cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-f6k8-5d67
title: Tensile coupon tests of advanced high-strength cold-formed steel alloys at elevated temperatures and after cooling down
title: in Advanced High Strength Cold-Formed Steel Coupon Tests at Ambient, Elevated, and Subzero Temperatures

description: An experimental study was conducted on the mechanical properties of cold-formed AHSS at elevated temperatures and after cooling down. For the elevated temperature test, a total number of 88 specimens were cut from cold-formed steel sheets with nominal yield strengths ranging from 340 MPa to 1200 MPa. The tested materials include two AHSS, namely dual-phase steel (DP) and martensitic steel (MS), in addition to high-strength low-alloy steel (HSLA) specimens. Elevated temperature tension tests were performed in steady-state (66 tests) conditions. Tensile specimens were loaded after heating to different elevated temperatures from room temperature to 700 °C in steady-state tests. For the postfire test, two dual-phase (DP) steel sheets and two martensitic (MS) steel sheets with nominal yield strengths ranging from 340 MPa to 1200 MPa and thicknesses of 1.4 mm and 1.0 mm were tested after exposure to temperatures up to 700 °C. More details of the experimental study, including the material properties, and related modeling can be found in three published articles (elevated temperature test: https://doi.org/10.1016/j.jcsr.2020.106299; postfire test: https://doi.org/10.1016/j.tws.2020.107293; related modeling: https://doi.org/10.1016/j.jcsr.2021.107116). The data can be used for the data comparison in similar or related research, and the aforementioned article and this dataset should be properly cited.
description: Tensile coupon test data for advanced high-strength cold-formed steel subjected to ambient, elevated, and subzero temperatures.
DOI: 10.17603/ds2-pmds-kk73
title: Federal Disaster Spending: Trends and Observations Between 2010-2019

description: Natural disasters are an increasing threat to individuals, businesses and communities across the United States. However, analysis on federal spending tends to focus on singular programs, or on supplemental funding after large-scale events; there has not been a comprehensive evaluation of disaster spending or an easily accessible, central repository of the programs available. This research looks at Federal disaster spending trends over the last ten years, focusing on the types of programs, the distribution among the disaster management phases (i.e. mitigation, preparedness, response, and recovery), and the distribution between individuals (for-profit businesses & households), nonprofits/organizations, cities, and other entities. This study uses the annual Catalog of Federal Domestic Assistance, which has been digitized for analysis through Able2Extract, Foxit, Excel, and STATA. Disaster-related programs were found then found through keyword search and an inclusion/exclusion protocol. This work presents preliminary findings for years 2010-2019 and will eventually be extended to additional years of analysis.
DOI: 10.17603/ds2-wzac-h261
title: MV-HarveyNET: A labelled image dataset from Hurricane Harvey for damage assessment of residential houses based on multi-view CNN

description: MV-HarveyNET is a visual dataset of segmented multiple views of the residential buildings damaged due to Hurricane Harvey. This dataset consists of images captured from 5 different views of 435 residential buildings located in Aransas County of Rockport, Texas. These buildings are predominantly single-story, wooden frame residential buildings that were damaged in the 2017 Hurricane Harvey. Each of these buildings are annotated by a team of expert damage inspectors from StEER using damage states labels in accordance with the guidelines in the FEMA’s HAZUS-MH Hurricane model. The expert-assigned damage states to each of these buildings can be used as the ground-truth for model training and testing. The primary goal of compiling this data is to have a dependable training dataset for developing and calibrating image-based multi-view deep learning models for improved automated post-disaster damage assessment.
DOI: 10.17603/ds2-5dxp-8523
title: Pre-hurricane Ian Imagery of Fort De Soto and Cedar Key, Florida
title: in RAPID/NEER: Pre Hurricane Ian

description: RAPID Facility staff collected pre-hurricane coastal UAS imagery on September 26 - 27, 2022.
description: NEER/RAPID deployment to pre-hurricane Ian landfall on the western coast of Florida. Orthomosaics and structure-from-motion derived pointclouds were generated at planned University of Florida portable wind tower experimental beach installations. On Sept 26, 2022, the projected landfall was north of Tampa, FL. Two wind tower locations were selected to accommodate possible landfills, one at Cedar Key and one at Fort De Soto. Although the hurricane made landfall further south, these datasets can be used to measure future changes at these sites.
DOI: 10.17603/ds2-fsb1-8857
title: Natural Hazards Research Summit 2022: Influence of Subsurface Spatial Variability on Ground Deformations in Earthquakes

description: Earthquake ground deformations at sites with interlayered soil deposits are often over-predicted by common simplified procedures. A system-level workflow that integrates detailed subsurface modeling with two-dimensional (2D) nonlinear dynamic analyses (NDAs) is used to re-evaluate the spatial extent and magnitude of deformations at three well documented post-earthquake case history sites. This poster provides an overview of the case studies from three related journal papers, and can be used as a guide to understanding the relationship between those studies.
DOI: 10.17603/ds2-gp23-b207
title: NEES, The George E. Brown, Jr. Network for Earthquake Engineering Simulation, 2004-2014 A DECADE OF EARTHQUAKE ENGINEERING RESEARCH

description: Many of the projects conducted in the NEES laboratories have prompted, or laid the groundwork for, improvements in building codes, evaluation and design guidelines, and construction practices, enhancing societal resilience to earthquakes and tsunamis. In this report you are invited to explore some of the outcomes and impacts of a decade of earthquake engineering research and to try to envision the future impacts that these works may have yet to achieve.
DOI: 10.17603/ds2-qmxy-yp38
title: Natural Hazards Research Summit: Surrogate Models of Highway Bridges for Regional-Scale Simulations of Transportation Networks

description: This poster outlines the process of developing a surrogate model for structure-specific, site-specific assessments of highway bridge columns under seismic loading. This work includes a comparison of three surrogate models, linear regression, gaussian process regression, and probabilistic learning on manifolds, as well as an example use case which compares the surrogate performance against high fidelity simulations and HAZUS predictions. This poster was presented at the NHERI Natural Hazards Research Summit 2024 as an example of the ways high-fidelity regional modeling enabled by surrogates can improve our understanding of seismic risk.
DOI: 10.17603/ds2-rghy-sb78
title: WAS_S78-W&S paper data for S=0.78
title: in Assessment of Tornado Loading on Low-Rise Buildings Using Computational Modeling and Tornado Simulator Testing

description: The data provided is for swirl ratio 0.78. This data produces double cell vortex and the parameters are compared with VorTech data.
description: Tornadoes are a type of severe windstorm that repeatedly have caused devastating damage to the built environment in the United States. Low-rise buildings, in particular, historically have been among the structures that are the most vulnerable to tornado damage. Failures of this type of structure are often responsible for the social and economic losses caused by tornadoes, including the loss of life and property, as well as the interruptions to many critical societal functions. The goal of this collaborative research at the University of Arkansas (UARK) and Texas Tech University (TTU) is to further advance the fundamental understanding of tornadic loading on low-rise buildings. The outcomes of this research can be used for the assessment of building performance in tornadoes, the design of new tornado-resistant buildings, and the development of retrofitting strategies to improve the performance of existing buildings in tornadoes. The research project will be integrated with educational and outreach activities at both UARK and TTU to raise public awareness of the impact of natural hazards, including tornadoes, on the built environment and society in general. In this project experimentally measured vortex flow data and measured pressure data from TTU tornado simulator are used to validate the CFD model developed from UARK. Researchers can use the method developed to validate their model as well as to apply to other wind related problems. In addition those who wants to learn to use open source software openFoam, learning materials are developed and published in the educational meeting. The case files are available in the github web page for any  one to learn & run: https://github.com/rpsuark . The vortex chamber case file is available at: https://github.com/timusv5977
DOI: 10.17603/ds2-v54p-pp76
title: Small-Diameter Pile Pull-out Tests
title: in Development of an Innovative Ultra High Performance Concrete Foundation System with Bio-inspired Surfaces to Support Renewable Offshore Wind Turbines

description: Small-Diameter Pile Pull-out Tests were conducted on three piles to study the effect of the surface characteristics on soil-pile interface/interaction under monotonic loading conditions.
description: The planned offshore wind energy (OWE) production in the U.S. has been growing rapidly with targets of 30 GW by 2030 and 110 GW by 2050 and strong support from coastal states. Achieving these targets requires cost-effective and innovative components including foundations, which could cost 14% to 34% of the overall project cost. Offshore wind turbines (OWTs) are commonly supported on large-diameter steel foundations (piles, anchors or suction caissons). Currently the U.S. does not have the capability to fabricate large diameter steel foundations supporting OWTs and instead relies on foundations fabricated abroad. Therefore, a U.S. manufactured foundation system to support renewable OWE infrastructure is required to meet the growing demand. The goal of this project was to develop a domestically fabricated, bio-inspired surface optimized Ultra High-Performance Concrete (UHPC) foundation system to support the growing renewable OWE infrastructure. This project represented the first phase which was focused on material properties, structural capacity of designed UHPC cross-sections, and the effects of surface elements on the soil-pile interaction when subjected to axial loading. The soil-pile interaction was investigated using plates with different designs of surface elements, small-scale piles and larger-scale pile tests subjected to axial loading.
DOI: 10.17603/ds2-n3bd-ab90
title: Interviews with local officials

description: This section contains instruments researchers used for conducting interviews with local officials.
DOI: 10.17603/ds2-pkq3-ck17
title: Research Experiences for Undergraduates (REU), NHERI 2022: 3D Model of a Concentrically Braced Frame for Real-Time Hybrid Simulation

description: This project provides an in-depth study into how floor isolation systems (FISs) perform when subjected to floor accelerations from a 3D building model of a special concentrically steel braced frame (SCSBF) building during real-time hybrid simulation (RTHS). The project details the creation and study of a 3D model of a SCSBF building using HyCoM-3D, a 3D modeling software created for use at the NHERI Lehigh Experimental Facility. Data in this project can be reused to further assess how FISs behave when subjected to accelerations and their ability to isolate large nonstructural components of buildings and lessen their damage when subjected to different accelerations due to different building configurations. This project is unique because it considers the multi-directional response of a FIS subjected to floor motions simulated from a 3D, nonlinear model of a SCSBF building. The main audience is researchers and professionals interested in learning more about how FISs can limit damage to nonstructural building components.
DOI: 10.17603/ds2-q5x1-e497
title: Lidar Scans of Liquefaction-Impacted Buildings in İskenderun, Hatay
title: in GEER Lidar Data from the 2023 Kahramanmaras Earthquake Sequence Reconnaissance

description: This data was gathered during the Geotechnical Extreme Events Reconnaissance (GEER) efforts following the February 6, 2023, Kahramanmaraş earthquake sequence. This dataset is comprised of terrestrial lidar scan point clouds that aim to capture liquefaction-induced building settlement, building-ground interactions, and ground deformations. The objective of the reconnaissance efforts was to capture perishable data on ground failures and liquefaction-induced infrastructure damage due to these earthquakes.

Reconnaissance was performed from March 27 to April 1, 2023 in and around İskenderun, Hatay; Gölbaşı, Adıyaman; and Antakya, Hatay. Lidar scans were performed in İskenderun and Gölbaşı at selected liquefaction building sites. The reconnaissance sites were selected as those where there was evidence of liquefaction (e.g., ejecta) and liquefaction-induced building settlements, as well as building-ground interactions, and site access.

The processed lidar data are included as .las point cloud files; raw data are included as .fls files. The point cloud data may be viewed and analyzed in point cloud analysis software, including the opensource software CloudCompare. Additional images of the surveyed buildings are included for reference. An explanation of the data types and structure is found in the README.pdf file.

These data may be used to investigate earthquake liquefaction-induced building settlements, building-ground interactions, and liquefaction-induced ground deformations. These data will be of use and interest to engineers and researchers working in the area of liquefaction ground failures and building-ground interactions.

Additional information and data from this reconnaissance are available in the GEER reports, which are referenced in the "Related Works" section.
description: Terrestrial lidar scans at liquefaction sites in the Çay District of İskenderun, Hatay, Türkiye. Scans were performed at various sites with a FARO Focus3D X 330 2014. Cloud data were processed in FARO SCENE 2023.0.1.
DOI: 10.17603/ds2-c244-q889
title: Working with Media—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet offers best practices for researchers who engage with journalists and other members of the media. It includes strategies for getting started and preparing for media interviews. 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-dm1t-t340
title: Community Specialist Materials
title: in Project Building Resilience and Innovation through Diverse Group Engagement (BRIDGE)

description: This mission includes materials that supported the participation of "Community Specialists" throughout all research components of Project BRIDGE.  The audience for this work is anyone seeking inspiration or guidance for implementing participatory protocols in their work.
description: Project BRIDGE was a community-based participatory research project designed to enhance environmental justice within long-term disaster recovery in Robeson County, North Carolina. The project included interview, focus group, and soil sampling components. Project BRIDGE was led by a team of researchers at North Carolina State University in collaboration with "Community Specialists", paid research team members who lived and worked in the disaster-affected community.
DOI: 10.17603/ds2-wfgc-a575
title: UCLA UAV Imaging
title: in Ridgecrest, CA earthquake sequence, July 4 and 5, 2019

description: UAV's were deployed to gather images of the surface fault rupture for the M7.1 earthquake south of Highway 178, and to gather images of Trona and Argus where liquefaction and lateral spreading features were observed. Structure from Motion (SfM) was utilized to create point clouds, and digital surface models were fit to the point cloud data. The point clouds, ortho mosaics, and digital surface models are the work products made available here.
description: The Ridgecrest Earthquake sequence included a M6.4 event on July 4 2019 followed by a M7.1 July 5 2019. These events occurred in the Eastern California Shear Zone, near Indian Wells Valley, south of China Lake and west of Searles Valley. The Geotechnical Extreme Events Reconnaissance (GEER) Association has partnered with several organizations to collect perishable data and document the important impacts of these events, including the United States Geological Survey, the California Geological Survey, the US Navy, the Southern California Earthquake Center, the National Aeronautics and Space Agency (NASA) Jet Propulsion Laboratory (JPL), and local utilities. Critical geotechnical features of this event are extensive surface ruptures, roads, water pipes, and gas pipes crossing the faults, liquefaction and lateral spreading, and liquefaction effects on structures. These effects are documented using field (ground) mapping, and Structure from Motion (SfM) using images collected by UAV's to develop high-resolution digital elevation models.
DOI: 10.15468/dl.6yqm2k
title: Occurrence Download

description: A dataset containing 5516 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mulloidichthys vanicolensis (Valenciennes, 1831)"
 ]
}

 The dataset includes 5516 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015625-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20348/storedb/1205/1319
title: DOI-Chronic ESD_BroadGroups_ForConsultation-April2025.xlsx
DOI: 10.14284/732
title: Downstream migration of silver eel Anguilla anguilla in the River Nene in 2014

description: There is a paucity of data to assess escapement rates of silver eel from Anglian Northern Rivers. Since eel regulations were introduced in 2007 technology has improved to assist with gaining estimates of this. The River Nene holds a significant eel population; it is also one of the most modified and heavily regulated rivers in the UK. By assessing silver eel migration down the Nene system and subsequent escapement to the North Sea important information on the rivers capability to produce silver eels that are capable of contributing to the spawning stock can be discerned. This will feed back into local and national eel management plans when targeting future eel habitat improvement schemes. Eels used in this study were captured, tagged and released to complete their downstream journey. They were tracked using remote telemetry sensors at set locations at in-river structures.
DOI: 10.15468/dl.4665m7
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.1_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Neolitsea aurata (Hayata) Koidz."
 ]
}

 The dataset includes 50 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001051-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14391664
title: Dataset for "Mechanism of magnetization reversal in bulk and nanoparticles of magnetite"

description: This dataset contains a complete set of scripts for calculations of magnetization reversal in magnetite using the GNEB method as implemented in LAMMPS.

Directories:bulk ... calculations on bulk magnetitenp_3nm_Ferich ... 3nm cuboidal nanoparticle, Fe-rich surface terminationnp_3nm_Orich ... 3nm cuboidal nanoparticle, O-rich surface terminationnp_5nm_Ferich ... 5nm cuboidal nanoparticle, Fe-rich surface terminationnp_8nm_Ferich ... 8nm cuboidal nanoparticle, Fe-rich surface terminationnp_12nm_Ferich ... 12nm cuboidal nanoparticle, Fe-rich surface termination

The subdirectories Ksurf_0 and Ksurf_-13 contain calculations with different treatment of the magnetocrystalline anisotropy of surface atoms. In the former case, surface spin anisotropy is removed, while in the latter case it is the same as in the bulk. The interaction potential can be found in Fe-O.tersoff.zbl and the settings used for magnetic simulations in Fe3O4_magnetic.mod. Visualization were made in Ovito, for example by calling: ovito final.state.

The analysis of results can be obtained via Python scripts. The script in a given directory uses data in the same directory or subdirectories. Most of these Python scripts require the number of movable images as an argument. For example:

./get_energy_np_3nm.py 35./get_path_mcranico_3nm.py 35
DOI: 10.5281/zenodo.14391665
title: Dataset for "Mechanism of magnetization reversal in bulk and nanoparticles of magnetite"

description: This dataset contains a complete set of scripts for calculations of magnetization reversal in magnetite using the GNEB method as implemented in LAMMPS.

Directories:bulk ... calculations on bulk magnetitenp_3nm_Ferich ... 3nm cuboidal nanoparticle, Fe-rich surface terminationnp_3nm_Orich ... 3nm cuboidal nanoparticle, O-rich surface terminationnp_5nm_Ferich ... 5nm cuboidal nanoparticle, Fe-rich surface terminationnp_8nm_Ferich ... 8nm cuboidal nanoparticle, Fe-rich surface terminationnp_12nm_Ferich ... 12nm cuboidal nanoparticle, Fe-rich surface termination

The subdirectories Ksurf_0 and Ksurf_-13 contain calculations with different treatment of the magnetocrystalline anisotropy of surface atoms. In the former case, surface spin anisotropy is removed, while in the latter case it is the same as in the bulk. The interaction potential can be found in Fe-O.tersoff.zbl and the settings used for magnetic simulations in Fe3O4_magnetic.mod. Visualization were made in Ovito, for example by calling: ovito final.state.

The analysis of results can be obtained via Python scripts. The script in a given directory uses data in the same directory or subdirectories. Most of these Python scripts require the number of movable images as an argument. For example:

./get_energy_np_3nm.py 35./get_path_mcranico_3nm.py 35
DOI: 10.5281/zenodo.5032306
title: Scholastic Theology [IO Bijapur 191] الحاشیة القدیمة

description: Scholastic Theology.

This manuscript is now IO Bijapur 191 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 419 here with further notations and hyperlinks].


419.

B 191. Size 8 in. by 41/4 in.; foll. 202. Twenty-one lines in a page.

Another imperfect copy of the same work, ending with the words قوله و فیه نظر لانا لا نم (=fol. 116v. of no. 417).

Written in a clear Nasta’liḳ, of the tenth century; with some marginal notes by the author. A small ornament at the beginning; red lines round the pages.