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Examinando Investigación por Tipo "artículo de datos"

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  • Miniatura
    Ítem
    COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic
    (2022-06-22) Blackburn, Angélique M.; Vestergren, Sara; Tran, Thao P.; Stöckli, Sabrina; Griffin, Siobhán M.; Ntontis, Evangelos; Jeftic, Alma; Chrona, Stavroula; Ikizer, Gözde; Han, Hyemin; Milfont, Taciano L.; Parry, Douglas; Byrne, Grace; Gómez López, Mercedes; Acosta, Alida; Kowal, Marta; De León, Gabriel; Gallegos, Aranza; Perez, Miles; Abdelrahman, Mohamed; Ahern, Elayne; Ahmad Yar, Ahmad Wali; Ahmed, Oli; Alami, Nael H.; Amin, Rizwana; Andersen, Lykke E.; Araújo, Bráulio Oliveira; Asongu, Norah Aziamin; Bartsch, Fabian; Bavoľár, Jozef; Bhatta, Khem Raj; Bircan, Tuba; Bita, Shalani; Bombuwala, Hasitha; Brik, Tymofii; Cakal, Huseyin; Caniëls, Marjolein; Carballo, Marcela; Carvalho, Nathalia M.; Cely, Laura; Chang, Sophie; Chayinska, Maria; Chen, Fang Yu; Ch’ng, Brendan; Chukwuorji, JohnBosco Chika; Costa, Ana Raquel; Dalizu, Vidijah Ligalaba; Deschrijver, Eliane; Aldemir, Ilknur Dilekler; Doherty, Anne M.; Doller, Rianne; Dubrov, Dmitrii; Elegbede, Salem; Elizalde, Jefferson; Ermagan Caglar, Eda; Fernández Morales, Regina; García Castro, Juan Diego; Gelpí, Rebekah; Ghafori, Shagofah; Goldberg, Ximena; González Uribe, Catalina; Alpízar Rojas, Harlen Yadira; Palacios Haugestad, Christian Andres; Higuera, Diana; Hoorelbeke, Kristof; Hristova, Evgeniya; Hubená, Barbora; Huq, Hamidul; Ihaya, Keiko; Jayathilake, Gosith; Jen, Enyi; Jinadasa, Amaani; Joksimovic, Jelena; Kačmár, Pavol; Kadreva, Veselina; Kalinova, Kalina; Kandeel, Huda Anter Abdallah; Kellezi, Blerina; Khan, Sammyh; Kontogianni, Maria; Koszałkowska, Karolina; Krzysztof, Hanusz; Lacko, David; Landa Blanco, Miguel; Lee, Yookyung; Lieberoth, Andreas; Lins, Samuel; Liutsko, Liudmila; Londero Santos, Amanda; Mauritsen, Anne Lundahl; Maegli, María Andrée; Magidie, Patience; Maharjan, Roji; Makaveeva, Tsvetelina; Makhubela, Malose; Malagón, María Galvis; Malykh, Sergey; Mamede, Salomé; Mandillah, Samuel; Mansoor, Mohammad Sabbir; Mari, Silvia; Marín López, Inmaculada; Marot, Tiago A.; Martínez, Sandra; Mauka, Juma; Moss, Sigrun Marie; Mushtaq, Asia; Musliu, Arian; Mususa, Daniel; Najmussaqib, Arooj; Nasheeda, Aishath; Nasr, Ramona; Machado, Natalia Niño; Natividade, Jean Carlos; Ngowi, Honest Prosper; Nyarangi, Carolyne; Ogunbode, Charles; Onyutha, Charles; Padmakumar, K.; Paniagua, Walter; Pena, Maria Caridad; Pírko, Martin; Portela, Mayda; Pouretemad, Hamidreza; Rachev, Nikolay; Ratodi, Muhamad; Reifler, Jason; Sadeghi, Saeid; Sahayanathan, Harishanth Samuel; Sánchez, Eva; Sandbakken, Ella Marie; Sandesh, Dhakal; Sanjesh, Shrestha; Schrötter, Jana; Shanthakumar, Sabarjah; Sikka, Pilleriin; Slaveykova, Konstantina; Studzinska, Anna; Subandi, Fadelia Deby; Subedi, Namita; Sullivan, Gavin Brent; Tag, Benjamin; Delphine, Takem Ebangha Agbor; Tamayo Agudelo, William; Travaglino, Giovanni A.; Tuominen, Jarno; Türk Kurtça, Tuğba; Vakai, Matutu; Volkodav, Tatiana; Wang Wang, Austin Horng En; Williams, Alphonsus; Wu, Charles; Yamada, Yuki; Yaneva, Teodora; Yañez, Nicolás; Yeh, Yao Yuan; Zoletic, Emina
    During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.
  • Miniatura
    Ítem
    Glacial geomorphology of the Chirripó National Park, Costa Rica
    (2019) Quesada Román, Adolfo; Ballesteros Cánovas, Juan Antonio; Stoffel, Markus; Zamorano Orozco, José Juan
    Several regions of tropical America show imprints of past glacial activity. These relict landforms can support the understanding of past climate conditions, such as during the Last Glacial Maximum (LGM), and the implications that these paleoclimatic conditions could have had on landscape change. Here, we present and analyze glacial morphologies for the Chirripó National Park in Costa Rica based on aerial imagery (1:25,000), detailed Digital Elevation Models, geomorphic mapping, as well as geomorphic assessments in the field to determine and validate landforms. This study adds valuable insights into the reconstruction of the maximum expansion of tropical glaciation during the LGM in Costa Rica and into tropical America glacial landscapes in general.
  • Miniatura
    Ítem
    Relationships between earthquakes, hurricanes, and landslides in Costa Rica
    (2019-06-03) Quesada Román, Adolfo; Fallas López, Berny; Hernández Espinoza, Karina María; Stoffel, Markus; Ballesteros Cánovas, Juan Antonio
    Landslides are a common natural hazard in Costa Rica, recurrently triggered by seismicity and extraordinary rainfall. Here, we investigate the coalescence of both processes and their ability to trigger massive landslides and debris flows in Costa Rica. The study focuses on Miravalles Volcano, affected by an earthquake of 5.4 Mw on July 2, 2016, and by intense rainfalls related to Hurricane Otto only 4 months later, on November 24, 2016. During the passage of Hurricane Otto, ~300 mm of rain were recorded in the study region. We use logistic general linear regression models (GLM) to represent the statistical relationships between the factors controlling landslides (such as epicenter distance, rainfall during Hurricane Otto, altitude, and slope). The compound 2016 event triggered 942 landslides, of which 62% were located within 3–6 km from the Bijagua earthquake epicenter, and on the eastern, southeastern, and southern slopes of Miravalles Volcano, i.e., in the zone where the density of local faults is highest and rainfall reached maximal values during the hurricane. The statistical analysis supports the existence of coupled earthquake-hurricane dynamics with higher landslide densities close to the epicenter and at sites receiving larger rainfall totals, but also showing higher slopes and altitudes. Debris flows affected an area of ~27 km2 and moved down the river systems, leaving eight casualties around the volcano and ca. 103 million US$ of losses in Upala and Bagaces. Results of this study can be useful for the assessment and understanding of geological and hydrometeorological hazards in Costa Rica and other tropical countries.
  • Miniatura
    Ítem
    Zonificación de procesos de ladera e inundaciones a partir de un análisis morfométrico en la cuenca alta del río General, Costa Rica
    (2019-06-18) Quesada Román, Adolfo; Zamorano Orozco, José Juan
    En países tropicales como Costa Rica, la incidencia de procesos de ladera e inundaciones están condicionados por las lluvias extraordinarias, el tipo de sustrato y su grado de meteorización, la sismicidad, la morfología y la inclinación del terreno. La recurrencia y magnitud de estos procesos afectan la cuenca alta del río General en términos de pérdidas económicas y muertes en sus comunidades. En este trabajo se realiza un análisis que calcula y analiza siete variables morfométricas (altimetría, inclinación del terreno, densidad de la disección, profundidad de la disección, energía del relieve, erosión potencial y erosión total). Mediante la integración espacial de las siete variables morfométricas se elaboran mapas de susceptibilidad a inundaciones y procesos de ladera. Tres categorías de susceptibilidad fueron definidas para cada peligro geomorfológico: máxima ocurrencia, ocurrencia frecuente y área potencial. Estos mapas son comparados espacialmente con la base de datos de desastres DesInventar. Un 85.15% de los reportes coinciden con las zonas identificadas como propensas a inundación y el 76.54% con las áreas susceptibles a procesos de ladera. El método morfométrico utilizado es de bajo costo, y además podría ser replicado en otras regiones tropicales y en países en vías de desarrollo como insumo de base para la toma de decisiones en la gestión del riesgo a desastres y el ordenamiento territorial.