cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.06814
title: High-efficiency extracellular-vesicle-engineering by silicate-bioceramics-activating endothelial progenitor cells for myocardial infarction treatment in male mice
title: High-efficiency extracellular-vesicle-engineering by silicate-bioceramics-activating endothelial progenitor cells for myocardial infarction treatment in male mice

description: Extracellular vesicles have shown good potential in disease treatments, including those of ischemic injury such as myocardial infarction. However, the efficient production of highly active extracellular vesicles is one of the critical limitations for their clinical applications. Here, we demonstrate a biomaterial-based approach to prepare high amounts of extracellular vesicles with high bioactivity from endothelial progenitor cells (EPCs) by stimulation with silicate ions derived from bioactive ceramics. We further show that highly active extracellular vesicles containing hydrogel microspheres are highly effective in the treatment of myocardial infarction in male mice by significantly enhancing angiogenesis. This therapeutic effect is attributed to significantly enhanced revascularization by the high content of miR-126a-3p and angiogenic factors such as VEGF and SDF-1, CXCR4 and eNOS, which not only activate endothelial cells but also recruit EPCs from the circulatory system.
description: Extracellular vesicles have shown good potential in disease treatments, including those of ischemic injury such as myocardial infarction. However, the efficient production of highly active extracellular vesicles is one of the critical limitations for their clinical applications. Here, we demonstrate a biomaterial-based approach to prepare high amounts of extracellular vesicles with high bioactivity from endothelial progenitor cells (EPCs) by stimulation with silicate ions derived from bioactive ceramics. We further show that highly active extracellular vesicles containing hydrogel microspheres are highly effective in the treatment of myocardial infarction in male mice by significantly enhancing angiogenesis. This therapeutic effect is attributed to significantly enhanced revascularization by the high content of miR-126a-3p and angiogenic factors such as VEGF and SDF-1, CXCR4 and eNOS, which not only activate endothelial cells but also recruit EPCs from the circulatory system.
DOI: 10.57760/sciencedb.07254
title: Scheme for the excitation of thorium-229 nuclei based on electronic bridge excitation
title: Scheme for the excitation of thorium-229 nuclei based on electronic bridge excitation

description: Thorium-229 possesses the lowest first nuclear excited state, with an energy of approximately 8 eV. The extremely narrow linewidth of the first nuclear excited state, with an uncertainty of 53 THz, prevents direct laser excitation and realization of the nuclear clock. We present a proposal using the Coulomb crystal of a linear chain formed by 229Th3+ ions, where the nuclei of 229Th3+ ions in the ion trap are excited by the electronic bridge (EB) process. The 7P1/2 state of the thorium-229 nuclear ground state is chosen for EB excitation. Using the two-level optical Bloch equation under experimental conditions, we calculate that two out of 36 prepared thorium ions in the Coulomb crystal can be excited to the first nuclear excited state, and it takes approximately 2 h to scan over an uncertainty of 0.22 eV. Taking advantage of the transition enhancement of EB and the long stability of the Coulomb crystal, the energy uncertainty of the first excited state can be limited to the order of 1 GHz.
description: Thorium-229 possesses the lowest first nuclear excited state, with an energy of approximately 8 eV. The extremely narrow linewidth of the first nuclear excited state, with an uncertainty of 53 THz, prevents direct laser excitation and realization of the nuclear clock. We present a proposal using the Coulomb crystal of a linear chain formed by 229Th3+ ions, where the nuclei of 229Th3+ ions in the ion trap are excited by the electronic bridge (EB) process. The 7P1/2 state of the thorium-229 nuclear ground state is chosen for EB excitation. Using the two-level optical Bloch equation under experimental conditions, we calculate that two out of 36 prepared thorium ions in the Coulomb crystal can be excited to the first nuclear excited state, and it takes approximately 2 h to scan over an uncertainty of 0.22 eV. Taking advantage of the transition enhancement of EB and the long stability of the Coulomb crystal, the energy uncertainty of the first excited state can be limited to the order of 1 GHz.
DOI: 10.57760/sciencedb.o00119.00072
title: A dataset of biomass of the alpine Kobresia humilis (2002–2020) observed at the CO2 flux monitoring station in Haibei, China
title: 海北CO2通量监测站高寒矮生嵩草草甸生物量监测数据集（2002–2020年）

description: This data set covers the CO2 flux monitoring station of Haibei Station from 2002 to 2020 in early May, Early or late June to September and mid-October each year. 12 periods of biomass monitoring data of alpine Kobresia humilis meadow were collected as EXCEL files. The biomass monitoring data of Kobresia humilis were aboveground (green grass, dead grass, debris) and underground (0-10cm, 10-20cm, 20-40cm). The data is retained to two decimal places in g/m2. For lack of test data in the "empty", or due to causes such as the sample lost data measurement, data set corresponding cell expressed as a blank.
description: This data set covers the CO2 flux monitoring station of Haibei Station from 2002 to 2020 in early May, Early or late June to September and mid-October each year. 12 periods of biomass monitoring data of alpine Kobresia humilis meadow were collected as EXCEL files. The biomass monitoring data of Kobresia humilis were aboveground (green grass, dead grass, debris) and underground (0-10cm, 10-20cm, 20-40cm). The data is retained to two decimal places in g/m2. For lack of test data in the "empty", or due to causes such as the sample lost data measurement, data set corresponding cell expressed as a blank.
DOI: 10.57760/sciencedb.o00119.00073
title: A dataset of biomass of the alpine shrub meadow (2003–2020) observed at the CO2 flux monitoring station in Haibei, China
title: 海北CO2通量监测站高寒灌丛草甸生物量监测数据集（2003–2020年）

description: This data set covers the CO2 flux monitoring station of Haibei Station from 2002 to 2020 in early May, Early or late June to September and mid-October each year. 12 periods of biomass monitoring data of alpine shrub meadow were collected as EXCEL files. The biomass monitoring data of shrub were aboveground (green grass, dead grass, debris) and underground (0-10cm, 10-20cm, 20-40cm). The data is retained to two decimal places in g/m2. For lack of test data in the "empty", or due to causes such as the sample lost data measurement, data set corresponding cell expressed as a blank.
description: This data set covers the CO2 flux monitoring station of Haibei Station from 2002 to 2020 in early May, Early or late June to September and mid-October each year. 12 periods of biomass monitoring data of alpine shrub meadow were collected as EXCEL files. The biomass monitoring data of shrub were aboveground (green grass, dead grass, debris) and underground (0-10cm, 10-20cm, 20-40cm). The data is retained to two decimal places in g/m2. For lack of test data in the "empty", or due to causes such as the sample lost data measurement, data set corresponding cell expressed as a blank.
DOI: 10.57760/sciencedb.06162
title: The captured up-conversion fluorescence patterns of polygon mode
title: The captured up-conversion fluorescence patterns of polygon mode

description: The captured up-conversion fluorescence patterns directly reflect the spatial distribution characteristics of the pump mode.
description: The captured up-conversion fluorescence patterns directly reflect the spatial distribution characteristics of the pump mode.
DOI: 10.57760/sciencedb.06829
title: A dataset of the observations of carbon and water fluxes in the paddy fields of Panjin (2018–2020)
title: 盘锦芦苇湿地碳水通量2018-2020年数据集

description: etland possesses super carbon sink, active water vapor exchange and heat regulation capacity, which functions as a key ecosystem for stabilizing greenhouse gas emissions and mitigating climate change. Although the Liaohe River Delta wetland is the largest warm temperate coastal wetland in Asia, the long-term carbon and water fluxes in the wetland are not deeply studied, which affects the simulation accuracy of CO2 fluxes and regional carbon sinks in this region.However, the study of long-term carbon and water fluxes in the Liaohe River Delta reed wetland area is still insufficient, and long-term data monitoring and sorting are urgently needed.This dataset is the flux data of the reed wetland ecosystem in the Liaohe River Delta from 2018 to 2020, collected from the Panjin Reed Wetland Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of the China Flux Observation and Research Network (ChinaFLUX), standardized datasets of water fluxes of ecosystem carbon and key meteorological elements are established, including data files collected at half an hour, day, month and year scales. This dataset is of great significance for accurately evaluating the status and role of carbon and water fluxes in the rice field ecosystem of the Liaohe Delta in the regional and global carbon and water cycles.
description: etland possesses super carbon sink, active water vapor exchange and heat regulation capacity, which functions as a key ecosystem for stabilizing greenhouse gas emissions and mitigating climate change. Although the Liaohe River Delta wetland is the largest warm temperate coastal wetland in Asia, the long-term carbon and water fluxes in the wetland are not deeply studied, which affects the simulation accuracy of CO2 fluxes and regional carbon sinks in this region.However, the study of long-term carbon and water fluxes in the Liaohe River Delta reed wetland area is still insufficient, and long-term data monitoring and sorting are urgently needed.This dataset is the flux data of the reed wetland ecosystem in the Liaohe River Delta from 2018 to 2020, collected from the Panjin Reed Wetland Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of the China Flux Observation and Research Network (ChinaFLUX), standardized datasets of water fluxes of ecosystem carbon and key meteorological elements are established, including data files collected at half an hour, day, month and year scales. This dataset is of great significance for accurately evaluating the status and role of carbon and water fluxes in the rice field ecosystem of the Liaohe Delta in the regional and global carbon and water cycles.
DOI: 10.57760/sciencedb.06495
title: Raw data from the study "Dietary intake of table olives exerts antihypertensive effects in association with changes in gut microbiota in spontaneously hypertensive rats"
title: Raw data from the study "Dietary intake of table olives exerts antihypertensive effects in association with changes in gut microbiota in spontaneously hypertensive rats"

description: The composition of the fecal microbiota of spontaneously hypertensive rats (SHR-c) and normotensive Wistar-Kyoto rats (WKY-c) at 14 and 21 weeks of age was studied. In addition, the effect of administration of arbequina variety table olives for 7 weeks on the intestinal microbiota of SHR (SHR-o) and its relationship with changes in blood pressure was analysed.Stool samples were collected from SHR-c, WKY-c at 14 and 21 weeks of age and from SHR-o at 21 weeks of age. 16S rRNA gene raw reads of the v3-v4 region of the 16S rRNA gene were obtained from these samples using the Illumina platform.The body weight of the rats as well as food and water consumption were measured at 14 and 21 weeks of age.Systolic blood pressure (SBP), diastolic blood pressure (DBP) and heart rate (HR) were determined in WKY-c, SHR-c and SHR-o rats at 14 and 21 weeks of age. Measurements were performed using a non-invasive automatic PA analyser for rodents (LE5001 Harvard Apparatus, Panlab, Barcelona, Spain) as previously described.Plasma samples from WKY-c, SHR-c and SHR-o were used to determine malondialdehyde (MDA) at the end of the study by the method described by Ohkawa et al. (1979).
description: The composition of the fecal microbiota of spontaneously hypertensive rats (SHR-c) and normotensive Wistar-Kyoto rats (WKY-c) at 14 and 21 weeks of age was studied. In addition, the effect of administration of arbequina variety table olives for 7 weeks on the intestinal microbiota of SHR (SHR-o) and its relationship with changes in blood pressure was analysed.Stool samples were collected from SHR-c, WKY-c at 14 and 21 weeks of age and from SHR-o at 21 weeks of age. 16S rRNA gene raw reads of the v3-v4 region of the 16S rRNA gene were obtained from these samples using the Illumina platform.The body weight of the rats as well as food and water consumption were measured at 14 and 21 weeks of age.Systolic blood pressure (SBP), diastolic blood pressure (DBP) and heart rate (HR) were determined in WKY-c, SHR-c and SHR-o rats at 14 and 21 weeks of age. Measurements were performed using a non-invasive automatic PA analyser for rodents (LE5001 Harvard Apparatus, Panlab, Barcelona, Spain) as previously described.Plasma samples from WKY-c, SHR-c and SHR-o were used to determine malondialdehyde (MDA) at the end of the study by the method described by Ohkawa et al. (1979).
DOI: 10.57760/sciencedb.06930
title: Remote sensing monitoring data set of main crop planting distribution in Sanjiang Plain from 2020 to 2022
title: 2020-2022年三江平原主要农作物种植分布遥感监测数据集

description: The Sanjiang Plain, with its vast fertile black land, is an important commodity grain base in China. The per capita cultivated land area and per capita grain output are five times the national average. Accurate crop acreage information is of great significance for understanding regional food security and agricultural development planning in Sanjiang Plain. In this paper, the Sentinel-2 satellite remote sensing data of time series and the survey data of typical ground features in Sanjiang Plain were used to screen the feature bands of major crops and surrounding typical ground features, and the remote sensing monitoring data set of planting distribution of major crops (rice, corn and soybean) in Sanjiang Plain from 2020 to 2022 was extracted by using the random forest classification algorithm. Field investigation data verified that the overall accuracy of the three crops extraction in 2020, 2021 and 2022 were 95.18%, 95.0% and 94.5%, respectively, and the Kappa coefficients were 0.924, 0.925 and 0.919. This data set can not only be used as the basic data for the analysis of temporal and spatial changes of crop planting pattern in the Sanjiang Plain, but also provide information support for agricultural production management decision-making in the Sanjiang Plain, and serve the regional agricultural informatization construction and the protection and utilization of black land.
description: The Sanjiang Plain, with its vast fertile black land, is an important commodity grain base in China. The per capita cultivated land area and per capita grain output are five times the national average. Accurate crop acreage information is of great significance for understanding regional food security and agricultural development planning in Sanjiang Plain. In this paper, the Sentinel-2 satellite remote sensing data of time series and the survey data of typical ground features in Sanjiang Plain were used to screen the feature bands of major crops and surrounding typical ground features, and the remote sensing monitoring data set of planting distribution of major crops (rice, corn and soybean) in Sanjiang Plain from 2020 to 2022 was extracted by using the random forest classification algorithm. Field investigation data verified that the overall accuracy of the three crops extraction in 2020, 2021 and 2022 were 95.18%, 95.0% and 94.5%, respectively, and the Kappa coefficients were 0.924, 0.925 and 0.919. This data set can not only be used as the basic data for the analysis of temporal and spatial changes of crop planting pattern in the Sanjiang Plain, but also provide information support for agricultural production management decision-making in the Sanjiang Plain, and serve the regional agricultural informatization construction and the protection and utilization of black land.
DOI: 10.57760/sciencedb.06828
title: A dataset of the observations of carbon and water fluxes in the paddy fields of Panjin (2018–2020)
title: 盘锦稻田碳水通量2018-2020年数据集

description: Paddy fields play an important role in the study of agricultural land use and global carbon cycle. As one of the main rice producing areas in Northeast China, Liaohe River Delta provides a good experimental platform for the study of carbon and water cycle in Paddy fields. However, the study of long-term carbon and water fluxes in the Liaohe River Delta Paddy area is still insufficient, and long-term data monitoring and sorting are urgently needed.This dataset is the flux data of the paddy field ecosystem in the Liaohe River Delta from 2018 to 2020, collected from the Panjin Paddy Field Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of the China Flux Observation and Research Network (ChinaFLUX), standardized datasets of water fluxes of ecosystem carbon and key meteorological elements are established, including data files collected at half an hour, day, month and year scales. This dataset is of great significance to accurately evaluate the position and role of carbon and water fluxes of paddy field ecosystems in the regional and global carbohydrate circle in the Liaohe River Delta.This dataset is of great significance for accurately evaluating the status and role of carbon and water fluxes in the rice field ecosystem of the Liaohe Delta in the regional and global carbon and water cycles.
description: Paddy fields play an important role in the study of agricultural land use and global carbon cycle. As one of the main rice producing areas in Northeast China, Liaohe River Delta provides a good experimental platform for the study of carbon and water cycle in Paddy fields. However, the study of long-term carbon and water fluxes in the Liaohe River Delta Paddy area is still insufficient, and long-term data monitoring and sorting are urgently needed.This dataset is the flux data of the paddy field ecosystem in the Liaohe River Delta from 2018 to 2020, collected from the Panjin Paddy Field Research Station of the Northeast Ecological and Agrometeorological Field Experimental Base of China Meteorological Administration. Based on the data processing system of the China Flux Observation and Research Network (ChinaFLUX), standardized datasets of water fluxes of ecosystem carbon and key meteorological elements are established, including data files collected at half an hour, day, month and year scales. This dataset is of great significance to accurately evaluate the position and role of carbon and water fluxes of paddy field ecosystems in the regional and global carbohydrate circle in the Liaohe River Delta.This dataset is of great significance for accurately evaluating the status and role of carbon and water fluxes in the rice field ecosystem of the Liaohe Delta in the regional and global carbon and water cycles.
DOI: 10.57760/sciencedb.02994
title: VGenNet: Variable Generative Prior Enhanced Single Pixel Imaging
title: 可变生成网络增强的单像素成像

description: The VGenNet was implemented by using Python 3.9.7 on the platform of Pytorch(ver. 1.10), and sped up by using a graphics processing unit (NVIDIA A100). 
description: The VGenNet was implemented by using Python 3.9.7 on the platform of Pytorch(ver. 1.10), and sped up by using a graphics processing unit (NVIDIA A100).
DOI: 10.57760/sciencedb.07637
title: Genetic consistency (lower) and genetic distance (upper) of the 28 Rosa roxburghii Tratt populations
title: Genetic consistency (lower) and genetic distance (upper) of the 28 Rosa roxburghii Tratt populations

description: Genetic distances and genetic consistency between populations of Rosa roxburghii Tratt were calculated using GENALEX software and were obtained in Supplementary Table 1. 29 columns and 29 rows were included in the table, with the first row and column indicating the population, the lower left part indicating genetic consistency and the upper right part indicating genetic distances.
description: Genetic distances and genetic consistency between populations of Rosa roxburghii Tratt were calculated using GENALEX software and were obtained in Supplementary Table 1. 29 columns and 29 rows were included in the table, with the first row and column indicating the population, the lower left part indicating genetic consistency and the upper right part indicating genetic distances.
DOI: 10.57760/sciencedb.07655
title: Structure and spectroscopic properties of a disordered Nd:CaGdAl3O7 crystal
title: 无序Nd:CaGdAl3O7晶体的结构和光谱性能

description: 2022LW657 paper data set of Shanghai Institute of Optics and Mechanics, Chinese Acadmy of Sciences.The file is in ppt format, and the embedded image contains data, which can be opened with originlab.
description: 2022LW657 paper data set of Shanghai Institute of Optics and Mechanics, Chinese Acadmy of Sciences.The file is in ppt format, and the embedded image contains data, which can be opened with originlab.
DOI: 10.57760/sciencedb.07607
title: Laser spot picture simulated by the Monte Carlo method
title: 蒙特卡洛方法模拟激光光斑图片

description: Using Monte Carlo method simulation, an underwater laser signal channel transmission model is established to simulate underwater laser spot images under different target sizes, distances and water qualities, and analyze the influence of these three factors on the accuracy of underwater monocular ranging. Considering the influence of spot diffusion and contrast reduction in simulated images on ranging accuracy, a monocular ranging algorithm is proposed that combines image enhancement and Zernike moments sub-pixel edge detection for small-sized underwater light source targets to improve the accuracy of the monocular ranging algorithm. 
description: Using Monte Carlo method simulation, an underwater laser signal channel transmission model is established to simulate underwater laser spot images under different target sizes, distances and water qualities, and analyze the influence of these three factors on the accuracy of underwater monocular ranging. Considering the influence of spot diffusion and contrast reduction in simulated images on ranging accuracy, a monocular ranging algorithm is proposed that combines image enhancement and Zernike moments sub-pixel edge detection for small-sized underwater light source targets to improve the accuracy of the monocular ranging algorithm.