cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24933042.v2
title: <b>Mesoporous Carbon Spheres with Programmable Interiors as Efficient Nanoreactors for H</b><sub><strong>2</strong></sub><b>O</b><sub><strong>2</strong></sub><b> Electrosynthesis</b>

description: The nanoreactor holds great promise as it emulates the natural processes of living organisms to facilitate chemical reactions, offering immense potential in catalytic energy conversion owing to its unique structural functionality. Here, we propose the utilization of precisely engineered carbon spheres as building blocks, integrating micromechanics and controllable synthesis to explore their catalytic functionalities in two-electron oxygen reduction reactions. After conducting rigorous experiments and simulations, we present compelling evidence for the enhanced mass transfer and microenvironment modulation effects offered by these mesoporous hollow carbon spheres, particularly when possessing a suitably sized hollow architecture. Impressively, the pivotal achievement lies in the successful screening of a potent, selective, and durable two-electron oxygen reduction reaction catalyst for the direct synthesis of medical-grade hydrogen peroxide disinfectant. Serving as an exemplary demonstration of nanoreactor engineering in catalyst screening, this work highlights the immense potential of various well-designed carbon-based nanoreactors in extensive applications.
DOI: 10.6084/m9.figshare.24933042.v1
title: Nanoreactors with Tunable Hollow Sizes for Efficient H<sub>2</sub>O<sub>2</sub> Electrosynthesis

description: The nanoreactor holds great promise as it emulates the natural processes of living organisms to facilitate chemical reactions, offering immense potential in catalytic energy conversion owing to its unique structural functionality. Here, we propose the utilization of precisely engineered carbon spheres as building blocks, integrating micromechanics and controllable synthesis to explore their catalytic functionalities in two-electron oxygen reduction reactions. After conducting rigorous experiments and simulations, we present compelling evidence for the enhanced mass transfer and microenvironment modulation effects offered by these mesoporous hollow carbon spheres, particularly when possessing a suitably sized hollow architecture. Impressively, the pivotal achievement lies in the successful screening of a potent, selective, and durable two-electron oxygen reduction reaction catalyst for the direct synthesis of medical-grade hydrogen peroxide disinfectant. Serving as an exemplary demonstration of nanoreactor engineering in catalyst screening, this work highlights the immense potential of various well-designed carbon-based nanoreactors in extensive applications.
DOI: 10.6084/m9.figshare.24934983
title: <b>Exploration of S-ECC microbiota through a novel developed nutrient enriched microbiological medium, high through-put 16S rRNA sequencing and culturomics-</b><b>Sequence Data</b>

description: <b>Abstract</b><b>Introduction:</b>Severe early childhood caries (S-ECC) is a widespread disease that harms children physically and mentally. Microorganisms are regarded as the dominant etiology of caries, however, S-ECC microbiome remains largely unknown, near 1/4 of them remained uncultivated. To explore S-ECC microbiota, a new bacterial medium, nutrient-enriched microbiological medium (NEMM) was designed in this study.<br><b>Methods:</b>Eleven fresh S-ECC dental plaque samples were collected and cultivated in both NEMM and SHI medium (reference medium) for the indicated days under aerobic and anaerobic conditions. Then the cultures were harvested, together with their corresponding clinical S-ECC dental plaque samples, for high through-put 16S rRNA sequencing and culturomics. The single colonies were cultured for further confirmation by sequencing the full length of 16S rRNA gene after bacterial genomic DNA extraction and PCR amplification.<br><b>Results:</b>Either NEMM or SHI medium showed a significant decrease in bacterial alpha diversity compared to clinical dental plaque samples by high throughput 16S rRNA sequencing analysis, indicating a larger room for the improvement of both media. NEMM displayed more living bacteria, abundant bacteria species, uncultured bacteria and capacities in carbohydrate transport and metabolism than SHI medium. The dynamic changes in bacterial community composition over time indicated that some bacteria tended to be enriched at specific time points. Culturomics and identification of bacterial species results were further confirmed by high throughput 16S rRNA sequencing results.<br><b>Conclusion:</b>We developed a new medium NEMM that could support S-ECC microbiota growth with more living, abundant bacteria species and uncultured bacteria to be conducive to obtaining bacterial clinical isolates via culturomics technology.
DOI: 10.6084/m9.figshare.24934983.v1
title: <b>Exploration of S-ECC microbiota through a novel developed nutrient enriched microbiological medium, high through-put 16S rRNA sequencing and culturomics-</b><b>Sequence Data</b>

description: <b>Abstract</b><b>Introduction:</b>Severe early childhood caries (S-ECC) is a widespread disease that harms children physically and mentally. Microorganisms are regarded as the dominant etiology of caries, however, S-ECC microbiome remains largely unknown, near 1/4 of them remained uncultivated. To explore S-ECC microbiota, a new bacterial medium, nutrient-enriched microbiological medium (NEMM) was designed in this study.<br><b>Methods:</b>Eleven fresh S-ECC dental plaque samples were collected and cultivated in both NEMM and SHI medium (reference medium) for the indicated days under aerobic and anaerobic conditions. Then the cultures were harvested, together with their corresponding clinical S-ECC dental plaque samples, for high through-put 16S rRNA sequencing and culturomics. The single colonies were cultured for further confirmation by sequencing the full length of 16S rRNA gene after bacterial genomic DNA extraction and PCR amplification.<br><b>Results:</b>Either NEMM or SHI medium showed a significant decrease in bacterial alpha diversity compared to clinical dental plaque samples by high throughput 16S rRNA sequencing analysis, indicating a larger room for the improvement of both media. NEMM displayed more living bacteria, abundant bacteria species, uncultured bacteria and capacities in carbohydrate transport and metabolism than SHI medium. The dynamic changes in bacterial community composition over time indicated that some bacteria tended to be enriched at specific time points. Culturomics and identification of bacterial species results were further confirmed by high throughput 16S rRNA sequencing results.<br><b>Conclusion:</b>We developed a new medium NEMM that could support S-ECC microbiota growth with more living, abundant bacteria species and uncultured bacteria to be conducive to obtaining bacterial clinical isolates via culturomics technology.
DOI: 10.5281/zenodo.10453285
title: 30-m spatial distribution of  photovoltaic power plants in Northwest China (2013,2019)
DOI: 10.5281/zenodo.10453286
title: 30-m spatial distribution of  photovoltaic power plants in Northwest China (2013,2019)
DOI: 10.5281/zenodo.10059735
title: Data in support of manuscript "Tidal intrusion fronts, surface convergence, and mixing in an estuary with complex topography"

description: North River observational data in support of manuscript "Tidal intrusion fronts, surface convergence, and mixing in an estuary with complex topography". Fieldwork in Oct - Nov 2021. CTD data and ADCP data collected during shipboard surveys at a channel constriction and a bend. CTD data and Aquadopp data collected at multiple mooring sites.
DOI: 10.5281/zenodo.10059736
title: Data in support of manuscript "Tidal intrusion fronts, surface convergence, and mixing in an estuary with complex topography"

description: North River observational data in support of manuscript "Tidal intrusion fronts, surface convergence, and mixing in an estuary with complex topography". Fieldwork in Oct - Nov 2021. CTD data and ADCP data collected during shipboard surveys at a channel constriction and a bend. CTD data and Aquadopp data collected at multiple mooring sites.
DOI: 10.6084/m9.figshare.24080862
title: Data and R code corresponding to publication: "The impact of raising alcohol taxes on government tax revenue: insights from five European countries"

description: Presented are the data and the R codes required to obtain the findings published in the study "The impact of raising alcohol taxes on government tax revenue: insights from five European countries" in the journal Applied Health Economics and Health Policy.Authors: Jakob Manthey, Inese Gobiņa, Laura Isajeva, Jarosław Neneman, Rainer Reile, Mindaugas Štelemėkas, Jürgen Rehm
DOI: 10.5281/zenodo.10453281
title: Global Solar Radiation Data over Ethiopia

description: Information on solar radiation variability over specific areas is a key element for the design and optimization of PV power generating systems. Variation of the energy output mainly by irradiance/temperature changes of such devices originates from fluctuations of meteorological conditions, seasons and time of the day. Solar radiation is one of the mainly driver that influence the perormance of solar cell/module. As a result, here in, twelve ML models are developed using ground-based hourly observations from 2020 to 2022. For this purpose, sixteen Ethiopian synoptic weather station solar radiation data were used to train the ML models using meteorological, aerosol-related optical obtained from MERRA-2 reanalysis model, sky condition from NASA Power data archive, and other from National Meteorological Institute of Ethiopia (NMI). The data set is partitioned such that 75% were used for model training and 25% used for model testing. A stacked model was then developed to predict solar radiation utilizing the most efficient of these techniques. The stacked model and XGB show superiority in reproducing observed solar radiation data with highest correlation coefficient (R2=0.96; 0.95), lowest root mean squared error (RMSE=11.8W/m2; 9.94 W/m2), and lowest mean average error (MAE=9.7W/m2; 8.4W/m2) for daily and monthly time scales.
DOI: 10.5281/zenodo.10453282
title: Global Solar Radiation Data over Ethiopia

description: Information on solar radiation variability over specific areas is a key element for the design and optimization of PV power generating systems. Variation of the energy output mainly by irradiance/temperature changes of such devices originates from fluctuations of meteorological conditions, seasons and time of the day. Solar radiation is one of the mainly driver that influence the perormance of solar cell/module. As a result, here in, twelve ML models are developed using ground-based hourly observations from 2020 to 2022. For this purpose, sixteen Ethiopian synoptic weather station solar radiation data were used to train the ML models using meteorological, aerosol-related optical obtained from MERRA-2 reanalysis model, sky condition from NASA Power data archive, and other from National Meteorological Institute of Ethiopia (NMI). The data set is partitioned such that 75% were used for model training and 25% used for model testing. A stacked model was then developed to predict solar radiation utilizing the most efficient of these techniques. The stacked model and XGB show superiority in reproducing observed solar radiation data with highest correlation coefficient (R2=0.96; 0.95), lowest root mean squared error (RMSE=11.8W/m2; 9.94 W/m2), and lowest mean average error (MAE=9.7W/m2; 8.4W/m2) for daily and monthly time scales.
DOI: 10.21227/qf94-g984
title: Shanghai Stock Exchange 50 Option Data (Due December 2022)

description: This dataset comes from the Wind database. This dataset includes a series of Shanghai Stock Exchange 50 ETF option data due in December 2022. This dataset also includes some economic variables.The data used in this article is the trading data of Shanghai Stock Exchange 50ETF call options. The time of option data is from April 28 to October 26, 2022, sourced from the WIND database. The exercise price range of the selected option is from 2.5 to 3.5 (European call options). In addition, the expiration date of the options in this experiment is December 28, 2022.For the preprocessing part of the original data, data with a blank option closing price was excluded. And samples with data volume less than 20 were excluded. Finally, there are 1535 pieces of data remaining.
DOI: 10.25345/c5ff3m98h
title: MassIVE MSV000093751 - NAD+ dependent UPRmt activation underlies intestinal aging caused by mitochondrial DNA mutations
title: NAD+ dependent UPRmt activation underlies intestinal aging caused by mitochondrial DNA mutations.
DOI: 10.5281/zenodo.10421182
title: Wintertime daily Arctic sea ice surface form drag from QuikSCAT during 1999-2009

description: This dataset contains wintertime (Nov-Apr) daily Arctic sea ice surface form drag derived from QuikSCAT (1999-2009). The spatial resolution is 12.5*12.5 km projected onto a polar stereographic grid. The daily file (in netCDF format) contains three variables: Cdnfr, Cdn, and SIC_90_label. Cdnfr is the surface form drag (at 10m and in neutral stability), which is only valid for pixels with sea ice concentration (SIC) over 90%. Cdn is the total drag coefficient over sea ice as a sum of skin drag, surface form drag (Cdnfr), and floe form drag. SIC_90_label is a binary map labeling pixels with SIC>90% as 1. The geolocation information is provided in "PS_12500_grid_lat_lon.nc", which contains longitude and latitude for each grid cell and projection information. For the use of the dataset and details of the retrieval algorithm, please cite and read the following paper:

Zhang Z, Hui F, Shokr M, et al. Winter Arctic Sea Ice Surface Form Drag During 1999–2021: Satellite Retrieval and Spatiotemporal Variability[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, doi: 10.1109/TGRS.2023.3347694.
DOI: 10.5281/zenodo.10421183
title: Wintertime daily Arctic sea ice surface form drag from QuikSCAT during 1999-2009

description: This dataset contains wintertime (Nov-Apr) daily Arctic sea ice surface form drag derived from QuikSCAT (1999-2009). The spatial resolution is 12.5*12.5 km projected onto a polar stereographic grid. The daily file (in netCDF format) contains three variables: Cdnfr, Cdn, and SIC_90_label. Cdnfr is the surface form drag (at 10m and in neutral stability), which is only valid for pixels with sea ice concentration (SIC) over 90%. Cdn is the total drag coefficient over sea ice as a sum of skin drag, surface form drag (Cdnfr), and floe form drag. SIC_90_label is a binary map labeling pixels with SIC>90% as 1. The geolocation information is provided in "PS_12500_grid_lat_lon.nc", which contains longitude and latitude for each grid cell and projection information. For the use of the dataset and details of the retrieval algorithm, please cite and read the following paper:

Zhang Z, Hui F, Shokr M, et al. Winter Arctic Sea Ice Surface Form Drag During 1999–2021: Satellite Retrieval and Spatiotemporal Variability[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, doi: 10.1109/TGRS.2023.3347694.
DOI: 10.34740/kaggle/dsv/7328746
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.5281/zenodo.10421427
title: Wintertime daily Arctic sea ice surface form drag from ASCAT during 2006-2021

description: This dataset contains wintertime (Nov-Apr) daily Arctic sea ice surface form drag derived from ASCAT (2006-2021). The spatial resolution is 12.5*12.5 km projected onto a polar stereographic grid. The daily file (in netCDF format) contains three variables: Cdnfr, Cdn, and SIC_90_label. Cdnfr is the surface form drag (at 10m and in neutral stability), which is only valid for pixels with sea ice concentration (SIC) over 90%. Cdn is the total drag coefficient over sea ice as a sum of skin drag, surface form drag (Cdnfr), and floe form drag. SIC_90_label is a binary map labeling pixels with SIC>90% as 1. The geolocation information is provided in "PS_12500_grid_lat_lon.nc", which contains longitude and latitude for each grid cell and projection information. For the use of the dataset and details of the retrieval algorithm, please cite and read the following paper:Zhang Z, Hui F, Shokr M, et al. Winter Arctic Sea Ice Surface Form Drag During 1999–2021: Satellite Retrieval and Spatiotemporal Variability[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, doi: 10.1109/TGRS.2023.3347694.
DOI: 10.5281/zenodo.10421426
title: Wintertime daily Arctic sea ice surface form drag from ASCAT during 2006-2021

description: This dataset contains wintertime (Nov-Apr) daily Arctic sea ice surface form drag derived from ASCAT (2006-2021). The spatial resolution is 12.5*12.5 km projected onto a polar stereographic grid. The daily file (in netCDF format) contains three variables: Cdnfr, Cdn, and SIC_90_label. Cdnfr is the surface form drag (at 10m and in neutral stability), which is only valid for pixels with sea ice concentration (SIC) over 90%. Cdn is the total drag coefficient over sea ice as a sum of skin drag, surface form drag (Cdnfr), and floe form drag. SIC_90_label is a binary map labeling pixels with SIC>90% as 1. The geolocation information is provided in "PS_12500_grid_lat_lon.nc", which contains longitude and latitude for each grid cell and projection information. For the use of the dataset and details of the retrieval algorithm, please cite and read the following paper:Zhang Z, Hui F, Shokr M, et al. Winter Arctic Sea Ice Surface Form Drag During 1999–2021: Satellite Retrieval and Spatiotemporal Variability[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, doi: 10.1109/TGRS.2023.3347694.
DOI: 10.6084/m9.figshare.24886647
title: Supplementary Material for: Computed Tomography Renal Volumetry Better Predicts Postoperative Donor Renal Function in Live Kidney Donor Transplantation than Renal Scintigraphy: A Comparative Study

description: Introduction and objectives: Both computed tomography (CT) and renal scintigraphy (RS) have been used to assess vascular anatomy, renal status, and split renal function (SRF). In this study, we used a recently developed software that facilitates renal volumetric evaluations to compare RS and automated CT volumetry for assessing residual renal function, and thus estimating postoperative renal function after donor nephrectomy.
Methods: Fifty-one cases of donor nephrectomy were analyzed. Residual renal function was estimated based on RS and CT volumetry. The correlation between the postoperative estimated glomerular filtration rate (eGFR) and expected SRF, measured using RS and three types of CT volumetry data (ellipsoid, thin-slice, and 5-mm slice data), was determined.
Results: The correlation coefficient between actual eGFR and expected SRF were significantly associated at each time point and modality (p&lt;0.0001). At any time point, the difference in correlation coefficient between RS and 5-mm volumetry was significant (p-value: 0.003-0.018), whereas the differences in correlation coefficients between RS and the tri-axial volume calculation, and the tri-axial volume calculation and 5-mm volumetry, were generally statistically insignificant.
Conclusions: Expected SRF was estimated more accurately by CT volumetric calculations (especially 5-mm-slice-based volumetry) than RS.
DOI: 10.6084/m9.figshare.24886647.v1
title: Supplementary Material for: Computed Tomography Renal Volumetry Better Predicts Postoperative Donor Renal Function in Live Kidney Donor Transplantation than Renal Scintigraphy: A Comparative Study

description: Introduction and objectives: Both computed tomography (CT) and renal scintigraphy (RS) have been used to assess vascular anatomy, renal status, and split renal function (SRF). In this study, we used a recently developed software that facilitates renal volumetric evaluations to compare RS and automated CT volumetry for assessing residual renal function, and thus estimating postoperative renal function after donor nephrectomy.
Methods: Fifty-one cases of donor nephrectomy were analyzed. Residual renal function was estimated based on RS and CT volumetry. The correlation between the postoperative estimated glomerular filtration rate (eGFR) and expected SRF, measured using RS and three types of CT volumetry data (ellipsoid, thin-slice, and 5-mm slice data), was determined.
Results: The correlation coefficient between actual eGFR and expected SRF were significantly associated at each time point and modality (p&lt;0.0001). At any time point, the difference in correlation coefficient between RS and 5-mm volumetry was significant (p-value: 0.003-0.018), whereas the differences in correlation coefficients between RS and the tri-axial volume calculation, and the tri-axial volume calculation and 5-mm volumetry, were generally statistically insignificant.
Conclusions: Expected SRF was estimated more accurately by CT volumetric calculations (especially 5-mm-slice-based volumetry) than RS.
DOI: 10.6084/m9.figshare.24757008
title: Supplementary Material for: Expanding the clinical and molecular spectrum of FOXG1- and ZBTB18-associated neurodevelopmental disorders

description: Introduction
The zinc finger BTB domain-containing protein ZBTB18 binds to FOXG1 to form a transcriptional repressive complex involved in neuronal differentiation. Disruption of the components of this complex results in chromosome 1q43-q44 deletion syndrome/intellectual developmental disorder 22 or in FOXG1 syndrome.
Case presentation
This study reports on five patients with cognitive and behavioral impairment, seizures, microcephaly, and/or congenital brain abnormalities. Whole exome sequencing identified deleterious ZBTB18 variants in three patients and deleterious FOXG1 variants in the remaining patients. We have detected a missense variant within the BTB domain of ZBTB18 in two affected monozygotic twins. In addition, we observed agenesis of the septum pellucidum in a missense FOXG1 carrier with a severe FOXG1 syndrome.
Conclusion
Although the ZBTB18 zinc finger domains harbor the majority of known deleterious variants, we report a novel de novo rare missense variant within the BTB domain. The agenesis of the septum pellucidum observed in a missense FOXG1 carrier could be considered as a novel clinical feature associated with FOXG1 syndrome. The severe FOXG1 syndrome in this patient contrasts with the milder phenotype expected for a missense. Genetic or environmental factors may explain this phenotypic variability in FOXG1 syndrome.
DOI: 10.6084/m9.figshare.24757008.v1
title: Supplementary Material for: Expanding the clinical and molecular spectrum of FOXG1- and ZBTB18-associated neurodevelopmental disorders

description: Introduction
The zinc finger BTB domain-containing protein ZBTB18 binds to FOXG1 to form a transcriptional repressive complex involved in neuronal differentiation. Disruption of the components of this complex results in chromosome 1q43-q44 deletion syndrome/intellectual developmental disorder 22 or in FOXG1 syndrome.
Case presentation
This study reports on five patients with cognitive and behavioral impairment, seizures, microcephaly, and/or congenital brain abnormalities. Whole exome sequencing identified deleterious ZBTB18 variants in three patients and deleterious FOXG1 variants in the remaining patients. We have detected a missense variant within the BTB domain of ZBTB18 in two affected monozygotic twins. In addition, we observed agenesis of the septum pellucidum in a missense FOXG1 carrier with a severe FOXG1 syndrome.
Conclusion
Although the ZBTB18 zinc finger domains harbor the majority of known deleterious variants, we report a novel de novo rare missense variant within the BTB domain. The agenesis of the septum pellucidum observed in a missense FOXG1 carrier could be considered as a novel clinical feature associated with FOXG1 syndrome. The severe FOXG1 syndrome in this patient contrasts with the milder phenotype expected for a missense. Genetic or environmental factors may explain this phenotypic variability in FOXG1 syndrome.