cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-c96x-pg70
title: Distributed Acoustic Sensing (DAS) data from the NHERI@UTexas Thumper Shaker Truck and 240m of Fiber Along the Blackhawk Levee
title: in NHERI@UTexas DAS Levee Imaging Workshop

description: On 21-22 October 2021, the NHERI@UTexas experimental facility, in collaboration with the University of California, Berkeley, the U.S. Army Corps of Engineers (USACE), and the Engineer Research and Development Center (ERDC) hosted a workshop on Fiber Optic Distributed Acoustic Sensing (DAS) for Infrastructure Engineering and Subsurface Imaging.  Day 1 of the workshop was held at the LSU Center for River Studies from 9:00 am to 5:30 pm CST. Videos of presentations from Day 1 of the workshop are available at https://utexas.designsafe-ci.org/workshops/.  Day 2 of the workshop included a field DAS imaging demonstration on a section of Mississippi River levee in Black Hawk, Louisiana, where approximately 2 km of fiber optic cable had been installed in both surface and borehole arrays as a means to image the levee at high spatial resolution and monitor seepage. This section of levee is of particular interest to the USACE because severe seepage was detected during a flood event in 2015. A sand boil on the landward side of the levee prompted an emergency retrofit. The USACE stopped the flow through the sand boil by placing a line of deep relief wells along the landward toe of the levee and covering the surface expression with a gravel pad. The purpose of the DAS imaging campaign is to assess the extent of internal erosion at the site and evaluate the use of DAS for such applications.
This project houses a publicly available DAS dataset from the workshop. More specifically, it contains DAS time histories at approximately 1-m channel separation from a 240-m long section of fiber optic cable buried in a shallow trench at the site. The DAS data was collected with an OptaSense ODH4+ interrogator using a 2-m gauge length. The seismic source for the data acquisition was the NHERI@UTexas Thumper vibroseis truck, which was used to generate vertical dynamic excitation in the form of 12-second long chirps over the frequency range of 5-200 Hz. DAS data acquired from 15 different shot points located parallel to the alignment of the cable are provided. Additional details about the experiment and data collected maybe found in the README file accompanying the dataset.
description: This dataset was collected at the Black Hawk Levee using the NHERI@UTexas ODH4+ DAS interrogator and Thumper vibroseis truck. The dataset was collected on 10/22/2021.
DOI: 10.15468/dl.d5sbd5
title: Occurrence Download

description: A dataset containing 339 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.47205 36.66476,-4.44791 36.66476,-4.44791 36.6806,-4.47205 36.6806,-4.47205 36.66476))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 339 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015640-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-ast4-s489
title: Monitoring Freshwater Algal Blooms in a Small Lake using Drone Technology
title: in Teresi Master's Thesis Project 

description: Freshwater cyanobacterial harmful algal blooms (HCBs) pose a significant public health threat to the world’s freshwater supply, including for potable drinking water, recreation, and subsistence-based and sport fishing. The occurrence of toxic blooms in recreational water bodies and potential human exposure to toxins will increase with a warming climate, necessitating novel methods to characterize blooms and communicate risk. Remotely piloted drones with high-resolution cameras can be an effective environmental monitoring tool to track an HCB in smaller scale lakes. This project examined the use of drone-derived aerial imagery to estimate levels of chlorophyll-a--the photosynthetic pigment found in all algae and cyanobacteria--and compared it with chlorophyll-a concentrations analyzed in the lab from lake water samples. Incorporating drones as a supplemental monitoring tool to estimate chlorophyll-a levels in a lake may help freshwater managers better anticipate HCBs and better communicate this human health hazard to the public.
description: Freshwater cyanobacterial harmful algal blooms (HCBs) present a mounting threat to public health outcomes and lake ecosystem services. Novel technological approaches in remote sensing are increasingly applied as an environmental monitoring tool for timely detection of HCBs. For this study, the authors used remotely piloted unoccupied aerial systems (UASs) equipped with high-resolution visible light (RGB) and multispectral cameras to capture imagery at an urbanized lake in Washington State. Color band manipulation of the imagery was leveraged to estimate levels of chlorophyll-a (chl-a)—the photosynthetic pigment found in all algae and cyanobacteria—as a proxy for phytoplankton biomass at the lake surface. Using linear regression modeling, the authors tested ten vegetation indices against lake water samples collected for chl-a validation. The best estimates of chl-a variation were provided by the Color Index of Vegetation Extraction (CIVE) index (R2 = 0.45, p < 0.001). Challenges associated with this UAS application were documented and insights into optimal field operation and environmental conditions needed for successful implementation were identified. Raw image data were collected by a DJI Phantom 4 Pro+ RTK and a DJI Matrice 210 V2. This raw data can be reused to process the imagery differently for future analysis.
DOI: 10.17603/ds2-s1wr-b775
title: High Fidelity Numerical Modeling of HPFRCC Beams and Columns
title: in Plastic Hinge Length in Reinforced HPFRCC Beams and Columns

description: This project includes datasets related to numerical simulations of plastic hinge length in reinforced HPFRCC beams and columns. The data available here is available to accompany published articles on this topic.
description: The plastic hinge behavior of HPFRCC beams and columns is investigated across various design parameters including material performance characteristics, component geometry, and axial loading. Leveraging high fidelity numerical modeling in DIANA FEA, the simulated plastic hinge length of 180 components was used to calibrate new plastic hinge length expressions. The data and corresponding expressions can be used to accurately predict the plastic hinge length of HPFRCC components within structures.
DOI: 10.17603/ds2-e2vq-nq61
title: StEER 2022 Mw 5.6 Indonesia Earthquake Preliminary Virtual Reconnaissance Report (PVRR)

description: The first product of StEER’s Level 1 response to the M5.6  Indonesia  Earthquake is this Preliminary Virtual Reconnaissance Report (PVRR), which is intended to:
 (1) provide details of the November 22 M 5.6 earthquake, (2) summarize the tectonic features of the event, (3) synthesize the recording ground motions and provide comparisons with design-level shaking, (4) briefly encapsulate the local building codes and construction practices and (5) provide a preliminary assessment of the damage to buildings and other infrastructure as well as the broader societal impacts. The PVRR includes both the official report as well as a supplementary media repository containing additional imagery gathered by the VAST. As the product of entirely virtual reconnaissance, the PVRR is not based upon detailed field investigations by StEER.
DOI: 10.17603/ds2-b3r1-t106
title: Wave 3a

description: The Wave 3a Mission of the field study collected data in Lumberton, NC after Hurricane Florence in mid October 2018. The primary objective of this Mission was to establish and document initial conditions after the flooding associated with Hurricane Florence. Data was collected through a building damage survey instrument using the ArcGIS Survey123 app. This study visited the longitudinal household and business samples and included new households that were estimated to have been flooded by Hurricane Florence. Collections in this Mission currently include select building characteristics for fragility analysis.
DOI: 10.17603/ds2-necm-5q32
title: Earthquake Dataset for the Study of Small Magnitude Earthquakes in the San Francisco Region

description: Small magnitude earthquake recordings from the San Francisco Bay Area region.
DOI: 10.17603/ds2-1p5e-1v55
title: Modern RC Bridge Column Experimental Database

description: Test Data of 222 Circular and 68 Rectangular RC Bridge Columns
DOI: 10.17603/ds2-fzpa-e182
title: Database for research project entitled Shear Behavior of PCI-UHPC Members Considering Size Effects
title: in Shear Behavior of PCI-UHPC Members Considering Size Effects

description: This project investigated the size effects in ultra-high-performance concrete (UHPC) using the Universal Panel Tester (UPT) at the University of Houston. The experimental program included five shear panels of varying depths and widths, complemented by uniaxial tensile tests and fiber alignment analyses. Two sources of size effect were identified in the panel tests: (1) the depth size effect, recognized previously for conventional concrete, and (2) a fiber alignment effect, which varies with the formwork size in the direction of casting. Test data showed that the depth size effect is less pronounced in UHPC than conventional concrete. Existing UHPC beam shear datasets corroborated the fiber alignment effect observed in panels while showing that it can vary with the fiber dimensions.
description: This dataset presents an experimental study that investigates the size effects in the shear behavior of ultra‐high‐performance concrete (UHPC). The experimental work was performed using the Universal Panel Tester (UPT) facility at the University of Houston. Shear panels of varying depths and widths were tested with consideration to two sources of size effects: the depth size effect—recognized in conventional concrete—and a fiber alignment effect. Companion tests, including compression and uniaxial tensile tests along with fiber alignment tests, were conducted to evaluate the material properties of UHPC and quantify fiber distribution. Test results indicated that the depth size effect in UHPC is less pronounced than in conventional concrete, while the fiber alignment effect is influenced by the formwork dimensions in the direction of casting. These findings underline the significance of accounting for member size, geometry, and casting approach when evaluating the shear behavior of UHPC.
DOI: 10.17603/ds2-3cca-f398
title: Post-Hurricane Damage Assessment Using Satellite Imagery and Geolocation Features

description: This project introduces a novel hurricane damage assessment framework to identify damaged buildings based on publicly available satellite imagery and geolocation features. Using Keras and other image processing libraries, we developed a computer vision script to process the images and predict whether a building is damaged or flooded. The dataset is comprised of the imagery used in this project and a csv file that contains the geolocation features. The dataset showcases images from the 2017 Hurricane Harvey in Texas, which is extracted from the Maxar Open Data Program. The geolocation features were obtained using OpenStreetMap API, Google Maps Platform, and QGIS. This dataset can be used to experiment with other damage assessment frameworks.
DOI: 10.17603/ds2-h42v-z161
title: MATLAB Code - Design of Dissipative Multimaterial Viscoelastic-Hyperelastic Systems at Finite Strains via Topology Optimization

description: This work provides topology optimization framework for the design of multimaterial dissipative systems at finite strains.
DOI: 10.17603/ds2-0dax-sq27
title: StEER: Hurricane Idalia Preliminary Virtual Reconnaissance Report (PVRR)
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 Preliminary Virtual Reconnaissance Report (PVRR) explores these topics as the primary product of StEER’s Level 1 response to Hurricane Idalia, intended to:
1. provide an overview of the hurricane, particularly relating to the wind and storm surge hazards and their impacts on the built environment, 
2. overview the regulatory environment and construction practices in the affected area,
3. synthesize preliminary reports of damage to buildings and other infrastructure, 
4. provide recommendations for continued study of this event by StEER and the wider engineering reconnaissance community.
DOI: 10.17603/ds2-5y2t-c443
title: Kyoto 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: Three centrifuge tests (KyU1, KyU2, KyU3) were conducted at Kyoto University (KyU) to evaluate the seismic response of sheet-pile retaining structures in liquefiable soil 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-daer-ka54
title: Community Focus Group Interviews
title: in RAPID: Exploring Impacts of Cascading Failure and Recovery Efforts of Interdependent Critical Infrastructure in Socially Vulnerable Puerto Rican Communities After Hurricane Fiona

description: Collect data related to community impacts from failed critical infrastructure after Hurricane Fiona in Puerto Rico.
description: To explore how the failure of the electric grid and the transportation infrastructure impacted socially vulnerable communities in the aftermath of Hurricane Fiona and understand how the recovery and reconstruction efforts of these interdependent infrastructures are prioritized for rapid recovery of the communities.
DOI: 10.17603/ds2-s5df-b284
title: Conducting Effective and Respectful In-Depth, Semi-Structured Interviews—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet outlines strategies for ensuring that interviews conducted in post-disaster settings are effective while remaining respectful and mindful of participants and their special needs. The check sheet describes how to implement techniques such as active listening, attentive body language, and maintaining situational awareness. 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: 10.5281/zenodo.14734772
title: Taxonomy of amorphous ternary phase diagrams: the importance of interaction parameters

description: Data base containing the phase diagrams simulated by screening the interaction parameters space for different material systems and the phase diagrams simulated that fit the experimental measurements.
DOI: 10.5281/zenodo.14734773
title: Taxonomy of amorphous ternary phase diagrams: the importance of interaction parameters

description: Data base containing the phase diagrams simulated by screening the interaction parameters space for different material systems and the phase diagrams simulated that fit the experimental measurements.
DOI: 10.5281/zenodo.15268527
title: Taxonomy of amorphous ternary phase diagrams: the importance of interaction parameters

description: Data base containing the phase diagrams simulated by screening the interaction parameters space for different material systems and the phase diagrams simulated that fit the experimental measurements.
DOI: 10.25403/upresearchdata.28854608
title: Shortening and refinement of an audit climate measure

description: <pre><sup>Measuring audit firm culture is increasingly important to regulators and audit standards, focusing on the need for a quality-oriented culture. A recent study linked audit firm culture to audit quality using bifactor modeling to refine the existing audit quality climate measures. This model was tested with employees from fourteen English-speaking supreme audit institutions in Africa. The resulting 22-item audit quality climate scale includes one general factor and six specific factors, along with suggestions for future research. This streamlined scale offers a practical framework for understanding and applying audit quality factors.</sup><br><br><sup>- 1_fact_14_1_16_1_16_3_AQC-scale.out : Mplus output for the 1-factor model of the AQC without items 14_1, 16_1 and 16_3 (Table 5 in Article)</sup><br><br><sup>- bi_esem_14_1_16_1_16_3_AQC-scale.out : Mplus output for the Bi-factor model of the AQC without items 14_1, 16_1 and 16_3 (Table 5 in Article)</sup><br><br><sup>- CFA_AQC-scale.out: Mplus output for the CFA model (Table 2A in Article)</sup><br><br><sup>- ESEM AQC-scale.out : Mplus output for the ESEM model (Table 2A in Article)</sup><br><br><sup>- 1-fact AQC-scale.out ; Mplus output for the 1-factor model (Table 3A in Article)</sup><br><br><sup>- bi_esem_AQC-scale.out: Mplus output for the bifactor ESEM model (Table 3A in Article)</sup><br><br><sup>- DATA AQC-scale xlsx file: Data for the AQC file. The xlsx file contains an additional sheet with biographical included in Q1-Q9 (The first row of xlsx file contains item names)</sup><br><br><sup>- bi-fact_esem AFQC: Bifactor model for the Kritzinger and Barac (2025) (Table 1A in Article)</sup><br><br><sup>- DATA_AFQC xlsx: Kritzinger and Barac (2025) Data (The first row of xlsx file contains item names)</sup></pre>
DOI: 10.25403/upresearchdata.28854608.v1
title: Shortening and refinement of an audit climate measure

description: <pre><sup>Measuring audit firm culture is increasingly important to regulators and audit standards, focusing on the need for a quality-oriented culture. A recent study linked audit firm culture to audit quality using bifactor modeling to refine the existing audit quality climate measures. This model was tested with employees from fourteen English-speaking supreme audit institutions in Africa. The resulting 22-item audit quality climate scale includes one general factor and six specific factors, along with suggestions for future research. This streamlined scale offers a practical framework for understanding and applying audit quality factors.</sup><br><br><sup>- 1_fact_14_1_16_1_16_3_AQC-scale.out : Mplus output for the 1-factor model of the AQC without items 14_1, 16_1 and 16_3 (Table 5 in Article)</sup><br><br><sup>- bi_esem_14_1_16_1_16_3_AQC-scale.out : Mplus output for the Bi-factor model of the AQC without items 14_1, 16_1 and 16_3 (Table 5 in Article)</sup><br><br><sup>- CFA_AQC-scale.out: Mplus output for the CFA model (Table 2A in Article)</sup><br><br><sup>- ESEM AQC-scale.out : Mplus output for the ESEM model (Table 2A in Article)</sup><br><br><sup>- 1-fact AQC-scale.out ; Mplus output for the 1-factor model (Table 3A in Article)</sup><br><br><sup>- bi_esem_AQC-scale.out: Mplus output for the bifactor ESEM model (Table 3A in Article)</sup><br><br><sup>- DATA AQC-scale xlsx file: Data for the AQC file. The xlsx file contains an additional sheet with biographical included in Q1-Q9 (The first row of xlsx file contains item names)</sup><br><br><sup>- bi-fact_esem AFQC: Bifactor model for the Kritzinger and Barac (2025) (Table 1A in Article)</sup><br><br><sup>- DATA_AFQC xlsx: Kritzinger and Barac (2025) Data (The first row of xlsx file contains item names)</sup></pre>
DOI: 10.48436/8tzsb-xpk78
title: Data repository for the manuscript  "Analytical expression for π-ton vertex contributions to the optical conductivity"

description: This repository contains the data behind the plots of the manuscript

  Analytical expression for π-ton vertex contributions to the optical conductivity

  https://arxiv.org/abs/2409.11158 to appear in SciPos.

 We derive the analytical expression for these pi-ton vertex corrections to the optical conductivity, partially requiring a numerical integration.

The repository contains the data behind the figures of the manuscript.