24 research outputs found

    Regionally aggregated, stitched and de‐drifted CMIP‐climate data, processed with netCDF‐SCM v2.0.0

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    The world's most complex climate models are currently running a range of experiments as part of the Sixth Coupled Model Intercomparison Project (CMIP6). Added to the output from the Fifth Coupled Model Intercomparison Project (CMIP5), the total data volume will be in the order of 20PB. Here, we present a dataset of annual, monthly, global, hemispheric and land/ocean means derived from a selection of experiments of key interest to climate data analysts and reduced complexity climate modellers. The derived dataset is a key part of validating, calibrating and developing reduced complexity climate models against the behaviour of more physically complete models. In addition to its use for reduced complexity climate modellers, we aim to make our data accessible to other research communities. We facilitate this in a number of ways. Firstly, given the focus on annual, monthly, global, hemispheric and land/ocean mean quantities, our dataset is orders of magnitude smaller than the source data and hence does not require specialized ‘big data’ expertise. Secondly, again because of its smaller size, we are able to offer our dataset in a text-based format, greatly reducing the computational expertise required to work with CMIP output. Thirdly, we enable data provenance and integrity control by tracking all source metadata and providing tools which check whether a dataset has been retracted, that is identified as erroneous. The resulting dataset is updated as new CMIP6 results become available and we provide a stable access point to allow automated downloads. Along with our accompanying website (cmip6.science.unimelb.edu.au), we believe this dataset provides a unique community resource, as well as allowing non-specialists to access CMIP data in a new, user-friendly way

    Aspects of daily life - Longitudinal Data (2013-2016)

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    The survey "Aspects of Daily Life" is carried out by ISTAT and it is aimed to collect key information about the daily life of individuals and households on an annual basis. This information are focused on the habits, opinions, and attitudes of citizens regarding the main issues related to their social and family life. The sample interviewed annually is about 20,000 families, for a total of about 50,000 individuals. Given the wealth of information collected through the survey, UniData - Bicocca Data Archive has created a longitudinal dataset able to support transversal analysis across the years. The aim is to provide directly accessible information on change concerning the habits and the main aspects that characterize the daily life of Italians. Therefore, the longitudinal dataset represents a very important resource for the development of a diachronic approach to the study of Italian society. This dataset, in particular, includes information relating to the 2013-2016 period. The original data provided by Istat have been suitably selected and harmonized in order to create a longitudinal database that, on an annual basis, would allow a comparison over time. The dataset contains information relating to a total of 153,813 individuals, collected in 582 variables. The information has been organised in the following thematic sections: - Socio-demographic - Education and training - Working time - Area of residence - Housing - Possession of goods - Media - Internet - Insurance - Use of services - Health - Food consumption - Sport - Mobility - Environment - Cultural consumption - Participation - Social relations - Trust - Satisfaction For more information on the construction of the longitudinal dataset, the data harmonisation process and other methodological issues, please refer to the attached documents

    Teleseismic P

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    Census of population and housing - Extended dataset (2011)

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    The Census of Population and Housing is one of the most important surveys carried out by ISTAT. It is conducted every ten years from 1861, and the main objectives are: the count of the whole population and the recognition of its structural characteristics; updating and revision of civil registers; the definition of the legal population for juridical and electoral purposes; the collection of information about the number and structural characteristics of houses and buildings. The Census collects information about demographic and family structure of the population, the types of their households, their level of education, their employment status, and other informations on residents population. In 2011, for the first time, some information of socio-economic character were measured on a sample basis through the use of two types of questionnaire: one in a reduced form, with a few questions, including indispensable information for the production of the data required by the European Union with an high spatial detail, and one in complete form. The extended dataset is a supplement to the data of the 15th Population and Housing Census carried out by Istat in 2011. Compared to the data distributed by Istat, this version contains additional variables that report, for each census tracts of the Italian municipalities, information related to: - the professional position (number of employees classified through eight categories) - the housing supplies (heating, water, cooking, etc.) - disadvantaged family type (single parent, single parent with children under 15 and single person over 65) The dataset therefore allows to have more data than those released with the official census, useful in particular to carry out in-depth studies on the employment status, deprivation and poverty

    Scaling JupyterHub Using Kubernetes on Jetstream Cloud

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    Evolutionary computer architecture

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