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    Santiago – 2024 images

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    ### DOCOMOMO INTERNATIONAL MASS HOUSING ARCHIVE ### The provision of healthy modern housing for all was one of the foremost ideals of the Modern Movement, and inspired a vast wave of planning and building across the world during the 20th century. In the last quarter of the century, even as the foundational programmes of Europe and America lost their impetus, the baton was passed on to other countries, especially in eastern Asia, where the narrative of Modern mass housing was reinvigorated for the next century - a unique example of a key Modernist project that actually continues and thrives today, and which thus forms a principal focus of interest for DOCOMOMO – the leading international organisation promoting the documentation and conservation of buildings, sites and neighbourhoods of the Modern Movement. As heritage, the built legacies of this diverse and multi-generational adventure are almost always too controversial to qualify for conservation strategies. Instead, therefore, recording and inventorisation must dominate the heritage interest in this field. In the recognition of that fact, DOCOMOMO’s International Specialist Committee on Urbanism and Landscape, in partnership with the Scottish Centre for Conservation Studies at the University of Edinburgh, has launched the International Mass Housing Archive, whose aim is to provide an open-access library of images of significant housing projects in each working-group territory, free of copyright restrictions. These files may be copied, edited and shared on condition the appropriate citation is used, as per the terms of the attached Creative Commons Attribution licence. ### Structure ### The International Mass Housing Archive is subdivided under geographical headings corresponding to the constituent working groups of DOCOMOMO, and the individual housing projects are searchable under city and project name. Initially, the Image Archive will be managed and augmented centrally by DOCOMOMO and the SCCS, in partnership with University of Edinburgh Information Services, commencing with pilot city surveys sourced from our own photographic records in the first instance. The archive is related to several existing mass housing documentation initiatives. These include one concerning Britain, namely the online version of the 1994 book, Tower Block: http://towerblock.org/TowerBlock.pd

    How useful is Nanopore adaptive sampling for sequencing Schistosoma mansoni miracidia?

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    Background - Whole-genome sequencing (WGS) is now widely used in helminth genomics. Whilst adult worms typically provide sufficient DNA for molecular analyses, for some helminths of public health significance, such as Schistosoma spp., adult stages are inaccessible in live definitive hosts. Larval stages from these helminths can be collected non-invasively and preserved on Whatman FTA cards, however these samples typically yield low quantities of DNA and have high levels of contamination, particularly when obtained from stool samples. To counteract contamination, multiple washing steps prior to placement onto Whatman FTA cards can be performed, but this is labour-intensive and can limit the number of larvae collected. Methods - Nanopore sequencing technologies includes an "adaptive sampling" feature, which enables selective enrichment or depletion of target DNA sequences during sequencing. In this study, we evaluated the potential of adaptive sampling to selectively enrich S. mansoni DNA from both washed and unwashed larval stage miracidia. We used Kraken2 to characterise sample contamination and assessed sequencing breadth and depth of genome coverage to determine whether adaptive sampling could provide sufficient S. mansoni DNA for WGS. Results and conclusion - Our results demonstrate that washed samples contained a higher proportion of S. mansoni DNA, validating the effectiveness of washing for contamination removal. However, adaptive sampling failed to generate sufficient S. mansoni reads for effective WGS. These findings suggest that, at present, washing remains critical for maximising S. mansoni DNA purity as adaptive sampling alone is insufficient for enrichment. Alternative enrichment strategies will be necessary to improve sequencing efficiency and data quality for S. mansoni WGS

    Raw data for "Low-temperature on-board hydrogen production using a novel hollow fibre-based packed bed reactor"

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    This dataset includes experimental raw data corresponding to the data shown in the linked manuscript, which is titled "Low-temperature on-board hydrogen production using a novel hollow fibre-based packed bed reactor". This comprises raw data for all light-off experiments and characterisation data. // The development of efficient on-board hydrogen generation technologies via ammonia decomposition necessitates dual advancements in catalyst and reactor design. However, significant challenges remain due to the absence of cost-effective, highly active catalysts and efficient reactors capable of satisfying the demands of on-board operation. Therefore, this work investigated cobalt molybdenum (CoMo)-based oxide and nitride catalytic systems to gain insight into the relationships among catalyst composition, stability and performance in ammonia decomposition, while a novel hollow fibre packed bed reactor (HFPBR) was introduced, for the first time, as a novel reactor concept. The significant performance variation of CoMo-oxide and nitride catalytic systems is demonstrated, extending over a T50 range of 120 °C. The nitride-based catalysts have emerged as promising catalyst candidates due to their superior activity and stability, exhibiting low-temperature activity above 380 °C. Moreover, various HPPBR configurations, each incorporating a CoMo-nitride catalyst, were investigated, with the optimal configuration demonstrating a 10-fold increase in the ammonia consumption rate at 425 °C, compared with the least effective configuration. These findings establish the HFPBR, coupled with a CoMo-based nitride catalyst, as a promising and efficient solution for on-board hydrogen production

    WITHDRAWN: DNS Kolmogorov flow data for Re 90

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    WITHDRAWN: This item has been withdrawn as it is a duplicate of https://doi.org/10.7488/ds/7963. The dataset contains a three dimensional (3-D) Direct Numerical Simulation (DNS) of a Kolmogorov flow with the unit Reynolds number defined as Re=1/nu and a sinusoidal forcing on streamwise axis and one wavenumber. It is an extended shear flow simulation from 2-D simulation into 3-D with periodic boundary on the side walls, input on the left and output on the right walls. It was generated in python using the spectral solver Dedalus. The data can be used to train machine learning algorithm such as an autoencoder for reduce-order modelling of turbulent flow

    Bridging-induced phase separation and loop extrusion drive noise in chromatin transcription

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    Cell-to-cell heterogeneity in transcription, or transcriptional noise, is important in cellular development and in disease. The molecular mechanisms driving it are, however, elusive and ill-understood. Here, we use computer simulations to explore the role of 3D chromatin structure in driving transcriptional noise. We study a simple polymer model where proteins – modeling complexes of transcription factors and polymerases – bind multivalently to transcription units – modeling regulatory elements such as promoters and enhancers. We also include cohesin-like factors which extrude chromatin loops that are important for the physiological folding of chromosomes. We find that transcription factor binding creates spatiotemporal patterning and a highly variable correlation time in transcriptional dynamics, which is linked to the cell-to-cell variation in gene expression. Loop extrusion also contributes to noise, as the stochastic nature of this process leads to different networks of cohesin loops in different cells in our simulations. Our results could be tested with single-cell experiments and provide a pathway to understanding the principles underlying transcriptional plasticity in vivo. This dataset contains the simulation code and supplemental simulation movies of the associated paper

    A far-field boundary condition for measuring drag force on micro/nano particles

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    Predicting the flow around airborne particles smaller than 1 µm is challenging because the flow is rarefied and occurs at very low Reynolds numbers, requiring the Boltzmann equation to be solved using the computationally expensive Direct Simulation Monte Carlo (DSMC) method. In this work, we propose a boundary condition based on the far-field solution of the Stokes equations, allowing accurate drag force predictions using much smaller DSMC domains. This reduces computational cost by up to three orders of magnitude and enables the first tractable calculations for arbitrary-shaped 3D particles in the transition regime. This folder contains the data for reproducing the figures in the article mentioned above, including the non-dimensionalised drag forces and percentage error for two shaped particles with increasing domain size, using the conventional approach and our Stokeslet-corrected boundary condition

    The Edinburgh International Accents of English Corpus

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    English is the most widely spoken language in the world, used daily by millions of people as a first or second language in many different contexts. As a result, there are many varieties of English. Although the great many advances in English automatic speech recognition (ASR) over the past decades, results are usually reported based on test datasets which fail to represent the diversity of English as spoken today around the globe. We present the first release of The Edinburgh International Accents of English Corpus (EdAcc). This dataset attempts to better represent the wide diversity of English, encompassing almost 40 hours of dyadic video call conversations between friends. Unlike other datasets, EdAcc includes a wide range of first and second-language varieties of English and a linguistic background profile of each speaker. Results on latest public, and commercial models show that EdAcc highlights shortcomings of current English ASR models. The best performing model, trained on 680 thousand hours of transcribed data, obtains an average of 19.7% WER -- in contrast to the the 2.7% WER obtained when evaluated on US English clean read speech. Across all models, we observe a drop in performance on Jamaican, Indonesian, Nigerian, and Kenyan English speakers. Recordings, linguistic backgrounds, data statement, and evaluation scripts are released on our website under CC-BY-SA

    Blood and brain based epigenome wide association studies of smoking

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    DNA methylation offers an objective method to assess the impact of smoking. In this work, we conduct a Bayesian EWAS of smoking pack years (n=17,865, ~850k sites, Illumina EPIC array) and extend it by analysing whole genome data of smokers and non-smokers from Generation Scotland (n=46, ~4–21 million sites via TWIST and Oxford Nanopore sequencing). We develop mCigarette, an epigenetic biomarker of smoking, and test it in three British cohorts. Results of brain- and blood-based EWAS (n_brain=14, n_blood=882, >450k sites, Illumina arrays) reveal several loci with near-perfect discrimination of smoking status, but which do not overlap across tissues. Furthermore, we perform a GWAS of epigenetic smoking (GrimAge DNAm), identifying several smoking-related loci. Overall, we improve smoking-related biomarker accuracy and enhance the understanding of the effects of smoking by integrating DNA methylation data from multiple tissues and cohorts. Uploaded files include summary statistics from EWASs and GWASs

    An Accelerating Wind Tunnel for Testing Untethered Bodies in Transverse Gusts - Dataset

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    Dataset corresponds to the manuscript - An Accelerating Wind Tunnel for Testing Untethered Bodies in Transverse Gusts. The manuscript abstract states: Understanding the gust response of free-falling bodies such as plant seeds and debris is critical in predicting their dispersal. Furthermore, gusts can significantly affect the performance and survivability of low-inertia aerial vehicles. However, current methodologies for studying common gusts, particularly transverse gusts, which are characterised by the sudden appearance of a flow velocity component orthogonal to the flyer’s velocity, are not applicable to untethered or free-falling bodies. This article introduces a novel approach that addresses this limitation through an accelerating reference frame generating a fictitious force that temporarily scales and redirects the gravitational force. This approach is demonstrated through a first-of-its-kind vertical wind tunnel that accelerates horizontally in the direction normal to the flow with the same acceleration as the gust. A preliminary characterisation of the facility is presented. The tunnel acceleration generates the same pressure gradient as irrotational, uniform transverse gusts, without introducing the shear layer typical of K¨ussner’s gusts. The gust response of a free-falling dandelion diaspore to a discrete transverse gust (Wagner-type) is demonstrated, but the proposed approach is suitable for arbitrary time series of transverse gusts, including Theodorsen-type periodic gusts. For the first time, this novel approach will allow investigating the dynamic response of untethered bodies to transverse gusts, including micro and nano drones, unpowered microrobots, plant seeds, debris, and more.These folders contain the experimental data and figures as used in the publication "An Accelerating Wind Tunnel for Testing Untethered Bodies in Transverse Gusts" (Experiments in Fluids - Accepted). Data set authors: Ignazio Maria Viola, Aditya Potnis, Soumarup Bhattacharyya, Evan J. Williams, Doug Halley, and David Murphy Data set submitted to: Edinburgh DataShare The data used in this article is organised in the following files: ## Figures Contains figures in subfolders. ### Figures_in_paper_EPS_format Folder contains figures in .EPS format as presented in the paper. ### Figures_SVG_format Folder contains figures in .SVG format. ### Figures_stills_videos_for_Fig_8 Folder contains figures and videos used to create composite figure 8. ### Matlab_figures Folder contains figures for particle image velocimetry of tunnel in .MAT format. ## Data_sets Contains data stored in MATLAB .MAT file format. Files are named according to the data they contain

    Videos of eMouseAtlas Models: Theiler Stage 17 (10-11.25 dpc)

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    A number of videos for each of the eMouseAtlas 3D mouse embryo models to show the overall form and in some cases selected anatomy. Each video is identified by the unique EMA ID with annotation if required. The videos labelled as "watermovies" are captured using the OPT system with the embryo spun on a longitudinal axis with no tissue clearing

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