cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00217.03980
title: Mechanism of Sishen Pill on Ulcerative Colitis based on Network Pharmacology and animal experiments
title: 基于网络药理学及动物实验探讨四神丸治疗溃疡性结肠炎的作用机制

description: Objective To explore the mechanism of action of Sishen Pill in the treatment of Ulcerative colitis (UC) through network pharmacology and animal experiments.Methods TCMSP and BATMAN-TCM databases were used to obtain the components and targets of Sishen Pill; GeneCards, OMIM, and PharmGKB databases obtain UC targets, and Cytoscape 3.8. 2 software builds the "Sishen Pill-Active Ingredient-Intersection Targets" interaction network and PPI network, and performs GO and KEGG enrichment analysis on the intersection targets, and then The core components are molecularly docked with their targets. A mouse model of UC with spleen and kidney yang deficiency was constructed, and Sishen Pill was given intervention treatment. The network pharmacological prediction was verified by WB and RT-qPCR experiments.Results The core components of Sishen Pill in the treatment of UC include quercetin, β-sitosterol, cholecalciferol, delphinium pigment, puerarin, etc. The core targets include IL-6, TP53, EGFR, AKT1, IL1β, etc., and mainly play a role through IL-17, PI3K-Akt, Toll-like receptor, TRP signaling pathway, etc. The core component has good binding performance to the core target; Sishen Pill can reduce the expression of EGFR and IL-6 and increase the expression of p53 in mouse colon tissue.Conclusion Sishen Pill can regulate EGFR, IL-6, p53 and other targets, regulate IL-17, PI3K-Akt, Toll-like receptors, and TRP signaling pathways, reduce inflammatory damage and treat UC.
description: Objective To explore the mechanism of action of Sishen Pill in the treatment of Ulcerative colitis (UC) through network pharmacology and animal experiments.Methods TCMSP and BATMAN-TCM databases were used to obtain the components and targets of Sishen Pill; GeneCards, OMIM, and PharmGKB databases obtain UC targets, and Cytoscape 3.8. 2 software builds the "Sishen Pill-Active Ingredient-Intersection Targets" interaction network and PPI network, and performs GO and KEGG enrichment analysis on the intersection targets, and then The core components are molecularly docked with their targets. A mouse model of UC with spleen and kidney yang deficiency was constructed, and Sishen Pill was given intervention treatment. The network pharmacological prediction was verified by WB and RT-qPCR experiments.Results The core components of Sishen Pill in the treatment of UC include quercetin, β-sitosterol, cholecalciferol, delphinium pigment, puerarin, etc. The core targets include IL-6, TP53, EGFR, AKT1, IL1β, etc., and mainly play a role through IL-17, PI3K-Akt, Toll-like receptor, TRP signaling pathway, etc. The core component has good binding performance to the core target; Sishen Pill can reduce the expression of EGFR and IL-6 and increase the expression of p53 in mouse colon tissue.Conclusion Sishen Pill can regulate EGFR, IL-6, p53 and other targets, regulate IL-17, PI3K-Akt, Toll-like receptors, and TRP signaling pathways, reduce inflammatory damage and treat UC.
DOI: 10.57760/sciencedb.15278
title: Do New Quality Productive Forces Enhance Regional Export Efficiency? --Evidence from China’s Province
title: Do New Quality Productive Forces Enhance Regional Export Efficiency? --Evidence from China’s Province

description: data for Do New Quality Productive Forces Enhance Regional Export Efficiency? --Evidence from China’s Province first part is the DEA database and the second part is the OLS data base
description: data for Do New Quality Productive Forces Enhance Regional Export Efficiency? --Evidence from China’s Province first part is the DEA database and the second part is the OLS data base
DOI: 10.57760/sciencedb.fastro.00014
title: FRB 20190520B FAST dataset (reprocessed by BASSET)
title: FRB 20190520B FAST dataset (reprocessed by BASSET)

description: The Bandpass-Adaptive Single-pulse SEarch Toolkit (BASSET) is a new search toolkit for narrow-band radiation FRBs. Using BASSET, we reprocessed the Five-hundred-meter Aperture Spherical Radio Telescope (FAST) observation data of FRB 20190520B between April 2020 and September 2020. This dataset includes the properties and dynamic spectrum of the newly detected 79 pulses.
description: The Bandpass-Adaptive Single-pulse SEarch Toolkit (BASSET) is a new search toolkit for narrow-band radiation FRBs. Using BASSET, we reprocessed the Five-hundred-meter Aperture Spherical Radio Telescope (FAST) observation data of FRB 20190520B between April 2020 and September 2020. This dataset includes the properties and dynamic spectrum of the newly detected 79 pulses.
DOI: 10.57760/sciencedb.15289
title: FRB 20190520B FAST dataset (reprocessed by BASSET)
title: FRB 20190520B FAST dataset (reprocessed by BASSET)

description: Bandpass-Adaptive Single-pulse SEarch Toolkit (BASSET) is a new search toolkit for narrow-band radiation FRBs. Using BASSET, we reprocessed Five-hundred-meter Aperture Spherical radio Telescope (FAST) observation data of FRB 20190520B between April 2020 and September 2020. This dataset includes the properties and dynamic spectrum of the newly detected 79 bursts.
description: Bandpass-Adaptive Single-pulse SEarch Toolkit (BASSET) is a new search toolkit for narrow-band radiation FRBs. Using BASSET, we reprocessed Five-hundred-meter Aperture Spherical radio Telescope (FAST) observation data of FRB 20190520B between April 2020 and September 2020. This dataset includes the properties and dynamic spectrum of the newly detected 79 bursts.
DOI: 10.57760/sciencedb.15286
title: A dataset on multidimensional regional development inequality in China, covering society, economy, environment, infrastructure, and innovation (1990-2021)
title: 中国1990-2021年社会、经济、环境、基建、创新等多维区域发展不平等数据集

description: This dataset contains four files: (1) Raw data of 13 indicators closely related to society, economy, environment, infrastructure, and innovation at the provincial level in China from 1990 to 2021, including GDP per capita, disposable income per capita, rate of high school graduates and above, density of physicians per 10,000 people, unemployment rate, living space per capita, PM2.5 concentration, carbon emission per capita, urban green space per capita, road density, internet penetration rate, patents granted per capita, and R&D expenditure per capita; (2) Population-weighted coefficient of variation for the 13 indicators; (3) Gini coefficient for the 13 indicators; (4) Moran's I for the 13 indicators.
description: This dataset contains four files: (1) Raw data of 13 indicators closely related to society, economy, environment, infrastructure, and innovation at the provincial level in China from 1990 to 2021, including GDP per capita, disposable income per capita, rate of high school graduates and above, density of physicians per 10,000 people, unemployment rate, living space per capita, PM2.5 concentration, carbon emission per capita, urban green space per capita, road density, internet penetration rate, patents granted per capita, and R&D expenditure per capita; (2) Population-weighted coefficient of variation for the 13 indicators; (3) Gini coefficient for the 13 indicators; (4) Moran's I for the 13 indicators.
DOI: 10.57760/sciencedb.15301
title: Enhancing Phase Unwrapping with GIAU-Net: A Deep Learning Approach
title: Enhancing Phase Unwrapping with GIAU-Net: A Deep Learning Approach

description: datasets and code
description: datasets and code
DOI: 10.57760/sciencedb.15297
title: Supplementary
title: Supplementary

description: 补充的SFigure 2 不同组小鼠的肾脏指数S方法 3 两种多肽细胞毒性的检测SFigure 4 HPLA 的网络药理分析SFigure 5 肽 78 的网络药理分析TableS1 qRT-PCR 引物序列。TableS2 Antibody 用于 western blot （WB）。表S3PFL 代谢成分的鉴定。
description: 补充的SFigure 2 不同组小鼠的肾脏指数S方法 3 两种多肽细胞毒性的检测SFigure 4 HPLA 的网络药理分析SFigure 5 肽 78 的网络药理分析TableS1 qRT-PCR 引物序列。TableS2 Antibody 用于 western blot （WB）。表S3PFL 代谢成分的鉴定。
DOI: 10.57760/sciencedb.15312
title: Journal of Fuel Chemistry and Technology (Chinese and English) 2024-F036 NiO·Mn₀.₃Cd₀.₇S
title: 燃料化学学报2024-F036 NiOMn0.3Cd0.7S

description: The dataset includes the Origin-format graphs with data lists used in the article, high-definition original electron microscope images, and mechanism diagrams.
description: The dataset includes the Origin-format graphs with data lists used in the article, high-definition original electron microscope images, and mechanism diagrams.
DOI: 10.57760/sciencedb.15316
title: ColonData_Article
title: ColonData_Article

description: Data from CRC in the format of an Excel table for publication
description: Data from CRC in the format of an Excel table for publication
DOI: 10.57760/sciencedb.partic.00109
title: Recent advances in Ni-rich layered oxide particle materials for lithium-ion batteries
title: Recent advances in Ni-rich layered oxide particle materials for lithium-ion batteries

description: Ni-rich layered oxides with chemical formula of LiNixCoyMnzO2 or LiNixCoyAlzO2 (x + y + z = 1, x ≥ 0.6) have been considered as promising cathode materials for lithium-ion batteries (LIBs) because of their high specific capacity (≥ 180 mAh g–1) and acceptable manufacture cost. However, the problems associated with high Ni content severely restrict their large-scale applications. In this review, we summarize the recent advances in Ni-rich layered oxide particle materials for LIBs. We begin with the introduction of the structure, redox mechanism, and problems of Ni-rich layered oxides, mainly including residual lithium compounds, gas evolution, rock-salt phase formation, microcrack of particles, dissolution of transition-metal ions, and thermal runaway. Then, four strategies (primary particle engineering, surface coating, doping, concentration gradient design) toward solving the problems of Ni-rich layered oxides will be systematically discussed with the emphasis on structure-performance relationships. To achieve satisfied comprehensive performance and accelerate large-scale applications of Ni-rich layered oxides, the combination of two or more strategies (particle engineering and surface/bulk stabilization techniques) with synergistic effects is necessary in future works. This review would promote further research and application of high-performance Ni-rich layered oxide particle materials for LIBs.
description: Ni-rich layered oxides with chemical formula of LiNixCoyMnzO2 or LiNixCoyAlzO2 (x + y + z = 1, x ≥ 0.6) have been considered as promising cathode materials for lithium-ion batteries (LIBs) because of their high specific capacity (≥ 180 mAh g–1) and acceptable manufacture cost. However, the problems associated with high Ni content severely restrict their large-scale applications. In this review, we summarize the recent advances in Ni-rich layered oxide particle materials for LIBs. We begin with the introduction of the structure, redox mechanism, and problems of Ni-rich layered oxides, mainly including residual lithium compounds, gas evolution, rock-salt phase formation, microcrack of particles, dissolution of transition-metal ions, and thermal runaway. Then, four strategies (primary particle engineering, surface coating, doping, concentration gradient design) toward solving the problems of Ni-rich layered oxides will be systematically discussed with the emphasis on structure-performance relationships. To achieve satisfied comprehensive performance and accelerate large-scale applications of Ni-rich layered oxides, the combination of two or more strategies (particle engineering and surface/bulk stabilization techniques) with synergistic effects is necessary in future works. This review would promote further research and application of high-performance Ni-rich layered oxide particle materials for LIBs.
DOI: 10.6084/m9.figshare.28877855
title: NIT_Student_data

description: This dataset contains 22-channel resting-state EEG recordings collected from healthy students aged 20–30 years at [Your College Name]. The EEG signals were recorded using the Clarity BrainTech EEG machine from clarity-medical.com, configured for high-quality research-grade acquisition.<br>EEG Device and Configuration:Device: Clarity BrainTech EEG System<br>Montage: Bipolar Longitudinal<br>Channels: 22<br>Sampling Rate: 256 Hz<br>Low-Frequency Filter (LF): 1 Hz<br>High-Frequency Filter (HF): 70 Hz<br>Notch Filter: ON (to suppress 50 Hz line noise)<br>Muscle Filter: ON<br>Deflection: 100 mm<br>System Frequency: 50 Hz<br>Calibration Frequency: 1 Hz at 50 µV (Square Wave)Recording Protocol:Participants underwent a structured 13-minute EEG session consisting of:<br>First 5 Minutes: Eyes Closed (EC) — to capture baseline neural activity associated with relaxation.<br>Next 4 Minutes: Eyes Open (EO) — to record neural activity during wakeful rest, minimizing eye movement.<br>Final 4 Minutes: Eyes Closed (EC) — to assess consistency and observe changes in resting-state activity.<br>During the recordings:<br>Participants were seated comfortably.<br>They were instructed to relax, avoid deliberate movements, and minimize cognitive activity.<br>Notes for Users:EEG data files are provided in EDF format (.edf).<br>Preprocessing may be required depending on your analysis pipeline (artifact removal, filtering, epoching, etc.).<br>No clinical conditions are associated with the recordings; all participants self-reported as healthy.
DOI: 10.6084/m9.figshare.28877855.v1
title: NIT_Student_data

description: This dataset contains 22-channel resting-state EEG recordings collected from healthy students aged 20–30 years at [Your College Name]. The EEG signals were recorded using the Clarity BrainTech EEG machine from clarity-medical.com, configured for high-quality research-grade acquisition.<br>EEG Device and Configuration:Device: Clarity BrainTech EEG System<br>Montage: Bipolar Longitudinal<br>Channels: 22<br>Sampling Rate: 256 Hz<br>Low-Frequency Filter (LF): 1 Hz<br>High-Frequency Filter (HF): 70 Hz<br>Notch Filter: ON (to suppress 50 Hz line noise)<br>Muscle Filter: ON<br>Deflection: 100 mm<br>System Frequency: 50 Hz<br>Calibration Frequency: 1 Hz at 50 µV (Square Wave)Recording Protocol:Participants underwent a structured 13-minute EEG session consisting of:<br>First 5 Minutes: Eyes Closed (EC) — to capture baseline neural activity associated with relaxation.<br>Next 4 Minutes: Eyes Open (EO) — to record neural activity during wakeful rest, minimizing eye movement.<br>Final 4 Minutes: Eyes Closed (EC) — to assess consistency and observe changes in resting-state activity.<br>During the recordings:<br>Participants were seated comfortably.<br>They were instructed to relax, avoid deliberate movements, and minimize cognitive activity.<br>Notes for Users:EEG data files are provided in EDF format (.edf).<br>Preprocessing may be required depending on your analysis pipeline (artifact removal, filtering, epoching, etc.).<br>No clinical conditions are associated with the recordings; all participants self-reported as healthy.
DOI: 10.57760/sciencedb.15339
title: Supporting Data Values
title: Supporting Data Values

description: Supporting Data Values
description: Supporting Data Values
DOI: 10.57760/sciencedb.15337
title: Stochastic probabilistic robust control for discrete-time system with parametric uncertainties
title: Stochastic probabilistic robust control for discrete-time system with parametric uncertainties

description: the datasheet of the article
description: the datasheet of the article
DOI: 10.57760/sciencedb.j00133.00406
title: Enterprise Emergency Incident News Dataset
title: 企业突发事件新闻数据集

description: This dataset consists of three xlsx files: Weibo data.xlsx: The microblog data of the pickled Chinese cabbage event in the earthen pit contains 22303 pieces of data, each of which is a piece of microblog content, including 18 fields: id, bid, user_id, user nickname, microblog body, headline url, publishing location, Aite users, topics, forwarding numbers, comments, likes, publishing time, publishing tools, microblog image url, microblog video url, retweet_id, ip. News. xlsx: news data of the pickled Chinese cabbage event in the earthen pit, including 82 pieces of news data in total, each of which contains 5 fields: title, time, source, link, and news body Train data.xlsx: Enterprise Emergency News Training Dataset, consisting of 9 sub tables, each sub table is a case, and each case contains several news articles. The 9 cases contain a total of 113 news data, and each news article contains 5 fields: title, time, source, link, and news body. 
description: This dataset consists of three xlsx files: Weibo data.xlsx: The microblog data of the pickled Chinese cabbage event in the earthen pit contains 22303 pieces of data, each of which is a piece of microblog content, including 18 fields: id, bid, user_id, user nickname, microblog body, headline url, publishing location, Aite users, topics, forwarding numbers, comments, likes, publishing time, publishing tools, microblog image url, microblog video url, retweet_id, ip. News. xlsx: news data of the pickled Chinese cabbage event in the earthen pit, including 82 pieces of news data in total, each of which contains 5 fields: title, time, source, link, and news body Train data.xlsx: Enterprise Emergency News Training Dataset, consisting of 9 sub tables, each sub table is a case, and each case contains several news articles. The 9 cases contain a total of 113 news data, and each news article contains 5 fields: title, time, source, link, and news body.
DOI: 10.57760/sciencedb.j00001.01124
title: VLF to MF Band Classified Lightning Electric Field Change Waveform Dataset
title: VLF至MF频段雷电电场变化波形分类数据集

description: The dataset includes a total of 4 folders, where: the folder labeled as RS contains Cloud-to-ground lightning flash waveform data, with a total of 15290 cases, including *.csv and *.png files, each *.csv corresponding to a *.png; the folder labeled as PB contains preliminary breakdown process waveform data, with a total of 3946 cases; the folder labeled as NB contains narrow bipolar pulse event waveform data, with a total of 3919 cases; the folder labeled as IC contains general intracloud flash waveform data, with a total of 4111 cases.
description: The dataset includes a total of 4 folders, where: the folder labeled as RS contains Cloud-to-ground lightning flash waveform data, with a total of 15290 cases, including *.csv and *.png files, each *.csv corresponding to a *.png; the folder labeled as PB contains preliminary breakdown process waveform data, with a total of 3946 cases; the folder labeled as NB contains narrow bipolar pulse event waveform data, with a total of 3919 cases; the folder labeled as IC contains general intracloud flash waveform data, with a total of 4111 cases.
DOI: 10.5281/zenodo.15288487
title: ALS LiDAR Point Clouds for Shoreline Extraction (Mrzeżyno) - demo data to S-LiNE Toolbox

description: This dataset contains two ALS LiDAR point cloud files collected along the coastline of Mrzeżyno, Poland.Each file is provided in LAS format, corrected for geoid undulations and ready for shoreline extraction and coastal monitoring analysis.

Usage notes:This dataset was selected as test files from aerial LiDAR for shoreline detection using the S-LiNE Toolbox. The files contain original data and are suitable for tasks such as shoreline detection, dune and beach morphology analysis, and shoreline change studies.

Dataset contents:- 76021_1183277_N-33-67-D-a-1-3-2.las- 76021_1183276_N-33-67-D-a-1-3-1.las

Data acquisition:- Coordinate Reference System: EPSG:2180 (ETRS89 / Poland CS92)- Acquisition mode: Airborne survey

Data details:Emblem: N-33-67-D-a-1-3-1Date of update: 2022-04-16Format: LAZ (converted to LAS)Spatial characteristics: 4 p/mAverage height error: 0.15Average position error: 0.30Horizontal coordinate system: PL-1992Vertical coordinate system: PL-EVRF2007-NHArchiving module 1:2500Work report number: GI-FOTO.6202.10.2022Date of inclusion in PZGiK: 2022-10-16

 
description: Data creator: Data downloaded directly from the GUGIK Geoportal (https://www.geoportal.gov.pl/en/data/lidar-measurements-lidar)
DOI: 10.5281/zenodo.15288488
title: ALS LiDAR Point Clouds for Shoreline Extraction (Mrzeżyno) - demo data to S-LiNE Toolbox

description: This dataset contains two ALS LiDAR point cloud files collected along the coastline of Mrzeżyno, Poland.Each file is provided in LAS format, corrected for geoid undulations and ready for shoreline extraction and coastal monitoring analysis.

Usage notes:This dataset was selected as test files from aerial LiDAR for shoreline detection using the S-LiNE Toolbox. The files contain original data and are suitable for tasks such as shoreline detection, dune and beach morphology analysis, and shoreline change studies.

Dataset contents:- 76021_1183277_N-33-67-D-a-1-3-2.las- 76021_1183276_N-33-67-D-a-1-3-1.las

Data acquisition:- Coordinate Reference System: EPSG:2180 (ETRS89 / Poland CS92)- Acquisition mode: Airborne survey

Data details:Emblem: N-33-67-D-a-1-3-1Date of update: 2022-04-16Format: LAZ (converted to LAS)Spatial characteristics: 4 p/mAverage height error: 0.15Average position error: 0.30Horizontal coordinate system: PL-1992Vertical coordinate system: PL-EVRF2007-NHArchiving module 1:2500Work report number: GI-FOTO.6202.10.2022Date of inclusion in PZGiK: 2022-10-16

 
description: Data creator: Data downloaded directly from the GUGIK Geoportal (https://www.geoportal.gov.pl/en/data/lidar-measurements-lidar)
DOI: 10.57760/sciencedb.15378
title: sc-RNA sequeceing analysis of the dynamic changes in endothelial and other cell types during the progression of pancreatitis
title: sc-RNA sequeceing analysis of the dynamic changes in endothelial and other cell types during the progression of pancreatitis

description: sc-RNA sequeceing analysis of the dynamic changes in endothelial and other cell types during the progression of pancreatitis.
description: sc-RNA sequeceing analysis of the dynamic changes in endothelial and other cell types during the progression of pancreatitis.
DOI: 10.57760/sciencedb.15440
title: Spatial correlation of CO2 emissions in major Chinese cities based on gravity model
title: Spatial correlation of CO2 emissions in major Chinese cities based on gravity model

description: This dataset is the gravity model result of CO2 emissions from 31 cities in China from 2019 to 2022. The original data was generated from https://carbonmonitor-graced.com/. The method used is an improved gravity model (detailed information can be found in the data). This data is time accurate in years and include CO2 emissions from Total, Power and Industry sectors.
description: This dataset is the gravity model result of CO2 emissions from 31 cities in China from 2019 to 2022. The original data was generated from https://carbonmonitor-graced.com/. The method used is an improved gravity model (detailed information can be found in the data). This data is time accurate in years and include CO2 emissions from Total, Power and Industry sectors.
DOI: 10.57760/sciencedb.15450
title: Data of Probing Berry phase effect in topological surface states
title: 探测拓扑表面态中的Berry相位效应数据

description: Experimental data and simulation results of Probing Berry phase effect in topological surface states
description: Experimental data and simulation results of Probing Berry phase effect in topological surface states
DOI: 10.57760/sciencedb.15473
title: Fracture Behavior of Hot Dry Rock Fissures Driven by Load and Fluid in a 3D Crystal Model
title: Fracture Behavior of Hot Dry Rock Fissures Driven by Load and Fluid in a 3D Crystal Model

description: This file is the dataset associated with the manuscript by Li et al., titled "Fracture Behavior of Hot Dry Rock Fissures Driven by Load and Fluid in a 3D Crystal Model." It includes the experimental results presented in the manuscript, as well as numerical simulation data from uniaxial compression and hydraulic fracturing tests.
description: This file is the dataset associated with the manuscript by Li et al., titled "Fracture Behavior of Hot Dry Rock Fissures Driven by Load and Fluid in a 3D Crystal Model." It includes the experimental results presented in the manuscript, as well as numerical simulation data from uniaxial compression and hydraulic fracturing tests.