cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-9ph0-vd80
title: Mechanical Testing
title: in Physico-Mechanical Characterization of Homogeneity and Isotropy of Prototype Earth Block Material

description: Compressed and stabilized earth blocks (CSEBs) are typically manufactured through one-side compaction. The resulting soil matrix-hydrated cement microstructure is heterogeneous, posing the question of whether CSEB materials can be considered homogeneous and isotropic for the purpose of analysis of CSEB structures, similar to rammed earth. As earth masonry emerges as a sustainable material for affordable and high-quality dwellings, addressing this question becomes relevant to define constitutive models for analysis and design, and interpret material test data for quality assurance and control.
This paper reports on a study of a representative CSEB material made of a lean clay and 6% of ordinary Portland cement by weight of soil. Cube specimens were saw-cut from different locations of CSEBs (i.e., corners, middle third), which were manufactured using a hydraulic press. Scanning electron microscopy images were used to gain visual evidence of the microscale and mesoscale heterogeneity. Energy-dispersive X-ray spectroscopy data were used to gain quantitative information on the chemical composition and its spatial distribution. Eighty-four cube specimens were tested under uniaxial compressive loads, either parallel or perpendicular to the compaction direction. One-way analysis of variance was enlisted to characterize the statistical significance of the difference between the mean compressive strength for different specimen groups. These groups were intended to assess the influence of location of the saw-cut cube in the source block to investigate homogeneity, and load direction to investigate isotropy. It is concluded that the representative CSEB material can be regarded as homogeneous and isotropic in terms of mechanical properties.
description: The objective was to investigate the extent to which the inherent physical heterogeneity of a prototype compressed and stabilized earth block (CSEB) material affects the variability of compressive strength and stiffness as a function of location within a given block and compressive load direction (vis-à-vis the compaction pressure direction). To that end, from each sourced CSEB, two specimens were tested per loading direction (i.e., X, Y, and Z). Moreover, the specimen location (C or M) was considered when assigning the loading direction to guarantee the random combination of both variables. The results were interpreted as a function of the location to assess the material homogeneity and the load direction to evaluate the material directional dependence. The combined results of ANOVA and Levine’s test suggest that all data groups belong to the same population and that a single probability distribution can be used to describe the variability of all results. It was concluded that the compression strength and initial tangent stiffness are homogeneous and isotropic properties for the prototype CSEB.
DOI: 10.17603/ds2-fhf3-ga95
title: 2022 Hurricane Ian Data
title: in Public longitudinal panel surveys collected during and after hazardous weather threats: Hurricanes

description: This mission focused on understanding how people’s information seeking behaviors, risk perceptions, and protective actions evolved in the days before, during, and after Hurricane Ian (2022) impacted the U.S. mainland.  Longitudinal panel survey data  (i.e., repeated surveys of the same people) were collected from residents of Mississippi, Alabama, Florida, Georgia, South Carolina, and North Carolina who resided within 100 miles of the coast.  This mission includes three social science collections; 1) the area sampling frame, 2) the wide format survey data collected from our four fielding waves that has been cleaned, relabelled, and recoded for analysis, and 3) the cleaned, relabelled, and recoded survey data transformed to long (person-period) format that has been integrated with official weather-related risk products data. 
description: These are novel datasets of longitudinal panel survey data (i.e., repeated surveys of the same people) when a hurricane is threatening and approaching landfall in the mainland U.S. and after the hurricane has dissipated. Three survey waves were collected pre-landfall when the hurricane was threatening (the threat / predictive phase), and one survey wave was collected post-storm (post landfall or dissipation). The three waves of data collected during the predictive phase measured what forecast and other risk information respondents were getting, respondents' risk perceptions, and respondents' protective behavioral responses, all pertaining to the hurricane risks at that time. The data collected during the post-storm wave correspondingly measured what forecast and other risk information was most useful and what people's actual experiences were with the hurricane. Such rapidly deployed, event-based, repeated-measure data for hurricanes are novel. This project includes datasets for the following hurricane events: Hurricanes Laura and Marco in 2020, Hurricane Henri in 2021, and Hurricane Ian in 2022.
DOI: 10.17603/ds2-ksqr-nd08
title: Modular Testbed Building Shakedown Test Program 
title: in NHERI UC San Diego LHPOST6 Modular Testbed Building (MTB2)

description: The Modular Testbed Building was constructed on UC San Diego's LHPOST6, and tested with three different lateral force resisting systems.
description: A large-scale testbed building was designed and shake-down tested on the newly upgraded Large High Performance Outdoor Shake Table (LHPOST6) at the University of California at San Diego. The testbed building is designed to be reusable by researchers to enable low-cost testing of components and systems under simulated dynamic 3D loading, including but not limited to seismic protective systems, lateral force resisting systems, and nonstructural systems. The building will support a critical need to broaden the participation of LHPOST users by offering them a customizable “vehicle” to deliver seismic demands to components or subsystems of interest. The availability of the proposed testbed structure will save time and resources in future research projects. This dataset documents the shake-down specimen testing, including providing detailed construction drawings, photos and videos taken during construction, testing and de-construction; and shake table test data for future use of the model building and/or portions to re-erect in future formats. In addition, finite element models in ETabs built to aid in pre-test planning and related publications documenting the program are included in the archived dataset.
DOI: 10.17603/ds2-r1pk-m585
title: LiDAR and anemometer deployment in Satellite Beach, FL, April - June 2022
title: in LiDAR and anemometer measurements during extended field tests in Satellite Beach, FL

description: LiDAR and anemometer data collection period from 27 April - 10 June 2022 at a residential test site in Satellite Beach, Florida (Latitude 28.175748°, Longitude -80.593326°).  An FIT WSNS anemometer (RM Young model 01503V) was mounted on a mast (5.8 m AGL) along the east roof gable, data were recorded at 1 Hz. Additionally the WSNS barometric pressure sensor (Young Gill Pressure Port model 61002) was placed in front of the house (~1 m AGL) and recorded data at 10 Hz.  The FIT LiDAR wind profiler (ZephIR 300) was placed in a secured residential backyard ~ 50 m across the street, sampling at 11 heights between 11 m and 120 m AGL (measurement levels, m AGL: 11, 15, 25, 30, 39, 50, 60, 70, 85, 100, 120). A full volume scan is completed approximately every 20 seconds. 

Additional meteorological data (ambient air temperature, relative humidity, and barometric pressure) were collected from an independent Airmar meteorological station on top of the LiDAR at 1 m AGL. 

The calibrated pressure and anemometer data along with LiDAR wind data are available for viewing and download. More information on the datasets can be found in supporting documents
description: Florida Tech’s LiDAR wind profiler (ZephIR 300) and Wireless Sensor Network System (WSNS) anemometry / barometric pressure sensor were deployed for three extended periods during typical weather conditions at the WSNS residential test site in Satellite Beach, Florida (Latitude 28.175748°, Longitude -80.593326°). The first of the collection periods took place 27 April - 10 June 2022. The second was from 1 October - 7 November 2022, between hurricanes Ian and Nicole. The third and final collection period took place from 8 November 2023 - 14 March 2024. 

For both data collection periods, an RM Young anemometer (model 05103 V) was mounted to the test residence east roof gable at a height of 5.8 m AGL. The anemometer, part of the WSNS system, sampled winds at 1 Hz. A Young Gill pressure port (model 61002) was also deployed as part of the WSNS system to measure absolute barometric pressure (~ 1 m AGL, 10 Hz) at the test location. The Florida Tech LiDAR was placed in a secured yard ~ 50 m across the street and configured to measure at 11 different range gates which differ for each experiment.  Additional meteorological data (ambient air temperature, relative humidity, and barometric pressure) were collected from an independent Airmar meteorological station on top of the LiDAR at 1 m AGL.  

The calibrated pressure and anemometer data along with LiDAR wind data are available for viewing and download.  Each data collection period is published as a different experiment. More information on the available datasets can be found in each experiment description and supporting documents. The project aims to collect and relate wind data from near roof height to that above the canopy layer for wind loading purposes as well as surface roughness estimations.
DOI: 10.17603/ds2-rv0x-v808
title: 2024 Social Science Extreme Events Research (SSEER) Network 
title: in Social Science Extreme Events Research (SSEER) Network Data, Survey Instrument, and Annual Census

description: This project includes a survey instrument, data, and annual census reports from the National Science Foundation (NSF)-funded Social Science Extreme Events Research (SSEER) network, which is headquartered at the Natural Hazards Engineering Research Infrastructure (NHERI) CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder. The SSEER network, which was launched in 2018, was formed, in part, to respond to the need for more specific information about the status and expertise of the social science hazards and disaster research workforce. The mission of SSEER is to identify and map social scientists involved in hazards and disaster research in order to highlight their expertise and connect social science researchers to one another, to interdisciplinary teams, and to communities at risk to hazards and affected by disasters. Ultimately, the goals of SSEER are to amplify the contributions of social scientists and to advance the field through expanding the available social science evidence base. To see the SSEER map and to learn more about the SSEER initiative, please visit:  https://converge.colorado.edu/research-networks/sseer. All social and behavioral scientists and those in allied disciplines who study the human, economic, policy, and health dimensions of disasters are invited to join this network via a short online survey. This DesignSafe project includes: (1) the SSEER survey instrument; (2) de-identified data, which is updated annually as new researchers join the SSEER network and returning members update their information; and (3) SSEER annual census reports. These resources are available to all who are interested in learning more about the composition of the social science hazards and disaster workforce. SSEER is part of a larger ecosystem of NSF-funded extreme events research and reconnaissance networks designed to help coordinate disciplinary communities in engineering and the sciences, while also encouraging cross-disciplinary information sharing and interdisciplinary integration. To learn more about the networks and research ecosystem, please visit: https://converge.colorado.edu/research-networks/.
description: This dataset includes information regarding  1,775 social science researchers who signed up for the Social Science Extreme Events Research (SSEER) network between July 8, 2018 and December 31, 2024. Researchers’ information is collected via an online survey that consists of 19 questions and takes approximately 7 minutes to complete. The envisioned audience for this data and other information includes those who are interested in learning more about the composition of the social science hazards and disaster research workforce, the events that they study, and their skills and expertise.
DOI: 10.17603/ds2-tkjx-rf45
title: 2019 Social Science Extreme Events Research (SSEER) Network
title: in Social Science Extreme Events Research (SSEER) Network Data, Survey Instrument, and Annual Census

description: This dataset includes information regarding 949 social science researchers who signed up for the Social Science Extreme Events Research (SSEER) network between July 8, 2018 and December 31, 2019. Researchers’ information is collected via an online survey that consists of 19 questions and takes approximately 7 minutes to complete. The envisioned audience for this data and other information includes those who are interested in learning more about the composition of the social science hazards and disaster research workforce, the events that they study, and their skills and expertise.
description: This project includes a survey instrument, data, and annual census reports from the National Science Foundation (NSF)-funded Social Science Extreme Events Research (SSEER) network, which is headquartered at the Natural Hazards Engineering Research Infrastructure (NHERI) CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder. The SSEER network, which was launched in 2018, was formed, in part, to respond to the need for more specific information about the status and expertise of the social science hazards and disaster research workforce. The mission of SSEER is to identify and map social scientists involved in hazards and disaster research in order to highlight their expertise and connect social science researchers to one another, to interdisciplinary teams, and to communities at risk to hazards and affected by disasters. Ultimately, the goals of SSEER are to amplify the contributions of social scientists and to advance the field through expanding the available social science evidence base. To see the SSEER map and to learn more about the SSEER initiative, please visit:  https://converge.colorado.edu/research-networks/sseer. All social and behavioral scientists and those in allied disciplines who study the human, economic, policy, and health dimensions of disasters are invited to join this network via a short online survey. This DesignSafe project includes: (1) the SSEER survey instrument; (2) de-identified data, which is updated annually as new researchers join the SSEER network and returning members update their information; and (3) SSEER annual census reports. These resources are available to all who are interested in learning more about the composition of the social science hazards and disaster workforce. SSEER is part of a larger ecosystem of NSF-funded extreme events research and reconnaissance networks designed to help coordinate disciplinary communities in engineering and the sciences, while also encouraging cross-disciplinary information sharing and interdisciplinary integration. To learn more about the networks and research ecosystem, please visit: https://converge.colorado.edu/research-networks/.
DOI: 10.17603/ds2-wera-v784
title: Integrated Time Average Shear Wave Velocity to a Depth of 30 Meters (Vs30) Map of Texas

description: Vs30 is an important parameter used for characterizing site response in seismic analysis. With new measurements of Vs30 in Texas, we are able to create an integrated Vs30 map for Texas that is based on (1) available observations of Vs30 in Texas, Oklahoma and Kansas, (2) a geologic proxy for Vs30 based on rock type and geologic age, and (3) geostatistical kriging that integrates the geologic proxy predictions of Vs30 along with the Vs30 observations. The integrated map has various uses in seismic analysis and geotechnical engineering, including but not limited to estimating site response, development of ground motion prediction equations, and quantifying physical properties of geologic units. This dataset contains a grid file representing the integrated Vs30 map, as well as the data and scripts required to re-create the map. Please reference the READ_ME document for more detailed descriptions of each file.
DOI: 10.17603/ds2-44rx-y752
title: Geophysical Dataset for Site Characterisation Considering Seismic Anomalies
title: in Anomalous Seismic Site Response in the Geological Deposits of Kashmir Valley, Jammu and Kashmir

description: The project involved the documentation of anomalous dynamic behaviour of the geological deposits of Kashmir Valley, Jammu and Kashmir, through MASW/MSOR and MHVSR testing. About nine such cases have been reported through these tests. This project may help in the modification of the existing code-based seismic site classification techniques. Geotechnical earthquake engineers may analyse this data for further understanding of the phenomena.
description: Various geological anomalies were identified with the help of geophysical testing. Active survey was conducted using Multichannel analysis of surface waves (MASW) and Multichannel simulation with one-receiver (MSOR) testing methods. Passive survey was conducted using microtremor recordings. This dataset may be useful for earthquake engineering practitioners to develop a better understanding of the dynamic behaviour of the soils.
DOI: 10.17603/ds2-4cy3-vk40
title: Earthquake simulator experiments on a seismically isolated, cylindrical, fluid-filled vessel
title: in Earthquake responses of a seismically isolated, cylindrical, fluid-filled vessel

description: Earthquake-simulator experiments were conducted on a fluid-filled, cylindrical vessel, base isolated using four single concave friction pendulum bearings (SFP isolators), utilizing a six-degrees-of-freedom earthquake simulator at the University at Buffalo. Hydrodynamic responses of the fluid, including sloshing wave height and hydrodynamic pressure on the wall of the vessel, and isolation-system responses were recorded in the experiments. The experiments and the obtained dataset are unique in terms of their scale and complexity, and completeness, respectively. The dataset can be used to validate numerical models of base-isolated, fluid-filled vessels, and as such can be useful to analysts in the civil, nuclear, chemical, and mechanical industries.
description: A base-isolated, water-filled cylindrical vessel, with a geometry that approximately represents a 1/10th length-scale model of a prototype reactor vessel, was tested on an earthquake simulator at the University at Buffalo. The vessel, 2 m in height, was filled with water to a height 1.6 m, and was seismically isolated at its base using four single concave friction pendulum bearings. A unidirectional earthquake input and three tri-directional inputs, with peak acceleration amplitudes spanning a wide range of 0.1g - 0.88g, were used for testing. The ensuing hydrodynamic responses of the contained fluid and the force, acceleration, and displacement responses of the vessel and the isolation system were recorded. The experiments provide a first-of-a-kind dataset that could be used to characterize a solver’s capabilities and limitations when constructing numerical models of base-isolated liquid-storage containers in a finite element package.
DOI: 10.17603/ds2-4xv5-qc41
title: StEER: 2024 Hualien City Earthquake Annotated Media Repository
title: in StEER- 2024 Hualien City, Taiwan Earthquake

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.
description: On April 3, 2024, a magnitude 7.4 earthquake, known as the 2024 Hualien Earthquake, struck offshore Hualien, Taiwan, at a depth of 15.5 km. 
Overall, the negative societal impacts were limited, despite varying levels of impact to the infrastructure, including power outages affecting over 308,000 households, landslides obstructing roads, bridge collapses, and railway deformations. Taiwan’s fast recovery is credited to its robust earthquake preparedness and disaster mitigation strategies.
Given this event’s strong potential to generate new knowledge, StEER considered activating its standard Level 1 response. However, upon consulting with colleagues in the National Center for Research on Earthquake Engineering (NCREE), StEER opted to instead play a supporting role to NCREE efforts already locally documenting the event, and an official response page was instituted at the StEER website to house any products generated by this collaboration. NCREE’s rapid access to the affected area enabled a unique form of Preliminary Virtual Reconnaissance Report (PVRR) that included both data from third-party sources and from the NCREE-field-collected data.
DOI: 10.17603/ds2-5f2s-a291
title: Shake table test of single-degree-of-freedom structure equipped with variable inertia rotational mechanism
title: in Experimental Investigation of a Variable Inertia Rotational Mechanism

description: This project explores the nonlinear behavior of a variable inertia rotational mechanism (VIRM), a passive control device that produces variable inertia during the response of a structure. The VIRM is installed in a small-scale single-degree-of-freedom system that is excited with different forward sine sweep excitation amplitudes using a shake table. The experimental data obtained from the system are used to investigate the effect of the VIRM on the dynamics and performance of the structure and to compare its performance with other passive control mechanisms. This research represents a novel experimental investigation of the VIRM mechanism in a physically realizable building setup, which has not been extensively studied in the literature. The results of this study have potential applications in the design of safer and more cost-effective buildings. The target audience for this research includes researchers in the field of structural protection who seek to explore the potential of VIRM-based designs. The findings from this project were presented at the International Modal Analysis Conference (IMAC) on February 15, 2023.
description: The aim of the experiment was to investigate the dynamic behavior of a single-degree-of-freedom (SDOF) structure incorporating a variable inertia rotational mechanism (VIRM) and to compare it with two other model configurations under different loading amplitudes. To achieve this, the die set apparatus was modified and accelerometers were installed to collect data. The analysis of the collected data, which was performed using MATLAB, revealed that the VIRM configuration exhibited superior vibration suppression performance compared to the other configurations. The data collected during the study provides a valuable resource for further analysis and for validating numerically modeled VIRMs.