cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-6xpj-6f76
title: Dynamic Site Characterization of Soft Ground in Seattle: Workflow, Analysis and Results

description: Seattle is a city that underwent significant regrading as it expanded in the 1900s, resulting in fill materials with depths ranging from a few feet to over 200 feet. Many of the locations of fill material present the largest seismic hazards in the Seattle area; however, some areas are not well characterized. This project consists of a field campaign at a soft ground site near the University of Washington, Montlake Playfield Park, where site frequency was found at 43 stations across the park using the Horizontal-to-Vertical Spectral Ratio (HVSR) Method with broadband seismometers. The project examines aspects of HVSR workflow and analysis to inform future best/standard practices for future research. The H/V data in this project can be reused in multiple ways, including: (1) to compare the site frequency in other stiff soil sites to examine basin resonance, (2) to compare other processing sensitivities of HVSR applications (Geopsy, HVSRpy, etc.) and settings (3) to inform hazard mapping in the University District area, etc. This project is intended for those interested in non-invasive site characterization methods and Seattle geologic hazards.
DOI: 10.17603/ds2-bbsa-vz18
title: Expert Mental Model Interview Protocols
title: in Factors Influencing Flood Risk Management Integration in U.S. Municipal Planning: A social science research project

description: This contains the Expert Mental Model Interview and Validation Feedback protocol documents for the research project “Factors Influencing Flood Risk Management Integration in U.S. Municipal Planning: An Expert Mental Model Approach.” Interviews followed a semistructured interview protocol, and the questions asked about the concepts and themes gathered during the document reviews, following a broad-to-narrow flow. Broad questions were structured to elicit people's mental models using a "what comes to mind when you think about approach," asking the interviewees to think freely about general topics rather than respond to narrowly focused questions. These questions also used general prompts such as "Can you tell me more about that?" or "Why is that important?" to probe interviewees, encouraging them to speak at length. The design of these questions allowed topics of interest to the interviewee to more readily emerge, using language and terminology that they would normally use. Narrower questions were asked as the interview progressed to ensure coverage of relevant factors and influences of concepts from the document review. 
Interviews were all conducted virtually via Zoom videoconferencing and recorded with the interviewee's permission. Interviews were transcribed and used as the primary data in structured analyses. All interviews took approximately 60 minutes.
description: This project has two missions, each pertaining to a different stage of a mental model research project. 
The first mission consists of the IRB documentation, interview instruments, and curated transcripts used to create an expert mental model. The expert mental model documents support the research used to achieve the following objectives for the project: identify factors influencing flood risk management integration, assess the interplay of influences, explore diverse planner perspectives, and expand the understanding of flood risk management decision-making. These documents and the results of this portion of the research project supported the development of the documents in the second mission.
The second mission consists of amended IRB documentation, interview instruments, and curated transcripts used to apply and amend the expert mental model through a Providence, Rhode Island case study. This work is ongoing, and this mission will be published once it is completed.
DOI: 10.17603/ds2-by4d-2q92
title: Disaster Food Security Framework

description: This project develops a disaster food security framework and scale for measuring individual food insecurity in a disaster context. The project includes: 1) the protocol for developing and validating the framework and scale, 2) interview guide for cognitive interviews, and 3) pilot survey instrument.
DOI: 10.17603/ds2-cmhy-zr95
title: Weather and culture: A national survey of Spanish speakers in the United States

description: This dataset presents the findings of a national survey conducted among Spanish speakers across the United States, examining how individuals respond to extreme weather events in relation to their cultural and psychological factors. The online survey was administered between December 22, 2022, and January 26, 2023, and completed by 995 U.S. adults (18+), with approximately 41% identifying Spanish as their primary language. The survey explored how respondents receive weather information, their familiarity with various threats, their cultural backgrounds, and their level of disaster preparedness. It also examined weather salience, defined as "the degree to which people are psychologically attuned to and affected by weather and weather changes," to better understand how U.S. Spanish-speaking populations perceive weather-related events in their daily lives. This report provides an overview of the data collection methodology, and details about the survey instrument, along with response frequencies.
DOI: 10.17603/ds2-h0fw-2p96
title: Wave simulation data for the critical role of sea ice products for accurate wind-wave simulations in the Arctic

description: The Arctic region is experiencing significant changes due to climate change, and the resulting decline in sea ice concentration and extent is already impacting ocean dynamics and exacerbating coastal hazards in the region. In this context, numerical models play a crucial role in simulating the interactions between the ocean, land, sea ice, and atmosphere, thus supporting scientific studies in the region. This research aims to evaluate how different sea ice products with spatial resolutions varying from 2km to 25km influence a phase averaged spectral wave model results in the Alaskan Arctic under storm conditions. Four events throughout the Fall to Winter seasons in 2019 were utilized to assess the accuracy of wave simulations generated under the dynamic sea ice conditions found in the Arctic. The selected sea ice products used to parameterize the numerical wave model include the National Snow and Ice Data Center (NSIDC) sea ice concentration, the European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA5), the HYbrid Coordinate Ocean Model-Community Ice CodE (HYCOM-CICE) system assimilated with Navy Coupled Ocean Data Assimilaiton (NCODA), and the High-resolution Ice-Ocean Modeling and Assimilation System (HIOMAS). The Simulating WAves Nearshore (SWAN) model’s accuracy in simulating waves using these sea ice products was evaluated against Sea State Daily Multisensor L3 satellite observations. Results show wave simulations using ERA5 consistently exhibited high correlation with observations, maintaining an accuracy above 0.83 to the observations across all events. Conversely, HIOMAS demonstrated the weakest performance, particularly during the Winter, with the lowest correlation of 0.40 to the observations. Remarkably, ERA5 surpassed all other products by up to 30% in accuracy during the selected storm events, and even when an ensemble was assessed by combining the selected sea ice products, ERA5's individual performance remained unmatched. Our study provides insights for selecting sea ice products under different sea ice conditions for accurately simulating waves and coastal hazards in high latitudes.
DOI: 10.17603/ds2-knwt-b346
title: Natural Hazards Research Summit 2024: Large-Scale Mobile Shakers and Associated Instrumentation for Dynamic Field Studies of Geotechnical and Structural Systems

description: The poster for the NHERI Summit explains the NHERI@UTexas facility and highlights six example projects. The three main research areas of NHERI@UTexas are (1) Developing comprehensive 2D/3D subsurface geotechnical imaging for deeper, more accurate, and higher-resolution analyses, (2) Characterizing the nonlinear dynamic response and liquefaction resistance of complex geomaterials in situ, and (3) Creating rapid, in-situ methods for structural health monitoring and soil-foundation-structure interaction (SFSI) studies. The six example projects are related to these three main research areas and primarily utilize the unique tri-axial vibroseis known as T-Rex, which can generate ground motion in three different directions at the push of a button. Additionally, the vibroseis called Liquidator and Rattler are also used for projects. The recorded and analyzed data will be published on DesignSafe for reuse.
DOI: 10.17603/ds2-r12q-t415
title: UoA-UW Reinforced Concrete Wall Database

description: The database in this publication is a collection of experimental data on 142 reinforced concrete walls, including data on the wall characteristics and expermental results. The database was compiled by several researchers at the Univeristy of Auckland (UOA) and University of Washington (UW). The database consists predominantly of rectangular walls tested under cyclic protocols between 1960s to 2010s. A limited number of barbell walls, T-shaped walls and walls tested under monotonic loading protocols are also included. The walls included in the database are generally classified to have undergone a 'flexure' or 'flexure-shear' failure mechanism. Thus, with a few exceptions, 'squat' walls (aspect ratio <=1) are generally not included. The walls included in the database are 'conventionally' reinforced; thus, walls with unusual detailing (e.g., steel section reinforcement, retrofitted, repaired, unbonded reinforcement, post-tensioned etc.) are not included. The walls included in the database are those that have been published in English publications. A large number of walls is known to have been tested in Japan, these are not included in the database.
DOI: 10.17603/ds2-t051-ew98
title: North Atlantic TC size and storm tide reconstructions, 1950-2020

description: North Atlantic tropical cyclone size (outer size and radius of maximum winds) and storm tide reconstructions from 1950-2020. The reconstruction method utilizes ERA5 reanalysis data to estimate TC outer size and the complete wind profile of Chavas et al. (2015) (CLE15) to estimate TC Rmax. Then storm tides are reconstructed based on estimate sizes, Best Track information, and the hydrodynamic model ADCIRC. See Gori et al. (2023) [DOI to be added] for details.
DOI: 10.17603/ds2-wfjp-7q58
title: Natural Hazards Research Summit 2024: Impacts of Weather on Travel Behavior Using Mobile Device Location Data: Deploying  Two-Stage Machine Learning Models

description: Objective: 
This project aims to develop a framework for comparing various machine learning models, including advanced time-series models like Long Short-Term Memory (LSTM) networks, to predict the number of trips in transportation. Additionally, it implements a two-stage approach to first forecast wind speed and then analyze its impact on travel behavior.

Key Points:
•	Outdoor weather significantly affects transportation, influencing system performance and passenger behavior.
•	Adverse weather conditions can degrade service levels, leading passengers to reconsider travel choices or avoid trips altogether.
•	There are gaps in existing research, particularly in studies that explore transit and travel behavior using mobile device location data across various modes of travel and distances.
•	Current research focuses primarily on explaining travel behavior, predicting weather conditions, or estimating ridership.
Uniqueness of the Project

This project is unique because it:

•	Utilizes mobile device location data to study travel behavior across different travel modes and distances, a relatively underexplored area.
•	Combines weather forecasting with transportation analysis, offering a comprehensive approach to understanding the impact of weather on travel behavior.
•	Implements advanced machine learning techniques, specifically LSTM networks, which are not commonly used in existing transportation studies.

Target Audience:
The primary audience for this project includes:
•	Transportation and Climate Researchers: Interested in the impact of weather on travel behavior and the application of machine learning in transportation studies.
•	Policy Makers: Looking to develop informed strategies to improve transportation system resilience against adverse weather.
•	Public Transportation Authorities: Aiming to optimize service levels and manage passenger expectations during different weather conditions.
DOI: 10.17603/ds2-18xj-z678
title: Data Collection Tools for Market Basket Assessment
title: in Hurricane Florence Food Environment Study

description: Market Basket Assessment data collection tool adapted from Glanz et al. 2007. 


Glanz, K., Sallis, J. F., Saelens, B. E., & Frank, L. D. (2007). Nutrition Environment Measures Survey in stores (NEMS-S): development and evaluation. American journal of preventive medicine, 32(4), 282-289.
https://doi.org/10.1016/j.amepre.2006.12.019
description: This study explores issues related to food environment disruption following a hurricane event from a systems perspective using a quick response disaster research methodology. Through interviews and observations during the week following Hurricane Florence (2018) and follow-up data collected at 6-weeks, 4-months, and 1-year post-event, this study describes the impact of the hurricane on farmers, retail and emergency food systems, and households. Study findings shed light on how to bolster food system resilience and reduce health disparities to create more weather ready communities.
DOI: 10.17603/ds2-8h8f-5j24
title: FEMA P-2335: Database of repaired reinforced concrete frame components

description: Welcome to the Database of repaired reinforced concrete frame elements! This database is a collection of experimental programs on reinforced concrete (RC) frame elements repaired after different levels of visible damage. A key purpose of the database is to enable practising engineers engaged in RC building repairs following an earthquake to identify past research on different repair techniques easily.

This database is used in the application of FEMA P-2335 as part of the guidelines for post-earthquake assessment of RC structures.

The work forming the basis for this publication was conducted pursuant to a contract with the Federal Emergency Management Agency. The substance of such work is dedicated to the public. The authors are solely responsible for the accuracy of statements or interpretations contained in this publication. No warranty is offered with regard to the results, findings, and recommendations contained herein, either by the Federal Emergency Management Agency, the Applied Technology Council, its directors, members or employees. These organisations and individuals do not assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any of the information, product, or processes included in this publication.

Version v2 includes variables in US units
DOI: 10.17603/ds2-cdja-s865
title: Natural Hazards Research Summit 2022: Large-Scale Mobile Shakers and Associated Instrumentation for Dynamic Field Studies of Geotechnical and Structural Systems

description: NHERI@UTexas submitted a poster to the NHERI summit, explaining the capabilities and features of the facility. NHERI@UTexas contributes unique, literally one-of-a-kind, large, mobile dynamic shakers and associated instrumentation to the study and development of novel, in-situ testing methods that can be used to both evaluate the needs of existing infrastructure and optimize the design of future infrastructure, such that our communities become more resilient to earthquakes and other natural hazards.
DOI: 10.17603/ds2-h9jq-b787
title: M5.83 earthquake happening at Marmara fault in Istanbul
title: in Hercules Database Inquiry and DRM implementation in Abaqus

description: The Hercules displacement history database ("planedisplacements.hdf5") contains eight planes, 600 time steps, 251 points along the x-direction, and 126 points along the y-direction for each plane. This results in 151,804,800 lines of data in total. The responses were computed with an M5.83 earthquake happening at the Marmara fault in Istanbul, and the domain is squared by the following four coordinates (pair in longitude, latitude): (28.56748889, 40.69146389), (28.56748889, 41.14062140), (29.16387504, 41.13908351), (29.15985512, 40.68995007).
description: Hercules is a high-performance parallel octree-based finite element code for regional earthquake simulations. Our research group has developed a workflow to run rupture-to-rafters earthquake simulations with Hercules for regional simulations and Abaqus to run local simulations.

At this moment, the code that converts the results generated by Hercules to databases in HDF5 format has been built. Users can extract the response history at arbitrary locations using the provided Jupyter Notebook. With the extracted response history, users can compute the equivalent forces at nodes denoted in an Abaqus input file to implement the DRM (domain reduction method).
DOI: 10.17603/ds2-sb62-dg15
title: Structural Assessment Team
title: in RAPID: A Coordinated Structural Engineering Response to Hurricane Irma (and Hurricane Maria in the US Virgin Islands)

description: Damage was assessed primarily by members of the Structural Assessment Team, with additional contributions by members of the US Coastal Survey Team. These investigations employed primarily door-to-door Damage Assessments to document the performance of buildings, using a customized Fulcrum smartphone application.
description: The active 2017 hurricane season included multiple hurricanes impacting the United States from its mainland to the US Virgin Islands and Puerto Rico. Hurricane Irma left a path of destruction across the Caribbean, including landfall on September 6, 2017 in the British Virgin Islands, just east of the US Virgin Islands, as a Category 5 hurricane. The hurricane inflicted minor impacts on Puerto Rico as it continued through the Caribbean towards Florida. Shortly thereafter, Maria made its way through the caribbean, eventually making its US landfall on September 20 near Yabucoa, Puerto Rico as a strong Category 4 hurricane, causing considerable damage to large portions of the island from wind, storm surge and inland flooding hazards. 

As part of a wider coordinated effort to conduct assess damage resulting from this sequence of hurricanes, a reconnaissance campaign was organized for the US Virgin Islands November 10-14, 2017 to document the impacts of Irma and Maria in St. Thomas (STT), St. Johns (STJ), and St. Croix (STX). Separate efforts were organized for Florida as well as Puerto Rico, each curated as separate DesignSafe projects (PRJ-1828 and PRJ-1775, respectively). The investigations employed primarily door-to-door Damage Assessments to document the performance of buildings, using a customized Fulcrum smartphone application. At select locations, unmanned aerial surveys (UAS) were executed. The team coordinated with a larger team of coastal engineers from the United States and Japan, who conducted a comprehensive coastal survey. While this larger US-Japan team generated additional data, well beyond the scope of this RAPID, this Data Report and the corresponding DesignSafe project focuses on the data associated with structural damage assessments. Following the reconnaissance effort, a team of student Data Librarians were trained to execute a comprehensive Data Enrichment and Quality Control (DE/QC) process.
DOI: 10.17603/ds2-wy4t-cd68
title: National Central University of Taiwan Centrifuge Experiments of the Seismic Performance of Sheet Pile Walls in Liquefiable Soils
title: in LEAP-GWU-2022 Experiments:  Seismic Performance of Sheet Pile Walls in Liquefiable Soils

description: Six Centrifuge Tests (NCU-A, NCU-B, NCU-C, NCU-D1, NCU-D2, NCU-L) were conducted at National Central University of Taiwan to evaluate the seismic response of sheet-pile retaining structures in liquefiable soils for the 2022 Liquefaction Experiments and Analysis Project (LEAP-GWU-2022).
description: As part of the Liquefaction Experiments and Analysis Projects (LEAP - an international collaboration among several institutions with expertise and capabilities in centrifuge modeling, constitutive modeling, and numerical modeling) LEAP-2022 investigated the seismic performance of sheet pile walls in liquefiable soils.  The results of twenty centrifuge model tests, performed as part of a round robin test program, are shared in this archive. The datasets produced by the model tests are published as six separate experiments in this archive (one experiment per centrifuge facility). Each "experiment" includes a few model tests and each model test includes between one and three destructive shaking events. All of the tests modeled a sheet pile wall supporting a liquefiable soil (Ottawa F-65 sand and Silica sand).  The tests covered a range of ground motion intensities and a range of relative densities to define the median response and the sensitivity of the response to relative density and shaking intensity. The six centrifuge facilities involved in this test program included Ehime University (Japan), Korea Advanced Institute of Science & Technology (ROK), National Central University (Taiwan), Rensselaer Polytechnic institute (USA), University of Cambridge (UK), and Zhejiang University (PRC).  For each "experiment", a presentation file (video), prepared for LEAP-GWU-2022 workshop, is also included.  The presentations describe the centrifuge experiments in each participating centrifuge facility and the observed responses in details. A Web application for visualization of LEAP-GWU-2022 centrifuge data and their comparisons with user-generated numerical simulations is provided in the Code Project (PRJ-4245) published in Design-Safe.
DOI: 10.17603/ds2w41r
title: Elevated Structure Experiments
title: in Elevated Structure Investigation of Wave Pressures and Forces

description: Regular, TMA, and transient wave cases were run for conditions with no specimen in the flume (Model Configuration 1) and conditions when the structure was positioned in the flume, with its elevation ranging from at the base of the flume to 68 cm above the flume bed. Each folder corresponds to a different wave event (REG, TMA, or TRAN), with average/ significant wave heights and periods (REG, TMA), or representative amplitude and period (TRAN) listed for each event. Within each event folder, individual trials are named according to the trial and the respective structural air gap, ranging from at the base of the flume (a0=-0.40 m, REG/TMA or a0=-0.25 m, TRAN) to above the still water level (a9=0.28 m, REG/TMA, a9=0.43 m, TRAN)
description: A large-scale physical hydraulic model was constructed in the Large Wave Flume (LWF) at the NHERI-EF at Oregon State University. We measured water surface elevations, horizontal and vertical pressures, and horizontal and vertical forces on an idealized structure. The structure was designed so that it could be incrementally elevated above the bed, and wave conditions were generated when the structure's base was elevated from at grade to 0.28 cm above the still water level (0.40 m).