cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2hx23
title: RAPID: Tornado Damage to Steel Structures, Pampa, TX (November 2015)

description: On November 16-17, 2015, an unusual and intense late-season tornado outbreak severely damaged a group of engineered structures at the Halliburton Oilfield Services facility east of Pampa, TX, as well as several nearby center-pivot irrigation ("agricultural sprinkler") systems.  The tornado that impacted the Pampa Halliburton facility was rated as EF-3 intensity, based on the damage to the metal building structures at this facility.  The Halliburton facility contained multiple types of engineered structures for which structural resistances can be estimated, thereby enabling the estimation of tornado wind speeds required to cause the observed damage.  Due to safety and security concerns, the facility owners prohibited access to the facility, so that it was not possible for investigators to make contact measurements or conduct close-range forensic investigations of the damaged structures. The facility owners were agreeable to the research team acquiring photographs and lidar scans from the fence line and an unmanned aerial system above the property. To collect this critical damage data, it was necessary to utilize remote-sensing platforms - including ground-based lidar and digital imaging, aerial imaging, unmanned aerial imaging (still images and video), and commercial satellite imaging.
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This data collection was funded by three collaborative NSF-RAPID Awards:
NSF Award #1623553	West Texas A&M University (Dr. J. Arn Womble and Dr. Kenneth Leitch)
NSF Award #1623542	University of Nebraska - Lincoln (Dr. Richard Wood)
NSF Award #1623752	Texas Tech University (Dr. Douglas A. Smith (TTU National Wind Institute and Dr. Elizabeth Louden (TTU School of Architecture))
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The major goals of this project are:
--Rapidly preserve perishable evidence of damage to engineered structures caused by a severe tornado, using multiple remote-sensing (i.e. non-contact) measurement and recording platforms, to facilitate future investigations of tornado-structure interactions as well as estimations of wind speeds causing these damages for use in validating or revising wind speed estimates in the Enhanced Fujita (EF) Scale of tornado intensity;
--Preserve a visual record of contents and locations in the debris field extending approximately 1 mile downwind of the Halliburton facility to facilitate future investigations of debris flight and tornado actions; and
--Archive the evidence and make it available to other researchers through the NHERI DesignSafe-ci system, to facilitate the validation of tornado loss models, debris-flight models, and further studies of tornado-structure interaction.

ACKNOWLEDGEMENTS:
Special thanks are due to the Halliburton Corporation and to Dr. Joy Pauschke and the National Science Foundation for assistance with the RAPID grants.
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DOI: 10.17603/ds2mh5t
title: Hualien Earthquake - EERI VERT Phase 1 Report

description: EERI VERT's Phase 1 report provides an overview of the damage and specific information for four heavily damaged reinforced concrete buildings in Taiwan.
DOI: 10.17603/ds2ht1j
title: Learning objects from research undergraduate experience (REU)  in natural hazards engineering 2017

description: The Research Experience for Undergraduates (REU) program is a 10-week summer internship for hands-on undergraduate research.  The files here are collected from the 17 students who participated during the summer of 2017 in 16 projects across 10 NHERI sites.
DOI: 10.17603/ds2239d
title: GEER Hurricane Irma - Cape Coral to Key West (initial data collection)

description: Hurricane Irma was a category 5 hurricane on the Saffir-Simpson hurricane wind scale. Irma developed from a tropical wave around the Cape Verde Islands. The National Hurricane Center started monitoring it on August 26, and it was classified as a tropical storm named Irma on August 30. Moving across the Atlantic Ocean, Irma increased in strength. On September 5, Irma was classified as a category 5 hurricane with wind speeds up to 175 mph (280 km/h). Irma made landfall in the U.S. on Cudjoe Key (near Big Pine and Summerland Keys) in the morning of September 10, still being a category 4 hurricane, and made a second landfall on Marco Island, south of Naples, on the same day as a category 3 hurricane. In preparation for Hurricane Irma, more than 6.5 million people were ordered to evacuate (http://www.pbs.org), 134 fatalities were associated to the storm, and damages were recorded of more than $50 billion (http://www.bbc.com/news/business-41231323; https://en.wikipedia.org/wiki/Hurricane_Irma).
Two teams from the Geotechnical Extreme Events Reconnaissance (GEER) Association, supported by the National Science Foundation, were deployed to investigate geotechnical impacts of flooding, storm surge and wave forcing in Florida in response to Hurricane Irma in September of 2017. The teams worked collaboratively with federal, state, and local organizations in Florida. This initial data collection presents the field observations of the GEER team made during the field reconnaissance from September 24 to 28, 2017. The survey region extended along the coastal zone from Cape Coral to Key West.
DOI: 10.17603/ds2q98t
title: STEER - SUNDA STRAIT TSUNAMI (INDONESIA): PRELIMINARY VIRTUAL ASSESSMENT TEAM (P-VAT) REPORT

description: A series of tsunami waves hit the shorelines of Sunda Strait, Indonesia, without warning around 9:30 PM local time on Saturday, December 22nd, 2018. The Sunda Strait Tsunami was almost certainly the result of a southwest flank collapse on the Anak Krakatau volcano, which has been erupting continuously since June 2018. Satellite imagery confirms a significant loss of land on the southwest side of the volcanic cone, while tsunami simulations confirm that this event would have resulted in waves similar to what was observed along the shores of Sunda Strait. The primary damage to built infrastructure consisted of complete destruction of light-framed timber and bamboo houses and kiosks along the shoreline. Unreinforced masonry buildings in close proximity to the shoreline experienced partial to complete collapse. Damage did not extend more than a few rows of buildings from the coastline, though this often included the coastal road that ran close to the shore. Floating debris from damaged buildings and vehicles is suspected to have increased damage to adjacent buildings through debris damming and impact loads. Fortunately, debris and fallen utility lines on the coastal road were cleared quickly to allow access for emergency response teams. Utility lines were being reinstated within days of the tsunami. This  Preliminary Virtual Assessment Team (P-VAT) Report overviews the hazard characteristics and coastal impacts associated with this event by collocating publicly-reported information. As the primary product of StEER’s response to this event, this P-VAT Report will help to inform and support other research teams seeking to learn from this disaster.
DOI: 10.17603/ds2tx0c
title: RAPID: A Coordinated Structural Engineering Response to Hurricane Irma (in Florida)

description: Hurricane Irma left a path of considerable destruction across the Caribbean, eventually making its first landfall in the continental US at Cudjoe Key in southern Florida on September 10, 2017, with Category 4 winds reaching 58 m/s (130 mph). The National Hurricane Center downgraded Irma to a Category 3 storm as it made its second landfall later that afternoon on Marco Island, just south of Naples on Florida's Gulf Coast, with sustained winds near 54 m/s (120 mph). It weakened further to a Category 2 once inland as it moved through the northern portions of the state, dropping below hurricane intensity on September 11, 2017. This project contains the data collected during the RAPID reconnaissance efforts organized for Irma's impacts in Florida, noting that separate reconnaissance missions were organized for Puerto Rico and the US Virgin Islands under this same NSF award, curated through dedicated NHERI DesignSafe projects and linked to one another.
DOI: 10.17603/ds2jt3q
title: Measurement & Characterization of Hurricane Wind Loads on Structures Using a Wireless Sensing Networking System

description: The researchers from Florida Institute of Technology deployed their wireless sensor network (WSN) system on the rooftop of a house near Satellite Beach, Melbourne, Florida (longitude and latitude: 28.175944, -80.592710) during the recent hurricanes Matthew and Irma passage to collect real-time data. The WSN is an autonomous full-scale hurricane data measurement system with 30 pressure and temperature sensors, and an anemometer to measure pressure, temperature, wind speed and wind direction. All sensors are connected wirelessly through 3 routers to a base modem, which is connected to the laptop for collecting the data. The data from the laptop was uploaded through a cellular network at five-minute intervals to a Box account, which provides cloud storage and file sharing collaboration. The entire wireless sensor network system was monitored using Team Viewer remote desktop application. All the data collected in the Box was then uploaded to the DesignSafe.ci data depot. For post-processing and analysis of the uploaded data,  a unique graphical user interface (GUI) application was created using MATLAB, which is capable of analyzing the complete data set on a single run. The authors can run the GUI code instantly on the cloud and provide plots of the physical data using the virtual desktop connection to the DesignSafe workspace.
DOI: 10.17603/ds2896h
title: Undergraduate Research Experience (REU), NHERI 2018: Techniques to Mitigate Forces Experienced by Dual Cable Signal Support Systems

description: Participated in the evaluation of different techniques used to mitigate the forces experienced on traffic signals during high wind events. The results are presented in the paper titled "Techniques to Mitigate Forces Experienced by Dual Cable Signal Support Systems." We accomplished the testing and analysis of three different devices in an attempt to reduce the forces exerted on a dual cable traffic light system.
DOI: 10.17603/ds2-eb6e-tr31
title: StEER - 19 JANUARY 2019 TORNADOES IN THE SOUTHEASTERN US: FIELD ASSESSMENT TEAM EARLY ACCESS RECONNAISSANCE REPORT (EARR)

description: At least ten tornadoes were reported on January 19, 2019 across the southeastern United States, including an EF2 tornado that struck Wetumpka, AL. This StEER Early Access Reconnaissance Report (EARR) provides a summary of all reported events, and details of building performance informed by on-site investigations conducted in Wetumpka, AL and Booth, AL by a Field Assessment Team from Auburn University.
DOI: 10.17603/ds2-xvp9-ag60
title: Next Generation Liquefaction (NGL) Partner Dataset - Sample Queries

description: This project contains a Jupyter notebook that runs several basic queries on the Next Generation Liquefaction (NGL) relational database (doi.org/10.21222/C2J040). The NGL database is mirrored to DesignSafe and users can query the data using Python scripts in Jupyter notebooks. The Jupyter notebook establishes a connection to the database and illustrates how to query information about earthquake events, site investigation data, and basic information about the amount of data in the NGL database.
DOI: 10.17603/ds2398m
title: Wind Analysis Tools: Power Spectra

description: This is version 1 of a MATLAB program developed to assist with comprehensive analysis of collected wind speed data by generating various forms of turbulence power spectra and comparing the results to the full-scale spectrum using Von-Karman model. The source code, user guide and a sample wind speed data is provided in this publication.
DOI: 10.17603/ds2st19
title: Geotechnical Database for Utah (GeoDU)

description: This project includes three geotechnical borehole databases compiled in Utah (i.e., Utah, Weber and Salt Lake counties), which has been coined the Geotechnical Database of Utah (GeoDU).  The database can be used to quantify geotechnical engineering properties for subsequent liquefaction evaluations of surficial geologic units comprised of similar depositional environment and age. The Standard Penetration Test (SPT) data were compiled, digitized, and stored in Matlab database files (.mat) which is the format used by Matlab software for storing variables from the workspace.  The raw SPT data are summarized in two tables called SITE and BLOW, which are linked via a unique site identification number (SITEIDNO) for each SPT. The first table, SITE, contains information about each borehole site, including groundwater depth, approximate address, equipment type, data source, latitude and longitude, etc.  The second table, BLOW, contains numerous data for each sample obtained during the SPT such as: sample depth, sampler properties, the soil description and classification, uncorrected SPT blow count, dry unit weight, moisture content, etc. The complete information about the database structure is located in the Database_information document included in this publication.
DOI: 10.17603/ds2mq38
title: STEER - EERI ALASKA EARTHQUAKE: PRELIMINARY VIRTUAL ASSESSMENT TEAM (P-VAT) JOINT REPORT

description: On November 30, 2018, a magnitude 7.0 earthquake occurred near the City of Anchorage, Alaska. The main event was followed by a large number of aftershocks. Though warnings were issued, the earthquake did not trigger an actual tsunami. While there were notable geotechnical failures, such as the major damage to Glenn Highway, Seward Highway and other roadways in the Anchorage area, preliminary observations suggest that this M7 near fault event produced less than expected damage to buildings like  businesses, homes, and schools near the epicenter, with the majority of damage limited to non-structural elements and contents. While this still causes disruption to commerce, education and family life, the absence of major structural damages is indicative of successes in promoting sound structural and geotechnical engineering designs. For the community of earthquake engineering researchers and practitioners, the wealth of multidisciplinary reconnaissance information available right after the event provides an important opportunity to learn from this major domestic earthquake, both technically and also from a policy and decision making perspective. This Preliminary Virtual Assessment Team (P-VAT) Report, jointly released with EERI and inclusive of its Virtual Earthquake Reconnaissance Team briefing, represents the first product of StEER’s larger coordinated response to this event, informing and supporting other research teams seeking to learn from this disaster.
DOI: 10.17603/ds2c405
title: Undergraduate Research Experience (REU), NHERI 2018: Evaluating Typhoon Haiyan's Performance and Identifying Storm Surge Prone Areas in Key Locations Across The Philippines Using Advanced Circulation (ADCIRC)

description: Conducted Typhoon Haiyan and Typhoon Haiyan-like simulations using ADCIRC to evaluate the usability of the input files. The results validated Typhoon Haiyan and identified storm surge prone areas in the Philippines.
DOI: 10.17603/ds2vt2d
title: SedFoam1

description: SedFoam 1.0: A multi-dimensional numerical model for sediment transport based on the two-phase flow formulation is developed. With closures of particle stresses and fluid-particle interaction, the model is able to resolve processes in the concentrated region of sediment transport and hence does not require conventional bedload/suspended load assumptions. The numerical model is developed in three spatial dimensions. However, in the existing versions, the model is only validated for Reynolds-averaged two-dimensional vertical (2DV) formulation. This numerical model is developed via the open-source CFD toolbox, OpenFOAM and the new solver is called SedFoam. We gratefully acknowledge developers involved in OpenFOAM, which is the foundation of SedFoam.
DOI: 10.17603/ds2qh5v
title: Summer Institute 2018 Presentations

description: Presentations given during the Summer Institute workshop held in June 2018 at the UTSA campus in San Antonio, TX.
DOI: 10.17603/ds22t12
title: Simulation of Post-Fire Seismic Response of Planar Reinforced Concrete Walls

description: This dataset contains simulations of the post-fire earthquake response of flexure-controlled planar reinforced concrete walls. The dataset is intended to provide a resource for future experimental/simulation studies on the post-fire seismic performance of reinforced concrete elements and may also be useful in developing simplified design and evaluation tools. The dataset consists of twenty-one unique walls, with design characteristics including wall thickness, reinforcement ratio, cross-sectional aspect ratio, boundary element length, and axial load ratio. Each wall was subjected to a series of fire durations and configurations prior to application of a reverse-cyclic loading history to simulate seismic demands. Temperatures from heat transfer analysis in SAFIR were used to identify residual material properties for OpenSees seismic analysis. OpenSees analysis used force-based beam column elements with fiber cross-section. This dataset provides input and output files for both the SAFIR and OpenSees models. Details of the walls and organization of files within this project are described in Overview of Dataset.pdf.
DOI: 10.17603/ds2rh71
title: STEER - HURRICANE MICHAEL: PRELIMINARY VIRTUAL ASSESSMENT TEAM (P-VAT) REPORT

description: After a period of rapid intensification, Hurricane Michael made landfall around 1:45 pm EDT on Wednesday, October 10, 2018 near Mexico Beach, Florida, as a strong Category 4 hurricane, with maximum sustained wind speeds of 155 mph and a minimum central pressure of 919 MB. Based on these intensity measures, Michael is considered the fourth most-powerful hurricane to hit the United States, behind the Labor Day Hurricane (1935), Hurricane Camille (1969) and Hurricane Andrew (1992), and the most powerful storm to impact the Florida Panhandle in recorded history. Moreover, as the storm remained at Category 3 intensity as it crossed into Georgia and continued to deliver
tropical force winds and significant rainfall as it moved into the Carolinas and up the Eastern seaboard, Michael caused wind damage, triggered flooding and resulted in deaths in a number of states, including those still recovering from Hurricane Florence. This report overviews the meteorological features of Hurricane Michael, the regulatory context and pre-event response, the impacts of this storm event, and current conditions by collocating publicly reported information. The report places particular emphasis on Florida, but also summarizes impacts to other affected states. This Preliminary Virtual Assessment Team (P-VAT) Report represents the first product of StEER’s larger coordinated response to this event, informing and supporting other research teams seeking to learn from this disaster.
DOI: 10.17603/ds2jd7t
title: StEER - PALU EARTHQUAKE AND TSUNAMI, SUWALESI, INDONESIA: FIELD ASSESSMENT TEAM 1 (FAT-1) EARLY ACCESS RECONNAISSANCE REPORT (EARR)

description: On September 28, 2018, at 17:02 local time (10:02 UTC), a magnitude 7.5 earthquake occurred with an epicenter 78km North of Palu, Sulawesi Island, Indonesia, at a depth of 10 km. The earthquake was caused by movement on a strike-slip fault known as the Palu-Koro Fault. The city of Palu, with a population of 336,000 based on a 2010 census, is located in an alluvial valley at the end of the narrow Palu Bay. Preliminary tsunami modeling reported by CATnews indicates that the bathymetry of the Palu Bay increased the tsunami wave amplitude significantly compared with other coastlines outside of the bay. As of writing this report the death toll is estimated to be over 2200 due to both earthquake and tsunami, with over 1000 still missing. This is approximately 1% of the population of Palu.  There were nearly 4500 injured during the event, representing about 1.3% of the population of Palu. Around 75,000 were displaced because of damage to housing due to the earthquake, tsunami and lateral spreading induced by liquefaction. This Early Access Reconnaissance Report (EARR) provides an overview of the Palu Earthquake and Tsunami, StEER’s event response, and preliminary findings based on the first Field Assessment Team’s (FAT-1) collected data.
DOI: 10.17603/ds2p67x
title: NGA-East Geotechnical Working Group Seismic Site Response Simulation Database

description: This project includes the NoSQL database of 1,747,278 one-dimensional seismic site response simulations (582,426 of each linear, equivalent-linear and nonlinear simulations) developed for the large-scale parametric study described in Harmon et al. (2018) to inform new amplification models for Central and Eastern North America (CENA). There are following files and a folder in this project: 

(i) Readme (0_Read_me.pdf) files and a user's guideline file (1_NoSQL DB for Harmon et al (2018) Simulations.pdf) to detail the structure of the database files and how to query the database though Jupyter Notebook.

(ii) A Jupyter Notebook (2_NoSQL-DB-Query-Harmon-et-al-2018- Simulations.ipynb) to query the simulation database. This notebook needs to be copied into the "My Data" tab to perform queries. 

(iii) NGA-East GWG-S NoSQL Database Files: This folder includes the static files of NGA-East GWG-S (Geotechnical Working Group-Simulations) NoSQL database. This work was funded in part by the US Geological Survey, the Pacific Earthquake Engineering Research Center, the Nuclear Regulatory Commission, the University of Illinois at Urbana-Champaign, and the Ministry of National Education of Turkey.
DOI: 10.17603/ds2dx22
title: Collection of Perishable Data on Wind- and Surge-Induced Residential Building Damage During Hurricane Harvey (TX)

description: Hurricane Harvey made landfall in Port Aransas on August 25, 2017 as a Category IV hurricane. Wind gusts over 130 mph were measured in Rockport, TX before Harvey moved further inland, causing historical flooding in and around Houston, TX. This project focused on engineering assessments of wind and surge damage to buildings in cities and communities including Rockport, Fulton, Port Aransas, Portland, Sinton, Seadrift, and more. It contains georeferenced reconnaissance data captured with support from an NSF RAPID project (CMMI 17-59996). The project includes a total of 1,177 individual building assessments. Each georeferenced assessment includes descriptions of any observed damage to the building, geotagged photographs of the post-hurricane condition of the building, and a number of key building attributes such as year built, roof shape, number of stories, construction materials, and first floor elevation. In addition, the dataset also contains street sign failures, high water marks, and other hazard indicators than can be used to infer hazard characteristics such as wind direction and storm surge inundation height. The data underwent a rigorous quality control process to improve the accuracy of the data and reduce uncertainties. All data is provided in open-source formats, allowing it to be used in a wide variety of analysis and GIS software such as Python, Matlab, QGIS, and Hazmapper.
The dataset is ideally suited for integration with other non-engineering studies, such as radar observations of the Hurricane Harvey wind field, longitudinal studies of community recovery, and explorations of homeowner pre- and post-hurricane behavior.                                                                                                                                                                    A description of the dataset is available in the data paper entitled "Harvey_CMMI1759996_DataPaper.pdf". Scholarly products are also included in the dataset that provide more information regarding the data collection and processing methodology.