cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.27204
title: Thermo-Optical Synergistic Phase Transition Dynamics in VO₂ Thin Films for Intelligent Laser Limiting
title: 氧化钒薄膜的温度-激光协同相变动力学与智能光限幅应用

description: In this work, VO2 thin films were first deposited on sapphire substrates using DC magnetron sputtering. Scanning electron microscopy (SEM), X-ray diffraction (XRD), and radiometric analysis (RAMAN) demonstrated high film quality. Transmittance/reflection spectra were then measured using Fourier transform infrared (FTIR) spectroscopy, confirming high contrast in the mid-infrared region. Furthermore, a temperature control device and a 3.8μm high-power continuous-wave laser test platform were constructed to investigate the effects of temperature and power density on the VO2 phase transition. The results show that increasing both temperature and incident light power accelerates the VO2 phase transition. At room temperature (25°C) and an incident power density of 1083 W/cm2, a minimum temperature of 47°C is required for the phase transition to occur within 10 seconds. At 50°C, a phase transition occurs within 10 seconds at an incident power density of only 161 W/cm2. When the incident power density reaches 1083 W/cm2, the phase transition time is shortened to milliseconds. The phase change recovery time of VO2 thin films is closely related to parameters such as the heat dissipation performance of the substrate material and the ambient temperature. Therefore, the laser protection effect of VO2 thin films can be improved by optimizing the substrate material or adopting active heat dissipation.
description: In this work, VO2 thin films were first deposited on sapphire substrates using DC magnetron sputtering. Scanning electron microscopy (SEM), X-ray diffraction (XRD), and radiometric analysis (RAMAN) demonstrated high film quality. Transmittance/reflection spectra were then measured using Fourier transform infrared (FTIR) spectroscopy, confirming high contrast in the mid-infrared region. Furthermore, a temperature control device and a 3.8μm high-power continuous-wave laser test platform were constructed to investigate the effects of temperature and power density on the VO2 phase transition. The results show that increasing both temperature and incident light power accelerates the VO2 phase transition. At room temperature (25°C) and an incident power density of 1083 W/cm2, a minimum temperature of 47°C is required for the phase transition to occur within 10 seconds. At 50°C, a phase transition occurs within 10 seconds at an incident power density of only 161 W/cm2. When the incident power density reaches 1083 W/cm2, the phase transition time is shortened to milliseconds. The phase change recovery time of VO2 thin films is closely related to parameters such as the heat dissipation performance of the substrate material and the ambient temperature. Therefore, the laser protection effect of VO2 thin films can be improved by optimizing the substrate material or adopting active heat dissipation.
DOI: 10.57760/sciencedb.29446
title: Caijiachuan Basin UAV-LiDAR DataSet
title: Caijiachuan Basin UAV-LiDAR DataSet

description: The point cloud data are organized and stored according to sub-basin divisions, covering seven small watersheds including the Renzu Mountain Natural Robinia pseudoacacia Forest Basin、Liujiaao Artificial Forest and Secondary Forest Basin、Liugou Closed Basin、North Slope Artificial Forest Basin、Jinggou Agriculture and Animal Husbandry Composite Basin、Caijiachuan Nested Basin、Nanbeiyao Farmland Basin.
description: The point cloud data are organized and stored according to sub-basin divisions, covering seven small watersheds including the Renzu Mountain Natural Robinia pseudoacacia Forest Basin、Liujiaao Artificial Forest and Secondary Forest Basin、Liugou Closed Basin、North Slope Artificial Forest Basin、Jinggou Agriculture and Animal Husbandry Composite Basin、Caijiachuan Nested Basin、Nanbeiyao Farmland Basin.
DOI: 10.57760/sciencedb.27632
title: Dataset of Comorbid Atherosclerosis and Alzheimer's Disease
title: Dataset of Comorbid Atherosclerosis and Alzheimer's Disease

description: The gene datasets selected for this study are all sourced from the Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/). In order to better reflect the actual situation of clinical patients, we selected datasets from patients with "atherosclerosis" (AS) and "Alzheimer's disease" (AD) respectively. The atherosclerosis dataset includes GSE100927 and GSE28829, while the Alzheimer's disease dataset includes GSE97760 and GSE48350 for research purposes. Among them, GSE100927 and GSE97760 serve as the study sets, and GSE28829 and GSE48350 serve as the validation sets. Furthermore, through a variety of bioinformatics analysis methods, we identified 4 key shared differentially expressed genes (DEGs) in comorbid atherosclerosis (AS) and Alzheimer's disease (AD), namely EGR2, LST1, MS4A7, and OASL. This dataset also contains expression quantitative trait loci (eQTLs) data of these 4 key DEGs, as well as genome-wide association study (GWAS) data of AS and AD. The supplementary data include the results of Mendelian randomization analysis between the 4 key DEGs and the two diseases (AS and AD).
description: The gene datasets selected for this study are all sourced from the Gene Expression Omnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/). In order to better reflect the actual situation of clinical patients, we selected datasets from patients with "atherosclerosis" (AS) and "Alzheimer's disease" (AD) respectively. The atherosclerosis dataset includes GSE100927 and GSE28829, while the Alzheimer's disease dataset includes GSE97760 and GSE48350 for research purposes. Among them, GSE100927 and GSE97760 serve as the study sets, and GSE28829 and GSE48350 serve as the validation sets. Furthermore, through a variety of bioinformatics analysis methods, we identified 4 key shared differentially expressed genes (DEGs) in comorbid atherosclerosis (AS) and Alzheimer's disease (AD), namely EGR2, LST1, MS4A7, and OASL. This dataset also contains expression quantitative trait loci (eQTLs) data of these 4 key DEGs, as well as genome-wide association study (GWAS) data of AS and AD. The supplementary data include the results of Mendelian randomization analysis between the 4 key DEGs and the two diseases (AS and AD).
DOI: 10.57760/sciencedb.27627
title: Spatial and Single-Cell Transcriptomic Atlas of Gastric Cancer and Lymph Nodes
title: Spatial and Single-Cell Transcriptomic Atlas of Gastric Cancer and Lymph Nodes

description: Three transcriptomic datasets are included: GeoMx DSP on FFPE gastric cancer and lymph node specimens from 12 patients; 10x single-cell RNA-seq from 3 gastric cancer samples; and 10x Visium spatial transcriptomics from 2 gastric cancer samples.
description: Three transcriptomic datasets are included: GeoMx DSP on FFPE gastric cancer and lymph node specimens from 12 patients; 10x single-cell RNA-seq from 3 gastric cancer samples; and 10x Visium spatial transcriptomics from 2 gastric cancer samples.
DOI: 10.57760/sciencedb.xbyxb.00114
title: Information in control group, COPD model group and ZSWQF group
title: 对照组、COPD组和ZSWQF组资料比较

description: (1) The WBC count in the COPD model group was significantly higher than that in the control group (P&lt;0.01), while it was lower in the Zangsiwei Qingfei Mixture group. No significant differences were observed in organ weights, ALT, or Cr levels among the groups. (2) Serum and BALF levels of IL-6, IL-8, and TNF-α were higher in the COPD model group compared to the control group (P&lt;0.05), while these levels were lower in the Zangsiwei Qingfei Mixture group than in the COPD model group (P&lt;0.05). 
description: (1) The WBC count in the COPD model group was significantly higher than that in the control group (P&lt;0.01), while it was lower in the Zangsiwei Qingfei Mixture group. No significant differences were observed in organ weights, ALT, or Cr levels among the groups. (2) Serum and BALF levels of IL-6, IL-8, and TNF-α were higher in the COPD model group compared to the control group (P&lt;0.05), while these levels were lower in the Zangsiwei Qingfei Mixture group than in the COPD model group (P&lt;0.05).
DOI: 10.57760/sciencedb.27555
title: Data of MUSER-L
title: MUSER-L数据

description: On May 31, 2025, the MUSER-L heliograph observed the sun. The available data for the observation period is from 7:14 to 7:44 and 8:14 to 8:44 on that day .
description: On May 31, 2025, the MUSER-L heliograph observed the sun. The available data for the observation period is from 7:14 to 7:44 and 8:14 to 8:44 on that day .
DOI: 10.57760/sciencedb.27603
title: Low-molecular-weight organic acids have limited influence on nitrogen-driven phosphorus transformation: A breakdown in carbon-phosphorus trade
title: Low-molecular-weight organic acids have limited influence on nitrogen-driven phosphorus transformation: A breakdown in carbon-phosphorus trade

description: Effects of Nitrogen and Low-molecular-weight organic acids on phosphorus fractions, pH, iron/aluminum oxides, enzyme activities, and microbial properties in rhizosphere and bulk Soil
description: Effects of Nitrogen and Low-molecular-weight organic acids on phosphorus fractions, pH, iron/aluminum oxides, enzyme activities, and microbial properties in rhizosphere and bulk Soil
DOI: 10.57760/sciencedb.26046
title: Data Invoked by Large Language Models and Human Decision-Making Performance Data
title: 大语言模型调用数据及人类决策表现数据

description: The datasets generated and analyzed in this article are organized by study:Study 1: Data include GPT-3.5 and GPT-4 decision outcomes in single vs. repeated gamble tasks, program scripts for API calls, corresponding problem sets, R code for chi-square tests and logistic regression, and visualization scripts.Study 2: Data cover the standardized procedure for generating decision strategies with LLMs, experimental data from human participants across medical, financial, content creation, and e-commerce contexts, as well as associated R analysis code.Study 3: Data include decision outcomes of human participants exposed to LLM-generated intervention texts and the corresponding analysis code.All relevant materials (stimuli, scripts, and analysis code) are available upon reasonable request from the authors.
description: The datasets generated and analyzed in this article are organized by study:Study 1: Data include GPT-3.5 and GPT-4 decision outcomes in single vs. repeated gamble tasks, program scripts for API calls, corresponding problem sets, R code for chi-square tests and logistic regression, and visualization scripts.Study 2: Data cover the standardized procedure for generating decision strategies with LLMs, experimental data from human participants across medical, financial, content creation, and e-commerce contexts, as well as associated R analysis code.Study 3: Data include decision outcomes of human participants exposed to LLM-generated intervention texts and the corresponding analysis code.All relevant materials (stimuli, scripts, and analysis code) are available upon reasonable request from the authors.
DOI: 10.57760/sciencedb.27208
title: Transformation of Transient Luminous Event Types during Merging of Oceanic Convective Cells
title: Transformation of Transient Luminous Event Types during Merging of Oceanic Convective Cells

description: The dataset used in the manuscript Transformation of Transient Luminous Event Types during Merging of Oceanic Convective Cells contains detailed information on the transient luminous events (TLEs) analyzed in this study. Specifically, it includes the occurrence time of each event, the event type (e.g., sprite, gigantic jet, or other forms), the observing station, the corresponding associated lightning information, as well as the distance and azimuth of the event relative to the observation site. The dataset folder contains photographs of the TLEs.
description: The dataset used in the manuscript Transformation of Transient Luminous Event Types during Merging of Oceanic Convective Cells contains detailed information on the transient luminous events (TLEs) analyzed in this study. Specifically, it includes the occurrence time of each event, the event type (e.g., sprite, gigantic jet, or other forms), the observing station, the corresponding associated lightning information, as well as the distance and azimuth of the event relative to the observation site. The dataset folder contains photographs of the TLEs.
DOI: 10.57760/sciencedb.xbyxb.00115
title: Dataset on the Mediating Role of Insulin Resistance Between Hypertension and NAFLD and Risk Prediction Models: Evidence from Large-Scale Machine Learning and Mediation Analysis
title: 胰岛素抵抗在高血压与NAFLD之间的中介作用及风险预测模型相关数据集（基于大样本的机器学习与中介分析）

description: This dataset was derived from 280,976 individuals who underwent health examinations at the Health Management Center of the Third Xiangya Hospital, Central South University, between August 2017 and December 2021. It was used to investigate the mediating role of insulin resistance (IR) in the relationship between hypertension and non-alcoholic fatty liver disease (NAFLD), and to evaluate the predictive value of multiple IR surrogate indices in NAFLD risk modeling.The dataset contains:Figure S1: Correlation matrix heatmaps of IR surrogate indices and NAFLD in hypertensive and non-hypertensive groups;Table S1: Pearson correlation coefficients and significance levels between variables and NAFLD in the hypertensive group;Table S2: Pearson correlation coefficients and significance levels between variables and NAFLD in the non-hypertensive group;Table S3: Baseline characteristics of individuals with and without NAFLD.This dataset provides evidence for exploring the “hypertension–IR–NAFLD” pathway and supports large-scale mediation analysis and machine learning modeling for NAFLD risk prediction.
description: This dataset was derived from 280,976 individuals who underwent health examinations at the Health Management Center of the Third Xiangya Hospital, Central South University, between August 2017 and December 2021. It was used to investigate the mediating role of insulin resistance (IR) in the relationship between hypertension and non-alcoholic fatty liver disease (NAFLD), and to evaluate the predictive value of multiple IR surrogate indices in NAFLD risk modeling.The dataset contains:Figure S1: Correlation matrix heatmaps of IR surrogate indices and NAFLD in hypertensive and non-hypertensive groups;Table S1: Pearson correlation coefficients and significance levels between variables and NAFLD in the hypertensive group;Table S2: Pearson correlation coefficients and significance levels between variables and NAFLD in the non-hypertensive group;Table S3: Baseline characteristics of individuals with and without NAFLD.This dataset provides evidence for exploring the “hypertension–IR–NAFLD” pathway and supports large-scale mediation analysis and machine learning modeling for NAFLD risk prediction.
DOI: 10.57760/sciencedb.j00217.09389
title: Genome-wide Cross-trait Analysis Reveals Shared Genetic Architecture between Various Cancers and Myasthenia Gravis
title: 多种癌症与重症肌无力的潜在关联：一项孟德尔随机化研究

description: Myasthenia Gravis (MG) and various cancers may share common genetic foundations. This study employed large-scale genetic data to investigate their shared genetic architecture by analyzing genome-wide association study data from nine cancer types and three MG subtypes. Linkage disequilibrium score regression , pleiotropy analysis , and Mendelian randomization were applied. Results revealed significant genetic correlations in six cancer-MG pairs, particularly between renal cancer and MG. We identified 162 pleiotropic SNPs corresponding to 30 independent risk loci, with functional enrichment analysis indicating specific expression of these genes in lymphoid tissues.MR analysis demonstrated that early-onset MG was negatively associated with renal cancer risk, whereas late-onset MG was positively associated with breast cancer risk. These findings reveal a shared genetic architecture between cancers and MG, providing new insights into common mechanisms and potential therapeutic strategies.
description: Myasthenia Gravis (MG) and various cancers may share common genetic foundations. This study employed large-scale genetic data to investigate their shared genetic architecture by analyzing genome-wide association study data from nine cancer types and three MG subtypes. Linkage disequilibrium score regression , pleiotropy analysis , and Mendelian randomization were applied. Results revealed significant genetic correlations in six cancer-MG pairs, particularly between renal cancer and MG. We identified 162 pleiotropic SNPs corresponding to 30 independent risk loci, with functional enrichment analysis indicating specific expression of these genes in lymphoid tissues.MR analysis demonstrated that early-onset MG was negatively associated with renal cancer risk, whereas late-onset MG was positively associated with breast cancer risk. These findings reveal a shared genetic architecture between cancers and MG, providing new insights into common mechanisms and potential therapeutic strategies.
DOI: 10.57760/sciencedb.27645
title: Gut microbiota of mice
title: Gut microbiota of mice

description: The sequencing data is the raw data on the intestinal flora of mice, mainly including the blank control group (M1, M2, M3), the duck plague attenuated experimental group (M17, M18, M19) and the maternal vaccine strain (M21, M22, M23).
description: The sequencing data is the raw data on the intestinal flora of mice, mainly including the blank control group (M1, M2, M3), the duck plague attenuated experimental group (M17, M18, M19) and the maternal vaccine strain (M21, M22, M23).
DOI: 10.57760/sciencedb.27640
title: Gut microbiota of duck
title: Gut microbiota of duck

description: The sequencing data is the raw data on the intestinal flora of duck, mainly including the blank control group (D1.1, D1.2, D1.3), the duck plague attenuated experimental group (D5.4, D5.5, D5.6) and the maternal vaccine strain (D9.7, D9.8, D9.9).
description: The sequencing data is the raw data on the intestinal flora of duck, mainly including the blank control group (D1.1, D1.2, D1.3), the duck plague attenuated experimental group (D5.4, D5.5, D5.6) and the maternal vaccine strain (D9.7, D9.8, D9.9).
DOI: 10.57760/sciencedb.27595
title: Gut microbiota of chicken
title: Gut microbiota of chicken

description: The sequencing data is the raw data on the intestinal flora of chickens, mainly including the blank control group (A1, A2, A3), the duck plague attenuated experimental group (A13, A14, A15) and the maternal vaccine strain (A25, A26, A27).
description: The sequencing data is the raw data on the intestinal flora of chickens, mainly including the blank control group (A1, A2, A3), the duck plague attenuated experimental group (A13, A14, A15) and the maternal vaccine strain (A25, A26, A27).
DOI: 10.57760/sciencedb.27623
title: Raw data of 《Electro-deoxidization reduction of Sm2O3 in CaCl2-NaCl molten salts》
title: 《CaCl2-NaCl熔盐中Sm2O3的电脱氧还原研究》的原始数据

description: This dataset is the original data for the paper "Research on Electrodeoxidation Reduction of Sm2O3 in CaCl2 NaCl Molten Salt" 
description: This dataset is the original data for the paper "Research on Electrodeoxidation Reduction of Sm2O3 in CaCl2 NaCl Molten Salt"
DOI: 10.57760/sciencedb.28611
title: This dataset contains the typical result and primer-probe sequences of the Yersenia pestis genotyping assay, and the reproducibility of Tm measurement for the Yersenia pestis genotyping assay, as well as information of strains and plasmids used in this study.
title: This dataset contains the typical result and primer-probe sequences of the Yersenia pestis genotyping assay, and the reproducibility of Tm measurement for the Yersenia pestis genotyping assay, as well as information of strains and plasmids used in this study.

description: The primer-probe sequences of the Y. pestis typing assay to genotype the global and regional Y. pestis (Supporting information 2, Table S4-Table S6).The information of Y. pestis strains (Supporting information 2,Table S1), Y. pseudotuberculosis strain (Supporting information 2,Table S2) and plasmids (Supporting information 2,Table S3) used in our study.The reproducibility of Tm measurement for the Y. pestis genotyping assay. Reproducibility of Tm measurement was assessed for Reactions 1-2 and Reaction 3 using gDNA from seven different global Y. pestis strains and nine regional Y. pestis strains, respectively. Plasmid DNA and the gDNA of one Y. pseudotuberculosis strain was used for the absent melting peaks. Samples at 100 copies/mL were analyzed on three independent instruments, each with three technical replicates. Standard deviation (SD) of the Tm value was calculated for each melting peak (Supporting information 1, Fig S3).The typical result of the Y. pestis genotyping assay (Supporting information 1, Fig S1, Fig S2, and Fig S4).
description: The primer-probe sequences of the Y. pestis typing assay to genotype the global and regional Y. pestis (Supporting information 2, Table S4-Table S6).The information of Y. pestis strains (Supporting information 2,Table S1), Y. pseudotuberculosis strain (Supporting information 2,Table S2) and plasmids (Supporting information 2,Table S3) used in our study.The reproducibility of Tm measurement for the Y. pestis genotyping assay. Reproducibility of Tm measurement was assessed for Reactions 1-2 and Reaction 3 using gDNA from seven different global Y. pestis strains and nine regional Y. pestis strains, respectively. Plasmid DNA and the gDNA of one Y. pseudotuberculosis strain was used for the absent melting peaks. Samples at 100 copies/mL were analyzed on three independent instruments, each with three technical replicates. Standard deviation (SD) of the Tm value was calculated for each melting peak (Supporting information 1, Fig S3).The typical result of the Y. pestis genotyping assay (Supporting information 1, Fig S1, Fig S2, and Fig S4).
DOI: 10.15468/dl.k37z5w
title: Occurrence Download

description: A dataset containing 396043 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Teucrium scorodonia"
 ]
}

 The dataset includes 396043 records from 1962 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054799-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.stapp8
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Field Museum of Natural History (Botany) Fungi Collection",
 "TaxonKey is Lactarius mexicanus A.Kong & Estrada"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179929-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9dijpw
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diapherodes jamaicensis (Drury, 1773)"
 ]
}

 The dataset includes 29 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032999-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6wm59w
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "CatalogNumber" : [
 "is 217880"
 ]
}

 The dataset includes 112 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179953-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.