cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8319313
title: Named Entity Recognition in the Regesta of Emperor Frederick III. of the Holy Roman Empire

description: This dataset contains Named Entity Recognition and Entity Linking across 8883 Regesta of Emperor Frederick III. of the Holy Roman Empire. The Regesta are from the Regesta Imperii Edition project: http://www.regesta-imperii.de/en/the-project.html. There are 4554 different names normalized to 2849 distinct entities, identified by the index entry identifier of the yet to be fully published index of the Regesta of Frederick III. All in all, 17258 instances of names are identified. <strong>Not all named entities are identified!</strong> This dataset is intended as a step stone for recording already identified entities and training NER classifiers for the Regesta Imperii. Some named entities were deliberately omitted. Only those that could be identified with reasonable certainty via the index were included, for example: "Mgf. Albrecht von Brandenburg" is included, while "Albrecht", even when refering to the same entity as the former name, is not. Even of this subset, some entities may have been missed. A newer version may rectify that in the future. The JSONL format is modeled after the Doccano format for entity linking.
DOI: 10.6084/m9.figshare.23850669
title: Supplementary Material for: A common genetic factor underlies genetic risk for gynaecological and reproductive disorders and is correlated with risk to depression

description: Introduction Sex steroid hormone fluctuations may underlie both reproductive disorders and sex difference in lifetime depression prevalence. Previous studies report high comorbidity among reproductive disorders and between reproductive disorders and depression. This study sought to assess the multivariate genetic architecture of reproductive disorders and their loading onto a common genetic factor, and investigated whether this latent factor shares a common genetic architecture with female depression, including perinatal depression (PND). Method Using UK Biobank and FinnGen data, genome-wide association meta-analyses were conducted for nine reproductive disorders, and genetic correlation between disorders estimated. Genomic Structural Equation Modelling identified a latent genetic factor underlying disorders, accounting for their significant genetic correlations. SNPs significantly associated with both latent factor and depression were identified. Results Excellent model fit existed between a latent factor underlying five reproductive disorders (2 (5)=6.4; AIC=26.4; CFI=1.00; SRMR=0.03) with high standardised loadings for menorrhagia (0.96, SE=0.05); ovarian cysts (0.94, SE=0.05); endometriosis (0.83, SE=0.05); menopausal symptoms (0.77, SE=0.10); and uterine fibroids (0.65, SE=0.05). This latent factor was genetically correlated with perinatal depression (PND) (rG = 0.37, SE=0.15, P=1.4e-03), depression in females only (rG=0.48, SE=0.06, P=7.2e-11) and depression in both males and females (MD) (rG=0.35, SE=0.03, P=1.8e-30), with its top locus associated with FSHB/ARL14EP (rs11031006; P=9.1e-33). SNPs intronic to ESR1, significantly associated with the latent factor, were also associated with PND, female depression, and MD. Discussion/Conclusion A common genetic factor, correlated with depression, underlies risk to reproductive disorders, with implications for etiology and treatment. Genetic variation in ESR1 is associated with reproductive disorders and depression, highlighting the importance of estrogen signalling to both reproductive and mental health.
DOI: 10.6084/m9.figshare.23850669.v1
title: Supplementary Material for: A common genetic factor underlies genetic risk for gynaecological and reproductive disorders and is correlated with risk to depression

description: Introduction Sex steroid hormone fluctuations may underlie both reproductive disorders and sex difference in lifetime depression prevalence. Previous studies report high comorbidity among reproductive disorders and between reproductive disorders and depression. This study sought to assess the multivariate genetic architecture of reproductive disorders and their loading onto a common genetic factor, and investigated whether this latent factor shares a common genetic architecture with female depression, including perinatal depression (PND). Method Using UK Biobank and FinnGen data, genome-wide association meta-analyses were conducted for nine reproductive disorders, and genetic correlation between disorders estimated. Genomic Structural Equation Modelling identified a latent genetic factor underlying disorders, accounting for their significant genetic correlations. SNPs significantly associated with both latent factor and depression were identified. Results Excellent model fit existed between a latent factor underlying five reproductive disorders (2 (5)=6.4; AIC=26.4; CFI=1.00; SRMR=0.03) with high standardised loadings for menorrhagia (0.96, SE=0.05); ovarian cysts (0.94, SE=0.05); endometriosis (0.83, SE=0.05); menopausal symptoms (0.77, SE=0.10); and uterine fibroids (0.65, SE=0.05). This latent factor was genetically correlated with perinatal depression (PND) (rG = 0.37, SE=0.15, P=1.4e-03), depression in females only (rG=0.48, SE=0.06, P=7.2e-11) and depression in both males and females (MD) (rG=0.35, SE=0.03, P=1.8e-30), with its top locus associated with FSHB/ARL14EP (rs11031006; P=9.1e-33). SNPs intronic to ESR1, significantly associated with the latent factor, were also associated with PND, female depression, and MD. Discussion/Conclusion A common genetic factor, correlated with depression, underlies risk to reproductive disorders, with implications for etiology and treatment. Genetic variation in ESR1 is associated with reproductive disorders and depression, highlighting the importance of estrogen signalling to both reproductive and mental health.
DOI: 10.6084/m9.figshare.23904918.v1
title: Supplementary Material for: How could different obesity scenarios alter the burden of type 2 diabetes and liver disease in Saudi Arabia?

description: Introduction Obesity is a major risk factor for type 2 diabetes (T2DM) and liver disease, and obesity-attributable liver disease is a common indication for liver transplant. Obesity prevalence in Saudi Arabia (SA) has increased in recent decades. SA has committed to the WHO ‘halt obesity’ target to shift prevalence to 2010 levels by 2025. We estimated the future benefits of reducing obesity in SA on incidence and costs of T2DM and liver disease under two policy scenarios: 1) SA meets the ‘halt obesity’ target; 2) population body mass index (BMI) is reduced by 1% annually from 2020 to 2040. Methods We developed a dynamic microsimulation of working-age people (20-59 years) in SA between 2010 and 2040. Model inputs included population demographic, disease and healthcare cost data, and relative risks of diseases associated with obesity. In our two policy scenarios, we manipulated population BMI and compared predicted disease incidence and associated healthcare costs to a baseline ‘no change’ scenario. Results Adults &lt;35 years are expected to meet the ‘halt obesity’ target, but those ≥35 years are not. Obesity is set to decline for females, but to increase amongst males 35-59 years. If SA’s working-age population achieved either scenario, &gt;1.15 million combined cases of T2DM, liver disease and liver cancer could be avoided by 2040. Healthcare cost savings for the ‘halt obesity’ and 1% reduction scenarios are 46.7 and 32.8 billion USD, respectively. Discussion/Conclusion SA’s younger working-age population is set to meet the ‘halt obesity’ target, but those aged 35-59 are off-track. Even a modest annual 1% BMI reduction could result in substantial future health and economic benefits. Our findings strongly support universal initiatives to reduce population-level obesity, with targeted initiatives for working-age people ≥35 years of age.
DOI: 10.25790/bml0cm.144
title: TractMeasures.txt
DOI: 10.5517/ccdc.csd.cc2g43nd
title: CCDC 2268073: Experimental Crystal Structure Determination

description: Related Article: Yinyin Feng, Guanghao Shi, Liwei Xiang, Wangcheng Hu, Xinwei He, Yongjia Shang|2023|Tetrahedron|144|133584|doi:10.1016/j.tet.2023.133584
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.23884986.v1
title: Supplementary Material for: Cardiac troponin T and NT-proBNP for prediction of 30-day readmission or death in patients with acute dyspnea: Data from the Akershus Cardiac Examination 2 Study

description: Introduction: N-terminal pro-B-type natriuretic peptide (NT-proBNP) and cardiac troponin T (cTnT) measurements are recommended in patients with acute dyspnea. We aimed to assess the prognostic merit of cTnT compared to NT-proBNP for 30-day readmission or death in patients hospitalized with acute dyspnea. Methods: We measured cTnT and NT-proBNP within 24 hours in 314 patients hospitalized with acute dyspnea and adjudicated the cause of the index admission. Time to first event of readmission or death ≤30 days after hospital discharge was recorded and cTnT and NT-proBNP measurements were compared head-to-head. Results: Five patients died during the index admission and were excluded from the study. Patients who died (7/309) or were readmitted (71/309) within 30 days had higher cTnT concentrations (median 29.1, Q1-Q3 18.2-73.9 ng/L) compared to patient who survived and were not readmitted (median 19.4, Q1-Q3 8.4-36.1 ng/L; p &lt;0.001). There were no statistically significant differences in NT proBNP concentrations when stratifying patients according to readmission or death within 30 days: median 1540.6, Q1-Q3 424-5571 ng/L vs. median 984, Q1-Q3 201-3600 (p = 0.07). cTnT concentrations separated patients with poor and favorable outcomes, both for the total cohort and for patients with adjudicated heart failure (HF). cTnT concentrations were associated with readmission or death within 30 days after discharge, both in the total cohort (adjusted hazard ratio [aHR] 1.65, 95% CI 1.30-2.08) and in patients with HF (aHR 1.60, 95% CI 1.15-2.24). In contrast, NT-proBNP concentrations were not associated with prognosis in the total cohort (aHR 1.11, 95% CI 0.94-1.31) or in patients with adjudicated HF (aHR 1.03, 95% CI 0.78-1.37). In the subgroup analysis of HF patients, where patients with acute HF were grouped according to LVEF (HFpEF and HFrEF), cTnT and NT proBNP did not predict short-term outcomes for HFrEF, but cTnT predicted short-term outcomes in HFpEF patients. Conclusions: cTnT concentrations associate with post-discharge 30-day readmission or death in patients hospitalized with acute dyspnea, as well as in in patients adjudicated HF. The association of cTnT with outcomes in HF appears driven by strong associations of cTnT in patients with HFpEF.
DOI: 10.25790/bml0cm.145
title: BrainMeasures.txt
DOI: 10.6084/m9.figshare.24081438.v18
title: lunar_surface_chemistry_maps

description: The data files depict the Mg# values and the abundances of SiO2, TiO2, Al2O3, FeO, MgO and CaO observed by the KAGUYA multiband imager. The data files are in the format of .tif and can be opend by the software ArcGIS.
DOI: 10.6084/m9.figshare.23884830.v1
title: Supplementary Material for: Systolic blood pressure and the risk of kidney replacement therapy and mortality in patients with chronic kidney disease stage 4-5

description: Introduction In patients with chronic kidney disease stage 4 and 5 (CKD stages 4-5) without dialysis and arterial hypertension, it is unknown if the values of systolic blood pressure (SBP) considered in control &lt;120 mmHg are associated with kidney replacement therapy (KRT) and mortality. Methods In this retrospective cohort study, hypertensive CKD stages 4-5 patients attending the Renal Health Clinic at the Hospital Civil de Guadalajara were enrolled. We divided them into those that achieved SBP &lt; 120 mmHg (controlled group) and those who did not (&gt;120 mmHg), the uncontrolled group. Our primary objective was to analyze the association between the controlled group and KRT; the secondary objective was the mortality risk, and if there were subgroups of patients that achieved more benefit. Data were analyzed using Stata software, version. 15.1. Results During 2017 to 2022 a total 275 hypertensive CKD stages 4-5 patients met the inclusion criteria for the analysis, 62 in the controlled group and 213 in the uncontrolled group; mean age 61 years, 49.82% were male, SBP was significantly lower in the controlled group (111 mmHg) compared to the uncontrolled group (140 mmHg), eGFR was similar between groups (20.41 ml/min/1.73m2). There was a tendency to increase the mortality risk in the uncontrolled group (HR 6.47 [0.78-53.27]; p= 0.082) and an association by the Kaplan-Meir analysis (Log-rank p= 0.043). The subgroup analysis for risk of KRT in the controlled group revealed that patients ≥ 61 years had a lower risk of KRT (HR 0.87 [95% CI, 0-76-0.99]; p=0.03, p of interaction = 0.005), but no differences were found in the subgroup analysis for mortality. In a follow-up of 1.34 years, no association was found in the risk of KRT according to the controlled or uncontrolled groups in a multivariate Cox analysis. Conclusion In a retrospective cohort of patients with CKD stages 4-5 and hypertension, SBP &gt;120 mmHg was not associated with risk of KRT but could be associated with the risk of death. Clinical trials are required in this group of patients to demonstrate the impact of reaching the SBP goals recommended by the KDIGO guidelines.
DOI: 10.5281/zenodo.8302142
title: Illuminating the mechanism and allosteric behavior of NanoLuc luciferase

description: NanoLuc, a superior β-barrel fold luciferase, was engineered 10 years ago but the nature of its catalysis<br> remains puzzling. Here experimental and computational techniques were combined, revealing that<br> imidazopyrazinone luciferins bind to an intra-barrel catalytic site but also to an allosteric site shaped on<br> the enzyme surface. Binding to the allosteric site prevents simultaneous binding to the catalytic site, and<br> vice versa, through concerted conformational changes. We demonstrate that restructuration of the<br> allosteric site can boost the luminescent reaction in the remote active site. Mechanistically, an intra-barrel<br> arginine coordinates the imidazopyrazinone component of luciferin which then react with O 2 via a radical<br> charge-transfer mechanism, and it also protonates the resulting excited amide product to form a light-<br> emitting neutral species. Concomitantly, an aspartate, supported by two tyrosines, is fine-tuning the blue<br> color emitter to secure a high emission intensity. This information is critical to engineering the next-<br> generation of ultrasensitive bioluminescent reporters.
DOI: 10.5281/zenodo.8302143
title: Illuminating the mechanism and allosteric behavior of NanoLuc luciferase

description: NanoLuc, a superior β-barrel fold luciferase, was engineered 10 years ago but the nature of its catalysis<br> remains puzzling. Here experimental and computational techniques were combined, revealing that<br> imidazopyrazinone luciferins bind to an intra-barrel catalytic site but also to an allosteric site shaped on<br> the enzyme surface. Binding to the allosteric site prevents simultaneous binding to the catalytic site, and<br> vice versa, through concerted conformational changes. We demonstrate that restructuration of the<br> allosteric site can boost the luminescent reaction in the remote active site. Mechanistically, an intra-barrel<br> arginine coordinates the imidazopyrazinone component of luciferin which then react with O 2 via a radical<br> charge-transfer mechanism, and it also protonates the resulting excited amide product to form a light-<br> emitting neutral species. Concomitantly, an aspartate, supported by two tyrosines, is fine-tuning the blue<br> color emitter to secure a high emission intensity. This information is critical to engineering the next-<br> generation of ultrasensitive bioluminescent reporters.
DOI: 10.6084/m9.figshare.24081438.v19
title: lunar_surface_chemistry_maps

description: The data files depict the Mg# values and the abundances of SiO2, TiO2, Al2O3, FeO, MgO and CaO observed by the KAGUYA multiband imager. The data files are in the format of .tif and can be opend by the software ArcGIS.
DOI: 10.15454/t090gw/hv492g
title: PGD_UEFP_v1.pdf

description: PGD UNFP Version 1.0 19 06 2021
DOI: 10.57745/mcdh4l
title: PGD_UEFP_V2_20230901.pdf

description: PGD UEFP Version 2.0
DOI: 10.25592/uhhfdm.13222
title: Appendix: Clustering and Derivation of Design Principles

description: The material provided presents the raw data of the user study. Based on the comments raised, we identified the underlying concepts and clustered to gain requirements. Those are build up to design principles according to the process proposed by Gregor et al. (2020) and by Purao et al. (2020).
description: {"references": ["Gregor, S., Kruse, L. C., and Seidel, S. 2020. \"Research Perspectives: The Anatomy of a Design Principle,\" Journal of the Association for Information Systems (21:6). (https://doi.org/10.17705/1jais.00649).", "Purao, S., Kruse, L. C., and Maedche, A. 2020. \"The Origins of Design Principles: Where Do\u2026 They All Come From?,\" in Designing for Digital Transformation. Co-Creating Services with Citizens and Industry, S. Hofmann, O. M\u00fcller, and M. Rossi (eds.), pp. 183\u2013194. (https://doi.org/10.1007/978-3-030-64823-7_17)."]}
DOI: 10.25592/uhhfdm.13221
title: Appendix: Clustering and Derivation of Design Principles

description: The material provided presents the raw data of the user study. Based on the comments raised, we identified the underlying concepts and clustered to gain requirements. Those are build up to design principles according to the process proposed by Gregor et al. (2020) and by Purao et al. (2020).
description: {"references": ["Gregor, S., Kruse, L. C., and Seidel, S. 2020. \"Research Perspectives: The Anatomy of a Design Principle,\" Journal of the Association for Information Systems (21:6). (https://doi.org/10.17705/1jais.00649).", "Purao, S., Kruse, L. C., and Maedche, A. 2020. \"The Origins of Design Principles: Where Do\u2026 They All Come From?,\" in Designing for Digital Transformation. Co-Creating Services with Citizens and Industry, S. Hofmann, O. M\u00fcller, and M. Rossi (eds.), pp. 183\u2013194. (https://doi.org/10.1007/978-3-030-64823-7_17)."]}
DOI: 10.5517/ccdc.csd.cc277qbk
title: CCDC 2062998: Experimental Crystal Structure Determination

description: Related Article: Xiaofeng Zhang, Weiqi Qiu, Stephanie A. Murray, Desheng Zhan, Jason Evans, Jerry P. Jasinski, Xiao Wang, Wei Zhang|2021|J.Org.Chem.|86|17395|doi:10.1021/acs.joc.1c01797
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.cc2bhjbq
title: CCDC 2159873: Experimental Crystal Structure Determination

description: Related Article: Zhenyu Wang, Jiaxin Hu, Wei Liu, Chao Chen|2023|Tetrahedron Lett.|127|154670|doi:10.1016/j.tetlet.2023.154670
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.cc2f7my8
title: CCDC 2241670: Experimental Crystal Structure Determination

description: Related Article: Rong Feng, Lang Huang, Da-Bin Qin, Fang Zhou, Zhi-Bing Dong|2023|Tetrahedron Lett.|127|154694|doi:10.1016/j.tetlet.2023.154694
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.cc2fn45f
title: CCDC 2253674: Experimental Crystal Structure Determination

description: Related Article: Zhenyu Wang, Jiaxin Hu, Wei Liu, Chao Chen|2023|Tetrahedron Lett.|127|154670|doi:10.1016/j.tetlet.2023.154670
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.cc2frgm9
title: CCDC 2256881: Experimental Crystal Structure Determination

description: Related Article: Rong Feng, Lang Huang, Da-Bin Qin, Fang Zhou, Zhi-Bing Dong|2023|Tetrahedron Lett.|127|154694|doi:10.1016/j.tetlet.2023.154694
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.cc2frgl8
title: CCDC 2256880: Experimental Crystal Structure Determination

description: Related Article: Rong Feng, Lang Huang, Da-Bin Qin, Fang Zhou, Zhi-Bing Dong|2023|Tetrahedron Lett.|127|154694|doi:10.1016/j.tetlet.2023.154694
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.cc2fxy1c
title: CCDC 2262133: Experimental Crystal Structure Determination

description: Related Article: Boris-Marko Kukovec, Ivana Škugor Rončević, Nives Vladislavić, Nabanita Chatterjee, Vesna Sokol, Clive L. Oliver|2023|New J.Chem.|47|15701|doi:10.1039/D3NJ02486E
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.cc2fxygs
title: CCDC 2262146: Experimental Crystal Structure Determination

description: Related Article: Yu Wu, Fangfang Xia, Congzhu Li, Madhav Raj Jayswal, Om Prakash, Mohd. Muddassir|2023|Inorg.Chim.Acta|558|121723|doi:10.1016/j.ica.2023.121723
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.