cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-5jmh-1556
title: NSF BRITE Synergy: Developing and Validating a Framework for Measuring Resilience in Low-Income Housing in the Post-Pandemic World

description: Description:
This NSF-funded project (Award #2135713) investigates resilience in low-income households by examining energy efficiency, appliance use, and adaptive mechanisms among marginalized communities, with a focus on Pennsylvania's urban centers. The research aims to establish pathways to disaster-resilient, healthy, and sustainable cities, where the voices and agency of vulnerable populations are prioritized. Central objectives include identifying resilience capacities, well-being outcomes, and existing adaptive management mechanisms, especially concerning access to efficient appliances and alternative energy sources for low-income households during extreme weather events.

Data Reuse:
This dataset, which spans three rounds of data collection (May 2023, May 2024, and September 2024) targeting the low-income communities in Pennsylvania, is valuable for comparison with U.S. Energy Information Administration (EIA) data and includes questions similar to those from the Residential Energy Consumption Survey (RECS) for comparability. This dataset can be used to investigate household appliance usage, resilience during extreme temperatures, and adoption rates of energy-efficient appliances. The dataset can further inform policies on energy access and efficiency in low-income settings, especially as they pertain to marginalized urban communities.

Uniqueness:
Unlike national datasets, this research integrates community voices and focuses on marginalized, low-income urban populations, revealing their unique energy resilience challenges. Additionally, the study’s structure—collecting data across multiple seasons—enables a nuanced analysis of seasonal influences on energy resilience and appliance use.

Audience:
This dataset will benefit academic researchers in sustainability, policymakers, and public health advocates interested in disaster resilience and low-income energy access. It is also intended for use by local community organizations that support sustainable urban development and resilience-building for vulnerable populations.

Data Collection and Anonymity:
Survey distribution and data collection were conducted in partnership with Centiment, a third-party research company that recruits demographically targeted panels for academic and applied research. For this study, Centiment distributed the survey to residents of low-income, flood-prone communities in Florida, based on geographic and socio-economic criteria specified by the research team.
All personally identifiable information (PII), such as IP addresses, email addresses, and precise geolocation data, was removed prior to uploading the dataset to DesignSafe. The dataset has been reviewed to ensure participant anonymity in accordance with DesignSafe data protection policies and applicable ethical standards.
DOI: 10.17603/ds2-apke-p773
title: Version 1.0 of the landslide inventory for the Mw7.8 14 November 2016, Kaikōura Earthquake
title: in Version 1.0 of the landslide inventory for the Mw7.8 14 November 2016, Kaikōura Earthquake

description: The Mw 7.8 14 November 2016 Kaikoura Earthquake generated many thousands of landslides. In the days and weeks after it our team of scientists started mapping the landslides it generated. Initially this was done using low-resolution satellite imagery captured immediately after the earthquake. Between November 2016 and January 2017, an aerial photograph survey using a fixed wing aircraft was carried out. This survey captured a series of high-resolution photographs of the main area affected by landslides. We used these images and those from a previous aerial survey carried out in 2015, before the earthquake, to map more of the landslides. 

The Version 1.0 landslide inventory contains 10,195 hand-digitised landslides and was completed in August 2017. This version contains mainly the larger landslides (with source areas >10,000 m^2) triggered by the earthquake. 

The Version 1.0 inventory published here are points that represent the centroids of the mapped landslide source areas thought to have been triggered by this earthquake. The version 1.0 data is in CSV format. The data are projected in the NZGD_2000_New_Zealand_Transverse_Mercator Coordinate System.
This data set can be used by others to explore what factors contribute to the occurrence of a landslide during an earthquake, as well as investigating how landscapes can changes as a result of large earthquakes. 

Our plan is to eventually publish multiple versions of the inventory, which will contain the landslide source and debris polygons, along with other landslide attributes such as volume.
description: The Version 1.0 landslide inventory contains 10,195 hand-digitised landslides and was completed in August 2017. This version contains mainly the larger landslides (with source areas >10,000 m^2) triggered by the earthquake. 

The Version 1.0 inventory published here are points that represent the centroids of the mapped landslide source areas thought to have been triggered by this earthquake. The version 1.0 data is in CSV format.
DOI: 10.17603/ds2-ewf0-1r29
title: Wall of Wind validation and calibration tests- SEPTEMBER 2020
title: in Lab Tests with Wireless Sensor Network (WSN) system  for the characterization of strong wind loads on non-structural components

description: The goal is to better understand the interaction of hurricane and other strong wind events with non-structural components of residential structures. The objectives are: 1) to develop a new generation of a wireless pressure monitoring system; 2) to deploy the system in large to full-scale tests at the Wall of Wind (WoW); 3) to measure wind pressures on different non-structural components, for different wind speeds and directions;  4) to analyze field and laboratory data to validate and improve current wind loads recommendations and models for pressure distributions on building components.
description: The September 2020 Wall of Wind experiment validated the performance of Florida Tech’s Wireless Sensor Network System (WSNS) against a Scanivalve (SCV) system by comparing the wind surface pressure measurements from both systems. The sensors were placed on different components (roof, walls, window, door, soffit, and fascia) of a full-scale gable roof house. The test wind speeds varied from 13 m/s to 65 m/s (30 mph to 145 mph), and wind directions varied from 0 to 360 degrees in increments of 45 ̊. The WSNS sensor boards are contained in aerodynamic waterproof casings and measure absolute pressure data. The 10 Hz sampled digital data were uploaded to DesignSafe in quasi-real time. The sensors were tested under both dry and wet conditions. All WSNS sensors were attached to the structural components with wood screws, except for two sensors at the gable ridge end, which were mounted with Velcro and loose screws. 
The surface pressure taps from the SCV system were connected to a SCV pressure scanner with 1 to 2 m long tubes. They sampled differential pressure data at 520 Hz, which were stored locally as MATLAB files to be later uploaded to DesignSafe. The SCV pressure taps were only used in dry test conditions. 
The analyses of WSNS pressure data against SCV data focus on the effect of 1) wind direction and wind speed; 2) WSNS casing; 3) tubes (or lack of them) from tap to pressure scanner; and 4) effect, if any, of wind-driven rain. Calibrated data and relevant files are store in SQLite3 database and are queried and processed using Python scripts using a Jupyter notebook - Performance_Analysis_2020.ipynb.
DOI: 10.17603/ds2-g2aj-9r47
title: Design-Level Events and Residential Construction Performance: Hurricane Laura Case Study

description: This project aims to validate the role of construction codes in reducing losses to the built environment following natural hazard events. The data in this project can and will continue to be used to provide evidence based recommendations to future code amendments and improved compliance practices. The use of Hurricane Laura, a well documented design-level event, provides a wealth of data that can systematically analyze the efficacy of Louisiana's building codes. This research utilizes structural data and specific building attributes, but application extends to natural hazard researchers, social scientists, and the larger civil engineering community.
DOI: 10.17603/ds2-mb3a-1y25
title: Research Experiences for Undergraduates (REU), NSF NHERI 2024: Data-Enabled Validation of Regional Hurricane Damage Models with Variance-Based Sensitivity Analysis: A Case Study of Hurricane Ian

description: This project examined the impact of multiple hurricane damage factors and replicated damage observations using advanced prediction models established in the literature. This was achieved with data-driven validation and variance-based sensitivity analysis workflows using historical data from Hurricane Ian in Fort Myers, Florida. By analyzing the wind, flood, and wave-induced damage models as well as software tools, this work lowers the uncertainty level of models and simulations by pinpointing the importance of their inputs. The intended audience includes those interested in hurricane simulations, data collection, and natural hazards mitigation.
DOI: 10.17603/ds2-q9yb-kx38
title: Emergency Alerts and Disability Access: An Annotated Bibliography
title: in Best Practices and Recommendations for Inclusive Emergency Alerts in Colorado

description: The literature review focused on populations with disabilities and disability access in emergency alert systems. This literature review supports the State of Colorado’s Inclusive Language Bill HB23-1237. Literature included was published in the last 20 years (2003-2023), was in English, and focused on the United States. These references were compiled through searching Web of Science, EBSCOhost, ProQuest, Google Scholar databases, and agency websites.
description: Included here are data and research materials that supported the investigation of emergency alert and warning systems in Colorado developed in accordance with Colorado House Bill 23-1237 (https://leg.colorado.gov/bills/hb23-1237). The aim of the project was to identify how to improve emergency alerting for people who speak non-English languages and have auditory or visual disabilities. First, we include two annotated bibliographies with over 60 publications on topics related to alert and warning systems, disability access, and language access published in the last 20 years. Second, we include a dataset of survey questions, along with the 222 responses from emergency response personnel in Colorado involved in alert and warning activities.  Lastly, we also include a data dictionary, partner meeting questionnaire, recruitment materials, and a sample letter of support from a key partner. These data and materials could be used to review relevant publications on this topic and to aid in developing future surveys focused on alert and warning systems. For final report and additional project context, see project webpage: https://hazards.colorado.edu/research-projects/colorado-inclusive-language-and-access-in-emergency-alerts.
DOI: 10.17603/ds2-xg94-ds51
title: Shaking-Table tests of idealized nonstructural component fastened with yielding elements
title: in Experimental Seismic Performance of Nonstructural Components Fastened with Ductile Elements

description: Damage of nonstructural components during an earthquake can impair the overall performance of a building through property damage, loss of functionality, and reduced occupant safety. Current Code provisions on the United States and elsewhere aim to minimize the threat to life safety by providing anchoring requirements for nonstructural components. These code requirements typically are based on a simplified equation that does not fully consider the contribution of the component attachment to the overall dynamic response of the component. Previous results from shaking-table tests of anchored components suggest that the component attachment is a key parameter that determines its dynamic properties. To evaluate this contribution, a nonstructural experimental model was attached to a concrete slab and tested on a shaking table with several attachment designs. The attachments were dimensioned based on a capacity design approach, such that they would be the weakest element in the force path while providing a yielding failure mechanism. The attachment designs provide different plastic mechanisms that control the displacement ductility in the response of the component. This paper focuses on the contribution of the attachment of the nonstructural component to the seismic force demand and the dynamic response. The experimental results suggest that the attachment properties govern the boundary conditions of the nonstructural component and that the use of attachments with increased ductility capacity does not necessarily result in reduced seismic loads.
description: The experimental setup was based on a Nonstructural Experimental MOdel (NEMO) that is representing a 3-dimensional generic floor-anchored nonstructural component. The experiment focused on the contribution of using a flexible attachment that provides ductility within the load path of the seismic loading. Thus, the NEMO was designed as a rigid component, constraining the deformation and nonlinear behavior into the attachment. 
The experiment was developed to test the effects of different connection designs on the dynamic response of the nonstructural component. For this, four different designs of connections were tested, varying in moment strength and allowable plastic hinge length.
The input motions that were chosen for the test were recorded near-fault ground motions with a peak ground acceleration of around 0.8g.
The data was corrected, details are included in the README file.
DOI: 10.17603/ds2-4aw3-ym65
title: Natural Hazards Research Summit 2024: Cyberinfrastructure for Natural Hazards Research

description: DesignSafe is the cyberinfrastructure component of the NHERI collaboration. DesignSafe embraces a cloud strategy for the big data generated by natural hazards engineering research. It supports high-performance computing, research workflows, data curation and publication, and data analysis and visualization.
DOI: 10.17603/ds2-7rra-a849
title: Collection Materials: Survey of State Hazard Mitigation Officers
title: in Integrating Climate Change into State Hazard Mitigation Plans: A Five-year Follow-up Survey of State Hazard Mitigation Officers

description: This collection includes the survey instrument, data dictionary, and codebook associated with this online survey of state hazard mitigation officers concerning the integration of climate change into hazard mitigation plans. All materials were extracted from the REDCap survey platform.
description: Climate change is making disaster events more frequent and intense, increasing the risk to economic security, ecosystem health, and human health and well-being. Hazard mitigation planning, overseen in the United States by the Federal Emergency Management Agency (FEMA), aims to reduce disaster risk by identifying hazards and taking action to reduce their impact. While FEMA policy requires states and territories to consider the risks of climate change in their plans, guidance remains broad. As a result, jurisdictions have taken different approaches to integrating climate change into their hazard mitigation plans. This study surveys State and Territorial Hazard Mitigation Officers in the U.S. concerning climate planning and hazard mitigation planning. It is a follow-up to a similar study conducted in 2018.
DOI: 10.17603/ds2-9pqq-qa78
title: Large-Scale Physical Model Study of Wave Overtopping Mitigation by Hybrid Infrastructure
title: in Understanding Hybrid Green-Gray Coastal Infrastructure Processes and Performance Uncertainties for Flood Hazard Mitigation

description: While conventional structural (gray) methods (i.e., bulkheads, revetments) have been implemented to stabilize and protect coastlines, natural (green) and hybrid green-gray solutions have gained attention as effective alternatives that provide engineering services and ecological, economic, and cultural co-benefits that may protect new development or expand the service life of legacy infrastructure near developed coastlines. However, a fundamental lack of understanding of the performance and associated uncertainty of green and hybrid infrastructure limits these systems’ broad implementation. In this proposed project, we conducted a targeted large-scale physical model investigation of wave overtopping of gray, green, and hybrid coastal systems to quantify the hydraulic response of hybrid natural-structural systems. We focused on two system archetypes common to southern Florida: mangrove + bulkhead and mangrove + revetment shorelines. The project leveraged the expertise of nature-based engineering, ecology, and biology domain experts and stakeholders from government, industry, and research through the formation of a Research Coordination and Advisory Network (RCAN), which informed experimental design. We leveraged data from previous field investigations characterizing mangrove geometric and mechanical properties and inherent variability to inform the construction of a large-scale physical model and targeted numerical model simulations. We designed six configurations of a physical model including two forest densities for each system archetype (mangrove + bulkhead and mangrove + revetment) and an unforested configuration for each archetype. We tested each configuration with random, regular, and transient wave regimes. The data allowed us to disaggregate system component effects on hydraulic response (Libby, 2024) and to validate and compare model limits. Fundamental processes affecting wave transformation through these systems will be identified and synthesized to inform the design of these systems for enhanced coastal resilience.
description: We constructed a hybrid system consisting of a 19.6-m mangrove forest and a rubble-mound revetment seaward of a vertical wall. We investigated the mangrove forest and revetment features separately and in combination to compare the mitigating effects of the features on the overtopping of the vertical wall. We considered 3 different forest densities and tested regular, single- and double peaked spectra, and transient (tsunami-like) wave regimes. Water surface elevations and flow velocities were measured along the test section, and overtopping volumes were measured shoreward of the vertical wall.
DOI: 10.17603/ds2-9yr3-vp92
title: Seismic Damage Assessment of Bridges during The 2023 Kahramanmaras, Turkey Earthquakes
title: in A bridge database on the field observations during the 2023 Kahramanmaras, Turkey Earthquakes (Mw=7.8, Mw=7.6)

description: This project presents detailed information about the status of bridges inspected after The 2023 Kahramanmaras, Turkiye Earthquakes. The data in this project can be considered for statistical analysis and comparative studies. Post-earthquake bridge damage observations are compiled from the 140 bridges visited by the project members. The visited bridges are identified depending on the main parameters of bridge site information, seismic design intensity, general bridge information, substructure and superstructure observations and other observations. Further subparameters are also available for each main parameters. The database developed is expected to be very useful  for those in the field of structural engineers, geotechnical engineers, researchers conducting scientific research and inspectors.
description: This project presents detailed information about the status of bridges inspected after The 2023 Kahramanmaras, Turkiye Earthquakes. The data in this project can be considered for statistical analysis and comparative studies. Post-earthquake bridge damage observations are compiled from the 140 bridges visited by the project members. The visited bridges are identified depending on the main parameters of bridge site information, seismic design intensity, general bridge information, substructure and superstructure observations and other observations. Further subparameters are also available for each main parameters. The database developed is expected to be very useful for those in the field of structural engineers, geotechnical engineers, researchers conducting scientific research and inspectors.
DOI: 10.17603/ds2-ecve-0e84
title: Effect of grain size distribution on stress-strain-dilatancy behavior of granular soil
title: in Analytical Modeling for the Effect of Grain Size Distribution on the Critical State of Granular Soil

description: This study aims to explore the effect of particle size distribution on the stress-strain-dilatancy behavior of granular soils, as well as the evolution of void ratio from the initial state to the critical state. The dataset comprises triaxial test results from: (1) uniformly distributed sand specimens with seven different particle sizes, and (2) binary sand mixtures with four distinct size ratios. For each size ratio of the binary mixtures, the fines content varies as follows: 0%, 10%, 20%, 30%, 50%, 70%, 100%. The confining pressure applied in the triaxial tests ranges from 100 kPa to 400 kPa. This dataset stands out due to its inclusion of a wider range of variables, such as particle size, particle size ratio, and fines content, compared to existing data. It is particularly valuable to researchers working on the development of soil constitutive models.
description: This study is to investigate the effect of particle size distribution on the stress-strain-dilatancy behavior of granular soil as well as on the evolution of void ratio from the initial state to the critical state. The dataset includes the results of triaxial tests conducted on: (1) uniformly distributed sand specimens with seven different particle sizes, and (2) binary mixtures of sands with four different size ratios. For each size ratio of the binary mixtures, the fines content varies as follows: 0%, 10%, 20%, 30%, 50%, 70%, 100%. The confining pressure applied in the triaxial tests ranges from 100 kPa to 400 kPa. This dataset is particularly useful to researchers working on the development of soil constitutive models.
DOI: 10.17603/ds2-kzmf-ta46
title: Wave 2a: Coastal Carolinas 2020 Survey
title: in Longitudinal Study of Small Business Resilience to Natural Hazards and COVID-19

description: Between 2019 and 2021, four surveys were deployed to study small business natural hazard preparedness and resilience. Wave 1 focused on Charleston, South Carolina. Wave 2a focused on all coastal North Carolina and South Carolina counties. Wave 2b was a national survey with an abbreviated version of Wave 2a. Wave 3 focused again on Charleston, South Carolina.

This longitudinal study informs our understanding of hazard-experienced small business preparation and response before, during, and after the first year of the COVID-19 pandemic.
description: Online survey studying COVID-19 impacts and prior hurricane experience in the coastal North Carolina and South Carolina counties.
DOI: 10.17603/ds2-sz1p-3839
title: EERI VERT Searles Valley 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-z43z-ch66
title: 2021 NHERI Summer Institute for Early-Career Faculty

description: The NHERI ECO hosted the following presentations at the 2021 NHERI Summer Institute, June 16-17, 2020, at the University of Texas at San Antonio.