cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-33tb-3657
title: 2018 Natural Hazards Digital Reconnaissance Database

description: This is a database of the results of a digital reconnaissance conducted for all natural hazards for the calendar year 2018 as it pertains to structural damage. To form the digital reconnaissance database, the process of scouring online sources and collecting information was repeated until 2018 was exhausted of events. This process was conducted manually, although filters on rough damage estimators such as cost estimates and earthquake magnitudes were applied to exclude events in which the likelihood of structural damage was negligible. All collected information was stored in a Microsoft Excel spreadsheet, in which each row corresponds to an event, and each individual event was assigned a unique folder to hold supplementary files, like photos and articles. As the goal of this project was to amass a database of damage to structures in rural areas that was as inclusive as possible, a variety of online sources were tapped for potential events. These data pools include: National Weather Service Damage Viewer; Local News Articles; Social Media; Did You Feel It? Earthquake Archive; and, NOAA Storm Events Database.
DOI: 10.17603/ds2-fs6v-5737
title: Community disaster preparedness to earthquakes in Washington State: Survey instruments in Vietnamese

description: This collection includes two survey instruments in Vietnamese. The individual disaster preparedness (IDP) survey measured respondents’ reports of their own disaster preparedness whereas the community disaster preparedness (CDP) survey measured their reports of community-level disaster preparedness. The surveys are apart of a larger research project called the “Community disaster preparedness to earthquakes in Washington State”.
DOI: 10.17603/ds2-g757-2079
title: Public Media Approach to Explore a Dual Gendered Leadership Model to Support Government COVID-19 Responses in Atlantic Canada

description: This project reviews media coverage through the examination of 86 news articles from the top three public media companies (CBC News, CTV News and the Globe and Mail) in Canada from January 23, 2020 to February 8, 2021. This examination analyzes how gender-inclusive science-political communication has supported effective provincial responses to COVID-19 in Atlantic Canada. This project argues that a dual-gender leadership model, at the political and grassroots levels, is effective by advancing community responses and encouraging policy driven by scientifically-based interventions to address COVID-19 in Atlantic Canada.

This dataset has been used to review gender and political communication associated with disaster and emergency management in response to the first and second waves of COVID-19 in Atlantic Canada. This data set would benefit those involved in research related to political and public health communication and gender within Canada’s top two news media outlets (CBC and CTV) and Canada’s largest newspaper (The Globe and Mail) during the first and second waves of the COVID-19 pandemic in Atlantic Canada. This dataset (1) includes hyper-links to media articles that contain summaries of political and public health messaging during the first and second waves of COVID-19 and (2) provides snapshots of key themes/words found in each news story, authorship, and details regarding whether the selected province utilized a dual-gendered leadership model (DG) or a male-only model (MO). 

This dataset supports hazards and disaster researchers, practitioners, and policy decision-makers in Canada and beyond to explore the benefits of gender-inclusive scientific-political communication in Canada and to utilize the Canadian experience to strengthen their COVID-19 related governmental strategies. Scholars from other fields (e.g., sociology, management, political science, planning, public health, geography, international development studies, urban studies) may use this dataset to deeply examine the gender-related and disaster-focused issues in community-based interventions.
DOI: 10.17603/ds2-hcsx-1226
title: Introduction to Canadian Emergency Management—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet provides researchers with information about the roles and responsibilities of emergency management entities in Canada. The brief overview of Canadian jurisdictional organization helps readers understand how these entities interact in the context of emergency management. 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: 10.17603/ds2-hzeh-gf40
title: Mechanisms for Implementation of NHERI Research Results

description: A report on how results from NHERI research can be implemented.
DOI: 10.17603/ds2-rakj-a122
title: Hygrochron Temperature and Humidity iButton and Time Activity Diary - Wave 1
title: in Personal Heat Exposure

description: This project was a component of the larger NSF funded Three City Heat and Electrical Failure AdapTation (3HEAT) Study, which aimed to assess the health impact of a simultaneous city-wide power outage and heatwave in the cities of Phoenix, Arizona; Detroit, Michigan; and Atlanta, Georgia. This subset of the larger 3HEAT project aimed to measure the personal heat exposure of Phoenix residents. Additionally we related residents' personal heat exposure profiles to their daily activities, cooling methods, and thermal comfort.  The data from this project could be reused to better understand the relationship between heat exposure, thermal comfort, and daily activity at an individual scale. This data could also be used in combination with similar datasets to explore these relationships across different cities or to compare different methods of assessing personal heat exposure.
description: A total of 55 study participants were each given a time-activity diary and a Hygrochron Temperature and Humidity iButton sensor. The iButtons were distributed with a plastic key fob attached and an option to wear the iButton attached to a lanyard or a caribiner.  Participants were asked to wear the iButton during waking hours and to ensure the sensor was exposed to air while they were wearing it. During sleeping hours the study participants were asked to keep the iButton in the room with them while they slept, but not physically attached to them, so as to ensure data were not erroneous due to being under someone's body while they slept. Additionally, the study participants were asked to complete a time-activity diary when they wore the iButton. The time-activity diary was used to record time of day, location, activity level, cooling methods, and thermal comfort.
DOI: 10.17603/ds2-t9d5-6281
title: Canadian social science workforce in COVID-19 rapid research

description: This dataset includes the social science researchers’ information from the COVID-19 rapid response research projects funded by two Canadian Federal government funding agencies, namely the Social Sciences and Humanities Research Council (SSHRC) and the Canadian Institutes of Health Research (CIHR). SSHRC and CIHR are the two major funding agencies in Canada, especially for researchers affiliated with universities and research institutes across Canada. The COVID-19 rapid response research opportunities were considered the first nationwide quick response disaster research in Canada’s history. This data presents information on researchers who were awarded funding from March 2020-April 2021 on COVID-19 related grants. SSHRC grants included: Partnership Engage Grants COVID-19 Special Initiative: September 2020 Competition and June 2020 competition. CIHR grants included: Operating Grants: Strengthening Pandemic Preparedness in Long-Term Care (COVID-19), COVID-19 Mental Health & Substance Use Service Needs and Delivery, COVID-19 May 2020 Rapid Research Funding Opportunity, Knowledge Synthesis: COVID-19 in Mental Health and Substance Use, and Canadian International COVID-19 Surveillance Border Study and Canadian Immunization Research Network: COVID-19 Vaccine Readiness Funding Opportunity. The data includes the research title, researchers’ project roles, contact information (affiliations, geographic locations, education level, and professional websites) and disciplines. As Canada has two official languages, both English and French projects are included. This dataset portrays the landscape of COVID-19-specific hazards and disaster research workforce in the Canadian social sciences community. Researchers from Canada and internationally could use this dataset to identify their potential research partners in Canada and collaboratively develop research partnerships for post-COVID-19 research in particular, as well as hazards and disaster research in general. The general public could use this dataset to contact their researchers within their communities to request related knowledge and skills. Prospective students could utilize this dataset to find related educational organizations, programs, and supervisors to pursue higher-level education.
DOI: 10.17603/ds2-tt9k-5x22
title: Data Collection: 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: In early 2023, we sent a Research Electronic Data Capture (REDCap) electronic survey to 56 state and territorial hazard mitigation officers (SHMOs). SHMOs from each of the fifty states, the District of Columbia, and five major territories (American Samoa, Guam, Northern Mariana Islands, Puerto Rico, and U.S. Virgin Islands) were invited via email to complete an electronic survey. The survey was a follow-up to a similar survey administered in 2018 (Gonick and Errett, DOI: 10.3390/su10114150). Survey questions aimed to assess changes since the 2018 survey. Most questions aligned with those posed in 2018, with updates to account for new FEMA hazard mitigation policies and respondent-jurisdiction perceptions of climate change. Additional questions sought information on climate adaptation planning, which was not a subject of inquiry in the 2018 survey.
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-x38w-n791
title: Social Science Methods: Survey Research—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet provides an overview of survey research, including survey development and design; sampling techniques; and data management and sharing. Additional considerations covered include techniques for survey administration and maximizing participation. 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: 10.17603/ds27d69
title: One story building with tuned mass damper - SimulinkRT
title: in NHERI UCSD Hybrid Simulation Commissioning

description: The use of large shake tables can provide extended capabilities to conduct large- and full-scale tests examining the seismic behavior of structural systems that cannot be readily obtained from reduced scale testing, or under pseudo-dynamic conditions. When considering large or complex structural systems, however, additional challenges arise such as high costs of full scale specimens or capacity limitations of currently available shake table. Some of these limitations can be overcome by real-time hybrid shake-table substructure test method that requires only key parts to  be evaluated experimentally on the shake table while the remainder of the structure is modeled numerically. As a demonstration of the applicability of this method using a large shake tables, a series of hybrid shake table tests were conducted on the UCSD Large High Performance Outdoor Shake Table (LHPOST) with capabilities to test full scale structural models. A physical specimen was built on the LHPOST, and coupled with a numerical model using hybrid simulation techniques. Comparison of different methods to interface the numerical model with the control systems were evaluated. The physical specimen consisted on a rigid mass resting on four triple friction pendulum bearings that represented the upper story of a shear building model having the effect of  a tune mass damper. Numerical models of shear buildings with different periods and multiple degree of freedom were considered to evaluate the performance of the table and stability and accuracy of the simulation results. The teste results demonstrate the effectiveness of tune mass dampers in reducing structural response and the benefit of using a hybrid shake table test method towards expanded system level dynamic testing. The performance of the shake table is evaluated and methods to compensate delay and other sources of error are discussed.
description: Shake table tests of 1 DOF building model with experimental tunned mass damper using UC San Diego shake table (LHPOST). The 1-DOF model was ran using  Simulink  including compensation in the same model.
DOI: 10.17603/ds2-8yc7-1285
title: A Database of Seismic Designs, Nonlinear Models, and Seismic Responses for Steel Moment Resisting Frame Buildings

description: This database contains 621 special steel moment resisting frames that have been designed in accordance with modern codes and standards, the corresponding nonlinear structural models, and seismic responses (i.e., peak story drifts, peak floor accelerations, and residual story drifts) for a record-set consisting of 240 ground motions. The seismic responses for a subgroup of 100 steel moment resisting frames subjected to three groups of site-specific ground motions (with 40 records each) selected based on the service-level earthquake, design-based earthquake, and maximum considered earthquake hazard levels, are also included.
DOI: 10.17603/ds2-nqxf-3g65
title: Simulation Data of Storm Surge and Waves for Historical Hurricanes in the Gulf of Mexico
title: in Hurricane Surge and Wave Data for Engineering Analysis.

description: We provide ADCIR+SWAN input and output data for historical hurricanes Barry, Gustav, Ida, Ike, Isaac, Katrina, Laura, Nate, and Rita. The data includes the finite element mesh and associated data.  The hurricanes are forced by either National Hurricane Center Best Track data using a Holland Wind Model or by reanalysis winds.  Waves are computed using SWAN.  This data can be used for storm surge analysis from historical storms or for engineering analysis; for example, computing loads on structures, among other uses.
description: In this project we provide output data from historical hurricanes in the Gulf of Mexico that can be used for studying the impacts of storm surge and waves.  The focus is on historical storms that made landfall in Texas and Louisiana.  The data is from ADCIRC+SWAN simulations of each event.  The output data includes water elevations, water velocities, wind velocities, wind pressure, wave radiation stress, significant wave height, wave periods and wave directions.  The input data includes all of the input necessary to run an ADCIRC+SWAN hurricane simulation (mesh, nodal attributes, control parameters, tides, wind forcing).
DOI: 10.17603/ds2-yje5-g692
title: Impact of Hurricanes on Indoor Mold and Asthma
title: in RAPID: Understanding the Interrelationships Among Floods, Building Characteristics, Mold Growth and Occupants’ Asthma Symptoms in the Aftermath of Hurricane Ida

description: The objective is to investigate the impacts of Hurricanes Ida and Ian on indoor mold growth and the exacerbation of asthma and allergy symptoms within residential buildings in different geographic regions. This mission integrates data collection, analysis, and findings from both Hurricane Ida and Hurricane Ian, providing insights into the regional differences and combined effects of these hurricanes on public health and indoor air quality.
description: Extensive dampness and mold growth in buildings are some of the most common, yet overlooked indirect impacts of floods, which adversely affect human respiratory health, particularly among asthmatic individuals. There is currently a lack of understanding on interrelationships among flood characteristics and drivers, building and HVAC system properties (e.g., ventilation rates), human behaviors (e.g., time spent in homes) and vulnerability to mold growth (e.g., asthma symptoms) in the built environment, particularly in residential buildings. This project collects data in the aftermath of two recent catastrophic hurricane events - Ida and Ian - from affected residential buildings to study the relationships among flood characteristics, mold growth, building properties, human behavior and human respiratory health. Our interdisciplinary team uses survey questionnaires, laboratory experiments and machine learning modeling to answer the following scientific questions: (1) what flood characteristics and drivers, building and HVAC system properties and human behaviors cause higher levels of mold growth in residential buildings? and (2) how does living in submerged or water-damaged houses after floods affect asthma symptoms among the residents?

The developed empirical database and identified relationships can be used to guide building designers and occupational health scientists to establish resilient indoor environments, provide a foundation to develop flood-induced mold growth and asthma risk models, assist public health officials and emergency managers to have a better understanding of indirect health-related impacts of floods and support the development of timely strategies for disaster management in population centers.
DOI: 10.17603/ds2-2b5e-zq10
title: Effect of Simple Roughness Changes in Upwind Terrain Simulation on Low- and Mid-rise Building Models
title: in Wind velocity measurement using heterogeneous terrain representation by Terraformer

description: An extensive series of wind tunnel experiments were conducted in the Boundary Layer Wind Tunnel (BLWT) Experimental Facility (EF) at the University of Florida (UF) to investigate the effect of heterogenous terrain on wind flow and pressure distributions on building surfaces.
description: This experiments investigates how simple changes in upwind terrains affect the wind profiles and pressure on low-rise and mid-rise building structures with an extensive series of wind tunnel testings using the new Boundary Layer Wind Tunnel at the University of Florida. Various transition categories were experimentally simulated such as rough-to-smooth, smooth-to-rough, rougher-to-rough-to-smooth, smooth-to-rough-to-sougher, and smooth-to-rough-to-smooth transitions. Also, patch ratio changes for in-depth investigations of transition regions. The main contributions are the following: first, the wind characteristics under these heterogeneous upwind terrain cases; second, the effect of heterogeneous terrain on the wind pressure status of low-rise and mid-rise buildings evaluated by acquiring pressure data at various horizontal and vertical locations on the building surface.
DOI: 10.17603/ds2-8hvd-hd43
title: CPT-Based Liquefaction Case Histories from Global Earthquakes: A Digital Dataset

description: This dataset contains 332 CPT-based liquefaction case histories from 25 globally distributed earthquakes. These data, or subsets of these data, have been analyzed in the literature and are provided here to replicate published results. These cases are sourced from existing studies, to include observations of manifestation severity, CPT soundings, and estimation of GWT depth and ground-motion IMs, as generally reported by original investigators. When available, recent refinements were adopted from the literature. Of the 332 global cases, ~55% are “Manifestation” and ~45% are “No Manifestation.” The compiled, post-processed data is presented in a structure array (a single file), allowing researchers to easily access and analyze information pertinent to free-field liquefaction response (i.e., triggering and surface manifestation). Research opportunities using this data include, but are not limited to, the training or testing of new and existing liquefaction-prediction models. Information describing the contents and structure of the case-history data are provided in a ReadME document.

Note: This database substantially augments, and thus supersedes, that of Geyin and Maurer (2021).

Geyin, M., B. Maurer (2021). "CPT-Based Liquefaction Case Histories from Global Earthquakes: A Digital Dataset (Version 1)", in CPT-Based Liquefaction Case Histories from Global Earthquakes: A Digital Dataset (Version 1). DesignSafe-CI. https://doi.org/10.17603/ds2-wftt-mv37
DOI: 10.17603/ds2-atv8-c155
title: ISROC Dataset for: Boulder emplacement on a tectonically stable, wave-dominated coastline, Mission Rocks, northern KwaZulu-Natal, South Africa
title: in Inundation Signatures on Rocky Coastlines (ISROC) Global Coastal Boulder Deposits Datasets Version 1

description: This document contains standardized data as an Excel and NC file and explanatory notes for "Boulder emplacement on a tectonically stable, wave-dominated coastline, Mission Rocks, northern KwaZulu-Natal, South Africa." This project surveyed 134 coastal boulder deposits at Mission Rocks in South Africa. Boulders are used to assess the history of high-magnitude wave events in this area. Based on hydrodynamic and historical analysis, the boulders show that disposition by storm ways is more likely.
description: This project is a collection of datasets on studies about coastal boulder deposits worldwide. Each document is a unique dataset that contains data from a published study. The document's name reflects the name of the associated paper, and all authors of papers are given credit in the respective document. Each dataset's data is standardized into an ISROC-formatted Excel and NC File. Also, every dataset has explanatory notes, which contain a data dictionary explaining data parameters and appropriate units, Some datasets have the raw data given to ISROC by the paper's authors. By creating a database in the public domain, ISROC hopes to promote academic collaboration in the field. ISROC, an NSF-funded research network, funds this project.