Institutional networks and self-organized adaptation: Tracing the democratic architectures of climate response

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).