cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-2r4p-t818
title: Investigation of Semi-Active Controlled Friction Dampers for Seismic Hazard Mitigation

description: This project investigates the seismic performance of the Banded Rotary Friction Damper (BRFD) in semi-active mode through numerical simulations in MATLAB.  This data can be used in support of the use of friction dampers in semi-active mode, as well as a template for further testing with Real Time Hybrid Simulation.  This project is also the first to simulate the BRFD since its fabrication.  The findings are meant to be presented to engineers at the undergraduate and professional level.
DOI: 10.17603/ds2-atw6-7z47
title: King County COVID-19 Community Study (KC3S)
title: in King County COVID-19 Community Study

description: The speed and impact of COVID-19’s spread across the globe was unprecedented in modern history. In the absence of medical countermeasures, communities around the world resorted to a variety of non-pharmaceutical interventions (NPIs), including school closures, travel restrictions, cancellation of mass gatherings, closure of small businesses, and “stay at home orders,” to control the disease. 

King County, WA, was among the first US communities affected by COVID-19. The King County COVID-19 Community Study (KC3S) aimed to characterize, in real time, how NPIs impacted the lives and wellbeing of individuals, families, and communities, as well as the ways in which individuals, families, and communities adapted and coped.  KC3S used a convenience sampling approach to collect data from King County, WA residents in March – May 2020 through a web-based survey. KC3S complimented several national and international surveys distributed in response to COVID-19 by providing individual accounts of impacts and resilience in the context of community-specific COVID-19 impacts and implementation of NPIs. 

Here, we share the KC3S protocol and dataset, including: study background, objectives, study design, KC3S website materials in English and Spanish, KC3S survey instruments in English and Spanish, and a de-identified dataset and data dictionary. These materials can be used by other researchers interested in capturing experiences in other communities during the pandemic or in the context of other disasters. No personally identifiable information is shared.
description: KC3S is a cross-sectional, web-based survey of 793 English- and Spanish-speaking adult King County residents that was conducted from March 18, 2020 – May 30, 2020, using voluntary response sampling. The survey included close- and open-ended questions on participant demographics, wellbeing, protective actions, and COVID-19-related concerns, including a freeform narrative response to describe the pandemic’s individual-, family- and community-level impacts and associated coping strategies.
DOI: 10.17603/ds2-bee5-9z65
title: Large-Scale Aerodynamic Testing of Slab-on-Grade, Elevated, and Partially Elevated Low-Rise Buildings
title: in Aerodynamics of Elevated and Partially Elevated Houses

description: This research project aims at addressing a current research gap related to the wind performance of elevated structures and their vulnerability during strong windstorms and hurricanes. The project investigates, using large scale wind tunnel testing, the aerodynamics of elevated, partially-elevated, and slab-on-grade residential buildings.
description: The investigation focused on the aerodynamic performance of low-rise buildings with different configurations: slab-on-grade, elevated, and partially elevated. These building types were studied to understand how their height and the presence of enclosed spaces beneath them affect wind-induced forces, especially in hurricane-prone coastal regions. The research aimed to examine the wind pressure distribution on different surfaces, including the roof, walls, and floor, as well as evaluate the effectiveness of existing design provisions under extreme wind loads.
The testing was conducted at the Wall of Wind (WOW) facility at Florida International University, using large-scale wind tunnel experiments. The researchers created 1:10 scale models of typical gable-roof low-rise residential buildings. These models were tested under various wind directions, ranging from 0° to 180°. The models included fully elevated, slab-on-grade, and partially elevated buildings, with varying enclosed areas beneath the elevated floors. Wind pressure coefficients were recorded using pressure taps distributed across the building models, providing detailed data on how different elevations and building configurations responded to wind loads.
The findings revealed that elevated buildings experience significantly higher wind-induced loads compared to slab-on-grade structures. Partially elevated buildings, in particular, demonstrated increased vulnerability, with wind loads on the roof and walls rising by over 80% in some cases. The research also identified underestimations in the current ASCE 7-22 provisions for calculating wind loads on elevated buildings, especially regarding peak pressure coefficients on floors, roofs, and walls. Based on these results, the authors proposed modifications to the existing provisions to account for the higher wind pressures observed, enhancing the accuracy of wind load predictions for elevated structures.
The data from this research offers valuable insights for improving building codes and standards, especially those outlined in the ASCE 7-22 provisions. The findings can be applied by engineers and architects to design more resilient elevated structures that better withstand hurricane conditions. Additionally, this data can serve as a foundation for further studies on the aerodynamics of elevated and partially elevated buildings, contributing to the development of safer and more wind-resistant buildings in coastal areas. This research plays a crucial role in enhancing the codification of wind loads, helping to reduce the vulnerability of elevated structures to wind-induced damage.
DOI: 10.17603/ds2-jtb9-9w60
title: Adhesive Test
title: in Seismic protection of artefacts with adhesives and base-isolation

description: Direct tension and shear tests were carried out to determine the strength and stiffness properties of various adhesive dots, including Lascaux 303HV, Rhoplex N-580, and other mixtures. A summary file is provided and the data has been cleaned and processed. This test data can be useful for researchers who are interested in the adhesives' material properties or want to develop further experimental test.
description: This study investigates one of the commonly used methods in New Zealand which is by applying adhesives to anchor small to medium sized artefacts. Guidance is provided to determine the size and number of adhesives required for an artefact to survive design-level earthquake shaking. In addition, for large objects where adhesives alone are insufficient, a simple cost-effective base-isolation platform is proposed to reduce the seismic vulnerability of the artefacts. This platform is designed such that it can be assembled and positioned by museum conservators or private collectors. The adhesive material properties are determined through direct tension and shear experimental tests. The friction properties of the base-isolated substrate are determined through unidirectional quasi-static and cyclic load tests.
DOI: 10.17603/ds2-qr96-ak47
title: An Introduction to Perishable Data in Hazards and Disaster Research—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet summarizes published research on the topic of perishable data collection. It provides a brief overview of how perishable data is defined, how it can be ethically collected, and what its value is in hazard and disaster contexts. About the CONVERGE Extreme Events Research Check Sheets Series: The National Science Foundation-supported CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder has developed a series of short, graphical check sheets that are meant to be used as researchers design their studies, prepare to enter the field, conduct field research, and exit the field. The series offers best practices for extreme events research and includes check sheets that are free to the research community. More information is available at: https://converge.colorado.edu/resources/check-sheets.
DOI: 10.17603/ds2-sdv5-f289
title: Addressing Challenging Situation in Field Research—CONVERGE Extreme Events Research Check Sheets Series

description: Conducting field research—which often involves traveling to unfamiliar areas, visiting people’s homes, and interacting with strangers—inevitably results in some uncertainty about how to behave or react when faced with a difficult situation. This check sheet offers guidance on how to respond to ambiguous, awkward, or challenging moments that may accompany field research. About the CONVERGE Extreme Events Research Check Sheets Series: The National Science Foundation-supported CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder has developed a series of brief check sheets that are meant to be used as researchers design their studies, prepare to enter the field, conduct field research, and exit the field. The series offers best practices for extreme events research and includes check sheets that are free to the research community. More information is available at: https://converge.colorado.edu/resources/check-sheets.
DOI: 10.17603/ds2-wx2s-0c34
title: PLANNING WORKSHOP - MID-SCALE RI-EW: CONCEPTS FOR A TORNADO-DOWNBURST-GUST TESTING FACILITY TO STUDY WIND/DEBRIS IMPACT ON CIVIL INFRASTRUCTURE
DOI: 10.17603/ds2-zad5-ry27
title: KyU-A1, KyU-GS1, KyU-GS1a, KyU-A2, and KyU-GS2 - Kyoto University Experiments
title: in LEAP-ASIA-2019 Experiments (Liquefaction Experiments and Analysis Projects)

description: Building upon the database of LEAP-UCD-2017, twenty centrifuge model tests of liquefaction and lateral spreading are shared and compared in this archive. Some of the experiments were conducted according to the conventional centrifuge scaling laws; others were conducted according to a generalized scaling law. Please see the general report section of the published project for an overview comparison and background of all of the experiments. The comparisons presented in the general report section will serve as an index to help the users find individual experiments of interest.  This data from the model tests is published as ten separate experiments in this archive (one experiment per centrifuge facility). Each "experiment" includes one or more model tests and each model test includes between one and three destructive shaking events.
All of the tests modeled a 4 m thick deposit of Ottawa F-65 sand with a 5-degree surface slope in a rigid box. 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 ten centrifuge facilities involved in this test program included Cambridge University (UK), Ehime University (Japan), IFSTTAR (France), NCU (Taiwan), KAIST (Korea), Kyoto University (Japan), RPI (USA), UC Davis (USA), Tokyo Institute of Technology (Japan) and Zhejiang University (China).
description: Lateral spreading of a submerged slope and validation of generalized scaling laws for LEAP-ASIA-2019
DOI: 10.17603/ds2-35nr-pj53
title: Survey Instruments to Collect Revealed and Stated Preferences for Household Adaptations & Unhappiness During Extreme Events

description: The project contains the survey instruments used to collect and analyze household adaptations and unhappiness due to infrastructure service interruptions in different regions following various disaster events. These surveys collected data on household demographics, service usage patterns, risk perceptions, and both revealed and stated preferences for adapting to disaster-induced electric power outages and water supply interruptions. 

The survey implemented in Los Angeles County aimed to capture general household experiences rather than responses to a specific disaster event. In contrast, the Texas survey was administered in the aftermath of the 2021 Texas winter storm. Data collection in New York and North Carolina focused specifically on household responses to the December 2022 North American winter storm. This survey involved collecting household responses to power outages only, unlike the surveys in Los Angeles and Texas, which were aimed at collecting responses to power outages and water supply interruptions.
DOI: 10.17603/ds2-5dbt-4v79
title: Tsunami Transfer Function Project: Machine Learning Based Method to Estimate Onshore Tsunami Hazard Curves

description: To quickly estimate tsunami hazards along the coastline, we present a data-driven transfer function method to reconstruct onshore tsunami hazard curves from offshore hazard curves with corresponding topographic and bathymetric data. The transfer function is approximated by a type of artificial neural network called a Variational Autoencoder (VAE). The VAE first encodes input data, including offshore hazard curves and topographic and bathymetric data. Once encoded, the data is represented by a normal distribution of latent variables. The VAE then uses a decoder that is trained to sample the distribution created by the latent variables and reconstruct a continuous hazard function at the onshore location. As the encoded values are represented by a probabilistic distribution, the resulting hazard curve output has inherent stochasticity. Thus, model variance can be found through many realizations of the transfer function for a single set of inputs. We developed a set of transfer functions to accurately predict the onshore hazard curves for (1) onshore flow depth, (2) Froude number (dimensionless velocity), and (3) dimensionless momentum flux. We construct two flow depth transfer functions, with one version utilizing an "anchor point" taken from established site-specific numerical modeling data. The VAEs to predict velocity and momentum flux incorporate an approach that leverages condensed topographic information around the point of interest (topographic rings). Overall, the transfer function method efficiently estimates onshore tsunami hazard curves, together with model uncertainty quantification, without requiring computationally expensive numerical simulations.

The data and scripts used in this project are free to be re-used. under an MIT license.
DOI: 10.17603/ds2-7gzy-a168
title: Research Experiences for Undergraduates (REU), NHERI 2022: Visualization of a Separated Flow on a Canopy Attached to a Mid-rise Building

description: The interaction between flow separation bubbles caused by a separated flow due to canopies attached to buildings is investigated in this study. This data may be reused to assist in the understanding of how separation bubbles interact, as there is no current research on the interaction between separation bubbles. This is intended for other researcher interested in visualizing the interaction between separation bubble.
DOI: 10.17603/ds2-bfqt-ka17
title: MATLAB Code: Computational design of finite strain auxetic metamaterials via topology optimization and nonlinear homogenization

description: This work provides topology optimization framework for designing metamaterials with negative Poisson’s ratio over a large strain range.
DOI: 10.17603/ds2-edh5-nd38
title: Boundary Layer Wind Tunnel Tests of a Low-rise Building Model with Varying Parapet Height
title: in Cyber-Physical Systems Approach for the Optimal Design in Wind Engineering: Parapet Walls

description: This experiment contains pressure measurements collected during boundary layer wind tunnel testing of a 1:18 low-rise building model. The building model has a parapet wall whose height was adjusted incrementally between 0 and 5 inches model scale. For each parapet height, the model was evaluated from 0 to 360 degrees at increments of 15 degrees. The model was instrumented with 512 pressure taps. Pressure measurements were collected using a high speed pressure scanner from Scanivalve. The data files are in .mat format.
description: The research objective of this project is to develop a cyber-physical systems (CPS) approach to the optimal design of structures for wind hazards. The approach combines the accuracy of physical wind tunnel testing with the efficiency of numerical optimization algorithms to create an efficient approach to structural design. Experiments are executed in a wind tunnel, sensor feedback is monitored by a computer, and optimization algorithms dictate physical changes to the model in the wind tunnel. The traditional design process involving wind tunnel testing is an iterative procedure that can take weeks or months. Rather than having to construct multiple entirely new models, a model with physically adjustable parameters can be used to streamline the design process to efficiently reach the optimal solution much quicker than purely experimental methods and with a higher degree of realism than purely numerical methods. These experiments represent a portion of the project and they involve the testing results of a mechatronic low-rise building model with an outer parapet wall of variable height.
DOI: 10.17603/ds2-nadh-en77
title: Research Experiences for Undergraduates (REU), NHERI 2023: Assessing the Aerodynamics of Manufactured Homes Using Wind Tunnel Testing

description: This project discusses the wind tunnel test of a model manufacture home conducted at the Florida International University Wall of Wind Experimental Facility. From this project, we hope to improve the building and design codes for manufacture homes, improving their resistance to intense windstorms. This project also has the objective of validating a finite element model created by the University of Alabama. This data could be reused in future studies to provide base line information on the behavior of manufactured homes and how they react under extreme wind-related weather events. This project will functions as a stepping stone for future research. The information presented here may be of interest to wind engineers, researchers, those interested in structural health monitoring, and those interested in manufactured homes.
DOI: 10.17603/ds2-q6cf-mb79
title: Shake-table Tests of A Half-scale Seven-story RC Structure with Stiffness and Damage Irregularities (Specimen-1)
title: in Shake-table Tests of Seven-story Reinforced Concrete Structures with Torsional Irregularities

description: A half-scale seven-story structure (Specimen-1) was tested on the high-performance shake table in the NCREE Tainan Laboratory. The tests aimed to investigate inelastic torsional response under uni-directional seismic excitation due to torsional stiffness irregularity (Series-1A) and unsymmetric damage (i.e. Series-1B with Damage Irregularity). In Series-1A, an unreinforced masonry infill wall was installed in one edge (West) of the first story of the structure, which resulted in high drift demand in the flexible East frame. Series-1B tested a system with damage irregularity caused by torsional response in Series-1A. The test data will be valuable to validate numerical analysis for the specimen as well as to improve seismic assessment for existing buildings subjected to inelastic torsional response.
description: This experimental project was made possible by an international collaboration between the National Centre for Research on Earthquake Engineering (NCREE), Taiwan and QuakeCoRE, New Zealand Centre for Earthquake Resilience. Both Taiwan and New Zealand belong to high seismic hazard regions and experiences from past earthquakes brought up needs for assessing displacement demands on existing reinforced concrete buildings subjected to torsion. The series of shake-table tests were therefore conducted in NCREE Tainan Laboratory using the high-performance earthquake simulator. The primary objective of the experiments was to investigate displacement demand due to inelastic torsional response. Two specimens were designed to test different source of torsional irregularities and the test data were made available for the public on DesignSafe.
DOI: 10.17603/ds2-rjay-8g20
title: 2022 Social Science Extreme Events Research (SSEER) Network
title: in Social Science Extreme Events Research (SSEER) Network Data, Survey Instrument, and Annual Census

description: This project includes a survey instrument, data, and annual census reports from the National Science Foundation (NSF)-funded Social Science Extreme Events Research (SSEER) network, which is headquartered at the Natural Hazards Engineering Research Infrastructure (NHERI) CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder. The SSEER network, which was launched in 2018, was formed, in part, to respond to the need for more specific information about the status and expertise of the social science hazards and disaster research workforce. The mission of SSEER is to identify and map social scientists involved in hazards and disaster research in order to highlight their expertise and connect social science researchers to one another, to interdisciplinary teams, and to communities at risk to hazards and affected by disasters. Ultimately, the goals of SSEER are to amplify the contributions of social scientists and to advance the field through expanding the available social science evidence base. To see the SSEER map and to learn more about the SSEER initiative, please visit:  https://converge.colorado.edu/research-networks/sseer. All social and behavioral scientists and those in allied disciplines who study the human, economic, policy, and health dimensions of disasters are invited to join this network via a short online survey. This DesignSafe project includes: (1) the SSEER survey instrument; (2) de-identified data, which is updated annually as new researchers join the SSEER network and returning members update their information; and (3) SSEER annual census reports. These resources are available to all who are interested in learning more about the composition of the social science hazards and disaster workforce. SSEER is part of a larger ecosystem of NSF-funded extreme events research and reconnaissance networks designed to help coordinate disciplinary communities in engineering and the sciences, while also encouraging cross-disciplinary information sharing and interdisciplinary integration. To learn more about the networks and research ecosystem, please visit: https://converge.colorado.edu/research-networks/.
description: This dataset includes information regarding 1,521 social science researchers who signed up for the Social Science Extreme Events Research (SSEER) network between July 8, 2018 and December 31, 2022. Researchers’ information is collected via an online survey that consists of 19 questions and takes approximately 7 minutes to complete. The envisioned audience for this data and other information includes those who are interested in learning more about the composition of the social science hazards and disaster research workforce, the events that they study, and their skills and expertise.