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    632 research outputs found

    Budgeting Bias

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    Project investigating the impact of cognitive bias on politicians' budgetary preference

    Modelling and mechanistic study of polyethylene chain cleavage during ball milling

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    This is the data package of the manuscript "Modelling and mechanistic study of polyethylene chain cleavage during ball milling". Additional information about the dataset can be found in the README.md file in the main folder

    Polarization-Sensitive Imaging in Magnetic Environments

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    Data and code for the figures in the article "Polarization-Sensitive Imaging in Magnetic Environments

    Weight Elicitation Experiment for Moral Attributes for Automated Vehicles

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    This project aims to develop an empirical ethical goal function (EGF) for automated vehicles (AVs) based on societal preferences. The study uses discrete choice experiments to elicit the relative weights of six ethical attributes: Physical Harm, Psychological Harm, Moral Responsibility, Fair Innings, Legality of the Action, and Environmental Harm. These weights inform the construction of the EGF using a multinomial logit model. The project also proposes integrating this model into a Socio-Technological Feedback (SOTEF) Loop for dynamic refinement of AV ethics

    M-Tool data analysis script

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    This folder consists of two R scripts that can help you process the M-Tool data. The first folder contains an R-script that provides M-Tool users with a starting point for their data analysis. The script uses the edge list produced by M-Tool and transforms these into total number of nodes, total number of edges and various centrality measures (including in- and out-degree, in- and out-strength, mean in- and out-degree weight, weighted and unweighted betweenness). The script also includes code to visualize the data. Users need to download both scripts, save their data file in the same folder, and enter the name of their data file in the script to obtain the centrality measures. The output consists of long data, with a row for each node for each participant. The output data can be integrated with survey data for further analysis. The second folder consists of an R script that allows you to visualise the aggregated mental models across all your participants. Using the images you used in your data collection, you can create a visual representation of the combined mental models of all participants. You can tailor the figure using the instructions in the R script. For more information on M-Tool, see www.m-tool.org. Contact person: Karlijn van den Broek - researcher - [email protected]

    Production of intonational phrase boundaries in Dutch 3.0

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    The dataset 'Production of intonational phrase boundaries in Dutch' is part of a PhD project on development of prosodic phrasing before birth and in the first year of life, which is part of the larger research initiative 'SoundStart' on early prosodic development. This data was collected for a study focusing on the acoustic cues that are used by speakers to indicate major prosodic boundaries in Dutch. The dataset consists of recordings of 16 adult native speakers of Dutch, who produced utterance-medial intonation phrase (IP) boundaries in two syntactic contexts: coordinated name sequences and compound sentences. In both contexts, target utterances were elicited both with and without an IP boundary. These recordings were first segmented and annotated. Then, preboundary pitch height, IP-final and pre-IP-final syllable durations, and pause durations at the IP boundary were measured in PRAAT and exported into a csv file. Finally, results were statistically analyzed. PRAAT scripts, PRAAT textgrid files, the csv data file and an R-markdown file containing the statistical analysis are included in the dataset. In addition, materials that were used to elicit target utterances are included. For more details about this study, see Geutjes, J., Junge, C. & Chen, A. (in press) 'Production of intonational phrase boundaries in Dutch'

    Multisensory_Container

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    This data package contains data from 3 experiments in which participants estimated the content of containers

    Raw data for Investigating the links between statistical learning, rhythmic ability, working memory, and vocabulary in Developmental Dyslexia

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    Raw data (EEG and behavioral) for the study Investigating the links between statistical learning, rhythmic ability, working memory, and vocabulary in Developmental Dyslexia. This repository contains all raw data (EEG and behavioral). Processed files for analyses and analysis scripts can be found here: www.doi.org/10.17605/OSF.IO/HU6V

    Public Debt Holland - Prices and Yields of Losrenten

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    This dataset contains the prices and yoelds from losrente of three cities of in Holland between 1600 - 1795, sc. Amsterdam, Leiden en Gouda. The data is used and described in several publications, including: Oscar Gelderbom and Joost Jonker, “Public Finance and Economic Growth. The Case of Holland in the Seventeenth Century”, The Journal of Economic History, 71-1 (March 2011), 1-39. Oscar Gelderblom and Joost Jonker, “Low Countries Finance, 1348–1700” In. Handbook of Key Global Financial Markets, Institutions, and Infrastructure, edited by Douglas W. Arner et al. (Elsevier 2013) 175-83. http://dx.doi.org/10.1016/B978-0-12-397873-8.00007-4. The data contains one excel file with three sheets. The sheets cover: 1) Provenance information 2) Recorded prices of transactions of losrenten and obligaties registered by the aldermen of Gouda, Leiden, and Amsterdam 3) Yields on Hollands losrenten calculated from (a) the nominal interest rate minus the withholding taxes (100th and 200th pennies) and (b) the weighed average of the prices paid for losrenten in Gouda and Leiden All data collected by Oscar Gelderblom and Joost Jonker

    Data for "Modulation of the post-auricular reflex in response to social and CT-optimal touch"

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    This repository contains the data required to replicate the results presented in the manuscript. There are separate folders for the physiological data (post-auricular reflex recordings) and survey data. These folders also contain information about data processing and analyses. All analyses were conducted in JASP (version 0.18.3). Detailed information about the files in the subfolders can be found in the respective Readme.txt files. Contact person is Birgit Hasenack ([email protected])

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