cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-we6b-5k56
title: Pseudo Static Cyclic Lateral Loading of two Unbonded Post-Tensioned Precast Rocking Walls
title: in Investigation of critical concrete strain in unbonded post-tensioned precast rocking walls

description: The concrete strain at the rocking corners of the unbonded post-tensioned precast rocking walls, under lateral loading, was under investigation. The specimens were tested using pseudo-static lateral loading protocol. The measured data was used to validate and improve upon plastic hinge length equation for such walls. The data can be used to develop numerical models and further study on the subject matter.
description: This project consisted of large-scale testing of two unbonded post-tensioned precast concrete walls to improve prediction of critical concrete strain at the rocking corners. The data can be used to develop numerical models and further the understanding on behavior of rocking precast walls.
DOI: 10.17603/ds2-1b37-bw25
title: EERI VERT Oaxaca Earthquake Phase 1 Report

description: The Virtual Earthquake Reconnaissance Team (VERT) is a sub-committee of the Learning from Earthquakes (LFE) Committee of the Earthquake Engineering Research Institute (EERI). The VERT Phase 1 report summarizes damage due to an earthquake on a variety of topics including hospitals, roads, geotechnical damage, lifelines, and fires following earthquakes.
DOI: 10.17603/ds2-83ca-r890
title: SimCenter Hurricane Testbed: Atlantic County, NJ

description: This project contains the inputs (inventories, rulesets, hazard data), outputs (enriched inventory data, results), and documentation used in this release of the SimCenter’s Atlantic County, NJ testbed. This testbed serves as a demonstration site for the hurricane regional loss estimation workflow. This project houses the various inputs and outputs associated with the testbed, with Github as a secondary repository for all evolving software, rulesets, and codes.
DOI: 10.17603/ds2-dv8n-yx58
title: Reinforced Concrete Coupling Beams Subjected to Reversed Cyclic Loads
title: in Diagonally-Reinforced Concrete Coupling Beams with High-Strength Steel Bars

description: Six coupling beam specimens were tested under fully reversed cyclic displacements of increasing magnitude to investigate the effects of high-strength reinforcement on coupling beam behavior. The main variables of the test program included: yield stress of the primary longitudinal reinforcement (Grades 60, and 120 [420, and 830]), development length of longitudinal bars (fully developed or not), design shear stress, and axial restraint.
description: The use of high-strength steel in diagonally reinforced coupling beams was investigated with the aims of minimizing reinforcement congestion and increasing the maximum permissible design shear stress without compromising behavior under large displacement reversals. Six large-scale diagonally reinforced concrete coupling beam specimens with clear span-to-depth ratios of 1.9 were tested under fully reversed cyclic loads. The primary variables were yield stress of the diagonal reinforcement (60 and 120 ksi [420 and 830 MPa]), target beam shear stress, length of the secondary (non-diagonal) longitudinal reinforcement, and axial restraint. All specimens had the same nominal concrete compressive  strength and beam dimensions.
  
Chord rotation capacities exhibited by the specimens with Grade 120 (830) reinforcement were between 5.1 and 5.6%, less than that of the control specimen with Grade 60 (420) diagonal reinforcement (7.1%). Neither development of secondary reinforcement nor increases in design shear stress affected specimen chord rotation capacity. The axially-restrained specimen with Grade 120 (830) diagonal reinforcement showed the same chord rotation capacity as a similar specimen without axial restraint, but 14% larger strength. In specimens with secondary longitudinal reinforcement extended into the wall (such that the embedment length exceeded the calculated development length), the localization of damage evident along the beam-wall interface in tests of specimens with bars terminating near the wall face was not observed. Although damage was more distributed throughout the beam span, deformation capacity was not increased. Among the specimens, it was shown that the initial stiffness, area of the shear force-chord rotation hysteresis cycles, and residual chord rotation at zero shear force changed in inverse proportion to the diagonal bar yield stress.
DOI: 10.17603/ds2-jysn-dt71
title: Slope Models in Finite Element Mesh Subjected to Numerous Earthquake Records
title: in Simulations of Earthquake-Induced Permanent Displacements of Generic Earth Slopes using LS-Dyna

description: This DesignSafe published dataset is associated with research aimed at developing simulation-based predictive models of earthquake-induced slope displacements through classical regression and artificial neural network (ANN) approaches. Towards this end, finite element modeling was used to build a displacement database associated with different slope geometries, soil properties, and ground motion characteristics. A total of 49 slope geometries were analyzed, with each subjected to 1,051 earthquake motions. The maximum resultant displacements on the slope surface are collected for the 51,499 analyses performed. These displacements were used to develop statistical models that predict displacement as a function of the ground motion intensity and slope characteristics.  These statistical models were developed by the least-squares method and by the artificial neural network (ANN) approach.
description: The uncertainties in the seismic slope displacement from ground motion characteristics and slope properties were investigated. 
It was conducted by running massive finite element simulations in parallel through HPC resources supported by Designsafe. 
Predictive models of the seismic slope displacement were derived from the computed displacement along with the ground motion intensity measure and slope parameters; Classical regression model and Artificial Neural Network regression model. 
These results could be reused for investigating fragility curve for slope failure.
DOI: 10.17603/ds2-q511-8d07
title: Natural Hazards Research Summit 2024: Preparing for Next-Generation Geohazards

description: This poster, presented at the Natural Hazards Research Summit 2024, highlights two ongoing projects of the Yost Research Group, one focused on earthquake and climate hazards in New Zealand and the other focused on flood hazard in Pennsylvania. Once data collection is completed for these projects, it will be available on DesignSafe for reuse.
DOI: 10.17603/ds2nx0n
title: Direct Simple Shear Testing For Silica Silt And Kaolin Mixtures
title: in Direct simple shear testing for silica silt and kaolin mixtures

description: This experimental program supports a broader project on validating methods to mechanistically develop relationships between cone penetration test measurements and the engineering properties of intermediate soils.
description: Direct simple shear (DSS) tests for mixtures of silica silt and kaolin.
DOI: 10.17603/ds2-11xy-qw29
title: Earth Observation Products for Catchment-Scale Operational Flood Monitoring and Risk Management

description: The datasets provided here include Passive Microwave Radiometry (PMR) daily river discharges and annual peak discharges, Rstudio code, MODIS surface reflectance, and an Excel spreadsheet template for flood frequency analysis. These datasets are observations and measurements that could be suitable for operational flood monitoring and risk management in sparsely gauged to ungauged river basins, and river basins where flooding is further exacerbated due to cross-border water infrastructure management practices.
DOI: 10.17603/ds2-7t61-mc12
title: Pohang Earthquake Reconnaissance
title: in Seismic Response of Soft-Story “Piloti” Buildings During the 2017 Pohang, South Korea Earthquake

description: On 11 November 2017, a magnitude 5.4 earthquake struck South Korea, with its epicenter approximately 9 km west of the coastal city of Pohang. Stations near the epicenter recorded peak ground accelerations up to 0.27g and peak ground velocities up to 12 cm/sec. Local news reported damage to nearby schools and residential buildings, some of which were caught on CCTV. Reports of structural damage prompted the American Concrete Institute (ACI) and the Taiwan National Center for Research on Earthquake Engineering (NCREE) to send a joint team to survey the damage to reinforced concrete and masonry structures. Over the course of one week, the team surveyed 74 structures. This dataset includes the measurements of vertical structural elements (walls and columns), including their dimensions and coordinates of 59 piloti-type structures. The data have been derived from drawings included by Sim, C. et al. "Pohang Earthquake: Reinforced concrete building damage survey." (2017),
doi: 10.7277/04XV-FA16.

description: The focus of this investigation was the structural performance of reinforced concrete buildings during the Pohang Earthquake. The data collected can be re-used to analyze how various factors such as element size, shape, and location affected response. The present dataset is in fact a re-use of previously published data (not on DesignSafe).
DOI: 10.17603/ds2-d3zm-j029
title: Codebase for selection and evaluation of functional recovery-based design performance objectives

description: This project provides supporting code and data for the paper "Functional recovery-based design performance objectives: selection and evaluation". The paper describes methods for defining and evaluating seismic design objectives that target post-earthquake functional recovery of buildings. 

The enclosed code and data contains an end-to-end pipeline for lifetime functional recovery performance assessment, applied for the two commercial office archetype buildings developed as part of the case studies in the paper. Scripts to generate figures from the paper are also provided, such as correlation plots between different lifetime risk metrics and the efficacy of user-defined recovery-based checking procedures. 

This project enables replication of the paper's results and reuse of the methodology to evaluate recovery-based objectives for other building types and locations. The code can be adapted to study different performance objectives and building typologies. The methods are relevant for researchers and engineers involved in developing building code provisions or project-specific recovery-based design applications.
DOI: 10.17603/ds2-hb9y-bn38
title: National Central University Centrifuge Experiments of the Seismic Interaction of a Liquefiable Soil with a Cantilever Retaining Wall
title: in LEAP-RPI-2020: Seismic interaction of a liquefiable soil with a cantilever retaining wall

description: Four centrifuge tests (NCU1, NCU2-1, NCU2-2, NCU3) were conducted at National Central University (NCU) to evaluate the seismic response of sheet-pile retaining structures in liquefiable soils for the 2020 Liquefaction Experiments and Analysis Project (LEAP-RPI-2020).
description: The Liquefaction Experiments and Analysis Projects (LEAP) is an international collaboration to develop a databank of high-quality centrifuge experimental data and to use this data in calibration and validation of numerical tools of soil liquefaction and associated consequences. LEAP-2020 investigated the performance and seismic interaction of a liquefiable (Ottawa sand) soil with a cantilever retaining wall. A total of twenty-three centrifuge model tests were performed at eight centrifuge facilities, as part of a round robin testing program. The experimental results of these tests are published and shared in this archive as eight separate experiments (one experiment per centrifuge facility). Each “experiment” includes a number of tests and each model test includes one or multiple destructive input excitations. The conducted tests cover a broad range of soil relative densities and input motion conditions. These tests provide valuable information on the trends and sensitivity of the soil-retaining wall response to variations in shaking intensity and soil relative density. The eight centrifuge facilities involved in LEAP-2020 program included Ehime University (Japan), KAIST (Korea), Kyoto University (Japan), National Central University (Taiwan), Rensselaer Polytechnic Institute (USA), University of California Davis (USA), University of Cambridge (UK), and Zhejiang University (China). The “Experimental Data Archive Overview” document provides an outline of the associated organization.
DOI: 10.17603/ds2-6473-fs88
title: Subsurface Characterization of Iskenderun - 2024
title: in Subsurface Characterization of Selected Liquefaction Case Histories - 2023 Kahramanmaras Earthquake Sequence

description: This dataset comprises a subsurface characterization of key liquefaction areas in İskenderun, Türkiye, following the February 6, 2023, Kahramanmaraş earthquake sequence. Field testing was conducted from March 18 to March 27, 2024.

The dataset includes Cone Penetration Tests (CPT) as well as seismic CPTs (SCPT) and incorporates pore pressure dissipation measurements, shear wave velocities, and standard CPT readings. High-quality subsurface investigations, such as this dataset, are a key component of liquefaction case histories. As such, this data is vital for future analyses of liquefaction-induced building settlements, building-ground interactions, and liquefaction-induced ground deformations resulting from the Kahramanmaraş earthquake sequence.

description: This dataset comprises a subsurface characterization of key liquefaction areas in Türkiye following the February 6, 2023, Kahramanmaraş earthquake sequence. Two Field testing campaigns were conducted in 2023 and 2024.

The dataset includes Cone Penetration Tests (CPT) as well as seismic CPTs (SCPT) and incorporates pore pressure dissipation measurements, shear wave velocities, and standard CPT readings. High-quality subsurface investigations, such as this dataset, are a key component of liquefaction case histories. As such, this data is vital for future analyses of liquefaction-induced building settlements, building-ground interactions, and liquefaction-induced ground deformations resulting from the Kahramanmaraş earthquake sequence.
DOI: 10.17603/ds2-c5h0-2a97
title: Analysis of Model Wood-Frame Houses

description: Two 1:6 model wooden houses were impacted by waves, with one on stilts. The pressure under the elevated house was analyzed with pressure gauges. The natural frequency of the houses was analyzed using accelerometers. The stiffness was analyzed using a stringpot which measures the displacement of the house and a load cell which measures the tension of a cable which pulled the house. These results can be used to predict the impact on houses during storms, which would enable improvement of legal codes.
DOI: 10.17603/ds2-sf10-w836
title: SFINCS and ADCIRC Modeled Present and Future Flood Extents for Hurricanes Florence, Matthew, and Floyd

description: This project includes SFINCS (Super-Fast INundation of CoastS) and ADCIRC model outputs of hurricane flood depths.  We simulated water levels for Hurricanes Florence (2018), Matthew (2016), and Floyd (1999) across North and South Carolina on the U.S. Atlantic coast in the present (hindcast) and a future climate (4 degrees C of warming). The ADCIRC results are simulations of coastal processes (e.g., tides, storm surge). The SFINCS results are simulations of runoff (e.g., streamflow, rainfall) and coastal processes. 

Full details on this work are in the corresponding journal article (open access!): https://www.nature.com/articles/s44304-024-00046-3

Grimley, L.E., Hollinger Beatty, K.E., Sebastian, A. et al. Climate change exacerbates compound flooding from recent tropical cyclones. npj Nat. Hazards 1, 45 (2024). https://doi.org/10.1038/s44304-024-00046-3
DOI: 10.17603/ds2-ydfc-cd47
title: CPT-Based Liquefaction Case Histories Resulting from the 2010-2016 Canterbury,  New Zealand, Earthquakes: A Curated Digital Dataset

description: Earthquakes occurring over the last decade in the Canterbury region of New Zealand have resulted in liquefaction case-history data of unprecedented quantity. This provides the profession with a unique opportunity to advance the prediction of liquefaction occurrence and consequence. Towards that end, this study presents a curated dataset containing over 15,000 CPT-based liquefaction case-histories compiled from three earthquakes in Canterbury. The compiled, post-processed data is presented in a dense array structure, allowing researchers to easily access and analyze a wealth of information pertinent to free-field liquefaction response (i.e., triggering and surface manifestation). Research opportunities using this data include, but are not limited to, the training or testing of new and existing liquefaction-prediction models. The many methods used to obtain and process the case-history data are detailed in an accompanying data paper, as is the structure of the compiled digital file. Recommendations for analyzing the data are also outlined therein, including nuances and limitations that users should carefully consider.
DOI: 10.17603/ds2-0ppa-z853
title: Establishing a Social Research Infrastructure for Hazards and Disaster Studies – Alberta, 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 designated post-secondary education organizations in Alberta, Canada (https://www.alberta.ca/designated-post-secondary-institutions-alberta.aspx). Accordingly, data were collected from the official institution websites of twelve publicly funded universities, thirteen publicly funded colleges, 56 private career colleges, eleven private faith based institutions, fifteen flight schools and two professional schools.  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 Alberta 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/ds2-5v0v-vx58
title: Creating XML
title: in A Hetero-functional Graph of the Future American Electric Power System XML

description: This project was used to create the hetero-functional graph theory compliant XML that was used in the IEEE Access paper "A Hetero-Functional Graph Resilience Analysis of the Future American Electric Power System.
description: This project can be used to recreate the test case, Hetero-functional graph theory (HFGT) compliant, XML input file that was used in the IEEE Access journal paper “A Hetero- functional Graph Resilience Analysis of the Future American Electric Powe System”. This test case was created using the Platts Map Data Pro Datasets 2016 electric grid layers. After processing and cleaning the GIS layers into a HFGT compliant XML, the file can be converted into a HFG and resilience analysis can be run.
DOI: 10.17603/ds2-64b5-f928
title: Hurricane Evacuation Decision Making in Pinellas County: A Study Focusing on Hurricane Ian
title: in Hurricane Ian Evacuation Decision Making

description: Emergency managers and communications experts work to improve compliance with evacuation orders among residents in hurricane evacuation zones. Hurricane Ian provides an opportunity to learn from residents in Pinellas County about their level of preparedness, perception of risk, and their household evacuation decision. Researchers conducted a digital survey of 1,117 respondents from Pinellas County (as of January 15, 2023) to understand hurricane evacuation decision-making and perceptions during Hurricane Ian. In addition, this report summarizes the respondents’ general evacuation preparedness and their perception of risk that led to them to deciding to go to a shelter or hotel, shelter-in-place, or evacuate elsewhere in response to the threat of Hurricane Ian. This survey was provided as an online survey through Qualtrics, and responses were gathered from October 2022 to January 2023. The survey was available in both English and Spanish. This report acts as a summary of preliminary findings; data collection is ongoing to ensure those in the recovery phase have time to participate in the study.
description: Researchers conducted a digital survey of residents impacted by Hurricane Ian in September 2022, with 1393 respondents as of January 8, 2022, to understand hurricane evacuation perceptions and hurricane preparedness. With the new use of meteorological messaging and maps used during the 2022 Hurricane season, this survey also explored the perceptions of storm surge predictions and the visualization of the hurricane track cone with their evacuation decision-making. This report summarizes the respondents’ preparedness to handle Hurricane Ian and their risk perceptions that led to their decision to sheltering-in-place, go to an emergency shelter, or evacuate elsewhere when threatened by Hurricane Ian. This survey was provided as an online survey through Qualtrics, and responses were gathered from October 2022 to March 2023.
DOI: 10.17603/ds2-742z-v904
title: Examining the Effect of Porosity on the Soil Water Retention Curve

description: Participated in a project that explored how the porosity of a soil sample affects the outcome of the soil water retention curve. The data that was used to plot the soil water retention curves was captured from numerical simulations and can provide insight into the effect of porosity, or inversely, density, on the properties of soil. This research area has only recently become popular, and this experiment is a general foundation for future research. Thus, this work could help support researchers of unsaturated soils in works to come.