cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00124.00019
title: The influence factors of dielectric barrier discharge plasma to production of syngas derived from H2S‒CO2 acid gas
title: 介质阻挡放电等离子体转化H2S–CO2酸气制合成气的影响因素研究

description: H2S and CO2, two harmful acid waste gases, often co-exist in important chemical production such as coal-chemical industry, natural gas chemical industry and petrochemical industry, causing corrosion of industrial equipment and pipelines, and must be treated innocuously. Co-conversion of H2S‒CO2 mixed acid gas to syngas has been carried out using dielectric barrier discharge plasma-catalysis, which harmless the highly corrosive and toxic H2S and greenhouse gas CO2, and produces syngas. The effects of various parameters of the dielectric barrier discharge plasma reaction used for the one-step conversion of H2S‒CO2 to syngas were studied. Moreover, a comparative study of the different parameters was carried out. The internal relationship between the specific energy input (SEI), discharge form, discharge frequency, discharge gap and discharge length and the reaction performance of the conversion of H2S‒CO2 to syngas was investigated and revealed. On this basis, a multi-tube parallel dielectric barrier discharge plasma reaction system was designed and constructed.
description: H2S and CO2, two harmful acid waste gases, often co-exist in important chemical production such as coal-chemical industry, natural gas chemical industry and petrochemical industry, causing corrosion of industrial equipment and pipelines, and must be treated innocuously. Co-conversion of H2S‒CO2 mixed acid gas to syngas has been carried out using dielectric barrier discharge plasma-catalysis, which harmless the highly corrosive and toxic H2S and greenhouse gas CO2, and produces syngas. The effects of various parameters of the dielectric barrier discharge plasma reaction used for the one-step conversion of H2S‒CO2 to syngas were studied. Moreover, a comparative study of the different parameters was carried out. The internal relationship between the specific energy input (SEI), discharge form, discharge frequency, discharge gap and discharge length and the reaction performance of the conversion of H2S‒CO2 to syngas was investigated and revealed. On this basis, a multi-tube parallel dielectric barrier discharge plasma reaction system was designed and constructed.
DOI: 10.57760/sciencedb.08570
title: Golden pompano (Trachinotus blochii) TANK-binding kinase 1 (gpTBK1) mRNA
title: Golden pompano (Trachinotus blochii) TANK-binding kinase 1 (gpTBK1) mRNA

description: According to the genome sequences of golden pompano, gpTBK1 cDNA was amplified from head kidney cDNA library by 3' and 5' rapid amplification primer. The complete sequence of gpTBK1 cDNA consisted of 2495 bp, comprising an ORF of 2172 bp, a 5′-UTR of 89 bp and a 3′-UTR of 234 bp.
description: According to the genome sequences of golden pompano, gpTBK1 cDNA was amplified from head kidney cDNA library by 3' and 5' rapid amplification primer. The complete sequence of gpTBK1 cDNA consisted of 2495 bp, comprising an ORF of 2172 bp, a 5′-UTR of 89 bp and a 3′-UTR of 234 bp.
DOI: 10.57760/sciencedb.02122
title: data for an ERP study in morality-colour metaphor
title: data for an ERP study in morality-colour metaphor

description: There are data for an ERP study in morality-colour metaphor
description: There are data for an ERP study in morality-colour metaphor
DOI: 10.57760/sciencedb.07138
title: A dataset of carbon and water fluxes of the typical grasslands in Duolun County, Inner Mongolia during 2006-2015
title: 2006–2015年内蒙古多伦典型草原碳水通量观测数据集

description: Grassland is an important terrestrial ecosystem for the exchange of mass and energy between land and atmosphere, playing an important role in global carbon cycle. However, the direction and size of its carbon sink are still in dispute. The eddy covariance technique can be sued to continuously determine ecosystem-level carbon, water and energy exchanges between vegetation and atmosphere. The long-term observations of carbon and water fluxes can help quantify the carbon sequestration capability of grassland ecosystems and its response to climate change. This dataset consists of two half-hourly data files, including the carbon, water and heat fluxes data file and the meteorological variables data file. All of the flux data were processed according to the flux data processing procedure specified by ChinaFLUX. The observational quality of this dataset is good, with a complete data observation integrity of over 95% throughout the year and a high energy balance ratio (1.04 ± 0.07). This decadal flux dataset from 2006 to 2015 provides a high-quality and continuous long-term eddy flux observation data valuable for the research of diurnal dynamics, seasonal and interannual variations of carbon and water fluxes, which is significant for evaluating the role of China’s temperate typical grasslands in regional and global carbon and water cycles.
description: Grassland is an important terrestrial ecosystem for the exchange of mass and energy between land and atmosphere, playing an important role in global carbon cycle. However, the direction and size of its carbon sink are still in dispute. The eddy covariance technique can be sued to continuously determine ecosystem-level carbon, water and energy exchanges between vegetation and atmosphere. The long-term observations of carbon and water fluxes can help quantify the carbon sequestration capability of grassland ecosystems and its response to climate change. This dataset consists of two half-hourly data files, including the carbon, water and heat fluxes data file and the meteorological variables data file. All of the flux data were processed according to the flux data processing procedure specified by ChinaFLUX. The observational quality of this dataset is good, with a complete data observation integrity of over 95% throughout the year and a high energy balance ratio (1.04 ± 0.07). This decadal flux dataset from 2006 to 2015 provides a high-quality and continuous long-term eddy flux observation data valuable for the research of diurnal dynamics, seasonal and interannual variations of carbon and water fluxes, which is significant for evaluating the role of China’s temperate typical grasslands in regional and global carbon and water cycles.
DOI: 10.57760/sciencedb.06115
title: Sample survey dataset of typical plant communities in East Dongting Lake beach（2011–2015）
title: 2011–2015年东洞庭湖洲滩典型植物群落样方调查数据集

description: The data set consists of 4 tables, which are "Species Composition of Beach Plant Community" table, "Characteristics of Beach Plant Community" table, "Plot Information" table and "Plot Management Record" table. The table of"Species Composition of Beach Plant Community" table and "Characteristics of Beach Plant Community" recorded the species composition and community characteristics of three typical wetland plant communities (Carex sp, Miscanthus lutarioriparius and Polygonum hydropiper) in the long-term monitoring sample plots of Dongting Lake Station, contained 14 fields, which includes species name, Latin name, number of plants (clusters) (plants or clusters/quadrats), average height of leaf layer (cm), average height of reproductive branches (cm), coverage (%), phenological period, dominant species, number of plant species, density (plants or clusters/m2), leaf layer height (cm), reproductive branch height (cm), total coverage (%), and total dry weight of aboveground green parts (g/m2).
description: The data set consists of 4 tables, which are "Species Composition of Beach Plant Community" table, "Characteristics of Beach Plant Community" table, "Plot Information" table and "Plot Management Record" table. The table of"Species Composition of Beach Plant Community" table and "Characteristics of Beach Plant Community" recorded the species composition and community characteristics of three typical wetland plant communities (Carex sp, Miscanthus lutarioriparius and Polygonum hydropiper) in the long-term monitoring sample plots of Dongting Lake Station, contained 14 fields, which includes species name, Latin name, number of plants (clusters) (plants or clusters/quadrats), average height of leaf layer (cm), average height of reproductive branches (cm), coverage (%), phenological period, dominant species, number of plant species, density (plants or clusters/m2), leaf layer height (cm), reproductive branch height (cm), total coverage (%), and total dry weight of aboveground green parts (g/m2).
DOI: 10.57760/sciencedb.07079
title: Effects of a Nanonetwork-Structured Soil Conditioner on Microbial Community Structure
title: Effects of a Nanonetwork-Structured Soil Conditioner on Microbial Community Structure

description: The raw sequencing data include 16S and ITS results.
description: The raw sequencing data include 16S and ITS results.
DOI: 10.57760/sciencedb.08786
title: Alkali - excited dynamic mechanical properties
title: 碱激发动态力学性能

description: Alkali - excited dynamic mechanical properties
description: Alkali - excited dynamic mechanical properties
DOI: 10.57760/sciencedb.space.00726
title: Stellar occultation technology data for oxygen density inversion
title: 用于氧气密度反演的星光掩星技术数据

description: Starlight occultation technology detects atmospheric composition by detecting the absorption of planetary atmosphere to Spectral class. In response to the concept of using a wide spectrum for star occultation detection, this dataset includes oxygen molecular spectral line intensity, low energy state energy data, forward transmittance data, and forward signal-to-noise ratio data used in the full link forward modeling of star occultation. This dataset provides a foundation for the development of wide spectral detection technology for star occultation. 
description: Starlight occultation technology detects atmospheric composition by detecting the absorption of planetary atmosphere to Spectral class. In response to the concept of using a wide spectrum for star occultation detection, this dataset includes oxygen molecular spectral line intensity, low energy state energy data, forward transmittance data, and forward signal-to-noise ratio data used in the full link forward modeling of star occultation. This dataset provides a foundation for the development of wide spectral detection technology for star occultation.
DOI: 10.57760/sciencedb.08208
title: Code dataset for exploring the regime shift in the interaction between domestic cattle and the ungulate-tiger food chain
title: Code dataset for exploring the regime shift in the interaction between domestic cattle and the ungulate-tiger food chain

description: The effects of domestic cattle grazing on wildlife have received considerable attention. Depending on factors such as its intensity and duration, such grazing can impact higher-level species (especially large carnivores) along the food chain. However, except for the well-studied effects of grazing on vegetation productivity and on ungulates, which are direct competitors, relatively few studies have investigated whether there are tipping points at which grazing intensity begins to seriously impact wildlife. In particular, studies that assess the impact of overgrazing on food chains that include carnivores remain scarce. We developed a temporally dynamic, age-structured model for the sika deer-Amur tiger trophic chain, including cattle grazing as a disturbance. We explored 1) the impact of cattle grazing intensity on the regime behaviour of the wildlife population; 2) the effect of demographic parameters on population viability; and 3) the temporally dynamic impact of periods of heavy grazing on the population trajectory. This dataset is the code used for this study.
description: The effects of domestic cattle grazing on wildlife have received considerable attention. Depending on factors such as its intensity and duration, such grazing can impact higher-level species (especially large carnivores) along the food chain. However, except for the well-studied effects of grazing on vegetation productivity and on ungulates, which are direct competitors, relatively few studies have investigated whether there are tipping points at which grazing intensity begins to seriously impact wildlife. In particular, studies that assess the impact of overgrazing on food chains that include carnivores remain scarce. We developed a temporally dynamic, age-structured model for the sika deer-Amur tiger trophic chain, including cattle grazing as a disturbance. We explored 1) the impact of cattle grazing intensity on the regime behaviour of the wildlife population; 2) the effect of demographic parameters on population viability; and 3) the temporally dynamic impact of periods of heavy grazing on the population trajectory. This dataset is the code used for this study.
DOI: 10.57760/sciencedb.08637
title: Social navigation: distance and grid-like codes support navigation of abstract social space in human brain
title: Social navigation: distance and grid-like codes support navigation of abstract social space in human brain

description: This dataset contains the behavior and fMRI (unsmoothed as well as smoothed) dataset for the preprint Social navigation: distance and grid-like codes support navigation of abstract social space in human brain
description: This dataset contains the behavior and fMRI (unsmoothed as well as smoothed) dataset for the preprint Social navigation: distance and grid-like codes support navigation of abstract social space in human brain
DOI: 10.57760/sciencedb.o00119.00078
title: A dataset of plant aboveground biomass in typical grassland and desert ecosystems in arid and semi-arid area in China (2005–2020)
title: 2005–2020年中国干旱半干旱区典型草地和荒漠生态系统植被地上生物量数据集

description: Plant biomass are important components of global carbon cycle, important part of carbon exchange between terrestrial ecosystems and atmosphere, as well as is a basis of quantitative analysis about feedback and regulation effects between grassland and desert ecosystems and global climate change.Grassland and desert ecosystems in arid and semi-arid area are important carbon stock in China. This paper chooses 2 grassland field sites(Haibei station and InnerMongolia station)and 5 desert field stations(Erdos station, Fukang station,Linze station,Naiman station ,Shapotou station) in China 's arid and semi-arid area which belongs to Chinese Ecosystem Research Network (CERN)， We collect these 7 field station's plant aboveground biomass data originally observed in plant growing season from the year of 2005–2020 in monthly frequency which comply to CERN's long term ecosystem observational protocol, after making quality control ，we calculate originally observed data in sub-plot into statistical data in the scale of plot, and build dataset of plant aboveground biomass,which can be used as ground measured data to support the research of grassland and desert ecosystems' response to the global climate change, vegetation conservation and sustainable development in the arid and semi-arid area.
description: Plant biomass are important components of global carbon cycle, important part of carbon exchange between terrestrial ecosystems and atmosphere, as well as is a basis of quantitative analysis about feedback and regulation effects between grassland and desert ecosystems and global climate change.Grassland and desert ecosystems in arid and semi-arid area are important carbon stock in China. This paper chooses 2 grassland field sites(Haibei station and InnerMongolia station)and 5 desert field stations(Erdos station, Fukang station,Linze station,Naiman station ,Shapotou station) in China 's arid and semi-arid area which belongs to Chinese Ecosystem Research Network (CERN)， We collect these 7 field station's plant aboveground biomass data originally observed in plant growing season from the year of 2005–2020 in monthly frequency which comply to CERN's long term ecosystem observational protocol, after making quality control ，we calculate originally observed data in sub-plot into statistical data in the scale of plot, and build dataset of plant aboveground biomass,which can be used as ground measured data to support the research of grassland and desert ecosystems' response to the global climate change, vegetation conservation and sustainable development in the arid and semi-arid area.
DOI: 10.57760/sciencedb.08081
title: Raw_data_NATMETAB-A22087277
title: Raw_data_NATMETAB-A22087277

description: Circadian multi-omics analysis of RNA-seq, proteomics, lipidomics and metabolomics for muscle tissues, as well as metabolomics for serum samples from 3-4 month-old C57BL/6J female mice after time-restricted feeding (ZT0, 4, 8, 12, 16, 20, 24).
description: Circadian multi-omics analysis of RNA-seq, proteomics, lipidomics and metabolomics for muscle tissues, as well as metabolomics for serum samples from 3-4 month-old C57BL/6J female mice after time-restricted feeding (ZT0, 4, 8, 12, 16, 20, 24).
DOI: 10.57760/sciencedb.j00001.00822
title: A dataset of stained tongue fur images of TCM
title: 中医舌诊染苔图像数据集

description: Tongue diagnosis is one of the characteristic diagnostic methods of traditional Chinese medicine (TCM), and it is also an important basis for the diagnosis of diseases and syndromes in TCM. It mainly includes tongue texture and tongue fur. Tongue fur mainly includes tongue fur texture and tongue fur color, especially the tongue color is an important indicator to identify the nature of the disease. Clinically, tongue fur is easy to be stained by drugs and food, resulting in color illusion and misdiagnosis. This dataset recorded two kinds of tongue images of TCM, stained tongue fur and non-stained tongue fur, with an average of about 1000 tongue images for each type. The stained tongue fur data include the color change images of the tongue fur for 5 minutes, 10 minutes, and 30 minutes after eating stained food in health conditions of different populations. The colors are mainly divided into white, yellow, gray and black, with yellow predominating. Non-stained tongue fur data included pathological tongue fur images of different populations, which were divided into white, yellow and gray, and black fur. This dataset can provide a reliable classification basis for research in the field of tongue diagnosis, effectively solve the problem of tongue fur artifacts, and also provide data support for the development of more intelligent tongue diagnosis instruments.
description: Tongue diagnosis is one of the characteristic diagnostic methods of traditional Chinese medicine (TCM), and it is also an important basis for the diagnosis of diseases and syndromes in TCM. It mainly includes tongue texture and tongue fur. Tongue fur mainly includes tongue fur texture and tongue fur color, especially the tongue color is an important indicator to identify the nature of the disease. Clinically, tongue fur is easy to be stained by drugs and food, resulting in color illusion and misdiagnosis. This dataset recorded two kinds of tongue images of TCM, stained tongue fur and non-stained tongue fur, with an average of about 1000 tongue images for each type. The stained tongue fur data include the color change images of the tongue fur for 5 minutes, 10 minutes, and 30 minutes after eating stained food in health conditions of different populations. The colors are mainly divided into white, yellow, gray and black, with yellow predominating. Non-stained tongue fur data included pathological tongue fur images of different populations, which were divided into white, yellow and gray, and black fur. This dataset can provide a reliable classification basis for research in the field of tongue diagnosis, effectively solve the problem of tongue fur artifacts, and also provide data support for the development of more intelligent tongue diagnosis instruments.
DOI: 10.57760/sciencedb.06762
title: FAST observations of an extremely active episode of FRB 20201124A
title: FAST observations of an extremely active episode of FRB 20201124A

description: We captured an extremely active episode of FRB 20201124A in September 2021 using the Five-hundred-meter Aperture Spherical radio Telescope (FAST). This dataset contains the properties of the 881 bursts we detected, as the appendix table in the paper "FAST observations of an extremely active episode of FRB 20201124A: II. Energy Distribution".
description: We captured an extremely active episode of FRB 20201124A in September 2021 using the Five-hundred-meter Aperture Spherical radio Telescope (FAST). This dataset contains the properties of the 881 bursts we detected, as the appendix table in the paper "FAST observations of an extremely active episode of FRB 20201124A: II. Energy Distribution".
DOI: 10.57760/sciencedb.06609
title: Differences of the potential temperature, vertical velocity and vertical pressure gradient force of all 6 coordinates during the whole 1000 s
title: Differences of the potential temperature, vertical velocity and vertical pressure gradient force of all 6 coordinates during the whole 1000 s

description: This is a video showing the numerical errors of potential temperature, vertical velocity and vertical pressure gradient force of the 2D rising bubble experiment using the 2D nonhydrostatic model with 6 different terrain-following coordinates - BTF and HTF1 - HTF4 in the order of columns. The numerical error of one coordinate is defined as the numerical result of the coordinate minus that of the nonterrain experiment (the experiment without terrain). The model is described by Appendix A, and the coordinates are defined by Equation (1), both in Yang et al. (2023). (a) - (e) are the numerical errors of potential temperature, (f) - (j) are those of vertical velocity, and (k) - (o) are those of vertical pressure gradient force. (p) - (r) are average errors. Differences between errors of HTF1 - HTF4 and that of BTF are also plotted in (s). The model integrates 1000 s ahead of the initial time. The domain shown here spans from -6 km to 6 km horizontally and from 0 km to 12 km vertically.
description: This is a video showing the numerical errors of potential temperature, vertical velocity and vertical pressure gradient force of the 2D rising bubble experiment using the 2D nonhydrostatic model with 6 different terrain-following coordinates - BTF and HTF1 - HTF4 in the order of columns. The numerical error of one coordinate is defined as the numerical result of the coordinate minus that of the nonterrain experiment (the experiment without terrain). The model is described by Appendix A, and the coordinates are defined by Equation (1), both in Yang et al. (2023). (a) - (e) are the numerical errors of potential temperature, (f) - (j) are those of vertical velocity, and (k) - (o) are those of vertical pressure gradient force. (p) - (r) are average errors. Differences between errors of HTF1 - HTF4 and that of BTF are also plotted in (s). The model integrates 1000 s ahead of the initial time. The domain shown here spans from -6 km to 6 km horizontally and from 0 km to 12 km vertically.