cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.23327
title: Reaction Characteristics of CO2 Oxidative Dehydrogenation of Propane Based on Non-thermal Plasma
title: 基于低温等离子体的CO2氧化丙烷脱氢反应特性

description: Chart data of single factor experiment and response surface optimization method 
description: Chart data of single factor experiment and response surface optimization method
DOI: 10.57760/sciencedb.23357
title: ESCO2 Promotes Breast Cancer Progression via AKTmTOR Signaling A Potential Therapeutic Target-Raw data
title: ESCO2 Promotes Breast Cancer Progression via AKTmTOR Signaling A Potential Therapeutic Target-Raw data

description: The role of ESCO2 in breast cancer has not been thoroughly investigated. In this study, lentiviral transfection was used to regulate ESCO2 expression in breast cancer cells, and related experiments were conducted to investigate the impact of ESCO2 on breast cancer proliferation and metastasis. Western blot (WB) was employed to analyze changes in ESCO2 expression levels and alterations in AKT/mTOR pathway proteins. The EdU assay demonstrated the effect of ESCO2 on breast cancer proliferation. Transwell and wound-healing assays revealed the influence of ESCO2 on the migration and invasion capabilities of breast cancer cells. Breast cancer cells with knocked-down ESCO2 were transplanted subcutaneously and via the tail vein into nude mice, and the effects of ESCO2 on breast cancer proliferation and metastasis were observed through HE, TUNEL, and ki67 staining. This dataset comprises the original data for the paper titled "ESCO2 Promotes Breast Cancer Progression via AKT/mTOR Signaling: A Potential Therapeutic Target." The filenames correspond to the respective experiments.
description: The role of ESCO2 in breast cancer has not been thoroughly investigated. In this study, lentiviral transfection was used to regulate ESCO2 expression in breast cancer cells, and related experiments were conducted to investigate the impact of ESCO2 on breast cancer proliferation and metastasis. Western blot (WB) was employed to analyze changes in ESCO2 expression levels and alterations in AKT/mTOR pathway proteins. The EdU assay demonstrated the effect of ESCO2 on breast cancer proliferation. Transwell and wound-healing assays revealed the influence of ESCO2 on the migration and invasion capabilities of breast cancer cells. Breast cancer cells with knocked-down ESCO2 were transplanted subcutaneously and via the tail vein into nude mice, and the effects of ESCO2 on breast cancer proliferation and metastasis were observed through HE, TUNEL, and ki67 staining. This dataset comprises the original data for the paper titled "ESCO2 Promotes Breast Cancer Progression via AKT/mTOR Signaling: A Potential Therapeutic Target." The filenames correspond to the respective experiments.
DOI: 10.57760/sciencedb.23362
title: Three types of data used for UFZ mapping in the GBA
title: Three types of data used for UFZ mapping in the GBA

description: Three types of data are used to support UFZ mapping in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA),including POI data, HSR images and road networks.They share the same projected coordinate System,WGS84 Web Mercator.The POI data were extracted from a Chinese online map platform, AutoNavi Map (https://lbs.amap.com/), in January 2024, totalling 1,927,094 records. Each record included latitude, longitude, and attribute information of categories.The HSR images included Jilin-1 satellite images and Google Earth images, which were collected around January 2024 and covered all cities in the GBA. All HSR images had a spatial resolution of 1 meter and included red, blue and green bands.The road networks were downloaded from OpenStreetMap as vector data, which included hierarchical information, arranged in descending order as: 'primary roads', 'secondary roads', 'tertiary roads', 'minor roads', and 'other roads'.HSR images and POI data are used to provide visual and social-economic information,which is crucial for UFZ mapping.Manual feature or deep feature could be extracted from HSR images and POI data.Road vectors are used to generate UFZ spatial units, which feature multi-level structure. On a practical basis, the road networks could be used to generate UFZ units of different scales 
description: Three types of data are used to support UFZ mapping in the Guangdong-Hong Kong-Macao Greater Bay Area(GBA),including POI data, HSR images and road networks.They share the same projected coordinate System,WGS84 Web Mercator.The POI data were extracted from a Chinese online map platform, AutoNavi Map (https://lbs.amap.com/), in January 2024, totalling 1,927,094 records. Each record included latitude, longitude, and attribute information of categories.The HSR images included Jilin-1 satellite images and Google Earth images, which were collected around January 2024 and covered all cities in the GBA. All HSR images had a spatial resolution of 1 meter and included red, blue and green bands.The road networks were downloaded from OpenStreetMap as vector data, which included hierarchical information, arranged in descending order as: 'primary roads', 'secondary roads', 'tertiary roads', 'minor roads', and 'other roads'.HSR images and POI data are used to provide visual and social-economic information,which is crucial for UFZ mapping.Manual feature or deep feature could be extracted from HSR images and POI data.Road vectors are used to generate UFZ spatial units, which feature multi-level structure. On a practical basis, the road networks could be used to generate UFZ units of different scales
DOI: 10.57760/sciencedb.j00240.00039
title: ESLD: eyes segment and landmark detection in the wild
title: 自然光普通摄像头的眼部分割及特征点定位数据集ESLD

description: An eye region segmentation and landmark detection dataset can resolve the issue of mismatch results between the indoor and outdoor scenarios. Our research focuses on collection and annotation of a new eye region segment and landmark detection dataset (eye segment and landmark detection dataset, ESLD) in constraint of dataset for fine landmark detection and eye region, which contain multiple types of eye. 
description: An eye region segmentation and landmark detection dataset can resolve the issue of mismatch results between the indoor and outdoor scenarios. Our research focuses on collection and annotation of a new eye region segment and landmark detection dataset (eye segment and landmark detection dataset, ESLD) in constraint of dataset for fine landmark detection and eye region, which contain multiple types of eye.
DOI: 10.57760/sciencedb.23371
title: Temporal contrast enhancement by self-phase modulation in a multi-pass cell with excellent beam quality and pointing stability
title: 基于MPC的对比度提升

description: We demonstrate the temporal contrast enhancement via self-phase modulation followed by spectral filtering in a gas-filled multi-pass cell (MPC). The performance of the temporal cleaning device has been thoroughly investigated, covering spectral broadening, efficiency, temporal contrast enhancement, power stability, beam quality and beam pointing stability. The total efficiency of our device exceeding 30%, with a pulse energy of 555 μJ. The temporal contrast of the filtered pulse enhances more than two orders of magnitude, which surpassing 109. The filtered laser beam exhibits excellent beam quality and pointing stability with M2 values of 1.12 ×1.14 and angular pointing stability of 1.90 μrad×2.05 μrad. This method, followed by a second-stage spectral broadening unit, can be easily applied to ultra-broadband high peak power laser systems, with such high beam quality, excellent power stability and amazing pointing stability. 
description: We demonstrate the temporal contrast enhancement via self-phase modulation followed by spectral filtering in a gas-filled multi-pass cell (MPC). The performance of the temporal cleaning device has been thoroughly investigated, covering spectral broadening, efficiency, temporal contrast enhancement, power stability, beam quality and beam pointing stability. The total efficiency of our device exceeding 30%, with a pulse energy of 555 μJ. The temporal contrast of the filtered pulse enhances more than two orders of magnitude, which surpassing 109. The filtered laser beam exhibits excellent beam quality and pointing stability with M2 values of 1.12 ×1.14 and angular pointing stability of 1.90 μrad×2.05 μrad. This method, followed by a second-stage spectral broadening unit, can be easily applied to ultra-broadband high peak power laser systems, with such high beam quality, excellent power stability and amazing pointing stability.
DOI: 10.57760/sciencedb.23375
title: The Longitudinal Impact of Perspective-Taking on Subjective Sense of Fit of College Students: A Moderated Mediation Model
title: 观点采择对大学生主观适应性的纵向影响：一个有调节的中介模型

description: This dataset was collected using paper questionnaires and entered into a spreadsheet (Excel), followed by data analysis using SPSS 24.0 and Mplus 8.3. The data collection period is from December 2020 to December 2022, divided into three times with an interval of one year each time, including subject number, gender, and information on each variable. The variable names are PT - Perspective-Taking, G-Gratitude, SS - Subjective Sense of Fit, and PPU - Problematic Mobile Phone Use. T1, T2, and T3 are used to represent the data collected from the first to third times, and the standardized variable data is used to calculate the average value, which is represented as pt1 pt2、pt3、g2、ppu2、ss1、ss2、ss3。 This dataset is the final version of the integrated data. 
description: This dataset was collected using paper questionnaires and entered into a spreadsheet (Excel), followed by data analysis using SPSS 24.0 and Mplus 8.3. The data collection period is from December 2020 to December 2022, divided into three times with an interval of one year each time, including subject number, gender, and information on each variable. The variable names are PT - Perspective-Taking, G-Gratitude, SS - Subjective Sense of Fit, and PPU - Problematic Mobile Phone Use. T1, T2, and T3 are used to represent the data collected from the first to third times, and the standardized variable data is used to calculate the average value, which is represented as pt1 pt2、pt3、g2、ppu2、ss1、ss2、ss3。 This dataset is the final version of the integrated data.
DOI: 10.57760/sciencedb.23381
title: Survey on Advertising Preferences of Tea Beverage Brands
title: 茶饮品牌广告偏好调查问卷

description: This document is a questionnaire survey aimed at understanding users' feelings and impressions of using narrative dynamic design in tea beverage brand advertising, as well as their expectations and needs for the future of dynamic design in tea beverage brands. Using this questionnaire to explore the application of dynamic design in tea beverage brands and evaluate the dissemination effect of dynamic advertising. 
description: This document is a questionnaire survey aimed at understanding users' feelings and impressions of using narrative dynamic design in tea beverage brand advertising, as well as their expectations and needs for the future of dynamic design in tea beverage brands. Using this questionnaire to explore the application of dynamic design in tea beverage brands and evaluate the dissemination effect of dynamic advertising.
DOI: 10.57760/sciencedb.j00214.00170
title: Monetary Policy, Stock Price and Asymmetry in China: A Comparative Research Based on Econometrics and Artificial Intelligence Methods
title: 中国货币政策、股票价格与非对称性——基于计量经济学与人工智能方法的比较研究

description: Stock price fluctuations are crucial for the healthy and stable development of the stock market. However, the econometrics methods, which have traditionally demonstrated strong performance in addressing nearly all economic issues, exhibit limitations specifically in stock-related analyses-a gap that has only begun to be addressed with the emergence of artificial intelligence methods as cutting-edge applications in this field. Building on this foundation, this study integrates theoretical economic frameworks with empirical methodologies across disciplines to undertake a comparative investigation into the impact of monetary policy on stock prices and its associated asymmetric effects in China. The findings reveal that econometric models (VAR and MS-VAR) yield only partially satisfactory results in analyzing this issue, whereas the artificial intelligence-driven LSTM model demonstrates good explanatory power. Monetary policy exerts asymmetric effects on stock prices: expansionary policies during bear markets show greater efficacy than contractionary measures during bull markets. Additionally, the transmission effect of rising prices on stock price is stronger, and the drag of economic recession on stock price is more pronounced. This study provides insights for the monetary policy interventions and offers practical guidance for the application of interdisciplinary methodological approaches in addressing complex economic issues. 
description: Stock price fluctuations are crucial for the healthy and stable development of the stock market. However, the econometrics methods, which have traditionally demonstrated strong performance in addressing nearly all economic issues, exhibit limitations specifically in stock-related analyses-a gap that has only begun to be addressed with the emergence of artificial intelligence methods as cutting-edge applications in this field. Building on this foundation, this study integrates theoretical economic frameworks with empirical methodologies across disciplines to undertake a comparative investigation into the impact of monetary policy on stock prices and its associated asymmetric effects in China. The findings reveal that econometric models (VAR and MS-VAR) yield only partially satisfactory results in analyzing this issue, whereas the artificial intelligence-driven LSTM model demonstrates good explanatory power. Monetary policy exerts asymmetric effects on stock prices: expansionary policies during bear markets show greater efficacy than contractionary measures during bull markets. Additionally, the transmission effect of rising prices on stock price is stronger, and the drag of economic recession on stock price is more pronounced. This study provides insights for the monetary policy interventions and offers practical guidance for the application of interdisciplinary methodological approaches in addressing complex economic issues.
DOI: 10.57760/sciencedb.23396
title: Indicators of functional support of special performance
title: Indicators of functional support of special performance

description: Based on the modelings of the modes of training work in the process of overcoming the competitive distance of 1000 m by qualified athletes, a basic mesocycle program was developed for athletes who specialize in the distance of 1000 m in canoeing, the program included structural, target, content and criterion-evaluation blocks. The program of the basic mesocycle using the developed MTS (Mode of Training Sessions) for athletes of different typological groups in canoeingThe basis of the program was the application of 14 models of training regimes, developed taking into account the features and characteristics of overcoming a competitive distance of 1000 m by qualified athletes in canoeing .To determine the effectiveness of the developed program, two groups of athletes were formed: BGK (the basic group of canoeists), n = 8, which used the modes of training sessions according to the author's program in the training process, and a control group of athletes - СGK (the control group of canoeists), n = 8. The initial indicators of the studied parameters in the athletes of the formed groups did not differ statistically significantly (p &gt; 0.05).Data in the file - Collect Indicators of functional support of special performance of qualified canoeists specializing in a distance of 1000 m, before and after the use of MTS.
description: Based on the modelings of the modes of training work in the process of overcoming the competitive distance of 1000 m by qualified athletes, a basic mesocycle program was developed for athletes who specialize in the distance of 1000 m in canoeing, the program included structural, target, content and criterion-evaluation blocks. The program of the basic mesocycle using the developed MTS (Mode of Training Sessions) for athletes of different typological groups in canoeingThe basis of the program was the application of 14 models of training regimes, developed taking into account the features and characteristics of overcoming a competitive distance of 1000 m by qualified athletes in canoeing .To determine the effectiveness of the developed program, two groups of athletes were formed: BGK (the basic group of canoeists), n = 8, which used the modes of training sessions according to the author's program in the training process, and a control group of athletes - СGK (the control group of canoeists), n = 8. The initial indicators of the studied parameters in the athletes of the formed groups did not differ statistically significantly (p &gt; 0.05).Data in the file - Collect Indicators of functional support of special performance of qualified canoeists specializing in a distance of 1000 m, before and after the use of MTS.
DOI: 10.57760/sciencedb.psych.00583
title: Nature-based Mind-body Intervention for Test Anxiety in Adolescents: A Feasibility Study
title: Nature-based Mind-body Intervention for Test Anxiety in Adolescents: A Feasibility Study

description: A dataset of nature-based mind-body intervention for test anxiety in adolescents.
description: A dataset of nature-based mind-body intervention for test anxiety in adolescents.
DOI: 10.57760/sciencedb.psych.00582
title: The magic of repetition: The impact of restatement prompts on perceived quality of GAI responses
title: 重复的魔力：复述提示词对GAI回复质量感知的影响

description: 5 experimental data, all collected on the Credamo platform. 
description: 5 experimental data, all collected on the Credamo platform.
DOI: 10.57760/sciencedb.j00139.00196
title: The mRNA-Seq data of human-Zic3 overexpression in chicken limbs
title: The mRNA-Seq data of human-Zic3 overexpression in chicken limbs

description: We observed Zic3 highly expressed in the anterior regions of limb buds in all investigated tetrapods. To investigate the function of the Zic3 in limbs, we overexpressed the human-Zic3 gene in the lateral plate mesoderm (LPM) of developing chicken hindlimbs at HH10 using the RCAS avian retrovirus. Subsequently, the embryos were allowed to incubate until HH30. Autopod and zeugopod regions were dissected and subjected to transcriptome sequencing (mRNA-Seq), with the corresponding positions from individuals injected with the empty RCAS vector serving as controls. The results of the differential analysis and enrichment analysis revealed the regulatory network of Zic3 and various regulatory pathways that may be affected. After 5 days of infection (HH30), the entire autopod and zeugopod regions of individuals injected with RCAS-Zic3 were collected under a microscope. The same procedure was applied to the control group, where the corresponding areas of individuals injected with RCAS were collected. Each group included five biological replicates.
description: We observed Zic3 highly expressed in the anterior regions of limb buds in all investigated tetrapods. To investigate the function of the Zic3 in limbs, we overexpressed the human-Zic3 gene in the lateral plate mesoderm (LPM) of developing chicken hindlimbs at HH10 using the RCAS avian retrovirus. Subsequently, the embryos were allowed to incubate until HH30. Autopod and zeugopod regions were dissected and subjected to transcriptome sequencing (mRNA-Seq), with the corresponding positions from individuals injected with the empty RCAS vector serving as controls. The results of the differential analysis and enrichment analysis revealed the regulatory network of Zic3 and various regulatory pathways that may be affected. After 5 days of infection (HH30), the entire autopod and zeugopod regions of individuals injected with RCAS-Zic3 were collected under a microscope. The same procedure was applied to the control group, where the corresponding areas of individuals injected with RCAS were collected. Each group included five biological replicates.
DOI: 10.57760/sciencedb.23413
title: Dataset of publications of sedimentology
title: Dataset of publications of sedimentology

description: This includes a table, code, and weight parameters file. The table contains bibliometric data of sedimentology publications spanning 1902 to 2021. The code calculates lexical diversity metrics. The weight parameters file contains a fine-tuned BERT model.
description: This includes a table, code, and weight parameters file. The table contains bibliometric data of sedimentology publications spanning 1902 to 2021. The code calculates lexical diversity metrics. The weight parameters file contains a fine-tuned BERT model.
DOI: 10.57760/sciencedb.j00186.00689
title: Extraction of fissile isotope antineutrino spectra using feedforward neural network
title: Extraction of fissile isotope antineutrino spectra using feedforward neural network

description: The data provided in this compressed package include the original four fission nuclide neutrino energy spectrum models (with reactor neutrino anomaly effects), neutrino energy range, and the best-fitting fission nuclide neutrino energy spectrum obtained by Short-Epoch, Long-Epoch and CERN ROOT fitting, as well as the ratio curve of the fitting value to the original value. These results can provide a benchmark comparison for subsequent research. A "note.txt" file is also provided to explain the format and meaning of all data files.
description: The data provided in this compressed package include the original four fission nuclide neutrino energy spectrum models (with reactor neutrino anomaly effects), neutrino energy range, and the best-fitting fission nuclide neutrino energy spectrum obtained by Short-Epoch, Long-Epoch and CERN ROOT fitting, as well as the ratio curve of the fitting value to the original value. These results can provide a benchmark comparison for subsequent research. A "note.txt" file is also provided to explain the format and meaning of all data files.