cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.11757
title: Soil Species Database of Hunan—based on the Second National Soil Survey
title: 湖南土种志——基于全国第二次土壤普查数据集

description:  This dataset is sourced from the "Hunan Soil Species" compiled by the Hunan Provincial Department of Agriculture in 1987. This book collects the attribution, name, area and distribution, main physical and chemical properties, typical profile characteristics and their physicochemical analysis results, production performance, and improvement and fertilization methods of 405 soil types in Hunan Province. The collection and extraction of raw data and information have been standardized, structured, and digitized in this database. It is an important component of the results of the second soil survey in Hunan Province. On the basis of a series of standardization work, this dataset constructed an E-R data model that includes the distribution relationship between location and soil type, as well as the classification relationship of soil occurrence and classification. It formed a data product with 5 soil orders, 11 soil classes, 25 subclasses, 124 soil genus, 405 soil species, and their physical and chemical properties. This dataset can be widely used for land quality assessment, environmental effects research, soil carbon storage research, etc. It has very important guiding significance for soil planting, soil fertilization, soil improvement, adjusting agricultural structure layout, and rational utilization of soil resources. It can also provide important reference for the ongoing third soil survey work.
description:  This dataset is sourced from the "Hunan Soil Species" compiled by the Hunan Provincial Department of Agriculture in 1987. This book collects the attribution, name, area and distribution, main physical and chemical properties, typical profile characteristics and their physicochemical analysis results, production performance, and improvement and fertilization methods of 405 soil types in Hunan Province. The collection and extraction of raw data and information have been standardized, structured, and digitized in this database. It is an important component of the results of the second soil survey in Hunan Province. On the basis of a series of standardization work, this dataset constructed an E-R data model that includes the distribution relationship between location and soil type, as well as the classification relationship of soil occurrence and classification. It formed a data product with 5 soil orders, 11 soil classes, 25 subclasses, 124 soil genus, 405 soil species, and their physical and chemical properties. This dataset can be widely used for land quality assessment, environmental effects research, soil carbon storage research, etc. It has very important guiding significance for soil planting, soil fertilization, soil improvement, adjusting agricultural structure layout, and rational utilization of soil resources. It can also provide important reference for the ongoing third soil survey work.
DOI: 10.57760/sciencedb.j00133.00385
title: Identification of Elements in Legal Judgement Documents for Argumentation
title: 裁判文书论辩元素识别

description: This dataset is a specialized resource for identifying argumentative elements in civil judgment documents. The original data is selected from the self judgment document website, covering multiple common types of civil disputes, including civil loan disputes, motor vehicle traffic accident liability disputes, divorce disputes, labor disputes, and sales contract disputes. These cases were carefully selected by experienced legal professionals and accurately annotated to ensure the reliability and practicality of the data. The original data is organized in a compressed file and divided into three independent files, representing the plaintiff, defendant, and court. Each file follows a consistent format specification and is divided into two columns: the first column is "text" and the second column is "label", corresponding to the category of argumentative elements in the text. Special statement: Although this dataset has been privatized, there may still be some privacy information that has not been fully processed. If there is any infringement, please contact us to delete the corresponding data. In addition, we will also try our best to synchronously delete the documents that have already been removed from the judgment documents. If there is any data deletion, no further notice will be given. 
description: This dataset is a specialized resource for identifying argumentative elements in civil judgment documents. The original data is selected from the self judgment document website, covering multiple common types of civil disputes, including civil loan disputes, motor vehicle traffic accident liability disputes, divorce disputes, labor disputes, and sales contract disputes. These cases were carefully selected by experienced legal professionals and accurately annotated to ensure the reliability and practicality of the data. The original data is organized in a compressed file and divided into three independent files, representing the plaintiff, defendant, and court. Each file follows a consistent format specification and is divided into two columns: the first column is "text" and the second column is "label", corresponding to the category of argumentative elements in the text. Special statement: Although this dataset has been privatized, there may still be some privacy information that has not been fully processed. If there is any infringement, please contact us to delete the corresponding data. In addition, we will also try our best to synchronously delete the documents that have already been removed from the judgment documents. If there is any data deletion, no further notice will be given.
DOI: 10.57760/sciencedb.05150
title: A dataset of 1km Grid country road density in Beijing-Tianjin-Hebei (2020）
title: 2020年京津冀1km格网农村道路密度数据集

description: Cointry roads undertake the dual tasks of rural agricultural production and some social and economic activities. Reasonable allocation of rural roads is of great significance to mechanization of agricultural production, promotion of rural economy and improvement of rural production and living conditions. In this paper, the vector data of country roads in Beijing-Tianjin-Hebei region in 2020 is used to extract the center line of rural roads, and the density data set of 1km grid rural roads in Beijing-Tianjin-Hebei region in 2020 is obtained by grid space calculation using km grid production software. This data set can be used for the research of rural planning, planning implementation evaluation, farming convenience, farmland accessibility calculation, etc.
description: Cointry roads undertake the dual tasks of rural agricultural production and some social and economic activities. Reasonable allocation of rural roads is of great significance to mechanization of agricultural production, promotion of rural economy and improvement of rural production and living conditions. In this paper, the vector data of country roads in Beijing-Tianjin-Hebei region in 2020 is used to extract the center line of rural roads, and the density data set of 1km grid rural roads in Beijing-Tianjin-Hebei region in 2020 is obtained by grid space calculation using km grid production software. This data set can be used for the research of rural planning, planning implementation evaluation, farming convenience, farmland accessibility calculation, etc.
DOI: 10.57760/sciencedb.ecodb.00221
title: Daily surface meteorological dataset of Xiaolangdi Station (2018–2020)
title: 2018–2020年河南小浪底站日尺度地面气象数据集

description: Meteorological data is an foundational data for field scientific observation and research. Surface meteorological observation is an important component of meteorological observation. Due to its adherence to unified surface meteorological observation standards, it has better comparability in space, which is also its distinguishing feature from microclimate observation. Henan Xiaolangdi Forest Ecosystem National Observation and Research Station (referred to as Xiaolangdi Station) is located in the transitional zone of the second and third steps of China's landforms in the southern Taihang Mountains. It is a key ecological area of the Yellow River and belongs to a warm temperate sub humid monsoon climate with rich biodiversity. This dataset is based on the raw data collected from the surface meteorological observation field of Xiaolangdi Station. It is the daily meteorological data product from 2018 to 2020 after data processing and quality control. It covers the daily data of temperature, maximum temperature, minimum temperature, relative humidity, wind speed, maximum wind speed, net radiation, direct radiation, air pressure, precipitation, 0-80cm multi-layer soil temperature (total of 17 observation elements). This dataset can provide background information for climate change research and ecological civilization construction, and to provide data support for maintaining ecological security and promoting high-quality development in the Yellow River Basin.
description: Meteorological data is an foundational data for field scientific observation and research. Surface meteorological observation is an important component of meteorological observation. Due to its adherence to unified surface meteorological observation standards, it has better comparability in space, which is also its distinguishing feature from microclimate observation. Henan Xiaolangdi Forest Ecosystem National Observation and Research Station (referred to as Xiaolangdi Station) is located in the transitional zone of the second and third steps of China's landforms in the southern Taihang Mountains. It is a key ecological area of the Yellow River and belongs to a warm temperate sub humid monsoon climate with rich biodiversity. This dataset is based on the raw data collected from the surface meteorological observation field of Xiaolangdi Station. It is the daily meteorological data product from 2018 to 2020 after data processing and quality control. It covers the daily data of temperature, maximum temperature, minimum temperature, relative humidity, wind speed, maximum wind speed, net radiation, direct radiation, air pressure, precipitation, 0-80cm multi-layer soil temperature (total of 17 observation elements). This dataset can provide background information for climate change research and ecological civilization construction, and to provide data support for maintaining ecological security and promoting high-quality development in the Yellow River Basin.
DOI: 10.57760/sciencedb.06906
title: Dataset on physical and mental health and academic performance of primary school students in China
title: 中国小学生的身心健康及学业成绩数据集

description: The dataset contains data on the physical and mental health and academic performance of more than 300 primary school students in China. Python code that applies machine learning methods to predict elementary school students' academic performance using physical and mental health and demographic factors is also included.
description: The dataset contains data on the physical and mental health and academic performance of more than 300 primary school students in China. Python code that applies machine learning methods to predict elementary school students' academic performance using physical and mental health and demographic factors is also included.
DOI: 10.15468/dl.p74pwd
title: Occurrence Download

description: A dataset containing 1354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Aneides hardii (Taylor, 1941))"
 ]
}

 The dataset includes 1354 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001333-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.13557
title: Trade openness and labour productivities on mineral rents
title: 资源租金：东亚贸易开放与劳动生产率

description: The role of trade openness and labour productivities on mineral rents: evidence from East Asian countries
description: The role of trade openness and labour productivities on mineral rents: evidence from East Asian countries
DOI: 10.57760/sciencedb.13609
title: ICT usage and ICT supply on SO2 Emissions in China's Yangtze River Delta
title: 长三角ICT应用与供给数据

description: Navigating the Digital Divide: Unraveling the Impact of ICT usage and ICT supply on SO2 Emissions in China's Yangtze River Delta
description: Navigating the Digital Divide: Unraveling the Impact of ICT usage and ICT supply on SO2 Emissions in China's Yangtze River Delta
DOI: 10.57760/sciencedb.j00001.00906
title: Temporal-Spatial Dataset of Surface albedo in the Ring Tarim Basin from 1990 to 2021 based on linear correction
title: 基于线性校正的环塔里木盆地1990–2021年地表反照率时空数据集

description: This dataset contains Albedo-corrected pre- and post-corrected spatio-temporal distribution data for the 1990-2021 vegetation growing season within the Ring Tarim Basin. The correction method is based on the Albedo data obtained from 132 sample plots with actual measurements, and the correction coefficient equation based on linear regression is established with 100 sample plots, and the inverse-performed Albedo spatio-temporal dataset is corrected. The original and corrected datasets were stored in two folders, the original dataset was stored in the folder named Raw data; the corrected dataset was stored in the folder named Corrected data. Each folder contains a total of seven periods of data between 1990 and 2021, the data naming method is Albedo + year, and the projected coordinate system of the dataset is WGS_1984_Albers. The data types are all raster data in GeoTIFF format, the spatial resolution is 30m, and the data volume is about 24.1GB. The data can be read, viewed, analyzed, processed and applied in conventional GIS software and remote sensing platforms (such as ArcGIS, QGIS, ENVI and ERDAS IMAGINE, etc.).
description: This dataset contains Albedo-corrected pre- and post-corrected spatio-temporal distribution data for the 1990-2021 vegetation growing season within the Ring Tarim Basin. The correction method is based on the Albedo data obtained from 132 sample plots with actual measurements, and the correction coefficient equation based on linear regression is established with 100 sample plots, and the inverse-performed Albedo spatio-temporal dataset is corrected. The original and corrected datasets were stored in two folders, the original dataset was stored in the folder named Raw data; the corrected dataset was stored in the folder named Corrected data. Each folder contains a total of seven periods of data between 1990 and 2021, the data naming method is Albedo + year, and the projected coordinate system of the dataset is WGS_1984_Albers. The data types are all raster data in GeoTIFF format, the spatial resolution is 30m, and the data volume is about 24.1GB. The data can be read, viewed, analyzed, processed and applied in conventional GIS software and remote sensing platforms (such as ArcGIS, QGIS, ENVI and ERDAS IMAGINE, etc.).
DOI: 10.57760/sciencedb.15401
title: meta-analysis of humor cognitive training
title: 幽默认知训练元分析研究

description: This research dataset includes data encoded from 10 literature using humor cognition training, including the mean and standard deviation before and after training, as well as the mean and standard deviation before and after the control training group; Each article is divided into positive and negative indicators for mental health, and the effect value data after calculating the positive and negative indicators for each literature, as well as the effect value data for dividing positive and negative indicators and summarizing all literature, are all included in this packaged file. 
description: This research dataset includes data encoded from 10 literature using humor cognition training, including the mean and standard deviation before and after training, as well as the mean and standard deviation before and after the control training group; Each article is divided into positive and negative indicators for mental health, and the effect value data after calculating the positive and negative indicators for each literature, as well as the effect value data for dividing positive and negative indicators and summarizing all literature, are all included in this packaged file.
DOI: 10.57760/sciencedb.17145
title: Full life cycle algorithm verification of three-dimensional lidar SLAM systems
title: 三维激光雷达SLAM系统的全生命周期算法验证数据集

description: This data set is designed to be suitable for full life cycle algorithm verification of three-dimensional lidar SLAM systems. There are two types of data sets: Ours data set and FullLifeCycle data set. The sensors of the Ours data set include 16-line lidar, IMU and RTK-GPS, and the sensors of the FullLifeCycle data set include 16-line lidar and IMU. The recording environment is an outdoor company building scene, including buildings, parking lots, dynamic objects, etc. It is a dynamic and complex scene.
description: This data set is designed to be suitable for full life cycle algorithm verification of three-dimensional lidar SLAM systems. There are two types of data sets: Ours data set and FullLifeCycle data set. The sensors of the Ours data set include 16-line lidar, IMU and RTK-GPS, and the sensors of the FullLifeCycle data set include 16-line lidar and IMU. The recording environment is an outdoor company building scene, including buildings, parking lots, dynamic objects, etc. It is a dynamic and complex scene.
DOI: 10.57760/sciencedb.16943
title: China daily ground surface direct and diffuse solar radiation dataset
title: 中国逐日地表太阳直射和散射辐射数据

description: This dataset is produced based on a machine learning model. The satellite-derived surface global solar radiation dataset ISCCP-ITP-CNN was fed into the trained model and a daily direct and diffuse radiation component dataset for China was produced with a spatial resolution of 10 km and a time span of 1983-2018. This dataset has been validated using the surface solar radiation component observations China Meteorological Administration (CMA). It has higher accuracy compared with the rest of the current datasets.The data format is mat file, which is generated by the scientific computing software MATLAB and can be read using either matlab or Python. The diffese radiation file is named 'dif_year', the storage variable is 'dif2', and the data are in the form of 400*700 arrays, representing 70-140° E and 15-55° N, with a resolution of 0.1 degrees, i.e., a grid of 10km. The direct radiation file is named 'dir_year', the storage variable is 'dir3', and the data form is the same as that of the scattering radiation. No latitude and longitude information is stored in any of the files.
description: This dataset is produced based on a machine learning model. The satellite-derived surface global solar radiation dataset ISCCP-ITP-CNN was fed into the trained model and a daily direct and diffuse radiation component dataset for China was produced with a spatial resolution of 10 km and a time span of 1983-2018. This dataset has been validated using the surface solar radiation component observations China Meteorological Administration (CMA). It has higher accuracy compared with the rest of the current datasets.The data format is mat file, which is generated by the scientific computing software MATLAB and can be read using either matlab or Python. The diffese radiation file is named 'dif_year', the storage variable is 'dif2', and the data are in the form of 400*700 arrays, representing 70-140° E and 15-55° N, with a resolution of 0.1 degrees, i.e., a grid of 10km. The direct radiation file is named 'dir_year', the storage variable is 'dir3', and the data form is the same as that of the scattering radiation. No latitude and longitude information is stored in any of the files.
DOI: 10.57760/sciencedb.j00001.01015
title: A Dataset of Chinese-Tibetan new words based on News Texts (2017-2022)
title: 基于新闻文本的汉藏新词语数据集（2017-2022）

description: The data set consists of 12 subsets（csv）and one Readme file(txt) in total, which are Chinese and Tibetan new words data and usage instructions from 2017 to 2022. The data item of Chinese new words contains word title, frequency and relative frequency, and the data item of Tibetan new words data table contains word title, corresponding Chinese translation, frequency and relative frequency. There were 3,388 new words in Chinese and 1,417 new words in Tibetan.
description: The data set consists of 12 subsets（csv）and one Readme file(txt) in total, which are Chinese and Tibetan new words data and usage instructions from 2017 to 2022. The data item of Chinese new words contains word title, frequency and relative frequency, and the data item of Tibetan new words data table contains word title, corresponding Chinese translation, frequency and relative frequency. There were 3,388 new words in Chinese and 1,417 new words in Tibetan.
DOI: 10.57760/sciencedb.17288
title: Excessive activation of JAK-STAT signaling contributes to inflammation induced by acute Vibrio infection in shrimp
title: Excessive activation of JAK-STAT signaling contributes to inflammation induced by acute Vibrio infection in shrimp

description: The raw data of the study named as "Excessive activation of JAK-STAT signaling contributes to inflammation induced by acute Vibrio infection in shrimp", which contains six indipendent figures and one supplemental figure.
description: The raw data of the study named as "Excessive activation of JAK-STAT signaling contributes to inflammation induced by acute Vibrio infection in shrimp", which contains six indipendent figures and one supplemental figure.
DOI: 10.57760/sciencedb.j00052.00193
title: Mental Health Literacy & Mental Health
title: 心理健康素养与心理健康

description: This data is the basic data of the article "Beyond High and Low: The Potential Category Structure of National Mental Health Literacy and Its Relationship with Mental Health". According to research 1-3, the data is divided into corresponding sheets, including subject numbers and demographic characteristics. After processing, the subjects respond in half on 60 items in the "Mental Health Literacy Questionnaire" (Wu Jue et al., 2022 edition) The psychological health level of the participants (including positive psychological health measured by the "China Mental Health Scale (Adult Version)" developed by psychology, and negative psychological health measured by the BSI-18 developed by Derogatis). For more detailed explanations, please refer to the explanations in each section of the article. 
description: This data is the basic data of the article "Beyond High and Low: The Potential Category Structure of National Mental Health Literacy and Its Relationship with Mental Health". According to research 1-3, the data is divided into corresponding sheets, including subject numbers and demographic characteristics. After processing, the subjects respond in half on 60 items in the "Mental Health Literacy Questionnaire" (Wu Jue et al., 2022 edition) The psychological health level of the participants (including positive psychological health measured by the "China Mental Health Scale (Adult Version)" developed by psychology, and negative psychological health measured by the BSI-18 developed by Derogatis). For more detailed explanations, please refer to the explanations in each section of the article.
DOI: 10.57760/sciencedb.17209
title: Serum starvation induces cytosolic DNA trafficking via exosome and autophagy-lysosome pathway in microglia dataset
title: Serum starvation induces cytosolic DNA trafficking via exosome and autophagy-lysosome pathway in microglia dataset

description: Build a microglia imbalance model through serum starvation stimulation, Q-PCR detect changes in steady-state gene expression, WB detect changes in autophagy-related proteins, etc.
description: Build a microglia imbalance model through serum starvation stimulation, Q-PCR detect changes in steady-state gene expression, WB detect changes in autophagy-related proteins, etc.