cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23531639
title: Model segregation output from Agent-based models of the cultural evolution of occupational gender roles

description: The causes of sex differences in human behaviour are contested, with ‘evolutionary’ and ‘social’ explanations often being pitted against each other in the literature. Recent work showing positive correlations between indices of gender equality and the size of sex differences in behaviour has been argued to show support for ‘evolutionary’ over ‘social’ approaches. This argument, however, neglects the potential for social learning to generate arbitrary gender segregation. In the current paper we simulate, using agent-based models, a population where agents exist as one of two ‘types’ and can use social information about which types of agents are performing which ‘roles’ within their environment. We find that agents self-segregate into different roles even where real differences in performance do not exist, if there is a common belief (modelled as priors) that group differences may exist in ‘innate’ competence. Facilitating role changes such that agents should move without cost to the predicted highest-rewards for their skills (i.e. fluidity of the labour market) reduced segregation, while forcing extended exploration of different roles eradicated gender segregation. These models are interpreted in terms of bio-cultural evolution, and the impact of social learning on the expression of gender roles.
DOI: 10.6084/m9.figshare.23531639.v1
title: Model segregation output from Agent-based models of the cultural evolution of occupational gender roles

description: The causes of sex differences in human behaviour are contested, with ‘evolutionary’ and ‘social’ explanations often being pitted against each other in the literature. Recent work showing positive correlations between indices of gender equality and the size of sex differences in behaviour has been argued to show support for ‘evolutionary’ over ‘social’ approaches. This argument, however, neglects the potential for social learning to generate arbitrary gender segregation. In the current paper we simulate, using agent-based models, a population where agents exist as one of two ‘types’ and can use social information about which types of agents are performing which ‘roles’ within their environment. We find that agents self-segregate into different roles even where real differences in performance do not exist, if there is a common belief (modelled as priors) that group differences may exist in ‘innate’ competence. Facilitating role changes such that agents should move without cost to the predicted highest-rewards for their skills (i.e. fluidity of the labour market) reduced segregation, while forcing extended exploration of different roles eradicated gender segregation. These models are interpreted in terms of bio-cultural evolution, and the impact of social learning on the expression of gender roles.
DOI: 10.6084/m9.figshare.23531642
title: Model output visualisation from Agent-based models of the cultural evolution of occupational gender roles

description: Output of visualisation and analysis code
DOI: 10.6084/m9.figshare.23531642.v1
title: Model output visualisation from Agent-based models of the cultural evolution of occupational gender roles

description: Output of visualisation and analysis code
DOI: 10.17909/rgg7-zk46
title: 2MASSJ04202144+2813491 JWST

description: JWST NIRCam and MIRI imaging of 2MASSJ04202144+2813491 JWST
DOI: 10.17909/5dhq-0v12
title: 2MASSJ04202144+2813491 HST

description: HST/ACS F606W and F814W imaging of 2MASSJ04202144+2813491 HST
DOI: 10.5281/zenodo.7981220
title: DAS Urban Mobility Pattern Database

description: This database is based on the MINIDAS format designed by the Incorporated Research Institutions for Seismology (IRIS) with the objective of storing information captured by distributed acoustic systems. These files correspond to the hdf5 type, which facilitates their reading. In this same dataset you can find the official script to work with this kind of data (for more information see official repository, https://github.com/DAS-RCN/RCN_DASformat).
DOI: 10.5281/zenodo.7981300
title: DAS Urban Mobility Pattern Database

description: This database is based on the MINIDAS format designed by the Incorporated Research Institutions for Seismology (IRIS) with the objective of storing information captured by distributed acoustic systems. These files correspond to the hdf5 type, which facilitates their reading. In this same dataset you can find the official script to work with this kind of data (for more information see official repository, https://github.com/DAS-RCN/RCN_DASformat).
DOI: 10.5281/zenodo.8013069
title: DAS Urban Mobility Pattern Database

description: This database is based on the MINIDAS format designed by the Incorporated Research Institutions for Seismology (IRIS) with the objective of storing information captured by distributed acoustic systems. These files correspond to the hdf5 type, which facilitates their reading. In this same dataset you can find the official script to work with this kind of data (for more information see official repository, https://github.com/DAS-RCN/RCN_DASformat).
DOI: 10.5517/ccdc.csd.cc2dph9x
title: CCDC 2225189: Experimental Crystal Structure Determination

description: Related Article: Roman Kleinmans, Subhabrata Dutta, Kristers Ozols, Huiling Shao, Felix Schäfer, Rebecca E. Thielemann, Hok Tsun Chan, Constantin G. Daniliuc, Kendall N. Houk, Frank Glorius|2023|J.Am.Chem.Soc.|145|12324|doi:10.1021/jacs.3c02961
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.cc2dphby
title: CCDC 2225190: Experimental Crystal Structure Determination

description: Related Article: Roman Kleinmans, Subhabrata Dutta, Kristers Ozols, Huiling Shao, Felix Schäfer, Rebecca E. Thielemann, Hok Tsun Chan, Constantin G. Daniliuc, Kendall N. Houk, Frank Glorius|2023|J.Am.Chem.Soc.|145|12324|doi:10.1021/jacs.3c02961
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.cc2dphcz
title: CCDC 2225191: Experimental Crystal Structure Determination

description: Related Article: Roman Kleinmans, Subhabrata Dutta, Kristers Ozols, Huiling Shao, Felix Schäfer, Rebecca E. Thielemann, Hok Tsun Chan, Constantin G. Daniliuc, Kendall N. Houk, Frank Glorius|2023|J.Am.Chem.Soc.|145|12324|doi:10.1021/jacs.3c02961
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.cc2dphd0
title: CCDC 2225192: Experimental Crystal Structure Determination

description: Related Article: Roman Kleinmans, Subhabrata Dutta, Kristers Ozols, Huiling Shao, Felix Schäfer, Rebecca E. Thielemann, Hok Tsun Chan, Constantin G. Daniliuc, Kendall N. Houk, Frank Glorius|2023|J.Am.Chem.Soc.|145|12324|doi:10.1021/jacs.3c02961
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.cc2dphf1
title: CCDC 2225193: Experimental Crystal Structure Determination

description: Related Article: Roman Kleinmans, Subhabrata Dutta, Kristers Ozols, Huiling Shao, Felix Schäfer, Rebecca E. Thielemann, Hok Tsun Chan, Constantin G. Daniliuc, Kendall N. Houk, Frank Glorius|2023|J.Am.Chem.Soc.|145|12324|doi:10.1021/jacs.3c02961
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.cc2dphg2
title: CCDC 2225194: Experimental Crystal Structure Determination

description: Related Article: Roman Kleinmans, Subhabrata Dutta, Kristers Ozols, Huiling Shao, Felix Schäfer, Rebecca E. Thielemann, Hok Tsun Chan, Constantin G. Daniliuc, Kendall N. Houk, Frank Glorius|2023|J.Am.Chem.Soc.|145|12324|doi:10.1021/jacs.3c02961
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.cc2dphh3
title: CCDC 2225195: Experimental Crystal Structure Determination

description: Related Article: Roman Kleinmans, Subhabrata Dutta, Kristers Ozols, Huiling Shao, Felix Schäfer, Rebecca E. Thielemann, Hok Tsun Chan, Constantin G. Daniliuc, Kendall N. Houk, Frank Glorius|2023|J.Am.Chem.Soc.|145|12324|doi:10.1021/jacs.3c02961
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.cc2dphj4
title: CCDC 2225196: Experimental Crystal Structure Determination

description: Related Article: Roman Kleinmans, Subhabrata Dutta, Kristers Ozols, Huiling Shao, Felix Schäfer, Rebecca E. Thielemann, Hok Tsun Chan, Constantin G. Daniliuc, Kendall N. Houk, Frank Glorius|2023|J.Am.Chem.Soc.|145|12324|doi:10.1021/jacs.3c02961
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.cc2f0t2c
title: CCDC 2235102: Experimental Crystal Structure Determination

description: Related Article: Zhi Kai Guo, Yong Chao Wang, Ying Zi Tan, Ailiman Abulaizi, Zi Jun Xiong, Shi Qing Zhang, Yang Yang, La Ying Yang, Jing Shi|2023|Org.Lett.|25|4203|doi:10.1021/acs.orglett.3c01539
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.cc2f3j7b
title: CCDC 2237711: Experimental Crystal Structure Determination

description: Related Article: Ashoke Kumar Patra, Soumya Srimayee, Dibakar Halder, Anik Roy, Souvik Mukherjee, Somenath Kundu, Maidul Hossain, Rajat Saha, Chang-Hee Lee, Debasis Manna, Indrajit Saha|2023|Chem.Commun.|59|7407|doi:10.1039/D3CC02032K
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.23531645
title: Raw data of the simulation results from The effect of stent graft curvature on the hemodynamic displacement force after abdominal aortic aneurysm endovascular repair

description: Endovascular aortic aneurysm repair (EVAR) is a minimally invasive procedure with low mortality and morbidity. Clinical studies have revealed that a displacement force (DF) can cause stent graft (SG) migration in some circumstances requiring repeated intervention. This study aims to determine the relationship between the SG curvature and the calculated DF from four patient-specific computational fluid dynamics models. The SG's curvature was defined according to the centrelines of the implanted SG's branches. The centrelines were defined as either intersecting or separated lines. The centreline curvature (CLC) metrics were calculated based on the local curvature radii and the distances from the centrelines of idealized straight branches. The average CLC value and average variation were calculated to represent the entire graft's curvature. These CLC calculations were compared, and the method that gave the best correlation to the calculated DF was found. The optimal correlation is obtained from calculating the CLC average variation using separated centrelines and distance from straight lines, with an <i>R</i><sup>2 </sup>= 0.89. Understanding the relationship between vascular morphology and DF can help identify at-risk patients before the procedure. In these cases, we can provide appropriate treatment and follow up with the patient to prevent future failure.
DOI: 10.6084/m9.figshare.23531645.v1
title: Raw data of the simulation results from The effect of stent graft curvature on the hemodynamic displacement force after abdominal aortic aneurysm endovascular repair

description: Endovascular aortic aneurysm repair (EVAR) is a minimally invasive procedure with low mortality and morbidity. Clinical studies have revealed that a displacement force (DF) can cause stent graft (SG) migration in some circumstances requiring repeated intervention. This study aims to determine the relationship between the SG curvature and the calculated DF from four patient-specific computational fluid dynamics models. The SG's curvature was defined according to the centrelines of the implanted SG's branches. The centrelines were defined as either intersecting or separated lines. The centreline curvature (CLC) metrics were calculated based on the local curvature radii and the distances from the centrelines of idealized straight branches. The average CLC value and average variation were calculated to represent the entire graft's curvature. These CLC calculations were compared, and the method that gave the best correlation to the calculated DF was found. The optimal correlation is obtained from calculating the CLC average variation using separated centrelines and distance from straight lines, with an <i>R</i><sup>2 </sup>= 0.89. Understanding the relationship between vascular morphology and DF can help identify at-risk patients before the procedure. In these cases, we can provide appropriate treatment and follow up with the patient to prevent future failure.
DOI: 10.5519/qd.izae3qlr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.25345/c5q23r95d
title: MassIVE MSV000092188 - The proteome of plasma extracellular vesicles reveals markers of cancer and doxorubicin sensitivity in sarcoma patients
title: Proteomics performed on plasma extracellular vesicles isolated using vn96 before and after doxorubicin treatment. Plasma from 10 healthy volunteers is also included.
DOI: 10.6084/m9.figshare.22664647
title: Supplementary Material for: Regulation of macrophage cell surface GAPDH alters LL-37 internalization and downstream effects in the cell

description: Mycobacterium tuberculosis (M.tb), the major causative agent of tuberculosis (TB), has evolved mechanisms to evade host defenses and persist within host cells. Host directed therapies (HDTs) against infected cells are emerging as an effective option. Cationic host defense peptide LL-37 is known to internalize into cells and induce autophagy resulting in intracellular killing of M.tb. This peptide also regulates the immune system and interacts with the multifunctional protein Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), inside macrophages. Our investigations revealed that GAPDH moonlights as a mononuclear cell surface receptor that internalizes LL-37. We confirmed that the surface levels of P2X7, the receptor previously reported for this peptide remained unaltered on M.tb infected macrophages. Upon infection or cellular activation with IFNγ, surface recruited GAPDH bound to and internalized LL-37 into endocytic compartments via a lipid raft dependent process. We also discovered a role for GAPDH in LL-37 mediated autophagy induction and clearance of intracellular pathogen. In infected macrophages wherein GAPDH had been knocked down, we observed an inhibition of LL-37 mediated autophagy which was rescued by GAPDH over expression. This process was dependent on intracellular calcium and P38 MAPK pathways. Our findings reveal a previously unknown process by which macrophages internalize an antimicrobial peptide via cell surface GAPDH and suggests a moonlighting role of GAPDH in regulating cellular phenotypic responses of LL-37 resulting in reduction of M.tb burden.
DOI: 10.6084/m9.figshare.23211707
title: Supplementary Material for: High renal mast cell density is associated with poor prognosis in patients with IgA Nephropathy

description: Introduction: This observational cohort study evaluated the prognostic value of mast cells in the pathogenesis and progression of IgA nephropathy. Methods: A total of 76 adult IgAN patients were enrolled into this study from Jan 2007 and June 2010. Immunohistochemistry and immunofluorescence were used to identify Tryptase positive mast cells in renal biopsy samples. Patients were classified into Tryptasehigh and Tryptaselow groups. Depending on an average of 96-month follow-up, the predictive value of Tryptase positive mast cells in IgAN progression was analysed. Results: Tryptase positive mast cells were found frequently in IgAN kidneys while rarely observed in normal kidneys. We also found IgAN patients in Tryptasehigh group presented both severe clinical and pathological renal manifestations. Furthermore, Tryptasehigh group contained more interstitial macrophages and lymphocytes infiltration than Tryptaselow group. Higher Tryptase positive cells density is associated with poor prognosis in patients with IgAN. Conclusions: High renal mast cells density is associated with severe renal lesions and poor prognosis in patients with Immunoglobulin A nephropathy. High renal mast cells density might be used as a predictor of poor prognosis in patients with IgAN.
DOI: 10.57724/jci_20210202_pimetan_uav
title: PIMETAN 1 - Generation of orthomosaics through the use of images obtained from UAV on Deception Island.
DOI: 10.57724/jci_20220209_pimetan_uav
title: PIMETAN 2 - Generation of orthomosaics through the use of images obtained from UAV on Livingston Island.
DOI: 10.15129/2506a2d2-d67c-4be7-a975-60071f675d88
title: Data for: "Integrated Filtration and Washing Modelling: Optimization of Impurity Rejection for Filtration and washing of Active Pharmaceutical Ingredients"

description: Electronic supplementary information of the manuscript. Contents of ESI Folder: This ESI folder contains two sub-folders for the 2 API case studies – Mefenamic Acid and Paracetamol. Each sub-folder contains the following: 1. HPLC data for the different experiments 2. PSD analysis of the raw and isolated samples 3. Case files for a. Simulations for filtration and washing for displacement and diffusion-dispersion b. GSA results on the impurity removal performance 4. Raw excel file results from the GSA case files 5. An excel file summarising the key results and descriptions for the GSA executions
DOI: 10.5281/zenodo.8046531
title: Dataset - Mapping the key drivers of mega-urbanisation in contemporary urban development

description: This dataset includes multiple scales and a long-term perspective in three distinct socio-economic settings, i.e. Germany, Japan and China’s Yangtze River Delta region and visualisations of results on urban development trends over 45 years.
DOI: 10.5281/zenodo.8046532
title: Dataset - Mapping the key drivers of mega-urbanisation in contemporary urban development

description: This dataset includes multiple scales and a long-term perspective in three distinct socio-economic settings, i.e. Germany, Japan and China’s Yangtze River Delta region and visualisations of results on urban development trends over 45 years.
DOI: 10.5281/zenodo.8047232
title: Dataset - Mapping the key drivers of mega-urbanisation in contemporary urban development

description: This dataset includes multiple scales and a long-term perspective in three distinct socio-economic settings, i.e. Germany, Japan and China’s Yangtze River Delta region and visualisations of results on urban development trends over 45 years.
DOI: 10.5281/zenodo.8008831
title: Crystallinity and perfection in ethylene vitrimers probed by combined calorimetry, scattering, and time-domain NMR

description: This Dataset comprises the raw data contained in the figures of our journal article in <em>Frontiers in Soft Matter </em>(DOI: 10.3389/frsfm.2023.1208777)<em>. </em>We provide a preprint of the article for reference to the figures and their captions, necessary to use the data. For copyright details and licensing we refer to the original article and the publisher. Here is the abstract of the article: The kinetics of crystallization and crystal-crystal transformations in ethylene vitrimers are studied by time-domain NMR. These vitrimers previously exhibited polymorphic transition of crystal structures, which are shown here to be distinguishable by NMR via their dipolar line widths based upon different proton densities and fast internal motions. The conditions under which the polymorphs are formed and interconvert are identified via time-resolved NMR experiments, with a focus on recrystallization after full and partial melting. DSC experiments are used to clarify an unexpected superheating effect, which challenges the determination of actual melting points. We further identify a strong memory effect in isothermal (re)crystallization. Implications of the dynamic nature of the vitrimers in relation to the kinetics of crystallization are discussed. We find that internal perfecting of crystals, enabled by the vitrimeric exchange process, can have a large effect on the DSC-detected melting enthalpy without change in overall crystallinity.