cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-y8xd-vf61
title: generation of spectrum-compatible ground motion with specified nonlinear response intensity
title: in generating ground motion time histories fitted to the specified response spectrum

description: spectrum-compatible ground motions with the speicified nonlinear response intensities are generated. input folder contains input dataset (including training, validatiaon, and test dataset) for the autoencoder model. the outputs are some examples of the generated spectrum-compatible ground motions and related informations.
description: This project is about generating sepectrum-compatible ground motions with specified nonlinear response intensity on the specified structures. data in this project contains three sets of spectrum-compatible ground moiton time histories used for training, validation and testing. Use autoencoder.py to input these dataset to train the model and generate new spectrum-compatible ground motions as you wish.
DOI: 10.17603/ds2-68a9-0s64
title: ADCIRC Simulation of Synthetic Storms in the Gulf of Mexico
title: in Texas FEMA Hurricane Winds and Surge

description: This project contains 446 synthetic storms used in an assessing storm surge risk on the Texas coast.  The wind and pressure files are used as input to the ADCIRC model to develop storm surge inundation maps.  The results are used to determine flood insurance risk categories, which determine whether or not property falls under the federal flood insurance program.
description: This simulation is a collection of 446 ADCIRC storm surge simulations for synthetic storms in the Gulf of Mexico. The output includes both water elevation and velocity time-series. The data could be used for structural impacts, flood risk studies, environmental impacts, disease vectors, among other uses. The total size of the output is on the order of a few terabytes - and provides a wealth of training data for future machine learning applications.
DOI: 10.17603/ds2-dk6t-8610
title: Microtremor Data Collected in Sacramento-San Joaquin Delta Region of California

description: The Sacramento-San Joaquin Delta is located in California’s Central Valley, roughly 50 km east of the San Francisco Bay area, and much of it is underlain by peaty-organic soils. These soft-soils affect seismic demand as a result of site amplification of ground motions (i.e., site response). Geotechnical site characterization data is needed in order to facilitate empirical site response analysis. The University of California, Los Angeles (UCLA) has partnered with the California Department of Water Resources (CDWR) to collect ambient microtremor data to aid in the characterization of organic soft-soil sites in the Delta. Ambient microtremor data were collected using temporary broadband seismometers provided by the United States Geologic Survey (USGS) over continuous time intervals ranging between 2 and 2.8 hours at 33 seismic recording stations between August 18 and September 1, 2019. These data may be used to produce Horizontal-to-Vertical Spectral Ratio (HVSR) curves which can provide additional information regarding site characteristics such as fundamental site frequency. The HVSR curves developed using this dataset may be accessed in the United States Community Shear-Wave Velocity (VS) Profile Database (PDB) (https://uclageo.com/VPDB/). We acknowledge CDWR Precision Electronics Specialist Andrew Cowell for assistance with performing field measurements at CDWR seismic stations.
DOI: 10.17603/ds2-pzvf-0p89
title: MASW and MHVSR Dataset for the Geological Deposits of the Kashmir Basin, Jammu and Kashmir
title: in Seismic Site Characterisation of Kashmir Valley, Jammu and Kashmir

description: The project involves the microtremor horizontal-to-vertical spectral ratio testing (MHVSR) and multichannel analysis of surface waves (MASW) testing at about 192 in the ten districts of the Kashmir Valley. This is a one-of-a-kind study for the Kashmir region generating a large dataset. Researchers in geotechnical earthquake engineering may use the data to determine the dynamic parameters in the study region and to assess the bedrock depth using advanced methods.
description: The dynamic characterization of the geological deposits of the Kashmir Valley was conducted using MHVSR and MASW tests. The The fundamental frequency and shear wave velocity profile of the soil deposits along with the bedrock depth for the region was estimated. The engineering community may use the data to estimate the dynamic behaviour of the soils as well as the earthquake resistant design of foundations and structures in the region.
DOI: 10.17603/ds2-q3g7-4v29
title: Ehime University Centrifuge Experiments of the Seismic Interaction of a Liquefiable Soil with a Cantilever Retaining Wall
title: in LEAP-RPI-2020: Seismic interaction of a liquefiable soil with a cantilever retaining wall

description: Two centrifuge tests (EU1, EU2) were conducted at Ehime University (EU) to evaluate the seismic response of sheet-pile retaining structures in liquefiable soil for the 2020 Liquefaction Experiments and Analysis Project (LEAP-RPI-2020).
description: The Liquefaction Experiments and Analysis Projects (LEAP) is an international collaboration to develop a databank of high-quality centrifuge experimental data and to use this data in calibration and validation of numerical tools of soil liquefaction and associated consequences. LEAP-2020 investigated the performance and seismic interaction of a liquefiable (Ottawa sand) soil with a cantilever retaining wall. A total of twenty-three centrifuge model tests were performed at eight centrifuge facilities, as part of a round robin testing program. The experimental results of these tests are published and shared in this archive as eight separate experiments (one experiment per centrifuge facility). Each “experiment” includes a number of tests and each model test includes one or multiple destructive input excitations. The conducted tests cover a broad range of soil relative densities and input motion conditions. These tests provide valuable information on the trends and sensitivity of the soil-retaining wall response to variations in shaking intensity and soil relative density. The eight centrifuge facilities involved in LEAP-2020 program included Ehime University (Japan), KAIST (Korea), Kyoto University (Japan), National Central University (Taiwan), Rensselaer Polytechnic Institute (USA), University of California Davis (USA), University of Cambridge (UK), and Zhejiang University (China). The “Experimental Data Archive Overview” document provides an outline of the associated organization.
DOI: 10.17603/ds2-xqfh-1631
title: StEER - M6.4 and M7.1 Ridgecrest, CA Earthquakes on July 4-5, 2019: Preliminary Virtual Reconnaissance Report (PVRR)

description: A magnitude 6.4 earthquake with a depth of 10.7 km occurred in San Bernardino County, CA on July 4, 2019. The epicenter was located 12 km south west of Searles Valley. On July 5, 2019, a 7.1 magnitude earthquake occurred near the same location and at a depth of 17 km. It is noted that the earthquakes occurred in a fairly remote area in the Mojave Desert region of eastern California. The earthquakes were felt strongly in the China Lake-Ridgecrest area, and more broadly from Los Angeles to Las Vegas. The 6.4 magnitude earthquake was preceded by several foreschocks, and followed by hundreds of aftershocks. The maximum Peak Ground Accelerations (PGA) of the 6.4 and 7.1 magnitude earthquakes were 0.38g and 0.48g, respectively. This report overviews the hazard characteristics of the July 4 and 5, 2019 Ridgecrest, California M 6.4 and M 7.1 earthquakes, the regulatory context and emergency response, the impacts of these earthquakes, and current conditions by collocating publicly-reported information. This Preliminary Virtual Reconnaissance Report (P-VRR) 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/ds2-0253-3916
title: Mitigating Wind Loads on Tall Buildings by Aerodynamic Shape Modification: a CFD-based Comparative Study
title: in Mitigate wind loads on tall buildings using aerodynamic shape tailoring: a CFD-based comparative case study

description: A tall 450m slender building was set up in WE-UQ and CFD was carried out in OpenFoam. Five shapes were proposed to investigate aerodynamic shape effect.
description: The project investigates different ways of aerodynamic shape modification for mitigating wind loads on tall buildings. The target building used for this study is similar to the 432 Park Avenue building in Manhattan, New York. CFD models for five test cases with different aerodynamic shape modifications were created and monitored. The results in each case show the effects of shape modification to reduce the base aerodynamic loads.
DOI: 10.17603/ds2-8ape-v659
title: Array and Debris Loading
title: in Wave, Surge, and Tsunami Overland Hazard, Loading and Structural Response for Developed Shorelines: Array and Debris Loading Tests

description: Testing took place from January to June 2019 and included natural and built environment tests with an emphasis on obtaining loading data for a 10x10 array of structures in the inundation zone. Bare earth tests were conducted first to get baseline velocity and wave height data. Then, the array of structures was added to the inundation zone. In addition to the same velocity and wave height sensors used in the bare earth experiments, some of the structures recorded pressures, moments, and loads. Debris in the form of wood blocks was added to both the bare earth and array tests to see how it changed the results. Sea walls are often used as a form of protection from waves and storm surge, so a wall of varying lengths was added to the array tests. These 5 main basin setups correspond to the 5 events below. Many different conditions were tested for each of these experiments. The "ALL_Experimental_Trials" table in the Sensor Information Section describes the conditions of every trial of the experiment and must be used to understand the data in every event folder. Please see the report for details as well.
description: Prediction of surge, wave, and tsunami flow transformation over the built and natural environment is essential in determining survival and failure of near-coast structures during Inundation Events. Hydrodynamic data is difficult to obtain from these major storm events, so smaller scale experiments were conducted at Oregon State University’s O.H. Hinsdale Wave Research Laboratory. 

Data here are partial results from a series of collaborative, NSF and NIST-funded, experiments between the University of Notre Dame, Oregon State University, the University of Southern California, and the US Naval Academy. Additional results from this series of tests are found as related works.

Data may be useful for analysis and prediction of coastal storm wave, tsunami, and debris loads.
DOI: 10.17603/ds2-ag3b-ae61
title: New Hanover Homeowner Survey Data and Methods
title: in New Hanover Coastal Homeowner Pilot Study

description: Data was collected for 662 respondents on homeowner risk, home history, insurance, hurricane and flood experience, home damage, attitudes and opinions, community life, and demographics. The data is stored in a .xlsx data table and question labels are detailed in a metadata file.
description: This project proposes a new methodological framework to study household decision processes in coastal hurricane-prone communities. A pilot survey was fielded in New Hanover County, North Carolina, and gathered data relating to home vulnerability, home insurance, prior hazard experience, community life and demographics, along with attitudes and behaviors. Survey responses are analyzed by a novel set of indices measuring levels of home protection and homeowner mitigation actions either completed or intended. Web and hardcopy surveys were completed by 662 respondents from June 23, 2017 through August 13, 2017. Published data has been stripped of personal or identifying information as per IRB requirements.
DOI: 10.17603/ds2-xd0r-bk81
title: New wind forcing option (CLE15 wind model) for hurricane surge simulation with ADCIRC

description: The complete hurricane surface wind profile model, CLE15, is added into the ADCIRC model as a new wind forcing option. To use the new wind forcing model in ADCIRC, the user should replace the file "/ADCIRC_PATH/src/wind.F" with "wind_princeton.F" and rename it as "wind.F". The "NWS" option in file fort.22 should be set as "8". The dynamic Holland model for NWS=8 is replaced by the CLE15 wind model in file "wind_princeton.F". For all the changes related to the CLE15 model, please search the "wind_princeton.F" file with "BY SHUAI START" and "BY SHUAI END". 
Reference: Wang. S., Lin. N., and Gori. A. (2022): "Investigation of tropical cyclone wind models with application to storm tide simulations". Journal of Geophysical Research: Atmospheres.
DOI: 10.17603/ds2j69c
title: Simulation of Typhoon Haiyan in the Philippines and Similar Synthetic Storms
title: in Storm Surge Modeling of Typhoon Haiyan

description: Typhoon Haiyan (2013) was a catastrophic natural disaster experienced
in the history. The Advanced Circulation (ADCIRC) numerical model was used to hindcast and
evaluate Typhoon Haiyan by comparing modeled results from actual results. Interpreting
Typhoon Haiyan as the most significantly damaging scenario, we create three synthetic
typhoons to identify storm surge prone areas in the Philippines. Results from the simulations
showed the relationship between Typhoon Haiyan’s strong counterclockwise winds and an
almost linear movement to the east. In addition a gradually sloping shelf and shallow
bathymetry in most areas of the Philippines makes up all the right conditions in the
generation of storm surge. This research is intended to assess the performance of ADCIRC to
be used in predicting storm surge from typhoons in the future, assist in land development by
identifying storm surge prone areas, and aid in disaster mitigation and preparedness planning. This project contains the simulation dataset corresponding to research conducted by undergraduate students at the University of Texas at Austin during the summer of 2018 under professor Clint N. Dawson. The report enclosed contain papers and guides that explain the methods and results of this research.
description: This project contains files for running the PADCIRC storm surge model using data for Typhoon Haiyan (https://en.wikipedia.org/wiki/Typhoon_Haiyan), one of the strongest typhoons ever recorded.  The project contains PADCIRC models for the Pacific Ocean around the Philippines Islands, a nodal attributes file, and a parameter file (fort.15).  A wind file for Typhoon Haiyan was obtained from forecast data.  In addition, similar hurricanes with different tracks were created to determine the impacts from similar storms on other parts of the Philippines.
DOI: 10.17603/ds2m39x
title: Wall Panel Test 5
title: in NEESR: Seismic Performance of Conventional and Innovative Special Structural Walls

description: Reversed-cyclic pseudo static test of reinforced concrete wall panel representing plastic hinge region of a wall
description: The project explored design and performance limits for structural walls, considering both conventional wall construction practices and innovative construction practices. A principal finding of recent earthquakes (in 2010 and 2011) and laboratory tests from 200 to 2010 is that wall performance is limited by stability and ductility capacity of the flexural compression zone. Given this critical issue, a series of studies on conventional walls and boundary elements constructed with innovative materials (HPFRCC) to establish performance limits for flexural compression failures in reinforced concrete structural walls. Tests were designed to acquire knowledge, improve construction practices, and advance simulation tools. The primary research outcomes include: 

(1)	Completing  tests of eight ordinary boundary element (OBE) prisms at UCLA. The test specimens were detailed according to ACI 318-11 21.9.6.5 with the goal of assessing failure modes and strain capacities as influenced by concrete cover, configuration of transverse reinforcement, and spacing of transverse reinforcement. Based on the tests, a relationship used to assess buckling of longitudinal reinforcement was extended to wall boundaries with typical OBE detailing. 
(2)	Completing tests on 13 special boundary element (SBE) prisms at UC Berkeley. The tests investigated the role of boundary element detailing and wall thickness. The tests indicated that the strain capacity of relatively (< 12 inches) walls with ACI 318 code compliant SBE detailing was less than one percent and that improved detailing or high-performance, fiber-reinforced concrete did not improve the strain capacity significantly. 
(3)	Conducted tests on seven, approximately one-half scale wall panels represented the base of roughly 8 to 10 story walls in a moderately tall building.  The primary test variables were the configuration and quantity of boundary transverse reinforcement, the depth of the neutral axis, and the wall thickness. The test provided essential data to develop a new, displacement-based model for predicting the drift capacity of structural walls with SBE. 
(4)	Developing code change proposals that were approved for ACI 318-14 and additional code change proposals that have been approved for inclusion in ACI 318-19. 
(5)	Creating and documenting a detailed dataset that was uploaded to DesignSafe-ci Data Depot that can be used for future reserarch.
DOI: 10.25378/janelia.16913047.v2
title: Reference isotropic 3D electron microscopy data of mouse liver tissue (jrc_mus-liver)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<b>Sample:</b> Wild-type, 8 week old mouse, strain: C57BL/6 from Jackson Lab<b>Sample description:</b> Understanding cellular architecture is essential for understanding biology. Electron microscopy (EM) uniquely visualizes cellular structure with nanometer resolution. However, traditional methods, such as thin-section EM or EM tomography, have limitations because they only visualize a single slice or a relatively small volume of the cell, respectively. We overcame these limitations by imaging whole cells and tissues via the enhanced focused ion beam scanning EM (FIB-SEM) platform at 8-nm voxels with week-long acquisition or 4-nm voxels with month-long acquisition. We used this approach to generate diverse reference 3D image datasets and hope to create a reference library to explore comprehensive quantification of whole cells and all their constituents. These open-access data offer a foundation upon which to nucleate a new volume of high-resolution whole-cell EM images and subsequent analyses, a new paradigm that invites biologists to explore and pose questions with a fresh perspective.<br><br>This dataset captures a region within the mouse liver that includes several structures of metabolic significance. The data set contains profiles of many complete hepatocytes and their surrounding sinusoids and bile ductules. Some hepatocytes show two nuclei due to their enormous metabolic activity. Perforated endothelial cells and Kupffer cells form the lining of sinusoids. Inside each hepatocyte, many metabolic relevant organelles such as ER, mitochondria, lipid droplets and their structural relationship can be visualized in their entirety.<br><b>Protocol: </b>Perfusion fixation with glutaraldehyde and vibratome section followed by room temperature reducing OTO staining. After dehydration and infiltration with graded ethanol and Durcupan resin, polymerize the sample in 60°C oven.<b>Contributions: </b>Sample provided by Wei-Ping Li (HHMI/Janelia), prepared for imaging by Song Pang (HHMI/Janelia), with imaging by Song Pang (HHMI/Janelia) and C. Shan Xu (HHMI/Janelia), and post-processing by Eric Trautman and Stephan Preibisch (HHMI/Janelia).<b>Acquisition ID:</b> jrc_mus-liver<b>Final voxel size (nm):</b> 8.00 x 8.00 x 8.00 (X, Y, Z)<b>Dimensions (µm):</b> 102.0 x 101.8 x 71.5 (X, Y, Z)<b>Imaging start date:</b> 2021-03-19<b>Imaging duration (days)</b>: 8<b>Landing energy (eV)</b>: 1200<b>Imaging current (nA)</b>: 3<b>Scanning speed (MHz)</b>: 3<b>Dataset URL: </b>s3://janelia-cosem-datasets/jrc_mus-liver/jrc_mus-liver.zarr/recon-1/em/<b>Visualization Website: </b>https://openorganelle.janelia.org/datasets/jrc_mus-liver<b>Publication</b>: Conrad and Nayaran, 2023; Xu et al., 2017
DOI: 10.17603/ds2-5hnq-vg22
title: Cultural Considerations—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet describes how culture may shape disaster response among different communities. Along with descriptions of key constructs, the check sheet’s guiding questions provide a framework for researchers as they consider each community’s unique cultural context surrounding disasters, trauma, and recovery. 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-jpj2-zx14
title: SimCenter Hurricane Testbed: Lake Charles, LA

description: This project contains the inputs (inventories, rulesets, hazard data), outputs (enriched inventory data, results), and documentation used in this release of the SimCenter’s Lake Charles, LA testbed. This testbed serves as a demonstration site for the hurricane regional loss estimation workflow. This project houses the various inputs and outputs associated with the testbed, with github as a secondary repository for all evolving software, rulesets, and codes.