cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00217.11739
title: Construction and Validation of a Hepatocellular Carcinoma Prognostic Model Based on Bile Acid Metabolism and Immune-Related Genes
title: 基于胆汁酸代谢与免疫相关基因的肝癌预后模型构建及验证

description: Objective Immune evasion and metabolic reprogramming synergistically drive hepatocellular carcinoma (HCC) progression, with bile acid metabolism serving as a pivotal link. This study aims to construct a HCC risk prediction model integrating interactions between bile acid metabolism and immune-related genes (BAMIRGs).Methods BAMIRGs were extracted from TCGA and GEO databases. Models were constructed using non-negative matrix factorization clustering and minimally absolute shrinkage and selection operator (MASS) Cox regression for performance evaluation. Accuracy was compared against other published HCC prognostic prediction models.Results BAMIRGs differentiated HCC patients across subtypes and influenced the immune microenvironment. The BAMIRGs model demonstrated favorable predictive performance (C-index=0.668), outperforming previously published models, particularly for patients with diverse clinical characteristics. The risk score emerged as an independent prognostic factor for HCC. Model risk scores showed significant correlations with immunosuppressive microenvironments and tumor mutational burden. The high-risk HCC group was associated with immune infiltration processes, while the low-risk group correlated with metabolic processes.Conclusion The BAMIRGs model effectively predicts HCC prognostic risk and immune microenvironment, offering a promising tool for HCC risk assessment and personalized treatment.
description: Objective Immune evasion and metabolic reprogramming synergistically drive hepatocellular carcinoma (HCC) progression, with bile acid metabolism serving as a pivotal link. This study aims to construct a HCC risk prediction model integrating interactions between bile acid metabolism and immune-related genes (BAMIRGs).Methods BAMIRGs were extracted from TCGA and GEO databases. Models were constructed using non-negative matrix factorization clustering and minimally absolute shrinkage and selection operator (MASS) Cox regression for performance evaluation. Accuracy was compared against other published HCC prognostic prediction models.Results BAMIRGs differentiated HCC patients across subtypes and influenced the immune microenvironment. The BAMIRGs model demonstrated favorable predictive performance (C-index=0.668), outperforming previously published models, particularly for patients with diverse clinical characteristics. The risk score emerged as an independent prognostic factor for HCC. Model risk scores showed significant correlations with immunosuppressive microenvironments and tumor mutational burden. The high-risk HCC group was associated with immune infiltration processes, while the low-risk group correlated with metabolic processes.Conclusion The BAMIRGs model effectively predicts HCC prognostic risk and immune microenvironment, offering a promising tool for HCC risk assessment and personalized treatment.
DOI: 10.5281/zenodo.18491173
title: Survey_ETIC6_Forge_Editor_Gtnum_Forges

description: Result of the survey, from the user study on Forge Editor than held in University of le Mans on 15 october 2025.
DOI: 10.21979/n9/oeanor
title: Global Health and Wellness Coaching Training Programmes

description: This dataset contains basic details about global health and wellness coaching programmes. The dataset was generated during the month of June 2018. The terms "health coaching" and "wellness coaching" was used in Google search to identify the relevant web links.
DOI: 10.5281/zenodo.18491172
title: Survey_ETIC6_Forge_Editor_Gtnum_Forges

description: Result of the survey, from the user study on Forge Editor than held in University of le Mans on 15 october 2025.
DOI: 10.48512/xcv8517413
title: Polished Stone Image Dataset

description: Polished stone dataset used for the Polished Stone Advanced Image Search additional metadata.
DOI: 10.5281/zenodo.12788174
title: Data from "Learning on the fly: Rapid development of juvenile shorebirds' foraging abilities across a migratory range"

description: Data from "Learning on the fly: Rapid development of juvenile shorebirds’ foraging abilities across a migratory range"

Submitted to Animal Behavior (in review)
DOI: 10.5281/zenodo.12788175
title: Data from "Learning on the fly: Rapid development of juvenile shorebirds' foraging abilities across a migratory range"

description: Data from "Learning on the fly: Rapid development of juvenile shorebirds’ foraging abilities across a migratory range"

Submitted to Animal Behavior (in review)
DOI: 10.57760/sciencedb.36772
title: Pediococcus acidiactii alleviates Shigella induced colitis by secreting NAR to interfere with the SIRT1/FOXO3 signaling pathway
title: Pediococcus acidiactii alleviates Shigella induced colitis by secreting NAR to interfere with the SIRT1/FOXO3 signaling pathway

description: 背景：香柏氏菌酸乳球菌香柏氏菌结果：酸乳化球菌酸乳球菌志贺拉酸乳球菌酸乳球菌酸乳球菌志贺拉志贺拉结果：酸乳球菌 酸乳球菌 酸乳球菌 志贺拉 球菌 拉
description: 背景：香柏氏菌酸乳球菌香柏氏菌结果：酸乳化球菌酸乳球菌志贺拉酸乳球菌酸乳球菌酸乳球菌志贺拉志贺拉结果：酸乳球菌 酸乳球菌 酸乳球菌 志贺拉 球菌 拉
DOI: 10.57760/sciencedb.36759
title: Data Compendium on Geometric Quantum Interference-Enhanced Mid-Infrared Nonlinear Optical Modulation in CdO Nanogratings
title: 氧化镉纳米光栅中几何量子干涉增强的中红外非线性光学调制的数据合集

description: This dataset includes the raw SEM and XRD data from Figure 2, the transmission spectra and compiled data of the real and imaginary parts of the dielectric function from Figure 3, the electric‑field simulation data from Figure 4, the β‑value data at 2 μm and 3 μm from Figure 5, the pump‑probe data from Figure 6, as well as the carrier‑concentration data from Table 1.
description: This dataset includes the raw SEM and XRD data from Figure 2, the transmission spectra and compiled data of the real and imaginary parts of the dielectric function from Figure 3, the electric‑field simulation data from Figure 4, the β‑value data at 2 μm and 3 μm from Figure 5, the pump‑probe data from Figure 6, as well as the carrier‑concentration data from Table 1.
DOI: 10.4121/06046d03-7d97-4935-a43a-439de2988703
title: Data underlying the publication: A distinct phylogenetic subgroup Ralstonia pseudosolanacearum phylotype I pathovar mori: Genomic and Pathogenic Insights into Virulence Gradients and Invasion

description: This dataset supports the study of mulberry bacterial wilt caused by <em>Ralstonia pseudosolanacearum</em> var. mori, a distinct clade within Phylotype I, focusing on its taxonomic status, virulence gradients, and host-specific adaptations. It includes genomic sequences, phenotypic data, and experimental results from multilocus sequence analysis (MLSA), whole-genome sequencing, in vitro virulence assays, pot experiments, electron microscopy, and RT-qPCR for seven mulberry <em>Ralstonia</em> strains (LKqk, LZqk, XCqk, XZqk, YDqk, YLqk, HJqk). The dataset contains raw and processed data, such as genomic annotations, virulence gene profiles, and expression data, stored in spreadsheet (.xlsx), genomic (.fasta), and text (.txt) formats, facilitating research on microbial genomics, plant pathology, and CRISPR-Cas-based biocontrol strategies.
DOI: 10.57760/sciencedb.36755
title: Transcriptomic Analysis Reveals Differential Gene Expression in the Mouse Medial Habenula During Nicotine Withdrawal
title: Transcriptomic Analysis Reveals Differential Gene Expression in the Mouse Medial Habenula During Nicotine Withdrawal

description: Six wild-type mice were administered nicotine ditartrate (4 mg/kg, intraperitoneally) twice daily for 14 consecutive days. On day 15, nicotine injections were replaced with saline to induce nicotine withdrawal, and these mice were assigned to the experimental group (designated as the nicotine group for transcriptomic analysis). In parallel, four wild-type mice received intraperitoneal injections of saline for 17 consecutive days and served as the control group (designated as the control group). On day 17, medial habenula (MHb) brain tissue was collected from mice in both groups for transcriptomic sequencing, and differential gene expression was analyzed.
description: Six wild-type mice were administered nicotine ditartrate (4 mg/kg, intraperitoneally) twice daily for 14 consecutive days. On day 15, nicotine injections were replaced with saline to induce nicotine withdrawal, and these mice were assigned to the experimental group (designated as the nicotine group for transcriptomic analysis). In parallel, four wild-type mice received intraperitoneal injections of saline for 17 consecutive days and served as the control group (designated as the control group). On day 17, medial habenula (MHb) brain tissue was collected from mice in both groups for transcriptomic sequencing, and differential gene expression was analyzed.
DOI: 10.4121/06046d03-7d97-4935-a43a-439de2988703.v2
title: Data underlying the publication: A distinct phylogenetic subgroup Ralstonia pseudosolanacearum phylotype I pathovar mori: Genomic and Pathogenic Insights into Virulence Gradients and Invasion

description: This dataset supports the study of mulberry bacterial wilt caused by <em>Ralstonia pseudosolanacearum</em> var. mori, a distinct clade within Phylotype I, focusing on its taxonomic status, virulence gradients, and host-specific adaptations. It includes genomic sequences, phenotypic data, and experimental results from multilocus sequence analysis (MLSA), whole-genome sequencing, in vitro virulence assays, pot experiments, electron microscopy, and RT-qPCR for seven mulberry <em>Ralstonia</em> strains (LKqk, LZqk, XCqk, XZqk, YDqk, YLqk, HJqk). The dataset contains raw and processed data, such as genomic annotations, virulence gene profiles, and expression data, stored in spreadsheet (.xlsx), genomic (.fasta), and text (.txt) formats, facilitating research on microbial genomics, plant pathology, and CRISPR-Cas-based biocontrol strategies.
DOI: 10.57760/sciencedb.j00266.00008
title: Tracing interregional carbon flow dynamics: evidence from Shanghai’s industrial transformation
title: Tracing interregional carbon flow dynamics: evidence from Shanghai’s industrial transformation

description: This data describes the carbon transfer data between Shanghai and 30 other provinces in China under the background of industrial transformation, with research periods of 2012, 2015, and 2017. The data mainly includes sectoral carbon inflows and outflows, industry clustering results, and driving effects of carbon outflows and outflows.
description: This data describes the carbon transfer data between Shanghai and 30 other provinces in China under the background of industrial transformation, with research periods of 2012, 2015, and 2017. The data mainly includes sectoral carbon inflows and outflows, industry clustering results, and driving effects of carbon outflows and outflows.
DOI: 10.57760/sciencedb.36816
title: Tracking long-term dynamics of soil salinization using a model combining convolutional neural network and Transformer
title: Tracking long-term dynamics of soil salinization using a model combining convolutional neural network and Transformer

description: Soil salinization is a major land degradation process caused by the accumulation of soluble salts in surface soils and poses a serious threat to agricultural sustainability, particularly in coastal regions. The Yellow River Delta (YRD), as an important agricultural production base in China, is highly vulnerable to soil salinization due to strong evaporation, shallow groundwater, and intensive human activities. To track the long-term spatiotemporal dynamics of soil salinization in this heterogeneous region, this study utilized ground-measured soil salinity concentration (SSC) sample data spanning 2002–2022, together with multi-source satellite data. Here, we share the complete soil salinity sample dataset and related data used in this study to support spatiotemporal analysis and remote sensing–based monitoring of soil salinization in the YRD.
description: Soil salinization is a major land degradation process caused by the accumulation of soluble salts in surface soils and poses a serious threat to agricultural sustainability, particularly in coastal regions. The Yellow River Delta (YRD), as an important agricultural production base in China, is highly vulnerable to soil salinization due to strong evaporation, shallow groundwater, and intensive human activities. To track the long-term spatiotemporal dynamics of soil salinization in this heterogeneous region, this study utilized ground-measured soil salinity concentration (SSC) sample data spanning 2002–2022, together with multi-source satellite data. Here, we share the complete soil salinity sample dataset and related data used in this study to support spatiotemporal analysis and remote sensing–based monitoring of soil salinization in the YRD.
DOI: 10.57760/sciencedb.36811
title: Related data of Neural Network Model for Predicting Thin-Film Structural Parameters Based on X-Ray Reflectivity Curve Features
title: Related data of Neural Network Model for Predicting Thin-Film Structural Parameters Based on X-Ray Reflectivity Curve Features

description: Related data of Neural Network Model for Predicting Thin-Film Structural Parameters Based on X-Ray Reflectivity Curve Features.Including Structure of films,. Heatmap of Spearman Correlation Coefficients Between Thin Film Parameters and XRR Curve Feature Parameters and so on.
description: Related data of Neural Network Model for Predicting Thin-Film Structural Parameters Based on X-Ray Reflectivity Curve Features.Including Structure of films,. Heatmap of Spearman Correlation Coefficients Between Thin Film Parameters and XRR Curve Feature Parameters and so on.
DOI: 10.57760/sciencedb.36810
title: Performance and Mechanism Analysis of AFFF and FWM Fire Extinguishing Systems in Full-Scale Cable Tray Fires
title: Performance and Mechanism Analysis of AFFF and FWM Fire Extinguishing Systems in Full-Scale Cable Tray Fires

description: 电缆托盘火灾因可能引发连锁反应而被公认为船舶安全中的高风险情景，通过三项全规模火灾测试进行了调查：自由燃烧、使用水性膜形成泡沫（AFFF）扑灭和使用细水雾（FWM）扑灭。通过分析温度曲线和火焰特性，评估了两种系统的灭火机制。还对涉及电缆托盘和级联基池火灾的火灾进行了实验。结果显示，AFFF和FWM都成功扑灭了电缆火灾。虽然AFFF实现了更短的有效灭光时间和完全灭光时间，但FWM在考虑整体灭火剂流量时更为有利。此外，基池火灾的存在虽然提高了电缆火温，但并未影响FWM的灭火效率。机理分析显示，AFFF抑制主要依赖于物理抑制，包括稀释、冷却和隔离效果，而FWM则结合物理和化学抑制，通过破坏火焰结构、冷却和窒息。
description: 电缆托盘火灾因可能引发连锁反应而被公认为船舶安全中的高风险情景，通过三项全规模火灾测试进行了调查：自由燃烧、使用水性膜形成泡沫（AFFF）扑灭和使用细水雾（FWM）扑灭。通过分析温度曲线和火焰特性，评估了两种系统的灭火机制。还对涉及电缆托盘和级联基池火灾的火灾进行了实验。结果显示，AFFF和FWM都成功扑灭了电缆火灾。虽然AFFF实现了更短的有效灭光时间和完全灭光时间，但FWM在考虑整体灭火剂流量时更为有利。此外，基池火灾的存在虽然提高了电缆火温，但并未影响FWM的灭火效率。机理分析显示，AFFF抑制主要依赖于物理抑制，包括稀释、冷却和隔离效果，而FWM则结合物理和化学抑制，通过破坏火焰结构、冷却和窒息。
DOI: 10.57760/sciencedb.j00266.00003
title: Local Climate Zone (LCZ) Map of Xi'an, China (2024)
title: Local Climate Zone (LCZ) Map of Xi'an, China (2024)

description: To generate the 2024 Local Climate Zone (LCZ) map of Xi’an, we followed the Local Climate Zone classification standard proposed by Stewart & Oke (2012). Cloud-free imagery from Google Earth, obtained on November 25, 2024, was used for the visual interpretation and analysis of LCZ types. Training samples were carefully selected to optimize the classification accuracy, with the following predefined criteria: each sample should cover an area of no less than 1.0 km², have a minimum length and a minimum width of 200 m each, be free of morphologically heterogeneous or irregular features, and maintain a 100-m distance from adjacent samples to minimize classification errors. Through this rigorous selection, 8–65 samples were obtained for each LCZ type. Subsequently, a 25-fold bootstrap cross-validation was conducted to iteratively refine the training samples. This validation process ensured the stability of the classification model and ultimately led to the generation of the final 2024 LCZ map of Xi’an, which achieved an overall classification accuracy of 75%.
description: To generate the 2024 Local Climate Zone (LCZ) map of Xi’an, we followed the Local Climate Zone classification standard proposed by Stewart & Oke (2012). Cloud-free imagery from Google Earth, obtained on November 25, 2024, was used for the visual interpretation and analysis of LCZ types. Training samples were carefully selected to optimize the classification accuracy, with the following predefined criteria: each sample should cover an area of no less than 1.0 km², have a minimum length and a minimum width of 200 m each, be free of morphologically heterogeneous or irregular features, and maintain a 100-m distance from adjacent samples to minimize classification errors. Through this rigorous selection, 8–65 samples were obtained for each LCZ type. Subsequently, a 25-fold bootstrap cross-validation was conducted to iteratively refine the training samples. This validation process ensured the stability of the classification model and ultimately led to the generation of the final 2024 LCZ map of Xi’an, which achieved an overall classification accuracy of 75%.
DOI: 10.57760/sciencedb.36790
title: Datasets for SWOT Data Validation
title: Datasets for SWOT Data Validation

description: Relevant data used for SWOT data validation.
description: Relevant data used for SWOT data validation.
DOI: 10.57760/sciencedb.36437
title: The ZSM-22-ZSM-23 composite molecular sieve catalyst regulates the product distribution of the hydroisomerization of n-dodecane
title: ZSM-22-ZSM-23复合分子筛催化剂调节正十二烷临氢异构化产物分布

description: The morphology, acidic properties, and textural properties of the samples were characterized by XRD, SEM, TEM, NH₃-TPD, Py-IR, and N₂ adsorption-desorption techniques. Using n-dodecane as the model reactant, the hydroisomerization catalytic performance of the composite zeolite was compared with that of the two individual zeolites. 
description: The morphology, acidic properties, and textural properties of the samples were characterized by XRD, SEM, TEM, NH₃-TPD, Py-IR, and N₂ adsorption-desorption techniques. Using n-dodecane as the model reactant, the hydroisomerization catalytic performance of the composite zeolite was compared with that of the two individual zeolites.
DOI: 10.57760/sciencedb.36773
title: Original datasets for phylogenetic analysis in A firefly that smelled and shined: complex communication and signalling in Cretaceous lampyroids
title: Original datasets for phylogenetic analysis in A firefly that smelled and shined: complex communication and signalling in Cretaceous lampyroids

description: Original datasets for phylogenetic analysisA firefly that smelled and shined: complex communication and signalling in Cretaceous lampyroids
description: Original datasets for phylogenetic analysisA firefly that smelled and shined: complex communication and signalling in Cretaceous lampyroids
DOI: 10.5281/zenodo.18491159
title: Data for: Decoupling of the root–permafrost system drives a turning point in high-latitude spring phenology

description: This dataset contains the processed data supporting the analyses and figures in the manuscript "Decoupling of the root–permafrost system drives a turning point in high-latitude spring phenology".

It includes pixel-level vegetation spring phenology metrics,  and statistical results derived from moving-window partial correlation and regression analyses.
DOI: 10.5281/zenodo.18491158
title: Data for: Decoupling of the root–permafrost system drives a turning point in high-latitude spring phenology

description: This dataset contains the processed data supporting the analyses and figures in the manuscript "Decoupling of the root–permafrost system drives a turning point in high-latitude spring phenology".

It includes pixel-level vegetation spring phenology metrics,  and statistical results derived from moving-window partial correlation and regression analyses.
DOI: 10.5281/zenodo.18491354
title: Janet Holbrook (LiDAR) August 8 2025

description: This orthomosaic of Sånta Rita-Sumai, Guam was created from 34 images taken on August 8 2025, at 125ft AGL, with a DJI Matrice 350 . The mission was planned using the DJI Pilot application and post-processed using DJI Terra.

This project was made possible through funding by the following grant(s): NACD (Award No. HQ00342020012).
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.

By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer.

 

 

Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.57760/sciencedb.36750
title: Data for "Surface Air Enrichment of Cosmogenic 35S at a Subtropical Site During the May 2024 Solar Superstorm” submitted to GRL
title: Data for "Surface Air Enrichment of Cosmogenic 35S at a Subtropical Site During the May 2024 Solar Superstorm” submitted to GRL

description: Data shown in Figure 1
description: Data shown in Figure 1
DOI: 10.57760/sciencedb.36656
title: The dataset of the article "Cerebral Venous Sinus Thrombosis in a Family with Protein S Deficiency: Genetic Analysis and Phenotypic Characteristics"
title: The dataset of the article "Cerebral Venous Sinus Thrombosis in a Family with Protein S Deficiency: Genetic Analysis and Phenotypic Characteristics"

description: Conservation analysis results of the p.Lys296 siteDNA sequencing diagramHereditary protein S deficiency familyImage of the probandModel diagram of the PS protein
description: Conservation analysis results of the p.Lys296 siteDNA sequencing diagramHereditary protein S deficiency familyImage of the probandModel diagram of the PS protein
DOI: 10.57760/sciencedb.31979
title: A Dataset for Training the Denoising Approach Based on CEEMDAN-nlDAE
title: A Dataset for Training the Denoising Approach Based on CEEMDAN-nlDAE

description: To address the challenges of complex noise during data acquisition in real shop-floor environments, we propose a denoising approach that combines complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and a noise-learning-based denoising autoencoder (nlDAE). Gauge block measurements are used to train the denoising model.This dataset provides the data used to train the CEEMDAN-nlDAE model in this study, including data of simulation experiment and gauge block measurement.
description: To address the challenges of complex noise during data acquisition in real shop-floor environments, we propose a denoising approach that combines complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and a noise-learning-based denoising autoencoder (nlDAE). Gauge block measurements are used to train the denoising model.This dataset provides the data used to train the CEEMDAN-nlDAE model in this study, including data of simulation experiment and gauge block measurement.