cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.o00009.00042
title: Correlation anomaly dataset comprised of telemetry parameters from the Quantum Science Experiment Satellite
title: 量子科学实验卫星遥测参数关联异常数据集

description: This dataset comes from the telemetry data of Quantum Science Experiment Satellite's Attitude Control System from 2017 to 2018. The original data was processed with Python's pandas data processing package to do wild value rejection and downsampling (from the original sampling rate of 1s to 6s). The pre-processed data contains 11250 data points with 19 dimensions and can be used for satellite telemetry data correlation anomaly detection.
description: This dataset comes from the telemetry data of Quantum Science Experiment Satellite's Attitude Control System from 2017 to 2018. The original data was processed with Python's pandas data processing package to do wild value rejection and downsampling (from the original sampling rate of 1s to 6s). The pre-processed data contains 11250 data points with 19 dimensions and can be used for satellite telemetry data correlation anomaly detection.
DOI: 10.57760/sciencedb.07691
title: Marine-montane transitions coupled with gill and genetic convergence in extant crustacean
title: Marine-montane transitions coupled with gill and genetic convergence in extant crustacean

description: Chromosomal-level genome of talitrid crustacean (Morinoia aosen) was constructed using HiFi-reads (PacBio), short-reads (Illumina) and Hi-C technology.A total of 239.88 Gb Illumina clean reads produced on the DNBseqTM platform (Illumina, San Diego, USA) were used for genome surveying and assembly correction after removal of low-quality reads and adapters. A total of 118.46 Gb of HiFi reads were generated for genomic contig assembly using hifiasm v0.15.2 with default parameters. The 266 Gb reads from the Hi-C library sequencing were used for chromosome construction after primarily filtered and mapped to the genome. We applied three strategies for gene structure prediction across the genome: homology-based annotation, de novo prediction, and RNAseq-based annotation.This dataset contains four files as bellow:(1) genome assembly file: IZCAS_Maosen_V1.fasta.gz;(2) fasta file of coding gene sequences: IZCAS_Morinoia aosen_genome.chr.cds.fa;(3) fasta file of proteins: IZCAS_Morinoia aosen_genome.chr.pep.fa;(4) GFF annotation file: IZCAS_Morinoia aosen_genome.chr.gff.We also have added seven files related to the study, including the alignment files, phylogenetic trees, and morphological data.
description: Chromosomal-level genome of talitrid crustacean (Morinoia aosen) was constructed using HiFi-reads (PacBio), short-reads (Illumina) and Hi-C technology.A total of 239.88 Gb Illumina clean reads produced on the DNBseqTM platform (Illumina, San Diego, USA) were used for genome surveying and assembly correction after removal of low-quality reads and adapters. A total of 118.46 Gb of HiFi reads were generated for genomic contig assembly using hifiasm v0.15.2 with default parameters. The 266 Gb reads from the Hi-C library sequencing were used for chromosome construction after primarily filtered and mapped to the genome. We applied three strategies for gene structure prediction across the genome: homology-based annotation, de novo prediction, and RNAseq-based annotation.This dataset contains four files as bellow:(1) genome assembly file: IZCAS_Maosen_V1.fasta.gz;(2) fasta file of coding gene sequences: IZCAS_Morinoia aosen_genome.chr.cds.fa;(3) fasta file of proteins: IZCAS_Morinoia aosen_genome.chr.pep.fa;(4) GFF annotation file: IZCAS_Morinoia aosen_genome.chr.gff.We also have added seven files related to the study, including the alignment files, phylogenetic trees, and morphological data.
DOI: 10.57760/sciencedb.o00119.00039
title: A dataset of long-term biological plot background and farming systems of CERN agricultural stations
title: CERN农田站生物长期样地背景和耕作制度本底数据集

description: The background data set of the long-term biological plots and farming system of CERN agriculture station is a comprehensive integration of the basic data at the beginning of the establishment of the plots from 21 CERN agriculture stations. It contains the background information, representative agriculture types and the farming system records of 145 long-term observation plot from 15 agricultural stations, 5 desert-agriculture composite stations and 1 wetland-agriculture composite station. The data set includes station code, plot code, plot name, plot type, crop name and rotation system, geographical location, altitude, plot area and shape, plot establishment time and design service life, representativeness, administrative location, farming system and irrigation system. The data set can provide basic data support for the study of crop resource distribution, farming system zoning and development.
description: The background data set of the long-term biological plots and farming system of CERN agriculture station is a comprehensive integration of the basic data at the beginning of the establishment of the plots from 21 CERN agriculture stations. It contains the background information, representative agriculture types and the farming system records of 145 long-term observation plot from 15 agricultural stations, 5 desert-agriculture composite stations and 1 wetland-agriculture composite station. The data set includes station code, plot code, plot name, plot type, crop name and rotation system, geographical location, altitude, plot area and shape, plot establishment time and design service life, representativeness, administrative location, farming system and irrigation system. The data set can provide basic data support for the study of crop resource distribution, farming system zoning and development.
DOI: 10.57760/sciencedb.07731
title: New and Compiled thermochronological data - Bin Zhang
title: New and Compiled thermochronological data - Bin Zhang

description: New and Compiled thermochronological data of "Ongoing India-Asia convergence controlled the differential growth of the eastern Tibetan Plateau"
description: New and Compiled thermochronological data of "Ongoing India-Asia convergence controlled the differential growth of the eastern Tibetan Plateau"
DOI: 10.57760/sciencedb.o00009.00441
title: The database of tropospheric delay calculated by MFs and WVR observations on 4 VLBI stations
title: 4个VLBI站不同映射函数模型计算中性大气时延及微波辐射计观测结果

description: This database contains the tropospheric delay calculated by MFs and WVR observations directly on 4 VLBI stations during 7 times observation of Tianwen-1 spacecraft, and the tropospheric delay using MFs on 4 VLBI stations at low elevation angles (1°-30°).
description: This database contains the tropospheric delay calculated by MFs and WVR observations directly on 4 VLBI stations during 7 times observation of Tianwen-1 spacecraft, and the tropospheric delay using MFs on 4 VLBI stations at low elevation angles (1°-30°).
DOI: 10.57760/sciencedb.08094
title: A dataset of 10-m annual coastal aquaculture ponds in China and Vietnam from 2015 to 2020
title: A dataset of 10-m annual coastal aquaculture ponds in China and Vietnam from 2015 to 2020

description: This dataset provides 10 m annual coastal aquaculture pond maps for China and Vietnam from 2015 to 2020.
description: This dataset provides 10 m annual coastal aquaculture pond maps for China and Vietnam from 2015 to 2020.
DOI: 10.57760/sciencedb.06711
title: Dataset for "Characteristics of magnetic reconnection with a finite x-line length"
title: Dataset for "Characteristics of magnetic reconnection with a finite x-line length"

description: The dataset is the result of three-dimensional (3-D) particle-in-cell(PIC) simulations of magnetic reconnection produced by the VPIC code. Detailed data include: two-dimensional distribution of electric and magnetic fields, electron and ion flow velocity, current density, electron and ion temperature, and the terms in the generalized Ohm's law. The dataset can be used to study magnetic reconnection in 3-D space.
description: The dataset is the result of three-dimensional (3-D) particle-in-cell(PIC) simulations of magnetic reconnection produced by the VPIC code. Detailed data include: two-dimensional distribution of electric and magnetic fields, electron and ion flow velocity, current density, electron and ion temperature, and the terms in the generalized Ohm's law. The dataset can be used to study magnetic reconnection in 3-D space.
DOI: 10.57760/sciencedb.07679
title: Flood Susceptibility Modelling of Karnali River Basin using Different Machine Learning Techniques
title: Flood Susceptibility Modelling of Karnali River Basin using Different Machine Learning Techniques

description: This dataset is the data used for flood susceptibility modeling of Karnali River Basin of Nepal based on ten flood conditioning factors. The data and flood points are used for application of machine learning algorithms for flood susceptibility mapping of Karnali River Basin. This database includes Jupyter Notebook codes for FSM using Support Vector Machine, Random Forest and Artificial Neural Network.
description: This dataset is the data used for flood susceptibility modeling of Karnali River Basin of Nepal based on ten flood conditioning factors. The data and flood points are used for application of machine learning algorithms for flood susceptibility mapping of Karnali River Basin. This database includes Jupyter Notebook codes for FSM using Support Vector Machine, Random Forest and Artificial Neural Network.
DOI: 10.57760/sciencedb.o00119.00083
title: Dataset of soil organic carbon density of typical ecosystems in the arid region of northwest China from 2005 to 2020
title: 2005-2020年中国西北干旱区典型生态系统土壤有机碳密度数据集

description: Based on the long-term soil observation data collected from the ecological field stations of China Ecosystem Research Network (CERN) located in five provinces and regions of northwest China, the soil organic carbon density dataset of typical ecosystems in the arid region of Northwest China was calculated by organic carbon estimation model. This dataset contains the soil organic carbon density data of topsoil (0-20 cm) and soil profile of various long-term observation plots at 11 ecological field stations from 2005 to 2020, in order to provide valuable measured data for the estimation of soil carbon storage and the study of carbon cycle process in the arid area of northwest China.
description: Based on the long-term soil observation data collected from the ecological field stations of China Ecosystem Research Network (CERN) located in five provinces and regions of northwest China, the soil organic carbon density dataset of typical ecosystems in the arid region of Northwest China was calculated by organic carbon estimation model. This dataset contains the soil organic carbon density data of topsoil (0-20 cm) and soil profile of various long-term observation plots at 11 ecological field stations from 2005 to 2020, in order to provide valuable measured data for the estimation of soil carbon storage and the study of carbon cycle process in the arid area of northwest China.
DOI: 10.57760/sciencedb.ecodb.00093
title: A dataset of soil microorganisms for vegetable fields in Wenchang City of Hainan from 2016 to 2021
title: 2016–2021年海南文昌菜地土壤微生物数据集

description: Based on soil microbial DNA/RNA molecular biology techniques, this dataset was integrated with high-throughput sequencing data of soil bacteria and fungi under three fertilization patterns: chemical fertilizer alone, straw return, and chemical fertilizer + straw return in vegetable fields in Wenchang City, Hainan Province, 2016-2021. The dataset is of great significance for studying the nutrient cycling of vegetable ecosystems in tropical regions, analyzing the interaction mechanism between environmental elements and production systems, adjusting crop cultivation management methods and nutrient inputs, and improving the service functions of tropical agroecosystems.
description: Based on soil microbial DNA/RNA molecular biology techniques, this dataset was integrated with high-throughput sequencing data of soil bacteria and fungi under three fertilization patterns: chemical fertilizer alone, straw return, and chemical fertilizer + straw return in vegetable fields in Wenchang City, Hainan Province, 2016-2021. The dataset is of great significance for studying the nutrient cycling of vegetable ecosystems in tropical regions, analyzing the interaction mechanism between environmental elements and production systems, adjusting crop cultivation management methods and nutrient inputs, and improving the service functions of tropical agroecosystems.
DOI: 10.57760/sciencedb.07140
title: A dataset of carbon and water fluxes of mowing grasslands in Xilinhot, Inner Mongolia during 2006-2015
title: 2006-2015年内蒙古锡林浩特刈割草原碳水通量观测数据集

description: Grassland is one of the most widely distributed vegetation types around the world, and play an important role in the global carbon and water cycle. As a common type of land use in Inner Mongolia, mowing has profoundly affected plant growth and ecosystem functioning of grasslands. However, the influences of mowing on the carbon and water cycle processes in grassland ecosystems are still unclear. A lack of long-term and continuous observation flux data is one of the important reasons. According to the flux data processing procedure by ChinaFLUX, we collected the carbon and water fluxes and conventional meteorological data of typical grassland ecosystems in Xilinhot, Inner Mongolia from 2006 to 2015. This dataset provides a high-quality and continuous long-term eddy flux observation valuable for the research of temporal variations and mechanisms of carbon and water fluxes. Meanwhile, it is important for optimizing grassland management practices and evaluating the role of grassland in regional and global carbon and water cycles.
description: Grassland is one of the most widely distributed vegetation types around the world, and play an important role in the global carbon and water cycle. As a common type of land use in Inner Mongolia, mowing has profoundly affected plant growth and ecosystem functioning of grasslands. However, the influences of mowing on the carbon and water cycle processes in grassland ecosystems are still unclear. A lack of long-term and continuous observation flux data is one of the important reasons. According to the flux data processing procedure by ChinaFLUX, we collected the carbon and water fluxes and conventional meteorological data of typical grassland ecosystems in Xilinhot, Inner Mongolia from 2006 to 2015. This dataset provides a high-quality and continuous long-term eddy flux observation valuable for the research of temporal variations and mechanisms of carbon and water fluxes. Meanwhile, it is important for optimizing grassland management practices and evaluating the role of grassland in regional and global carbon and water cycles.
DOI: 10.57760/sciencedb.02003
title: A dataset of thunderstorm features of the FY-2E full-disc observation area from 2010 to 2018
title: 2010–2018年FY-2E全圆盘探测区域内雷暴云特征数据集

description: This thunderstorm feature dataset (TFD) was established by the black body temperature (TBB) product and the cloud classification (CLC) product provided by the Fengyun-2E (FY-2E) satellite and the lightning location data from the World-Wide Lightning Location Network (WWLLN). Thunderstorm cloud is determined as at least one WWLLN lightning is in the area with TBB ≤ −­32°C or its fitted ellipse. The parameters including time, location, structure and lightning activities are obtained to form the TFD. The time range of this dataset is from 2010 to 2018, with a temporal resolution of 1h and wide spatial coverage, which can cover the mainland and adjacent sea areas of China. This TFD can play an important role in the study of thunderstorm activities.
description: This thunderstorm feature dataset (TFD) was established by the black body temperature (TBB) product and the cloud classification (CLC) product provided by the Fengyun-2E (FY-2E) satellite and the lightning location data from the World-Wide Lightning Location Network (WWLLN). Thunderstorm cloud is determined as at least one WWLLN lightning is in the area with TBB ≤ −­32°C or its fitted ellipse. The parameters including time, location, structure and lightning activities are obtained to form the TFD. The time range of this dataset is from 2010 to 2018, with a temporal resolution of 1h and wide spatial coverage, which can cover the mainland and adjacent sea areas of China. This TFD can play an important role in the study of thunderstorm activities.
DOI: 10.57760/sciencedb.08490
title: CCD-Maize: A twenty-year dataset of maize distribution with high spatial resolution in China
title: CCD-Maize: A twenty-year dataset of maize distribution with high spatial resolution in China

description: The dataset is a long-term, high-resolution maize distribution map for China (China Crop Dataset–Maize, CCD-Maize), which contains the distribution maps of maize in 22 provinces and municipalities of China from 2001 to 2020. The file format is GeoTIFF and the spatial reference is WGS84 (EPSG:4326). The resolution of the distribution maps is 30-m. The distribution maps are produced using the time-weighted dynamic time warping (TWDTW) method based on a high spatiotemporal resolution fused dataset. The overall accuracy over 22 provincial administrative regions was 79.38 % on average based on 18,557 samples, and at the county level, the correlation coefficient (R2) between the identified area and the statistical area from 2001 to 2020 ranged from 0.657 to 0.903.classification system:0: non-maize1: maize
description: The dataset is a long-term, high-resolution maize distribution map for China (China Crop Dataset–Maize, CCD-Maize), which contains the distribution maps of maize in 22 provinces and municipalities of China from 2001 to 2020. The file format is GeoTIFF and the spatial reference is WGS84 (EPSG:4326). The resolution of the distribution maps is 30-m. The distribution maps are produced using the time-weighted dynamic time warping (TWDTW) method based on a high spatiotemporal resolution fused dataset. The overall accuracy over 22 provincial administrative regions was 79.38 % on average based on 18,557 samples, and at the county level, the correlation coefficient (R2) between the identified area and the statistical area from 2001 to 2020 ranged from 0.657 to 0.903.classification system:0: non-maize1: maize
DOI: 10.57760/sciencedb.08268
title: 30-m paddy rice maps in Heilongjiang Province of China from 1990 to 2020
title: 30-m paddy rice maps in Heilongjiang Province of China from 1990 to 2020

description: This dataset is the dataset of paddy rice maps in Heilongjiang Province of China from 1990 to 2020 at the 5-year interval. This dataset is produced using a novel method called the Phenology-assisted Supervised Paddy Rice (PSPR) mapping method based on the Landsat images on Google Earth Engine.
description: This dataset is the dataset of paddy rice maps in Heilongjiang Province of China from 1990 to 2020 at the 5-year interval. This dataset is produced using a novel method called the Phenology-assisted Supervised Paddy Rice (PSPR) mapping method based on the Landsat images on Google Earth Engine.
DOI: 10.57760/sciencedb.o00119.00050
title: A dataset of water, heat, and carbon fluxes over the winter wheat-summer maize croplands in Luancheng during 2013–2017
title: 2013–2017年栾城冬小麦–夏玉米农田水热碳通量观测数据集

description: The winter wheat-summer maize double-cropping agro-ecosystem holds the largest planting area in the North China Plain. The carbon and water flux observation data of the croplands are crucial to understanding regional carbon and water cycles and their regulation mechanism. Located in the piedmont Plain of Taihang Mountain, Luancheng Agro-ecosystem Experimental Station (Luancheng Station) is the typical groundwater irrigation district. We have been using the eddy covariance technology to carry out the observation work of the winter-summer maize croplands since October 2007. This is the dataset of water, heat, and carbon fluxes over the winter wheat-summer maize croplands in Luancheng from October 2013 to September 2017 (covering four complete growing seasons). The dataset includes latent heat flux (or evapotranspiration), sensible heat flux, net ecosystem exchange of CO2, solar radiation, photosynthetically active radiation, air temperature/humidity, precipitation, soil temperature and volumetric soil water content at the half-hourly, daily, crop-season, and crop-year scales. The network observation, quality control and storage process of this dataset strictly abide by ChinaFLUX data management technology system to ensure data reliability. This dataset can provide solid data support for deeply understanding the processes of water, heat and carbon exchange, and improving the management of water resource to relieve the overdraft of groundwater in North China.
description: The winter wheat-summer maize double-cropping agro-ecosystem holds the largest planting area in the North China Plain. The carbon and water flux observation data of the croplands are crucial to understanding regional carbon and water cycles and their regulation mechanism. Located in the piedmont Plain of Taihang Mountain, Luancheng Agro-ecosystem Experimental Station (Luancheng Station) is the typical groundwater irrigation district. We have been using the eddy covariance technology to carry out the observation work of the winter-summer maize croplands since October 2007. This is the dataset of water, heat, and carbon fluxes over the winter wheat-summer maize croplands in Luancheng from October 2013 to September 2017 (covering four complete growing seasons). The dataset includes latent heat flux (or evapotranspiration), sensible heat flux, net ecosystem exchange of CO2, solar radiation, photosynthetically active radiation, air temperature/humidity, precipitation, soil temperature and volumetric soil water content at the half-hourly, daily, crop-season, and crop-year scales. The network observation, quality control and storage process of this dataset strictly abide by ChinaFLUX data management technology system to ensure data reliability. This dataset can provide solid data support for deeply understanding the processes of water, heat and carbon exchange, and improving the management of water resource to relieve the overdraft of groundwater in North China.