cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.13858
title: Nobiletin and CaSR
title: Nobiletin and CaSR

description: The HPH rat model was constructed by 6-weeks consecutive hypoxia. Nobiletin or Sildenafil was administered daily via gavage for a duration of 2-weeks. Subsequently, hemodynamic parameters, HE staining and Masson staining, cytoplasmic calcium level of pulmonary arterial smooth muscle cells (PASMCs) were measured. Additionally, cellular thermal shift assays (CETSA), cell migration and proliferation assays, and immunoblotting were performed to explore the therapeutic effects and underlying mechanisms of Nobiletin on HPH in rats.
description: The HPH rat model was constructed by 6-weeks consecutive hypoxia. Nobiletin or Sildenafil was administered daily via gavage for a duration of 2-weeks. Subsequently, hemodynamic parameters, HE staining and Masson staining, cytoplasmic calcium level of pulmonary arterial smooth muscle cells (PASMCs) were measured. Additionally, cellular thermal shift assays (CETSA), cell migration and proliferation assays, and immunoblotting were performed to explore the therapeutic effects and underlying mechanisms of Nobiletin on HPH in rats.
DOI: 10.57760/sciencedb.j00186.00360
title: A special core-shell material (Mxene@Ag@Phytate) to improve EVA composite fire safety, radiation crosslinking effect, and electromagnetic shielding
title: A special core-shell material (Mxene@Ag@Phytate) to improve EVA composite fire safety, radiation crosslinking effect, and electromagnetic shielding

description: High-performance MXene-based polymer nanocomposites are well suited for various industrial applications due to their excellent mechanical, thermal and other properties. However, fabrication of flame-retardant polymer/MXene nanocomposites remains a challenging task due to the limited flame-retardant properties of MXene itself. In this study, a novel MXene@Ag@PA hybrid material was prepared by radiation modification and complexation reaction, which can be used to further enhance the key properties of ethylene vinyl acetate (EVA), such as mechanical properties, thermal conductivity, flame retardancy and electromagnetic shielding. The addition of two parts of this hybrid material increases the thermal conductivity of EVA by 44.2% and reduces its peak exothermic rate during combustion by 30.1% compared to pure EVA. The material also significantly reduced smoke production and increased residue content. In the X-band, the electromagnetic shielding effectiveness of the EVA composites can reach 20 dB, and we also found that the MXene@Ag@PA hybrid material can be used to further enhance the mechanical properties of EVA composites under electron beam irradiation. This study contributes to the development of MXene-based EVA advanced materials that are fire-safe, high-strength, and have good electromagnetic shielding performance for various applications.
description: High-performance MXene-based polymer nanocomposites are well suited for various industrial applications due to their excellent mechanical, thermal and other properties. However, fabrication of flame-retardant polymer/MXene nanocomposites remains a challenging task due to the limited flame-retardant properties of MXene itself. In this study, a novel MXene@Ag@PA hybrid material was prepared by radiation modification and complexation reaction, which can be used to further enhance the key properties of ethylene vinyl acetate (EVA), such as mechanical properties, thermal conductivity, flame retardancy and electromagnetic shielding. The addition of two parts of this hybrid material increases the thermal conductivity of EVA by 44.2% and reduces its peak exothermic rate during combustion by 30.1% compared to pure EVA. The material also significantly reduced smoke production and increased residue content. In the X-band, the electromagnetic shielding effectiveness of the EVA composites can reach 20 dB, and we also found that the MXene@Ag@PA hybrid material can be used to further enhance the mechanical properties of EVA composites under electron beam irradiation. This study contributes to the development of MXene-based EVA advanced materials that are fire-safe, high-strength, and have good electromagnetic shielding performance for various applications.
DOI: 10.57760/sciencedb.13859
title: Results from whole genome sequencing of isolated viruses.
title: 分离病毒的全基因组测序结果

description: To explore the genetic evolution of H9N2 IAV in East China, this study conducted a collection of 436 samples and swabs from various breeding enterprises and farmers in the region between 2018 and 2019. Among these samples, 50 tested positive for the H9 subtype, leading to the purification of 31 virus strains via limited dilution within chicken embryos. The following file contains the whole genome sequencing results of the isolated viruses.
description: To explore the genetic evolution of H9N2 IAV in East China, this study conducted a collection of 436 samples and swabs from various breeding enterprises and farmers in the region between 2018 and 2019. Among these samples, 50 tested positive for the H9 subtype, leading to the purification of 31 virus strains via limited dilution within chicken embryos. The following file contains the whole genome sequencing results of the isolated viruses.
DOI: 10.57760/sciencedb.j00133.00363
title: Automated Review of Academic Literature Generation and Assessment Dataset
title: 学术文献自动综述生成及评估数据集

description: This dataset is the supporting data for the paper ‘Research on Intelligent Generation and Evidence Based of Literature Review Based on Large Language Model’, including the following four files:1. self-constructed academic literature language step-level literature review dataset. Literature abstracts in Chinese Peking University core journals and English SCI journals are selected as the data source, and step-level abstracts under the same subject term are obtained through step recognition and vector search, and the step-level literature review dataset is generated based on multiple abstracts using a big language model with manual review and revision for fine-tuning the local big language model.2. results were obtained using the baseline models ChatGLM3-6B and GLM-3-Turbo, GPT-3.5-turbo, and the fine-tuned model GLM-Lora for simultaneous literature review generation of the validation set.3. using the manually reviewed original review as the reference text, the generated results of different models were evaluated using TF-IDF weighted cosine similarity, BLEU, ROUGE metrics.4. large model assessment of the generated results of different models using GEMINI-Pro, GPT-4 and also GPT-4 for authenticity assessment.
description: This dataset is the supporting data for the paper ‘Research on Intelligent Generation and Evidence Based of Literature Review Based on Large Language Model’, including the following four files:1. self-constructed academic literature language step-level literature review dataset. Literature abstracts in Chinese Peking University core journals and English SCI journals are selected as the data source, and step-level abstracts under the same subject term are obtained through step recognition and vector search, and the step-level literature review dataset is generated based on multiple abstracts using a big language model with manual review and revision for fine-tuning the local big language model.2. results were obtained using the baseline models ChatGLM3-6B and GLM-3-Turbo, GPT-3.5-turbo, and the fine-tuned model GLM-Lora for simultaneous literature review generation of the validation set.3. using the manually reviewed original review as the reference text, the generated results of different models were evaluated using TF-IDF weighted cosine similarity, BLEU, ROUGE metrics.4. large model assessment of the generated results of different models using GEMINI-Pro, GPT-4 and also GPT-4 for authenticity assessment.
DOI: 10.57760/sciencedb.13882
title: Stock Data
title: Stock Data

description: The data consists of daily prices from 66 Brazilian stocks, covering the period from August 2014 to August 2024. These figures will be analyzed in the context of the article titled "The Role of Tail Dependence on the Half-life of Cointegrated Asset Pairs: A Copula-Based Analysis." This extensive dataset provides a rich basis for studying the behavior of asset pairs in terms of their long-term equilibrium, focusing on tail dependence and the speed of reversion to equilibrium (half-life) after deviations.
description: The data consists of daily prices from 66 Brazilian stocks, covering the period from August 2014 to August 2024. These figures will be analyzed in the context of the article titled "The Role of Tail Dependence on the Half-life of Cointegrated Asset Pairs: A Copula-Based Analysis." This extensive dataset provides a rich basis for studying the behavior of asset pairs in terms of their long-term equilibrium, focusing on tail dependence and the speed of reversion to equilibrium (half-life) after deviations.
DOI: 10.57760/sciencedb.13884
title: Combined analysis results of metabolites and differentially expressed proteins
title: Combined analysis results of metabolites and differentially expressed proteins

description: Multi-omics research mainly consists of two parts: 1) association analysis based on statistical methods; 2) association analysis based on metabolic pathway analysis.(I) Association heat mapThe correlation and p-value of two omics data are calculated by Pearson Correlation analysis, and the table shown below is obtained (see "cor.csv" for details)II) Association scatter plotBy calculating the correlation of two omics data for each sample, the distribution of different samples is examined, and a linear regression equation is constructed to calculate the correlation coefficient (as shown in the figure).
description: Multi-omics research mainly consists of two parts: 1) association analysis based on statistical methods; 2) association analysis based on metabolic pathway analysis.(I) Association heat mapThe correlation and p-value of two omics data are calculated by Pearson Correlation analysis, and the table shown below is obtained (see "cor.csv" for details)II) Association scatter plotBy calculating the correlation of two omics data for each sample, the distribution of different samples is examined, and a linear regression equation is constructed to calculate the correlation coefficient (as shown in the figure).
DOI: 10.57760/sciencedb.13892
title: Monthly multi-year average snow density grid dataset on the Tibetan Plateau
title: 青藏高原逐月多年平均积雪密度格点数据集

description: Snow density is an important parameter to characterize the characteristics of snow cover, and it is also an important index for converting snow depth into snow water equivalent, which plays an important role in the estimation of snow water resources in mountainous areas, the management of water resources such as snowmelt floods, natural disaster forecasting, and climate research. Taking the data from 132 day-by-day national meteorological stations on the Tibetan Plateau from 1960 to 2020, the Chinese regional surface meteorological element-driven dataset, and the satellite-fused snow depth dataset as the main data sources, comparing the performance of several machine learning models in the simulation of snow density by different surface types, and selecting the optimal model, we integrated the ground, satellite, and reanalysis data to produce the Tibetan Plateau Monthly snow density dataset is produced for the Tibetan Plateau. An accuracy check with month-by-month multi-year average snow density data from 132 national meteorological observatories on the Tibetan Plateau found that, the average root mean square error is 0.019 g/cm3, and the average relative error is 11.88%, indicating that the data has high accuracy. This dataset will provide data support for water resources assessment and hydrological process simulation on the Tibetan Plateau.
description: Snow density is an important parameter to characterize the characteristics of snow cover, and it is also an important index for converting snow depth into snow water equivalent, which plays an important role in the estimation of snow water resources in mountainous areas, the management of water resources such as snowmelt floods, natural disaster forecasting, and climate research. Taking the data from 132 day-by-day national meteorological stations on the Tibetan Plateau from 1960 to 2020, the Chinese regional surface meteorological element-driven dataset, and the satellite-fused snow depth dataset as the main data sources, comparing the performance of several machine learning models in the simulation of snow density by different surface types, and selecting the optimal model, we integrated the ground, satellite, and reanalysis data to produce the Tibetan Plateau Monthly snow density dataset is produced for the Tibetan Plateau. An accuracy check with month-by-month multi-year average snow density data from 132 national meteorological observatories on the Tibetan Plateau found that, the average root mean square error is 0.019 g/cm3, and the average relative error is 11.88%, indicating that the data has high accuracy. This dataset will provide data support for water resources assessment and hydrological process simulation on the Tibetan Plateau.
DOI: 10.15468/dl.48pssz
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((33.57137 31.31358,37.61593 31.31358,37.61593 32.93071,33.57137 32.93071,33.57137 31.31358))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asclepias curassavica L."
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001112-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.13905
title: Intraoperative ventricular arrhythmia (IOVA)
title: Intraoperative ventricular arrhythmia (IOVA)

description: This dataset included a single-center cohort which patients were undergoing isolated off-pump coronary artery bypass grafting. We not only collected the basic information of patients before surgery, but also recorded partial severe postoperative complications.
description: This dataset included a single-center cohort which patients were undergoing isolated off-pump coronary artery bypass grafting. We not only collected the basic information of patients before surgery, but also recorded partial severe postoperative complications.
DOI: 10.57760/sciencedb.psych.00297
title: A dataset of psychological connotation and structure of Chinese adolescents' views on wealth and poverty
title: 中国青少年贫富观的心理内涵与结构的数据集

description: The dataset is divided into two parts: the first part is the data used in the compilation of the questionnaire on the observed wealth of Chinese adolescents; the second part is the data used to explore the structural evolution of adolescents' views on wealth and poverty and the stability of its core dimensions across time
description: The dataset is divided into two parts: the first part is the data used in the compilation of the questionnaire on the observed wealth of Chinese adolescents; the second part is the data used to explore the structural evolution of adolescents' views on wealth and poverty and the stability of its core dimensions across time
DOI: 10.57760/sciencedb.13912
title: The materials for SPR and Reading times data
title: The materials for SPR and Reading times data

description: The materials for SPR and Reading times data
description: The materials for SPR and Reading times data
DOI: 10.57760/sciencedb.13914
title: Data for "Exploring potential environmental drivers of migration phenology in two Mongolian Plateau-nesting goose species"
title: Data for "Exploring potential environmental drivers of migration phenology in two Mongolian Plateau-nesting goose species"

description: We used 208 spring and 248 autumn migration telemetry data from individually tagged Swan Geese Anser cygnoides (SG) and Greylag Geese A. anser (GG) from four geographically discrete breeding groups across the Mongolian Plateau. We analyzed the difference in their migratory time, how they followed nine environmental metrics as indicators of environmental change, and the probability of spring arrival and autumn departure.
description: We used 208 spring and 248 autumn migration telemetry data from individually tagged Swan Geese Anser cygnoides (SG) and Greylag Geese A. anser (GG) from four geographically discrete breeding groups across the Mongolian Plateau. We analyzed the difference in their migratory time, how they followed nine environmental metrics as indicators of environmental change, and the probability of spring arrival and autumn departure.
DOI: 10.57760/sciencedb.13922
title: The data for the manuscript "Multiple simultaneously-presented subliminal arrows have an additive unconscious priming effect on the target arrow only when pointing in different directions"
title: The data for the manuscript "Multiple simultaneously-presented subliminal arrows have an additive unconscious priming effect on the target arrow only when pointing in different directions"

description: The data includes the accuracy of each participant in the forced-choice task in every experiment, as well as the accuracy and reaction time for each experimental condition in each unconscious priming experiment.
description: The data includes the accuracy of each participant in the forced-choice task in every experiment, as well as the accuracy and reaction time for each experimental condition in each unconscious priming experiment.
DOI: 10.57760/sciencedb.13948
title: macaque-MRI-scans
title: macaque-MRI-scans

description: structural MRI data of rhesus macaque aged 0-18 years
description: structural MRI data of rhesus macaque aged 0-18 years
DOI: 10.57760/sciencedb.13958
title: The code for paper "Long-term memory updating parallels altered awake and sleep hippocampal replays"
title: The code for paper "Long-term memory updating parallels altered awake and sleep hippocampal replays"

description: The code for paper "Long-term memory updating parallels altered awake and sleep hippocampal replays"
description: The code for paper "Long-term memory updating parallels altered awake and sleep hippocampal replays"
DOI: 10.57760/sciencedb.13969
title: Blood biochemical indexes and coronary angiography data of patients with coronary heart disease in Yichang City, Hubei Province, China
title: 中国湖北省宜昌市冠心病患者血生化指标及冠脉造影数据统计

description: This dataset collected the basic data, blood routine, blood biochemistry and coronary angiography results, Gensini score, IVUS plaque load and other data of 301 patients with coronary heart disease.
description: This dataset collected the basic data, blood routine, blood biochemistry and coronary angiography results, Gensini score, IVUS plaque load and other data of 301 patients with coronary heart disease.
DOI: 10.15468/dl.xm4xk9
title: Occurrence Download

description: A dataset containing 251615 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Système d’évaluation de l’état des Eaux (SEEE) - Données hydrobiologiques sur l'état des eaux de surface - Système d’évaluation de l’état des Eaux (SEEE) - Diatomées"
 ]
}

 The dataset includes 251615 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001116-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00186.00362
title: Electronic thermal conductivity data of tungsten based system in cascade collision process calculated by tight binding potential model
title: 紧束缚势模型计算得到的级联碰撞过程中钨基体系的电子热导率数据

description: The dataset consists of atomic structure data from tightly bound molecular dynamics simulations of cascade processes, as well as corresponding electrical conductivity, electronic thermal conductivity, and electron mean free path data. It contains data under different cascade conditions, including different initial kinetic energies of primary collision atoms, different numbers of hydrogen atoms, different temperatures, and the presence of grain boundaries in the system. 
description: The dataset consists of atomic structure data from tightly bound molecular dynamics simulations of cascade processes, as well as corresponding electrical conductivity, electronic thermal conductivity, and electron mean free path data. It contains data under different cascade conditions, including different initial kinetic energies of primary collision atoms, different numbers of hydrogen atoms, different temperatures, and the presence of grain boundaries in the system.
DOI: 10.57760/sciencedb.j00133.00367
title: Disease association model dataset
title: 疾病关联模型数据集

description: Disease keywords and word frequency information of biomedical literature obtained by the research, medical knowledge sentences included in the study, and the relationship between CMeSH subject words and tree numbers.
description: Disease keywords and word frequency information of biomedical literature obtained by the research, medical knowledge sentences included in the study, and the relationship between CMeSH subject words and tree numbers.
DOI: 10.57760/sciencedb.13993
title: Mechanism and Quantitative ModellingModeling of the SRAM’s Soft Error Induced by Space Electrostatic Discharge
title: Mechanism and Quantitative ModellingModeling of the SRAM’s Soft Error Induced by Space Electrostatic Discharge

description: The study investigates the characteristics, sensitive regions, failure mechanism, and quantitative model of SRAM’s “soft errors” caused by Spacecraft charging induced Electrostatic Discharge (SESD) in HSPICE simulation. The results showed that the bit ‘1-0’ upset was manifested as one of the main characteristics of the soft errors caused by the SESD. The SESD sensitive regions were located at the sense amplifier (AMP) and the 6T Bit-cell array with the SESD injecting at power supply nodes. The reduction of the voltage difference between the two output nodes to offset voltage in AMP and the recoverable breakdown in 6T-cell’s P-channel Metal Oxide Semiconductor (PMOS) induced by the SESD transients are the main failure mechanisms. The quantization calculation model of the “soft error” induced by SESD for SRAM was established using MATLAB according to its failure mechanism, which bridged the characteristics of SESD transient with SRAM’s “soft error” to quickly evaluate the SESD errors. In addition, the quantization model was preliminarily verified by the SESD experiments.
description: The study investigates the characteristics, sensitive regions, failure mechanism, and quantitative model of SRAM’s “soft errors” caused by Spacecraft charging induced Electrostatic Discharge (SESD) in HSPICE simulation. The results showed that the bit ‘1-0’ upset was manifested as one of the main characteristics of the soft errors caused by the SESD. The SESD sensitive regions were located at the sense amplifier (AMP) and the 6T Bit-cell array with the SESD injecting at power supply nodes. The reduction of the voltage difference between the two output nodes to offset voltage in AMP and the recoverable breakdown in 6T-cell’s P-channel Metal Oxide Semiconductor (PMOS) induced by the SESD transients are the main failure mechanisms. The quantization calculation model of the “soft error” induced by SESD for SRAM was established using MATLAB according to its failure mechanism, which bridged the characteristics of SESD transient with SRAM’s “soft error” to quickly evaluate the SESD errors. In addition, the quantization model was preliminarily verified by the SESD experiments.