cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-ry5r-a653
title: NSF RAPID: Hurricane Evacuations in the Age of COVID-19

description: The COVID-19 pandemic increases the complexity of planning for hurricanes as social distancing is in direct conflict with human mobility and congregation. COVID-19 presents not only urgent challenges for this hurricane season due to the likeliness of continued or heightened COVID-19 threat, but also challenges with the next hurricane season with additional waves of the pandemic. There is severe urgency to understand the impact of COVID-19 risk perceptions and the extent people are willing to risk their lives by sheltering in place rather than evacuating during severe hurricanes. This page hosts materials from a series of surveys conducted in 2020 and 2021, both pre- and post-hurricane, that address the complex decision-making during the COVID-19 pandemic. 

The information on this page can be used by researchers and emergency managers to better understand decision-making, risk perceptions, and practical issues of hurricane evacuations in conjunction with a global pandemic.
DOI: 10.17603/ds2-tzhh-7w14
title: UNDERGRADUATE RESEARCH EXPERIENCE (REU), NHERI 2019: A DATA PROCESSING FRAMEWORK FOR THE ADVANCEMENT OF HURRICANE DEBRIS MODELING

description: I spent the summer at Rice working on python scripting within an open source visualization software to automatize loading and editing large hurricane debris datasets.
DOI: 10.17603/ds2-vyqn-ms27
title: Transportation Network
title: in Seaside Testbed Data Inventory for Infrastructure, Population, and Earthquake-Tsunami Hazard

description: This dataset contains transportation infrastructure characteristics for Seaside, Oregon.
description: This project contains datasets associated with Seaside, Oregon, a multi-hazard testbed for infrastructure resilience. Seaside is located along the Oregon coast and is subject to both seismic and tsunami hazards associated with the Cascadia Subduction Zone (CSZ). The Seaside testbed was established as a multi-hazard testbed for the NIST Community Resilience Center of Excellence. The size of Seaside lends itself to parcel-level analyses of multi-infrastructure damage, loss, and recovery modeling. 


Datasets are provided for built-, natural-, and social-systems in Seaside. The built environment consists of buildings, electric power, transportation, and water infrastructures. The building inventory was constructed from tax-lot data, Google street view, and a field survey (Park et al., 2017b). The electric power network was constructed from aerial imagery. Bridges in the transportation network are from the National Bridge Inventory and roads are from the TIGER/Line database. The water network is from the city of Seaside public works (Kameshwar et al., 2019). The natural environment (hazards) are the result of a probabilistic seismic-tsunami hazards analysis (PSTHA; Park et al., 2017a). The social systems consist of results from a housing unit allocation (Rosenheim et al., 2019). Researchers, decision makers, and planners, among others, can utilize these datasets to conduct community-scale multi-hazard risk assessment, focusing on application to the coastal urban city of Seaside, Oregon.
DOI: 10.17603/ds2-x89q-y798
title: Semi-Structured Interviews with National Weather Service Forecasters Impacted by Hurricane Florence

description: Semi-structured Interviews with NWS forecasters in three Weather Forecast Offices responsible for issuing wind and water warnings related to the hurricane. These were collected through face-to-face interviews with participants, which were audio recorded and transcribed.
DOI: 10.17603/ds2-x8rr-yw04
title: Wave 1: Charleston, SC 2019 Survey
title: in Longitudinal Study of Small Business Resilience to Natural Hazards and COVID-19

description: Between 2019 and 2021, four surveys were deployed to study small business natural hazard preparedness and resilience. Wave 1 focused on Charleston, South Carolina. Wave 2a focused on all coastal North Carolina and South Carolina counties. Wave 2b was a national survey with an abbreviated version of Wave 2a. Wave 3 focused again on Charleston, South Carolina.

This longitudinal study informs our understanding of hazard-experienced small business preparation and response before, during, and after the first year of the COVID-19 pandemic.
description: Small business operators survey in Charleston, South Carolina. Deployment occurred two years after Hurricane Irma, one year after Hurricane Florence, and before Hurricane Dorian. Physical damage, preparation actions, closure length, and recovery were studied in addition to planning and future hurricane and flooding risk perceptions. The survey was conducted in person using a door to door stratified random sampling.
DOI: 10.17603/ds2hd62
title: Wall Boundary Element Test #7
title: in NEESR: Seismic Performance of Conventional and Innovative Special Structural Walls

description: Uniaxial test of a reinforced concrete wall boundary element #7
description: The project explored design and performance limits for structural walls, considering both conventional wall construction practices and innovative construction practices. A principal finding of recent earthquakes (in 2010 and 2011) and laboratory tests from 200 to 2010 is that wall performance is limited by stability and ductility capacity of the flexural compression zone. Given this critical issue, a series of studies on conventional walls and boundary elements constructed with innovative materials (HPFRCC) to establish performance limits for flexural compression failures in reinforced concrete structural walls. Tests were designed to acquire knowledge, improve construction practices, and advance simulation tools. The primary research outcomes include: 

(1)	Completing  tests of eight ordinary boundary element (OBE) prisms at UCLA. The test specimens were detailed according to ACI 318-11 21.9.6.5 with the goal of assessing failure modes and strain capacities as influenced by concrete cover, configuration of transverse reinforcement, and spacing of transverse reinforcement. Based on the tests, a relationship used to assess buckling of longitudinal reinforcement was extended to wall boundaries with typical OBE detailing. 
(2)	Completing tests on 13 special boundary element (SBE) prisms at UC Berkeley. The tests investigated the role of boundary element detailing and wall thickness. The tests indicated that the strain capacity of relatively (< 12 inches) walls with ACI 318 code compliant SBE detailing was less than one percent and that improved detailing or high-performance, fiber-reinforced concrete did not improve the strain capacity significantly. 
(3)	Conducted tests on seven, approximately one-half scale wall panels represented the base of roughly 8 to 10 story walls in a moderately tall building.  The primary test variables were the configuration and quantity of boundary transverse reinforcement, the depth of the neutral axis, and the wall thickness. The test provided essential data to develop a new, displacement-based model for predicting the drift capacity of structural walls with SBE. 
(4)	Developing code change proposals that were approved for ACI 318-14 and additional code change proposals that have been approved for inclusion in ACI 318-19. 
(5)	Creating and documenting a detailed dataset that was uploaded to DesignSafe-ci Data Depot that can be used for future reserarch.
DOI: 10.17603/ds2n398
title: Wall Boundary Element Test #6
title: in NEESR: Seismic Performance of Conventional and Innovative Special Structural Walls

description: Uniaxial test of a reinforced concrete wall boundary element #6
description: The project explored design and performance limits for structural walls, considering both conventional wall construction practices and innovative construction practices. A principal finding of recent earthquakes (in 2010 and 2011) and laboratory tests from 200 to 2010 is that wall performance is limited by stability and ductility capacity of the flexural compression zone. Given this critical issue, a series of studies on conventional walls and boundary elements constructed with innovative materials (HPFRCC) to establish performance limits for flexural compression failures in reinforced concrete structural walls. Tests were designed to acquire knowledge, improve construction practices, and advance simulation tools. The primary research outcomes include: 

(1)	Completing  tests of eight ordinary boundary element (OBE) prisms at UCLA. The test specimens were detailed according to ACI 318-11 21.9.6.5 with the goal of assessing failure modes and strain capacities as influenced by concrete cover, configuration of transverse reinforcement, and spacing of transverse reinforcement. Based on the tests, a relationship used to assess buckling of longitudinal reinforcement was extended to wall boundaries with typical OBE detailing. 
(2)	Completing tests on 13 special boundary element (SBE) prisms at UC Berkeley. The tests investigated the role of boundary element detailing and wall thickness. The tests indicated that the strain capacity of relatively (< 12 inches) walls with ACI 318 code compliant SBE detailing was less than one percent and that improved detailing or high-performance, fiber-reinforced concrete did not improve the strain capacity significantly. 
(3)	Conducted tests on seven, approximately one-half scale wall panels represented the base of roughly 8 to 10 story walls in a moderately tall building.  The primary test variables were the configuration and quantity of boundary transverse reinforcement, the depth of the neutral axis, and the wall thickness. The test provided essential data to develop a new, displacement-based model for predicting the drift capacity of structural walls with SBE. 
(4)	Developing code change proposals that were approved for ACI 318-14 and additional code change proposals that have been approved for inclusion in ACI 318-19. 
(5)	Creating and documenting a detailed dataset that was uploaded to DesignSafe-ci Data Depot that can be used for future reserarch.
DOI: 10.17603/ds2-8h8f-xe60
title: Onslow Community Resilience Testbed

description: Onslow Testbed is a virtual community resilience testbed developed based on the community of Onslow County, NC, and using publicly available data in the United States. A virtual testbed is an environment with enough supporting architecture and metadata to be representative of one or more systems such that the testbed can be used to (a) design experiments, (b) examine model or system integration, and (c) test theories. This project includes all supporting documents, metadata, algorithms, Python scripts, Jupyter notebooks, datasets, and GIS files procured or generated for developing the testbed environment.
The vision of this project is to establish a fully-developed testbed through collaboration among researchers from different disciplines and institutions and foster sharing and reuse of developed testbeds.
DOI: 10.17603/ds2-bmrf-y737
title: Shinnecock Inlet Uniform Wind Drag Parameter Scan
title: in Parameter Estimation with Maximal Updated Densities - ADCIRC Shinnecock Inlet

description: This projects contains data and notebooks necessary for running ensembles of ADCIRC simulations for varying wind drag parameters for a simulated extreme weather event near the Shinnecock Inlet located in the Outer Barrier of Long Island, NY, USA. The notebooks and configurations within reproduce the ADCIRC studies conducted in https://github.com/mathematicalmichael/mud/blob/main/notebooks/MUD-ADCIRC-Figs.ipynb.
description: In this study, ADCIRC is configured to run using a test mesh based on the Shinnecock Inlet on the Outer Barrier of Long Island, NY, USA. External forcing for the model is given by tidal forcing reconstructed from the TPXO9.1 harmonic tidal constituents using OceanMesh2D, constant air pressure of 1013 millibars, and free surface stress from winds computed from a 0.25 deg hourly CFSv2 10-m wind fields for a period of 16 days (29 December 2017 - 31 January 2018). Winds are modified for the purposes of the numerical experiment to simulate a more extreme (Category 4) event, with winds scaled radially down to zero from the point of interest, i.e. the center of the inlet (see figure in figures folder). 

Water elevation at an artificial recording station inside the inlet was recorded over a period of 14 days (1 January 2018 - 14 January 2018) at 3 hour intervals for different wind drag parameter samples. These water elevation values and wind drag parameters, compiled into a singular dataset, is then used to solve inverse problems.
DOI: 10.17603/ds2-m3ag-2d15
title: Hydrodynamic modeling of runoff, coastal, and compound flood processes during Hurricane Florence across the Carolinas

description: We hindcasted Hurricane Florence flooding across North and South Carolina (Carolinas) using the hydrodynamic model (SFINCS) with high-resolution meteorologic data and coastal water level output from an ocean recirculation model (ADCIRC) used as inputs.  We conducted a detailed performance evaluation of the model comparing to water level gages, high water marks, as well as property-level records of insured flood damage. We use the model to simulate peak water levels for three scenarios including runoff, coastal, and compound processes and attribute peak flood extent and building exposure to the different drivers. Our model results are useful for assessing large-scale flood impacts to Hurricane Florence and they can be used for comparison with other hydrodynamic or data-driven models outputs. To learn more about this data, see our study... XXX
DOI: 10.17603/ds2-ngmf-7d09
title: Measured waves and bed profile change

description: The bed level change caused by solitary waves passing a pile breakwater was measured. The correlation between the number of solitary waves and the scour hole depth is useful for the foundation design of similar pile breakwaters.
DOI: 10.17603/ds2-q74s-4548
title: Codification of Wind-Induced Loads on Low-Rise Irregular Shaped Buildings

description: Pressure distribution on different structures and buildings is an important factor to understand when these face extreme wind events. Using a smaller atmospheric boundary layer (ABL) wind tunnel in the Laboratory for Wind Engineering Research (LWER) at Florida International University (FIU), five models were tested with an approximate of 350 pressure taps each at a 1:100 scale. This research will evaluate the wind-induced pressures on buildings with irregular shapes. The models tested were Rectangular, S-, L-, C-, and T-shaped. The project will compare how irregular structures are affected compared to the rectangular model. The data from this project could be used to give recommendations on building codes. The shapes of residential structures are changing with time and it's important to understand them.
DOI: 10.17603/ds2-s0g7-ed50
title: Research Experiences for Undergraduates (REU), NHERI 2022: Post-Tornado Historic Masonry Building Reconstruction

description: Models of 12 historic masonry buildings damaged by an EF4 tornado were created by combining Unmanned Aerial Vehicle Structure-from-Motion (UAV-SfM) and Light Detection and Ranging (LiDAR) point clouds. The building models can be used for a myriad of purposes, such as structural analysis. Additionally, the point cloud combination workflow can be applied to other projects.
DOI: 10.17603/ds2-vjg0-v342
title: Paleotempestology annotated bibliography

description: This project investigates pre-1850 hurricanes that impacted Eastern Florida in attempt to extend the National Hurricane Center's Hurricane Database (HURDAT), which only includes hurricanes from 1850-present. Here is an annotated bibliography.
DOI: 10.17603/ds2-28b0-yf60
title: Field Investigation of Marsh Condition and Forcing Mechanisms
title: in Monitoring and modeling sound-side erosion near Oregon Inlet, North Carolina to support feasibility level transportation planning

description: NCDOT Research Project 2020-09 “Monitoring and modeling sound-side erosion near Oregon Inlet to support feasibility level transportation planning” used field observations, numerical modeling, fragility curves, and engineering analysis to (1) assess the hydrodynamics and erosion processes near Oregon Inlet, (2) estimate the potential for roadway failure based on marsh conditions, and (3) evaluate potential erosion mitigation options for NCDOT.
description: This study was funded by NCDOT Research Project 2020-09 “Monitoring and modeling sound-side erosion near Oregon Inlet to support feasibility level transportation planning” used field observations to assess the hydrodynamics and erosion processes near Oregon Inlet. Field measurements were collected over three years to inform the site conditions and the erosion processes at the marsh shoreline and the adjacent flood channel, and a classification system was developed to visually assess the erosion condition of the marsh shoreline.
DOI: 10.17603/ds2-5zmz-ma80
title: Wind Load and Performance of Elevated Structures

description: Participated in a research project that investigated the wind load on elevated structures. The investigation with numerical analysis and testing of a model at the Wall of Wind facility. Previous testing and numerical analysis of the elevated house showed that pressure was higher than conventional houses. In this project, contiued analysis and model testing was used to confirm previous findings and investigate elevated houses further. Information that follows will highlight the summer process.
DOI: 10.17603/ds2-bdn4-ex52
title: User needs assessment for equitable and actionable earthquake information

description: The purpose of this study is to understand the informational 
needs of existing and potential users of currently available and future USGS earthquake 
information products. We are eager to learn what pieces of information are most useful 
to support the work of various diverse groups and organizations, including those whose 
work considers and addresses social inequities and vulnerabilities associated with 
earthquakes.
DOI: 10.17603/ds2-c9kw-n302
title: Repair methods and costs for earthquake-damaged building components in New Zealand

description: The University of Canterbury and industry affiliates have collaborated to develop repair costs for earthquake-damaged building components in New Zealand, current in 2021. The deliverables for this project have been provided electronically and comprise two Excel spreadsheets and a PDF:

"NZ_repair_time_&_cost_master_20210119.csv" provides a summary of component damage states, repair methods, repair costs, and repair time.
"NZ_repair_time_&_cost_breakdown_20210119.csv" provides a breakdown of costs for each repair method.
"Technical description.pdf" provides a technical description of key aspects of the work undertaken.

The repair methods have been developed on the basis that they are approaches that are deemed to be commonly adopted by the industry. They are intended to be suitable for loss-estimation research purposes and should be not interpreted as recommended methods for any specific “real world” application.
DOI: 10.17603/ds2-f9kt-fm93
title: Business Survey Instrument, January 19, 2018: Wave 2

description: This collection archives instruments and planning materials related to the business survey for Wave 2 of the Lumberton, NC Field Study. The business component of Wave 2 was newly added after Wave 1 based on recognized needs in the field and in support of on-going research in the Center for Risk-Based Community Resilience Planning, a NIST-funded Center of Excellence, including modeling efforts on business interruption and recovery. This instrument was designed to gather information on Lumberton business through in-person surveying of the owner or manager. The survey was either read and conducted in person by the survey or dropped off to be picked up at a date during the field study. The specific goals of the survey were to (1) Collect data on initial damage after Hurricane Matthew that was not systematically captured during Wave 1; (2) Gain documentation on how long businesses were disrupted and/or closed considering different initial damage levels, ownership structures, industry, available recovery resources, and accessibility issues; (2) Better understand what interdependent infrastructure and services contributed to business closures and re-openings; and (3) Obtain business-level data on a range of factors expected to influence business interruption and recovery, including recovery policy and finance programs.
DOI: 10.17603/ds2-fcqv-ck93
title: Natural Hazards Research Summit 2022: A Coupled Geomechanics-Reliability Framework to Evaluate Closure and Damage Risk for Highway Assets Subject to Geohazard Impacts

description: Natural hazards are arguably the main threat to infrastructure in many countries. Transportation infrastructure (like roads and railroads) is particularly vulnerable to geohazards such as landslides and earth mass movements. The closure or damage of transportation infrastructure can have dire consequences, not only from an economic standpoint but also from a community resilience perspective, as it may isolate populations already distressed by a natural hazard, and make aid efforts costlier and challenging. To address this problem, we propose a new framework to analyze transportation infrastructure subject to geohazard impacts. The framework combines 3D physical modeling at large scale with reliability analysis to quantify probabilities of earthen slope failure, threshold values for failure triggers, and the reach and impact of the destabilized earthen mass on the infrastructure. We showcase the capabilities of our framework with a hypothetical highway model and demonstrate that the framework is capable of providing quantitative assessment of risk for road closure and damage. This framework can be further developed into a key modeling tool to help plan, design, and operate transportation infrastructure that is reliable and resilient from economic, sustainability, and societal standpoints.
DOI: 10.17603/ds2-gqvg-qx37
title: DoriaNET: A visual dataset from Hurricane Dorian for post-disaster building damage assessment

description: DoriaNET is a synthetic dataset for unmanned aerial vehicle (UAV)-based post-hurricane building damage assessment. DoriaNET consists of damage state annotations in accordance with FEMA Hurricane Model HAZUS-MH MR3 Manual. For each building, a damage state is manually assigned by closely matching the quantitative damage description of that building. Overall, DoriaNET provides the following information: (1) global coordinates (latitude and longitude) of each building appearing in the aerial footage; (2) local coordinates with pixel-level building boundaries (masks) in video frames; (3) wind-induced damage state for each building in accordance with FEMA Manual; (4) number of stories; and (5) an ordinal score representing damage annotation effort (easy, moderate, or difficult) for each labeled building.
DOI: 10.17603/ds2-n0vb-kk56
title: Next Generation Multi-Hazard Levee Risk Assessment - High Water Events

description: This project contains high water event scenarios for the Next Generation Multi-Hazard Levee Risk Assessment project. The project was created for the purpose of publishing the high water event data.