cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-scgy-jg80
title: State of the Community Report for Beaumont-Port Arthur, Texas Metropolitan Area: 2020 Population and Economic Technical Report

description: This state of the community report provides information to guide planning projects that best serve the community of the Beaumont-Port Arthur (BPA) Metropolitan Statistical Area (MSA) in Texas. The primary counties in the MSA are Hardin County, Jefferson County, and Orange County. There are three major places in the MSA, Beaumont, Port Arthur, and Orange. These three cities make up the “Golden Triangle”. Located an hour east of Houston, the BPA MSA is a key player in the global energy sector. The MSA is home to the world’s largest oil refinery. The region is vulnerable to hurricanes and flooding. In order to properly assess the population and economic statistics, the report looks at the size, composition, and spatial distribution of people in the BPA MSA and how they have changed over time. By looking forward at how the population is expected to grow or decline, a planner can take the appropriate steps to advise policies that will adapt to the changes appropriately. The ethnic and racial demographics also provide a metric for planners to advocate and encourage policies that can serve and support historically underrepresented groups.
DOI: 10.17603/ds2-y3za-8092
title: College Students’ Risk Perceptions and Behaviors During Tornadic and Severe Weather Events
title: in College Students’ Risk Perceptions and Behaviors During Tornadic and Severe Weather Events

description: This quantitative study examines college students risk perceptions and protective action behaviors during the March 31l, 2023 tornadic events in Arkansas. On March 31, 2023, two EF3 tornadoes occurred in Little Rock and Wynne, Arkansas. Both regions are home to higher education institutions. This study surveyed college students in the two regions affected by the tornadic events. The NOAA Tornado Post-Event Survey was utilized for the first part of the questionnaire and other measurements were utilized for the second portion of the questionnaire that examined risk perception, risk assessment, and preparedness actions along with prior tornado experience.
description: This quantitative study examines college students' risk perceptions and protective action behaviors during the March 31, 2023 tornadic events in Arkansas. On March 31, 2023, two EF3 tornadoes occurred in Little Rock and Wynne, Arkansas. Both regions are home to higher education institutions. This study surveyed college students in the two regions affected by the tornadic events. The NOAA Tornado Post-Event Survey was utilized for the first part of the questionnaire, and other measurements were utilized for the second portion of the questionnaire that examined risk perception, risk assessment, and preparedness actions along with prior tornado experience.
DOI: 10.17603/ds2-4gey-5w16
title: Public Health Preparedness and Response Data Sources in Department of Health and Human Services Region 10

description: This compendium includes data sources that are used or could be used to inform public health preparedness and response (PHPR), specific to five activities: 1. tracking hazards 2. tracking health outcomes 3. tracking population characteristics 4. tracking facility capacity and 5. compiling essential elements of information (EEI) or minimum datasets. Each of these tasks involves at least one decision or set of decisions that PHPR staff encounter during emergencies (e.g., deciding which communities to target for vaccination campaigns). We conducted an environmental scan to identify the information and data sources that state, Tribal, local, and Territorial (STLT) partners have used to support timely decision-making across common activities.  We considered 10 common hazards that HHS Region 10 encounters (drought, earthquake, flood, hazardous materials, heat, infectious disease, landslide, tsunami, volcano, wildfire). Once we concluded our environmental scan, we sent a draft list of PHPR data sources to a regional Community of Practice, constituted of local, state, and regional partners, to review and suggest additional data and information sources. A full technical report detailing how these data sources may inform future regional data planning is available upon request.
DOI: 10.17603/ds2-9p7s-bz76
title: Natural Hazards Research Summit 2024: AI-Assisted Workflows for Automated Extraction of Building Inventory and Damage Information from NHERI RAPID Reconnaissance Data

description: This poster showcases the latest capabilities of SimCenter's BRAILS tool, which now allows automated processing of RAPID image datasets to obtain building attributes required for natural hazard studies or generate maps of damaged buildings from reconnaissance data using AI. These unique automated capabilities set BRAILS apart from traditional manual processing methods, making inventory generation and reconnaissance studies from RAPID imagery considerably easier. BRAILS and RAPID data is meant for use by anyone interested in natural hazards studies.
DOI: 10.17603/ds2-eq3q-d776
title: ISROC Dataset for: Evidence from boulders for extraordinary tsunamis along Nankai Trough, Japan
title: in Inundation Signatures on Rocky Coastlines (ISROC) Global Coastal Boulder Deposits Datasets Version 1

description: This document contains standardized data as an Excel and NC file and explanatory notes for "Evidence from boulders for extraordinary tsunamis along Nankai Trough, Japan." The project surveyed 1311 coastal boulder deposits from tsunamis on the Nankai Trough. They used hydrodynamics from a 2012 typhoon to use the boulders as tsunami proxies to prove there have been historically larger tsunamis in the trough.
description: This project is a collection of datasets on studies about coastal boulder deposits worldwide. Each document is a unique dataset that contains data from a published study. The document's name reflects the name of the associated paper, and all authors of papers are given credit in the respective document. Each dataset's data is standardized into an ISROC-formatted Excel and NC File. Also, every dataset has explanatory notes, which contain a data dictionary explaining data parameters and appropriate units, Some datasets have the raw data given to ISROC by the paper's authors. By creating a database in the public domain, ISROC hopes to promote academic collaboration in the field. ISROC, an NSF-funded research network, funds this project.
DOI: 10.17603/ds2-ptdt-6720
title: Natural Hazards Research Summit 2024: Urban resilience to disasters: how to respond to flooding impacts on critical infrastructures in urban settings? 

description: Project description: We are presenting a framework of understanding how residents adjust mobility patterns in response to extreme weather events. At the same time, it calls for more attention to the coastal people who had to relocate due to the joint impact of landslides and floods, and a framework is constructed to describe the social-environmental drivers of landslides and their possible consequences. Additionally, we raised a question on what contemporary technologies can do to disaster management.
Data reused: the data is publicly released and with long time periods, allows researchers to conduct longitudinal analyses. Researchers can also replicate this study in different contexts or with alternative methodologies, contributing to the validation and robustness of the findings. 
Audience: Researchers with related research areas, policy makers, and people affected by these events
Unique: The project integrates knowledge from various fields, such as climate science, urban planning, sociology, and public policy. This interdisciplinary perspective can provide a holistic understanding of urban resilience and how different systems interact during extreme weather events.
DOI: 10.17603/ds2-sh0e-sd85
title: Natural Hazards Research Summit 2024: Enhancing Nuclear Safety and Reliability: Identifying Human Failure Events for External Hazard Probabilistic Risk Assessment

description: This poster describes the identification of human failure events for external flood hazard mitigation actions at a nuclear power plant. Using task decompositions of these external actions alongside the Phoenix human reliability analysis (HRA) method and the Information-Decision-Action in Crew Context (IDAC) model, specific human failure events and crew failure modes were identified for each subtask in the actions. The methodology described in this project can be reused in conjunction with other task decompositions to identify weak points in operator response to flooding hazards at nuclear power plants or other complex engineering facilities. This project is unique in its application of the given HRA methods to an external flooding scenario, a traditionally under-studied area of HRA. The audience is other researchers in the HRA, probabilistic risk assessment (PRA), or natural hazards mitigation fields, and this work can be leveraged to develop targeted mitigation strategies for nuclear power plants to reduce the potential for human failure events during the mitigation of flooding hazards. Any readers are encouraged to seek more detailed information at the provided journal article link.
DOI: 10.17603/ds2-0esr-0z28
title: Natural Hazards Research Summit 2024: Alternatives for Resilient Communities: A Tool to Inform Optimal Tornado Retrofits

description: Tornadoes can devastate impacted communities, razing buildings, uprooting trees, and destroying powerlines. To effectively reduce these disasters’ catastrophic impacts, improved models are needed to help decision-makers prioritize retrofit strategies under resource constraints. The Alternatives for Resilient Communities (ARC) software, first applied to riverine flooding and seismic hazards, is here extended to address tornadic hazards. ARC is an interactive tool to aid communities and stakeholders in developing sets of viable strategies to improve community-level resilience while meeting constraints related to system interdependencies and socioeconomic considerations. This generalization of ARC allows for the optimization of tornado adaptation strategies, including the installation of tornado shelters, structural wind retrofits of buildings, and improved power system maintenance, such as strengthened poles or vegetation management. Under various potential tornado intensity scenarios and budgetary constraints, the optimal resilience enhancement strategies to minimize the expected economic losses are determined within the mathematical programming framework. This development creates a flexible and interactive tool for community use, demonstrating different trade-offs in resilience planning for tornados, and helping compare potential alternatives and prioritize investments to create more tornado-resilient communities. As a case study, the model is run and validated for the testbed city of Joplin, Missouri, which was devasted by an EF5 tornado in 2011, highlighting the strong predictive ability of the model, quantifying the magnitude of potential savings from adopting tornado retrofits, and informing the most effective actions to enhance resilience.
DOI: 10.17603/ds2-2tz2-6998
title: Digital Appendix of "Physics-based visualization of visible damage of concrete (Vivid-Concrete) in frame members in support of virtual earthquake experience"
title: in Physics-based visualization of visible damage of concrete (Vivid-Concrete) in frame members in support of virtual earthquake experience

description: Archived in this dataset is the digital appendix of "Physics-based visualization of visible damage of concrete (Vivid-Concrete) in frame members in support of virtual earthquake experience" including the OpenSees modeling scripts for the three validation examples and the Vivid-Concrete code package.
DOI: 10.17603/ds2-4w1m-7998
title: 2D OpenFOAM simulations of flow over several idealistic dune profiles using the RNG k-epsilon turbulence model
title: in Examination of analytical shear stress predictions for coastal dune evolution

description: Using computational fluid dynamics, we analyze the error trends of an analytical shear stress distribution model used to drive aeolian transport for coastal dunes, which are an important line of defense against storm-related flooding hazards. Additionally, two data-driven approaches (i.e., symbolic regression and projection-based, non-intrusive reduced-order modeling) are proposed for reducing the error while maintaining computational efficiency.
description: This dataset curates a series of 2D OpenFOAM simulations for 4 idealized dune profiles and 21 height-to-characteristic length ratios where the characteristic length is taken as the half-length at half-height.  This data was used to examine error trends of an analytical surface shear stress model commonly used to drive coastal dune evolution models.  Additionally, this data was used in the training of symbolic regression models and projection-based, non-intrusive reduced-order models.

This data accompanies a the paper published with the title "Examination of analytical shear stress predictions for coastal dune evolution".
DOI: 10.17603/ds2-c73m-nj37
title: Second-Generation Component and System-Level Seismic Fragility Models for Reinforced Concrete Bridges in California

description: California is a seismically active region that contains approximately 26,000 bridges. Historical earthquakes have caused severe damage and collapse of bridges in California, resulting in casualties, economic losses, and disruptions to transportation networks. Seismic fragility models of bridges estimate the probability of exceeding damage states at varying ground motion intensity levels. These models can be utilized for bridge vulnerability assessment, risk and resilience quantification, and to support earthquake preparedness and response planning. Recent studies have developed a new generation of seismic fragility models for bridges, demonstrating several advancements when compared with the widely used first-generation HAZUS models. These models, termed second-generation fragility functions, are derived through detailed dynamic response analyses and are differentiated at the component level, with more rational, performance-based criteria for bridge grouping and archetype sampling. This study compiles and adapts a comprehensive set of second-generation fragility models from the literature. As part of this compilation, we filtered out fragility functions with outdated capacity models and unrealistic bridge configurations, establishing uniform bridge grouping criteria, and harmonized different cross-model ground motion intensity measures and bridge component definitions. The database comprises approximately 2,300 component- and 500 system-level fragility models categorized into 26 bridge groups. It can serve as a valuable resource for researchers and practitioners conducting various related analyses to enhance the seismic resilience of bridge infrastructure in California.
DOI: 10.17603/ds2-g5dk-7548
title: Wave Induced Vertical Pore Pressure Gradients at Sandy Beaches

description: Data used for the completion of the dissertation titled "Wave Induced Vertical Pore Pressure Gradients at Sandy Beaches" by Matthew Florence from Virginia Tech. Contains data related to scour measurements around slender piles in Mexico Beach, FL following Hurricane Michael, sediment and pore pressure measurements in Duck, NC during Tropical Storm Melissa, and beach bed elevation and pore pressure measurements at Duck, NC during calm conditions. Pore pressure and sediment measurements at three beaches in Yakutat, AK (Point Carrew, Ocean Cape, Cannon Beach).
DOI: 10.17603/ds2-hy8t-0w64
title: Three-Dimensional Property Flood Risk Visualization Using LIDAR Data

description: This project will compile and share instructions to combine data types to create three-dimensional flood hazard projections to improve risk perception and risk communication. This research uses data that already exists for many municipalities to more effectively show property owners and other stakeholders the outcomes of projected flood events on their properties of interest. This allows for improved flood risk communication, showing flood projections up the sides of realistically shaped structures instead of the conventional two-dimensional maps that usually simply show a property or building footprint in or out of a flood zone.
DOI: 10.17603/ds2-16w0-8f16
title: Event Briefing
title: in StEER - 15 January 2021, Mamuju-Majene Earthquake, West Sulawesi, Indonesia

description: This project encompasses only an Event Briefing, an abbreviated StEER response mechanism that briefly summarizes the event and any key lessons that can be learned or reemphasized regarding the 15 January Mw 6.2 Mamuju-Majene Earthquake.
description: Objectives of this Event Briefing are 1) to provide details of the 15 January Mw 6.2 Mamuju-Majene Earthquake, 2) to describe damage to buildings and other infrastructure and disruption to the community in terms of fatalities, downtime, and economic losses, and 3) to list key lessons learned from this event and recommendations for further study.   Information provided herein was gathered from various websites, news channels, agencies and social media. As the product of entirely virtual reconnaissance, the Event Briefing is not based upon detailed field investigations by StEER.
DOI: 10.17603/ds2-5r81-ec41
title: Supplemental survey questionnaire 
title: in Interviews with residents of the Southeast U.S. to understand perceptions of evolving probabilistic tornado forecasts

description: The full questionnaire used for the supplemental survey that accompanied the interviews. 
description: We employed qualitative interview methods and a quantitative survey, as a follow-up to previously completed behavioral-experimental studies, to understand interpretation and use of evolving probabilistic tornado forecast information by members of the public in the southeastern U.S. This project includes all materials used for the interviews: The interview protocols with our internal notes, the graphics used, and the full questionnaire. 

Note, this study used a conditional design that included three different forecast scenarios and four different hypothetical locations. There are two different protocols, one for the scenario that included three types of forecast information and one for the scenarios that included two types of forecast information. The graphics for all scenarios and locations are also included in one file.
DOI: 10.17603/ds2-7fha-0w54
title: Utilizing Remote Sensing to Assess the Implication of Tall Building Performance on the Resilience of Urban Centers

description: Tall buildings have become a staple of the central business district in cities such as Los Angeles, San Francisco and San Diego. They facilitate increased residential and commercial development, offering higher density occupancy compared to their low-rise counterparts on the same area of land. The overall goal of this project is to develop scientific methodologies that enable the use of remote sensing to assess and enhance the seismic resilience of tall buildings in dense urban environments.
DOI: 10.17603/ds2-7r74-1021
title: Institutional Review Board (IRB) Checklist for Human Subjects Research—CONVERGE Extreme Events Research Check Sheets Series

description: This checklist provides researchers with a preliminary list of items that may be required for Institutional Review Board (IRB) approval prior to beginning research. Though IRB requirements vary by institution, this list can help researchers think through the ethical implications of their project design and implementation. About the CONVERGE Extreme Events Research Check Sheets Series: The National Science Foundation-supported CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder has developed a series of short, graphical check sheets that are meant to be used as researchers design their studies, prepare to enter the field, conduct field research, and exit the field. The series offers best practices for extreme events research and includes check sheets that are free to the research community. More information is available at: https://converge.colorado.edu/resources/check-sheets.
DOI: 10.17603/ds2-gnkb-h823
title: Research Experiences for Undergraduates (REU), NHERI 2022: Dynamic Modeling of a 10-Story Mass Timber Building Under Earthquake Excitation

description: This project is about finite element modeling of a simplified dynamic model using commercially available software (SAP2000) to accurately predict the seismic performance of a 10-story CLT rocking wall building. This modeling structure can be reused for future research on modeling techniques to create accuracy in this technique. This project is unique as there is few published literature on this topic that is available for design engineers. The audience for this project is researchers who are interested in modeling techniques of CLT rocking wall systems.
DOI: 10.17603/ds2-jatv-xk35
title: State Level Findings: Arkansas—Building State and VOAD Capacities to Protect Children in Emergencies
title: in Building State Voluntary Organizations Active in Disaster (VOAD) Capacities to Protect Children in Emergencies: An Evaluation Research Project

description: This appendix to the Evaluation Report: Building State and VOAD Capacities to Protect Children in Emergencies (https://doi.org/10.17603/ds2-1y50-6519) provides additional detail regarding research conducted in Arkansas by the Natural Hazards Center at the University of Colorado Boulder. This project was designed to evaluate Save the Children’s Building State Voluntary Organizations Active in Disasters (VOAD) Capacities to Protect Children in Emergencies Project. This project assessed how state-level VOADs can build capacity to address children’s needs before, during, and after disaster.
While the comprehensive report illustrates higher-level findings resulting from the evaluation as a whole, this state-level appendix provides descriptive and analytical findings for three of the data collection activities: 1) pre-facilitated survey; 2) participatory asset mapping; and 3) social network analysis survey. We present these findings in the order the data collection activities took place during the project period. At the beginning of each of the appendix sections, we provide a brief overview of the methods used, sample size, and data gathered before the presentation of findings. The appendix includes detailed summaries of the results, tables, charts, and other graphics to augment the primary report.
description: Between 2018 and 2020, the Natural Hazards Center at the University of Colorado Boulder conducted an evaluation entitled: Building State Voluntary Organizations Active in Disaster (VOADs) Capacities to Protect Children in Emergencies. This project was designed to assess the capacity of state-level VOADs to address children’s needs before, during, and after disasters. This project involved multi-method research in the focal states of Arkansas and Nebraska and in collaboration with members of VOADs, emergency management, Save the Children, and other child-serving organizations in both states. The evaluation team conducted participatory engagement exercises, survey research, secondary data analysis and GIS mapping, and an interorganizational network analysis survey. This project includes research instruments and the final reports produced as part of this project. The envisioned audience for these materials includes researchers, emergency managers, and professionals who work for child-serving organizations.