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Architecture of an exhumed crustal-scale seismogenic source in the continental crust (Bolfin Fault Zone, Atacama Fault System, Chile)
No full textAttitude and kinematics of the different structural elements (magmatic foliations, dykes, fault surfaces, cataclasites and veins) from the Bolfin Fault Zone (Atacama Fault System, Chile
Is it really a piece of cake to label Geographical Indications with the Nutri-Score? Consumers’ behaviour and policy implications
No full textData repository. This study aims to determine the impact of the NS label on consumers’ preferences for two Protected Designation of Origin (PDO) cheeses, in comparison with generic ones
New couples during lockdown
No full textData were collected online from November 2020 to April 2021 through Qualtrics, while the recruitment took place by sharing a link accompanied by a short message introducing the research on social medias. Overall, the study lasted approximately 20 minutes. Participants took part in the research on a voluntary basis and were asked to fill a consent form, which also explained the objectives and methodology of the research, as well as that the answers were collected confidentially
Polyethism in a social caterpillar: Exploring tent construction and foraging behaviour
No full textRaw Data (Polyethism in a social caterpillar: Exploring tent construction and foraging behaviour
Death Education for Palliative Psychology
Get PDFDeath Education for Palliative Psychology (DE4PP) is a 3-year Erasmus+ project funded by the European community which aimed to create an online course to spread the importance of end-of-life psychology in Europe and to acquire the necessary specific skills to students of the health professions who will work in this field. The countries involved in this project are: Italy both with the University of Padua which is the project leader, represented by Prof. Testoni of the FISPPA department and with Servizio Nazionale Tumori (ANT) Italia Onlus. The other partner countries of the project are: Israel (University of Haifa); Austria (Alpen-Adria-Universität Klagenfurt); Romania (University of Sibiu) and Poland (John Paul II Catholic University of Lublin). In each of the 5 countries, about 20 psychology university students took part in a course on death education, palliative psychology and the use of art therapies at the end of life, consisting of 9 video lessons of about half an hour each. Furthermore, they took part in 4 workshops with students who will provide a practical demonstration of the use of arts therapies in the end of life, with photovoice, psychodrama and intermodal arts therapies. Quantitative surveys were made before and after the course on the group of students who participated and on a control group for each country. Here the data of these surveys are collected
Multiple exhumation episodes during the Cenozoic Tibetan Plateau build-up
Get PDF<Table 1 Apatite fission-track peak-fitting data and the summary of shape analysis
Table S1. Summary of the main morphotectonic events across the NE Tibetan Plateau.
Table S2. Apatite fission-track analytical data.
Table S3. Existed bedrock apatite fission-track data from the studied regions.
Table S4. Summary of the paleoelevation results from the Himalayan-Tibetan orogen.
The Table of measurement details of AFT data (including Dpar, track length, shape) and Table of Paleocurrent data are also presented in this dataset
A porous gelatin methacrylate-based material for 3D cell-laden constructs
No full textAll original data for the manuscript "A porous gelatin methacrylate-based material for 3D cell-laden constructs"
Abstract: Three-dimensional constructs are fundamental in tissue engineering and cancer modelling, generating a demand for tailored materials creating a suitable microenvironment for cell culture and amenable to be shaped through techniques such as bioprinting. Gelatin methacrylate (GelMA) is a well-known functionalized natural polymer with good printability and binding motifs allowing cell adhesion. Encapsulated cells however tend to retain a spherical shape because of the tight internal structure characterized by microscale pores. In this work, we blended GelMa with Pluronic F-127 (PLU) to modify the hydrogels’ internal porosity. We found that adding 0.5% w/v PLU resulted in a structure characterized by larger mesoscale pores surrounded by the typical microscale GelMA network. The increase in porosity also led to an increased swelling ability and a slight decrease in the Young’s modulus. All blends formed stable hydrogels both when cast in annular molds and bioprinted in more complex structures. Embedded tumor and non-tumor cells maintained high cell viability and behaved differently: neuroblastoma cells (SK-N-AS) showed a tendency to form aggregates inside the mesoscale pores, while mesenchymal stem cells (MSCs) stretched in all three dimensions, forming cell-cell and cell-ECM interactions using the free space of the large pores
Privacy notices_BIT paper
No full textDatasets related to three experiments (Study1: N = 132; Study 2: N = 128; Study 3: N = 91) with anonymous data collected for a work published on Behavior & Information Technology and part of a doctoral thesis.
The datasets of the first two studies contain the following variables:
ID (participant’s ID);
Condition (experimental condition; categorical);
Explicitness (mention of the cause of the appearance of the notice in its text; dichotomous);
Consecutiveness (consecutiveness of the notice presented to the participant; dichotomous);
Reading (response to the item asking if the participant read the notice; categorical);
Reading_coded (dichotomous);
Cause (response to the item asking the cause of the appearance of the notice; categorical);
Cause_coded (dichotomous);
Topic (response to the item asking the topic of the notice; categorical);
Topic_coded (dichotomous);
Perceived_C1 (response to the first item asking the participant’s level of perceived comprehension; 5-point Likert scale from “Strongly disagree” to “Strongly agree");
Perceived_C2 (response to the second item asking the participant’s level of perceived comprehension; 5-point Likert scale from “Strongly disagree” to “Strongly agree”);
Clarity (average score of three items asking the level of clarity of the notice; 5-point Likert scale from “Strongly disagree” to “Strongly agree”);
Control (response to the item asking the participant’s sense of control over his/her data; 5-point Likert scale from “Strongly disagree” to “Strongly agree”);
Privacy_concerns (average score of five items asking the level privacy concerns; 5-point Likert scale from “Strongly disagree” to “Strongly agree”);
Response_time_sec (time elapsed from the notice appearance to the participant’s response to the notice, in seconds);
Response (participant’s response to the notice; dichotomous);
Novelty (response to the item asking whether the participant noticed differences between the notice s/he saw and the ones s/he is used to see; dichotomous);
Habits (response to the item asking the participant’s usual response to similar notice; categorical);
Gender (response to the item asking the participant’s gender; dichotomous);
Age (response to the item asking the participant’s age coded in under30/over30; dichotomous);
Education (response to the item asking the participant’s level of education coded in HighSchool/University; dichotomous);
First_language (participant’s first language).
The dataset of the third study contains the following variables:
ID (participant’s ID);
Condition (experimental condition; categorical);
Explicitness (mention of the cause of the appearance of the notice in its text; dichotomous);
Consecutiveness (consecutiveness of the notice presented to the participant; dichotomous);
Reading (response to the item asking if the participant read the notice; categorical);
Reading_coded (dichotomous);
Generic_topic_coded (correctness of the participant’s response to the open-answer item asking the topic of the notice; dichotomous);
Specific_topic (response to the item asking the specific topic of the notice; categorical);
Cause (response to the item asking the cause of the appearance of the notice; categorical);
Privacy_concerns (average score of five items asking the level privacy concerns; 5-point Likert scale from “Strongly disagree” to “Strongly agree”);
Response_time_sec (time elapsed from the notice appearance to the participant’s response to the notice, in seconds);
Response (participant’s response to the notice; dichotomous);
Novelty (response to the item asking whether the participant noticed differences between the notice s/he saw and the ones s/he is used to see; dichotomous);
Habits (response to the item asking the participant’s usual response to similar notice; categorical);
Gender (response to the item asking the participant’s gender; dichotomous);
Age (response to the item asking the participant’s age coded in under30/over30; dichotomous);
Education (response to the item asking the participant’s level of education coded in HighSchool/University; dichotomous);
First_language (participant’s first language)