cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-tk6h-rv44
title: 2024 NHERI GSC Mini-Conference Proceedings

description: The Graduate Student Council of the Natural Hazards Engineering Research Infrastructure (NHERI GSC) has been established by NHERI and funded by the National Science Foundation of the United States. The mission of NHERI GSC is to function as a centralized hub that provides opportunities for students to develop leadership and interpersonal skills, gain practical experience, and receive exposure within the natural hazards research fields. NHERI GSC is run by volunteer graduate students from around the world, representing a variety of universities and institutes.
The second annual NHERI GSC Mini-Conference was held on May 31, 2024. The conference featured paper and poster presentations by students and researchers, facilitating the sharing of ideas and research, and providing feedback and recommendations for further development and improvement in the field of natural hazards.
This year, the conference focused on several critical themes, including Interdisciplinary Approaches to Disaster Resilience and Sustainability, Risk Assessment and Management in Diverse Environments, Innovations in Hazard Analysis and Structural Engineering, Sustainable Development and Environmental Impact Mitigation, Geotechnical and Climatic Studies for Hazard Mitigation, and Urban Planning and Flood Management. These topics are vital as we work towards innovative solutions to the challenges posed by natural hazards.
The conference accepted a total of 21 abstracts: four from the paper sessions and 17 from the poster sessions. Of these, seven were submitted by the Inter- and Intra-Disciplinary Research Challenge Groups, established by the conference organizing committee and composed of graduate students from diverse backgrounds and universities. For many participants, the 2024 NHERI Mini-Conference marked their first experience presenting at a conference and their first publication in a book of proceedings. 
The primary aim of the annual NHERI GSC Mini-Conference is to provide a platform for graduate students to establish collaborations, share their research, and receive feedback and recommendations from the natural hazards community. By doing so, the conference helps shape the future of their research and fosters a collaborative environment run by graduate students.
The abstracts from the conference are provided below.
DOI: 10.17603/h7vg-5691
title: StEER: M7.2 Nippes, Haiti Earthquake Preliminary Virtual Reconnaissance Report (PVRR)
title: in StEER - 14 August 2021, M7.2 Nippes Earthquake, Haiti

description: A magnitude 7.2 earthquake with epicenter coordinates 18.408°N 73.475°W and a depth of 10 km struck 13 km SSE of Petit Trou de Nippes in Haiti at approximately 8:29 am local time, affecting a wide swath of the Tiburon Peninsula, including the Departments of Nippes, Sud, and Grand’Anse. This earthquake resulted from an oblique reverse motion along the Enriquillo-Plantain Garden fault zone, 75 km west of the 2010 Mw 7.0 earthquake epicenter. In addition to widespread destruction in the Nippes Department, the earthquake affected major city centers on the north and south coasts (Jeremie and Les Cayes, respectively), both still recovering from 2016’s Hurricane Matthew.  

With hundreds of aftershocks in the weeks that followed, collapses and significant damage to the built environment continues to mount. As of August 22, 2021, Haiti's Civil Protection Agency reported 2,207 deaths with 344 still missing. Another 12,268 were injured. Nearly 61,000 homes have been destroyed and more than 76,000 have sustained damages in the three most affected departments. An initial rapid assessment found that 24 health facilities have been affected in the Sud, Nippes and Grand’Anse Departments. Religious institutions, which provide worship, education, and healthcare in many communities, were also significantly impacted. 

With the 14 August 2021 earthquake and its subsequent aftershocks affecting three departments of Haiti, the geographic expanse and intensity of this event are actually greater than the 2010 earthquake, exposing a more diverse cross-section of regional construction practices to strong shaking. This resulted in StEER initiating a Tier 3 response. This project encompasses the products of StEER's response to this event: Preliminary Virtual Reconnaissance Report (PVRR), Early Access Reconnaissance Report (EARR), and Curated Dataset.
description: The first product of StEER’s Tier 3 response to the M7.2 Nippes, Haiti Earthquake is this Preliminary Virtual Reconnaissance Report (PVRR), which is intended to: (1)  provide an overview of the 2021 Haiti Earthquake, particularly relating to the impact of the earthquake on regions still recovering from a major hurricane, (2) assemble information on the seismic hazard and intensity of ground motions, (3)   provide an overview of Haitian regulatory environment and construction practices, (4)     summarize the preliminary reports of damage to buildings and other infrastructure, including disruption to the community in terms of fatalities and economic losses, (5)    establish current conditions in the affected area with respect to access, and (6) provide recommendations to inform the continued study of this event by the natural hazards engineering reconnaissance community. As the product of entirely virtual reconnaissance, the PVRR is not based upon detailed field investigations by StEER.
DOI: 10.17603/ds2-0bf8-e592
title: Research Experiences for Undergraduates (REU), NSF NHERI 2024: Tensile Behavior of Unsaturated Soil via Beam Bending Tests

description: This project investigates the tensile behavior of unsaturated compacted soil using a three-point beam bending test. This approach aims to evaluate the tensile strength of soil, which is important for understanding crack propagation in levees and earthen dams due to fault movements, particularly vertical fault displacement. The calculated stress-strain data can be used to inform numerical and physical models that predict soil behavior under tensile stress conditions. This experiment is one of the few that experimentally evaluates the tensile behavior of soil, an aspect often overlooked in conventional testing that primarily focuses on shear and compressive strength. The main audiences are engineers and other geotechnical engineering researchers.
DOI: 10.17603/ds2-3zdf-0b28
title: Field Observations on Water Systems after the February 2023 Kahramanmaras Earthquakes (Mw 7.7, Mw 7.6)
title: in Field Observations and Data on Strong Motion, Geotechnical, and Infrastructure Impacts of the February 2023 Kahramanmaras Earthquakes (Mw 7.7, Mw 7.6)

description: This study documents the effects of the February 6th, 2023 Mw 7.7 and Mw 7.6 Kahramanmaraş Earthquakes on water systems across four provinces in Turkey, including Kahramanmaraş, Adıyaman, Gaziantep, and Hatay. Approximately 14 million people were affected, necessitating large-scale efforts to restore water and wastewater services. Data was collected through multiple field reconnaissance visits and meetings with local officials, focusing on damage to critical water infrastructure. The study illustrates various types of failures induced by geohazards such as ground shaking, fault displacements, landslides, and liquefaction. Specific examples of pipeline failures are highlighted, with varied cases of disruption encountered in the aftermath of the earthquakes.


description: This project contains data gathered from extensive field reconnaissance following the February 6th, 2023 Kahramanmaraş Earthquakes (Mw 7.7 and Mw 7.6), which struck along the East Anatolian Fault Zone (EAFZ). These devastating earthquakes caused over 50,000 fatalities and inflicted significant damage on more than 1.5 million structures across 11 provinces in Turkey. The data covers a wide array of observations related to strong ground motion, geotechnical impacts, structural performance, and damage to critical lifeline infrastructure, including water systems, transportation networks (bridges, roads, railways), and industrial facilities. This database is crucial for understanding the impacts of large seismic events on infrastructure systems and will serve as a valuable resource for future research in disaster resilience and infrastructure planning. This comprehensive dataset is being made available allowing researchers, engineers, and policymakers to analyze the impacts of seismic events on critical infrastructure systems. By sharing these field observations, the project aims to contribute to the development of more resilient infrastructure and improved disaster preparedness in earthquake-prone regions.
DOI: 10.17603/ds2-66km-n064
title: ConeVersion: A Software for Cone-Penetration-Test Inversion Driven by Machine Learning of Calibration-Chamber Experiments 

description: This project presents ConeVersion 1.0, a machine learning-based tool for correcting volume-averaging effects in cone penetration test (CPT) data, particularly in layered soils. These corrections are essential for improving the accuracy of geotechnical applications such as liquefaction hazard assessment and foundation design.

The model is trained on a curated database of 259 physical and virtual calibration chamber experiments simulating CPTs in homogeneous and layered deposits. This comprehensive dataset enables the model to provide more reliable estimates of true stratigraphy from measured CPT measurements.

Reusability: The software can be used to predict true CPT data from measured values for any and all CPTs conducted worldwide. 

Uniqueness:
This is the first open-access CPT inversion tool developed using a large, hybrid dataset of both physical and simulated calibration chamber tests, enhancing generalization and reliability.

Audience:
Geotechnical engineers, researchers, hazard analysts, data scientists, and educators focused on subsurface characterization, soil modeling, and machine learning applications in civil engineering.
DOI: 10.17603/ds2-ej7w-n571
title: Research Experiences for Undergraduates (REU), NHERI 2023: Downhole Seismic Direct Method at the Kawaihae Harbor in Hawaii

description: The project is about downhole seismic testing, through the direct method, that was conducted at Kawaihae Harbor to determine soil stiffness at the port. The data in this project can be reused by researchers because it provides information on liquefaction potential and how future earthquakes may affect the island. This project is unique because we used a conventional testing method, and we also did some testing at a site that few can access. The audience of my project are the researchers and people who live on the coast because they are the ones impacted by earthquakes the most. The information from this project can provide researchers with information on how to address issues caused by earthquakes.
DOI: 10.17603/ds2-fqe9-7437
title: Research Experiences for Undergraduates (REU), NHERI 2023: Assessing the Effect of 3D Printed Model Quality on Wind Pressure Distribution

description: 3D printed models are commonly used in small scale wind tunnel testing. However, print quality can vary depending on 3D printer, nozzle size, and setting chosen. This paper investigates the effect 3D print quality has on the wind pressure distribution of models. The data in this project can be reused as a foundation for a more comprehensive study that involves a complete group of models with a higher number of pressure taps to confirm results. This project is unique because currently, there are not many studies on how the effect structure roughness has on small scale wind tunnel measurements. The audience is those conducting wind research.
DOI: 10.17603/ds2-jgdv-1w43
title: 2003-2021 A Systematic Scoping Review of the Social Vulnerability Index as Applied to Natural Hazards
title: in A Systematic Scoping Review of the Social Vulnerability Index as Applied to Natural Hazards

description: We conducted a rigorous search criterion specifically looking at the “Social Vulnerability Index” in the context of natural hazards and disasters. We incorporated “Related-Search Terms” (RSTs) and “Medical Subject Headings” (MeSH) in our search in six different scholarly databases, enabling 57 different hazards and disaster terms to be in our string search criteria and an initial 817 articles to be found. We omitted duplicates, then followed guidance from JBI (previously, the Joanna Briggs Institute) for exclusion and inclusion decisions. After assessing for eligibility, 289 articles were left qualified for review. An additional 43 articles were omitted during the assessment process.

We ended with evaluating how 246 peer-reviewed articles, published online between 2003–2021, conceptualized, constructed, and applied SVIs across 20 distinct hazard and disaster contexts in 91 countries. We did this through an originally created questionnaire (provided), with each article assessed thoroughly for the corresponding answers.
description: Social Vulnerability Indices (SVIs), as an approach to identify social, economic, and political drivers that exacerbate climatic and non-climatic hazard risk and climate change, have increased in use since their inception in 2003. Our project is the most comprehensive and rigorous systemic assessment of SVIs as applied in hazard and disaster contexts to-date. Our first review (2003-2021) covers nearly 250 articles across 91 countries over an almost 20-year period.

This assessment is also unique in that it analyzes a larger, more diverse set of scholarship, but also connects content with methods and objects of social vulnerability indices. This project not only looks at the landscape of SVIs, but also the strengths and limitations of using these instruments in addressing issues related to socially vulnerable groups. Overall, we find that SVIs are increasingly used in research, however, they are widely replicated without evolving epistemic and methodological approaches.
DOI: 10.17603/ds2-mx0p-qm72
title: Questionnaire
title: in NSF#2345642 RAPID/Collaborative Research: Integrated Sociotechnical Investigations of the Compounding Impacts of Maui Wildfires fueled by Hurricane Dora

description: questionnaire we used to collect data based on Protective Action Decision Model. 
description: This project for Rapid Response Research (RAPID) project collects ephemeral data to better understand the compounding impacts of Maui wildfires and Hurricane Dora and reveal residents' behavioral responses as affected by infrastructure failures. It examines the sources of warning information, protective action decision-making, and evacuation logistics at the individual level. In the meantime, the project captures the operation states of disaster warning operations in Maui under the loss of cell and electric power services. Failures at each system are documented, as well as the cascading effect among inter-connected infrastructure systems. The research outcomes expand the existing body of scientific knowledge on warning and evacuation while advancing the understanding of informal networks and decision-making in the absence of official guidance.
DOI: 10.17603/ds2-n1w2-e050
title: Housing Inventory Projection (HIP) method
title: in Projection method for predicting spatiotemporal changes of a regional single-family housing inventory for hurricane risk modeling applications

description: This project presents a method for predicting the spatiotemporal changes of single-family housing units across a region (multi-county) for a multi-decade projection period. As a case study, we predicted the annual number of single-family housing units over a one square-kilometer grid space in North Carolina between 2020 and 2049 and compared projected hurricane impacts in 2020 versus 2049. Spatiotemporal changes in the housing inventory are estimated using the newly-developed "Housing Inventory Projection" (HIP) method by first sourcing annual county-level housing unit projections in North Carolina (see Data Depot PRJ-3303) followed by an estimation of the likely location of new housing units using a newly-developed "Allocation Model". This project provides the data processing method, the Allocation Model development method, the HIP method, and analysis. Supporting Publication: Williams, C. J., R. A. Davidson, L. K. Nozick, M. Millea, J. L. Kruse, and J. E. Trainor (2023). “Single-family housing inventory projection method for natural hazard risk modeling applications.” Natural Hazards.
description: The Housing Inventory Projection (HIP) method offers a way to predict the annual number of new single-family units across a region (multi-county) and 1 km^2 grid space. We used the state of North Carolina as a case study and data from 1990 to 2019 to fit an OLS model that predicts the likely location of new housing units across a grid space in a given year (named the "Allocation Model"). We then sourced annual county-level housing unit predictions (Data Depot PRJ-3303) in North Carolina from  2020 to 2049 and estimated the likely location of future housing unit using the Allocation Model. Users can obtain the data with the gridded single-family housing unit projection data for North Carolina between 2020 and 2049 and use it for their own analyses. Or users can apply the Housing Inventory Projection method to other regions to estimate spatiotemporal changes in regional housing inventories.
DOI: 10.17603/ds2-qm4w-fa03
title: Research Experiences for Undergraduates (REU), NHERI 2024: Using Street-Level Hurricane Damage Datasets to Advance AI-Supported Damage Detection and Characterization

description: The project aims towards reducing the time it takes to extract key features from post-disaster street-level imagery through the use of AI for damage detection and characterization, enhancing response times, and loss and resilience models. It creates a baseline for understanding and comparing the effectiveness of multiple open source VLMs for determining the presence and origin/type of damage. It examines multiple current zero-shot models for their capabilities in damage detection and characterization on street level imagery. Scientists currently working on reconnaissance and resilience for natural hazards will find this useful.
DOI: 10.17603/ds2-vnk2-wz34
title: Zone 1 Rock Avalanche Impacts
title: in Canadian Cordillera Rock Avalanche Case Histories

description: GIS mapping of the total area impacted primarily by coarse, rocky debris from rock avalanches (defined as Zone 1 deposits) utilizing published mapping, aerial and satellite imagery, topographic data, and terrain analysis. Events in this dataset include prehistoric events (maximum age approximately 10 - 14 ka) up to modern events within the Canadian Cordillera region, which have been described previously in literature, but not combined into a single, regional dataset.
description: Collection of rock avalanche case histories with impact areas mapped and basic descriptive attributes collected for each case. Events in this dataset include prehistoric events (maximum age approximately 10 - 14 ka) up to modern events within the Canadian Cordillera region, which have been described previously in literature, but not combined into a single, regional dataset. The data was used in the development of empirical relationships to estimate the runout distance and impact area stochastically for potential future events. The event description methodology and the data format are described in the READ-ME file included. This methodology and data format are proposed as a template for the description of a global dataset of events to be compiled.
Spatial data is provided as shapefiles, which can be viewed within DesignSafe using the QGIS application within the Workspace.
DOI: 10.17603/ds2-4nvk-hz85
title: Survey Instrument for Modeling Household Decision-Making for Structural Retrofit Processes

description: The purpose of this survey is to capture how homeowners move through the different stages of decision-making defined by the Precaution Adoption Process Model (PAPM) to install FORTIFIED Roofs on their homes through the Strengthen Your Roof Grant Program administered by the North Carolina Insurance Underwriting Association (NCIUA). The survey also collects information on the sociodemographic characteristics of the homeowner and the household as well as homeowner perceptions of hurricanes, the grant incentive program, and the retrofit itself. The unique contribution of this work is in breaking down homeowner retrofit decisions into stages in an effort to understand not only the total duration of the decision to retrofit (measured from the time the homeowner is unaware of the grant program until the retrofit is completed), but also how long they spend in each stage and what factors encourage homeowners to move from one stage to the next. The goal of this work is to identify where along the process homeowners get stuck and the factors that influence homeowners moving through the process to design targeted interventions that can improve homeowner participation in future programs. The survey can be reused as a starting point by other researchers looking to use PAPM or another stage-based theoretical framework to model homeowner decision-making related to structural retrofits.
DOI: 10.17603/ds2-6np4-7206
title: Hurricane Rita 2005
title: in FCMP Ground Level Hurricane Wind Data (1999 - 2008)

description: Portable weather stations were deployed along the coast and/or inland to collect wind observations. This publication provides data files of ground level wind speed and direction measured along the coast during landfall of Hurricane Rita 2005.
description: The Florida Coastal Monitoring Program (FCMP) is a collaborative experimental effort to measure ground level hurricane surface winds. This publication provides data files of ground level wind speed and direction measured along the east coast of Florida during landfall of Hurricanes: Irene 1999,  Gordon 2000, Lili 2002, Charley 2004, Ivan 2004, Jeanne 2004, Dennis 2005, Katrina 2005, Rita 2005, Wilma 2005, Gustav 2008, Hanna 2008 and, Ike 2008. Urbanists, social scientists, structural engineers, and meteorologists, among others, can use these real wind speed measurements and directions in myriad disaster research and planning projects.