cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7478918
title: A long-term monthly dataset of cloud fraction over the Arctic based on multiple satellite products using cumulative distribution function matching and Bayesian maximum entropy

description: The low accuracy of satellite Cloud fraction (CF) over the Arctic seriously restricts accurate assessment of regional and global radiant energy balance under the changing climate. Previous studies have reported that not a single satellite CF product could satisfy the needs of accuracy and spatio-temporal coverage simultaneously for long-term applications over the Arctic. Merging multiple CF products with complementary properties is an effective way to produce more spatiotemporally complete and accurate CF data record. This study proposed a spatiotemporal statistical data fusion framework based on cumulative distribution function (CDF) matching and Bayesian maximum entropy (BME) method to produce a syncretic 1°×1° CF dataset in the Arctic during 2000-2020. The original datasets contain CF from MOD08/MYD08, CERES-SSF Terra/Aqua, CLARA-A2 AM/PM, PATMOS-x AM/PM, ISCCP-H AM/PM. The fused CF product is more consistent with the active satellite data GEWEX-CALIPSO and the ground-based observation data CRU TS4.05.
DOI: 10.5281/zenodo.7478919
title: A long-term monthly dataset of cloud fraction over the Arctic based on Multiple Satellite products Using Cumulative Distribution Function Matching and Bayesian Maximum Entropy

description: The low accuracy of satellite Cloud fraction (CF) over the Arctic seriously restricts accurate assessment of regional and global radiant energy balance under the changing climate. Previous studies have reported that not a single satellite CF product could satisfy the needs of accuracy and spatio-temporal coverage simultaneously for long-term applications over the Arctic. Merging multiple CF products with complementary properties is an effective way to produce more spatiotemporally complete and accurate CF data record. This study proposed a spatiotemporal statistical data fusion framework based on cumulative distribution function (CDF) matching and Bayesian maximum entropy (BME) method to produce a syncretic 1°×1° CF dataset in the Arctic during 2000-2020. The original datasets contain CF from MOD08/MYD08, CERES-SSF Terra/Aqua, CLARA-A2 AM/PM, PATMOS-x AM/PM, ISCCP-H AM/PM. The fused CF product is more consistent with the active satellite data GEWEX-CALIPSO and the ground-based observation data CRU TS4.05.
DOI: 10.5281/zenodo.7624605
title: A long-term monthly dataset of cloud fraction over the Arctic based on multiple satellite products using cumulative distribution function matching and Bayesian maximum entropy

description: The low accuracy of satellite Cloud fraction (CF) over the Arctic seriously restricts accurate assessment of regional and global radiant energy balance under the changing climate. Previous studies have reported that not a single satellite CF product could satisfy the needs of accuracy and spatio-temporal coverage simultaneously for long-term applications over the Arctic. Merging multiple CF products with complementary properties is an effective way to produce more spatiotemporally complete and accurate CF data record. This study proposed a spatiotemporal statistical data fusion framework based on cumulative distribution function (CDF) matching and Bayesian maximum entropy (BME) method to produce a syncretic 1°×1° CF dataset in the Arctic during 2000-2020. The original datasets contain CF from MOD08/MYD08, CERES-SSF Terra/Aqua, CLARA-A2 AM/PM, PATMOS-x AM/PM, ISCCP-H AM/PM. The fused CF product is more consistent with the active satellite data GEWEX-CALIPSO and the ground-based observation data CRU TS4.05.
DOI: 10.6084/m9.figshare.22059281
title: Supplementary Material for: Long-term safety, clinical and immunological outcomes in Primary Membranous Nephropathy with Severe Renal Impairment treated with cyclophosphamide and steroid-based regimen

description: Introduction and Aims Therapy of Primary Membranous nephropathy (PMN) with progressive advanced kidney dysfunction is challenging with limited literature and no clear therapeutic strategies. This is due to the scant evidence of effectiveness and uncertainty around the risk-benefit profile of immunosuppression (ImS) when eGFR is less than 30 ml/min. We aimed to determine long term clinical outcomes in patients with PMN and severe renal impairment treated with combined cyclophosphamide and steroids. Methods The study is a single-centre retrospective longitudinal cohort study. All patients (between 2004-2019) with biopsy confirmed PMN who initiated combination therapy with steroids and cyclophosphamide and had an eGFR of ≤30ml/min/1.73m2 at the time of initiation of therapy were included for analysis. Clinical and laboratory parameters including Anti-PLA2R-Ab were monitored as per standard clinical guidance. Primary outcome was achievement of partial remission. Secondary outcomes included immunological remission, need for renal replacement therapy, and adverse effects. Results Eighteen patients with median age of 68 (IQR 58-73) years and 5:1 M:F ratio received the combination therapy when eGFR was ≤30ml/min/1.73m2 (CKD-EPI). At time of immunosuppression, median eGFR and uPCR were 23 (IQR 18-27) ml/min/1.73m2 and 1000 (IQR 838-1285) mg/mmol respectively. Median follow-up was for 67 (IQR 27-80) months. 16 patients (89%) achieved partial Remission and 7 (39%) achieved complete remission. eGFR increased by 7ml/min/1.73m2 (27%) after one year of starting immunosuppression treatment and 12ml/min/1.73m2 at end of follow-up. Two patients (11%) developed end stage renal disease needing renal replacement therapy. 67% achieved both immunological and clinical remission. Two (11%) patients required hospitalization secondary to infections, 4 (22%) patients developed cancer and 4 patients died (22%). Conclusion Combination therapy with cyclophosphamide and steroids is effective in achieving partial remission and improving renal function in PMN with advanced renal dysfunction. Prospective controlled studies are required to provide further evidence and improve outcomes in such patients.
DOI: 10.6084/m9.figshare.22059281.v1
title: Supplementary Material for: Long-term safety, clinical and immunological outcomes in Primary Membranous Nephropathy with Severe Renal Impairment treated with cyclophosphamide and steroid-based regimen

description: Introduction and Aims Therapy of Primary Membranous nephropathy (PMN) with progressive advanced kidney dysfunction is challenging with limited literature and no clear therapeutic strategies. This is due to the scant evidence of effectiveness and uncertainty around the risk-benefit profile of immunosuppression (ImS) when eGFR is less than 30 ml/min. We aimed to determine long term clinical outcomes in patients with PMN and severe renal impairment treated with combined cyclophosphamide and steroids. Methods The study is a single-centre retrospective longitudinal cohort study. All patients (between 2004-2019) with biopsy confirmed PMN who initiated combination therapy with steroids and cyclophosphamide and had an eGFR of ≤30ml/min/1.73m2 at the time of initiation of therapy were included for analysis. Clinical and laboratory parameters including Anti-PLA2R-Ab were monitored as per standard clinical guidance. Primary outcome was achievement of partial remission. Secondary outcomes included immunological remission, need for renal replacement therapy, and adverse effects. Results Eighteen patients with median age of 68 (IQR 58-73) years and 5:1 M:F ratio received the combination therapy when eGFR was ≤30ml/min/1.73m2 (CKD-EPI). At time of immunosuppression, median eGFR and uPCR were 23 (IQR 18-27) ml/min/1.73m2 and 1000 (IQR 838-1285) mg/mmol respectively. Median follow-up was for 67 (IQR 27-80) months. 16 patients (89%) achieved partial Remission and 7 (39%) achieved complete remission. eGFR increased by 7ml/min/1.73m2 (27%) after one year of starting immunosuppression treatment and 12ml/min/1.73m2 at end of follow-up. Two patients (11%) developed end stage renal disease needing renal replacement therapy. 67% achieved both immunological and clinical remission. Two (11%) patients required hospitalization secondary to infections, 4 (22%) patients developed cancer and 4 patients died (22%). Conclusion Combination therapy with cyclophosphamide and steroids is effective in achieving partial remission and improving renal function in PMN with advanced renal dysfunction. Prospective controlled studies are required to provide further evidence and improve outcomes in such patients.
DOI: 10.5281/zenodo.7624624
title: Microseism-catalog-2009-2019

description: Microseism-catalog-2009-2019
DOI: 10.5281/zenodo.7624623
title: Microseism-catalog-2009-2019

description: Microseism-catalog-2009-2019
DOI: 10.6084/m9.figshare.22059296
title: Supplementary Material for: Long-term safety, clinical and immunological outcomes in Primary Membranous Nephropathy with Severe Renal Impairment treated with cyclophosphamide and steroid-based regimen

description: Introduction and Aims Therapy of Primary Membranous nephropathy (PMN) with progressive advanced kidney dysfunction is challenging with limited literature and no clear therapeutic strategies. This is due to the scant evidence of effectiveness and uncertainty around the risk-benefit profile of immunosuppression (ImS) when eGFR is less than 30 ml/min. We aimed to determine long term clinical outcomes in patients with PMN and severe renal impairment treated with combined cyclophosphamide and steroids. Methods The study is a single-centre retrospective longitudinal cohort study. All patients (between 2004-2019) with biopsy confirmed PMN who initiated combination therapy with steroids and cyclophosphamide and had an eGFR of ≤30ml/min/1.73m2 at the time of initiation of therapy were included for analysis. Clinical and laboratory parameters including Anti-PLA2R-Ab were monitored as per standard clinical guidance. Primary outcome was achievement of partial remission. Secondary outcomes included immunological remission, need for renal replacement therapy, and adverse effects. Results Eighteen patients with median age of 68 (IQR 58-73) years and 5:1 M:F ratio received the combination therapy when eGFR was ≤30ml/min/1.73m2 (CKD-EPI). At time of immunosuppression, median eGFR and uPCR were 23 (IQR 18-27) ml/min/1.73m2 and 1000 (IQR 838-1285) mg/mmol respectively. Median follow-up was for 67 (IQR 27-80) months. 16 patients (89%) achieved partial Remission and 7 (39%) achieved complete remission. eGFR increased by 7ml/min/1.73m2 (27%) after one year of starting immunosuppression treatment and 12ml/min/1.73m2 at end of follow-up. Two patients (11%) developed end stage renal disease needing renal replacement therapy. 67% achieved both immunological and clinical remission. Two (11%) patients required hospitalization secondary to infections, 4 (22%) patients developed cancer and 4 patients died (22%). Conclusion Combination therapy with cyclophosphamide and steroids is effective in achieving partial remission and improving renal function in PMN with advanced renal dysfunction. Prospective controlled studies are required to provide further evidence and improve outcomes in such patients.
DOI: 10.6084/m9.figshare.22059296.v1
title: Supplementary Material for: Long-term safety, clinical and immunological outcomes in Primary Membranous Nephropathy with Severe Renal Impairment treated with cyclophosphamide and steroid-based regimen

description: Introduction and Aims Therapy of Primary Membranous nephropathy (PMN) with progressive advanced kidney dysfunction is challenging with limited literature and no clear therapeutic strategies. This is due to the scant evidence of effectiveness and uncertainty around the risk-benefit profile of immunosuppression (ImS) when eGFR is less than 30 ml/min. We aimed to determine long term clinical outcomes in patients with PMN and severe renal impairment treated with combined cyclophosphamide and steroids. Methods The study is a single-centre retrospective longitudinal cohort study. All patients (between 2004-2019) with biopsy confirmed PMN who initiated combination therapy with steroids and cyclophosphamide and had an eGFR of ≤30ml/min/1.73m2 at the time of initiation of therapy were included for analysis. Clinical and laboratory parameters including Anti-PLA2R-Ab were monitored as per standard clinical guidance. Primary outcome was achievement of partial remission. Secondary outcomes included immunological remission, need for renal replacement therapy, and adverse effects. Results Eighteen patients with median age of 68 (IQR 58-73) years and 5:1 M:F ratio received the combination therapy when eGFR was ≤30ml/min/1.73m2 (CKD-EPI). At time of immunosuppression, median eGFR and uPCR were 23 (IQR 18-27) ml/min/1.73m2 and 1000 (IQR 838-1285) mg/mmol respectively. Median follow-up was for 67 (IQR 27-80) months. 16 patients (89%) achieved partial Remission and 7 (39%) achieved complete remission. eGFR increased by 7ml/min/1.73m2 (27%) after one year of starting immunosuppression treatment and 12ml/min/1.73m2 at end of follow-up. Two patients (11%) developed end stage renal disease needing renal replacement therapy. 67% achieved both immunological and clinical remission. Two (11%) patients required hospitalization secondary to infections, 4 (22%) patients developed cancer and 4 patients died (22%). Conclusion Combination therapy with cyclophosphamide and steroids is effective in achieving partial remission and improving renal function in PMN with advanced renal dysfunction. Prospective controlled studies are required to provide further evidence and improve outcomes in such patients.
DOI: 10.5281/zenodo.7624630
title: Experimental characterisation of the ULB semi-industrial furnace operating under MILD conditions with non-conventional fuels

description: This data set contains: - Averaged temperature measurements data<br> - Species concentrations measurements in the exhausted gas<br> - Ensemble-averaged OH* and CH* radicals chemiluminescence spatially resolved intensity values The furnace is fired using a 20 kW capacity recuperative commercial flame/FLOX® burner (REKUMAT M150) of WS make. The following fuel mixtures were tested: - Fuel mixtures of CH4/H2<br> - Fuel mixtures of NH3/H2<br> - Fuel mixtures of CH3OCH3/CH4 and CH3OCH3/H2
description: {"references": ["10.1016/j.ijhydene.2021.07.161", "10.1016/j.ijhydene.2022.10.104", "10.3389/fenrg.2020.597655"]}
DOI: 10.5281/zenodo.7624629
title: Experimental characterisation of the ULB semi-industrial furnace operating under MILD conditions with non-conventional fuels

description: This data set contains: - Averaged temperature measurements data<br> - Species concentrations measurements in the exhausted gas<br> - Ensemble-averaged OH* and CH* radicals chemiluminescence spatially resolved intensity values The furnace is fired using a 20 kW capacity recuperative commercial flame/FLOX® burner (REKUMAT M150) of WS make. The following fuel mixtures were tested: - Fuel mixtures of CH4/H2<br> - Fuel mixtures of NH3/H2<br> - Fuel mixtures of CH3OCH3/CH4 and CH3OCH3/H2
description: {"references": ["10.1016/j.ijhydene.2021.07.161", "10.1016/j.ijhydene.2022.10.104", "10.3389/fenrg.2020.597655"]}
DOI: 10.6084/m9.figshare.22059308
title: Supplementary table 1

description: GO term ober-representation anlaysis fo each tissue and time point in the paper.
DOI: 10.6084/m9.figshare.22059308.v1
title: Supplementary table 1

description: GO term ober-representation anlaysis fo each tissue and time point in the paper.
DOI: 10.5281/zenodo.7509980
title: A multi-system comparison of forecast flooding extent using a scale-selective approach [data]

description: A multi-system comparison of forecast flooding extent using a scale-selective approach, data. Creator: Helen Hooker[1] Publication Year: 2023 Organisation(s): 1. Department of Meteorology, University of Reading, U.K Description: This dataset contains: - SAR-derived observed flood maps used in the study. - CSM validation maps for forecast flood maps from Food Foresight (FF), GloFAS Rapid Flood Mapping (RFM) and FFWC Super Model (FFWC) predicting flooding extent on 25 July 2020 for the Jamuna River, Bangladesh compared against Sentinel-1 SAR-derived flooding extent. File format is e.g. CSM_FF_forecastdate_rundate.tif. CSM maps for Flood Foresight following system improvement are labelled with ..._reas.tif. Helen Hooker. (2023). A multi-system comparison of forecast flooding extent using a scale-selective approach (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7509980 Related publications: A multi-system comparison of forecast flooding extent using a scale-selective approach; 2023; Hydrology Research (in preparation) Helen Hooker[1], Sarah L. Dance[1,2,3], David C. Mason[4], John Bevington[5], and Kay Shelton[5] Department of Meteorology, University of Reading, UK. Department of Mathematics and Statistics, University of Reading, UK. NCEO, University of Reading, UK. Department of Geography and Environmental Science, University of Reading, UK. JBA Consulting, UK. Correspondence: Helen Hooker (h.hooker@pgr.reading.ac.uk)
DOI: 10.5281/zenodo.7509979
title: A multi-system comparison of forecast flooding extent using a scale-selective approach [data]

description: A multi-system comparison of forecast flooding extent using a scale-selective approach, data. Creator: Helen Hooker[1] Publication Year: 2023 Organisation(s): 1. Department of Meteorology, University of Reading, U.K Description: This dataset contains: - SAR-derived observed flood maps used in the study. - CSM validation maps for forecast flood maps from Food Foresight (FF), GloFAS Rapid Flood Mapping (RFM) and FFWC Super Model (FFWC) predicting flooding extent on 25 July 2020 for the Jamuna River, Bangladesh compared against Sentinel-1 SAR-derived flooding extent. File format is e.g. CSM_FF_forecastdate_rundate.tif. CSM maps for Flood Foresight following system improvement are labelled with ..._reas.tif. Helen Hooker. (2023). A multi-system comparison of forecast flooding extent using a scale-selective approach (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7509980 Related publications: A multi-system comparison of forecast flooding extent using a scale-selective approach; 2023; Hydrology Research (in preparation) Helen Hooker[1], Sarah L. Dance[1,2,3], David C. Mason[4], John Bevington[5], and Kay Shelton[5] Department of Meteorology, University of Reading, UK. Department of Mathematics and Statistics, University of Reading, UK. NCEO, University of Reading, UK. Department of Geography and Environmental Science, University of Reading, UK. JBA Consulting, UK. Correspondence: Helen Hooker (h.hooker@pgr.reading.ac.uk)
DOI: 10.6084/m9.figshare.22059317
title: Indo-Pacific Research Policy Dataset

description: The original dataset used for Indo-Pacific security policy research.
DOI: 10.5258/soton/d2474
title: Dataset in support of the Southampton doctoral thesis 'Efficient Video Recognition with Convolutional Neural Networks by Exploiting Temporal Correlation in Video Data

description: This dataset contains: Data for Figure 3.1, Figure.3.7 ,Figure.3.10, Figure.3.21 ,Figure.3.13 ,Figure.3.14, Figure.3.15, Figure.3.16, Figure.3.17, Figure.3.18. Table 4.1, Table 4.2, Table 4.3, Table 4.4
DOI: 10.6084/m9.figshare.22059332
title: Original data

description: <strong>Effects of composite soil conditioner on soil properties and corn yield in a saline-alkali soil</strong>
DOI: 10.6084/m9.figshare.22059332.v1
title: Original data

description: <strong>Effects of composite soil conditioner on soil properties and corn yield in a saline-alkali soil</strong>
DOI: 10.6084/m9.figshare.19574926
title: Original data.xlsx

description: <strong>Treatment of the saline-alkali soil with the composite soil conditioner and its effect on corn yield</strong>
DOI: 10.6084/m9.figshare.19574926.v3
title: Original data.xlsx

description: <strong>Treatment of the saline-alkali soil with the composite soil conditioner and its effect on corn yield</strong>
DOI: 10.6084/m9.figshare.19574926.v2
title: Original data.xlsx

description: <strong>Treatment of the saline-alkali soil with the composite soil conditioner and its effect on corn yield</strong>
DOI: 10.5517/ccdc.csd.cc24jx7v
title: CCDC 1982457: Experimental Crystal Structure Determination

description: Related Article: Thomas Delouche, Ghizlene Taifour, Marie Cordier, Thierry Roisnel, Denis Tondelier, Payal Manzhi, Bernard Geffroy, Boris Le Guennic, Denis Jacquemin, Muriel Hissler, Pierre-Antoine Bouit|2022|Chem.Commun.|58|88|doi:10.1039/D1CC06309J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24jx8w
title: CCDC 1982458: Experimental Crystal Structure Determination

description: Related Article: Thomas Delouche, Ghizlene Taifour, Marie Cordier, Thierry Roisnel, Denis Tondelier, Payal Manzhi, Bernard Geffroy, Boris Le Guennic, Denis Jacquemin, Muriel Hissler, Pierre-Antoine Bouit|2022|Chem.Commun.|58|88|doi:10.1039/D1CC06309J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24jx9x
title: CCDC 1982459: Experimental Crystal Structure Determination

description: Related Article: Thomas Delouche, Ghizlene Taifour, Marie Cordier, Thierry Roisnel, Denis Tondelier, Payal Manzhi, Bernard Geffroy, Boris Le Guennic, Denis Jacquemin, Muriel Hissler, Pierre-Antoine Bouit|2022|Chem.Commun.|58|88|doi:10.1039/D1CC06309J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc25578w
title: CCDC 2001027: Experimental Crystal Structure Determination

description: Related Article: Thomas Delouche, Ghizlene Taifour, Marie Cordier, Thierry Roisnel, Denis Tondelier, Payal Manzhi, Bernard Geffroy, Boris Le Guennic, Denis Jacquemin, Muriel Hissler, Pierre-Antoine Bouit|2022|Chem.Commun.|58|88|doi:10.1039/D1CC06309J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc27q9jt
title: CCDC 2077016: Experimental Crystal Structure Determination

description: Related Article: Marc Camats, Isabelle Favier, Sonia Mallet-Ladeira, Daniel Pla, Montserrat Gómez|2022|Org.Biomol.Chem.|20|219|doi:10.1039/D1OB02118D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.