cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48577/jpl.stcbsq
title: Vitreous Magnesium Sulfate Hydrate as a Potential Mechanism for Preservation of Microbial Viability on Europa

description: Europa’s subsurface ocean is postulated to contain appreciable amounts of Mg2+ and SO42- ions, among other species. Recent laboratory experiments have shown that when solutions containing these species freeze to Europa relevant temperatures, they can form vitreous MgSO4 hydrate, which can remain stable at these temperatures. Since vitreous phases have the potential to protect cells from physical damage that can occur during crystallization, their presence on Europa could potentially preserve entrained microorganisms from the ocean below. However, to date, it remains unclear whether such materials actually impact microbial survival. In this work, experiments were performed in which the motile non-spore forming Antarctic isolate Pseudoalteromonas haloplanktis in solutions of 0.1M MgSO4 were frozen to Europa surface temperatures (100 K) under conditions that resulted in formation of either vitreous or crystalline salt hydrates. We found that cells survived in both cases, exhibiting a 3-log reduction in viable cells in the crystalline salt hydrate case while only a 1.5-log reduction in the vitreous salt hydrate case. Scanning electron microscopy accordingly showed much higher degrees of membrane lysis and cellular damage in the crystalline salt hydrate than the vitreous case. Our results demonstrate the ability of a terrestrial oceanic microorganism to survive in MgSO4 solutions frozen to Europa surface temperatures, with enhanced viability in vitreous salt hydrate-producing conditions versus crystalline. These findings suggest that future missions should target vitrified salt-rich environments for life detection due to this potential for preserving viable microorganisms that may be present and trapped in ocean world ices.
DOI: 10.6084/m9.figshare.23695422.v1
title: Spring reproductive success influences autumnal malarial load in wild birds

description: The data and R code contained in the attached files are associated with the following article: "Spring reproductive success influences autumnal malarial load in wild birds" deposited in BioRxive on XX/XX/XX by Pigeault and colleagues. In this study we monitored the intensities of infection by two haemosporidian parasites – <em>Plasmodium relictum</em> and <em>P. homonucleophilum</em> – in two wild populations of great tits (<em>Parus major</em>) in Switzerland over three years, to characterize their annual infection dynamics. We also collected data on birds’ reproductive output – laying date, clutch size, fledging success – to determine whether they were associated with infection intensity before (winter), during (spring) and after (autumn) breeding season.
DOI: 10.17034/26edc138-722c-46ac-a363-c7554dc51c47
title: Dataset for “Processing feature-mapping topology optimisation designs towards feature-based CAD processing”

description: Dataset for paper entitled “Processing feature-mapping topology optimisation designs towards feature-based CAD processing”. Abstract for paper: Feature-mapping (FM) optimisation frameworks have received much attention for structural topology optimisation with explicit geometric parameters. The corresponding paper to this dataset presents a methodology for constructing parametric feature-based CAD models from designs generated using Moving Morphable Components (MMC). Emphasis is placed on constructing feature-based CAD models that conform to conventional modelling practices, where individual parameterised features are modelled using feature templates and united through Boolean union operations. This involves the use of algorithms to facilitate feature clean-up and identify connections between features. The progression through several examples demonstrates how the developed algorithms can realise a feature-based CAD model from the results of an FM optimisation. Integration with a commercial CAD system provides a wide range of modelling capabilities to the designer for downstream design tasks. Dataset information: The provided dataset includes a range of MATLAB code/scripts (.m / .rtf) created to test and validate the algorithms described in the corresponding publication. Also included is a .csv file containing data to recreate the cantilever beam example demonstrated in the manuscript, along with the key input parameters. Additional information is provided in the included readme file. The provided code may be used to generate feature-based models from the outputs of a feature-mapping optimisation where linear, constant-width features were used in the optimisation. The output of the code is a refined list of features and their geometric parameters that are more suitable for constructing a feature-based CAD model. The features may be created in CAD software using an extruded feature template. The dataset was finalised in August 2023.
DOI: 10.6084/m9.figshare.23815158
title: Dataset of patients and demographic

description: Demographic data collected from a cohort of patients who are HIV positive and not on treatment at the time.
DOI: 10.6084/m9.figshare.23815158.v2
title: Dataset of patients and demographic

description: Demographic data collected from a cohort of patients who are HIV positive and not on treatment at the time.
DOI: 10.24378/exe.1304
title: Gate Tunable Graphene-integrated Metasurface Modulator for Mid-Infrared Beam Steering (dataset)

description: This is the dataset used for the Shi et al. (2019) article "Gate Tunable Graphene-integrated Metasurface Modulator for Mid-Infrared Beam Steering" published in Optics Express.
description: Experimental and Simulation data for the results presented in the paper entitled "Gate Tunable Graphene-integrated Metasurface Modulator for Mid-Infrared Beam Steering"
description: The article associated with this dataset is available in ORE at http://hdl.handle.net/10871/37088
DOI: 10.24378/exe.1384
title: Assessing the knock-on effects of flooding on road transportation (dataset)

description: This is the dataset used for the Pyatkova et al. (2019) article "Assessing the knock-on effects of flooding on road transportation" published in the Journal of Environmental Management.
description: The article associated with this dataset is available in ORE at http://hdl.handle.net/10871/37087
DOI: 10.6084/m9.figshare.23946930
title: Supplementary Material for: Cardiorenal Outcomes With Finerenone in Asian Patients With Chronic Kidney Disease and Type 2 Diabetes: A FIDELIO-DKD Post Hoc Analysis

description: Introduction In FIDELIO-DKD, finerenone significantly improved cardiorenal outcomes in patients with chronic kidney disease and type 2 diabetes. This post hoc analysis explores finerenone in patients from the Asian region. Methods In FIDELIO-DKD, 5674 patients with type 2 diabetes and urine albumin-to-creatinine ratio ≥30–&lt;300 mg/g and estimated glomerular filtration rate (eGFR) ≥25–&lt;60 mL/min/1.73 m2, or urine albumin-to-creatinine ratio ≥300–≤5000 mg/g and eGFR ≥25–&lt;75 mL/min/1.73 m2, treated with optimized renin–angiotensin system blockade, were randomized 1:1 to finerenone or placebo. Efficacy outcomes included a primary kidney composite (time to kidney failure, sustained decrease of ≥40% in eGFR from baseline, and death from renal causes) and secondary cardiovascular (time to cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, or hospitalization for heart failure) and kidney (time to kidney failure, sustained decrease of ≥57% in eGFR from baseline, and death from renal causes) composites. Results Of 1,327 patients in the Asian subgroup, 665 received finerenone. Finerenone reduced the ≥40% and ≥57% eGFR kidney and cardiovascular composite outcomes versus placebo in the Asian subgroup (hazard ratio [HR]: 0.70; 95% confidence interval [CI]: 0.56–0.87, HR: 0.73; 95% CI: 0.55–0.97, and HR: 0.85; 95% CI: 0.59–1.21, respectively), with no apparent differences versus patients from the rest of the world (HR: 0.88; 95% CI: 0.77–1.02; P interaction 0.09, HR: 0.78; 95% CI: 0.64–0.95 P interaction 0.71, and HR: 0.86; 95% CI: 0.74–1.00; P interaction 0.95, respectively). The safety profile of finerenone was similar across subgroups. Discussion/Conclusion Finerenone produces similar cardiorenal benefits in Asian and non-Asian patients.
DOI: 10.6084/m9.figshare.23946930.v1
title: Supplementary Material for: Cardiorenal Outcomes With Finerenone in Asian Patients With Chronic Kidney Disease and Type 2 Diabetes: A FIDELIO-DKD Post Hoc Analysis

description: Introduction In FIDELIO-DKD, finerenone significantly improved cardiorenal outcomes in patients with chronic kidney disease and type 2 diabetes. This post hoc analysis explores finerenone in patients from the Asian region. Methods In FIDELIO-DKD, 5674 patients with type 2 diabetes and urine albumin-to-creatinine ratio ≥30–&lt;300 mg/g and estimated glomerular filtration rate (eGFR) ≥25–&lt;60 mL/min/1.73 m2, or urine albumin-to-creatinine ratio ≥300–≤5000 mg/g and eGFR ≥25–&lt;75 mL/min/1.73 m2, treated with optimized renin–angiotensin system blockade, were randomized 1:1 to finerenone or placebo. Efficacy outcomes included a primary kidney composite (time to kidney failure, sustained decrease of ≥40% in eGFR from baseline, and death from renal causes) and secondary cardiovascular (time to cardiovascular death, non-fatal myocardial infarction, non-fatal stroke, or hospitalization for heart failure) and kidney (time to kidney failure, sustained decrease of ≥57% in eGFR from baseline, and death from renal causes) composites. Results Of 1,327 patients in the Asian subgroup, 665 received finerenone. Finerenone reduced the ≥40% and ≥57% eGFR kidney and cardiovascular composite outcomes versus placebo in the Asian subgroup (hazard ratio [HR]: 0.70; 95% confidence interval [CI]: 0.56–0.87, HR: 0.73; 95% CI: 0.55–0.97, and HR: 0.85; 95% CI: 0.59–1.21, respectively), with no apparent differences versus patients from the rest of the world (HR: 0.88; 95% CI: 0.77–1.02; P interaction 0.09, HR: 0.78; 95% CI: 0.64–0.95 P interaction 0.71, and HR: 0.86; 95% CI: 0.74–1.00; P interaction 0.95, respectively). The safety profile of finerenone was similar across subgroups. Discussion/Conclusion Finerenone produces similar cardiorenal benefits in Asian and non-Asian patients.
DOI: 10.5517/ccdc.csd.cc20k3rg
title: CCDC 1863495: Experimental Crystal Structure Determination

description: Related Article: Darpandeep Aulakh, Timur Islamoglu, Veronica F. Bagundes, Juby R. Varghese, Kyle Duell, Monu Joy, Simon J. Teat, Omar K. Farha, Mario Wriedt|2018|Chem.Mater.|30|8332|doi:10.1021/acs.chemmater.8b03885
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.cc21438l
title: CCDC 1880778: Experimental Crystal Structure Determination

description: Related Article:  Donald T. T. Yapp, Steven J. Rettig, Brian R. James, Kirsten A. Skov|2018|CSD Communication|||
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.cc26sc1f
title: CCDC 2049194: Experimental Crystal Structure Determination

description: Related Article: Guoyong Dai, Qi Li, Dejin Zang, Yongge Wei|2023|Green Chemistry|25|6263|doi:10.1039/D3GC00951C
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.cc26sc4j
title: CCDC 2049197: Experimental Crystal Structure Determination

description: Related Article: Dai Tianming|2020|CSD Communication|||
description: Related Article: Guoyong Dai, Qi Li, Dejin Zang, Yongge Wei|2023|Green Chemistry|25|6263|doi:10.1039/D3GC00951C
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: 10.6084/m9.figshare.23946957
title: Series: Public engagement with research. Part 1: The fundamentals of public engagement with research

description: In the first of a four-part series, we describe the fundamentals of public engagement in primary care research. The article’s purpose is to encourage, inform and improve the researcher’s awareness about public engagement in research. For a growing number of researchers, funders and patient organisations in Europe, public engagement is a moral and ethical imperative for conducting high-quality research. Starting with an explanation of the role of public engagement in research, we highlight its diversity and benefits to research, researchers and the public members involved. We summarise principles of good practice and provide valuable resources for researchers to use in their public engagement activities. Finally, we discuss some of the issues encountered when researchers collaborate with members of the public and provide practical steps to address them. Case studies of real-life situations are used to illustrate and aid understanding. We hope this article and the other papers in this series will encourage researchers to better consider the role and practice of public engagement and the potential added value to research that collaborating with the public could provide.
DOI: 10.6084/m9.figshare.23946957.v1
title: Series: Public engagement with research. Part 1: The fundamentals of public engagement with research

description: In the first of a four-part series, we describe the fundamentals of public engagement in primary care research. The article’s purpose is to encourage, inform and improve the researcher’s awareness about public engagement in research. For a growing number of researchers, funders and patient organisations in Europe, public engagement is a moral and ethical imperative for conducting high-quality research. Starting with an explanation of the role of public engagement in research, we highlight its diversity and benefits to research, researchers and the public members involved. We summarise principles of good practice and provide valuable resources for researchers to use in their public engagement activities. Finally, we discuss some of the issues encountered when researchers collaborate with members of the public and provide practical steps to address them. Case studies of real-life situations are used to illustrate and aid understanding. We hope this article and the other papers in this series will encourage researchers to better consider the role and practice of public engagement and the potential added value to research that collaborating with the public could provide.
DOI: 10.6073/pasta/dae9eb0fc1bc761cdb9b3d9fea51891c
title: Physical and Chemical Characteristics of Soil Sediments from the Shark River Slough and Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, August 2004 - ongoing

description: These data represent the results of soil sampling and analysis from all 17 FCE LTER transect locations during from Year 2004 thru Year 2017. Surface soils from 0-10 cm been homogenized and analyzed from Sawgrass and mangrove sites and Florida Bay sites. Soils and sediments were analyzed for a suite of physical/chemical variables, including bulk density, organic matter content, extractable iron, AVS and CRS sulfur, and various forms of extractable phosphorus. These analyses are completed to document the differences in soil structure among transect sites, and to provide a baseline dataset against which long-term changes in the physical/chemical properties of the soils can be detected.
DOI: 10.6084/m9.figshare.23792607
title: A meta-analysis of hairy vetch as a previous cover crop for maize

description: This dataset contains the result of extracting data of maize yield and hairy vetch biomass from 23 papers around the globe. This dataset is relevant to i) quantify maize yield response with hairy vetch as previous crop, ii) assess hairy vetch influence on the yield of fertilized and non-N fertilized maize, and iii) explore the impact of tillage and environment factors on maize yield response to hairy vetch.<br>For more information related to this dataset or codes, please contact the corresponding author at: rodriguez.mariapia@inta.gob.ar<br>For cite the dataset, please use:Rodriguez, M.P., Vargas, J., Correndo, A., Carcedo, A., Carciochi, W., Sainz Rozas, H., Barbieri, P., Ciampitti, I. 2023. A meta-analysis of hairy vetch as a previous cover crop for maize. figshare https://doi.org/10.6084/m9.figshare.23792607
DOI: 10.34740/kaggle/dsv/6302190
title: CPS Workforce Diversity 2018-2023
DOI: 10.5281/zenodo.7629719
title: Single-cell and spatial transcriptomics of cardiac neural crest reveal a dual role of vinculin in Tgf beta signaling and cell-extracellular matrix interaction during cardiac outflow tract development

description: single-cell RNA-seq data analysis: all.cncc.combined.EMBO.mapped.Rdata: public CNCC single-cell RNA-seq data integration E13.5_CNCC_merged_updated.Rdata: single-cell RNA-seq data of E13.5 CNCC generated in Elly lab all.seurat.GFP.Rdata: scRNA-seq data with GFP detected visium.merge_AB.control.Rdata: R processed ST data for slice A and B visium.merge_CD.mutant.Rdata: R processed ST data for slice A and B
DOI: 10.5281/zenodo.7470701
title: Single-cell and spatial transcriptomics of cardiac neural crest reveal a dual role of vinculin in Tgf beta signaling and cell-extracellular matrix interaction during cardiac outflow tract development

description: single-cell RNA-seq data analysis: all.cncc.combined.EMBO.mapped.Rdata: public CNCC single-cell RNA-seq data integration E13.5_CNCC_merged_updated.Rdata: single-cell RNA-seq data of E13.5 CNCC generated in Elly lab all.seurat.GFP.Rdata: scRNA-seq data with GFP detected visium.merge_AB.control.Rdata: R processed ST data for slice A and B visium.merge_CD.mutant.Rdata: R processed ST data for slice A and B
DOI: 10.5517/cc10dpps
title: CCDC 935725: Experimental Crystal Structure Determination

description: Related Article: P.A.Slepukhin, S.G.Tolschina, R.I.Ishnetova|2018|CSD Communication|||
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.cc26mykc
title: CCDC 2044963: Experimental Crystal Structure Determination

description: Related Article: Lev E. Zelenkov, Anastasiya A. Eliseeva, Sergey V. Baykov, Vitalii V. Suslonov, Bartomeu Galmés, Antonio Frontera, Vadim Yu. Kukushkin, Daniil M. Ivanov, Nadezhda A. Bokach|2021|Inorg.Chem.Front.|8|2505|doi:10.1039/D1QI00314C
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.cc2gmptm
title: CCDC 2283051: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Caroline Lau, Matthias Tamm|2023|CSD Communication|||
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.cc2gmpvn
title: CCDC 2283052: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Caroline Lau, Matthias Tamm|2023|CSD Communication|||
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.cc2gmpwp
title: CCDC 2283053: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Caroline Lau, Matthias Tamm|2023|CSD Communication|||
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.cc2gmpxq
title: CCDC 2283054: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Caroline Lau, Matthias Tamm|2023|CSD Communication|||
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.cc2gmpyr
title: CCDC 2283055: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Caroline Lau, Matthias Tamm|2023|CSD Communication|||
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.cc2gmqvp
title: CCDC 2283083: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
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.cc2gmqys
title: CCDC 2283086: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2023|CSD Communication|||
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.