cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-d7xd-1869
title: Rapid Building Damage Assessment Following the M7.7 Myanmar Earthquake: A Causal Bayesian Approach Using InSAR Imagery

description: On March 28, 2025, a devastating 7.7 magnitude earthquake struck Myanmar's Sagaing Region near Mandalay, killing approximately 5,350 people, injuring 7,860, and leaving hundreds missing. Our research presents comprehensive city-scale mapping of earthquake effects using a novel variational causal Bayesian network that integrates Interferometric Synthetic Aperture Radar (InSAR) derived change detection with empirical ground failure models and building footprints. This innovative approach enables four critical capabilities: (1) rapid large-scale estimation of building damage and ground failures from remote sensing, (2) causal attribution of building damage to specific failure mechanisms, (3) enhanced prediction of regional infrastructure-impacting landslides and liquefaction, and (4) fine-grained damage assessment across thousands of buildings simultaneously. By utilizing 30-meter resolution satellite imagery and building footprints, we achieved building-by-building damage classification within days of the earthquake. Our five-category damage classification system (no damage, slight, moderate, partial collapse, and collapse) was validated against high-resolution Maxar optical imagery, demonstrating exceptional accuracy in identifying damage patterns across the affected region. This work represents a significant advancement in rapid post-disaster damage assessment, providing critical information for emergency response and recovery planning following major seismic events.
DOI: 10.17603/ds2-gcrf-h607
title: Hurricane Harvey Infrastructure Resilience Investigation

description: Hurricane Harvey, a Category 4 hurricane that hit the Texas coastline on August 25, 2017, is the most significant tropical cyclone rainfall event in the United States history since reliable records began around the 1880s. Tied with Hurricane Katrina as the costliest tropical storm, Harvey’s damage was calculated to be approximately of $125 billion USD, according to the latest NOAA estimate. The catastrophic damages included more than 300,000 structures and up to half a million cars. The extraordinary rainfall that fell over Houston Metropolitan Area caused about 40,000 flood victims to evacuate due to the widespread flooding of homes and businesses. Floodwaters inundated major roads such as I-10, I-45, and US-59. Record water levels were observed on Buffalo Bayou, Clear Creek, Dickinson Bayou and Cypress Creek.
This investigation was initiated by the Infrastructure Resilience Division (IRD) of the American Society of Civil Engineers (ASCE) in the aftermath of Hurricane Harvey to document resilience performance of lifeline infrastructure and lessons learned. The following pages
focus on the major affected sectors. In each, a brief description of the sector is followed by an overview of the capacities and total scopes, such as production and existing infrastructure. Furthermore, a detailed count of the recorded and estimated damages and a summary of the recovery and rebuilding efforts is provided.
DOI: 10.17603/ds2-mq3w-eh49
title: Near-Seamless Digital Elevation Model Creation in the Great Lakes

description: This project represents work completed at the Engineering Research and Development Center (ERDC) as a part of an effort to complete ADCIRC modeling throughout the Great Lakes. This Digital Elevation data was derived from multiple public data sources and combined through mosaic dataset architecture. These products are offered at a 10 meter resolution at NAD83 (2011) and IGLD85 (meters). File formats for the elevation data include GeoTIFF and NetCDF formats. The spatial metadata included with each lake indicates which source datasets were used and in what order they were prioritized during stacking. An ERDC Technical Report (TR) detailing this work is in review and will be linked here when ready.
DOI: 10.17603/ds2-mzc8-s589
title: Topobathymetric Digital Elevation Models (DEM) for Flood Modeling in the Carolinas

description: Topobathymetric Digital Elevation Model (DEM) were created by merging multiple high-resolution LiDAR and survey data extracted from HEC-RAS models. The DEMs use a UTM coordinate reference system, have units of meters and are relative to NAVD88. The data is provided the data in raster format (TIF) and with spatial resolutions of 5 and 20 meters. These datasets incorporate channel data of various complexities using the best available data for improved 2D flood modeling.
DOI: 10.17603/ds2-p634-pg95
title: Replication Data: 3D Geometry Characterization of Florida and Virginia Mineral Particles

description: This dataset has (i) 3D geometry files of mineral particles from Florida and Virginia and (ii) analyzed 3D particle geometries. A total of 382 particle geometry files are included in this dataset. The Florida particles in this dataset are limestones, while the Virginia particles are freshly crushed granites from a quarry in Richmond, Virginia. The geometry files are obtained by 3D structured light scanning and presented in wavefront .obj format. These files can be viewed using free 3D geometry viewers such as MeshLab, Blender, and Microsoft 3D Viewer, enabling users to zoom in/out and rotate the 3D particles. The 3D particle geometries have been analyzed for shape, size, surface area, and volume. The analysis includes the use of 3D shape indices such as M (= A/V × L/6) and β, in addition to common 3D geometry measures such as surface area (A), volume (V), and size (L or D). The overall geometric properties of each particle group are also analyzed in terms of α and β*; the α informs the geometric variation (i.e., the relation between particle shape and size), and β* informs the average shape angularity of the particles. 
This dataset will be valuable for investigating the particle geometry-dependent soil behavior, by performing laboratory testing on analog soils after 3D printing the geometry files or using the files for discrete element modeling. Further information can be found in the related work linked above and the data report (see Data_report.pdf) included within the dataset.
DOI: 10.17603/ds2-q3fz-kq91
title: Cyclic Direct Simple Shear tests - Effect of static shear stress
title: in LEAP-2022 - Effects of overburden stress, relative density, and static shear stress on cyclic strength of Ottawa F65 sand

description: The stress-strain-strength behavior of Ottawa F-65 sand is investigated through a series of stress-controlled Cyclic Direct Simple Shear (CDSS) tests conducted as part of the Liquefaction Experiments and Analysis Project (LEAP-2022). The tests were performed with two different overburden stresses on specimens prepared with different relative densities and subjected to different static (initial) shear stresses prior to cyclic shearing. The report included here presents the setup and experimental procedure, as well as the liquefaction strength curves and the results obtained from each test. The dataset presented in this report builds on the soil characterization tests, cyclic triaxial tests, and direct simple shear tests performed for the LEAP-2017, LEAP-2018/9, and LEAP-2020 (ElGhoraiby, Park and Manzari, 2017, 2018a, b, 2020). The current dataset is archived on DesignSafe-CI and a MATLAB script is also provided for post-processing and visualization of the experimental data.
description: The stress-strain behavior and liquefaction strength of Ottawa F65 sand was investigated through an extensive series of cyclic direct simple shear (CDSS) tests. The study quantified the effects of static shear stress on the cyclic strength of Ottawa F65 sand. The database of CDSS tests was used to develop an Artificial Neural Networks model to predict Ottawa F65 cyclic strength.
DOI: 10.17603/ds2-sxq1-p731
title: Shake Table Test of a Resilient Full-Scale Ten-Story Mass Timber Building

description: A test program was designed to answer if it is possible to design and build a tall mass timber building with resilient performance against large earthquakes. Resilient performance was defined as to receive no structural damage under design level earthquake, and only easily repairable damage under maximum considered earthquake. The system under investigation is a full-scale 10-story mass timber building designed and constructed with many innovative systems and details including post-tensioned wood rocking wall lateral systems.  Non-structural components on the building were also tested to ensure their damage in all earthquakes are repairable and will not significantly delay the functional recovery of the building after large earthquakes. The tests were conducted using multi-directional ground motion excitations ranging from frequent earthquakes to maximum considered earthquakes. The resultant dataset  contains a total of 88 shake table tests and 48 white noise tests conducted on the building at the high-performance outdoor shake table facility in San Diego CA. U.S.A. Data was obtained using over 700 channels of wired sensors installed on the building during the seismic tests, presented in the form of time history of the measured responses. The tall wood building survived all excitations without detectible structural damage. This publication includes detailed documentation on the design and testing of the building, including construction drawing sets. Representative photo and video footage of the test structure during construction and testing are also included. This dataset is useful for researchers and engineers working on mass timber building design and construction in regions of high seismicity.
DOI: 10.17603/ds2-y2gc-xj10
title: Event Briefing
title: in StEER - Hurricane Delta

description: As the strongest hurricane on record named with a Greek letter, Hurricane Delta made landfall in Mexico near Puerto Morelos, Quintana Roo as a Category 2 hurricane on 7 October 2020, with a second landfall in the United States as a Category 2 hurricane on 9 October 2020 in Creole, LA. This U.S. landfall was roughly 10 miles east of the location where Hurricane Laura made landfall on 27 August 2020 as a Category 4 hurricane. This project encompasses a curated dataset an Event Briefing, an abbreviated StEER response mechanism that briefly summarizes the event and any key lessons that can be learned based on publicly available data and the impressions of Field Assessment Structural Teams (FAST) who deployed regionally to assess the impacts. Specifically, StEER activated FAST-1 and FAST-2 between 12-15 October 2020 to deploy rapid imaging techniques using the same teams and hardware that surveyed Hurricane Laura. The first team operated out of Auburn University 12-13 October and the second team out of Louisiana State University 14-15 October; FAST-2 liaised with other local researchers. Their combined data collection efforts emphasized a longitudinal data capture of areas previously documented for Hurricane Laura, as well as new clusters exposed to some of the Delta’s highest wind speeds to the east of landfall.
description: As the strongest hurricane on record named with a Greek letter, Hurricane Delta made landfall in Mexico near Puerto Morelos, Quintana Roo as a Category 2 hurricane on 7 October 2020, with a second landfall in the United States as a Category 2 hurricane on 9 October 2020 in Creole, LA. This U.S. landfall was roughly 10 miles east of the location where Hurricane Laura made landfall on 27 August 2020 as a Category 4 hurricane. This Event Briefing is intended to: (1) to provide details of the hazards in this event, (2) to describe damage to structures, as well as disruption to the community in terms downtime and economic losses, and (3) to list key lessons learned.  Information provided herein was gathered from various websites and news channels, as well as based on the field observations of StEER regional FASTs.
DOI: 10.17603/ds2-yxjv-5a15
title: Fourier Amplitude Spectrum Site Amplification Modelling  in Western United States
title: in Hashash et al. (2018) Western United States Site Response Simulation Database

description: This project includes the NoSQL database of 45,201 one-dimensional seismic site response simulations (15,067 of each linear, equivalent-linear and nonlinear simulation) developed for the parametric study described in Hashash et al. (2018) to inform new simulation-based site amplification models for Western United States (WUS). There are following files and a folder in this project: (i) Readme (0_Read_me.pdf) file and a user’s guideline file (1_NoSQL DB for Hashash et al. (2018) West Simulations.pdf) to detail the structure of the database files and how to query the database though Jupyter Notebook. (ii) A Jupyter Notebook (2_NoSQL-DB-Query-Hashash-et-al-2018-West-Simulations.ipynb) to query the simulation database. This notebook needs to be copied into the "My Data" tab to perform queries. (iii) A report (3_HASHASH-ET-AL-2018-IN-WESTERN-US-FAS-AMP-MODELS-V2.pdf) detailing the parametric study of Hashash et al. (2018) simulations (iv) WEST-SIM-DB: This folder includes the static files of Hashash et al. (2018) simulations NoSQL database. This work was funded in part by Southern California Earthquake Center (SCEC) and the Ministry of National Education of Turkey.
description: The parametric study is designed to develop 45240 1-D linear elastic, equivalent linear, and nonlinear site response analyses to develop a FAS nonlinear site amplification model for the WUS by conducting one-dimensional (1-D) site response analyses. It is composed of analyses through representative seed VS profiles from (Walling et al. 2008) and those in (Kim et al. 2016), and 1624 unique site profiles are developed for 45240 site response analyses, 15080 of each linear elastic, equivalent linear and nonlinear 1-D analyses. All simulation results are provided as a database to be used in modelling process.
Modelling of site response simulation data is achieved by linear and nonlinear site amplification functions for Fourier Amplitude Spectrum (FAS) developed by Harmon et al. (2019a). The proposed FAS nonlinear amplification model is defined as function of VS30 and PGA at reference rock, and FAS linear site amplification is provided in tabular form with respect to VS30 and soil depth for each frequency.
DOI: 10.17603/ds2ch6t
title: Ehime1, Ehime2, Ehime3 - Ehime University Experiments, in PRJ-1843: LEAP-UCD-2017
title: in LEAP-UCD-2017 Experiments (Liquefaction Experiments and Analysis Projects)

description: Twenty-four centrifuge model tests of liquefaction and lateral spreading, performed as part of a round robin test program, are shared and compared in this archive. Please see the general report section of the published project for an overview comparison and background of all of the experiments. One document in the report (with “ReadMe” in the file name) describes the organization of the data archive. 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 24 model tests is published as nine separate experiments in this archive (one experiment per centrifuge facility). Each "experiment" includes two or three 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 nine 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), and Zhejiang University (China).
description: Lateral spreading of a submerged slope for LEAP-UCD-2017
DOI: 10.17603/ds2-3148-wp47
title: Centrifuge monotonic pullout and displacement controller cyclic tests on bioinspired and reference piles
title: in Multiscale investigation of load transfer directionality of bioinspired surfaces under monotonic and cyclic loading

description: This project addresses the effects of soil-structure behavior at the interface when the structural element is asymmetrically structured. This texturing can be applied both to planar applications, such as geosynthetics, or pile shafts. The texturing induces a directional dependence in terms of interface friction angle, which leads to differences in shear resistances which may be outside the bounds expected from many many formulations of pile shaft resistance.
description: The tests were conducted on 5 internally instrumented piles with directionally dependent or reference shaft geometries in order to investigate the differences in load transfer during installation and pullout . In addition, displacement controlled cycles were applied, followed by a second pullout portion in order to investigate the post cyclic capacity of each pile. The experiment showed clear dependency of load transfer based on shaft texture, and the changes in load distribution between installation and pullout. The data provided includes the processed strain gauge measurements from each pile for each portion of loading (i.e. installation, pullout, cyclic, and post cyclic pullout), and can be used for any application where pile load measurements are of interest for the given installation depths and soil state.
DOI: 10.17603/ds2-3gwj-tz06
title: Research Experiences for Undergraduates (REU), NHERI 2022: Investigation of Wave-Structure Interaction During Post-Earthquake Event Using Real-Time Hybrid Simulation

description: This project sought to explore if real-time hybrid simulation (RTHS) was a viable solution for the seismic-wave-structure interaction modeling conflict. The data from the project can be reused to further investigate and validate wave impact pressure readings to then compare to the measured load cell forces. This project is unique in that it provided additional insight into the novel use of RTHS as a solution to a longstanding modeling conflict. The work is targeted towards the seismic and coastal engineering research communities to help better understand how structures react under seismic and hydrodynamic loading.
DOI: 10.17603/ds2-5kyy-3a11
title: RSB: A Decision and Design Framework for Multi-Hazard Resilient and Sustainable Buildings

description: This project presents a decision framework for multiobjective optimization (MOO) of resilient and sustainable building design considering multiple hazards.
To regenerate the results presented in published papers and to carry out multiobjective optimization of resilient and sustainable building design.
The MOO framework can lead to pruned optimal design alternatives that can, in turn, lead to a final design based on stakeholders’ preferences.
The audience includes researchers and engineers.
DOI: 10.17603/ds2-8290-5h65
title: Establishing a Social Research Infrastructure for Hazards and Disaster Studies – Manitoba Canada

description: Establishing a Social Research Infrastructure for Hazards and Disaster Studies in Canada, funded by the Canada Research Chairs Program (Award # CRC-2020-00128). This project aims to comprehensively asset map the existing hazards and disaster scholars, educational courses, modules, and programs at the post-secondary education organizations in Manitoba, Canada. Accordingly, data were collected from the official institution websites of five universities and three colleges (https://www.edu.gov.mb.ca/ald/uni_coll.html), four religious institutions (https://www.edu.gov.mb.ca/ald/private_voc.html), and the Listing of Private Vocational Institutions of 52 private training institutions (https://www.edu.gov.mb.ca/pvi/list/list_n.html) in Manitoba. These data include the information of (1) courses that focus on climate change, hazards, risks, and disasters, and (2) academic programs that are related to the topic of climate change, disasters, and other crises. The original data also indicate faculty members who have expertise in conducting hazard and disaster research. However, faculty members’ data (e.g., names, email addresses, and office telephone numbers) cannot be shared publicly due to privacy and ethical concerns. The users may use the courses and programs information included in this dataset to identify related faculty members. These data illustrate the strengths and weaknesses of hazards-and-disaster-specific post-secondary education resources in Manitoba which might encourage hazards and disaster educators to understand the existing gaps and explore possible solutions. Researchers in Canada and internationally could use these data to navigate their potential research collaborators through related educational programs. Future students could use these data to search for hazards-and-disaster-related programs and courses, as well as contact potential faculty members in related departments. The general public could use the data to further search detailed information associated with the courses and programs they might be interested in as well as identify their community-based scholars through the courses and programs.
DOI: 10.17603/ds2-b5z3-4m42
title: Evaluation of Transfer Learning Models for Predicting the Lateral Strength of Reinforced Concrete Columns

description: Transfer learning aims to extract knowledge from one or more source tasks and apply the knowledge to a different task for more accurate predictions. The main purposes of this study are to investigate different knowledge transfer techniques, apply them to accurately predict the lateral strength of reinforced concrete columns with only a small amount of training data, and compare the transferability of each method. According to the various source and target domains, three different experiments are designed to directly compare the performance across section type, shear reinforcement area, and concrete compressive strength. In all cases in this study, knowledge transfer techniques show better prediction performance than the models trained without any knowledge transfer techniques. Therefore, we can conclude that transferring pre-trained knowledge from the source domain enables a model to better explain the response variable in the target domain. The performance improvement is particularly emphasized when the available data for the target domain is small. Thus, transfer learning can be one way to address the data scarcity problem in structural engineering. Furthermore, transferring the pre-trained knowledge is more associated with the underlying physical relationship between the source and the target domains and less associated with the discrepancy between the source and the target domain distributions.
DOI: 10.17603/ds2-dwt9-ke80
title: Cyclic Direct Simple Shear Tests - Nonuniform Loading
title: in LEAP-2020: Cyclic Triaxial and Direct Simple Shear Tests Performed at GWU

description: Cyclic direct simple shear tests were conducted to study the liquefaction-induced permanent deformations caused by non-uniform shear stress waves which mimic the acceleration time histories used in the LEAP centrifuge experiments.  The experiments reported here were used as the basis for evaluation of a number of leading constitutive models for sands during LEAP-2020 type-A 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.