cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-st68-6b42
title: Household Mail Survey
title: in 2011 New Zealand and Japan Earthquake Household Response Survey

description: The household sample was randomly drawn from the two cities of Christchurch, New Zealand, and Hitachi, Japan. From September 2011 to April 2012, the Texas A&M University (USA), Massey University/GNS Science (New Zealand), and Kansai University (Japan) collaboratively conducted mail surveys to 600 households in each city. Following Dillman’s (2000) Tailored Design Method, each household was sent an initial questionnaire and non-respondents were sent a reminder postcard and as many as two replacement questionnaires. This process was terminated when non-respondents had been sent as many as one reminder postcard and three questionnaire packets. There were 257 usable questionnaires from Christchurch for a response rate of 42.8%, and 332 usable questionnaires from Hitachi for a response rate of 55.3%.
description: This project is to examine households’ earthquake risk perceptions and their immediate response following the 2011 Christchurch Earthquake and the 2011 Tohoku Japan earthquake. The measures include environmental and social context, building structure, earthquake, and tsunami risk perception, behavioral response (during and after), emotional response, risk information channel, previous earthquake experience, earthquake damage, and demographic data. 
There are 32 questions in the questionnaire. These questions generate 83 variables. There are 29 categorical variables, 46 binary variables, 6 continuous variables, and 2 open-ended questions.
DOI: 10.17603/ds2-xgvz-5790
title: StEER 2024 Houston Derecho Annotated Media Repository
title: in StEER- 2024 Houston Derecho

description: This project encompasses the products of StEER's Level 1 response to this event: Preliminary Virtual Reconnaissance Report (PVRR) with corresponding Media Repository.
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.”
DOI: 10.17603/8fra-rw74
title: Establishing a Social Research Infrastructure for Hazards and Disaster Studies – British Columbia Canada

description: Establishing a Social Research Infrastructure for Hazards and Disaster Studies in Canada,” funded by the Canada Research Chairs Program (Award # CRC-2020-00128). This project aims to comprehensively asset map the existing hazards and disaster scholars, educational courses, modules, and programs at the post-secondary education organizations in British Columbia, Canada. Accordingly, data were collected from (1) the official institution websites of 12 public universities, two private universities, 13 public colleges and six private colleges,41 indigenous institutes, 6 Theological institutions (https://www2.gov.bc.ca/gov/content/education-training/post-secondary-education/find-a-program-or-institution/find-an-institution), and (2) the British Columbia Private Training Institutions for 495 private career colleges (http://www.privatetraininginstitutions.gov.bc.ca/). 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 British Columbia, 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/ds2-19xz-9g36
title: Investigating Fundamental Concepts of Wind Energy: Mitigating Climate Change for the Future

description: This project targets college and K-12 students by addressing the importance of wind energy to mitigate climate change. The purpose of the project is to increase awareness of understanding sustainable ways to harness wind. An interactive wind energy educational module was developed for a 4-H STEM K-12 outreach program. Data from this research encourages others to understand fundamental STEM concepts through hurricane analysis, and relaying information to a younger audience for secondary knowledge dissemination. This project encourages students to join STEM by developing their understanding of wind concepts through an interactive wind turbine game and breakdown of specific terms. While the impacts of climate change are commonly addressed through limiting the use of greenhouse gases, this project is unique in explaining how fundamental concepts of wind energy may mitigate climate change.
DOI: 10.17603/ds2-50eh-7v93
title: Active-source and Passive-wavefield DAS and Nodal Station Measurements at the Newberry Florida Site

description: This is a comprehensive subsurface imaging experiment in Newberry, Florida using stress waves. The site is spatially variable and contains karstic surface and underground voids and anomalies. The sensing technologies used comprised a dense 2D array of 1920 DAS channels and a 12 x 12 grid of 144 SmartSolo 3C nodal stations, which covered an area of 155 m x 75 m and were used to record both active-source and passive-wavefield data. The active-source data was generated by a variety of vibrational and impact sources, namely: a powerful three-dimensional vibroseis shaker truck, a 40-kg propelled energy generator (PEG-40kg), and an 8-lb sledgehammer. The vibroseis shaker truck was used to vibrate the ground in the three directions at 260 locations inside and outside the instrumented area, while the impact sources were used at 268 locations inside the instrumented area. In addition to active source data, four hours of ambient noise were recorded using the DAS, while the nodal stations recorded 48 hours of ambient noise in four 12-hour increments over a period of four days. The waveforms obtained from the 1920 DAS channels for every active-source shot or passive-wavefield time block were extracted, processed, and stored in H5 files. These files can be easily visualized using a Python script incorporated with the open-access dataset. Additionally, the three-component data gathered from each SmartSolo nodal station were consolidated into a single miniSEED file, and the data from all 144 nodal stations obtained during each active-source shot or passive-wavefield time block were extracted and saved into a separate folder.  We anticipate that this dataset will be a valuable resource for researchers developing techniques for void and anomaly detection using noninvasive, stress wave-based subsurface imaging techniques.
DOI: 10.17603/ds2-5aej-e227
title: StEER Field Assessment Structural Team (FAST)
title: in StEER - Hurricane Michael

description: Observing damage and documenting successful performance of buildings. Classes include residential, commercial and institutional. Methodologies include detailed damage assessments in Fulcrum, UAS and Applied StreetView.
description: On October, 10 2018, Hurricane Michael made landfall just south of Panama City, FL with the National Hurricane Center reporting a minimum pressure 919 MB and maximum sustained winds of 150 mph. Regardless of its place in history, Hurricane Michael caused catastrophic damage from high winds over a wide swath that stretched across much of the FL panhandle and inland into southeastern GA and beyond. natural hazards engineering community to swiftly deploy a Field Assessment Structural Team (FAST). This FAST broadly assessed the performance of a representative subset of structural typologies in coastal and inland areas. Its teams conducted assessments between October 13-15, 2018. FAST collected data in Florida from Panama City Beach east and south to Indian Pass and north to Marianna. The communities assessed included: Panama City Beach, Panama City (and surrounding communities), Mexico Beach, Port St. Joe, Apalachicola, a few routes out to barrier islands in the region, and the inland communities of Blountstown and Marianna. As part of an independent yet complementary effort, the RAPID EF continued data collection on November 7-8, 2018 in and around Panama City and Mexico Beach, using a variety of technologies including unmanned aerial vehicles, laser scanners and applied streetview technologies. This self-funded initiative generated an additional dataset that complements the data collected by StEER and is thus curated jointly in this project. This project encompasses the final product of StEER's response to this event: Curated Dataset, linking to previously published products: Preliminary Virtual Reconnaissance Report (PVRR) and Early Access Reconnaissance Report (EARR).
DOI: 10.17603/ds2-aqmn-k157
title: Storm Surge under Sea Level Rise
title: in Probabilistic Surge Hazard under Sea Level Rise in the Tampa Bay region, Florida

description: The individual storm surge and probabilistic surge hazard under sea level rise (SLR) in the Tampa Bay region, Florida were examined using ADCIRC+SWAN in this project. Four SLR scenarios (0 m, 0.65 m, 1.30 m, and 1.95 m) were investigated, and 188 synthetic tropical cyclones selected to represent local meteorology were simulated within each SLR scenario. Data is useful for researchers, planners, and engineers interested in how individual storm surge and probabilistic surge hazard will change under different SLR scenario in the Tampa Bay area. More information about this project including discussion of results are published in the paper "Physical Drivers of Changes in Probabilistic Surge Hazard under Sea Level Rise", referenced in Related Work. The authors wish to thank The Edna Bailey Sussman Fund for funding and AECOM for facilitating this study. We also thank the Federal Emergency Management Agency for providing the ADCIRC mesh and other data, and Oceanweather Inc. for providing the meteorological data. This material is based upon work supported by the National Science Foundation under grants CMMI‐1206271 and EAR‐1630099. This work used resources of Advanced Research Computing at Virginia Tech and resources of WorldWinds Inc.
description: Storm surge data under four different increasing sea level scenarios. Probabilistic surge analyses were performed to generate the 10-year, 100-year, and 500-year probabilistic surge results for each sea level rise scenario.
DOI: 10.17603/ds2-bs6z-4258
title: Particle size analysis
title: in Characterization and Geotechnical Properties of Wildfire Ashes

description: The particle sizes of wildfire ash were measured by using a sieve analysis for the coarse ash fractions (sieves #4, 10, 20, 40, 100, and 200) and by laser particle size analysis for the ash fraction passing the No. 100 sieve (Malvern Instruments).
description: This project summarizes the geotechnical engineering properties of eight samples of wildfire ash sampled from three different wildfire sites in central and southern California. This data can be used in conjunction with data collected from others to provide a database of the physical, chemical, hydrological, and engineering properties of wildfire ashes. Extensive engineering testing of wildfire ashes is not readily available in literature, so this work will supplement the supply currently available. This work would be information and educational for those researching wildfire ashes, fire-exposed slopes, carbonate-rich soils, and manmade soils, including other types of ash. This data can be reused by those who would like reference data for further testing on wildfire ashes and for those who require reference data on soil engineering properties.
DOI: 10.17603/ds2-c1g8-qy41
title:  An integrated Pre and Post Storm Dataset for Hurricane Ian (2022)
title: in Virtual Damage Assessment and First-floor Elevation Estimation: Application to Fort Myers Beach, Florida and Hurricane Ian (2022)

description: Several field work and reconnaissance data -primarily pre- and post-storm street-level and aerial imagery- were used to create a comprehensive collection of datasets for virtual damage assessment (VDA) and first-floor elevation (FFE) measurements of 3,408 building structures impacted by Hurricane Ian (2022) in Fort Myers Beach, Florida. The methodology was implemented using engineering students and was validated through a cross-comparison between student and expert opinions. The VDA data includes component-based damage assessment on a damage state (DS) scale from no damage (DS0) to complete damage (DS6) for roof, walls, elevated floors, windows and doors, attachments, and foundations to estimate the overall damage to the structure. The FFE data includes foundation type based National Flood Insurance Program (NFIP) guidelines which are managed by the Federal Emergency Management Agency (FEMA). This dataset also integrates publicly available data utilized in this project, including: (1) National Structural Inventory (NSI), (2) Lee County Damage Assessment (LCDA), (3) Tax Assessor (TA), (4) Florida Elevation Certificate (FEC), (5) surge/wave data based on high-water marks (HWMs). This collection of datasets can be utilized to improve understanding of hurricane damage to buildings, which can lead to the development of reliable models to predict damage in coastal communities.
description: This mission includes datasets for virtual damage assessment (VDA) and first-floor elevation (FFE) measurements of 3,408 buildings impacted by Hurricane Ian (2022) in Fort Myers Beach, Florida, as well as other publicly available datasets that were used in this project. The collection named “Overall Dataset” includes VDA and FFE data and related datasets mapped at the parcel level.  The collection named "Validation and Uncertainty Assessment Dataset" includes VDA validation and FFE uncertainty assessment data for selected buildings. Additionally, the original files for publicly available datasets are provided for future application in coastal resilience studies. This mission also includes related peer-reviewed paper, presentation, poster. For more information, please refer to Overview Report and Readme files.
DOI: 10.17603/ds2-hy1x-vm27
title: circular OWC
title: in Two-phase flow simulations of fixed 3D oscillating water columns using OpenFOAM

description: A circular pile integrated with an oscillating water column (an OWC-pile) was simulated under different wave periods. A row of such OWC-piles can form a wave farm for shore protection and wave energy conversion.  The numerical method used in the simulation can be used for designing similar type of wave farms. The near-bed flow field will be useful for understanding the local scour around the structure.
description: This project is a numerical study of a pile integrated with an oscillating water column (OWC), we call it an OWC-pile.  A row of OWC piles can form a dual-function structure for wave energy utilization and control of beach erosion caused by waves reaching the shoreline.  This project includes simulation results obtained using two CFD methods, which can benefit researchers working on CFD simulations of OWC-based wave farms for shore protection.
DOI: 10.17603/ds2-syc5-nk92
title: A DesignSafe Ground Motion Database: time series, engineering metrics, and site metadata

description: The DesignSafe ground motion database currently consists of 269,300 ground motions observed from 2,582 earthquakes that occurred in California and its surroundings between 1999 and 2021. The event information (e.g., magnitude, focal depth, and time) is queried from the USGS Comprehensive Catalog (ComCat; last accessed in January 2022), and only events with magnitudes between 3.2 and 7.2 and focal depths less than 40 km are included. A Python toolkit for signal processing developed by USGS, called gmprocess (Hearne et al. 2019, doi: 10.5066/P9ANQXN3), is implemented to retrieve and process a large number of ground motions automatically and consistently. Commonly used ground motion intensity measures (IMs) such as 5%-damped spectral accelerations and duration metrics are computed. The unprocessed and processed ground motions, and important intermediate results are saved as Adaptable Seismic Data Format (ASDF) files per event. Additional screenings are performed to ensure the quality of processed ground motions, such as the identification of multiple wave-train arrivals. Moreover, this continuously expanding ground motion database also includes a compilation of available site parameters for California (e.g., the time-averaged shear-wave velocity for the top 30 m, Vs30) from various data providers (e.g., UCLA and USGS). This database, to authors’ knowledge, also provides for the first time, estimates of the site-specific component of the high-frequency spectral decay parameter kappa (Anderson and Hough, 1984), which is known as kappa_0. A Jupyter Notebook with a Graphic User Interface (GUI) is provided to guide users in the search for the desired ground motions, and tutorials (written in Jupyter Notebook) are provided to help users get started with ASDF files. More detailed information about ground motion processing, quality screening, and site metadata are available in the accompanying data paper. This database is expected to be updated as new, relevant events take place not only in California, but in other regions (e.g., Nevada and Arizona). Authors acknowledge the financial support of Pacific Gas & Electricity for this work, and the guidance provided by Dr. Eric Thompson from USGS in the implementation of gmprocess.
DOI: 10.17603/ds2-tewe-2m61
title: Parcel-Specific Open Data Descriptions: Commercial Buildings Energy Consumption Survey and Florida Building Code

description: The rulesets provided herein document open data descriptions available in the Department of Energy's Commercial Buildings Energy Consumption Survey and the Florida Building Code. The rulesets can be utilized to develop computational workflows that support automated building characterizations for parcel-specific loss estimations. It is recommended that the object-oriented data model referenced in this project's related work be utilized to facilitate automated incorporation of open data descriptions.
DOI: 10.17603/ds2-x321-gr11
title: State Level Findings: Nebraska—Building State and VOAD Capacities to Protect Children in Emergencies
title: in Building State Voluntary Organizations Active in Disaster (VOAD) Capacities to Protect Children in Emergencies: An Evaluation Research Project

description: Between 2018 and 2020, the Natural Hazards Center at the University of Colorado Boulder conducted an evaluation entitled: Building State Voluntary Organizations Active in Disaster (VOADs) Capacities to Protect Children in Emergencies. This project was designed to assess the capacity of state-level VOADs to address children’s needs before, during, and after disasters. This project involved multi-method research in the focal states of Arkansas and Nebraska and in collaboration with members of VOADs, emergency management, Save the Children, and other child-serving organizations in both states. The evaluation team conducted participatory engagement exercises, survey research, secondary data analysis and GIS mapping, and an interorganizational network analysis survey. This project includes research instruments and the final reports produced as part of this project. The envisioned audience for these materials includes researchers, emergency managers, and professionals who work for child-serving organizations.
description: This appendix to the Evaluation Report: Building State and VOAD Capacities to Protect Children in Emergencies (https://doi.org/10.17603/ds2-1y50-6519) provides additional detail regarding research conducted in Nebraska by the Natural Hazards Center at the University of Colorado Boulder. This project was designed to evaluate Save the Children’s Building State Voluntary Organizations Active in Disasters (VOAD) Capacities to Protect Children in Emergencies Project. This project assessed how state-level VOADs can build capacity to address children’s needs before, during, and after disaster.
While the comprehensive report illustrates higher-level findings resulting from the evaluation as a whole, this state-level appendix provides descriptive and analytical findings for three of the data collection activities: 1) pre-facilitated survey; 2) participatory asset mapping; and 3) social network analysis survey. We present these findings in the order the data collection activities took place during the project period. At the beginning of each of the appendix sections, we provide a brief overview of the methods used, sample size, and data gathered before the presentation of findings. The appendix includes detailed summaries of the results, tables, charts, and other graphics to augment the primary report.
DOI: 10.17603/ds2-5ych-5397
title: Research Experiences for Undergraduates (REU), NHERI 2022: Noninvasive Site Characterization Using H/V Measurements

description: This project is about processing surface wave data collected at the Newberry Site in Florida using horizontal to vertical spectral ratio measurements. This can be built upon to create a 3D image of the subsurface and locate anomalies in the ground. This is a uniquely large surface wave dataset that can be reused by geotechnical engineers for a wide variety of applications.
DOI: 10.17603/ds2-81k9-j684
title: Identifying the Public Health Implications of Disaster Research—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet encourages hazards and disaster researchers to consider how their research
results can be used to better understand and improve population health. It includes questions that researchers can use as a guiding point for reflection on the public health outcomes and consequences of their work. 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.