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    1401 research outputs found

    Dataset associated with the publication 'Cooperative RecA Clustering: The Key to Efficient Homology Searching'

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    Raw data of the experimental work reported in the publication entitled 'Cooperative RecA Clustering: The Key to Efficient Homology Searching’

    PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis.

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    PEATMAP is a GIS shapefile dataset shows a distribution of peatlands that covers the entire world. It was produced by combining the most high quality available peatland map from a wide variety of sources that describe peatland distributions at global, regional and national levels. The following sequence of comparisons to discriminate between overlapping data sources were used: (1) Relevance. The most important criterion was that source data are able to identify peatlands faithfully and to distinguish them from other land cover types, especially non-peat forming wetlands. (2) Spatial resolution. In areas where two or more overlapping data sources were indistinguishable in terms of their relevance to peatlands, the dataset with the finest spatial resolution was selected. (3) Age. In any areas where two or more overlapping datasets were indistinguishable based on both their apparent relevance to peatlands and their spatial resolution, the data product that had been most recently updated was selected. Recently updated products commonly contain much older source data, the period over which the latest revision source data were collected as the primary measure of the age of a dataset

    Liquid Crystal Lyot Filter Data for Application as a Laser Filter

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    Data used to analyse the ability for a liquid crystal (LC) Lyot filter to be used in laser protection. The data is referenced in “A tuneable and switchable liquid crystal laser filter” by E. I. L. Jull and H. F. Gleeson. Different modelling and experimental procedures were used in obtaining the data included, further detail of which can be found in the readme.txt file

    The Orphan of Zhao (Beijing Jingju Company & Beijing Jingju Theatre)/《赵氏孤儿》(北京京剧团/北京京剧院)

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    This data consist of 11 productions of The Orphan of Zhao created by practitioners from four countries – China, Nigeria, Korea and Britain – and spans a range of theatrical genres: Chinese regional operas; spoken drama and Chinese opera in the Western style as well as dramas in Korean and in English (works by Ahmadu Bello University in Nigeria and by the Royal Shakespeare Company in Britain). Viewers can find the introduction to each of the productions, including the information about the particular genre of each stage work. There are also still images and clips of videos; some production links include critical reviews. These diverse productions not only retell an ancient story of an orphan in China, but also enlighten us about the intriguing fluidity and continuity of human culture. 这个《赵氏孤儿》资料群包括11部不同的《赵氏孤儿》作品,分别来自四个国家:中国、韩国、尼日利亚和英国。这里既有中国的戏曲、话剧和歌剧作品,也有韩语和英语的作品(尼日利亚贝洛大学戏剧部和英国皇家莎士比亚剧团的演出)。资料群为浏览者提供了每个作品的介绍包括该作品所采用的剧种。每部作品都有照片,有些包括录像片断和评论文章,这些各有特色的作品不仅重新讲述了一个中国孤儿的故事,而且也使我们看到人类文化中引人入胜的流动和延续的特质

    Data to support study of An Incomplete Spin-Transition Associated with a Z’ = 1 to Z’ = 24 Crystallographic Symmetry Breaking

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    [FeL2][BF4]2·Me2CO (L = N-[2,6-di{pyrazol-1-yl}pyrid-4-yl]acetamide) undergoes partial spin-crossover at T½ = 137 K, accompanied by a crystallographic phase change from phase 1 (P21/c, Z = 4) to phase 2 (P21, Z = 48)

    Water Evaluation And Planning (WEAP) model for the Cauvery River Basin in Karnataka, India

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    This data is a model of the Cauvery River Basin in Karnataka, India used for simulating streamflow changes due to potential future changes in rainfall and water demand. The model is used in the easily available Water Evaluation And Planning software available at http://www.weap21.org/index.asp . The folder has to be copied into the working folder of the software. The model can be viewed by opening the software and clicking on ‘Open’ in the ‘Area’ pull down menu. For more details on the project please see https://www.cccep.ac.uk/case-study/institutions-climate-services-and-adaptation-water-resource-planning-under-uncertainty-in-the-cauvery-river-basin-in-karnataka

    Data associated with 'Effect of FePd alloy composition on the dynamics of artificial spin ice'

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    Artificial spin ices (ASI) are arrays of single domain nano-magnetic islands, arranged in geometries that give rise to frustrated magnetostatic interactions. It is possible to reach their ground state via thermal annealing. We have made square ASI using different FePd alloys to vary the magnetization via co-sputtering. From a polarized state the samples were incrementally heated and we measured the vertex population as a function of temperature using magnetic force microscopy. For the higher magnetization FePd sample, we report an onset of dynamics at T=493T = 493 K, with a rapid collapse into >90%>90\% ground state vertices. In contrast, the low magnetization sample started to fluctuate at lower temperatures, T=393T = 393 K and over a wider temperature range but only reached a maximum of 25%25\% of ground state vertices. These results indicate that the interaction strength, dynamic temperature range and pathways can be finely tuned using a simple co-sputtering process. In addition we have compared our experimental values of the blocking temperature to those predicted using the simple N\'{e}el-Brown two-state model and find a large discrepancy which we attribute to activation volumes much smaller than the island volume

    Dataset associated with 'Three-dimensional assessment of impingement risk in geometrically parameterised hips compared with clinical measures.'

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    This dataset contains the raw data femoral and acetabular parameters, fitting errors, and 2D and 3D impingement severity measures found in the associated study, and also two MATLAB scripts used to calculate severity parameters from the parametric femurs and acetabula

    Headlines data for social media popularity prediction

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    This dataset is part of a larger project on using headlines to predict the social media popularity of news articles. The dataset consists of two headlines corpora -- The Guardian and New York Times -- collected in 2014 using news outlet APIs. Each corpus includes a unique headline identifier (to enable recreating the corpus by querying the relevant API), the extracted features (news values, style, metadata), and the corresponding popularity on Twitter and Facebook

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