cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2kq5r
title: Undergraduate Research Experience (REU), NHERI 2018: Scaling Wave Impact on Light-Frame Wood Residences

description: The 2017 hurricane season caused six major hurricanes, directly affecting the 70 million people living in hurricane-prone areas (Greenough et al., 2001). Many studies have been conducted in an attempt to better understand the forces of these natural hazards on coastal residences and provide better design methods, however most of these studies have included a pressure valve and converted those pressures into forces (Garcia, 2008). A study at Oregon State University’s Hinsdale Wave Research Laboratory has been conducted which includes the construction and wave testing of a light-frame wood structure built at a 1/6th scale. This paper aims to analyze the accuracy of the scaled down specimen’s structural behavior compared to that of a full-size residence of the same layout. The base comparison is made using a SAP2000 model with the same material properties of the specimen. Additionally, individual wall panels were tested to estimate the structural stiffness of the entire specimen. The experiments conducted on the specimen include wave testing in a Large Wave Flume, a dry free vibration test, and a dry force-displacement test. The accuracy of the specimen’s construction and design is analyzed using a combination of these static and dynamic properties.
DOI: 10.17603/ds2xd4c
title: GEER Hurricane Harvey reconnaissance - initial data collection

description: Three teams from the Geotechnical Extreme Events Reconnaissance (GEER) Association, supported by the National Science Foundation, were deployed to investigate the impacts of wind, flooding, storm surge and wave forcing in Texas. The teams worked collaboratively with federal, state and local organizations in Texas. This data collection presents the major field observations of the GEER team made during the field reconnaissance from September 2 to 5, 2017 along a wide coastal zone reaching from Corpus Christi to Galveston, including investigations along the Colorado River near Bay City and along the Brazos River near Rosenberg. This data collection currently contains (1) images and videos taken during the reconnaissance mission, (2) a list, description and images of soil samples collected, (3) free fall penetrometer raw data from San Luis pass, and the (4) the preliminary GEER report associated to these observations. Detailed data analysis is still ongoing. Additional data will be added with the continuing data processing.
DOI: 10.17603/ds2fx2d
title: CLARC: An Artificial Community for Modeling the Effects of Extreme Hazard Events on Interdependent Civil Infrastructure Systems

description: CLARC (Customizable Artificial Community) is an artificial coastal community of approximately 500,000 people and 1,065 square miles, that includes five civil infrastructure networks (electricity, water, wastewater, transportation, and communications) and social infrastructures, such as public safety, healthcare that communities rely upon during an emergency as well as population and other socio-economic factors. The interdependencies that exist between the civil infrastructure systems and between civil and social infrastructures are included in the dataset as well as attributes to assist with modeling and analysis.
DOI: 10.17603/ds2-sj7t-av93
title: Next Generation Liquefaction (NGL) Partner Dataset - Boring Log Viewer

description: This project contains a Jupyter notebook that views boring log data contained in 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. This Jupyter notebook establishes a connection to the database and uses a graphical user interface to query the database and plot boring log data including soil description, stratigraphy, and penetration resistance measurements.
DOI: 10.17603/ds2-99kp-rw11
title: Next Generation Liquefaction (NGL) Partner Dataset Cone Penetration Test (CPT) Viewer

description: This project contains a Jupyter notebook for viewing cone penetration test (CPT) data in the Next Generation Liquefaction (NGL) relational database (doi.org/10.21222/C2J040). The NGL database is mirrored to DesignSafe, and the database can be queried using Python scripts in Jupyter notebooks. The notebook in this project connects to the NGL database, and provides a graphical user interface that allows users to interact with the CPT data in the database. This notebook may be downloaded by users to their own project space within DesignSafe and modified as needed to alter or extend its functionality. Furthermore, the notebook accesses inverse-filtered CPT data that is saved in the Community Data / NGL area of DesignSafe.
DOI: 10.17603/ds2r96b
title: Undergraduate Research Experience (REU), NHERI 2018: Modifications to a Real-Time Data Transmission System for Hurricane Wind Data Collection

description: Participated in two concurrent efforts to improve the operability of, and data quality produced by portable hurricane wind data collection systems. Refurbished the systems’ physical infrastructure and data transmission system, and implementing an algorithm within existing data processing software to calculate a parameter (roughness length z_0) that quantifies the roughness of the terrain the wind flows over as it approaches the data collection system. Conducted routine maintenance on the outrigger systems of the hurricane data collection towers. Discussed three methods towards calculating roughness length, implemented, tested and analyzed one of the methods, and made recommendations for future updates based on an initial comparative analysis.
DOI: 10.15468/dl.dwwaaf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cymbella neocistula Krammer, 2002",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044101-250525065834625/datasets/export for details.
DOI: 10.17603/ds2969z
title: EERI VERT M7.5 Palu, Indonesia Phase 1 Report

description: This project is a Phase 1 report by the EERI Virtual Earthquake Reconnaissance Team (VERT) for the Palu, Indonesia earthquake and tsunami.
DOI: 10.17603/ds2-qdbw-pb26
title: 1st NHERI-EUCentre Collaboration Meeting (October 29, 2018)

description: On July 10th 2018, the research collaboration on earthquake engineering between US and Italy got off the ground with the signing of the Letter of Agreement between Purdue University, on behalf of Natural Hazards Engineering Research Infrastructure (NHERI), and the NHERI Network Coordination Office (NCO), and the EUCENTRE Foundation on earthquake engineering research using EUCENTRE and NHERI facilities. The first Planning Meeting was held on October 29th 2018 at the Embassy of Italy in Washington, DC to discuss the details of the new research collaboration. At this meeting participated leading researchers from both countries as well as representatives from government agencies to discuss in plenary and breakout sessions the plans for NHERI and EUCENTRE collaboration.
DOI: 10.17603/ds24m6j
title: Dynamic Characterization of Wellington, New Zealand

description: This project details work to characterize the subsurface of Wellington, New Zealand using surface wave methods (i.e., Multi-channel Analysis of Surface Waves [MASW] and Microtremor Array Measurements [MAM]). Shear wave velocity (Vs) profiles were developed for 15 reference locations across the city, including many at/near strong motion stations that recorded the 14 November 2016 Mw7.8 Kaikōura earthquake. This project includes the raw data files from the MASW and MAM experiments, processed experimental data in the form of Rayleigh wave dispersion with measures of uncertainty, non-unique Vs profiles from surface wave inversion, and various calculated parameters with measures of uncertainty from the Vs profiles, including the time averaged shear wave velocity in the upper 30 m (Vs30) and depth to soft (Vs > 760 m/s) and hard (Vs > 1500 m/s) rock where applicable. This data was analyzed and prepared for publication by Joseph Vantassel as part of his MSc research under supervision of Professor Brady R. Cox in the Department of Civil, Architectural, and Environmental Engineering at the University of Texas at Austin in 2018. Any opinions, findings, conclusions, or recommendations expressed in this project are those of the authors and do not necessarily reflect the views of either NSF or EQC.
DOI: 10.17603/ds2r97r
title: EERI VERT Hurricane Florence Phase 1 Report

description: The Phase 1 EERI Virtual Earthquake Reconnaissance Team (VERT) report provides an overview of the damage due to Hurricane Florence on a variety of topics.
DOI: 10.17603/ds2hm4h
title: Post-Harvey Houston-Galveston Roadway Bridge Reconnaissance

description: Hurricane Harvey made a landfall on August 25, 2017 near Port Aransas, Texas, as a category 4 hurricane. Harris County experienced 33.7 inch (856 mm) of rain during a four day period, resulting in significant flooding, prompting controlled releases of surrounding reservoirs, and affecting transportation infrastructure across the region. The Padgett Research Group conducted a reconnaissance field survey on multiple days from September 1, 2017 to September 22, 2017 in the Houston and Galveston area to identify potential damages to roadway bridges caused by flooding and storm surge generated by Hurricane Harvey. A set of critical sites were selected based on maximum inundation depth and wave height predictions, flood gauge data, local media, personal communications and situational awareness tools. Field inspections were conducted for the select locations and the following were recorded: site accessibility, inferred inundation level, damages to pavements, abutments, piers, other structural and non-structural components, and debris effects. This project details the inspection observations, along with photos taken from site visits, and provides HazMapper layers that synthesize the observations. The dataset provides insight on common impacts of hurricane and flood events on bridges, and offers a foundation for future risk and resilience studies for transportation infrastructure.
DOI: 10.17603/ds2gt2m
title: PRJ-2054: UNDERGRADUATE RESEARCH EXPERIENCE (REU), NHERI 2018: SELF-CENTERING CROSS-LAMINATED TIMBER WALLS ERECTION AND INSTRUMENTATION PLAN

description: This project presents the erection and intended instrumentation plan for specific components of a 0.625 scale test of coupled self-centering cross-laminated timber (SC-CLT) walls at the NHERI_Lehigh Experimental Facility. The erection plan shows tasks vital for the success of the test specimen construction in the lab and the intended behavior of the designed connections. The instrumentation plan for select components of the test specimen includes calibration of chosen instruments and reasoning for instrument selection.
DOI: 10.17603/ds2210x
title: LEAP-2017 GWU Laboratory Tests

description: This project documents an extensive series of laboratory tests performed at the George Washington University to characterize the basic properties and stress-strain-strength response of Ottawa F-65 sand in cyclic loading conditions.  The results of these experiments as well the monotonic and cyclic triaxial tests conducted in LEAP-2015 project were provided to all the numerical simulation teams who participated in the LEAP-2017 prediction exercise.  The simulation teams used these results to calibrate the constitutive models that they planned to use in numerical simulations of LEAP-2017 centrifuge tests.
DOI: 10.17603/ds2k385
title: RAPID: Multi-Hazard Performance of Load Bearing Wall Systems: A Case Study Following the January 2010 Earthquake and October 2016 Hurricane Matthew

description: Strengthening community resilience to natural disasters depends critically on improving construction practices across a private sector dominated by low-rise buildings. This issue becomes particularly urgent for coastal communities where hurricane risk is escalating under a changing climate and rising seas. Historically, masonry load bearing wall systems had served as a trusted mode of low-rise construction in such settings. For example, builders in the southeastern United States commonly employ masonry for churches, schools, commercial buildings and even residences. Despite their popularity, the vulnerabilities in these systems can be significant, particularly within states that have yet to enact statewide minimum building standards. Regrettably, these vulnerabilities are only revealed under extreme wind, wave and storm surge loads associated with the passage of major hurricanes. This makes the forensic analysis of building failures during these events a critical source of knowledge to improve the design state-of-the-art. Unfortunately, there have been few opportunities for such real-world validation in the United States.

The passage of Hurricane Matthew over Haiti provides an opportunity to conduct such a forensic analysis for low-rise masonry buildings under one of the most significant hurricanes in recent history. This setting includes construction preferences that facilitate unique comparative analyses of variables known to influence performance of masonry buildings under wind, wave and storm surge. Moreover, the fact that portions of Haiti have recently undergone reconstruction with greater vigilance toward seismic detailing furthers the potential for impact, as there has been no prior opportunity in the United States to explore the in-situ performance of structures under multiple significant hazards in a limited time period (strong earthquake followed by major hurricane with storm surge, wave and wind). A team of wind, coastal and structural engineers from multiple institutions will conduct reconnaissance across the Tiburon Peninsula to examine the performance of low-rise construction during Hurricane Matthew. Through a combination of aerial and ground-based techniques, the team will explore the following questions: (1) How did traditional masonry typologies perform under hurricane wind, wave and storm surge? (2) How did the new structural typologies that have emerged in response to the 2010 Earthquake and aseismically detailed traditional masonry systems perform in this major hurricane? (3) How does the performance of traditional masonry load bearing walls in Hurricane Matthew compare to that observed by the team in the 2010 Earthquake? How can this inform future multi-hazard designs? These insights will continue to advance more resilient, multi-hazard construction practices to reduce losses of life and property in the future.
DOI: 10.17603/ds2508w
title: Kaikoura Earthquake Landslide Inventory

description: The Mw 7.8 Kaikoura, New Zealand earthquake occurred on November 13, 2016 and induced significant landslides across the mesoseismoal area.  The Geotechnical Extreme Events Reconnaissance (GEER) Association organized a reconnaissance team to investigate the event, and part of that team was focused on the landslide effects.  The GEER team assessed the spatial distribution of landslides rapidly after the earthquake using available optical imagery and visual identification techniques.  The goal was to develop within days a detailed landslide inventory that could be used to guide response and reconnaissance efforts.  This project contains the developed landslide inventory and describes the process used to create the inventory.  The project contents are summarized in the README file.
DOI: 10.17603/ds2-2xzy-1y96
title: Next Generation Liquefaction (NGL) Partner Dataset

description: The Next-Generation Liquefaction (NGL) project was launched to (1) substantially improve the quality, transparency, and accessibility of case history data related to ground failure; (2) provide a coordinated framework for supporting studies to augment case history data for conditions important for applications but poorly represented in empirical databases; and (3) provide an open, collaborative process for model development in which developer teams have access to common resources and share ideas and results during model development, so as to reduce the potential for mistakes and to mutually benefit from best practices. This approach is motivated in part by the success of the Next-Generation of Attenuation (NGA) models for ground motion prediction, which has followed this approach and has had substantial global buy-in and broad application.
This project documents how users can access the NGL relational database (doi.org/10.21222/C2J040) using DesignSafe. The database is mirrored to DesignSafe, and users can query the database using Python scripts in Jupyter notebooks. These notebooks have been published in separate projects within DesignSafe to enable version control, and each of those projects is linked to this one through the "Associated Projects" feature. We anticipate that users will utilize these published notebooks as a starting point for developing their own notebooks for accessing the data.
DOI: 10.17603/ds2-c53f-4338
title: Post Hazard Functionality of Roadways and Bridges

description: This data was collected through an online survey of experts in the field of roadway and bridge inspection and repair to understand and characterize post-hazard restoration timelines. The hazards considered in this survey are earthquakes, tsunami/hurricane storm surge and flood-induced scour. The survey was created using Survey Monkey (SurveyMonkey 2012). A link to the online survey was sent out via e-mail to representatives from various State Departments of Transportation (DOTs) as well as experts in maintenance, repair and recovery. Overall, 29 responses were received; however the number of respondents varied for each specific hazard scenario and structure (roadway/bridge), based on the respondents' personal expertise. Included in this data publication are: the survey instrument in pdf format, the survey responses in .xlsx and .csv formats. A Readme file in pdf format explains the survey methodology and includes a data dictionary. Personal names have been de-identified. This dataset may be used by engineering practitioners, community planners, decision makers and academic researchers for developing models that predict repair/restoration action and corresponding repair times / traffic closure duration for typical damage scenarios, enabling improved natural hazard resilience modeling of transportation networks.

The materials produced here are distributed under the Creative Commons (CC) attribution license. This covers the survey instrument and the survey responses presented in ".xlsx" and ".csv" formats. However, the images used to illustrate the various damage scenarios have been pulled from a variety of sources, which are duly cited in the "Readme.pdf" file. Individual images may be protected under their own license restrictions. If you wish to reuse any of these images for any purpose, please abide by the individual license restrictions of the corresponding image.
DOI: 10.17603/ds2xq1j
title: Probabilistic Seismic Hazard Analysis for the Sliding Displacement of Flexible Sliding Masses

description: The seismic performance of a slope that has a deeper critical sliding surface is quantified by the sliding displacement of a flexible sliding block.  This project includes a Jupyter notebook that implements the Rathje et al. (2014) probabilistic approach to compute a hazard curve for the expected sliding displacement of a flexible sliding mass.  This notebook requires as input the yield acceleration (ky) and natural site period (Ts) of the critical sliding mass, as well as the ground motion hazard in terms of the peak ground acceleration (PGA) hazard curve and the associated magnitude and distance de-aggregations. This Jupyter notebook interfaces directly with the U.S. Geological Survey Unified Hazard Tool such that the required ground motion hazard information can be input directly from the USGS website.  The epistemic uncertainties in ky and Ts are captured through a user specified logic tree.

References:

Rathje, E. M., Wang, Y., Stafford, P. J., Antonakos, G., & Saygili, G. (2014). Probabilistic assessment of the seismic performance of earth slopes. Bulletin of Earthquake Engineering, 12(3), 1071-1090.
DOI: 10.17603/ds2498z
title: Model selection and uncertainty quantification of seismic fragility functions

description: A fragility function quantifies the probability that a structural system exposed to a given hazard exceeds an undesirable limit state event, conditioned on the occurrence of a hazard level. Multiple sources of uncertainty affect this function, including record-to-record variation, geometric and material properties, aging, modeling assumptions and errors, and even the analyzed dataset. This study presents a methodology for statistical model selection and uncertainty quantification of seismic fragility functions. The statistical models are created implementing a hierarchical Bayesian framework with a sequential Monte Carlo technique. The most probable model is selected using  Bayesian model selection. This model is validated through multiple metrics using predictive intervals and the Kolmogorov-Smirnov test. Then, the epistemic uncertainty is quantified as the variance of the area below the fragility functions. The methodology is implemented on a twenty-story steel benchmark model case study, demonstrating that the log-normal distribution yields superior performance compared to other models considered. Finally, further analysis of the case study demonstrates that the epistemic uncertainty is considerably reduced when using forty observations.
DOI: 10.17603/ds24t1r
title: NHERI-NIED/E-Defense Oct-Nov 2017 1st Annual Meeting

description: A collection of presentations from the first annual meeting of the NHERI and NIED/E-Defense partnership Oct 31 to Nov 1 in Akasaka, Japan.
DOI: 10.17603/ds2-cmn0-h864
title: Next Generation Liquefaction (NGL) Partner Dataset - Surface Wave Viewer

description: This project contains a Jupyter notebook that views surface wave geophysical data contained within 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. This Jupyter notebook establishes a connection to the database, and contains a graphical user interface that performs queries and plots surface wave geophysical data in the database.
DOI: 10.17603/ds2-tq39-kp49
title: Next Generation Liquefaction (NGL) Partner Dataset - Invasive Geophysical Test Viewer

description: This project contains a Jupyter notebook that views invasive geophysical test data contained in 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. This Jupyter notebook establishes a connection to the database and uses a graphical user interface to query the database and plot invasive geophysical measurements.