cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.02438
title: Effect of flgK gene from Pseudomonas plecoglossicida NZBD9 on spleen transcriptome of Epinephelus coioides
title: Effect of flgK gene from Pseudomonas plecoglossicida NZBD9 on spleen transcriptome of Epinephelus coioides

description: The flgK gene of Pseudomonas plecoglossicida NZBD9 was interfered by RNA interference technology to obtain RNAi strains. RANi strain, wild strain and PBS were injected into different groups of Epinephelus coioides respectively. After 4 days, the spleens of the corresponding treatment groups ( 3 replicates in each treatment group ) were ground and RNA was extracted using a kit for transcriptome sequencing.
description: The flgK gene of Pseudomonas plecoglossicida NZBD9 was interfered by RNA interference technology to obtain RNAi strains. RANi strain, wild strain and PBS were injected into different groups of Epinephelus coioides respectively. After 4 days, the spleens of the corresponding treatment groups ( 3 replicates in each treatment group ) were ground and RNA was extracted using a kit for transcriptome sequencing.
DOI: 10.57760/sciencedb.j00001.00423
title: Multicenter Database on Perinatal Factors in Child Brain-Mind Development (PeriCBD)
title: Multicenter Database on Perinatal Factors in Child Brain-Mind Development (PeriCBD)

description: Neurodevelopmental disorders (NDDs) refer to a series of mental disorders that plague the motor and behavioral development of children in the K12 basic education stage. Multicenter Children's Brain Development Database under Perinatal Factors (PeriCBD) is established by The State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, relying on county/prefecture/district central hospitals to collect data on the brain development of children in high-incidence age groups of NDDs. The primary purpose is to construct a data information platform related to brain development patterns and individual differences in children aged 3-10 under perinatal factors. Meanwhile, it provides critical basic data for the national brain development research, predictive diagnosis, and treatment of NDDs in children. This paper takes the data collection work completed in Anyang Maternal and Child Health Hospital of Henan Province and the People's Hospital of Liangping District of Chongqing City as examples to introduce the organizational framework of PeriCBD, and clarify the unified collection, cleaning, and analysis process of subject behavior data and magnetic resonance imaging data. In addition, data extraction, conversion, loading of database links, and other related standardized methods are used to establish a paradigm for subsequent PeriCBD data collection and database were shown.
description: Neurodevelopmental disorders (NDDs) refer to a series of mental disorders that plague the motor and behavioral development of children in the K12 basic education stage. Multicenter Children's Brain Development Database under Perinatal Factors (PeriCBD) is established by The State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, relying on county/prefecture/district central hospitals to collect data on the brain development of children in high-incidence age groups of NDDs. The primary purpose is to construct a data information platform related to brain development patterns and individual differences in children aged 3-10 under perinatal factors. Meanwhile, it provides critical basic data for the national brain development research, predictive diagnosis, and treatment of NDDs in children. This paper takes the data collection work completed in Anyang Maternal and Child Health Hospital of Henan Province and the People's Hospital of Liangping District of Chongqing City as examples to introduce the organizational framework of PeriCBD, and clarify the unified collection, cleaning, and analysis process of subject behavior data and magnetic resonance imaging data. In addition, data extraction, conversion, loading of database links, and other related standardized methods are used to establish a paradigm for subsequent PeriCBD data collection and database were shown.
DOI: 10.57760/sciencedb.j00139.00036
title: Effects of scd deletion on gene expression during zebrafish liver lipid homeostasis.
title: Effects of scd deletion on gene expression during zebrafish liver lipid homeostasis.

description: To investigate the role of the zebrafish scd gene in the regulation of lipid homeostasis, we constructed mutant zebrafish with a deletion of the scd gene. We then performed gene expression profiling using data obtained by RNA-seq of 2 types of zebrafish livers.
description: To investigate the role of the zebrafish scd gene in the regulation of lipid homeostasis, we constructed mutant zebrafish with a deletion of the scd gene. We then performed gene expression profiling using data obtained by RNA-seq of 2 types of zebrafish livers.
DOI: 10.57760/sciencedb.02375
title: Raw nanoLC-Q-TOF-MS /MS results for four immunoblotting spots with elevated autoantibody levels in early ESCC
title: Raw nanoLC-Q-TOF-MS /MS results for four immunoblotting spots with elevated autoantibody levels in early ESCC

description: NanoLC-Q-TOF-MS/MS was used to identified the candidate autoantibodies which were detected from the serum of ESCC patients but not from healthy controls. Mascot searching engine were used to make a confirmation of the information provided by MS spectrum. In the database are the original results of the immunoblotting spots that we screened.Files with the suffix “group" are search files, and files with the suffix "WIFF" and "SCAN" are original mass spectrum files, which should be opened with the mass spectrometer software.The Excel file is a summary and exported file for direct analysis.
description: NanoLC-Q-TOF-MS/MS was used to identified the candidate autoantibodies which were detected from the serum of ESCC patients but not from healthy controls. Mascot searching engine were used to make a confirmation of the information provided by MS spectrum. In the database are the original results of the immunoblotting spots that we screened.Files with the suffix “group" are search files, and files with the suffix "WIFF" and "SCAN" are original mass spectrum files, which should be opened with the mass spectrometer software.The Excel file is a summary and exported file for direct analysis.
DOI: 10.57760/sciencedb.o00009.00007
title: Data for Paper of LEarning Surface Ozone from satellite columns (LESO): A regional daily estimation framework for surface ozone monitoring in China
title: Data for Paper of LEarning Surface Ozone from satellite columns (LESO): A regional daily estimation framework for surface ozone monitoring in China

description: The dataset is generated for depicting the surface ozone concentrations over the regions of Jing-Jin-Ji (JJJ), Yangtze River Delta (YRD), and Pearl River Delta (PRD) in China. The surface ozone concentrations were estimated based on the satellite measurements and the meteorological data using deep learning techniques. The estimation framework called LESO, which contains a Deep Forest 21 (DF21) model to interpolate ozone concentration by learning spatial patterns and a Long Short-Term Memory (LSTM) model to forecast ozone concentration by learning data from the past. The training data includes the Sentinel-5P/TROPOMI Level-3 gridded near-real-time trace gas columns (ozone, NO2, HCHO), in-situ hourly ozone measurements from China National Environmental Monitoring Center (CNEMC), and the ERA5 hourly-reanalyzed meteorological data (incl. solar radiation, fraction of cloud cover, ozone VMR, relative humidity, rainwater content, temperature, and U-/V- component of wind).
description: The dataset is generated for depicting the surface ozone concentrations over the regions of Jing-Jin-Ji (JJJ), Yangtze River Delta (YRD), and Pearl River Delta (PRD) in China. The surface ozone concentrations were estimated based on the satellite measurements and the meteorological data using deep learning techniques. The estimation framework called LESO, which contains a Deep Forest 21 (DF21) model to interpolate ozone concentration by learning spatial patterns and a Long Short-Term Memory (LSTM) model to forecast ozone concentration by learning data from the past. The training data includes the Sentinel-5P/TROPOMI Level-3 gridded near-real-time trace gas columns (ozone, NO2, HCHO), in-situ hourly ozone measurements from China National Environmental Monitoring Center (CNEMC), and the ERA5 hourly-reanalyzed meteorological data (incl. solar radiation, fraction of cloud cover, ozone VMR, relative humidity, rainwater content, temperature, and U-/V- component of wind).
DOI: 10.57760/sciencedb.02463
title: Hydrographic data obtained from the JAMES cruise in the Bay of Bengal and Andaman Sea
title: Hydrographic data obtained from the JAMES cruise in the Bay of Bengal and Andaman Sea

description: The dataset is the hydrographic data obtained from the JAMES cruise in the Bay of Bengal and Andaman Sea during December 2019‒February 2020. It includes the data collected by underwater glider, surface drifter, and vessel-mounted ADCP. The dataset could be used to reveal a subsurface cyclonic eddy in the southeastern Bay of Bengal.
description: The dataset is the hydrographic data obtained from the JAMES cruise in the Bay of Bengal and Andaman Sea during December 2019‒February 2020. It includes the data collected by underwater glider, surface drifter, and vessel-mounted ADCP. The dataset could be used to reveal a subsurface cyclonic eddy in the southeastern Bay of Bengal.
DOI: 10.57760/sciencedb.01689
title: Knowledge base of microwave target characteristics of typical features in the world
title: 全球典型地物微波目标特性知识库

description: Microwave target characteristics represent the scattering characteristics of radar echoes of ground objects in microwave band (wavelength between 1m ~ 1mm). The microwave characteristics of ground objects are closely related to the dielectric characteristics and roughness of ground objects, so they can reflect the scattering characteristics of different ground objects in radar images. The construction of microwave target characteristic knowledge base of global typical ground features is the basis for accurate interpretation and quantitative inversion of radar images. Therefore, it is very necessary to carry out the construction of microwave target characteristic knowledge base of global typical ground features. This data set is the microwave target characteristic data of typical surface features, including ground feature type, polarization mode, radar band, incidence angle and other parameters. The data can be used to assist the research and classification of microwave scattering characteristics of ground features. 
description: Microwave target characteristics represent the scattering characteristics of radar echoes of ground objects in microwave band (wavelength between 1m ~ 1mm). The microwave characteristics of ground objects are closely related to the dielectric characteristics and roughness of ground objects, so they can reflect the scattering characteristics of different ground objects in radar images. The construction of microwave target characteristic knowledge base of global typical ground features is the basis for accurate interpretation and quantitative inversion of radar images. Therefore, it is very necessary to carry out the construction of microwave target characteristic knowledge base of global typical ground features. This data set is the microwave target characteristic data of typical surface features, including ground feature type, polarization mode, radar band, incidence angle and other parameters. The data can be used to assist the research and classification of microwave scattering characteristics of ground features.
DOI: 10.57760/sciencedb.j00052.00013
title: Acute psychological stress impairs attention disengagement toward threat-related stimuli
title: 急性应激损害对威胁刺激的注意解除

description: This repository contains data and code for the paper on Acta Psychologica Sinica entitled "Acute psychological stress impairs attention disengagement toward threat-related stimuli".
description: This repository contains data and code for the paper on Acta Psychologica Sinica entitled "Acute psychological stress impairs attention disengagement toward threat-related stimuli".
DOI: 10.57760/sciencedb.02522
title: Downregulation of miR-7 and miR-153 is involved in Helicobacter pylori CagA induced gastric carcinogenesis and progression
title: Downregulation of miR-7 and miR-153 is involved in Helicobacter pylori CagA induced gastric carcinogenesis and progression

description: Supplementary information
description: Supplementary information
DOI: 10.57760/sciencedb.02540
title: Data: Transmission characteristics of capillary sampling interface for nano-aerosol mass spectrometer
title: 数据：用于纳米气溶胶质谱仪的毛细管进样接口传输特性研究

description: This data article presents the data of "Transmission characteristics of capillary sampling interface for nano-aerosol mass spectrometer".
description: This data article presents the data of "Transmission characteristics of capillary sampling interface for nano-aerosol mass spectrometer".
DOI: 10.34740/kaggle/dsv/11592160
title: BOS Kemdikbud
DOI: 10.57760/sciencedb.02499
title: 2020_Date of Chinese Journal of Analytical Chemistry, Volume 48, issue 4， P491-497
title: 2020_分析化学，48卷，4期，491-497论文数据

description: Data of detection of chemical compositions of ultrafine nanoparticles by vacuum ultraviolet photoionization nucleation aerosol mass spectrometer
description: Data of detection of chemical compositions of ultrafine nanoparticles by vacuum ultraviolet photoionization nucleation aerosol mass spectrometer
DOI: 10.57760/sciencedb.o00009.00186
title: Binchuan atmospheric electric field observation
title: Binchuan atmospheric electric field observation

description: Atmospheric electric field is measured in the town Binchuan (25°50’N, 100°34’E, 1438.7m asl) of Dali city, Yunnan, China with the purpose of understanding the variation of fair-weather atmospheric electric field. The atmospheric electric field is measured using DNDY electric field mill from 2017.6.14 to 2020.12.1. The atmospheric electric field data for each year during the observation period are given in '.csv' form. First column is 'Datetime' and second is 'Ez' (kV/m).Detail information of the data:Time Resolution: 1 secondResolution: 5 V/mLower limit: -50 kV/mUpper limit: +50 kV/mError: ±5%*We also provide data with time resolution of 1 minute. Files name are year_minute.
description: Atmospheric electric field is measured in the town Binchuan (25°50’N, 100°34’E, 1438.7m asl) of Dali city, Yunnan, China with the purpose of understanding the variation of fair-weather atmospheric electric field. The atmospheric electric field is measured using DNDY electric field mill from 2017.6.14 to 2020.12.1. The atmospheric electric field data for each year during the observation period are given in '.csv' form. First column is 'Datetime' and second is 'Ez' (kV/m).Detail information of the data:Time Resolution: 1 secondResolution: 5 V/mLower limit: -50 kV/mUpper limit: +50 kV/mError: ±5%*We also provide data with time resolution of 1 minute. Files name are year_minute.
DOI: 10.57760/sciencedb.02609
title: The simulation data of pressure required for sampling of multipoint sampler
title: The simulation data of pressure required for sampling of multipoint sampler

description: The FEM-SPH method is used to establish the sampling operation model of multi-point sampler, and the data of pressure required for sampling is obtained through simulation analysis.
description: The FEM-SPH method is used to establish the sampling operation model of multi-point sampler, and the data of pressure required for sampling is obtained through simulation analysis.
DOI: 10.57760/sciencedb.o00009.00204
title: A dataset of the simulation and test results of a frequency synthesizer with a fifth-order RLC loop filter
title: A dataset of the simulation and test results of a frequency synthesizer with a fifth-order RLC loop filter

description: This dataset is a dataset of the simulation and test results of a frequency synthesizer with a fifth-order RLC loop filter, including output signal phase noise, spur suppression, and loop capture time. This data is obtained based on the phase-locked frequency synthesis approach. This dataset can be used for the description of low phase noise frequency synthesizer's research.
description: This dataset is a dataset of the simulation and test results of a frequency synthesizer with a fifth-order RLC loop filter, including output signal phase noise, spur suppression, and loop capture time. This data is obtained based on the phase-locked frequency synthesis approach. This dataset can be used for the description of low phase noise frequency synthesizer's research.
DOI: 10.57760/sciencedb.j00001.00449
title: An image dataset of YMushroom edible fungus for deep learning recognition in 2019-2021
title: 2019-2021年YMushroom食用菌深度学习识别图像数据集

description: The automatic identification of edible fungus based on deep learning can provide technical support for automatic marking and pricing for unmanned supermarkets and vegetable markets in the construction of smart city. Through the identification of intelligent traceability scale, the type and price of edible fungus are automatically displayed, which can reduce the consumption of human resources and save time and cost. At present, the machine recognition of edible fungus mainly depends on a small number of edible fungi pictures collected by some researchers independently in the experimental environment, and there is a lack of edible fungus picture samples obtained in the complex natural environment. This YMushroom dataset provides high-definition edible fungus images that can be used for deep learning image classification model training, including dry and fresh edible fungus in different seasons, different acquisition backgrounds and different acquisition equipment. The dataset is divided into 28 categories, with a total of 49958 pictures. Among them, the sample size of Shaggy Cap pictures is the least, and Oyster Mushroom pictures is the most, 969 and 2578 respectively. The median sample size of a single edible fungus type is 1764, which can meet the training needs of mainstream deep learning models. This dataset can provide basic data for edible fungus image classification, object detection, semantic segmentation, panoptic segmentation and other research.
description: The automatic identification of edible fungus based on deep learning can provide technical support for automatic marking and pricing for unmanned supermarkets and vegetable markets in the construction of smart city. Through the identification of intelligent traceability scale, the type and price of edible fungus are automatically displayed, which can reduce the consumption of human resources and save time and cost. At present, the machine recognition of edible fungus mainly depends on a small number of edible fungi pictures collected by some researchers independently in the experimental environment, and there is a lack of edible fungus picture samples obtained in the complex natural environment. This YMushroom dataset provides high-definition edible fungus images that can be used for deep learning image classification model training, including dry and fresh edible fungus in different seasons, different acquisition backgrounds and different acquisition equipment. The dataset is divided into 28 categories, with a total of 49958 pictures. Among them, the sample size of Shaggy Cap pictures is the least, and Oyster Mushroom pictures is the most, 969 and 2578 respectively. The median sample size of a single edible fungus type is 1764, which can meet the training needs of mainstream deep learning models. This dataset can provide basic data for edible fungus image classification, object detection, semantic segmentation, panoptic segmentation and other research.
DOI: 10.57760/sciencedb.02716
title: Open Access (OA) publication analysis of Tsinghua University in the context of Open Science - An example of Tsinghua University's publication on AGU in 2012-2022
title: 开放科学背景下的清华大学开放获取（OA）文章发文分析——以2012-2022年清华大学在AGU上的发文为例

description: This dataset presents the publication of academic papers in American Geophysical Union (AGU)* Journals at Tsinghua University in 2012-2022, and conducts a statistical analysis of the publication of academic papers from the perspectives of the distribution of faculty sources, Open Access (OA) types, and repositories. The statistical analysis provides supports for the investigation of OA publishing behavior in the context of Open Science and the formulation of OA transformation policies. *Note: AGU is a non-profit organization composed of Earth, Atmospheric, Oceanic, Hydrologic, Space and Planetary scientists and enthusiasts. As a scholarly publisher, there are currently 14 subscription Journals and 12 Open Access (OA) Journals, and Science DB is included and certified by AGU as its recommended general repository.
description: This dataset presents the publication of academic papers in American Geophysical Union (AGU)* Journals at Tsinghua University in 2012-2022, and conducts a statistical analysis of the publication of academic papers from the perspectives of the distribution of faculty sources, Open Access (OA) types, and repositories. The statistical analysis provides supports for the investigation of OA publishing behavior in the context of Open Science and the formulation of OA transformation policies. *Note: AGU is a non-profit organization composed of Earth, Atmospheric, Oceanic, Hydrologic, Space and Planetary scientists and enthusiasts. As a scholarly publisher, there are currently 14 subscription Journals and 12 Open Access (OA) Journals, and Science DB is included and certified by AGU as its recommended general repository.
DOI: 10.57760/sciencedb.02730
title: Optical gearbox enabled versatile multiscale high-throughput multiphoton functional imaging
title: Optical gearbox enabled versatile multiscale high-throughput multiphoton functional imaging

description: Source data of paper "Optical gearbox enabled versatile multiscale high-throughput multiphoton functional imaging".
description: Source data of paper "Optical gearbox enabled versatile multiscale high-throughput multiphoton functional imaging".
DOI: 10.57760/sciencedb.j00001.00560
title: A UAV multispectral images dataset for grassland-livestock balance
title: 面向草畜平衡的无人机多光谱影像数据集

description: This dataset includes UAV multispectral images of grassland before and after grazing, with high spatial resolution. It also includes accurate quadrat investigation data which has high positioning accuracy. The dataset can be used to more accurately measure the daily grass demand of grazing sheep on the Hulunbuir meadow steppe in autumn from a small scale. It provides significant data support for the calculation of the important parameter of livestock grass demand in the calculation of local grassland-livestock balance.
description: This dataset includes UAV multispectral images of grassland before and after grazing, with high spatial resolution. It also includes accurate quadrat investigation data which has high positioning accuracy. The dataset can be used to more accurately measure the daily grass demand of grazing sheep on the Hulunbuir meadow steppe in autumn from a small scale. It provides significant data support for the calculation of the important parameter of livestock grass demand in the calculation of local grassland-livestock balance.