cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7943434
title: Characteristics, Origins, and Atmospheric Processes of Amines in Fine Aerosol Particles in Winter in China

description: data
DOI: 10.5281/zenodo.7905642
title: Novel Per- and Polyfluoroalkyl Substances Discovered in Cattle Exposed to AFFF-Impacted Groundwater

description: This feature list was created and submitted as a part of the publication process of the work titled "Novel per- and polyfluoroalkyl substances (PFAS) discovered in cattle exposed to AFFF-impacted groundwater'. Per and polyfluorinated (PFAS) related features were prioritised from high-resolution mass spectrometry full scan data acquired from contaminated cattle blood and serum. The data was acquired in SCIEX X500R QTOF with multiple collision energies ranging from 12-60.
DOI: 10.5281/zenodo.7905643
title: Novel Per- and Polyfluoroalkyl Substances Discovered in Cattle Exposed to AFFF-Impacted Groundwater

description: This feature list was created and submitted as a part of the publication process of the work titled "Novel per- and polyfluoroalkyl substances (PFAS) discovered in cattle exposed to AFFF-impacted groundwater'. Per and polyfluorinated (PFAS) related features were prioritised from high-resolution mass spectrometry full scan data acquired from contaminated cattle blood and serum. The data was acquired in SCIEX X500R QTOF with multiple collision energies ranging from 12-60.
DOI: 10.5281/zenodo.10414843
title: Flow statistics from large-eddy simulations of convective atmospheric boundary layers

description: The present dataset includes time-averaged flow statistics from large-eddy simulations (LES) of the convective atmospheric boundary layer (CBL). The seven simulation cases span weak to moderate convection on a numerical grid with 1024x1024x512 points. The current version of the dataset comprises profiles of the mean air velocity and temperature, momentum flux, and heat flux. Additional statistics and sample flow volumes may be added in a subsequent version at a later time. Please cite the related work under the additional details if the dataset is used.
description: The LES cases represent idealized dry and barotropic atmospheric conditions with varying degrees of thermal convection. The range of convection was achieved by imposing different combinations of fixed surface heat flux and geostrophic wind speed. In each case, the boundary layer was confined by a stable capping inversion. The simulations include rotation effects from the Coriolis inertial force.

Key aspects of the LES include an equilibrium wall model, a Lagrangian averaged scale-dependent subgrid-scale stress model, a staggered vertical grid, and a damping (sponge) layer in the top 25% of the domain. Additional methodology details are given in the related publication(s).
description: The profile data are organized as tab-separated values in text files with header rows to describe the data columns. Separate text files are given for each simulated case and grid size, as indicated by the file name. Refer to the README.txt file for further information regarding the different cases, grid sizes, and data columns.
description: The authors gratefully acknowledge high-performance computing support from Cheyenne provided by the National Center for Atmospheric Research Computational Information Systems Laboratory.
DOI: 10.5281/zenodo.10414842
title: Flow statistics from large-eddy simulations of convective atmospheric boundary layers

description: The present dataset includes time-averaged flow statistics from large-eddy simulations (LES) of the convective atmospheric boundary layer (CBL). The seven simulation cases span weak to moderate convection on a numerical grid with 1024x1024x512 points. The current version of the dataset comprises profiles of the mean air velocity and temperature, momentum flux, and heat flux. Additional statistics and sample flow volumes may be added in a subsequent version at a later time. Please cite the related work under the additional details if the dataset is used.
description: The LES cases represent idealized dry and barotropic atmospheric conditions with varying degrees of thermal convection. The range of convection was achieved by imposing different combinations of fixed surface heat flux and geostrophic wind speed. In each case, the boundary layer was confined by a stable capping inversion. The simulations include rotation effects from the Coriolis inertial force.

Key aspects of the LES include an equilibrium wall model, a Lagrangian averaged scale-dependent subgrid-scale stress model, a staggered vertical grid, and a damping (sponge) layer in the top 25% of the domain. Additional methodology details are given in the related publication(s).
description: The profile data are organized as tab-separated values in text files with header rows to describe the data columns. Separate text files are given for each simulated case and grid size, as indicated by the file name. Refer to the README.txt file for further information regarding the different cases, grid sizes, and data columns.
description: The authors gratefully acknowledge high-performance computing support from Cheyenne provided by the National Center for Atmospheric Research Computational Information Systems Laboratory.
DOI: 10.25340/r4/sdwngq
title: Related Data for: Scoping review of mindfulness research: A topic modelling approach

description: Objectives: As the volume of mindfulness research continues amassing exponentially, there have been attempts to review works in various aspects of mindfulness research systematically. The present study provides a scoping review via a topic modelling approach to supplement the overall research synthesis effort. Specifically, the objective is to scope the mindfulness research by identifying topics relevant to mindfulness research using the probabilistic topic modelling approach. Methods: A literature search based on “mindfulness” returned 5947 bibliographical records from the Web of Science Core Collection platform (for records up to 20 October 2017). The combined field of titles and abstracts was subjected to probabilistic topic modelling based on latent Dirichlet allocation (LDA). Results: The optimal number of topics suggested was 106. Further interpretation by the research team resulted in a total of 231 Suggested Terms. The terms were further categorised into Condition/Issue, Construct/Philosophy, Modality, Population/Setting and Research Methodology. Conclusions: The topic modelling process obtained a panoptic view of mindfulness research, providing mindfulness researchers with some indicators regarding the range of topics researched. The outcome of this topic modelling effort has been made available at https://hdl.handle.net/10497/20862.
DOI: 10.6084/m9.figshare.23787279
title: bbb

description: This is the experimental data of the manuscript entitled “A deep learning-based method for predicting the emerging degree of research topics using emerging index” .
DOI: 10.6084/m9.figshare.23787279.v3
title: bbb

description: This is the experimental data of the manuscript entitled “A deep learning-based method for predicting the emerging degree of research topics using emerging index” .
DOI: 10.6084/m9.figshare.23787279.v2
title: bbb

description: This is the experimental data of the manuscript entitled “A deep learning-based method for predicting the emerging degree of research topics using emerging index” .
DOI: 10.5281/zenodo.10207258
title: Dataset for "Polariton Spin Hall Effect in a Rashba-Dresselhaus Regime at Room Temperature"
DOI: 10.5281/zenodo.10207257
title: Dataset for "Polariton Spin Hall Effect in a Rashba-Dresselhaus Regime at Room Temperature"
DOI: 10.5281/zenodo.10074414
title: Coupled Thermosphere-Ionosphere Tongue-like Structure During the Recovery Phase of the Geomagnetic Storm on May 12, 2021

description: The data includes O/N2, Temperature, horizontal winds, TEC and diagnostic analysis terms of O+ density from the TIEGCM on DOY 131 and 133 in 2021, which are used to plot for Figures 3 and 4, Movie S1 and S2.
DOI: 10.5281/zenodo.10467544
title: Coupled Thermosphere-Ionosphere Tongue-like Structure During the Recovery Phase of the Geomagnetic Storm on May 12, 2021

description: The file named 'Indices' includes Kp, F10.7p, By and Bz indices, AE and Dst indices, which are used to plot Figure 1. The file named 'GOLD_131',  'GOLD_132' and 'GOLD_133' include the parameters of O/N2 and temperature from GOLD observations, which are used to plot for Figures 2 and S1. The file named 'GPS_131',  'GPS_132' and 'GPS_133' include the parameters of TEC from GPS observations, which are used to plot for Figures 4 and S2. The file named 'TIEGCM_131' and 'TIEGCM_133' includes O/N2, Temperature, horizontal winds, TEC and diagnostic analysis terms of O+ density from the TIEGCM simulations on DOY 131 and 133 in 2021, which are used to plot for Figures 3 and 4, Movie S1 and S2.
DOI: 10.5281/zenodo.10460286
title: Functional MRI of the brain stem for assessing its autonomic functions: from imaging parameters and analysis to functional atlas

description: We provided the dataset of pre-processed anatomic and functional brain MR images from 10 healthy controls. The dataset can be used to replicate the results of the manuscript titled 'Functional MRI of the brain stem for assessing its autonomic functions: from imaging parameters and analysis to functional atlas.' This manuscript presented an optimised functional imaging brainstem imaging protocol (FIBS). Skulls were removed from the shared MRI images, and brain images were normalised to the Montreal Neurological Institute (MNI) space to protect participants' privacy. Details of pre-processing were provided in the paper mentioned above. The atlas includes 12 regions of interest (ROIs) in the brain stem involving automatic controls. This dataset could potentially be used to:

1.                compare temporal signal-to-noise ratios among different imaging protocols;

2.                provide the brain stem anatomic locations involved in autonomic controls;

3.                add to the normal control database for brain stem studies.
DOI: 10.5281/zenodo.10460285
title: Functional MRI of the brain stem for assessing its autonomic functions: from imaging parameters and analysis to functional atlas

description: We provided the dataset of pre-processed anatomic and functional brain MR images from 10 healthy controls. The dataset can be used to replicate the results of the manuscript titled 'Functional MRI of the brain stem for assessing its autonomic functions: from imaging parameters and analysis to functional atlas.' This manuscript presented an optimised functional imaging brainstem imaging protocol (FIBS). Skulls were removed from the shared MRI images, and brain images were normalised to the Montreal Neurological Institute (MNI) space to protect participants' privacy. Details of pre-processing were provided in the paper mentioned above. The atlas includes 12 regions of interest (ROIs) in the brain stem involving automatic controls. This dataset could potentially be used to:

1.                compare temporal signal-to-noise ratios among different imaging protocols;

2.                provide the brain stem anatomic locations involved in autonomic controls;

3.                add to the normal control database for brain stem studies.
DOI: 10.6084/m9.figshare.23993616.v1
title: Orthoptera-TElib: A library of Orthoptera transposable elements for TE annotation

description: We used the complete genome data of 12 Orthoptera species to de novo annotate TEs, then manually re-annotate the unclassified TEs to construct a non-redundant Orthoptera-specific TE library: OTElib. OTElib contains 24,021 TE entries including the re-annotated results of 13,964 unknown TEs.
DOI: 10.6084/m9.figshare.24086121.v2
title: <b>Annotation files for eccDNA in mouse brain tissue</b>

description: Annotation files for eccDNA in mouse brain tissue.
DOI: 10.6084/m9.figshare.24955872
title: Data of the paper "Optimization of carbon neutrality implementation path for energy enterprises based on multistage bilevel programming: Carbon asset management and low-carbon technology investment."

description: This section tests the proposed model and algorithm with a case study of a large petrochemical enterprise in China. The enterprise’s goal of achieving a carbon emissions peak by 2030 and net-zero emissions by 2050 calls for developing a practical path to carbon neutrality. The enterprise has seven subsidiaries, A, B, C, D, E, F, and G, located in seven different cities in China. The categories of products manufactured by the subsidiaries are shown in Table 8. There is one traditional technology for each subsidiary to produce their products. There are two optional low-carbon technologies for gasoline, diesel, and kerosene. For the remaining products, there is one optional low-carbon technology. Nevertheless, the traditional and low-carbon technologies adopted by the subsidiaries vary according to their cities and technological development, and there are differences in demand and pricing for each product in different regions. Based on its carbon neutrality target, we will explore the enterprise’s carbon neutrality implementation path from 2025 to 2050, with a time interval of 5 years.From 2025 to 2050, in 5-year intervals, the data in the Excel spreadsheet include the unit price of the product, the cost per unit of the product produced using conventional and low-carbon technologies, the carbon emissions, the mean and variance of the demand for the product, the level of service for the product, and the setup costs for investing in low-carbon technologies at each stage. The parameter values of this data correspond to Table 2 in the paper "Optimization of carbon neutrality implementation path for energy enterprises based on multistage bilevel programming: Carbon asset management and low-carbon technology investment", which was used to calculate the case study of a large petrochemical enterprise in China.
DOI: 10.6084/m9.figshare.24955872.v1
title: Data of the paper "Optimization of carbon neutrality implementation path for energy enterprises based on multistage bilevel programming: Carbon asset management and low-carbon technology investment."

description: This section tests the proposed model and algorithm with a case study of a large petrochemical enterprise in China. The enterprise’s goal of achieving a carbon emissions peak by 2030 and net-zero emissions by 2050 calls for developing a practical path to carbon neutrality. The enterprise has seven subsidiaries, A, B, C, D, E, F, and G, located in seven different cities in China. The categories of products manufactured by the subsidiaries are shown in Table 8. There is one traditional technology for each subsidiary to produce their products. There are two optional low-carbon technologies for gasoline, diesel, and kerosene. For the remaining products, there is one optional low-carbon technology. Nevertheless, the traditional and low-carbon technologies adopted by the subsidiaries vary according to their cities and technological development, and there are differences in demand and pricing for each product in different regions. Based on its carbon neutrality target, we will explore the enterprise’s carbon neutrality implementation path from 2025 to 2050, with a time interval of 5 years.From 2025 to 2050, in 5-year intervals, the data in the Excel spreadsheet include the unit price of the product, the cost per unit of the product produced using conventional and low-carbon technologies, the carbon emissions, the mean and variance of the demand for the product, the level of service for the product, and the setup costs for investing in low-carbon technologies at each stage. The parameter values of this data correspond to Table 2 in the paper "Optimization of carbon neutrality implementation path for energy enterprises based on multistage bilevel programming: Carbon asset management and low-carbon technology investment", which was used to calculate the case study of a large petrochemical enterprise in China.
DOI: 10.6084/m9.figshare.24955893
title: Reducing nitrogen inputs mitigate <i>Spartina</i> invasion in the Yangtze estuary

description: This dataset includes data obtained from landscape-scale surveys and three field experiments. To explore how N reductions contributed to native community recovery in estuarine marshes degraded by plant invasions. Using ongoing, landscape-scale N reductions in the Yangtze River, we conducted landscape-scale surveys to determine the responses of <i>Phragmites australis</i> patches in their density (no. km-2) and size (m2 per patch) in <i>Spartina alterniflora</i>-invaded marshes before and after reducing N inputs in the Yangtze estuary from 2009 to 2020 using satellite images.To uncover the mechanisms driving this temporal response of <i>P. australis</i> patches, we investigated how the growth performances (maximum NDVI) of <i>S. alterniflora</i> and <i>P. australis</i> responded to decreased N inputs at landscape scales.We then validated the growth dynamics (aboveground biomass, g/m2) of both species in the ambient plots of the SINE experiment after reducing N inputs.Furthermore, we determined how the competitive impacts (dominance as represented by aboveground biomass ratio in the mixed stands) of S. alterniflora on <i>P. australis</i> responded to reduced N conditions by transplanting previously N-fertilized and unfertilized <i>S. alterniflora</i> from the SINE experiment into plots with ambient and enriched N conditions and co-planting it with <i>P. australis</i>.Lastly, we used the framework of modern coexistence theory to characterize the changes in competitive outcomes between <i>S. alterniflora</i> and <i>P. australis</i> by evaluating niche and relative fitness differences under ambient and enriched N conditions in existing <i>P. australis</i> patches in the <i>S. alterniflora</i>-invaded marshes.
DOI: 10.6084/m9.figshare.24955785
title: Original data-Widespread PRC barrel proteins are necessary for haloarchaeal cell division.zip

description: Cell division is fundamental to all cellular life. Most archaea depend on either the prokaryotic tubulin homolog FtsZ, or the endosomal sorting complex required for transport (ESCRT) for division, but neither system has been robustly characterized. Here, we show that three of the four PRC (Photosynthetic Reaction Center) barrel domain proteins of<i> Haloferax volcanii</i> (renamed Cell division proteins B1/2/3 (CdpB1/2/3)), play important roles in cell division. CdpB1 interacts directly with the FtsZ membrane anchor SepF and is essential for cell division, whereas deletion of <i>cdpB2</i> and <i>cdpB3</i> causes a major and a minor division defect, respectively. Orthologs of CdpB proteins are also involved in cell division in other haloarchaea, indicating a conserved function of these proteins. Phylogenetic analysis shows that PRC barrel proteins are widely distributed among archaea, and appear to be central to cell division in most if not all archaea.
DOI: 10.6084/m9.figshare.24955785.v1
title: Original data-Widespread PRC barrel proteins are necessary for haloarchaeal cell division.zip

description: Cell division is fundamental to all cellular life. Most archaea depend on either the prokaryotic tubulin homolog FtsZ, or the endosomal sorting complex required for transport (ESCRT) for division, but neither system has been robustly characterized. Here, we show that three of the four PRC (Photosynthetic Reaction Center) barrel domain proteins of<i> Haloferax volcanii</i> (renamed Cell division proteins B1/2/3 (CdpB1/2/3)), play important roles in cell division. CdpB1 interacts directly with the FtsZ membrane anchor SepF and is essential for cell division, whereas deletion of <i>cdpB2</i> and <i>cdpB3</i> causes a major and a minor division defect, respectively. Orthologs of CdpB proteins are also involved in cell division in other haloarchaea, indicating a conserved function of these proteins. Phylogenetic analysis shows that PRC barrel proteins are widely distributed among archaea, and appear to be central to cell division in most if not all archaea.
DOI: 10.5281/zenodo.10467615
title: Data of "Characterization and source apportionment of volatile organic compounds over the eastern seas of China in winter"

description: The attached data is the volatile organic compounds measurement data over the eastern seas of China in winter. The data is for analysis and figures in the study of "Characterization and source apportionment of volatile organic compounds over the eastern seas of China in winter". Currently the manuscript is submitted to JGR-A.
DOI: 10.5281/zenodo.10467616
title: Data of "Characterization and source apportionment of volatile organic compounds over the eastern seas of China in winter"

description: The attached data is the volatile organic compounds measurement data over the eastern seas of China in winter. The data is for analysis and figures in the study of "Characterization and source apportionment of volatile organic compounds over the eastern seas of China in winter". Currently the manuscript is submitted to JGR-A.
DOI: 10.57967/hf/1581
title: mental_health_counseling_conversations
DOI: 10.6084/m9.figshare.11871576
title: Geochronological and paleomagnetic data from Triassic lava in the Qaidam Basin

description:   Data to support this new article
DOI: 10.6084/m9.figshare.11871576.v1
title: Geochronological and paleomagnetic data from Triassic lava in the Qaidam Basin

description:   Data to support this new article
DOI: 10.5281/zenodo.7493910
title: A new method for eliminating dust effects when quantifying the light absorption properties of brown carbon

description: Accurate quantification of the absorption properties of brown carbon (BrC) aerosols is crucial to assess the Earth-atmosphere radiative impacts of BrC. However, the BrC absorption properties were often misestimated in field observations, due to neglecting the contribution of dust absorption. This study solved this problem by coupling a method for calculating the dust concentration into the traditional model for quantifying BrC absorption. The results show that dust absorption was up to 16.8% of the sum of BrC and dust absorption in northwestern China. The potential contribution of dust to the sum of BrC and dust absorption was significantly higher in the Asia-located studies (0.4−16.8%) than in the Americas-located (<1.2%) and Europe-located (<2.3%) studies. This work underscores the necessity of eliminating the negative effect of dust in BrC quantitative model. It prompts us to revisit the BrC absorption properties resolved by previous studies, especially in dust-influenced areas such as Asia.

The data file contains data from the AE31 aethalometer, aerodynamic particle sizer spectrometer (APS), tapered element oscillating microbalance machine (TEOM), and high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) used in this study, as well as data from each figure in this study.
DOI: 10.5281/zenodo.7493911
title: Light absorption properties of brown carbon are overestimated by neglecting dust absorption

description: Accurate quantification of the light absorption properties of brown carbon (BrC) aerosols is crucial to assess the climatic impacts of BrC. However, the light absorption properties of BrC were often misestimated in field observations, due to neglecting the contribution of dust absorption. This study solved this problem by coupling a new method for calculating the dust concentration into the traditional method for quantifying BrC absorption. The negative effect of dust was successfully excluded when quantifying BrC light absorption properties at a northwestern Chinese site. The comparison results showed that the traditional method severely overestimated the absorption of BrC components due to the lack of constraints of dust information. Neglecting dust absorption could overestimate the direct radiative forcing of BrC absorption by ~30% at the site. This work can be used to adjust the optical parameters of BrC in climate models, prompting us to revisit the real climate effects of BrC.