cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-6wpb-0r31
title: Microtremor Data Collection in the Imperial Valley Basin, 2024
title: in Microtremor Measurements Performed in Proximity to Strong Motion Stations Across California

description: The Imperial Valley Basin (IVB) is a prominent sedimentary basin located in southern California, east of San Diego, within the Salton Trough. This tectonically active region, part of the San Andreas Fault system, is characterized by low-lying topography, with much of the Imperial Valley situated below sea level. The IVB is also subject to significant seismic activity, including movements along the Imperial and San Andreas Faults. As part of ongoing research efforts, 33 microtremor measurements were conducted at various locations within the region, specifically near strong motion stations. These measurements contribute to the development of the Shear Wave Velocity Profile Database (VSPDB) and the creation of a site response model conditioned on mHVSR.
description: This project contains microtremor-based horizontal-to-vertical spectral ratio (mHVSR) data, collected from a series of field surveys conducted at various strong motion stations. The measurements were acquired using 3-component broadband seismometers, with recording durations typically ranging from 30 minutes to 1 hour. mHVSR is a well-established technique for identifying resonant features at sites with substantial impedance contrasts, where the lowest frequency peak in the mHVSR spectrum is often associated with the site’s fundamental frequency. This fundamental frequency is crucial for understanding site-specific seismic behavior and is particularly valuable for seismic hazard assessment and ground motion modeling. The datasets include not only the raw data collected during each survey but also processed outputs such as mean spectral curves, polar curves, Fourier Amplitude Spectra (FAS), and other relevant processing results. These processed data are intended to support further analysis and interpretation, particularly for applications related to site response studies and the characterization of local site conditions. The overall goals of our HVSR research are to develop a publicly accessible database of HVSR data for use in research, to develop effective protocols for analysis and interpretation of HVSR data, and to develop methods for predicting site response conditioned on HVSR data. The database has been established and is available in the United States Community Shear-Wave Velocity (VS) Profile Database (PDB) (https://www.vspdb.org/); the work presented in this doi is contributing to that database. The research presented here was supported by a research gift from the Pacific Gas and Electric (PG&E) Company and University of Southern California. This support is gratefully acknowledged.
DOI: 10.17603/ds2-nds5-y560
title: Research Experiences for Undergraduates (REU), NSF NHERI 2024: Temperature Gradient Change during Permafrost Thawing in a Centrifuge

description: This research project focuses on the thermal gradient change of permafrost using a centrifuge. As climate change is becoming more of an issue, permafrost is thawing, so this project looks at the thawing rate and depth in a scaled-up model. The data and procedure can be used by other researchers looking to find a solution for melting permafrost in the cold region. This project is unique because not much research has been done in this field, meaning there is much information to uncover about permafrost thawing. The audience for this is people who aren’t sure about how global warming is affecting permafrost, and researchers who want to further develop this experimental method to mitigate the damage to infrastructure built on permafrost.
DOI: 10.17603/ds2-px07-9v54
title: Tips for Reviewing Social Science Research Proposals—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet provides tips for reviewers regarding how to conduct rigorous and comprehensive evaluations of research proposals. It can also help researchers to critically assess their own proposals prior to submission to a funder. 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/ds2-3d7j-7w80
title: Damaged simulations for RC frames
title: in Simulation-Based Methodology to Identify Relevant Damage Indicators and Safety Thresholds for Post-Earthquake Evaluation of Structures

description: After a strong earthquake, criteria are needed to determine whether buildings are safe to reoccupy based on observable damage. This paper presents a simulation-based methodology to identify relevant damage indicators and safety thresholds for building structures. Prior knowledge of the most relevant damage indicators and their thresholds can increase the accuracy and confidence of post-earthquake evaluations. Current practice to translate observable damage into a tagging decision relies on qualitative guidelines based on past earthquake experience and judgment, which may be susceptible to speculation and interpretation. In addition, past experience may not be relevant to newer structural systems and to large or complex (e.g., high-rise) buildings. To augment past observations and data from structural component tests, nonlinear dynamic analyses can be used to estimate the collapse safety of structures with simulated damage. Technologies to execute these simulations have matured over the years, although to date they have not been systematically applied to evaluate the destabilizing effects of simulated damage on collapse safety. In this paper, a methodology is presented to use numerical simulations of damage to identify and evaluate relevant damage indicators that can be quantitatively related to safety thresholds. Damage indicators are selected based on their reliability in estimating the structural safety and their sensitivity to modeling uncertainty, i.e., where the preferred indicators are insensitive to variability in the structural materials and model parameters. The safety threshold for each damage indicator is selected to maximize accuracy in post-earthquake building assessments. The methodology is demonstrated through an application study of ductile reinforced concrete frame buildings. Results show that aggregated indices of structural component damage (e.g., aggregated over the floor of a building) outperform other damage indicators based on peak or residual drifts or simpler percentages of damaged components. Subject to agreement of a number underlying assumptions, this methodology can be applied to a wider variety of structures to improve post-earthquake evaluation guidelines.
description: HDF files with all the nonlinear response history analyses and associated metadata for a 4-, 8-, 12-, and 20-story reinforced concrete building. These results comprise the case study presented in the paper "Simulation-Based Methodology to Identify Damage Indicators and Safety Thresholds for Post-Earthquake Evaluation of Structures" in the Journal of Earthquake Engineering and Structural Dynamics. The data includes story drift and floor accelerations for the incremental dynamic analysis of the intact building subjected to the 44 mainshocks and incremental dynamic analysis for each of the 308 damage instances of the frame
DOI: 10.17603/ds2-gtyb-a835
title: Global Refinery Infrastructure and Petroleum Trade Data 2020

description: In this project we provide data on the locations and daily processing capacities of global petroleum refining facilities, as well as the crude and petroleum product distribution networks across 15 major global regions.  This dataset includes global refineries operational in 2020 and global trade flow volumes for 2020.  This data can be used in the global risk and reliability assessment of petroleum refining infrastructure and the crude and petroleum product distribution network subject to various hazard induced-disruptions.  This data is used to model the global petroleum product distribution network disruption risk due to extreme coastal flood hazards for current and future climate projections.  These datasets might be applicable to research related to energy infrastructure resilience modeling on local, regional, and global scales.
DOI: 10.17603/ds2-p3gq-pb19
title: NEER Preliminary Data Report : Winter Storm January 2022
title: in NEER: Winter Storm January 2022 Reconnaissance

description: A winter storm (unofficially named Winter Storm Kenan by the Weather Channel) impacted the Outer Banks of North Carolina on January 29, 2022. Winter Storm Kenan and several prior and later events within January and February resulted in significant impacts to the local communities from coastal erosion and accretion, ocean and soundside inundation, and windblown sand, including the collapse of one house into the ocean and the declaration by the County that several additional homes were uninhabitable. The NEER Association deployed Home and Field Teams to obtain observations of the impacts of the storms. In particular, the Field Team (Ryan Mieras lead, Ashley Holsclaw and Tanner Jernigan) deployed two 3D scanning LiDARs with overlapping fields of view, cameras, an atmospheric pressure sensor, and two wave gauges  on and near the Rodanthe, NC fishing pier, and conducted beach surveys in the area. Following the NEER Guidelines, as part of this project a Preliminary Data Report describing the storm and observations is prepared and published as a first step. Following the completion of data collection, the quality-controlled data set will be distributed publicly within one year of the event.
description: This report contains a description of the storm and the instruments that were deployed, and preliminary observations of the storm impacts.
DOI: 10.17603/ds2-e4zn-js71
title: Research Experience for High-School Student at the University of Houston: Tropical Storm and Hurricane Dataset

description: The ability to engage high-school students in research activities related to natural hazards is of paramount importance to support the development of the future academic natural hazards community. This project engaged a high-school student, Jooni Hwang, in research activities related to the development of a basic and compact dataset for hurricanes and tropical storms that impacted the United States over the last two decades.

The compact dataset intends to support coastal engineers, structural engineers, and wind engineers who are looking for quick access into an overview of historical events, their basic wind and surge properties, and their impact on civil infrastructure and humankind with numbers. The dataset includes information on sustained wind speeds, storm surges, MHHW, station IDs, impacted locations and states, casualties, and costs associated with the events, along with important links that can be utilized for in-depth research studies. The project includes a description file to guide researchers as well as a brief description of the mentoring plan used by the PI
DOI: 10.17603/ds2-na8y-c575
title: Natural Hazards Research Summit 2024: Experimental Investigation on Tsunami-Driven Debris Damming at Elevated Coastal Structures

description: This experimental project investigated the mechanisms leading to debris accumulation in front of structures during tsunamis (debris damming) and induced loadings on the columns of the structures due to debris damming. The study was conducted through the construction of a 1:20 geometric scale physical model. Tsunami-like waves were generated over an idealized slope and transported different shapes of multi-debris, representing shipping containers, over the flat test section to measure debris loadings on elevated column structures. The experiment optically measured the debris impact and damming process, along with the corresponding loads on the entire column structure using a Force Balance Plate and separately on an individual column in the front row using a load cell. The results of the project will help to understand the parameters that govern the mechanisms leading to tsunami-driven debris damming and corresponding loads including the associated uncertainties. This project is the outcome of “Collaborative Research: Experimental Quantification of Tsunami-driven Debris Damming on Structures” with collaborators from the University of Hawaii at Manoa, Louisiana State University, and Oregon State University.
DOI: 10.17603/ds27090
title: Urban Flood
title: in Identification of Urban Flood Impacts Caused by Land Subsidence and Sea Level Rise for the Houston-Galveston Region

description: Many severe hurricane-induced urban floods occurred in coastal communities in the recent decades (Harvey (2017), Isaac (2012), Ike (2008), Gustav (2008), Katrina (2005), Rita (2005), and Ivan (2004) etc.). The latest flood caused by Hurricane Harvey (2017) in the Houston-Galveston region (HGR) was regarded as one of the costliest disasters in the U.S. history, with damage exceeding $100 billion. Unfortunately, other than being vulnerable to natural hazards like hurricanes, many coastal cities also experience significant land subsidence (LS) and sea level rise (SLR) which exacerbate the urban floods. Traditional hydrologic and hydraulic modeling approaches often neglect the impacts of LS and SLR. Many previous studies have indicated the significance of the impacts imposed by LS and SLR to coastal communities, but incorporating both factors into flood inundation modeling and sustainable and resilient planning is still a challenge. Both SLR and LS are primarily due to human activities. The former is caused by global warming and the latter is owing to subsurface movement of earth materials. SLR and LS are two interrelated geo-environmental hazards which have rarely been considered in the existing urban flooding simulation in conjunction with extreme events. Thus, the PI and Co-PIs are motivated to establish the first and innovative methodology to understand and identify urban flood exacerbated by the contributing impacts from LS and SLR by achieving the following five objectives: I. To bridge fundamental gaps among the LS and SLR projection models, and the hydrologic and hydraulic simulation mechanisms (HHSMs) for urban flood modeling; II. To build corresponding HHSMs from 1992 to 2017 through modifications of topography along with the projected LS and SLR and calibrations for selected historical hurricane events (SHHEs); III. To identify the baseline flood conditions without considering any contribution from LS and SLR for each SHHE; IV. To quantify individual flood impact only due to LS and SLR, respectively, for each SHHE; V. To evaluate the combined flood impacts from LS and SLR for each SHHE. The Houston-Galveston region (HGR) with LS and SLR will be selected as the testbed for the proposed project. Given the facts that the HGR, a historical LS zone, has subsided up to 10 ft. since 1940s and that SLR is projected to rise another 1 to 4 ft. by 2100 by IPCC, it is very imperative for us to understand the contributing impacts from interconnected  LS and SLR on urban floods.
description: Hydrologic simulation using WRF-HYDRO and inundation simulation using HAND
DOI: 10.17603/ds2-g0m0-7j63
title: Reflexivity for Ethical Research Engagement with Socially Vulnerable Groups—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet provides a definition of reflexivity, tips for how to engage in reflexivity, and examples of activities and relevant case studies. It is designed for researchers and practitioners who are developing collaborations or are interested in working with socially vulnerable groups. 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: 10.15468/dl.h7xmt8
title: Occurrence Download

description: A dataset containing 349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.4768 36.66045,-4.44487 36.66045,-4.44487 36.68741,-4.4768 36.68741,-4.4768 36.66045))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 349 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015647-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-y8js-wm31
title: Reflection Estimation Using the Orbital Velocity Method

description: This project used velocity data from two different projects completed at the O.H. Hinsdale Wave Research Laboratory at Oregon State University to apply the orbital velocity method for estimation of wave reflection. Alternatively to established estimation methods, the orbital velocity method requires only a single point ADV and can be placed more conveniently near reflection surfaces or within a limited space. In numerical models, the orbital velocity method was found to be comparable to results obtained using previous methods of estimation but had yet to be applied to a physical model. This research is a great step towards expanding this method for semi-automatic separation of the incident and reflected waves. In its current form the orbital velocity method was not able to provide estimation for non-linear waves but it may be able to be expanded to irregular waves by means of Fourier Analysis and estimation of reflected waves from each harmonic component of the velocity data.
DOI: 10.17603/ds2-8ty8-d985
title: 2022 Natural Hazards Research Summit

description: The 2022 Natural Hazards Research Summit drew researchers, practitioners, and federal agency representatives together to reflect on the accomplishments achieved by the Natural Hazards Engineering Research Infrastructure (NHERI) community and to chart the path for the next decade of impactful natural hazards research. Convened in October, 2022 in Washington, D.C. with support from the National Science Foundation, the specific goals of the two-day Summit were to: (i) discuss and elucidate the research needs for the next 10 years, (ii) foster connections between the broader natural hazards community, and (iii) disseminate information on the resources and capabilities that NHERI offers to researchers focused on preventing natural hazards from becoming societal disasters. This report documents the findings and recommendations from the panel, town hall sessions, and visioning activities that took place at the Summit. The intended audience for the report is the natural hazards research community and the funding agencies that support its research. Accordingly, the report includes a research agenda developed with input from the Summit participants.
DOI: 10.15468/dl.uce3yq
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015642-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eathyp
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-2.2435 49.69213,-2.15728 49.69213,-2.15728 49.74299,-2.2435 49.74299,-2.2435 49.69213))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Falco peregrinus"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002573-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mzwjt
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "OccurrenceStatus is Present",
 "TaxonKey is Senecio linaresensis"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002572-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a226kn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-71.916 4.551159, -71.98648300000001 4.545589, -72.055228 4.529016, -72.120538 4.50185, -72.18080500000001 4.464759, -72.23454099999999 4.41866, -72.28042499999999 4.364688, -72.31732599999999 4.304174, -72.34433799999999 4.238609, -72.36079700000001 4.169609, -72.366302 4.098873, -72.360719 4.028143, -72.344189 3.959161, -72.317121 3.893623, -72.28018400000001 3.833144, -72.23428800000001 3.77921, -72.180564 3.733149, -72.120334 3.696094, -72.05507900000001 3.668955, -71.986405 3.6524, -71.916 3.646836, -71.845595 3.6524, -71.776921 3.668955, -71.71166599999999 3.696094, -71.651436 3.733149, -71.597712 3.77921, -71.551816 3.833144, -71.51487899999999 3.893623, -71.48781099999999 3.959161, -71.471281 4.028143, -71.465698 4.098873, -71.471203 4.169609, -71.487662 4.238609, -71.514674 4.304174, -71.551575 4.364688, -71.597459 4.41866, -71.651195 4.464759, -71.711462 4.50185, -71.77677199999999 4.529016, -71.845517 4.545589, -71.916 4.551159))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002574-260120142942310/datasets/export for details.
DOI: 10.57745/epwaml
title: Fig_S1_45-BE23-BE1 _0_with_IS_XRD_data.tab

description: :unav
DOI: 10.57745/z34lpn
title: Fig_S1-S2_45-BE23-BE2 _1_XRD_data.tab

description: :unav
DOI: 10.57745/yk2qnj
title: Fig_4_pharmaceutical_products_contents_data.csv

description: :unav