cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-63wh-ky28
title: JWEIA_S83-building kept at the center of the vortex chamber
title: in Assessment of Tornado Loading on Low-Rise Buildings Using Computational Modeling and Tornado Simulator Testing

description: The data provided is for swirl ratio S=0.83. Multiple cells are developed. The building is kept at r=0. The generated pressure on the building is compared with VorTech measurements.
description: Tornadoes are a type of severe windstorm that repeatedly have caused devastating damage to the built environment in the United States. Low-rise buildings, in particular, historically have been among the structures that are the most vulnerable to tornado damage. Failures of this type of structure are often responsible for the social and economic losses caused by tornadoes, including the loss of life and property, as well as the interruptions to many critical societal functions. The goal of this collaborative research at the University of Arkansas (UARK) and Texas Tech University (TTU) is to further advance the fundamental understanding of tornadic loading on low-rise buildings. The outcomes of this research can be used for the assessment of building performance in tornadoes, the design of new tornado-resistant buildings, and the development of retrofitting strategies to improve the performance of existing buildings in tornadoes. The research project will be integrated with educational and outreach activities at both UARK and TTU to raise public awareness of the impact of natural hazards, including tornadoes, on the built environment and society in general. In this project experimentally measured vortex flow data and measured pressure data from TTU tornado simulator are used to validate the CFD model developed from UARK. Researchers can use the method developed to validate their model as well as to apply to other wind related problems. In addition those who wants to learn to use open source software openFoam, learning materials are developed and published in the educational meeting. The case files are available in the github web page for any  one to learn & run: https://github.com/rpsuark . The vortex chamber case file is available at: https://github.com/timusv5977
DOI: 10.17603/ds2-7gcm-ga59
title: Damage Investigation
title: in A Detailed Damage Investigation of an Instrumented Ductile Reinforced Concrete Building with Precast Hollow-core Floors Following the 2016 M-7.8 Kaikoura Earthquake

description: The dataset represents one of the most complete datasets and in-depth investigations publicly available of an instrumented building subjected to a design-level earthquake. This dataset contains detailed damage data from a ductile reinforced concrete building with prestressed precast hollow-core floors. The building investigated was located in Wellington, New Zealand. The damage investigation was conducted in 2019. 

Such detailed damage data makes this dataset a valuable resource to researchers investigating different aspects and parameters related to the seismic performance of ductile reinforced concrete moment-framed structures. Specifically, the dataset could be used to validate non-linear dynamic numerical models of reinforced concrete moment frames, improve assessment criteria for buildings within this archetype, correlate structural demands derived from both instruments and numerical models to observed damage levels, artificial intelligence training database for concrete damage related algorithms, and further data interrogation of laser scans.
description: The damage investigation was conducted to provide detailed damage data to address a number of objectives primarily relevant to the seismic behavior of precast prestressed hollow-core floor slabs supported by ductile reinforced concrete moment frames. The data collected included acceleration records from fourteen strong-motion recording instruments within the building and one on-site (free-field) instrument recording local site response, detailed crack maps of the floors, 3D laser scans of the bare damaged structural system, and high-resolution photos of beam-column and floor-column joints damage.
DOI: 10.17603/ds2-93d1-nc41
title: Probability of liquefaction
title: in REGIONAL PROBABILISTIC LIQUEFACTION HAZARD MAPPING FOR THE SACRAMENTO – SAN JOAQUIN DELTA

description: Evaluate the probability of liquefaction for multiple earthquake scenarios
description: Using an approximately 750 square kilometer pilot study area, this project seeks to address the variability of liquefiable soil deposits by developing 3D Gaussian process (GP) models of groundwater depth, geologic deposit classification, soil liquefaction susceptibility classification, and penetration resistance. The GP models converge to the observed values at each investigation location, but then quantify the uncertainty at locations in-between investigations. We utilize a probabilistic extension of the site-specific geotechnical liquefaction triggering methods developed by USGS staff and Greenfield Geotechnical with the GP models to calculate the probability of liquefaction triggering at any 3D point within the project domain. We then numerically integrate the 3D liquefaction models to estimate the probability of liquefaction ground damage for multiple earthquake scenarios.

The overall goal of the project is to demonstrate that site-specific liquefaction methods may be implemented into regional liquefaction analyses using geospatial statistics. The project utilizes 3D geostatistical models previously developed by Greenfield and Grant (2020) to predict the probability of liquefaction ground damage on a closely spaced grid throughout the pilot study area. The geospatial models are trained using maximum likelihood estimation with available subsurface data, such that the models converge to site-specific methods at locations where sufficient subsurface data is available. At locations where limited data is available, the model then approaches the regional median values, effectively unifying site-specific geotechnical methods near borehole locations with the regional composite-average method developed by Real and Knudsen (2010).
DOI: 10.17603/ds2-9bg2-xd96
title: Dataset of a Fire-induced collapse test on an existing building with a truss roof by Tongji University
title: in Fire-induced collapse test  on an existing building with a truss roof by Tongji University

description: The dataset is about a fire-induced collapse on an actual  building with a truss roof.The dataset contains the test truss's thermal and structural responses, the fuel's mass loss, the heat release rates, and the videos of the entire test. The data can be used to validate the accuracy of the numerical models and other cutting-edge theories and techniques.
description: This is a dataset of a fire-induced collapse test on an existing building with a truss roof. The dataset contains the thermal and structural responses of the tested building, the mass loss of the fuel, the heat release rates, and the videos of the entire test.  The test data  is of great significance for further investigations on fire-induced building collapse and performance-based design for fire safety of buildings. This dataset can be used to validate the existing temperature distribution models and develop deep learning models in structural fire engineering. Moreover, the dataset can validate and develop some cutting-edge theories and techniques in structural fire engineering, such as the approaches for the early-warning collapse of structures exposed to fire and the synchronous non-contact acquisition of structural deformation in fire.
DOI: 10.17603/ds2-9qbx-n796
title: V1.0 Empirical Landslide Runout Relationships, compiled from international examples, for various landslide types

description: Estimating the potential runout distance of a landslide and it associated impacted area is an important component of landslide hazard and risk analysis. Empirically-based methods rely on the debris inundation area of past landslides of a given type, to estimate the anticipated debris inundation area of future landslides of a similar type This can be done using empirical runout analysis methods, where the travel distance of landslide is proportional to its fall height. The tangent of the ratio of the fall height (ΔH) to horizontal runout distance (L) between the crest of the source zone and toe of the deposit, known as the “Fahrböschung”, has subsequently been correlated with landslide volume (V) for different landslide types. Here we present datasets of ΔH/L, Fahrböschung, and volume data for 1,100 published examples, compiled from the international literature, with different site conditions (e.g., source geology, local topography, grain-size of failed material, water content of source material and erodible material along travel path, vegetation, buildings, the presence (or not) of mitigation measures). This includes rock avalanches, volcanic debris avalanches, (dry and wet) debris avalanches, and debris flows. The data is presented as csv. files containing information on the landslide location, reference source, volume and all available empirical runout data. The data can be plotted, as relationships between ΔH/L and volume, with the variability in the data used to derive probability of runout exceedance lines. Analysis of this data can provide landslide researchers and practitioners simple tools to conduct a forward-looking empirical-probabilistic runout analysis for debris avalanches, debris flows, and rock avalanches.
DOI: 10.17603/ds2-g97h-cc57
title: Tornado Simulator Implementaton using Open-Source Software 'OpenFOAM'
title: in Implementation of Tornado Simulator Model in Open-Source Software - 'OpenFOAM'

description: In this simulation, the wind field of a tornado vortex is simulated.
description: In this project, the primary goal is to develop a computational framework to simulate the wind field of tornado vortex.
DOI: 10.17603/ds2-gha4-x973
title: Children and the COVID-19 Pandemic

description: This project explores how children and youth below the age of 18 sought to help others during the COVID-19 pandemic. We used the data included in this publication to answer research questions such as “How did children in the U.S. help others and themselves during the COVID-19 pandemic?” and “What issues were children in the U.S. concerned about during the COVID-19 pandemic?” This project includes a data dictionary and a dataset that summarizes a unique collection of 115 news articles focused on the helping behaviors and key concerns of children in the U.S. during the pandemic. The articles appeared in print or online news sources between 2020 and 2023. We searched for media coverage using terms such as “kids,” “help,” “volunteer,” “actions,” “pandemic,” and “COVID-19.” Over time we refined and added additional search terms based on emergent themes such as “raising money,” “making personal protective equipment,” and “helping with homework.” We limited our searches by language (English), geography (the United States), and time (an article had to be published between January 2020, when the virus was first detected in the U.S., and November 2023, when we ended our searches for the dataset). When we identified news coverage that fit our definition of helping behaviors, we saved a PDF of the article (all PDFs are available upon request from the PI). Information included in this dataset is summarized as follows: (1) article citation and link; (2) article synopsis; (3) information on the child or children featured in the article; (4) summary of key helping behaviors or other actions taken by children during the pandemic; (5) information on who children were trying to help or what type of change they were attempting to influence; (6) quotes from children or youth; and (7) notations of photos, videos, or links to additional resources. The envisioned audience for this data includes social science and public health researchers, journalists, and policy makers with an interest in children and the pandemic, specifically, or disasters and altruism, more broadly.
DOI: 10.17603/ds2-gk8y-ar18
title: Natural Hazards Research Summit 2022: 3D Real-Time Hybrid Simulation Studies of a Tall Building with Novel Tuned Mass Friction Dampers for Wind Hazard Mitigation

description: A new semi-active friction device using band brake technology, termed the Banded Rotary Friction Damper (BRFD),
has been fabricated at the NHERI Lehigh experimental facility. The device is a second-generation BRFD where its
semi-active mechanism is achieved using two electric actuators. The BRFD generates a variable damping force as
a linear function of the input force provided by the electric actuators, where the force amplification ratio (FAR) is
equal to about 70. The FAR is defined as the ratio of BRFD damping force output-to-electric actuator force input.
The presentation will present the results of a study using real-time hybrid simulation (RTHS) to investigate the
performance of the BRFD’s in mitigating wind vibrations on a forty-story building. The building consists of steel
braced frames that are augmented by outrigger systems about the minor axis of the floor plan. Nonlinear viscous
dampers are placed in the outriggers to control floor accelerations about the minor axis of the building. In the
orthogonal direction only braced frames exist, consequently, the structure’s response is susceptible to increased
floor accelerations and inter-story drift. A Tuned Mass Friction Damper (TMFD) is therefore placed at the roof and
positioned in order to suppress the building’s response in the orthogonal direction to the outrigger system. First, the
details of the prototype of the BRFD are presented. Second, details relating to the TMFD consisting of a moving
mass, a stiffness element, and the BRFD are introduced. Lastly, details of the RTHS study and the results are
presented. The building, the moving mass, and the stiffness element in the TMFD are part of the analytical
substructure while the BRFD and large-scale nonlinear viscous dampers form multiple experimental substructures
for the RTHS. The creation of the analytical model involved discretely modeling each of the members of the building
using nonlinear elements, with the combined analytical and experimental substructures representing about 2000
degrees of freedom. The explicit, unconditionally stable dissipative Modified KR-Alpha integration algorithm is used
to accurately integrate the equations of motion. Real-time online model updating is used to update parameters of
some of the nonlinear viscous dampers that are modeled via the analytical substructure. The building’s
accelerations and inter-story drift from RTHS from controlled and uncontrolled cases are compared, where these
cases correspond to the structure with and without the TMFD, respectively. Results show that the TMFD produces
significant wind vibration reduction on both maximum lateral floor accelerations and inter-story drift.
DOI: 10.17603/ds2-gs8m-jp89
title: Research Experiences for Undergraduates (REU), NHERI 2023: Analysis of Vertical Accelerations of Mass Timber Floor Systems

description: The purpose of this research is to investigate the dynamic behavior of the mass timber floor systems in a six-story building. The research investigates responses to factors of self-weight, ramp acceleration, and actual ground motion using an Extended Three-Dimensional Analysis of Building Systems (ETABS) model. What sets this project apart is its focused examination of mass timber floor systems and their response to vertical acceleration—an area that hasn't been extensively explored. The primary audience includes structural engineering and architecture researchers, civil engineers, architects, and construction professionals interested in sustainable building materials and earthquake-resistant design sustainable construction practices.
DOI: 10.17603/ds2-gw4r-cm44
title: Digital Dataset of Recorded Significant Durations and Bayless et al. (2024) Rupture Directivity Parameters

description: This project provides the digital dataset used in USGS Award G23AP000377 for developing adjustment models to the Afshari and Stewart (2016) and Pinilla-Ramos et al. (2023) median significant duration models for rupture directivity effects. The data is a spreadsheet with the NGA-West2 (Ancheta et al., 2014) record sequence number (RSN), earthquake ID (EQID), the mean significant duration (D5-75) of the two as-recorded horizontal components, the NGA-West2 rupture distance, and the Bayless et al. (2024) rupture directivity parameter (fG').
DOI: 10.17603/ds2-jvpf-3518
title: A geospatial inventory of critical coastal infrastructure in the Caribbean: Methodology and dataset

description: Hurricanes and sea level rise pose significant threats to infrastructure and their critical services. Planning for a disaster-resilience future requires high-resolution, standardized data. We created a standardized approach for identifying, inventorying, and quantifying infrastructure at risk from natural hazards. This dataset used arial imagery publicly available through ESRI during the period 2015-2020 and digitized coastal critical infrastructure facilities (seaports, airports, energy facilities, and wastewater facilities) and their assets (e.g., buildings). It establishes a standardized database of critical infrastructure facilities in the Caribbean that can be used to conduct risk assessments, urban planning, or tracking land use change over time. This study used ESRI World Imagery, a cost-effective source of high-resolution imagery for detailed mapping. ESRI World Imagery provides one meter or better satellite and aerial imagery worldwide, including 15m Terra Color Imagery at small and mid-scale (1~591M down to 1:72k) and 2.5 SPOT Imagery (~1.288k to 1:72k) and is typically captured within the last three to five years. An imagery scale range of 1:1,000 - 1:8,000 was used, allowing for the digitization of larger features and parcel boundaries while ensuring smaller features could be captured accurately. The project includes the following two components: (1) Standard Operating Procedure for Heads-Up Digitizing Critical Coastal Infrastructure - To standardized an approach for geospatially inventorying critical coastal infrastructure, we developed SOP for Digitizing Critical Coastal Infrastructure in ArcMap. Heads-Up Digitizing is a method of manually tracing geographic features using aerial imagery. The SOP lays out clear guidelines and directions for mappers to develop similar geospatial data. (2) Geospatial dataset - We identified 386 critical coastal infrastructure facilities across 28 Caribbean nations/territories, with over 19,000 ha of coastal land dedicated to critical infrastructure. This includes 71 Airports, 98 Energy Facilities, 170 Seaports, and 47 Wastewater Treatment Facilities. 
For additional information, see the published paper and project website listed in "related work" above.
DOI: 10.17603/ds2-k1mc-5111
title: FEM-ML integrated workflow (API) for identifying the best low-d.o.f. surrogate models
title: in Identifying best low-d.o.f. surrogate models for complex structures by combining FEM and ML

description: The proposed FEM-ML integrated workflow (API) was developed to determine the best low-d.o.f. surrogate models for complex structures. The surrogate models calibrated by the proposed FEM-ML integrated workflow compute significantly faster, allowing us to analyze many more individual buildings for each region.
description: The use of high-fidelity structural models for the assessment of the effects of an earthquake on a region are too computationally demanding, especially if uncertainties in design, construction, etc. are considered. Thus, surrogate models that have many fewer degrees-of-freedom, greatly reduced computational demands, and provide accurate simulation of essential behavior, are required. These surrogate models compute significantly faster, allowing us to analyze many more individual buildings for each region.

This project built and utilized an integrated Finite Element (FE) and machine learning (ML) approach for the identification of best types of and parameters for low-d.o.f. models.
DOI: 10.17603/ds2-nn2e-wm79
title: Horizontal-to-Vertical Spectral Ratio Database Access and Analysis

description: Frequency-dependent horizontal-to-vertical spectral ratios (HVSR) of Fourier amplitudes from three-component recordings can provide information on one or more site resonant frequencies and relative levels of amplification at those frequencies. Such information is potentially useful for predicting site amplification. We have generated a public repository of HVSR site data. As of March 2021, the database consists of 1725 HVSR measurements at 1303 sites worldwide. This tool provided here interacts with the data to perform two operations that are anticipated to be useful for research of site response effects in which HVSR is used for site characterization: 1) identify if a site has HVSR peaks; and 2) for sites where peaks are present, establish attributes of the peaks such as peak frequency and amplitude. The tool consists of a Jupyter Notebook and an R script, which implement procedures described in a companion report.
DOI: 10.17603/ds2-yfmt-0950
title: Storm Surge Machine Learning Model

description: The machine learning model that can rapidly predict peak storm surges in the Chesapeake Bay of the United States is developed. This model can be used for forecasting and hazard assessment.
DOI: 10.17603/ds2-ys6d-bp28
title: Peak EDP distribution from nonlinear time-history analysis for three story concrete moment resisting frame exposed to different stochastic ground motion models

description: This dataset provides information (samples) for the distribution of peak inter-story drift and absolute acceleration EDPs for a three-story concrete moment-resisting frame exposed to three different stochastic ground motion models. Its creation follows the formulation used in Kyprioti and Taflanidis (2021) and in Kyprioti and Taflanidis (2022) where the objective was calibration and validation of stochastic emulation models for earthquake engineering applications.  
The structure is the three-story concrete MRF building described in detail in the attached PDF file, and the EDPs correspond to all inter-story drifts and all absolute floor accelerations (six quantities of interest in total). Three different stochastic ground motion models are examined, as detailed in the attached PDF file. The dataset corresponds to samples for the EDPs for different structural and seismic hazard inputs. These samples represent the aleatoric (ground-motion to ground-motion) variability for the EDP distribution.