Argentine National Observatory

TOMA UNO
Not a member yet
    238455 research outputs found

    Dataset for Future Projections of Precipitation Extremes over Florida Using Dynamical Downscaling of CMIP6 CESM2 Model

    No full text
    These are the datasets from the climate simulations by using Regional Spectral Model coupled with Regional Ocean Modeling System (RSM-ROMS). The RSM-ROMS is configured at 10-km resolution and Florida Aquifer region. The integration is carried out for a period of 30 years from January 1, 1985 through December 31, 2014 in the present-day and 30 years from January 1, 2071 through December 31, 2100 under SSP585 scenario. The lateral boundary conditions are from CESM2 climate model participated in CMIP6

    Counterfactual Selection

    No full text

    Reality, role stereotypes, or war of the roses? An empirical study on the effect of reality TV dating formats on gender and relationship norms among young adults

    No full text
    The aim of the study is to empirically investigate a possible connection between the consumption of reality TV, especially dating formats, and the acceptance of gender-specific and relationship norms among young adults. Reality TV dating formats are seen as a central component of current media offerings, characterized by the staging of supposedly genuine emotions, personalities, emotional conflicts, and a strongly normative portrayal of gender roles and relationship dynamics. This explains the growing debate about the role of reality TV in the context of relevant socialization and orientation spaces for societal ideas about gender, partnership, and intimacy. The theoretical foundation of the study is provided primarily by cultivation theory and the differential susceptibility to media effects model (DSMM). Building on these approaches, it is assumed that the possible normative effects of reality TV dating formats depend on both frequency of use and individual reception experience. In particular, identification with the participants portrayed is considered a central mechanism of action, alongside the perceived realism of the content. The study will address three key points: First, it will examine whether more frequent consumption of dating and relationship formats on reality TV leads to greater acceptance of traditional gender-specific norms and relationship norms. Second, it will investigate whether identification acts as a mediating mechanism between media use and norm acceptance. Third, it will analyze whether the perceived realism of the content can be considered a mediator between reality TV consumption and normative attitudes. A standardized online survey of young adults will be used as the method. The central constructs will be measured using established and adapted scales. The hypotheses will be tested using regression, mediation, and moderation analyses. Overall, the study aims to contribute to the understanding of the normative media effects of reality TV, especially dating formats

    Biosemi-Muse Resting-state Dataset

    No full text
    This dataset contains raw resting state EEG recordings collected from the same participants using two EEG systems: a low density wearable headset (MUSE) and a research grade 64 channel system (BIOSEMI ActiveTwo). Recordings were acquired during approximately 2 minutes of resting state in a laboratory environment, including eyes open and eyes closed conditions, with condition order alternated across participants to reduce order effects. MUSE recordings are provided in .csv format and were acquired using the MuseMonitor application on Chromebook laptops. These recordings include four dry active channels with approximate locations at AF7, AF8, TP9, and TP10, sampled at 256 Hz. Prior to recording, the skin was cleaned with alcohol wipes and a thin layer of water was applied to the dry electrodes to improve signal quality. BIOSEMI recordings are provided in .bdf format and were acquired using the ActiveTwo software. These recordings include 64 gel based channels positioned according to the international 10-20 system, with electrode placement guided by standard fiducial landmarks (nasion, inion, and left and right preauricular points). Data collection followed gold standard EEG procedures, including impedance checks, use of conductive gel, and appropriately sized headcaps for each participant. Only raw EEG time series and minimal acquisition metadata are included. No preprocessing, filtering, artifact rejection, or feature extraction has been applied to the shared data. All data are anonymized and contain no personally identifiable information. The dataset is intended for reuse in methodological validation, signal processing development, and benchmarking analyses comparing wearable and research grade EEG systems. Associated publication For detailed information on data collection procedures, experimental context, and validation analyses, please refer to the following publication. Please cite this paper when using this dataset. Cannard, C., Wahbeh, H., and Delorme, A. (2021). Validating the wearable MUSE headset for EEG spectral analysis and frontal alpha asymmetry. IEEE International Conference on Bioinformatics and Biomedicine (BIBM). https://doi.org/10.1109/BIBM52615.2021.966977

    Avocet dispersal in relation to rain

    No full text

    Red Pill on YouTube

    No full text
    This repository provides a curated list of keywords used to collect YouTube data related to Red Pill discourse. The keywords were selected based on commonly used terms within this context to improve search coverage and support data collection. This material is shared to promote methodological transparency and research reproducibility and does not imply endorsement of the associated content

    Publications in Psychiatry: Modern Historical Trends and Sociodemographic Drivers

    No full text
    Psychiatric research has grown significantly in recent years, with an increase in scientific publications worldwide. However, the factors driving these trends remain insufficiently explored. This study examines the determinants of psychiatric research output across countries, focusing on economic, demographic, and development-related variables. The analysis considers the annual number of publications, Gross Domestic Product (GDP), population size, and the Human Development Index (HDI). Data were retrieved from Web of Science and considered all publications categorized under "Psychiatry" from 2000 to 2025 (N = 1,071,338 documents). A linear mixed model was employed to investigate GDP, population density, and HDI as predictors of publications output. The findings revealed that GDP and HDI are significant positive predictors of absolute and relative publication frequency in psychiatry (ps < .001; R2 marginal absolute frequency = 50.53%, R2 marginal relative frequency = 52.32%). When analyzing data by continent, GDP emerged as a positive driver of publication frequency in Africa, Asia, Europe, Oceania, and South America (all qs < .01). Additionally, HDI emerged as a key factor, particularly in Europe and Asia (all q < .001). In contrast, population density did not show a significant association with publication output in any of the continents analyzed (qs > .05). These findings indicate that greater economic resources, education levels, health care quality, and overall living standards are related to increased research production in psychiatry. This study provides a comprehensive overview of global trends in psychiatric research and their most influential factors. The results underscore the importance of economic growth and human development in fostering scientific productivity

    Ten simple rules for setting up a psychedelic study

    No full text
    This article provides guidance for researchers establishing psychedelic studies, with a particular focus on the UK research landscape

    257

    full texts

    238,455

    metadata records
    Updated in last 30 days.
    TOMA UNO
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇