cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7981437
title: High-resolution emission density dataset from on-road mobile source in Hong Kong

description: This dataset provides the detailed emission density (g/m) of NOx, CO, CO2, PMs, NMVOC, and CH4 on each road segment in Hong Kong.
DOI: 10.34740/kaggle/dsv/5804903
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/5804914
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.6084/m9.figshare.23256968
title: Supplementary Material for: Hybrid Method for Peritoneal Dialysis Catheter Insertion: A New Technique for Improved Outcomes and Reduced Costs

description: Background: Peritoneal Dialysis (PD) is a well-established treatment choice for end-stage kidney disease (ESKD). While there are several methods for PD catheter insertion, they each have limitations. In this study, we present a new hybrid method for PD catheter insertion and compare it to the conventional laparoscopic method. Methods: This retrospective study included 171 patients who were undergoing their first PD catheter insertion, and a total of 20% of the enrolled patients had a past medical history of abdominal surgery. Out of these, 101 patients underwent the laparoscopic method and 70 underwent a new invented hybrid method. The study aimed to compare the surgical outcomes, incidence of early and late complications, hospital stay, and medical expenses between the two groups. Results: There were no notable differences in basic demographic features and comorbid conditions between the two groups. The results of our data revealed that the hybrid group had a significantly shorter break-in period and did not require temporary hemodialysis. Additionally, length of hospital stay and medical costs were significantly lower in the hybrid group. (all p&lt;0.05) The incidence of early complications was lower in the hybrid group, while the incidence of late complications was comparable between the two groups. Conclusion: Our study demonstrates that the hybrid method of PD catheter insertion provides a safe and efficient alternative to the traditional laparoscopic method, enabling urgent-start PD and reducing hospital stays and medical expenses. Our findings support the use of the hybrid method as a new standard of care for ESKD patients undergoing PD catheter insertion.
DOI: 10.6084/m9.figshare.23256968.v1
title: Supplementary Material for: Hybrid Method for Peritoneal Dialysis Catheter Insertion: A New Technique for Improved Outcomes and Reduced Costs

description: Background: Peritoneal Dialysis (PD) is a well-established treatment choice for end-stage kidney disease (ESKD). While there are several methods for PD catheter insertion, they each have limitations. In this study, we present a new hybrid method for PD catheter insertion and compare it to the conventional laparoscopic method. Methods: This retrospective study included 171 patients who were undergoing their first PD catheter insertion, and a total of 20% of the enrolled patients had a past medical history of abdominal surgery. Out of these, 101 patients underwent the laparoscopic method and 70 underwent a new invented hybrid method. The study aimed to compare the surgical outcomes, incidence of early and late complications, hospital stay, and medical expenses between the two groups. Results: There were no notable differences in basic demographic features and comorbid conditions between the two groups. The results of our data revealed that the hybrid group had a significantly shorter break-in period and did not require temporary hemodialysis. Additionally, length of hospital stay and medical costs were significantly lower in the hybrid group. (all p&lt;0.05) The incidence of early complications was lower in the hybrid group, while the incidence of late complications was comparable between the two groups. Conclusion: Our study demonstrates that the hybrid method of PD catheter insertion provides a safe and efficient alternative to the traditional laparoscopic method, enabling urgent-start PD and reducing hospital stays and medical expenses. Our findings support the use of the hybrid method as a new standard of care for ESKD patients undergoing PD catheter insertion.
DOI: 10.6084/m9.figshare.23256971
title: Supplementary Material for: Risk Factors for Common Kidney Stones Are Correlated with Kidney Function Independent of Stone Composition

description: Background: Kidney stone type varies with age, sex, season, and medical conditions. Lower estimate glomerular filtration rate (eGFR) leads to changes in urine chemistry, and risk factors for kidney stones are thought to vary by stone type. We explore the association between eGFR, urine risk factors, and common stone compositions. Methods: This was a retrospective cohort study of 811 kidney stone patients seen at Yale Medicine between 1994-2021 with serum chemistries and 24-hour urine chemistries matched within one year of baseline stone analysis. Patients’ eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2021 equation. Demographics and medical history were compared by Chi-squared tests. 24-hour urine chemistries and stone analyses were analyzed by one-way ANOVA. Linear regressions were performed to control for demographics, comorbidities, and stone composition. Results: With lower eGFR, the proportion of calcium stones declined while uric acid stones increased. On univariable analysis, lower eGFR was associated with lower urine pH, calcium, citrate, uric acid, magnesium, phosphorus, and ammonium. On multivariable analysis, controlling for age, sex, ethnicity, BMI, comorbidities, and stone type, these factors remained significant. Stone formers with lower eGFR had elevated supersaturation for uric acid, but reduced supersaturations for calcium-containing stones. Though urine oxalate was significant on univariable analysis, it was not on multivariable analysis. Discussion/Conclusion: Changes in urine parameters are strongly correlated with eGFR regardless of stone type. Renal function may play a key role in modulating kidney stone risk factors. Strategies to mitigate stone risk may need to vary with kidney function, especially when patient urine or stone composition data is unavailable.
DOI: 10.6084/m9.figshare.23256971.v1
title: Supplementary Material for: Risk Factors for Common Kidney Stones Are Correlated with Kidney Function Independent of Stone Composition

description: Background: Kidney stone type varies with age, sex, season, and medical conditions. Lower estimate glomerular filtration rate (eGFR) leads to changes in urine chemistry, and risk factors for kidney stones are thought to vary by stone type. We explore the association between eGFR, urine risk factors, and common stone compositions. Methods: This was a retrospective cohort study of 811 kidney stone patients seen at Yale Medicine between 1994-2021 with serum chemistries and 24-hour urine chemistries matched within one year of baseline stone analysis. Patients’ eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2021 equation. Demographics and medical history were compared by Chi-squared tests. 24-hour urine chemistries and stone analyses were analyzed by one-way ANOVA. Linear regressions were performed to control for demographics, comorbidities, and stone composition. Results: With lower eGFR, the proportion of calcium stones declined while uric acid stones increased. On univariable analysis, lower eGFR was associated with lower urine pH, calcium, citrate, uric acid, magnesium, phosphorus, and ammonium. On multivariable analysis, controlling for age, sex, ethnicity, BMI, comorbidities, and stone type, these factors remained significant. Stone formers with lower eGFR had elevated supersaturation for uric acid, but reduced supersaturations for calcium-containing stones. Though urine oxalate was significant on univariable analysis, it was not on multivariable analysis. Discussion/Conclusion: Changes in urine parameters are strongly correlated with eGFR regardless of stone type. Renal function may play a key role in modulating kidney stone risk factors. Strategies to mitigate stone risk may need to vary with kidney function, especially when patient urine or stone composition data is unavailable.
DOI: 10.6084/m9.figshare.23256974
title: Supplementary Material for: Risk Factors for Common Kidney Stones Are Correlated with Kidney Function Independent of Stone Composition

description: Background: Kidney stone type varies with age, sex, season, and medical conditions. Lower estimate glomerular filtration rate (eGFR) leads to changes in urine chemistry, and risk factors for kidney stones are thought to vary by stone type. We explore the association between eGFR, urine risk factors, and common stone compositions. Methods: This was a retrospective cohort study of 811 kidney stone patients seen at Yale Medicine between 1994-2021 with serum chemistries and 24-hour urine chemistries matched within one year of baseline stone analysis. Patients’ eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2021 equation. Demographics and medical history were compared by Chi-squared tests. 24-hour urine chemistries and stone analyses were analyzed by one-way ANOVA. Linear regressions were performed to control for demographics, comorbidities, and stone composition. Results: With lower eGFR, the proportion of calcium stones declined while uric acid stones increased. On univariable analysis, lower eGFR was associated with lower urine pH, calcium, citrate, uric acid, magnesium, phosphorus, and ammonium. On multivariable analysis, controlling for age, sex, ethnicity, BMI, comorbidities, and stone type, these factors remained significant. Stone formers with lower eGFR had elevated supersaturation for uric acid, but reduced supersaturations for calcium-containing stones. Though urine oxalate was significant on univariable analysis, it was not on multivariable analysis. Discussion/Conclusion: Changes in urine parameters are strongly correlated with eGFR regardless of stone type. Renal function may play a key role in modulating kidney stone risk factors. Strategies to mitigate stone risk may need to vary with kidney function, especially when patient urine or stone composition data is unavailable.
DOI: 10.6084/m9.figshare.23256974.v1
title: Supplementary Material for: Risk Factors for Common Kidney Stones Are Correlated with Kidney Function Independent of Stone Composition

description: Background: Kidney stone type varies with age, sex, season, and medical conditions. Lower estimate glomerular filtration rate (eGFR) leads to changes in urine chemistry, and risk factors for kidney stones are thought to vary by stone type. We explore the association between eGFR, urine risk factors, and common stone compositions. Methods: This was a retrospective cohort study of 811 kidney stone patients seen at Yale Medicine between 1994-2021 with serum chemistries and 24-hour urine chemistries matched within one year of baseline stone analysis. Patients’ eGFR was calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2021 equation. Demographics and medical history were compared by Chi-squared tests. 24-hour urine chemistries and stone analyses were analyzed by one-way ANOVA. Linear regressions were performed to control for demographics, comorbidities, and stone composition. Results: With lower eGFR, the proportion of calcium stones declined while uric acid stones increased. On univariable analysis, lower eGFR was associated with lower urine pH, calcium, citrate, uric acid, magnesium, phosphorus, and ammonium. On multivariable analysis, controlling for age, sex, ethnicity, BMI, comorbidities, and stone type, these factors remained significant. Stone formers with lower eGFR had elevated supersaturation for uric acid, but reduced supersaturations for calcium-containing stones. Though urine oxalate was significant on univariable analysis, it was not on multivariable analysis. Discussion/Conclusion: Changes in urine parameters are strongly correlated with eGFR regardless of stone type. Renal function may play a key role in modulating kidney stone risk factors. Strategies to mitigate stone risk may need to vary with kidney function, especially when patient urine or stone composition data is unavailable.
DOI: 10.6084/m9.figshare.22016120
title: Leaf litter in fruit orchards in winter is a hot spot for invertebrate predators and biodiversity

description: Table 1: List of sampled invertebrates in particular terms, orchards and their status in plant protection Table 2: List of the sampled spiders in particular terms, orchards, and their functional traits Table 3: Representative microhabitat characteristic of the floor of the investigated orchards. The numerical scale is according Brown-Blanquet scale <br>
DOI: 10.6084/m9.figshare.22016120.v2
title: Leaf litter in fruit orchards in winter is a hot spot for invertebrate predators and biodiversity

description: Table 1: List of sampled invertebrates in particular terms, orchards and their status in plant protection Table 2: List of the sampled spiders in particular terms, orchards, and their functional traits Table 3: Representative microhabitat characteristic of the floor of the investigated orchards. The numerical scale is according Brown-Blanquet scale <br>
DOI: 10.6084/m9.figshare.22016120.v1
title: Leaf litter of fruit orchards as a suitable overwintering microhabitat for invertebrate predators; an important tool for sustainable pest management and biodiversity

description: Table 1: Dataset of the evaluation of the micro-habitat structure Table 2: List of overwintering invertebrate species in three fruit orchards at the begining and end of winter 2018/2019 and 2019/2020 Table 3: List of overwintring spiders in three fruit orchards at the begining and end of winter 2018/2019 and 2019/2020
DOI: 10.5281/zenodo.7907617
title: A Deep Learning Approach to Quantitative Precipitation Estimation Mainly Using Weather Radar Data: Taking the Plum Rain Season in Taiwan as an Example

description: The following partial dataset is provided by the authors for the Quantitative Precipitation Estimation method presented in the paper. wissdom_out_Taiwan_mosaic_202105010000.bin is wind data, the number means year, data, and time. CAPPI_COMP_DR_202005100000.bin is radar data. qpepre_202005010000-202005010100_1_h.txt is rain data.
DOI: 10.5281/zenodo.7907616
title: A Deep Learning Approach to Quantitative Precipitation Estimation Mainly Using Weather Radar Data: Taking the Plum Rain Season in Taiwan as an Example

description: The following partial dataset is provided by the authors for the Quantitative Precipitation Estimation method presented in the paper. wissdom_out_Taiwan_mosaic_202105010000.bin is wind data, the number means year, data, and time. CAPPI_COMP_DR_202005100000.bin is radar data. qpepre_202005010000-202005010100_1_h.txt is rain data.
DOI: 10.23728/fmi-b2share.57cfcb1090e34130b11ef58877ff10bf
title: Broadband shortwave and longwave radiation measured in Sodankylä during the SnowAPP project

description: Broadband shortwave and longwave downwelling and upwelling radiation measured at the FMI Arctic Space Center in Sodankylä, inside the fenced wetland area, during three consecutive springs (2019, 2020, and 2021) in the framework of the SnowAPP field campaigns (Academy of Finland project #315497). The measurement period started before the onset of spring snow melt (around mid-March) and ended when the area became inaccessible. The used instruments were Kipp and Zonen CMP22 pyranometers and CG4 pyrgeometers in 2019 and Eppley PSP pyranometers and PIR pyranometers in 2020 and 2021 and were installed at about 1.5 m above the snow surface. The data are organized in daily files, the corresponding date being part of the file's name. The files include both the raw data (mV) and the calculated radiative fluxes (W/m2) as well as ancillary data such as battery voltage, temperature of the Campbell CR1000 data logger, and digital inclinometer output (in north-south and east-west directions). No quality check is applied to this published version of the dataset.
DOI: 10.34740/kaggle/dsv/5804700
title: ISABELA 2019 dataset from sleep analysis service
DOI: 10.5281/zenodo.7899079
title: A Deep-Learning-Based Approach to the Downscaling of Precipitation Data Observed in Taiwan

description: The data set is provided by the authors for the observational precipitation data downscaling method presented in the paper.
DOI: 10.5281/zenodo.7899078
title: A Deep-Learning-Based Approach to the Downscaling of Precipitation Data Observed in Taiwan

description: The data set is provided by the authors for the observational precipitation data downscaling method presented in the paper.
DOI: 10.6084/m9.figshare.23074844
title: Aboveground, belowground, and total primary productivity of a temperate steppe

description: Aboveground, belowground, and total primary productivity across N addition gradient in a temperate steppe during 2016-2020
DOI: 10.34740/kaggle/dsv/5805108
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.22316641.v3
title: scIBD website data

description: Data files used in scIBD (www.scibd.cn) is also available here. Gene expression matrix Integrated gene expression matrix of scIBD (Anndata object in H5AD format) (scIBD.gex_matrix.h5ad) Integrated gene expression matrix of scIBD (Seurat object in RDS format) (scIBD.gex_matrix.rds) Meta data of scIBD (scIBD_sample_meta_data.txt.gz) Differential expressed genes Differential expressed genes across cell subtypes within each major cluster (scIBD.deg_by_major_cluster.rds) Differential activated regulons Differential regulons between healthy and disease in each major cluster (scIBD.diff_regulon_by_major_cluster.rds)
DOI: 10.34740/kaggle/dsv/5805114
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5063/f19s1phj
title: Climate data, host plants, length of leafhopper in typical karst areas of Guizhou, China

description: The climate and host plant data of Typhlocybinae species in Guizhou, China were investigated, and their representative species were photographed and measured by scanning electron microscopy.Attached Table1 Climate data in each plotAttached Table2 Leaf characteristics of host plants in each plotAttached Table3 Sample selection of scanning electron microscope photographyAttached Table4 Length (μm) data measured by scanning electron microscope (mean ± SE) (N=3)Attached Table5 Statistics on the sensilla of TyphlocybinaeAttached Table6 Community structure of typhlocybine leafhoppers in the study areas
DOI: 10.6084/m9.figshare.22730543.v2
title: Source Data

description: Source Code of the manuscript Nie et al., "Single-cell meta-analysis of inflammatory bowel disease with scIBD".
DOI: 10.5063/f1610xs4
title: Climate data, host plants, length of leafhopper in typical karst areas of Guizhou, China

description: The climate and host plant data of Typhlocybinae species in Guizhou, China were investigated, and their representative species were photographed and measured by scanning electron microscopy.Attached Table1 Climate data in each plotAttached Table2 Leaf characteristics of host plants in each plotAttached Table3 Sample selection of scanning electron microscope photographyAttached Table4 Length (μm) data measured by scanning electron microscope (mean ± SE) (N=3)Attached Table5 Statistics on the sensilla of TyphlocybinaeAttached Table6 Community structure of typhlocybine leafhoppers in the study areas
DOI: 10.17028/rd.lboro.23257082
title: Supplementary information files for Carrying out a multi-model integrated assessment of European energy transition pathways: Challenges and benefits

description: Supplementary files for article Carrying out a multi-model integrated assessment of European energy transition pathways: Challenges and benefits With the publication of the European Green Deal, the European Union has committed to reaching carbon neutrality by 2050. The envisaged reductions of direct greenhouse gases emissions are seen as technically feasible, but if a wrong path is pursued, significant unintended impacts across borders, sectors, societies and ecosystems may follow. Without the insights gained from an impact assessment framework reaching beyond the techno-economic perspective, the pursuit of direct emission reductions may lead to counterproductive outcomes in the long run. We discuss the opportunities and challenges related to the creation and use of an integrated assessment framework built to inform the European Commission on the path to decarbonisation. The framework is peculiar in that it goes beyond existing ones in its scope, depth and cross-scale coverage, by use of numerous specialised models and case studies. We find challenges of consistency that can be overcome by linking modelling tools iteratively in some cases, harmonising modelling assumptions in others, comparing model outputs in others. We find the highest added value of the framework in additional insights it provides on the technical feasibility of decarbonisation pathways, on vulnerability aspects and on unintended environmental and health impacts on national and sub-national scale.
DOI: 10.17028/rd.lboro.23257082.v1
title: Supplementary information files for Carrying out a multi-model integrated assessment of European energy transition pathways: Challenges and benefits

description: Supplementary files for article Carrying out a multi-model integrated assessment of European energy transition pathways: Challenges and benefits With the publication of the European Green Deal, the European Union has committed to reaching carbon neutrality by 2050. The envisaged reductions of direct greenhouse gases emissions are seen as technically feasible, but if a wrong path is pursued, significant unintended impacts across borders, sectors, societies and ecosystems may follow. Without the insights gained from an impact assessment framework reaching beyond the techno-economic perspective, the pursuit of direct emission reductions may lead to counterproductive outcomes in the long run. We discuss the opportunities and challenges related to the creation and use of an integrated assessment framework built to inform the European Commission on the path to decarbonisation. The framework is peculiar in that it goes beyond existing ones in its scope, depth and cross-scale coverage, by use of numerous specialised models and case studies. We find challenges of consistency that can be overcome by linking modelling tools iteratively in some cases, harmonising modelling assumptions in others, comparing model outputs in others. We find the highest added value of the framework in additional insights it provides on the technical feasibility of decarbonisation pathways, on vulnerability aspects and on unintended environmental and health impacts on national and sub-national scale.
DOI: 10.5281/zenodo.7090607
title: Karamaneas et al_RSETR_2022_DATASET

description: This dataset contains the LEAP and OSeMOSYS output data for the manuscript Karamaneas et al., submitted to Renewable & Sustainable Energy Transition in September 2022.
DOI: 10.5281/zenodo.7090606
title: Karamaneas et al_RSETR_2022_DATASET

description: This dataset contains the LEAP and OSeMOSYS output data for the manuscript Karamaneas et al., submitted to Renewable & Sustainable Energy Transition in September 2022.
DOI: 10.23729/4eed8497-cff3-41c0-9ccc-24bb67476d5f
title: Kierroksia biopeittoon freeze-thaw experiments preview

description: Three samples of biochar 1 (spruce) imaged with nanofocus tube during freeze-thaw cycles. Nano1 and nano2 were frozen 2-3 times, nano3 25 times. Collective project preview entry: https://doi.org/10.23729/c6c8168e-1feb-472d-969b-bb8bdadcb609 Preview of PAS dataset https://doi.org/10.23729/98236824-c8ec-4037-945e-975ac12fcd0b