cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.19689
title: MuSyQ Global Leaf Chlorophyll Content product with 100m/10 days resolution(2021)
title: MuSyQ全球100m/10天分辨率叶片叶绿素含量产品(2021)

description: Leaf chlorophyll content (LCC) indicates the photosynthetic capacity of green vegetation, which is one of the most important biochemical parameters for ecosystem monitoring. Remote sensing is the only tool for obtaining global-scale LCC information. Over the past five years, researchers have produced several global LCC products. However, the spatial resolutions of existing products range from 300m to 500m, which is insufficient for detailed monitoring needs. This dataset utilizes the Chlorophyll Sensitive Index (CSI) to produce a global LCC product with a 100m/10 days resolution in 2021, based on vegetation type-specific empirical relationships using Sentinel-2 data. Existing research results show that this algorithm demonstrates high accuracy, efficiency, and stability in estimating LCC, making it suitable for the production of global LCC products, and it has the potential to generate higher-resolution global LCC products.
description: Leaf chlorophyll content (LCC) indicates the photosynthetic capacity of green vegetation, which is one of the most important biochemical parameters for ecosystem monitoring. Remote sensing is the only tool for obtaining global-scale LCC information. Over the past five years, researchers have produced several global LCC products. However, the spatial resolutions of existing products range from 300m to 500m, which is insufficient for detailed monitoring needs. This dataset utilizes the Chlorophyll Sensitive Index (CSI) to produce a global LCC product with a 100m/10 days resolution in 2021, based on vegetation type-specific empirical relationships using Sentinel-2 data. Existing research results show that this algorithm demonstrates high accuracy, efficiency, and stability in estimating LCC, making it suitable for the production of global LCC products, and it has the potential to generate higher-resolution global LCC products.
DOI: 10.57760/sciencedb.19692
title: MuSyQ Global Leaf Chlorophyll Content product with 100m/10 days resolution(2023)
title: MuSyQ全球100m/10天分辨率叶片叶绿素含量产品(2023)

description: Leaf chlorophyll content (LCC) indicates the photosynthetic capacity of green vegetation, which is one of the most important biochemical parameters for ecosystem monitoring. Remote sensing is the only tool for obtaining global-scale LCC information. Over the past five years, researchers have produced several global LCC products. However, the spatial resolutions of existing products range from 300m to 500m, which is insufficient for detailed monitoring needs. This dataset utilizes the Chlorophyll Sensitive Index (CSI) to produce a global LCC product with a 100m/10 days resolution in 2023, based on vegetation type-specific empirical relationships using Sentinel-2 data. Existing research results show that this algorithm demonstrates high accuracy, efficiency, and stability in estimating LCC, making it suitable for the production of global LCC products, and it has the potential to generate higher-resolution global LCC products.
description: Leaf chlorophyll content (LCC) indicates the photosynthetic capacity of green vegetation, which is one of the most important biochemical parameters for ecosystem monitoring. Remote sensing is the only tool for obtaining global-scale LCC information. Over the past five years, researchers have produced several global LCC products. However, the spatial resolutions of existing products range from 300m to 500m, which is insufficient for detailed monitoring needs. This dataset utilizes the Chlorophyll Sensitive Index (CSI) to produce a global LCC product with a 100m/10 days resolution in 2023, based on vegetation type-specific empirical relationships using Sentinel-2 data. Existing research results show that this algorithm demonstrates high accuracy, efficiency, and stability in estimating LCC, making it suitable for the production of global LCC products, and it has the potential to generate higher-resolution global LCC products.
DOI: 10.57760/sciencedb.13343
title: Non-targeted metabolomic data
title: Non-targeted metabolomic data

description: Non-targeted metabolomic data of gut microbiota and epithelial tissues from mice exposed to PLA-MPs
description: Non-targeted metabolomic data of gut microbiota and epithelial tissues from mice exposed to PLA-MPs
DOI: 10.57760/sciencedb.13338
title: SCFAs data
title: SCFAs data

description: Short-chain fatty acid targeted metabolomics data of mouse gut microbiota
description: Short-chain fatty acid targeted metabolomics data of mouse gut microbiota
DOI: 10.57760/sciencedb.07104
title: Annual mean PM2.5 concentration dataset of 342 Chinese cities (2000-2024)
title: 中国342城市PM2.5年均浓度数据集（2000-2024年）

description: Air pollution is one of China's most serious environmental issues, seriously affecting human health and well-being. However, the detection of PM2.5 began in most Chinese cities after 2013, and data in some cities are missing. First, we collected global ground-observed PM2.5 concentration data calibrated using geographically weighted regression at Washington University in St. Louis and data from air quality monitoring stations in China. Using the zonal statistics tool in ArcGIS software, the annual average PM2.5 concentration datasets of 342 administrative units (prefecture-level cities and regions) in China from 2000 to 2024 were calculated. This dataset could support some research on air pollution control and urban environmental regulation in China, and can also provide references for the assessment of local government's environmental performance.
description: Air pollution is one of China's most serious environmental issues, seriously affecting human health and well-being. However, the detection of PM2.5 began in most Chinese cities after 2013, and data in some cities are missing. First, we collected global ground-observed PM2.5 concentration data calibrated using geographically weighted regression at Washington University in St. Louis and data from air quality monitoring stations in China. Using the zonal statistics tool in ArcGIS software, the annual average PM2.5 concentration datasets of 342 administrative units (prefecture-level cities and regions) in China from 2000 to 2024 were calculated. This dataset could support some research on air pollution control and urban environmental regulation in China, and can also provide references for the assessment of local government's environmental performance.
DOI: 10.57760/sciencedb.07464
title: Human Demand Index Dataset of 341 Cities in China (2000-2020)
title: 中国341城市人类需求指数数据集（2000-2020年）

description: The supply-demand relationship between humans and nature has a direct impact on sustainable development and human well-being. Drawing on Maslow's Hierarchy of Needs, we selected 12 indicators related to human socio-economic activities to reflect the human demand degree for ecosystems. For better cross-sectional comparison, all indicators are per capita or relative quantities, including: population density, proportion of urban population, retail sales of social consumer goods per capita, electricity consumption per capita, built-up area per capita, water consumption per capita, green area per capita, wastewater emissions per capita, sulphur dioxide emissions per capita, carbon dioxide emissions per capita and fertilizer use intensity. All data were then standardized by level difference, and the indicator weights were determined using the entropy method and hierarchical analysis. Finally, the Human Demand Index (HMDI) of 341 cities in China from 2000 to 2020 was calculated. The dataset is stored in .shp and .xls formats, and the size is 30.4 MB. The dataset could support ecosystem protection, resource and environmental carrying capacity accounting, urban sustainable development policies, etc. It could also be used for other studies.
description: The supply-demand relationship between humans and nature has a direct impact on sustainable development and human well-being. Drawing on Maslow's Hierarchy of Needs, we selected 12 indicators related to human socio-economic activities to reflect the human demand degree for ecosystems. For better cross-sectional comparison, all indicators are per capita or relative quantities, including: population density, proportion of urban population, retail sales of social consumer goods per capita, electricity consumption per capita, built-up area per capita, water consumption per capita, green area per capita, wastewater emissions per capita, sulphur dioxide emissions per capita, carbon dioxide emissions per capita and fertilizer use intensity. All data were then standardized by level difference, and the indicator weights were determined using the entropy method and hierarchical analysis. Finally, the Human Demand Index (HMDI) of 341 cities in China from 2000 to 2020 was calculated. The dataset is stored in .shp and .xls formats, and the size is 30.4 MB. The dataset could support ecosystem protection, resource and environmental carrying capacity accounting, urban sustainable development policies, etc. It could also be used for other studies.
DOI: 10.57760/sciencedb.07233
title: Suppression of mosquito Aedes aegypti population using a CRISPR-targeted leucine aminopeptidase 1 mutation
title: Suppression of mosquito Aedes aegypti population using a CRISPR-targeted leucine aminopeptidase 1 mutation

description: The spermathecae from 2000 individual mosquitoes at the virgin, 72 h PE, and 5 days PBM stages were pooled for the construction of a spectral library. In addition, the spermathecae from 500 individual mosquitoes at the same time point as described above were collected for sequencing. Then, sequencing was performed by Beijing Protein Innovation Co., Ltd. In brief, the protein is first extracted, enzymatically digested, and purified. The enzymatically digested peptides are then subjected to a shotgun assay, followed by a database search to obtain protein characterization results. Based on the shotgun results, mass spectrometry parameters such as the scan interval of the DIA are determined and the sample is subjected to DIA. The results of the shotgun search were used to build a library of ion spectra (ion library) and the detected spectra of the DIA samples were matched and quantitative information was extracted from the ion library using Peakview. Finally, the protein results from Peakview were statistically analyzed to obtain the results of the analysis of variance.
description: The spermathecae from 2000 individual mosquitoes at the virgin, 72 h PE, and 5 days PBM stages were pooled for the construction of a spectral library. In addition, the spermathecae from 500 individual mosquitoes at the same time point as described above were collected for sequencing. Then, sequencing was performed by Beijing Protein Innovation Co., Ltd. In brief, the protein is first extracted, enzymatically digested, and purified. The enzymatically digested peptides are then subjected to a shotgun assay, followed by a database search to obtain protein characterization results. Based on the shotgun results, mass spectrometry parameters such as the scan interval of the DIA are determined and the sample is subjected to DIA. The results of the shotgun search were used to build a library of ion spectra (ion library) and the detected spectra of the DIA samples were matched and quantitative information was extracted from the ion library using Peakview. Finally, the protein results from Peakview were statistically analyzed to obtain the results of the analysis of variance.
DOI: 10.57760/sciencedb.09199
title: Network indices of trap nest in BEF-China
title: Network indices of trap nest in BEF-China

description: The data was collected from BEF-China for five years (2015, 2016, 2018, 2019, 2020).
description: The data was collected from BEF-China for five years (2015, 2016, 2018, 2019, 2020).
DOI: 10.57760/sciencedb.17518
title: The Role of Regional Ownership Structure in Firm Formation in China: Effects of Related Versus Unrelated Variety
title: The Role of Regional Ownership Structure in Firm Formation in China: Effects of Related Versus Unrelated Variety

description: This study examines the impact of industrial variety on firm formation in China, with a particular focus on the moderating role of state-owned enterprises (SOEs). Utilizing a firm-level dataset from China’s manufacturing sector (2000–2013) and employing a negative binomial regression model with fixed effects, we find that both related variety and unrelated variety positively influence firm formation. The positive impact of related variety on firm formation is more pronounced in regions with a high share of state-owned enterprises (SOEs), whereas that of unrelated variety on firm formation is more pronounced in areas with a lower share of SOEs. Further, a heterogeneity analysis uncovers significant regional differences in these relationships. Theoretically, this study introduces the role of regional ownership structure in the research on industrial variety and regional entrepreneurship, sparking new dialogues on how state involvement shapes firm formation dynamics in transition economies. Policy implications are given.
description: This study examines the impact of industrial variety on firm formation in China, with a particular focus on the moderating role of state-owned enterprises (SOEs). Utilizing a firm-level dataset from China’s manufacturing sector (2000–2013) and employing a negative binomial regression model with fixed effects, we find that both related variety and unrelated variety positively influence firm formation. The positive impact of related variety on firm formation is more pronounced in regions with a high share of state-owned enterprises (SOEs), whereas that of unrelated variety on firm formation is more pronounced in areas with a lower share of SOEs. Further, a heterogeneity analysis uncovers significant regional differences in these relationships. Theoretically, this study introduces the role of regional ownership structure in the research on industrial variety and regional entrepreneurship, sparking new dialogues on how state involvement shapes firm formation dynamics in transition economies. Policy implications are given.
DOI: 10.57760/sciencedb.20841
title: Cortical Contributions to Local and Global Biological Motion Perception: Insights from Transcranial Magnetic Stimulation
title: Cortical Contributions to Local and Global Biological Motion Perception: Insights from Transcranial Magnetic Stimulation

description: Humans have an extraordinary ability to detect and recognize biological motion (BM). This sophisticated perception relies on two fundamental visual cues: local kinematics and global structure-from-motion information, which are processed along subcortical-cortical pathways. However, it remains unclear how key motion-sensitive regions, such as the posterior superior temporal sulcus (pSTS) and the medial temporal complex (MT+), contribute to the processing of distinct BM cues. In this study, we employed transcranial magnetic stimulation (TMS) to explore the causal roles of these two cortical regions in BM perception. TMS was delivered to the pSTS and MT+, which were individually localized in the right hemisphere, and participants performed direction discrimination tasks with intact BM, scrambled BM, and simple coherent motion stimuli. Results demonstrated that TMS over the pSTS selectively impaired intact BM discrimination, whereas MT+ stimulation only disrupted coherent motion perception. Importantly, neither site showed significant impairment in scrambled BM direction discrimination. These findings suggest that while pSTS and MT+ are critical for global BM and coherent motion perception, respectively, they are not obligatory for local BM processing. The detection of local BM signals may rely on a specialized mechanism operating at an early stage of visual processing.
description: Humans have an extraordinary ability to detect and recognize biological motion (BM). This sophisticated perception relies on two fundamental visual cues: local kinematics and global structure-from-motion information, which are processed along subcortical-cortical pathways. However, it remains unclear how key motion-sensitive regions, such as the posterior superior temporal sulcus (pSTS) and the medial temporal complex (MT+), contribute to the processing of distinct BM cues. In this study, we employed transcranial magnetic stimulation (TMS) to explore the causal roles of these two cortical regions in BM perception. TMS was delivered to the pSTS and MT+, which were individually localized in the right hemisphere, and participants performed direction discrimination tasks with intact BM, scrambled BM, and simple coherent motion stimuli. Results demonstrated that TMS over the pSTS selectively impaired intact BM discrimination, whereas MT+ stimulation only disrupted coherent motion perception. Importantly, neither site showed significant impairment in scrambled BM direction discrimination. These findings suggest that while pSTS and MT+ are critical for global BM and coherent motion perception, respectively, they are not obligatory for local BM processing. The detection of local BM signals may rely on a specialized mechanism operating at an early stage of visual processing.
DOI: 10.57760/sciencedb.13897
title: trait, ddRAD data and cpDNA trnL-F of Rhododendron × duclouxii
title: trait, ddRAD data and cpDNA trnL-F of Rhododendron × duclouxii

description: trait, ddRAD-seq data and cpDNA trnL-F data for seven hybrid zones of Rhododendron × duclouxii
description: trait, ddRAD-seq data and cpDNA trnL-F data for seven hybrid zones of Rhododendron × duclouxii
DOI: 10.57760/sciencedb.agriculture.00117
title: Construction Dataset of Knowledge Map of main Crops Approved Varieties in Guangdong Province from 2016 to 2023
title: 2016—2023年广东省主要农作物审定品种知识图谱构建数据集

description: Seed industry is a national strategic and basic core industry, and the development of seed industry in China is entering a new era of intelligent breeding, so it is necessary to make full use of the advantages of germplasm resources and further transform them into the advantages of breeding innovation. This data set is based on the basic data of crop varieties approved in Guangdong Province over the years. After collecting, cleaning, transforming and merging, a total of 823 pieces of data of rice, corn and soybean are finally formed. Each piece of data includes the characteristics of its variety source, hybrid line and maturity system, and each type of data is saved in two formats:. xslx and. json. This data set can be used to construct the knowledge map of crop seed industry and provide domain data support for breeding innovation.
description: Seed industry is a national strategic and basic core industry, and the development of seed industry in China is entering a new era of intelligent breeding, so it is necessary to make full use of the advantages of germplasm resources and further transform them into the advantages of breeding innovation. This data set is based on the basic data of crop varieties approved in Guangdong Province over the years. After collecting, cleaning, transforming and merging, a total of 823 pieces of data of rice, corn and soybean are finally formed. Each piece of data includes the characteristics of its variety source, hybrid line and maturity system, and each type of data is saved in two formats:. xslx and. json. This data set can be used to construct the knowledge map of crop seed industry and provide domain data support for breeding innovation.
DOI: 10.57760/sciencedb.20871
title: Self-developed all-reflective FROG result data
title: 自研全反射式FROG结果数据

description: Sample the raw data using Labview, reconstruct the pulse with high confidence using Ptychographic algorithm, and implement it in Matlab. Simulate the reconstructed pulse using nonlinear Schr ö dinger equation to verify the reliability of the data. 
description: Sample the raw data using Labview, reconstruct the pulse with high confidence using Ptychographic algorithm, and implement it in Matlab. Simulate the reconstructed pulse using nonlinear Schr ö dinger equation to verify the reliability of the data.
DOI: 10.57760/sciencedb.17496
title: Data set for Full-spectrum in-situ sensing buoy for surface water quality monitoring and pollution tracking.
title: Data set for Full-spectrum in-situ sensing buoy for surface water quality monitoring and pollution tracking.

description: This dataset comprises optical spectrum data and comprehensive water quality parameters, including turbidity, colorfulness, and nitrate composition, collected from diverse aquatic ecosystems in China: Weijin River, Jingye Lake, Xinkai Lake, Qingnian Lake (Tianjin), and the Huangbizhuang Reservoir (Shijiazhuang). The data were obtained using an innovative full-spectrum in-situ sensing buoy designed for real-time monitoring of surface water quality and pollution tracking. The dataset also includes multivariate statistical analyses such as PCA and FA, enabling insights into pollution sources and water quality patterns.
description: This dataset comprises optical spectrum data and comprehensive water quality parameters, including turbidity, colorfulness, and nitrate composition, collected from diverse aquatic ecosystems in China: Weijin River, Jingye Lake, Xinkai Lake, Qingnian Lake (Tianjin), and the Huangbizhuang Reservoir (Shijiazhuang). The data were obtained using an innovative full-spectrum in-situ sensing buoy designed for real-time monitoring of surface water quality and pollution tracking. The dataset also includes multivariate statistical analyses such as PCA and FA, enabling insights into pollution sources and water quality patterns.
DOI: 10.57760/sciencedb.18664
title: Wild boar ephemeroviruses in wild boars in China
title: Wild boar ephemeroviruses in wild boars in China

description: Four complete genome sequences of WbEV were recovered by meta-transcriptomic (MTT) analysis.Sequencing Technology is Illumina.
description: Four complete genome sequences of WbEV were recovered by meta-transcriptomic (MTT) analysis.Sequencing Technology is Illumina.
DOI: 10.57760/sciencedb.21041
title: 165Ho neutron capture cross-section data based on CSNS backn
title: 基于CSNS backn的165Ho中子俘获截面数据

description: This data is the 165Ho neutron capture cross-section data measured using the total energy detection system C6D6 in the CSNS Back-n .The measurement time is May 2022, with a total beam measurement time of 100 hours. The measurement time for different samples varies, for example, the measurement time for sample 165Ho is 52 hours and 56 minutesThe data in this dataset is mainly generated and calculated using the Cern root 5.34/34 program.
description: This data is the 165Ho neutron capture cross-section data measured using the total energy detection system C6D6 in the CSNS Back-n .The measurement time is May 2022, with a total beam measurement time of 100 hours. The measurement time for different samples varies, for example, the measurement time for sample 165Ho is 52 hours and 56 minutesThe data in this dataset is mainly generated and calculated using the Cern root 5.34/34 program.