MATLAB code and processed datasets available for reproducing the results in: Lukačišin, M.*, Landon, M.*, Jajoo, R*. (2016) Sequence-Specific Thermodynamic Properties of Nucleic Acids Influence Both Transcriptional Pausing and Backtracking in Yeast. *equal contributions

Social vulnerability refers to the social, economic, and cultural factors that influence access to resources and influence the ability of individuals, households, or communities to prevent, respond to, and recover from events such as wildfire (Coughlan et al., 2019; Cutter et al., 2003). Some examples of social, economic, or cultural factors that may influence social vulnerability to wildfire include income, language proficiency, cultural and psychological relationships to fire and land management, and level of trust in government (Coughlan et al., 2019). The SVI map layer developed for SB 762 identifies areas in the state that may be more vulnerable to the impacts of wildfire following the methodologies of the Centers for Disease Control (CDC) and Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index (SVI) (Centers for Disease Control Social Vulnerability Index 2018 Documentation, 2022) which was initially developed by Flanagan et al. (2011) for disaster risk management. NOTE: The SVI dataset within the Oregon Explorer tool underwent an update on February 5, 2024 to rectify inaccuracies in the original data. The initial SVI layer computations omitted data pertaining to the indicator "adults over age 65." We strongly recommend individuals who downloaded SVI data prior to this update revise their records accordingly.

Social vulnerability refers to the social, economic, and cultural factors that influence access to resources and influence the ability of individuals, households, or communities to prevent, respond to, and recover from events such as wildfire (Coughlan et al., 2019; Cutter et al., 2003). Some examples of social, economic, or cultural factors that may influence social vulnerability to wildfire include income, language proficiency, cultural and psychological relationships to fire and land management, and level of trust in government (Coughlan et al., 2019). The SVI map layer developed for SB 762 identifies areas in the state that may be more vulnerable to the impacts of wildfire following the methodologies of the Centers for Disease Control (CDC) and Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index (SVI) (Centers for Disease Control Social Vulnerability Index 2018 Documentation, 2022) which was initially developed by Flanagan et al. (2011) for disaster risk management. NOTE: The SVI dataset within the Oregon Explorer tool underwent an update on February 5, 2024 to rectify inaccuracies in the original data. The initial SVI layer computations omitted data pertaining to the indicator "adults over age 65." We strongly recommend individuals who downloaded SVI data prior to this update revise their records accordingly.

Social vulnerability refers to the social, economic, and cultural factors that influence access to resources and influence the ability of individuals, households, or communities to prevent, respond to, and recover from events such as wildfire (Coughlan et al., 2019; Cutter et al., 2003). Some examples of social, economic, or cultural factors that may influence social vulnerability to wildfire include income, language proficiency, cultural and psychological relationships to fire and land management, and level of trust in government (Coughlan et al., 2019). The SVI map layer developed for SB 762 identifies areas in the state that may be more vulnerable to the impacts of wildfire following the methodologies of the Centers for Disease Control (CDC) and Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index (SVI) (Centers for Disease Control Social Vulnerability Index 2018 Documentation, 2022) which was initially developed by Flanagan et al. (2011) for disaster risk management. NOTE: The SVI dataset within the Oregon Explorer tool underwent an update on February 5, 2024 to rectify inaccuracies in the original data. The initial SVI layer computations omitted data pertaining to the indicator "adults over age 65." We strongly recommend individuals who downloaded SVI data prior to this update revise their records accordingly.