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Other language confidence: 0.9934129151818779

Accessibility - Land System Archetypes Input Dataset

global map of accessibility that measures traveltime to major cities and marketplaces (Direct data download is at present not available because of the dataset size of > 200MB)

Performance indicators for health, comfort and safety of the indoor environment (PERFECTION)

Objective: The aim of PERFECTION is to help enable the application of new building design and technologies that improve the impact of the indoor built environment on health, comfort, feeling of safety and positive stimulation. The project concept consists of the following components: - the inventory of current standards, regulations, technologies and ongoing and recent research activities and policies related with optimal indoor environment - analysis of current indoor performance indicators and their applicability positioned within a generic framework, and identifying areas where new indicators for health and safety should be developed - experiences from use cases of building design and technologies exploiting the indicators in different building types - development of a decision support tool to guide the use of correct indicators for a given context - identification of incentives and barriers for the wide use of performance indicators - a roadmap and recommendations for building design and technologies, and support for policies - a wide dissemination of findings through an extensive expert network. The project is carried out at an EU scale and the project results will reach every EU country. More than 40 experts from over 30 countries and representing industry, academia and research were carefully selected to the PERFECTION team to ensure the needed depth and width. The network consists of experts from various domains that are in the focus of the call, such as indoor health issues, acoustics, universal design, performance metrics and tools, sustainable design and construction, etc. The PERFECTION project will organize 5 events all across Europe and will produce a quality publication - showcase of a number of case studies across all EU-27 countries, whereby the impact of innovative and well defined technologies as well as policies on specific buildings will be presented in a user friendly way.

Supplement to: The potential of grey literature for understanding floods

Flood event documentations are a valuable data source that can be deployed for improving the understanding of floods. This data publication is a result of the systematic search for flood relevant publications on trans-basin floods in Germany for the period 1952-2002 conducted in Uhlemann et al. (2012). It consists of two main components: 1) The entire reference database that includes the bibliographic meta-data of all publications that were identified using the search strategy with a fixed set of search terms and inclusion criteria presented in Uhlemann et al. (2012). The database is provided both as Endnote Reference Database as well as in a non-proprietary 'txt' file format. 2) The full evaluation table of the document characteristics. It includes an evaluation sheet that contains all references given in the reference database and the respective attributes that were evaluated in Uhlemann et al.(2012). Further, a table that contains the references per flood event is provided that allows to link the references to the flood events via the unique identifier per publication (the identifier is given through the reference database). For a full disclosure of all files and attributes and for the terms of usage of this dataset please refer to the READ_ME text-file provided below.

Supplement to: A quality assessment framework for natural hazard event documentations: Application to trans-basin flood reports in Germany

This data publication is a supplement to the following publication: Uhlemann, S., Thieken, A.H. and Merz, B.: A quality assessment framework for natural hazard event documentations: Application to trans-basin flood reports in Germany. NHESS-D.2013 Written sources that aim at documenting and analysing a particular natural hazard event in the recent past are published at vast majority as grey literature (e.g., as technical reports) and therefore outside of the scholarly publication routes. In consequence, the application of event specific documentations in natural hazard research has been constrained by barriers in accessibility and concerns of credibility towards these sources and by limited awareness of their content and its usefulness for research questions. In the paper related to this data publication the concerns of credibility are adressed for the first time by developing a generic framework for quality assessment and quality labelling of natural hazard event reports for an international research question. The framework is based on an approach developed in consumer research and assesses the quality of a document in terms of its fitness for use, i.e., it addresses accessibility as well as representational, contextual, and intrinsic dimensions of quality. Further, the Pedigree measure P is introduced which serves as a measure for the overall document quality and is comprised of the scores given within the 10 quality dimensions of the framework. The data publication contains the results for the quality assessment of all documents on trans-basin flood events evaluated in the related study. It contains the scores given to each document in each of the 10 quality dimension as well as the summary score (Pedigree). It includes a subset of documents identified in [2], i.e., reports that were classified as 'Special Report 1' (reports on one, possibly two particular flood events aiming at documentation and analysis) or 'Special Report 2' (reports on two to five, rarely more events, sometimes with the aim of comparative analysis but generally aiming at an event description). In total 105 reports of this characteristic are listed in [2, 3]. As some reports contain information on more than one trans-basin flood event they are evaluated for each event and the total number of quality assessments contained in the data publication here is 133. For a full disclosure of all files, attributes, and references and for the terms of usage of this dataset please refer to the READ_ME text-file provided below.

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