cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2tx26
title: RAPID Collaborative: Data Driven Post-Disaster Waste and Debris Volume Predictions using Smartphone Photogrammetry App and Unmanned Aerial Vehicles

description: The goal of this proposal is to leverage photogrammetry from smart phones and unmanned aerial vehicles (UAVs) to automate the quantification of waste debris. In the aftermath of Hurricane Harvey and associated rainfall-induced flooding, a significant volume of waste and debris will be generated, especially in urban areas such as Houston and Beaumont, Texas. The management of post-disaster debris is an important issue faced by local and federal authorities: it contributes a significant portion of disaster management costs, can generate several times the annual waste generation rates of the affected community, and leads to higher expenditures due to error prone initial debris estimations. The current process to predict debris volume is inaccurate and inefficient, as it utilizes qualitative data from visual observation. The results of this study will improve the calibration of the flood debris estimation models by measuring debris generation due to Hurricane Harvey. This will aid in decision-making tools that ultimately will result in faster and more cost-effective debris management operations for future rainfall, tropical storm, and hurricane-induced flood events that continue to impact the Gulf, the US, and elsewhere around the world.
DOI: 10.17603/ds2-a8nq-g348
title: Simulation of the dynamics of a monopole structure subjected to non-stationary, stochastic downburst wind loads using the Wavelet-Galerkin approach

description: Version 1.0 of the WG_plate program is a MATLAB®-based graphical user interface (GUI) that demonstrates the application of the Wavelet-Galerkin approach to approximately solve the coupled equations of motions that govern the structural dynamics of a monopole plate structure subjected to non-stationary, stochastic downburst wind loads. Generated using MATLAB’s AppDesigner development environment, the program allows users to simulate a scenario, in which a downburst travelling on a straight-line path causes non-stationary dynamic vibration of the slender structure. The program is developed through the support of the NSF project CMMI-1434880 led by the Principal Investigator, Associate Professor Luca Caracoglia of Northeastern University’s Civil and Environmental Engineering Department.
DOI: 10.17603/ds2998p
title: Undergraduate Research Experience(REU),NHERI 2018:Determining Natural Frequency and Dynamic Characteristics of Structures Using Free and Force Vibration Testing Methods.

description: In this project i tested different structural system in a small scale using K'NEX models . I conducted three tests in this project on the two K'NEX  models . The two models represented flexible and stiff structures. Structural damage was also tested by removing some of the braces from the stiff structure. Not all the tests worked for the different structural systems. The purpose of this project was to determine the dynamic properties of these models by finding natural frequency of the model being tested. The data was collected from a software called dataphysics and a matlab file was then used to plot all the graphs in this research project.
DOI: 10.17603/ds2-5cgb-6b34
title: Evaluating the efficacy of natural flood defense systems: coastal hydrodynamic, wave, and vegetation measurements in Chesapeake Bay

description: Coastal areas in the Mid-Atlantic regions of the US are threatened by flooding due storm surge and sea level rise (SLR). With more than 7,000 miles of shoreline and a projected 2.0 to 4.2 feet of SLR over this century, Maryland is one of the most vulnerable states to coastal flooding. Also, with its proximity to open ocean and large bodies of water, as the case of Chesapeake Bay, several communities are exposed to coastal flood hazard due to sea level rise, as storm surge, flooding and erosion. While hard structures have long been used for coastal flood protection, several scientific  studies showed that the natural ecosystems, such as wetlands and marshes, can reduce the impacts of storm surge by attenuating water levels, waves, and erosion. 

However, when faced with an opportunity to adopt nature-based solutions as part of a community resilience strategy, local decision makers express doubt as to the efficacy of natural habitats to reduce the impacts of coastal flooding and sea level rise. In this project, the George Mason University, Maryland’s Department of Natural Resources, and the Maryland/DC Chapter of The Nature Conservancy are working together to investigate the effectiveness of natural habitats for coastal flood protection. The collaborative project aimed to measure the hydrodynamics of storm surge and waves inside Maryland’s marshes and the attenuation of waves and currents.

The project conducted hydrodynamic, topographic and vegetation surveys at the selected coastal marshe in the Deal Island during the summer and fall of 2018. The hydrodynamic data collection consists of measuring water levels and waves data using low frequency pressure transducer (Hobo onset U20L-01, U20-001-01 Ti and U20-001-04), high frequency pressure sensors (Trublue 255) and Acoustic Doppler Current Profiles (Aquadopp Nortek 2Mhz). The measurements focused on two distinct cross shore transects in the marsh and dune areas. Additionally, vegetation characteristics impacting flow over the marsh were surveyed in the study site three times during the monitoring period. A topo-bathymetric survey was also conducted and all the equipment locations were recorded with GPS. A multi-media survey documented the environmental changes over the monitoring period at two location in the study site. All the field measurements are completed and the processed data are uploaded here. The data analyses is now underway and supporting a numerical modeling implementation in the study site. This work will be carried out during the spring of 2019 and we expect will also leverage results for the final journal publication.
DOI: 10.17603/ds2p082
title: Lidar Scans of Reinforced Concrete Building Performance following the April 25, 2015 Nepal Earthquake

description: The researchers collected data on the performance of buildings following the 2015 Gorkha earthquake in Nepal. The focus of the research team was on the assessment of infilled RC frame buildings, however, data was also collected on unreinforced masonry buildings and temples, to better understand the vulnerability of the building construction of Nepal. We have acquired, are finalizing data processing, and will archive data (quantitative measurements) pertaining to the residual deformations and indications of damage in residential buildings as well as critical facilities (schools and hospitals). We also applied the ATC-20 methodology for the rapid and detailed damage assessments, which were complemented with advanced sensing methods, including geo-referenced, 3D, ground-based Lidar (GBL) scans and Structure from Motion (SfM) based on flights from Unmanned Aerial Vehicles, i.e. 3D reconstructions from 2D photographs.

This high-fidelity data collected increase the number of case studies of infilled RC frames and will provide critically needed fundamental knowledge about building damage uncertainty following an earthquake. This information has also been helping Nepal with their rebuilding and reconstruction of affected regions of Nepal through our collaborations with the Nepalese Engineers.
DOI: 10.17603/ds22d6k
title: Probabilistic Seismic Hazard Analysis for the Sliding Displacement of Rigid Sliding Masses

description: The seismic performance of a slope that has a shallow, critical sliding surface is quantified by the sliding displacement of a rigid sliding block.  This project includes a Jupyter notebook that implements the Rathje and Saygili (2008, 2009) probabilistic approach to compute a hazard curve for the expected sliding displacement of a rigid sliding mass.  This notebook requires as input the yield acceleration (ky) of the slope and 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 uncertainty in ky is captured through a user-specified logic tree.

References:

Rathje, E.M. and Saygili, G., (2009). Probabilistic assessment of earthquake-induced sliding displacements of natural slopes. Bulletin of the New Zealand Society for Earthquake Engineering, 42(1), p.18.

Rathje, E. M., & Saygili, G. (2008). Probabilistic seismic hazard analysis for the sliding displacement of slopes: scalar and vector approaches. Journal of Geotechnical and Geoenvironmental Engineering, 134(6), 804-814.
DOI: 10.15784/601932
title: Icequake Catalog from Rutford Ice Stream, West Antarctica, January 2019

description: This dataset contains a catalog of icequakes recorded near the grounding line of Rutford Ice Stream, West Antarctica, using an array of 29 seismic stations. The catalog covers the period from 4 to 26 January 2019. Icequake detection and location were performed using the QuakeMigrate software, with the search constrained to depths between 1200 and 2000 meters to target events near the ice-bed interface. The dataset is provided as a single CSV file.
DOI: 10.17603/ds2267q
title: SCEC BBP Study 17.3 Dataset

description: This dataset includes three-component seismograms (H1, H2 and Z) simulated using the Southern California Earthquake Center (SCEC) Broadband Platform (BBP). The simulations were developed for SCEC Project #16110 with the broad objective to: test and validate the use of simulated ground motions from SCEC's BBP in nonlinear response history analysis and collapse assessment of tall buildings. The scenario selection was performed to develop hazard-consistent ground motions for target hazard parameters (pseudo-spectral acceleration, spectral shape and duration).


Selected scenarios (based on UCERF2 rupture definitions) include 1. S. San Andreas (source 548): M7.9, 8 hypocenters, 1 realization/hypocenter, 2. Elysian Park (source 260): M6.6, 2 hypocenters, 16 realizations/hypocenter, 3. San Jacinto (source 488): M7.8, 4 hypocenters, 16 realizations/hypocenter, 4. N. San Andreas (source 212): M8.0, 6 hypocenters, 16 realizations/hypocenter, 5. Hayward - Rodgers Creek (source 334): M7.0, 3, hypocenters, 16 realizations/hypocenter. Selected stations include 11 sites in downtown Los Angeles area (Vs30: 390-500 m/s), B. 11 sites in San Bernardino area (Vs30: 280-748 m/s), C. 6 sites in San Francisco Bay area (Vs30: 863 m/s).


The project team was coordinated under the Ground Motion Simulation Validation (GMSV) group within SCEC and included: 
Nenad Bijelic (Stanford), Gregory Deirlein (Stanford), Christine Goulet (USC), Robert Graves (USGS), Ting Lin (Marquette), Nicolas Luco (USGS), Philip Maechling (USC), Sanaz Rezaeian (USGS), Fabio Silva (USC), Wen-Yi Yen (Stanford), Farzin Zareian (UCI), Kuanshi Zhong (Stanford)
DOI: 10.17603/ds2x10j
title: Vector Seismic Hazard Analysis in MATLAB

description: A MATLAB function that computes vector hazard and vector deaggregation by post-processing of scalar hazard results from PSHA software is provided.
DOI: 10.17603/ds2q38j
title: Hurricane Harvey (Texas) Supplement -- Collaborative Research: Geotechnical Extreme Events Reconnaissance (GEER) Association: Turning Disaster into Knowledge

description: Hurricane Harvey made landfall August 25, 2017 near Rockport, TX. With maximum winds of 130 mph, Harvey was the first Category 4 hurricane to make landfall in the US in over a decade and the first storm of this intensity to hit Texas since 1961. Four sub-teams were assembled to document damage in the landfall region in three coordinated waves from September 8-17, 2017. A pair of teams worked sequentially to conduct door-to-door Damage Assessments in Rockport, Port Aransas, Aransas Pass, and Bayside, supplemented by unmanned aerial surveys (UAS) of select residential areas. These teams were flanked by a Coastal Scout Team measuring high water marks as far east as Palacios. These Damage Assessments were followed by block-level scans of these same neighborhoods using a mobile LiDAR van. 3D point clouds were acquired for select structures obtained using portable LiDAR/imaging laser scanners. See Data Report for additional details.
 
Note: This was funded as a subcontract to the University of Notre Dame, through a supplement to the existing award to University of California at Berkeley (PI: Jonathan Bray). Prof. Ellen Rathje, University of Texas - Austin, served as the overall coordinator for all GEER teams deploying in Harvey and this special "STEER" team. Tracy Kijewski-Correa, University of Notre Dame, is coordinator of the STEER Team and PI of the subcontract. The team gratefully acknowledges Richard Fragaszy and Joy Pauschke for their support and swift allocation to deploy teams through this supplement.
DOI: 10.17603/ds2938d
title: Undergraduate Research Experience (REU), NHERI 2018: Predicting lateral resistance sharing between cold-formed steel framed shear and gravity walls

description: Generated a computational model to predict the hysteretic response of cold-formed steel framed shear and gravity walls subject to in-plane loading. The model was created using the Nail Pattern Analysis material within SAPWood software. Results indicate that the computational model is capable of predicting the lateral resistance capacity of a wall specimen within 3% accuracy.
DOI: 10.17603/ds21m53
title: Undergraduate Research Experience (REU), NHERI 2018: Assessing the Efficacy of the Multi-Channel Analysis of Surface Waves Method to Identify Subsurface Irregularities from Theoretical Models

description: Created and processed 50 unique subsurface models to be used for full waveform inversion and analysis.
DOI: 10.15468/dl.zm2vwj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pauridia affinis (Schult. & Schult.f.) Snijman & Kocyan",
 "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 ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044102-250525065834625/datasets/export for details.
DOI: 10.17603/ds20t2s
title: Undergraduate Research Experience (REU), NHERI 2018: Curation of Hurricane Wind Velocity Data For DesignSafe

description: Poster, presentation, and final paper on curating hurricane wind data from University of Florida datasets
DOI: 10.17603/ds2jm4v
title: Research Experience for Undergraduates(REU), NHERI 2018

description: Worked with a team of professionals, I worked with WOW staff to build some models and test them, helped the graduate students in construction and analyzing the data
DOI: 10.17603/ds2n680
title: Ground Motion Data from California Vertical Arrays

description: Developing this dataset was a part of a study on site response in vertical array sites of California. We compiled and processed a dataset of ground motion recordings from California vertical array sites. The data also includes shear-wave velocity profiles and geotechnical logs (if available) for the sites. The sites are owned by CSMIP and University of California Santa Barbara (UCSB). The data from vertical arrays help to evaluate observed site response between surface and downhole instruments. The direct observation of site response allows for validation studies on numerical and analytical site response models. This study was a part of Kioumars Afshari's PhD research under supervision of Prof. Jonathan P. Stewart in the Department of Civil Engineering at the University of California Los Angeles in 2017. A readme file included in this publication explains the data and how it is organized.
DOI: 10.17603/ds2d39v
title: UNDERGRADUATE RESEARCH EXPERIENCE (REU), NHERI 2018: THE LIQUEFACTION POTENTIAL OF GROUND MODIFIED BY POORLY BUILT RAMMED AGGREGATE PIERS

description: The purpose of this research is to better understand the connection between poorly built Rammed Aggregate Piers and liquefaction potential of poorly graded soils. The hypothesis states that a poorly built Rammed Aggregate Pier will increase a soils likelihood of liquefying. Much of this study is based off previous research done in Christchurch, New Zealand after the 2010-2011 Canterbury Earthquake Sequence. The tests conducted in this study include the Modified Effort Compaction Test and the Free-Free Resonant Column Multi-Mode Device Test. Results showed that a poorly built Rammed Aggregate Pier was denser than a well built Rammed Aggregate Pier. Thus, it was concluded that a poorly built Rammed Aggregate Pier will decrease a soils risk of liquefying.
DOI: 10.17603/ds24m54
title: Undergraduate Research Experience (REU), NHERI 2018: Implementation of Honeycombs to Improve Flow quality at the Wall of Wind (WOW)

description: Conducted literature review to further understand current and best practices to produce smooth flow in a wind tunnel. A prototype was built to test circular tube flow production characteristics. Even though time didn't allow to test the prototype during the 10 weeks, previous data collected at the Wall of WInd was analyzed to understand the baseline flow conditions. It was found that the baseline flow conditions contain peaks in the wind spectra. The peaks in the wind spectra must be understood and potentially eliminated to properly attain smooth flow characteristics goal.
DOI: 10.17603/ds2v39b
title: FCMP Ground Level Hurricane Wind Data: Frances 2004

description: The Florida Coastal Monitoring Program (FCMP) is a collaborative experimental effort to measure ground level hurricane surface winds. This publication provides data files of ground level wind speed and direction measured  along the east coast of Florida during landfall of Hurricane Frances 2004. MATLAB (.mat) and ascii (.txt) versions of the data are provided for each of the three observation locations. These data are suitable for characterizing the wind at the location and height of the measurement. The accompanying metadata document should be read prior to analyzing the data files.
DOI: 10.17603/ds2wd6v
title: SEI/ASCE Structures Congress 2018 Presentations

description: NHERI presentations from the ASCE/SEI Structures Congress held April 2018 in Fort Worth, TX.
DOI: 10.17603/ds2f10q
title: Undergraduate Research Experience (REU), NHERI 2018: Determining Dynamic Properties of Structures and Using Geophones as Mobile Shaker Models for High School Outreach

description: Began development of a method for using geophone sensors as small-scale models of large-scale mobile shakers. The development of this method allowed for the creation of a basic outreach lesson plan for high school physics classes.
DOI: 10.17603/ds2wm3w
title: The M9 Project Ground Motions

description: A suite of synthetic ground motions for a range of possible magnitude 9 earthquake rupture scenarios on the Cascadia megathrust.
DOI: 10.17603/ds2xd5s
title: PALU EARTHQUAKE AND TSUNAMI, SULAWESI, INDONESIA  PRELIMINARY VIRTUAL ASSESSMENT TEAM (PVAT) REPORT

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. As of
writing this report the death toll is estimated to be over 1200 due to both earthquake and tsunami
and expected to rise as the search and rescue efforts continue. The first product of the StEER response to the Palu Earthquake and Tsunami is this Preliminary Virtual Assessment Team (PVAT) report, which is intended to:
1.	provide an overview of the Palu Earthquake and Tsunami, particularly relating to sequential earthquake and tsunami effects on coastal structures.
2.	overview StEER's event strategy in response to the Palu Earthquake and Tsunami, and
3.	summarize the preliminary findings relating to damage caused by both the earthquake and tsunami in Palu and neighboring areas.
DOI: 10.17603/ds25x0t
title: GEER Hurricane Harvey Reconnaissance

description: Hurricane Harvey hit the coast of Texas near Corpus Christi on August 25, 2017 as a Category 4 hurricane. It continued to drop significant rain along the coast of Texas for several days causing extensive flooding in the city of Houston and its surrounding areas.  This project documents the geotechnical effects of Hurricane Harvey along the Texas Gulf Coast as collected by the GEER Reconnaissance Team.
DOI: 10.17603/ds2g41m
title: StEER - HURRICANE MICHAEL: FIELD ASSESSMENT TEAM 1 (FAT-1) EARLY ACCESS RECONNAISSANCE REPORT (EARR)

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. Surface observations near the eyewall measured peak wind gusts of at least 130 mph at 10 m height, but gusts may have been higher as several observation stations were damaged and stopped reporting. 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. Best estimates of the hurricane wind field indicate that design wind speeds for many structures were exceeded for a sizable region near Mexico Beach and further inland. Heavy storm surge inundated regions from Tyndall Air Force base down through Mexico Beach (8-12 ft storm surge inundation reported), Port St. Joe, Apalachicola, and the barrier islands. The extent of damage required a coordinated response from the structural engineering community, which began with the deployment of a Field Assessment Team (FAT-1) that was subdivided into an Advance Scout Team, a UAV team, and Door-to-Door (D2D) assessment teams. This Early Access Reconnaissance Report (EARR) provides an overview of Hurricane Michael, StEER’s event response, and preliminary findings based on FAT-1’s collected data.  FAT-1 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. The extent of the assessments 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.
DOI: 10.17603/ds25d71
title: Research Experience for Undergraduates (REU), NHERI 2018: Tsunami Generation by Submarine Volcanic Eruptions

description: Worked alongside Georgia Tech faculty and graduate students at the O.H Hinsdale Wave Research Laboratory to conduct an experiment that involved physical modeling of volcanic eruption tsunami generation scenarios. The paper covers the development and results of the experiment, including leading wave parameters and sample plots that illustrate wave behaviors under varying conditions. After running several trials, we collected a sufficient amount of raw data that will undergo a calibration and filtration process. Future goals are collecting our dimensionless parameters for scaling and formulating a predictive equation that can be applied to data from real-world events and improve tsunami inundation maps as well as tsunami forecasting systems.