cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-nqte-rg86
title: Conditional Neural Network Wind Pressure Statistical Estimation on Building Structures

description: This publication provides a set of neural network models for the estimation of wind pressure distribution over building surfaces. 

The models have two inputs, i.e., the wind condition vector and the coordinates vector. The wind condition vector has 6 elements [width, depth, height, roof slope, incidence wind angle, side number]. The second input is the normalized location coordinate vector on the surface of the building, which are the actual coordinates divided by the corresponding building dimensions. 

Researchers and engineers that need to know wind pressure distribution on low-rise buildings can use this model to estimate the target building wind load.

Details about parameters, use case models, and how to run the models are located in the readme file. 

The models have been trained using data from the Tokyo Polytechnic University (TPU) low-rise building wind tunnel test database. Transfer learning can be used to accommodate other buildings.
DOI: 10.17603/ds2-w927-sw86
title: Data Reuse Stories in Natural Hazards

description: With the goal of understanding the impact of the data published in DesignSafe, an interdisciplinary team regularly conducts data citation analyses and interviews researchers about their experience reusing data from the Data Depot. In this poster, presented at the NHERI Natural Hazards Summit 2022, we include a summary of the findings corresponding to the period 2019 - 2022. We highlight data reuse in traditional and in emergent natural hazards research applications, and suggest further opportunities for data reuse.
DOI: 10.17603/ds2-44gf-mg08
title: GEER Workshop - SSA 2023
title: in GEER Workshop - SSA 2023

description: RTC360 data collected at the GEER training at the SSA 2023 meeting in Puerto Rico.
description: RTC360 training dataset collected at the GEER Workshop at the 2023 SSA meeting in Puerto Rico.
DOI: 10.17603/ds2-4az4-v122
title: StEER Typhoon Merbok Preliminary Virtual Reconnaissance Report (PVRR)
title: in StEER 17 September, 2022 Typhoon Merbok

description: Typhoon Merbok struck Western Alaska on September 17, 2022, producing hurricane-force winds, higher than normal tidal ranges, and storm surges of up to 10 feet above mean high water. This event caused wind damage as well as severe riverine and coastal flooding, affecting about 21,000 people in approximately 40 cities and villages along an approximately 1,300-mile-long section of the Western and Northwestern Alaska coastline. The storm impacted Western Alaska with wind gusts as high as 91 mph and historic high water surge levels of 10.5 feet above the low-tide level in Nome, the highest since a major storm in 1974. It also brought flash flooding and erosion and impacted critical infrastructure, such as roads, airports, power infrastructure, etc. Five communities, including Hooper Bay, Scammon Bay, Golovin, Newtok, and Nome, were severely impacted by the storm.  Coastal erosion was the primary hazard causing significant damage to airport runways, berms, roadway embankments, and bridge abutments. Besides Infrastructure damage, local subsistence infrastructure including hunting and fishing camps, boats, vehicles, and equipment were damaged or destroyed by the storm, particularly near Nome and Chevak, and power outages threatened frozen subsistence foods stored for the winter. This project encompasses the products of StEER's response to this event, the Preliminary Virtual Reconnaissance Report (PVRR), which is intended to (i) provide an overview of Typhoon Merbok, particularly relating to flooding and storm surge impact on the built environment, (ii) overview the regulatory environment and construction practices in the affected area, (iii) synthesize preliminary reports of damage to buildings and other infrastructure, and provide recommendations for continued study of this event by StEER and the wider engineering reconnaissance community.
description: This Preliminary Virtual Reconnaissance Report (PVRR) is the primary product of the Level 1 response to Typhoon Merbok, intended to (i) provide an overview of Typhoon Merbok, particularly relating to flooding and storm surge impact on the built environment, (ii) overview the regulatory environment and construction practices in the affected area, (iii) synthesize preliminary reports of damage to buildings and other infrastructure, and provide recommendations for continued study of this event by StEER and the wider engineering reconnaissance community. The PVRR includes both the official report as well as a supplementary media repository containing additional imagery gathered by the VAST. As the product of entirely virtual reconnaissance, the PVRR is not based upon detailed field investigations by StEER.
DOI: 10.17603/ds2-4m8k-eh86
title: Petrolia Earthquake Event Briefing
title: in StEER - 20 December 2021, Petrolia, Mw 6.2 Earthquake

description: This project encompasses only an Event Briefing, an abbreviated StEER response mechanism that shares StEER’s impressions of the event and implications for natural hazard research and practice. Information provided herein was gathered from various websites, news channels, and USGS. Therefore, this briefing does not include insights from detailed field investigations.
description: This Event Briefing is intended to: 1) provide details of the 20 December 2021 Mw 6.2 Petrolia Earthquake, 2) summarize damage to structures and community impacts, and 3) list key lessons learned.
DOI: 10.17603/ds2-54es-sq16
title: Hydrophobicity
title: in Characterization and Geotechnical Properties of Wildfire Ashes

description: The Water Drop Penetration Test (WDPT) method measured the hydrophobicity of the samples. One drop of distilled water (average volume = 0.023 mL) was placed on a smoothed ash sample surface in a 3.8 cm diameter ring mold. Samples sieved over the No. 100 sieve were used to measure hydrophobicity, and data was taken in triplicate. The DeBano (1981) qualifications for the time required for a water droplet to penetrate the soil surface were used to classify soil water repellency: (<6s: wettable; 6-60s: slightly water repellent; 60-600s: moderately water repellent).
description: This project summarizes the geotechnical engineering properties of eight samples of wildfire ash sampled from three different wildfire sites in central and southern California. This data can be used in conjunction with data collected from others to provide a database of the physical, chemical, hydrological, and engineering properties of wildfire ashes. Extensive engineering testing of wildfire ashes is not readily available in literature, so this work will supplement the supply currently available. This work would be information and educational for those researching wildfire ashes, fire-exposed slopes, carbonate-rich soils, and manmade soils, including other types of ash. This data can be reused by those who would like reference data for further testing on wildfire ashes and for those who require reference data on soil engineering properties.
DOI: 10.17603/ds2-5fb9-gd38
title: University of Cambridge Centrifuge Experiments of the Seismic Interaction of a Liquefiable Soil with a Cantilever Retaining Wall
title: in LEAP-RPI-2020: Seismic interaction of a liquefiable soil with a cantilever retaining wall

description: One centrifuge test (CU1) was conducted at University of Cambridge (CU) to evaluate the seismic response of sheet-pile retaining structures in liquefiable soil for the 2020 Liquefaction Experiments and Analysis Project (LEAP-RPI-2020).
description: The Liquefaction Experiments and Analysis Projects (LEAP) is an international collaboration to develop a databank of high-quality centrifuge experimental data and to use this data in calibration and validation of numerical tools of soil liquefaction and associated consequences. LEAP-2020 investigated the performance and seismic interaction of a liquefiable (Ottawa sand) soil with a cantilever retaining wall. A total of twenty-three centrifuge model tests were performed at eight centrifuge facilities, as part of a round robin testing program. The experimental results of these tests are published and shared in this archive as eight separate experiments (one experiment per centrifuge facility). Each “experiment” includes a number of tests and each model test includes one or multiple destructive input excitations. The conducted tests cover a broad range of soil relative densities and input motion conditions. These tests provide valuable information on the trends and sensitivity of the soil-retaining wall response to variations in shaking intensity and soil relative density. The eight centrifuge facilities involved in LEAP-2020 program included Ehime University (Japan), KAIST (Korea), Kyoto University (Japan), National Central University (Taiwan), Rensselaer Polytechnic Institute (USA), University of California Davis (USA), University of Cambridge (UK), and Zhejiang University (China). The “Experimental Data Archive Overview” document provides an outline of the associated organization.
DOI: 10.17603/ds2-5fkk-zz72
title: A Disaster Multiplayer Online Game (DMOG) to Enhance Emergency Preparedness and Resilience in the Midwest

description: Communities face several challenges that inhibit their ability to successfully adapt to, mitigate, and respond to disasters. Emergency preparedness and response involve multiple organizations and decision makers, each with different roles and responsibilities, objectives, and limited resources. Although training and exercises can help overcome these challenges, emergency management (EM) trainers encounter other obstacles such as logistical challenges and a long preparation lead time. The vision for this research-centered pilot project will be to create, implement, and test an online serious game that focuses on disaster response. Iowa State University (ISU) and Polk County Emergency Management (PCEM) in Iowa will collaboratively develop the Disaster Multiplayer Online Game (DMOG). DMOG will bring EM decision makers together in an engaging, online interactive activity in which each player assumes a role (county emergency manager, law enforcement, fire department, emergency medical services, public works, or city official). DMOG will simulate a derecho occurring during a farmers’ market in a major city, and the players will be forced to grapple with the uncertainty and trade-offs in disaster response. The learning objectives of DMOG are to: (i) increase knowledge about roles in EM, (ii) enhance EM decision-making competencies, and (iii) foster collaboration and communication among EM decision makers. The goal of creating and evaluating DMOG is to empower EM decision makers with the skills to prioritize among competing demands and allocate resources effectively during a high-pressure, high-stakes situation, thereby enhancing their communities’ resilience. The Stage 2 pilot project will accomplish this goal by delivering a fully functional DMOG to PCEM and evaluating its effectiveness. The game will feature a complex set of decisions and consequences around the derecho scenario, the creation of a virtual environment of the farmers’ market, and the use of generative artificial intelligence (AI) to produce short (2 minutes or less) videos, audio, and text for the game.
DOI: 10.17603/ds2-65yg-nn97
title: EERI: LUGU, TAIWAN SEPTEMBER 18, 2022, Mw 6.9 EARTHQUAKE
title: in EERI: LUGU, TAIWAN SEPTEMBER 18, 2022, Mw 6.9 EARTHQUAKE

description: On September 18th, 2022, at 2:44 pm local time, a moment magnitude 6.9 earthquake struck 42.7 km north of Taitung City, Taiwan. The epicentral coordinates reported by the U.S. Geological Survey and the Taiwanese Central Weather Bureau Seismological Center were 23.159°N 121.316°E and 23.14°N 121.20°E, respectively. The USGS reported a hypocenter depth of 10.0 km, whereas the Central Weather Bureau Seismological Center reported a depth of 7.0 km. The earthquake was preceded by a magnitude 6.5 earthquake in the same area 17 hours earlier. There have been several earthquakes of magnitude 5.0 and larger in the sequence. This earthquake caused some geotechnical failures and damage to infrastructure, mainly bridges, railroads, and highways. Damage to buildings was observed, but it was primarily concentrated on older non-ductile structures and non-structural component damage. At least one building collapsed and hundreds more had some damage. The earthquake resulted in at least one death and 171 earthquake related injuries. The earthquake highlighted the vulnerabilities of older non-ductile concrete buildings in seismic regions, concrete bridges, and non-structural building components during an earthquake. This event also highlighted the importance of an earthquake early warning system. The purpose of this Preliminary Virtual Reconnaissance Report (PVRR) is to provide a summary of the characteristics of the event, the seismicity of the impacted region, and an overview of the main effects of the earthquake as collected from publicly available information.
DOI: 10.17603/ds2-9kfb-3393
title: Natural Hazards Research Summit 2022:A Decision-Support Tool for Testing Land Use Policies in the Context of Natural Hazard Risk

description: The continued demand for the construction of new houses in high-risk areas is a significant driver of society’s increasing natural hazard risk. One method for altering housing development patterns and minimizing a housing inventory’s natural hazard risk is to leverage land use policies. We present a decision-making tool under development that estimates the projected location of new single-family housing units over a 30-year horizon based on past development trends in the state of North Carolina to compare the effects of simulated land use policy options in the context of hurricane risk.  The tool first identifies areas in North Carolina where increased housing development pressure is likely to overlap with areas of high hurricane risk under a business-as-usual development scenario. Different land use policy scenarios are then evaluated by comparing the expected hurricane losses and the expected property tax revenues under each land use policy. The presented tool extends further by integrating into an existing stakeholder decision-making model to understand how changing housing construction dynamics influences decision-making among government, insurer, and homeowner stakeholder groups. The results from the tool provide insights on the long-term costs and benefits of different land use policies.
DOI: 10.17603/ds2-dacs-gk45
title: Finite Element Modeling of Cross-Laminated Timber (CLT) Panels for In-plane Bending Applications

description: This study provides a comparative analysis of two techniques for modeling cross-laminated timber (CLT) under in-plane loading. The results give insight into the behaviors of a CLT panel when compared with an isotropic panel under identical loading conditions. The data from this project can serve as a foundation for future methods of modeling CLT. This work is beneficial to researchers who are interested in learning about in-plane bending properties of CLT.
DOI: 10.17603/ds2-esth-hg97
title: Phase-resolved simulation of directionally spread waves on a laboratory-scale barred beach
title: in Simulation of directionally spread waves on a laboratory-scale barred beach

description: Phase-resolved simulation of directional spread waves
description: Numerical simulation of directionally spread waves in a laboratory-scale barred beach using a phase-resolved numerical model (FUNWAVE-TVD) to study short-crested wave breaking and transient rip current development.
DOI: 10.17603/ds2-gvvw-gt60
title: Granular column collapse with graph neural network-based simulator

description: This is training data for the graph neural network-based simulator for granular column collapse.
DOI: 10.17603/ds2-j24c-qx27
title: Bridging Underrepresented Disaster Scholars and National Science Foundation-Funded Resources

description: This project aimed to identify the barriers experienced by historically underrepresented scholars in accessing National Science Foundation (NSF)--funded hazards and disaster research infrastructure, resources, and support, as well as opportunities to dismantle barriers. This study employed qualitative, semi-structured interviews with disaster scholars with expertise in or lived experiences in diversifying the disaster and hazards research field to achieve this goal. The purpose of these informational interviews was to discuss the University of Washington RAPID Facility's proposed and ongoing efforts to broaden participation among underrepresented researchers and students, current and potential barriers to accessing the facility for URM scholars and scholars of color, and to understand the roles and actions that the RAPID facility can take to diversify participation in hazards and disaster research more broadly. Through our findings, we compiled considerations and recommendations for intentionally expanding NSF-funded resources through action-orientation approaches and targeted outreach and engagement strategies.
DOI: 10.17603/ds2-nnmp-rs27
title: Survey Questionnaire and Dataset for Mayfield, Kentucky
title: in Sheltering Behavior and Shelter Access in the Southeastern United States

description: This interdisciplinary research project examined shelter access and sheltering behavior during the December 10-11, 2021, Tornado Event, focusing on Western Kentucky. Social scientists used surveys and ethnographic fieldwork to explore the decision-making process regarding sheltering.

The data presented here corresponds to the first part of the research project in which social scientists surveyed residents (N=133) using the NOAA Tornado Post–Event Survey, modified to include additional questions on sheltering behavior, shelter accessibility, race and ethnicity, and interest in follow-up interviews. The data gathered identified the social and physical factors that constrained shelter access and use. It was then used to develop improved modeling for shelter siting and to produce recommendations for improving sheltering systems. Preliminary findings suggest a need for integrated community-engaged planning of sheltering systems. In the context of racial stratification, communication and trust building are crucial to successful system development. 

The data collected provides insights into community responses and behaviors during the December 2021 tornado in Mayfield, Kentucky, and is relevant to emergency management officials and researchers when enhancing tornado preparedness and response strategies. It can assist with improving shelter siting models and developing more effective communication plans regarding tornado warnings. Additionally, it contributes to a better understanding of the needs of diverse populations in tornado situations, which can inform future policies and practices.

description: The dataset represents an aggregate of responses obtained from the survey conducted after the December 10-11, 2021, tornado event in Mayfield, Kentucky. The location was selected in response to a call for proposals for Tornado Ready Quick Response Research in the social, behavioral, and economic sciences by the Natural Hazards Center (NHC), with support from the National Science Foundation, the NOAA Weather Program Office, the National Severe Storms Laboratory (NSSL), and the National Weather Service (NWS). The dataset details 133 targeted responses surrounding the social dynamics involved in the reception, interpretation, and response to tornado warnings and the social and physical determinants influencing sheltering behavior and access to shelters. There is no restriction to the data as it has been anonymized. See Related Works for the final report.
DOI: 10.17603/ds2-q1vy-sb09
title: Natural Hazards Research Summit 2024: Controlling higher-mode seismic responses in reinforced concrete core wall buildings using force-limiting floor-to-wall connections

description: This poster focuses on the seismic response of a three-dimensional eighteen-story reinforced concrete core wall building model with modified friction-based force-limiting connections (Modified FDs) between the floors and reinforced concrete core wall. One set of design parameters that define the predetermined discrete variable friction force-displacement response of the Modified FDs is determined using Pareto front analysis. The Pareto front analysis utilizes results from systematic parametric numerical earthquake simulations of two-dimensional building models and results from a practical force-based design method for force-limiting connections. A three-dimensional model of an eighteen-story reinforced concrete core wall building with experimentally calibrated wall piers and the Modified FDs considering the determined set of design parameters is developed. Thirteen design-level far-field bidirectional ground motions are considered as seismic excitations. The use of the Modified FDs demonstrates a reduction in the peak torsional moment and base strain responses in the wall piers. A statistical analysis indicates a reasonable range of relative
displacement between the floors and the wall piers. The use of the Modified FDs does not increase the expected post-earthquake residual drift responses in the building system. The peak floor acceleration and base shear responses are limited, attributed to the controlled inelastic shear-dominant higher-mode responses enabled by the Modified FDs.
DOI: 10.17603/ds2-t5ar-n620
title: Relational Database for Building Strong Motion Recordings used for Seismic Impact Assessments

description: Historical data plays a primary role in reconstructing building seismic responses and assessing damage
in real time. While these types of data sets exist, they are often fragmented, difficult to access, and
require significant manual manipulation on the part of the user to obtain useful information. This relational database comprises historical data from 216 buildings subjected to M > 4
earthquakes, spanning a 36-year period in California. It includes comprehensive information about the
events and accelerometer-equipped buildings, parameters that are often used in post-earthquake impact
assessments, and time-series structural response data recorded during real earthquakes. The database is
designed to facilitate dynamic updating as new events occur, and the associated data becomes available. It
is also paired with a Python-based tool that reduces the barrier to user access with a few simple inputs. The
long term goal is to expand the database to include additional seismic events and spur the development
of similar single- or multi-hazard repositories.