cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-2a8t-4v50
title: Development of a validated methodology for seismic analysis and design of standard and pile-supoorted retaining walls

description: This project provides Jupyter notebooks for computing seismic earth pressures acting on lateral earth retention systems using a Winkler-based elastic solution. The solutions are for shear waves propagating vertically through continuously inhomogeneous elastic soil acting against flexible walls constrained by elastic rotational and translational springs at the top and bottom. There are two different approaches represented in these notebooks. The frequency domain method requires a ground surface motion to be input along with soil and wall properties. Output includes time series representing shear and bending moment at the top and bottom of the wall as well as snapshots of wall and soil displacement, seismic earth pressure, shear, and bending moment at the time that the peak bending moment is predicted. The single frequency solution represents the ground motion using a surface displacement amplitude and mean frequency rather than a full time series, and is better suited to design applications where a ground motion time series is often not available. Output includes distributions of soil and wall displacement, seismic earth pressure, shear, and bending moment.
DOI: 10.17603/ds2-2ek2-g091
title: Experimental studies of Tsunami-driven Debris Transport and Dynamics on Column Structures
title: in Experimental Quantification of Tsunami-driven Debris Damming on Structures-Phase1

description: This experimental project investigated the debris accumulation in front of structures during tsunamis (debris damming), which leads to an increase in the forces imposed by tsunami flow on structures. The study was conducted through the construction of a 1/20 geometric scale physical model. Tsunami-like waves were generated over an idealized slope and transported different shapes of multi-debris, representing shipping containers, over the flat test section to measure debris loadings on elevated column structures. The experiment optically measured the debris impact and damming process, along with the corresponding loads on the entire column structure using a Force Balance Plate and separately on an individual column in the front row using a load cell. This unique data set will help to understand the impact of various factors on debris-driven damming loads, including wave characteristics, specimen configurations, and debris shapes. This data will also help to develop and validate numerical models that predict the motion and dynamics of floating debris during extreme coastal events.
description: This experimental project investigated the debris accumulation in front of structures during tsunamis (debris damming), which leads to an increase in the forces imposed by tsunami flow on structures. The study was conducted through the construction of a 1:20 geometric scale physical model. Tsunami-like waves were generated over an idealized slope and transported different shapes of multi-debris, representing shipping containers, over the flat test section to measure debris loadings on elevated column structures. The experiment optically measured the debris impact and damming process, along with the corresponding loads on the entire column structure using a Force Balance Plate and separately on an individual column in the front row using a load cell. This unique data set will help to understand the impact of various factors on debris-driven damming loads, including wave characteristics, specimen configurations, and debris shapes. This data will also help to develop and validate numerical models that predict the motion and dynamics of floating debris during extreme coastal events. This project is the outcome of “Collaborative Research: Experimental Quantification of Tsunami-driven Debris Damming on Structures” with collaborators from the University of Hawaii at Manoa, Louisiana State University, and Oregon State University.
DOI: 10.17603/ds2-3b1r-3743
title: Pre-hurricane building imagery for StEER dataset
title: in Predicting Hurricane-Induced Building Damage Using Multimodal Data: Insights from the StEER Dataset

description: This dataset provides a valuable resource for research on hurricane-induced building damage prediction by offering pre-hurricane imagery for buildings impacted by Hurricanes Harvey, Florence, Michael, Sally, and Laura, as documented in the NSF-funded StEER dataset. Comprising short-range and long-range satellite images, along with ground view images, the dataset is organized using fulcrum_id to facilitate integration with corresponding tabular data. It serves as a foundation for the study Predicting Hurricane-Induced Building Damage Using Multimodal Data: Insights from the StEER Dataset (in revision) and is particularly geared toward advancing the integration of image modalities in machine learning models. This dataset is highly adaptable, supporting applications such as feature extraction, model validation, and comparative studies, and offers significant potential for broader exploration of multimodal learning approaches in disaster impact research.
description: This mission aims to provide the pre-hurricane building images for the work Predicting Hurricane-Induced Building Damage Using Multimodal Data: Insights from the StEER Dataset (in revision). This dataset contains pre-hurricane imagery corresponding to buildings affected by Hurricanes Harvey, Florence, Michael, Sally, and Laura, as documented in the NSF-funded Structural Extreme Events Reconnaissance (StEER) dataset. The imagery includes short-range and long-range satellite images, as well as ground view images, collected from Google street view and Google Earth pro based on the geographic coordinates. Each image is named using its associated fulcrum_id to enable pairing with the corresponding tabular data in the StEER dataset. This dataset is intended for research on hurricane-induced building damage prediction, particularly for exploring the integration of image modalities in machine learning models. Potential applications include feature extraction, model validation, and comparative studies of damage prediction methods.
DOI: 10.17603/ds2-5525-6g70
title: StEER: Hurricane Idalia Annotated Media Repository
title: in StEER - Hurricane Idalia

description: This project encompasses the products of StEER's Level 1 response to this event: Preliminary Virtual Reconnaissance Report (PVRR) with corresponding Media Repository.

Hurricane Idalia made landfall along the coast of the Florida Big Bend as a Category 3 hurricane on August 30, 2023, near Keaton Beach, FL. Marked by one of the fastest rates of tropical cyclone intensification observed in the Atlantic basin, the hurricane made landfall with maximum sustained wind speeds near 125 mph. The associated wind field had a relatively small radius of 12 miles, which was approximately half of the radius associated with 2022’s Hurricane Ian. The hurricane caused powerful winds and storm surge, with recorded water levels of approximately 8-9 ft above mean sea level in coastal communities such as Cedar Key and Keaton Beach, FL. The storm brought heavy rainfall across Florida, and portions of Georgia and South Carolina.
The hurricane impacted a sparsely populated region along the Florida Big Bend, and observations of building and infrastructure damage were generally limited. Wind-induced non-structural damage was observed in residential and commercial buildings and schools in communities across Taylor County, FL, with some evidence of wind-induced structural damage. Storm surge-induced damage was observed in older structures that lacked sufficient elevation above the ground, and there was some evidence of displacement of manufactured homes by storm surge. In addition to the temporary closure of some bridges and roadways due to the associated flooding, the storm surge also caused damage to some roadway and bridge infrastructure due to weakening of the supporting soils. Power outages caused by the storm affected approximately half a million customers in Florida, Georgia and the Carolinas. 
As the storm primarily affected a lightly inhabited region, the damage patterns observed in the aftermath of Hurricane Idalia may have limited potential to generate new knowledge for natural hazards engineering. However, the event may still offer important lessons regarding: (1) human perceptions of risk and voluntary mitigation investments by individuals and communities to address vulnerable properties with little to no freeboard, (2) code-exempted agricultural buildings, and (3) older manufactured and mobile homes in highly exposed areas.
description: This annotated media repository is a supplement to StEER’s Preliminary Virtual Reconnaissance Report (PVRR). The repository is a visual catalog of geolocated photographic evidence, organized by different hazard and structural classes, and annotated with team member interpretations and analyses.
DOI: 10.17603/ds2-5yk0-q734
title: NCU-A2 and NCU-B - National Central 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/ds2-92c9-t496
title: Strain-Controlled Cyclic Triaxial Tests
title: in LEAP-2020: Cyclic Triaxial and Direct Simple Shear Tests Performed at GWU

description: Cyclic triaxial strain controlled tests conducted to study the liquefaction strength of Ottawa F65 sand at three different densities.
The dataset may be used in the assessment of the performance of current and future constitutive models for sands.
description: The results of strain-controlled cyclic triaxial and cyclic direct simple shear tests performed on Ottawa F65 sand at the George Washington University Geotechnical Engineering laboratory are archived here.  The datasets for triaxial tests are published as a separate experiment.  The cyclic direct simple shear tests are also presented in two separate datasets:  one for specimens subjected to uniform shear stress waves and the second one for specimens subjected to non-uniform shear stress waves.
DOI: 10.17603/ds2-b1yd-pq98
title: Building Damage Survey Instrument, November 26, 2016: Wave 1

description: This collection archives instruments and planning materials related to the building damage assessment survey for Wave 1 of the Lumberton, NC Field Study conducted by the Center for Risk-Based Community Resilience Planning, a NIST-funded Center of Excellence. The survey was designed to gather specific types of information on the physical structure of the housing unit itself at the time of the flooding. The damage assessment survey was designed with three main goals: (1) inspect the general physical condition of buildings (i.e., building type, foundation type, construction type, house dimensions, number of stories, building year, construction quality and maintenance condition), such that a general damage state assessment at the building level ranging from 0 to 4 could be provided to measure the effect of damage level on other engineering and social science parameters; (2) record the high-water mark location observed on the structure or another nearby physical reference point and determine the flood source if possible (e.g., surface flooding, sewer backup, drain pipe); and (3) record more specific assessments of the external and the internal damage sustained by the structure and its contents to make a detailed (component-based) damage assessment. In general, flooding without significant flow velocity results in damage to contents and non-structural components in buildings, and Lumberton was no different.
DOI: 10.17603/ds2-b6sk-3g29
title: Research Experiences for Undergraduates (REU), NHERI 2022: Comparative Study of Surrogate Model Methods for Predicting Seismic Structural Response

description: This project is about comparing the accuracy and efficiency of two surrogate modeling methods (Gaussian Process Regression and Probabilistic Learning on Manifolds) for predicting seismic structural responses. The data of this project can be used to further improve the performance of the two surrogate modeling methods at predicting structural responses. This project is unique because, to the author's best knowledge, no research has compared these two methods. The main audience is engineers interested in structural modeling and the general audience is the natural hazards engineering community.
DOI: 10.17603/ds2-dbzm-t475
title: Cylindrical Tension Coupons
title: in Collaborative Research: Simulating Crack Propagation in Steel Structures Under Ultra-Low Cycle Fatigue and Low-Triaxiality Loading from Earthquakes and Other Hazards

description: Experimental test data from this project has been used to develop, calibrate and validate computational models to simulate ductile crack initiation and propagation in steel structures under ultra-low cycle fatigues.  The resulting models can be used in fundamental and applied research to evaluate earthquake-induced fracture limit states in steel structures.  The experimental test data can be used by researchers to calibrate and validate alternate computational models, which they have developed.
description: Monotonic 0.5-inch diameter cylindrical tension coupons, tested to obtain stress-strain data for steel used in experiments.
DOI: 10.17603/ds2-ddv9-2235
title: Data for Unidirectional and Multi-directional Cyclic Lateral-Load Testing of Self-Centering Cross-Laminated Timber Shear Wall-Floor Diaphragm Sub-Assembly
title: in Multi-Directional Cyclic Lateral-Load Testing of Self-Centering Cross-Laminated Timber Wall-Floor Diaphragm Sub-Assemblies

description: Driven by demand for sustainable buildings and a reduction in construction time, mass timber buildings, specifically cross-laminated timber (CLT), is being more widely used in mid-rise buildings in the US. Low damage post-tensioned self-centering (SC) CLT shear walls (SC-CLT walls) provide an opportunity to develop seismically resilient CLT buildings. Previous research focused primarily on the lateral-load response under unidirectional loading of isolated self-centering timber walls, without considering the interaction with the adjacent building structural components, i.e., the floor diaphragms, collector beams, and gravity load system. Buildings response under seismic loading is multidirectional and there are concerns that multidirectional loading may be more damaging to SC-CLT wall panels and the adjacent building structural components than unidirectional loading, which affects the potential seismic resilience of buildings with SC-CLT walls. A series of lateral-load tests of a 0.625-scale timber sub-assembly was conducted at the NHERI Lehigh Large-Scale Multi-Directional Hybrid Simulation Experimental Facility to investigate the the lateral-load response and damage of SC-CLT walls and the capability of the adjacent building structural components i.e., the floor diaphragms, collector beams, and gravity load system to accommodate the building response and the controlled-rocking of the SC-CLT walls under multidirectional lateral loading.
description: The data presented are processed from an experimental study on the multi-directional cyclic lateral-load response of post-tensioned self-centering (SC) cross-laminated timber (CLT) shear walls with a 0.625-scale test sub-assembly. The test sub-assembly consists of an SC-CLT wall, a CLT floor diaphragm, glulam collector beams, and a glulam gravity load system. The experimental results of two cyclic lateral-load tests are presented to compare between the lateral-load response and damage of SC-CLT walls under unidirectional (in-plane) and multi-directional (in-plane and out-of-plane) cyclic loading.
DOI: 10.17603/ds2-dyph-pf84
title: Cyclic Direct Simple Shear Tests - Uniform Loading
title: in LEAP-2020: Cyclic Triaxial and Direct Simple Shear Tests Performed at GWU

description: Cyclic response of Ottawa F65 Sand was investigated in constant-volume Direct Simple Shear tests.  The resulting experimental data were used in the calibration of a number of leading constitutive models for sands during the LEAP-2020 prediction exercise.  The dataset may be used in the assessment of the performance of current and future constitutive models for sands.
description: The results of strain-controlled cyclic triaxial and cyclic direct simple shear tests performed on Ottawa F65 sand at the George Washington University Geotechnical Engineering laboratory are archived here.  The datasets for triaxial tests are published as a separate experiment.  The cyclic direct simple shear tests are also presented in two separate datasets:  one for specimens subjected to uniform shear stress waves and the second one for specimens subjected to non-uniform shear stress waves.
DOI: 10.17603/ds2-gtby-j328
title: Weight optimization of Diagrid  Structures
title: in Design of Diagrid Building Structures

description: Weight optimizatiion
description: This project studies the design of buildings that have diagrid structural system. It conducts numerical simulations of tall buildings with varying diagrid angles, overall geometry, and other structural properties. Diagrid buildings offer aesthetic and economic benefits. Understanding the performance under natural hazards is critical to make these innovative designs a reality.
DOI: 10.17603/ds2-k1g7-vg97
title: Inventory of Seismic Structural Evaluations, Performance Functions and Taxonomies for Buildings (INSSEPT)

description: Relational database of published performance-based earthquake engineering and probabilistic seismic demand analysis results for mid-rise buildings. The database schema is organized based on building taxonomy information and prioritizes structural engineering use cases including comparison of alternative structural systems in early building design and regional seismic portfolio risk analysis. Data provenance, use cases, and sample queries are available in the accompanying manual, as well as two interactive Jupyter notebooks. A full description of the data provenance and schema design is provided in a related manuscript: Zaker Esteghamati, M., Lee J., Musetich M., Flint M. M., `INSSEPT: An open-source relational database of seismic performance estimation to aid with early design of buildings.'
DOI: 10.17603/ds2-m2db-6v94
title: Natural Hazards Research Summit 2024: Hurricane Wind Loss Modeling Using Insurance Claims Data

description: This study aims to develop a predictive model for estimating hurricane-induced property loss using variables such as wind speed, building attributes, land cover, and rainfall from insurance claims data. The dataset includes insurance claims data from four major hurricanes (Isaias, Florence, Dorian, and Matthew) that affected Eastern North Carolina. Exploratory data analysis is employed to gain insights into the relationships between the variables and the observed losses. Several statistical and machine learning models are developed to predict hurricane-induced losses. Two response variables, namely Dollar loss and Building loss ratio, are considered during model development. The appropriate model is selected and used for further analysis. Ongoing work focuses on analyzing the model prediction errors on aggregated data (e.g. hurricane-level, county-level) and refining the modeling process.
DOI: 10.17603/ds2-w0zm-y670
title: Archive of an Earthquake Ground Motion Relational Database (GMDB) for Engineering Applications

description: This dataset provides static archives of public releases from the Earthquake Ground Motion Relational Database (GMDB) for Engineering Applications (https://gmdatabase.org/). The GMDB is an ever evolving repository for uniformly-processed ground motion data, associated metadata, and intensity metrics (e.g., peak metrics, cumulative absolute velocity, Arias intensity, pseudo-spectral acceleration, effective amplitude spectra). Data stored within the GMDB includes the unification of published datasets (e.g., NGA-West2, NGA-East, and Hellenic Strong Motion Database) and ongoing data collection efforts which involve one or more project team members. Releases of individual versions include resources related to the relational structure (i.e., schema), data presented in individual tables as they are stored within the GMDB, and pre-compiled flatfiles formatted for user-convenience. Using these resources, users are able to construct a replica of a particular GMDB version in a local environment. Versioned data are also available on the GMDB web interface and application programming interface (API). The GMDB is anticipated to evolve with the addition of new data and corrections/updates to existing metadata associated with individual ground motions. This repository will be updated periodically as subsequent versions of the GMDB are released to the public. For detailed information related to the GMDB, please refer to Buckreis et al. (202X) “A global application programming interface (API)-enabled earthquake ground motion relational database (GMDB) for engineering applications”, Earthquake Spectra (in review).
DOI: 10.17603/ds2-zekm-9737
title: Best Practices for Ethical Post-Disaster Community Outreach and Engagement—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet outlines considerations for engagement with and outreach to participants in disaster-affected communities. The best practices outlined in this document can help disaster researchers to engage ethically with community members throughout the research process—from study design, to data collection, to the return of findings and results. 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.