2026-10-13 https://api.researchdata.se/oai-pmh

oai:researchdata.se:2023-213/1 2025-03-26 subject:ssif:5 subject:ssif:50701 subject:ssif:50999 subject:ssif:507 subject:ssif:509 principal:slug:swedish-university-of-agricultural-sciences

info:eu-repo/semantics/other http://purl.org/dc/dcmitype/Dataset https://doi.org/10.5878/4s7a-c964 Institutional networks and self-organized adaptation: Tracing the democratic architectures of climate response Institutionella nätverk och självorganiserande anpassning: Att spåra den demokratiska arkitekturen för klimatrespons https://orcid.org/0000-0001-7967-1154 https://orcid.org/0000-0002-2192-0629 https://orcid.org/0000-0001-6060-4031 Divya Gupta Suchita Shrestha Kamal Devkota Roshani Bulkunde Devanshi Singh Binod Adhikari Parbati Pandey Rajesh Rana Vijay Guleria Economic conditions and indicators Ekonomiska förhållanden och indikatorer Natural landscapes Naturlandskap Government, political systems and organisations Regering, politiska system och organisationer Social conditions and indicators Sociala förhållanden och indikatorer Social Sciences Samhällsvetenskap Human Geography Kulturgeografi Other Social Sciences not elsewhere specified Övrig annan samhällsvetenskap This project, “Institutional Networks and Self-organized Adaptation”, examines the role of rural institutions and public support systems in shaping responses to shocks and stressors in rural India & Nepal during 2020-21. We include stressors related to COVID-19, climate, health, and other challenges identified by rural households. The data includes: - Village information on demographics, infrastructure, and natural resources - Village level institutions involved in livelihood support and adaptive responses - Networks of interaction between these institutions - Household information on demographics, livelihoods, interaction with institutions, shocks & stressors, and responses to these stressors Household level data includes high-frequency repeat visits (approximately monthly) to gather detailed information about stressors and responses over the calendar year. This dataset contains 480 households nested within 16 local governmental units in the Himalayan region. This includes 8 villages in the Kangra District of India’s northern state of Himachal Pradesh and the Dhulikhel and Ramechhap Districts of east central Nepal. Through repeated visits during the calendar year, we have captured 8694 self-observed shocks and stressors, i.e. "threats" (3550 in India & 5144 in Nepal), and 5859 responses to cope or adapt to these threats (2553 in India, 3306 in Nepal). info:eu-repo/semantics/restrictedAccess IN NP Swedish University of Agricultural Sciences Sveriges lantbruksuniversitet 2025-03-26T09:56:40.497915Z eng