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Benefit Unexpectedness and Other-Praising Study 3, 2018
245 participants from a German university were recruited via a department data base to participate in an online study examining the unexpectedness of a benefit on intended gratitude expressions towards unfamiliar targets, employing a vignette design (196 female, 46 male, 3 diverse/not applicable; Mage = 27.00, SDage = 7.26). As compensation, six participants won € 20.00 each in a lottery.
After providing demographics, participants were asked to imagine the following situation: They had recently started to work as a student assistant at a research department. One day, while completing a task, they received very beneficial help from a gender-matched colleague. Participants were randomly assigned to the unexpectedness condition, where that colleague had never helped before and usually everyone worked alone at that department, or the expectedness condition, where that colleague had previously helped the participant. Subsequently, participants answered a manipulation check asking whether the target’s help had come unexpectedly, expectedly, or neither of those.
Participants were then instructed to write the target an e-mail to thank him/her for helping out. These e-mails were content-coded for other-praising and self-benefiting expressions based on a coding-scheme developed by Algoe and colleagues (2016). Subsequently, participants rated eight statements (four reflecting other-praising intentions and four reflecting self-benefitting intentions) with respect to how much these reflected what they would like to express in their e-mail to the target (e.g. “You made a big contribution to this project;” “I am very happy that I was able to complete the project in time”).
There was no formal institutional ethics approval available at the time these data were collected. The research project on the relationship between unexpectedness and gratitude expressions was approved and funded by the funding institution (Center of Social and Economic Behavior at the University of Cologne)
Monmouth University National Poll, Number 225
This survey was conducted using a national sample and addresses the 2020 general election, Chinese and Russian interference in the presidential election, maintaining law and order in the country, respect for military troops, race relations, integration of suburban communities, protests for incidents involving police and the deaths of Black civilians, and the coronavirus outbreak
Replication Data for: Human airway microbiome composition and sputum inflammatory cell profiles are altered with controlled wood smoke exposure as a model for wildfire smoke
Induced sputum derived microbiome (16S, V3-V4 region) data was collected from human subjects exposed to 500ug/m3 of wood smoke in a controlled exposure chamber for 2 hours with light intermittent exercise. Samples are pre-exposure, 6hr post exposure and 24hr post exposure. Data included are OTU feature tables, tree, eHOMD derived taxonomy, SILVA derived taxonomy, and metadata which were all imported from QIIME2 after alignment from FASTQ files and imported into R for analysis
Data Management and Sharing Plan for: Development of an INSPIRE System for the Treatment of Inoperable Liver Tumors
The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: In-Situ Forming Implant for TB-GMRI Discovery New Chemical Entities (INV 082255)
The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: Harnessing Continuous Liquid Interface 3D Printing to Improve Tumor-homing Stem Cell Therapy for Post-surgical Brain Cancer
The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: North Carolina Behavioral Health Evaluation and Learning Lab (NC-BELL)
The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: Deciphering the link between mRNA regulation and protein degradation in PUM1-related ataxias, PADDAS and PRCA
The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data
Data Management and Sharing Plan for: Human antibody modification of enterovirus D68 infection
The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data