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Disease PERCEPTION's database including: Patient-patient similarity network, stratified comorbidity network and the disease molecular similarity network (and their associated genes and drugs)
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EU-OSHA’s European Survey of Enterprises on New and Emerging Risks (ESENER) is an extensive survey that looks at how European workplaces manage safety and health risks in practice. Thousands of businesses and organisations across Europe are asked to respond to a questionnaire that focuses on: - general safety and health risks in the workplace and how they are managed; - psychosocial risks, such as stress, bullying and harassment; - drivers of and barriers to OSH management; - worker participation in safety and health practices. The results from these interviews are complemented by secondary analyses involving a series of in-depth studies that focus on specific topics. Quantitative and qualitative research methodologies are applied in these studies to help better understand the main findings from the survey. The second edition of EU-OSHA’s Europe-wide survey of enterprises, ESENER-2, collected responses from almost 50,000 enterprises on OSH management and workplace risks, with a particular focus on psychosocial risks, worker participation, and drivers and barriers to action. The aim is to provide nationally comparable data to help in policy-making and assist workplaces to deal with risks more effectively. The fieldwork for this second wave was carried out in the summer-autumn of 2014. The survey provides an invaluable up-to-date snapshot of how workplace risks, and especially new and emerging risks, are being managed across Europe. The focus on new and emerging risks means that the responses shed light on underexplored and increasingly important areas of OSH, such as psychosocial risks, which are a growing area of concern in European work¬places. The 2014 survey is even more detailed and extensive than the first one, with the sample sizes increased by half, and in three countries the national samples have been additionally boosted. ESENER-2 includes micro enterprises of 5 to 10 employees and agricultural businesses for the first time. Five new countries Albania, Iceland, the Former Yugoslav Republic of Macedonia, Montenegro and Serbia have been added to the 31 that were included in 2009. Some of the topics covered are: - musculoskeletal disorders; - the organisation of OSH management; - approaches to worker participation in OSH.
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A dataset containing quality controlled wind observations from 183 different tall towers has been created. High resolution wind speed and wind direction measurements have been collected from existing tall towers around the world within the context of the INDECIS project in an effort to boost the utilization of these non-standard atmospheric datasets. Wind observations taken at several heights greater than 10 meters above ground level have been retrieved from various sparse datasets and compiled in a unique collection with a common format, access, documentation and quality control. For the latter, a total of 18 Quality Control checks have been considered to ensure a high quality of the wind observations. Non quality-controlled temperature, relative humidity and barometric pressure data have been also obtained and made available. Complete information on the collection and quality control processes can be found at: https://earth.bsc.es/wiki/lib/exe/fetch.php?media=library:external:technical_memoranda:technical_report_talltower_database_v2.pdf These data are made available in good faith to be used for non-commercial purposes. In no event will the authors be liable to you or to any third party for any type of damage or loss resulting from any use or misuse of these data.
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Eurofound Income indicators is a section of the Eurofound interactive database on quality of life in Europe. Its website offers quantitative and quantified indicators drawn from surveys of the European Foundation and other published sources. The data cover 34 countries.
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Matlab-Demonstrator zur evidenzbasierten Modellierung eines Einmassenschwingers mittels spärlicher linearer Regression. Zum Ausführen wird die Matlab Runtime R2017a benötigt. Download unter https://de.mathworks.com/products/compiler/matlab-runtime.html Der Matlab-Demonstrator nutzt den Algorithmus "SINDy" (Sparse Identification of Nonlinear Dynamics): Brunton, S.L., Proctor J.L., Kutz, J.N.: Discovering governing equations by sparse identification of nonlinear dynamical systems. Proceedings of the National Academy of Sciences of the United States of America, 113(15):3932-3937, 2016 (https://www.pnas.org/content/113/15/3932)
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The HETUS database compiles comparative time use data taken from the Harmonised European Time Use Surveys. These surveys have been carried out by national statistics institutes. Data are provided by respondents who fill in 24 hour-diaries of their daily activities. The HETUS website contains free access to prefabricated comparative tables of aggregate time use statistics. User-defined tables can be calculated after registration. The data cover 15 European countries.
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The OECD Family Database is an online database with comparative information on family outcomes and family policies across 30 OECD countries (OECD). It contains descriptive information on parental leave systems, childcare services and early education services. The OECD Family Database brings together information from different OECD databases (e.g. the OECD Social Expenditure Database, the OECD Benefits and Wages Database, and the OECD Education Database) and databases maintained by other international organisations. Here we focus on policy data.
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