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This replication package contains all code, documentation and metadata for the study "ESG did not immunize stocks during the COVID-19 crisis, but investments in intangible assets did", as published in the Journal of Business Finance & Accounting. Due to contractual limitations, the data are stored in a secure location at Tilburg University and cannot be shared. Additional documentation and metadata can be found in the 'metadata' folder.

Full edition for scientific use. The COVID-19 pandemic offers unique opportunity - a natural experiment indeed - to study how people’s moral values change during times of crises. In the face of lacking evidence, we cannot take it for granted that the stability of values observed in normal times continues throughout the Corona crisis. This dataset represents the Austrian data of the first wave of a longitudinal study which is conducted in several countries all over the world. A second wave is planned in 2021, a third wave about one year after the crisis. Under the current contact restrictions, using an online panel is the only option to achieve potentially representative data of the Austrian population. The study investigates basic values (measured with classical value concepts such as the Inglehart Index and the short Portraits Values Questionnaire (by Shalom Schwartz) which is also implemented in the European Social Survey). Additional item batteries refer to concepts which are grounded in personality research (e.g. Big Five and Empathy), exposure to the crisis and perceptions of economic consequences. In the Austrian dataset several items of the Social Survey Austria about social, political and environmental attitudes are repeated as well and new concepts about visions of the future after COVID-19 are included as well. The main aim of the study is to figure out how respondents’ perception of the crisis transforms and how these value changes are linked to moral values and social and political attitudes.

Dataset accompanying the publication "Map of SARS-CoV-2 spike epitopes not shielded byglycans" published in XYZ. The dataset contains: 1. raw epitope screening scores (README file attached in the archive) 2. structure and GROMACS topology and input files for two systems: - 4x SARS-CoV-2 spike protein, glycosylated - 4x SARS-CoV-2 spike protein, non-glycosylated

Dataset with quantitative and qualitative data related to children's in care subjective wellbeing in Catalonia and their perceptions of COVID-19. It includes: (a) survey data gathered in a study requested by DGAIA (Direcció General d'Atenció a la Infància i l'Adolescència) in 2020 to know how children in care aged 10 to 17 years evaluated the lockdown and mobility restrictions and to link children's evaluations to their subjective wellbeing; (b) comparable data from 2014 related to children's in residential care subjective well-being, gathered in the framework of the International Survey of Children’s Worlds.

All are about the original data or result data in the article of "A Spatial and Dynamic Solution for how to Allocate the COVID-19 Vaccine in the Context of Limited Supply"

This database includes the raw data linked with the paper ���Reading Skills of Children with Dyslexia Improved Less than Expected During the COVID-19 lockdown in Italy��� published in ���Children���. In this paper, we reported the modification of reading speed and accuracy in children with Specific Learning Disorders during the COVID-19 lockdown in Italy (measured with word, non-word and text reading standardized tests administered before and after the ���lockdown���) and answers to an ad hoc questionnaire regarding their experience during the lockdown period. The reading assessment was performed through three tasks. The first two tasks (i.e., reading aloud a list of words and a list of non-words) were derived from the Battery for the Assessment of Developmental Dyslexia and Dysorthography-2 (DDE-2 Battery by Sartori et al.) to assess reading speed (syllables per second) and accuracy (number of errors). The third task was derived from the Assessment of Reading and Comprehension Skills for Elementary and Middle School (MT-3-Clinic tasks by Cornoldi and Carretti) and it consists of reading a text aloud to assess reading speed (syllables per second) and accuracy (number of errors). An ad hoc questionnaire provided a detailed characterization of the online school delivered during the lockdown period (March���June 2020), including which kinds of remote education were implemented (e.g., online vs. pre-recorded lessons), major challenges in managing online school (e.g., online platform, connection, family management), and parents��� perception of their children learning trajectories. The questionnaire was filled in by parents as well as by children with the help of a dedicated researcher. Between 59 to 63% of children with dyslexia did not reach the average expected increase of reading skills. According to their parents, they also showed greater social isolation and fewer worries about the pandemic and the school���s closure. Our data indicate that children with dyslexia are at increased risk of consequences on their learning potential in case of school closure. They also seem to have a peculiar psychological experience of school closure. Funding: Ricerca Corrente 2020, Ministry of Health (Italy)

Data for "Phytochemicals from AYUSH-64 screened against main protease and spike protein of Omicron variant of SARS-CoV-2 using ensemble docking and molecular dynamics approach"

This dataset was used to perform the experiments reported in the IJCB2023 paper "Can personalised hygienic masks be used to attack face recognition systems?". The dataset consists of face videos captured using the ‘selfie’ cameras of five different smartphones : Apple iPhone 12, Apple iPhone 6s, Xiaomi Redmi 6 Pro, Xiaomi Redmi 9A and Samsung Galaxy S9. The dataset contains : Bona-fide face videos: 1400 videos of bona-fide (real, non-attack) faces. In total, there are 70 identities (data subjects). Each video is 10 seconds long, where for the first 5 seconds the data subject was required to stay still and look at the camera, then for the last 5 seconds the subject was asked to turn their head from one side to the other (such that profile views could be captured). The videos were acquired indoors, under normal office lighting conditions. The data subjects were volunteers, who were required to be present during two recording sessions, which on average were separated by about three weeks. In each recording session, the volunteers were asked to record a video of their own face using the front (i.e., selfie) camera of each of the five smartphones mentioned earlier. The face data was additionally captured while the data subjects wore plain (not personalised) hygienic masks, to simulate the scenario where face recognition might need to be performed on a masked face (e.g., during a pandemic like COVID-19). Attacks: Personalised hygienic mask attacks: Video recordings of an impostor wearing personalised hygienic masks (one at a time), on which the bottom part of each data subject’s face is printed. Please note that the dataset contains 350 personalised hygienic mask attack videos, whereas the IJCB2023 paper mentioned 345 videos. This is because, for the experiments reported in the paper, we excluded the videos of the attacker wearing their own hygienic mask (since the "attacker" was one of the 70 data subjects). Print attacks: 1750 video recordings of the data subjects’ face photos printed on A4 matte paper, which was held up to the smartphone’s camera. Replay attacks: 2800 video recordings of bona-fide face videos that were replayed to the target smartphone’s camera. Different phones were paired, such that one of the pair was used to replay the bona-fide videos while the second (attacked) phone recorded the videos using its front camera. Reference If you use the data for your research or publication, please cite the following paper : Komaty, Alain, Krivokuca Hahn, Vedrana, Ecabert, Christophe and Marcel, Sébastien, Can personalised hygienic masks be used to attack face recognition systems?, in: Proceedings of IEEE International Joint Conference on Biometrics (IJCB2023), 2023

The dataset contains COVID-related claims reviewed by fact-checking organizations from around the world. The dataset was collected between January 22, 2020 and January 31, 2020 using a custom Python script by querying Google Fact Check Tools API on a daily basis using search keywords: "Coronavirus" or "COVID". Notes: 1. Only claims indexed by the Google Fact Check Tools are included. See more information about this resource at https://toolbox.google.com/factcheck/about 2. Google Fact Check Tools aggregates data from over 100 fact-checking organizations and each of them uses slightly different textual ratings, titles, and annotations. As a result, the dataset may contain links to multiple reviews of the same claim, reviewed by different fact-checkers. 3. Since the dataset contains claims in different languages, we used Google's Translation API to translate some fields of non-English claims (fields: "text_en", "claimant_en" and "textualRating_en"). We kept the original values as well.