Arizona State University Research Data Repository
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Resilience Planning Networks: Plan Analysis Methodology
No full textThis document outlines the methodology used in the Resilience Planning Networks project to analyze how the network of plans in four coastal cities are impacting resilience to flooding. This included an assessment of plan quality, plan integration scorecard, and plan cross-referencing
Lava flow eruption conditions in the Tharsis Volcanic Province on Mars
No full textThe data were collected from derived products of instruments on
NASA missions orbiting Mars accessed through the Java
Mission-planning and Analysis for Remote Sensing (JMARS) GIS
platform. Our dataset exists in the form of tables and Microsoft
Excel spreadsheets, with a data volume of <2 MB.
The dataset generated represents measured flow dimensions (i.e.,
length, width, and slope) and subsequent calculated flow
dimensions (i.e., volume and mass) for 40 lava flows observed in
the Tharsis volcanic province on Mars. The raw data can be
compared to known terrestrial data and fed through existing and
future models to constrain flow emplacement conditions. This
dataset represents one of the larger samples of observed Martian
lava flows analyzed with high resolution images (e.g., CTX and
HiRISE) and moderate to high resolution DEM data (e.g., MOLA and
HRSC).
In addition to the raw data, this dataset also contains the
results of two model applications. We used these data to obtain
eruption rate and/or rheological parameters using models
described in the main text of Peters et al. (in review) derived
from the following references (e.g., Fink and Griffiths, 1990;
1992; Hiesinger et al., 2007; Baloga and Glaze, 2008). A
combination of total volume estimated from the DEMs and
calculated eruption rate resulted in eruption durations are also
supplied in the dataset
Arizona State Immunization Information System (Immunization Data) (ASIIS)
No full textThe Arizona State Immunization Information System (ASIIS) is an immunization registry which contains immunization data on individuals. Providers are mandated under Arizona state law to report all immunizations administered to children 18 years of age and younger to the state’s health department. Although the ASIIS registry contains mostly childhood immunization data, there are some adult vaccinations, including COVID, administered at pharmacies, who report electronically to ADHS. Because of the nature of this registry, each data request will be done ad hoc by ADHS before access is provided through the Honest Broker.
To request health data: ASU Request Form</p
Building Resilience in Boston: An Analysis of City Plans
No full textThis report highlights findings from a joint research project between Arizona State University and Texas A&M University funded by the National Science Foundation. The central goal of the Resilience Planning Networks project is to assess the degree of coordination of government agencies and stakeholders engaged in resilience planning and to examine the influence of coordination on the integration of flood mitigation across multiple plans. By combining surveys, social network analysis, and the latest techniques in plan evaluation, this study provides critical and timely information about the government structures and planning processes to address long-term risk of coastal flooding. The study focuses on four different coastal U.S. cities: Boston, Massachusetts; Baltimore, Maryland; Fort Lauderdale, Florida; and Seattle, Washington.
This report presents key findings from the plan analysis component of the research project for Boston. This includes a plan quality evaluation for Boston’s network of plans, a scorecard of policies listed in the plans that would impact physical vulnerability to flooding, and an analysis of how the city’s network of plans is connected. The results reflect the content of existing city plans, and do not capture all ongoing resilience planning efforts in the cities
Replication Data for: Implications of barrier ephemerality in geogenomic research
No full textSpatially explicit population genomic data in genalex format, generated by CDMetaPop simulations. Scripts for R, SLiM and CDMetaPop used to run and calculate statistics in the genetic simulations
Supplementary material for Planning for extreme heat: A national survey of U.S. planners
No full textThis is the supplementary material for the study Planning for extreme heat: A national survey of U.S. planners by Sara Meerow and Ladd Keith
COVID Future Wave 1 Survey Data v1.0.0
No full textThis dataset is the product of the first wave of a nationwide longitudinal survey collecting information about travel-related behaviors and attitudes before, during, and after the COVID-19 pandemic. The survey questions cover a wide range of topics including commuting, daily travel, air travel, working from home, online learning, shopping, and risk perception, along with attitudinal, socioeconomic, and demographic information. Version 1.0 of the survey data contains 8,723 responses that are publicly available. The survey is deployed over multiple waves to the same respondents to monitor how behaviors and attitudes evolve over time. In addition, the data are weighted to be representative of national and regional demographics. The paper that provides a detailed description of these data is available through arXiv HERE.
Building Resilience in Baltimore: An Analysis of City Plans
No full textThis report highlights findings from a joint research project between Arizona State University and Texas A&M University funded by the National Science Foundation. The central goal of the Resilience Planning Networks project is to assess the degree of coordination of government agencies and stakeholders engaged in resilience planning and to examine the influence of coordination on the integration of flood mitigation across multiple plans. By combining surveys, social network analysis, and the latest techniques in plan evaluation, this study provides critical and timely information about the government structures and planning processes to address long-term risk of coastal flooding. The study focuses on four different coastal U.S. cities: Boston, Massachusetts; Baltimore, Maryland; Fort Lauderdale, Florida; and Seattle, Washington.
This report presents key findings from the plan analysis component of the research project for Baltimore. This includes a plan quality evaluation for Baltimore's network of plans, a scorecard of policies listed in the plans that would impact physical vulnerability to flooding, and an analysis of how the city’s network of plans is connected. The results reflect the content of existing city plans, and do not capture all ongoing resilience planning efforts in the cities
Behavioral Risk Factor Surveillance System (BRFSS)
No full textThe Arizona Behavioral Risk Factor Surveillance System (BRFSS) telephone survey has been in existence since 1984 and is partially funded by the Center of Disease Control and Prevention (CDC).
This surveillance collects data from Arizona adults aged 18 and over living at home. Although BRFSS data are available for download from the Centers for Disease Control and Prevention, these data are focused down to the county and zip code for Arizona. Data include answers to questions regarding behavioral risk factors including smoking, alcohol use, and exercise. There are also data for medical conditions like diabetes, asthma, vaccination status, and preventative screenings. The limited data sets include certain geographic identifiers at the county level, and include 5-digit zip codes, but exclude any Primary Care Areas (PCA) and nearest intersection data elements.
Data sets are available for years 2017-2021.
Additional information including questionnaires and code book available at the ADHS website for BRFSS:
ADHS AZ BRFSS Home Page
To request health data:
ASU Request Form</p
Replication Data for: Controlling the Error Probabilities of Model Selection Information Criteria Using Bootstrapping
No full textSimulation data associated with a publication in the Journal of Applied Statistics. Content addresses a simple regression case proposed by Aris Spanos and fossil trait series data from paleobiology collected by Gene Hunt, Melanie Hopkins, and Scott Lidgard. Data is formatted for use in R and is associated with the ICError R package