cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11588/data/hnn1fw
title: Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]

description: The Anscombe-Aumann (AA) model, originally introduced to give a normative basis to expected utility, is nowadays mostly used for another purpose: to analyze deviations from expected utility due to ambiguity (unknown probabilities). The AA model makes two ancillary assumptions that do not refer to ambiguity: expected utility for risk and backward induction. These assumptions, even if normatively appropriate, fail descriptively. This paper relaxes these ancillary assumptions to avoid the descriptive violations, while maintaining AA’s convenient mixture operation. Thus, it becomes possible to test and apply all AA-based ambiguity theories descriptively while avoiding confounds due to violated ancillary assumptions. The resulting tests use only simple stimuli, avoiding noise due to complexity. We demonstrate the latter in a simple experiment where we find that three assumptions about ambiguity, commonly made in AA theories, are violated: reference independence, universal ambiguity aversion, and weak certainty independence. The second, theoretical, part of the paper accommodates the violations found for the first ambiguity theory in the AA model—Schmeidler’s CEU theory—by introducing and axiomatizing a reference dependent generalization. That is, we extend the AA ambiguity model to prospect theory.
DOI: 10.11588/data/hnn1fw/carfyl
title: zTree_export.zip

description: zTree files (exported for long term preservation)
DOI: 10.11588/data/hnn1fw/lncbua
title: TrautmannWakker_Experiment_data.xlsx

description: :unav
DOI: 10.11588/data/hnn1fw/pqcwcf
title: TrautmannWakker_onlineappendix.pdf

description: :unav
DOI: 10.11588/data/hnn1fw/yewfpb
title: zTree.zip

description: zTree files (original)
DOI: 10.11588/data/hnn1fw/ymlyh2
title: TrautmannWakker_Experiment_Instructions.pdf

description: Experiment Instructions
DOI: 10.11588/data/hnn1fw/zauucq
title: graphs_for_experiment.zip

description: bmp-Files
DOI: 10.11588/data/pj8cju
title: Religion, moral attitudes and economic behavior [Dataset]

description: Using data for a representative sample of the Dutch population with information about
participants’ religious background, we study the association between religion and moral behavior and attitudes. We find that religious people are less accepting of unethical economic behavior (e.g., tax evasion, bribery) and report more volunteering. They are equally likely as non-religious people to betray trust in an experimental game, where social behavior is unobservable and not directed to a self-selected group of recipients. Religious people also report lower preference for redistribution. Considering differences between denominations, Catholics betray less than non-religious people, while Protestants betray more than Catholics and are indistinguishable from the non-religious. We also explore the intergenerational transmission and the potential causality of these associations.
DOI: 10.11588/data/pj8cju/8h1dx4
title: DataPackage.zip

description: Original data package (original directory structure)
DOI: 10.11588/data/pj8cju/arzsvn
title: resobe_analysis_summaryStatistics.do

description: Directory: DataPackage/stata
DOI: 10.11588/data/pj8cju/cizxn5
title: resobe_2012LISS.tab

description: Directory: DataPackage/Stata/Data
DOI: 10.11588/data/pj8cju/dyzmgs
title: KPT_OnlineAppendix.pdf

description: Online Appendix
DOI: 10.11588/data/pj8cju/gtrlfq
title: ReadMe.txt

description: ReadMe
DOI: 10.11588/data/pj8cju/ivcr44
title: resobe_mergeModules.do

description: Directory: DataPackage/stata
DOI: 10.11588/data/pj8cju/rfi16r
title: resobe_gen_var.do

description: Directory: DataPackage/stata
DOI: 10.11588/data/pj8cju/s3imr5
title: resobe_analysis_regression.do

description: Directory: DataPackage/stata
DOI: 10.11588/data/pj8cju/tldzae
title: resobe_compareDatasets.do

description: Directory: DataPackage/stata
DOI: 10.11588/data/kgyos6
title: Bekvaem: Integrative Data Exploration of Genomic Data

description: Using modern open-source libraries for web-based visualizations and data-processing, Bekvaem, a generic framework for the creation of data exploration software is introduced. Providing a high-level interface to fast low-level routines and employing open formats for the data storage, Bekvaem remains easily adjustable and independent from prior data processing pipelines.
DOI: 10.11588/data/h2ilih/ahidv5
title: Fundstellenkatalog_Neumark_Armin-Volkmann.xlsx

description: Catalog
DOI: 10.11588/data/h2ilih/dviwhi
title: Unverzagt-Dias.zip

description: Images
DOI: 10.11588/data/h2ilih/hzbawy
title: Neumarkbildplatten.zip

description: Images
DOI: 10.11588/data/h2ilih/qhuze2
title: Readme-Funde-der-Neumark.txt

description: Wichtige Informationen zur Nutzung des Katalogs der „Altfundstellen“ der Neumark (in der ehemaligen Provinz Brandenburg, den heutigen Wojewodschaften Zachodnio-Pomorskie, Lubuskie und Wielkopolskie) aus den Archiven der Prähistorischen Abteilung des Märkischen Museums Berlin, des Museums für Vor- und Frühgeschichte Berlin und des Brandenburgischen Landesamts für Denkmalpflege
DOI: 10.11588/data/h2ilih/qzoynt
title: Neumark-Fotos.zip

description: Images
DOI: 10.11588/data/h2ilih/yi95tc
title: Neumark-Dias-HMA.zip

description: Images
DOI: 10.11588/data/gbkk4o/cpazx9
title: 03_IQ_Deutsch.ztt

description: Ztree original files
DOI: 10.11588/data/gbkk4o/crkpr3
title: 05_Questionnaire.ztq

description: Ztree original files
DOI: 10.11588/data/gbkk4o/juu4xy
title: 04_Fragebogen_IQIE.ztt

description: Ztree original files
DOI: 10.11588/data/gbkk4o/kzlasv
title: 02_Lotteries_Deutsch.ztt

description: Ztree original files
DOI: 10.11588/data/gbkk4o/l3ukia
title: 04_Fragebogen.ztt

description: Ztree original files
DOI: 10.11588/data/gbkk4o/p11dau
title: 01_IQ_Deutsch.ztt

description: Ztree original files
DOI: 10.11588/data/gbkk4o/ppg95t
title: 01_IE_Deutsch.ztt

description: Ztree original files
DOI: 10.11588/data/gbkk4o/uvcg6f
title: 03_IE_Deutsch.ztt

description: Ztree original files
DOI: 10.11588/data/gbkk4o/v2aqxr
title: 04_Fragebogen_IEIQ.ztt

description: Ztree original files
DOI: 10.11588/data/gbkk4o
title: Risk, time pressure, and selection effects [Dataset]

description: Time pressure is a central aspect of economic decision making nowadays.
It is therefore natural to ask how time pressure affects decisions, and how to detect
individual heterogeneity in the ability to successfully cope with time pressure. In the
context of risky decisions, we ask whether a person’s performance under time
pressure can be predicted by measurable behavior and traits, and whether such
measurement itself may be affected by selection issues. We find that the ability to
cope with time pressure varies significantly across decision makers, leading to
selected subgroups that differ in terms of their observed behaviors and personal
traits. Moreover, measures of cognitive ability and intellectual efficiency jointly
predict individuals’ decision quality and ability to keep their decision strategy under
time pressure.
DOI: 10.11588/data/gbkk4o/6cvnlr
title: Kocheretal_2018_ExperimentalEconomics_Webappendix.pdf

description: Web Appendix
DOI: 10.11588/data/gbkk4o/7azqv4
title: Replication_WebAppendix_long.dta

description: Replication WebAppendix
DOI: 10.11588/data/gbkk4o/8tfzkt
title: Replication_long.dta

description: Main paper
DOI: 10.11588/data/gbkk4o/aekjwi
title: Replication_WebAppendix_TimeStamps.dta

description: Replication WebAppendix
DOI: 10.11588/data/gbkk4o/aprrwk
title: Replication.do

description: Main paper
DOI: 10.11588/data/gbkk4o/esfkfk
title: Replication_WebAppendix.do

description: Replication WebAppendix
DOI: 10.11588/data/gbkk4o/frg2dm
title: Ztree_text_export.zip

description: Ztree text export (long term preservation)
DOI: 10.11588/data/gbkk4o/kcgh0z
title: Replication_TimeStamps.dta

description: Main paper
DOI: 10.11588/data/gbkk4o/lxlkpm
title: Replication_WebAppendix.dta

description: Replication WebAppendix
DOI: 10.11588/data/gbkk4o/qhc03q
title: Replication_WebAppendix_CPT.dta

description: Replication WebAppendix
DOI: 10.11588/data/gbkk4o/smscrp
title: Variables Codebook.tab

description: :unav
DOI: 10.11588/data/gbkk4o/tibxir
title: Replication.dta

description: Main paper
DOI: 10.11588/data/mhugkp
title: Ambiguity Attitudes in the Loss Domain: Decisions for Self versus Others [Dataset]

description: We study whether people’s ambiguity attitudes differ when deciding for themselves or for others in the loss domain. We find no differences in ambiguity attitudes between self- and other-regarding decision-making. Our results are consistent with the loss part of the fourfold pattern of ambiguity attitudes.
DOI: 10.11588/data/mhugkp/3zwb19
title: Replication.do

description: :unav
DOI: 10.11588/data/mhugkp/48ohoc
title: Other2and10color.txt

description: zTree text export (long term preservation)
DOI: 10.11588/data/mhugkp/6jg8fq
title: Other2and10color.ztt

description: zTree original file
DOI: 10.11588/data/mhugkp/6k83yq
title: Replication.dta

description: :unav
DOI: 10.11588/data/mhugkp/c1vyty
title: Online Appendix.pdf

description: :unav
DOI: 10.11588/data/mhugkp/iqizg2
title: Self_2color.ztt

description: zTree original file
DOI: 10.11588/data/mhugkp/kesw9p
title: Self_2color.txt

description: zTree text export (long term preservation)
DOI: 10.11588/data/mhugkp/m5dwdp
title: Self_10color.ztt

description: zTree original file
DOI: 10.11588/data/mhugkp/ppul5r
title: Variables Codebook.tab

description: :unav
DOI: 10.11588/data/mhugkp/xeakkw
title: Self_10color.txt

description: zTree text export (long term preservation)
DOI: 10.11588/data/fhocrz
title: Raw data and analysis scripts for "Design and application of an MR reference phantom for multicentre lung imaging trials"

description: This dataset contains all MRI phantom data discussed in the related publication as well as the python scripts used to analyse them. The format is DICOM files, where institution names and adresses have been anonymized.&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Abstract&lt;/b&gt;&lt;br /&gt;
Introduction:&lt;br /&gt;
As there is an increasing number of multicentre lung imaging studies with MRI in patients, dedicated reference phantoms are required to allow for the assessment and comparison of image quality in multi-vendor and multi-centre environments. However, appropriate phantoms for this purpose are so far not available commercially. It was therefore the purpose of this project to design and evaluate a cost-effective and simple to use reference phantom which addresses the specific requirements for imaging the lungs with MRI.&lt;br /&gt;
&lt;br /&gt;
Methods:&lt;br /&gt;
We designed and employed a cost-effective and simple to use reference phantom specifically for the demands of chest MRI, simulating 4 compartments (lung, blood, muscle and fat) which reflect the specific conditions in proton-MRI of the chest. Multiple phantom instances were produced and measured at 15 sites using a complete proton-MRI protocol designed for an in vivo COPD study at intervals over the course of the study. Measures of signal- and contrast-to-noise ratio, as well as structure and edge depiction were extracted from conventionally acquired images using software written for this purpose.&lt;br /&gt;
&lt;br /&gt;
Results:&lt;br /&gt;
For the signal to noise ratio, low (short-term) intra-scanner variability was found with, 4.5% in the lung compartment, 4.0% for blood, 3.3% for muscle and 3.7% for fat. The inter-scanner variability was substantially higher, with 41%, 32% 27% and 32% for the same order of compartments. In addition, measures of structure and edge depiction were found to both vary significantly among several scanner types and among scanners of the same model which were equipped with different gradient systems.&lt;br /&gt;
&lt;br /&gt;
Conclusion:&lt;br /&gt;
The described reference phantom detected substantial inter-scanner variability in a current multicentre proton MRI study of the lung. Accordingly, the use of an appropriate reference phantom is advised and the extent of variability in image quality should be considered when interpreting results of such imaging studies.
description: Each zip archive contains multiple phantom measurements for one site performed using one phantom instance. Site13 was the scanner used for reference measurements and thus contains measurements from multiple instances.<br>

Naming schemes for DICOM files vary between sites but are largely irrelevant since analysis is based on DICOM headers only.<br>

The archives also contain .npz archives and .txt summaries as generated by the python scripts, containing analysis results.<br>
description: Siemens Syngo MR, VB17; VB19; VD13; VE11
description: Python, 2.7+
DOI: 10.11588/data/fhocrz/6amc4x
title: site11.zip

description: :unav
DOI: 10.11588/data/fhocrz/8yhng2
title: site05.zip

description: :unav
DOI: 10.11588/data/fhocrz/afiqg0
title: site01.zip

description: :unav
DOI: 10.11588/data/fhocrz/digaig
title: phantom_analysis.py

description: Python script for analysis of phantom measurements. Accepts a folder name as command line parameter.
DOI: 10.11588/data/fhocrz/fiezdw
title: site14.zip

description: :unav
DOI: 10.11588/data/fhocrz/g47otl
title: site13.zip

description: :unav
DOI: 10.11588/data/fhocrz/ga91mw
title: site00.zip

description: :unav
DOI: 10.11588/data/fhocrz/l876t1
title: site10.zip

description: :unav
DOI: 10.11588/data/fhocrz/lwgynq
title: site07.zip

description: :unav
DOI: 10.11588/data/fhocrz/mgqnrr
title: site08.zip

description: :unav
DOI: 10.11588/data/fhocrz/mljik4
title: site03.zip

description: :unav
DOI: 10.11588/data/fhocrz/mroz5g
title: site09.zip

description: :unav
DOI: 10.11588/data/fhocrz/njtlr1
title: site02.zip

description: :unav
DOI: 10.11588/data/fhocrz/seiqhp
title: phantom_analysis_p.py

description: Python script for analysis of phantom measurements. Accepts a folder name as command line parameter. Parallelized version of phantom_analysis.py
DOI: 10.11588/data/fhocrz/t9m2yx
title: site12.zip

description: :unav
DOI: 10.11588/data/fhocrz/u9zauc
title: site06.zip

description: :unav
DOI: 10.11588/data/fhocrz/x5tnyg
title: site04.zip

description: :unav
DOI: 10.11588/data/r5raxo
title: Keywords in Augustine's Letters (KAL)

description: 252 latin letters, based on the CAG Online, were lemmatized with the aid of the TreeTagger and the Latin parameter files of Gabriele Brandolini. Afterwards, Lemmatization errors were corrected manually. With Wordsmith 7.0, I extracted key words out of the lemmas automatically. The results were exported in MS Excel where I added an Index and modified the design to provide it more user-friendly. Furthermore, I created a register, which makes it easier to compare parallels of the key words in the letters of Augustine. They are sorted by frequency or alphabet. It provides useful additional information for everyone who wants to study style or content of Augustine's letters.
description: TreeTagger
description: WordSmith, 7.0.0.148
description: MS Excel
DOI: 10.11588/data/r5raxo/frxu1p
title: KAL.xlsx

description: :unav
DOI: 10.11588/data/f68jzt
title: Social Preferences under Chronic Stress [Dataset]

description: Even though chronic stress is a pervasive problem in contemporary societies and is known to potentially precede both adverse psychological as well as physiological conditions, its effects on decision making have not been systematically investigated. In this paper, we focus on the relation between self-reported chronic stress and self-reported as well as behaviorally shown social preferences. We measured chronic stress with the Trier Inventory for Chronic Stress [1, 2]. To determine social preferences, participants played a double anonymous dictator game. In order to control for the robustness of social preferences we employed a 2x2x2x2 design where we manipulated four variables: the frame (Give to Recipient vs. Take from Recipient), the decision maker’s gender (Female vs. Male), the recipient’s gender (Female vs. Male), and the nature of the reward (Real vs. Hypothetical). Results show that perceived chronic stress is not significantly related to social preferences in monetarily rewarded dictator decisions for either gender. However, women’s displayed preferences for hypothetical rewards are negatively correlated to chronic stress levels. This indicates that higher chronic stress in women is associated with lower hypothetical transfers but not with altered actual behavior as compared to non-stressed women. For men, we do not observe such effects. Our findings suggest that, while chronic stress leaves social preferences unaffected in an incentive compatible task, it might foster what could be interpreted as a decrease in self-image promotion in women. Thus, we conclude that in a thoroughly controlled behavioral task differences in reported chronic stress do not entail differences in social preferences, but promote relate to variation in hypothetical decisions for women.
DOI: 10.11588/data/f68jzt/z2flwk
title: SocialPreferencesUnderChronicStress.csv

description: :unav
DOI: 10.11588/data/hy4obj
title: Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]

description: In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step, the network has to be trained with simulated data to learn the relation of parameters and data. Then, the trained network can be used to re-estimate parameters for real data. The efficiency and robustness of this approach was tested for two decision models based on continuous evidence accumulation. Study 1 investigated the recovery of parameters of the diffusion model, and Study 2 addressed the same question for a Lévy-Flight model. Results demonstrate that the machine-learning approach is superior to traditional multidimensional search algorithms that maximize the likelihood, both in terms of correlations of estimated parameters with true parameters and with regard to absolute deviations. The new approach also excels the maximum likelihood based search pertaining the robustness in the presence of contaminated data.
DOI: 10.11588/data/hy4obj/6wxuno
title: diff_test_0.csv

description: Study 1
DOI: 10.11588/data/hy4obj/ackrqz
title: diff_test_100.csv

description: Study 1
DOI: 10.11588/data/hy4obj/fbif5m
title: levy_test_100.csv

description: Study 2
DOI: 10.11588/data/hy4obj/gn6w0i
title: readme.txt

description: :unav
DOI: 10.11588/data/hy4obj/slapv1
title: levy_test_0.csv

description: Study 2
DOI: 10.11588/data/mes8fe
title: Judging the mood of the crowd: Attention is focused on happy faces [Dataset]

description: Previous research on valence biases in face perception revealed inconsistent findings either proposing angry or happy faces to be detected more efficiently. We argue that the typical experimental task in this field, the face-in-the-crowd (FiC) paradigm, lacks ecological validity and leads to ambiguous results. In the present paper, we introduce a new task, the mood-of-the-crowd (MoC) paradigm that can complement existing FiC findings. In the new task, participants have to decide which expression is shown by most faces in a crowd. In Experiment 1, photographs were used as stimuli, whereas computer-generated faces were presented in Experiment 2. While in the first experiments either happy and neutral or angry and neutral emotions were shown within one crowd, in Experiment 3, crowds were composed of angry and happy faces. Gaze position was recorded to gain further insights on attentional processes. In the first experiment, happy moods were identified faster and with a higher accuracy. Although we could only find higher accuracy rates for happy moods in experiment 2, happy faces were fixated more frequently indicating faster processing of more information in the same amount of time. A higher proportion of fixations and first fixation on happy faces occurred in experiment 3. Moreover, target gender was found to be an important moderator. In female crowds, emotion was generally assessed more accurately. Additionally, while emotional faces were overall focused more often than neutral faces, this effect was more pronounced in female crowds. The same pattern emerged in the comparison of happy vs. angry faces: Female happy faces had the highest probability to attract attention. The close connection between femininity and emotionality or rather happiness is discussed as a possible reason for these findings.
DOI: 10.11588/data/mes8fe/dzdd5v
title: Study2.zip

description: :unav
DOI: 10.11588/data/mes8fe/eh3joo
title: Study3.zip

description: :unav
DOI: 10.11588/data/mes8fe/j3o8na
title: Study1.zip

description: :unav
DOI: 10.11588/data/xjaoc4
title: Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome [Dataset]

description: &lt;b&gt; Data used for the implementation of the proposed tumor budding detection&lt;/b&gt;&lt;br /&gt;
In the publication “Automatic evaluation of tumour budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome” we described a multistep approach to detect tumor buds in immunohistochemically stained images: . &lt;br /&gt;
Step 1: Color and size based segmentation. &lt;br /&gt;
Step 2: Validation of the detected objects (proposals) by a spatial clustering and a convolutional neural network (MatConvNet by A. Vedaldi et al. [1]). &lt;br /&gt;

&lt;p&gt;&lt;img src="https://heidata.uni-heidelberg.de/api/access/datafile/1772?imageThumb=400&pfdrid_c=true"&gt;&lt;/p&gt;

&lt;br /&gt;
The Matlab-Code for the project is available on &lt;a href="https://github.com/catweis/Automatic-evaluation-of-tumour-budding-in-immunohistochemically-stained-colorectal-carcinomas-"&gt;GitHub&lt;/a&gt;.
&lt;br /&gt;
The data for the CNN-training and validation are presented as .mat-file. It contains a struct element with the images in a 4D-matrix, the label (“bud” and “no bud”) and a set (“training” and “validation”).&lt;br /&gt;
Please refer to the "Terms" tab below for usage and reproduction terms.&lt;br /&gt;
&lt;b&gt; References:&lt;/b&gt;&lt;br /&gt;
1. Vedaldi, A., K. Lenc, and A. Gupta. MatConvNet: CNNs for MATLAB. 2015; Available from: http://www.vlfeat.org/matconvnet/.
DOI: 10.11588/data/xjaoc4/1icmhc
title: GraMa030_core00010.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/1m3ktz
title: GraMa233_core00022.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/2ma53f
title: CRC_TA_V_Core1775.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/3oebil
title: GraMa030_core00118.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/5cfcrv
title: GraMa233_core00139.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/5jmi1o
title: CRC_TA_I_Core1.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/dfauwn
title: CRC_TA_I_Core19.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/dqkbt2
title: CRC_TA_I_Core58.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/dyqqxl
title: CRC_TA_V_Core1785.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/fk2ais
title: CRC_TA_I_Core4.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/fmtdhj
title: CRC_TA_I_Core16.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/j7tuj3
title: GraMa119_core00068.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/k6rnff
title: GraMa119_core00145.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/ke7iyz
title: CRC_TA_I_Core2.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/lefsvh
title: CRC_TA_I_Core42.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/ljk3fi
title: GraMa119_core00098.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/mootsh
title: GraMa119_core00005.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/n7iddc
title: CRC_TA_I_Core7.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/pcceex
title: GraMa119_core00176.tiff

description: :unav
DOI: 10.11588/data/xjaoc4/ridbqr
title: AbbildungHeiData.png

description: :unav