characterization of the coated dressing indicated heterogeneous nanoparticles * L1 exposed worms showed high [ROS] and reduced growth, fertility and reproduction * L4 exposed worms showed almost no responses, being the more resistant larval stage
DOI: 10.17632/6k45whwfcp
title: Efficacy and safety of dupilumab with concomitant topical corticosteroids in children 6 to 11 years old with severe atopic dermatitis: a randomized, double-blinded, placebo-controlled phase 3 trial

description: Author video for the article: Paller AS, et al. Efficacy and safety of dupilumab with concomitant topical corticosteroids in children 6 to 11 years old with severe atopic dermatitis: a randomized, double-blinded, placebo-controlled phase 3 trial. J Am Acad Dermatol. 2020 Jun 20;S0190-9622(20)31152-X. doi: 10.1016/j.jaad.2020.06.054
DOI: 10.17632/jdh9hs6w5m
title: Multi-dimensional perceptions on educational Environment: A dataset of Vietnamese universities

description: The dataset provides insights into the educational environment of Vietnamese universities and the factors influencing its transformation. The questionnaire was developed based on key dimensions of the educational environment, including teaching and learning, science and technology, and the collaborative and community development environments. These dimensions align with the three core missions of higher education institutions: teaching, research, and service missions. Data was collected via an online survey conducted over a two-month period, from September to October 2024. A convenient sampling method was employed to gather responses from 450 participants. The respondents were categorized according to their professional positions, geographical locations (provinces), and types of universities.
DOI: 10.6084/m9.figshare.3526379.v1
title: Appendix A. A list of names and abbreviations of the species entered in the analysis.

description: A list of names and abbreviations of the species entered in the analysis.
DOI: 10.17632/9bbwcytc7j
title: Navigating Ethical Dilemmas in AI-Enhanced Language Education: Addressing Bias and Ensuring Inclusivity

description: Purpose: This study investigates the ethical, practical, and educational implications of integrating artificial intelligence (AI) into language education. The focus is on identifying the challenges of algorithmic bias, data privacy, inclusivity, and the impact on teacher-student dynamics, aiming to 
provide insights that can guide the responsible and effective use of AI in education. Findings: The research reveals that algorithmic bias poses a significant threat to educational equity, potentially perpetuating existing inequalities. Data privacy concerns are prevalent, necessitating strict regulatory measures. Inclusivity remains a challenge, with AI risks widening 
the educational gap between socio-economic groups. Additionally, the study highlights the potential erosion of the teacher-student relationship due to over-reliance on AI, which could undermine the human elements crucial to the learning process. Design/Methodology/Approach: The study employs a qualitative research methodology, utilizing thematic analysis to explore literature, case studies, and expert interviews. This approach allows for an in-depth understanding of the multifaceted issues surrounding AI in language education and provides a nuanced perspective on its implications.
Originality/Value: This research contributes to the emerging discourse on AI in education by addressing the often-overlooked ethical and social dimensions. It offers a unique perspective by examining the intersection of AI with cultural and socio-economic factors, providing valuable insights for educators, policymakers, and AI developers.
DOI: 10.17632/nvyrckh26j
title: Paris Agreement, ESG, and Investment Porfolios

description: This folder contains data and Python scripts used to conduct the analysis presented in the paper "The Paris Agreement, ESG factors, and Investment Portfolios".