cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9esprh
title: Occurrence Download

description: A dataset containing 4736 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acetabularia acetabulum (Linnaeus) P.C.Silva, 1952"
 ]
}

 The dataset includes 4736 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001084-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vy6z7j
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-1060.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lutjanus johnii (Bloch, 1792)"
 ]
}

 The dataset includes 150 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001083-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2quz2r
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paguma larvata (C.E.H.Smith, 1827), Prionailurus bengalensis (Kerr, 1792), Arctonyx collaris F.G.Cuvier, 1825, Melogale moschata (Gray, 1831), Mustela kathiah Hodgson, 1835, Mustela sibirica Pallas, 1773, Lutra lutra (Linnaeus, 1758), Martes flavigula (Boddaert, 1785), Herpestes urva (Hodgson, 1836), Ursus thibetanus G, Muntiacus reevesi (Ogilby, 1839), Elaphodus cephalophus Milne-Edwards, 1872, Muntiacus crinifrons (Sclater, 1885), Sus scrofa Linnaeus, 1758, Capricornis milneedwardsii David, 1869, Macaca thibetana (A.Milne-Edwards, 1870), Macaca mulatta (Zimmermann, 1780), Manis pentadactyla Linnaeus, 1758, Crocidura attenuata Milne-Edwards, 1872, Crocidura tanakae Kuroda, 1938, Chimarrogale leander Thomas, 1902, Typhlomys cinereus Milne-Edwards, 1877, Tamiops maritimus (Bonhote, 1900), Callosciurus erythraeus (Pallas, 1779), Dremomys pernyi (Milne-Edwards, 1867), Mus musculus Linnaeus, 1758, Apodemus agrarius (Pallas, 1771), Apodemus draco (Barrett-Hamilton, 1900), Micromys minutus (Pallas, 1771), Rattus losea (Swinhoe, 1871), Rattus norvegicus (Berkenhout, 1769), Niviventer tenaster (Thomas, 1916), Niviventer confucianus (Milne-Edwards, 1871), Niviventer fulvescens (Gray, 1847), Niviventer fulvescens (Gray, 1847), Leopoldamys edwardsi (Thomas, 1882), Rhizomys sinensis Gray, 1831, Hystrix brachyura Linnaeus, 1758, Petaurista petaurista (Pallas, 1766), Lepus sinensis Gray, 1832, Rhinolophus affinis Horsfield, 1823, Rhinolophus macrotis Blyth, 1844, Rhinolophus pearsonii Horsfield, 1851, Rhinolophus pusillus Temminck, 1834, Rhinolophus sinicus K.Andersen, 1905, Hipposideros armiger (Hodgson, 1835), Hipposideros pratti Thomas, 1891, Hipposideros pomona K.Andersen, 1918, Miniopterus fuliginosus (Hodgson, 1835), Myotis chinensis (Tomes, 1857), Myotis davidii (Peters, 1869), Myotis frater G.M.Allen, 1923, Myotis laniger (Peters, 1871), Myotis pilosus (Peters, 1869), Pipistrellus abramus (Temminck, 1838), Tylonycteris tonkinensis Tu, Csorba, Ruedi & Hassanin, 2017, Murina eleryi Furey, Thong, Bates & Gabor, 2009, Murina feae (Thomas, 1891), Murina huttonii (Peters, 1872), Harpiocephalus harpia (Temminck, 1840), Kerivoula furva Kuo, Soisook, Ho, Csorba, Wang & Rossiter, 2017)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Country is China",
 "Geometry POLYGON((114.459123 23.073075,120.760536 23.073075,120.760536 29.251706,114.459123 29.251706,114.459123 23.073075))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2024",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 62 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001085-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdg7kq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herwigia kreffti (Nielsen & Larsen, 1970)",
 "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 ((37.8208 19.3058,37.7519 19.8496,35.9648 19.8496,35.9648 10.8496,44.9648 10.8496,44.9648 11.0757,44.5079 10.8984,44.021 11.3535,43.8449 12.4869,43.4392 13.1773,42.7805 13.6576,42.3014 14.2854,41.9925 14.3935,41.4722 15.0272,40.477 15.6908,40.2575 16.0951,39.9024 16.3482,38.9748 18.3342,37.8208 19.3058))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009759-250525065834625/datasets/export for details.
DOI: 10.17603/ds2-w421-sx78
title: Historical Wave Hindcasts
title: in Irish Wave Hindcasts using WAVEWATCH III

description: This contains historical wave hindcasts around Ireland.
description: This dataset contains historical wave hindcasts around Ireland from 1979-2012, and Dec. 2013-Feb. 2014. All results were computed using WAVEWATCH III and ERA-Interim reanalysis winds. Hourly significant wave heights and other information is in directories for the full simulation grids. This data can be used to either provide historical wave properties for the simulation period, or may be analyzed to provide climatology information. Data ends close enough to shore that it may be used as forcing for many nearshore wave models.
DOI: 10.17603/ds2-4ch1-ec58
title: FLAC model validation Centrifuge NJM01
title: in Pile Foundations Under Inertia and Liquefaction-Induced Lateral Spreading

description: A 2D nonlinear dynamic model of a pile-supported wharf was created and calibrated using recorded data from a centrifuge test in prototype scale. The piles in the centrifuge test and the numerical model were subjected to the combined effects of inertial loads from the superstructure mass and kinematic loads from liquefaction-induced ground deformations during earthquake loadings. The numerical model was created in FLAC. Pressure-dependent multi-yield surface constitutive model was used to simulate undrained cyclic behavior of sands with different relative densities and the rockfill. The objective of the numerical modeling was to create a calibrated numerical model that captures key responses of the wharf and the soil in order to be used in subsequent studies. Practical simplifications were made to simulate the 3D response of piles, wharf, soils and the centrifuge container in a 2D analysis. The implications of these simplifications are discussed in the final report.
description: The project specific objectives focused on characterizing factors that affect how inertial and liquefaction-induced lateral ground deformations affect pile performance. Data from five centrifuge tests on pile-supported wharves were used to evaluate the interaction of inertial and kinematic demands on piles. Numerical models were created and validated using the experimental data and were used in nonlinear dynamic analysis to evaluate the effects of strong motion duration and pile inelasticity on the relative contribution of inertial and kinematic loads.
DOI: 10.17603/ds2-hfdm-bp53
title: RPI-A and RPI-B - Rensselaer Polytechnic Institute Experiments
title: in LEAP-ASIA-2019 Experiments (Liquefaction Experiments and Analysis Projects)

description: Building upon the database of LEAP-UCD-2017, twenty centrifuge model tests of liquefaction and lateral spreading are shared and compared in this archive. Some of the experiments were conducted according to the conventional centrifuge scaling laws; others were conducted according to a generalized scaling law. Please see the general report section of the published project for an overview comparison and background of all of the experiments. The comparisons presented in the general report section will serve as an index to help the users find individual experiments of interest.  This data from the model tests is published as ten separate experiments in this archive (one experiment per centrifuge facility). Each "experiment" includes one or more model tests and each model test includes between one and three destructive shaking events.
All of the tests modeled a 4 m thick deposit of Ottawa F-65 sand with a 5-degree surface slope in a rigid box. The tests covered a range of ground motion intensities and a range of relative densities to define the median response and the sensitivity of the response to relative density and shaking intensity. The ten centrifuge facilities involved in this test program included Cambridge University (UK), Ehime University (Japan), IFSTTAR (France), NCU (Taiwan), KAIST (Korea), Kyoto University (Japan), RPI (USA), UC Davis (USA), Tokyo Institute of Technology (Japan) and Zhejiang University (China).
description: Lateral spreading of a submerged slope and validation of generalized scaling laws for LEAP-ASIA-2019
DOI: 10.17603/ds2-fajy-8202
title: Weaving Equity into Infrastructure Resilience Research: A Decadal Review and Future Directions

description: The project explores the integration of equity into infrastructure resilience against natural hazards through a systematic review of existing literature. The uniqueness of the projects is in the comprehensive, multidimensional approach to reviewing equity in infrastructure resilience by employing an 8-dimensional assessment framework. The complied database is not only an academic contribution but also a practical guide. It can guide future research interested in enhancing research question, methodologies, and data focused on equity in infrastructure resilience. The primary audience includes researchers, engineers, and community leaders.
DOI: 10.17603/ds2-4j71-7603
title: Centrifuge Validation
title: in Simulations of Seismic Displacement of a Clay Slope using LS-Dyna

description: LS-Dyna finite element analysis of centrifuge test of clay slope shaken by sinusoidal motions
description: This project includes LS-Dyna finite element models, input motions, and outputs from a study of the earthquake-induced permanent displacement of a clay slope.  The permanent displacements computed from 105 earthquake motions are used to develop slope-specific displacement prediction models. Different prediction models are developed that utilize different ground motion intensity measures.  The results from this study are further analyzed in Cho and Rathje  (2020, https://doi.org/10.1016/j.soildyn.2020.106367) and used to compute probabilistic displacement hazard curves for a site in Northern California.
DOI: 10.17603/ds2-d4qr-dr18
title: Natural Hazards Research Summit 2024: Assessing the Flood-Reduction Benefits of Dike Relocation and Salt Marsh Restoration in Humboldt Bay, California

description: This project aimed to (1) assess how shoreline adaptation in diked marsh units affects wave generation in Humboldt Bay and total water levels along the shoreline and (2) examine the tradeoffs between increased fetch and vegetation-induced frictional effects due to dike realignment and salt marsh restoration.
DOI: 10.17603/ds2-dybk-ap06
title: Field reconnaissance of sinkholes in Borojevici and Mecencani, Croatia, geotechnical in-situ and laboratory investigation of near-sinkhole soils
title: in GEER - Croatia

description: RTC Lidar for sinkholes, Nanometrics for HVSR ratio, in the area of Mecencani and Borojevici, HVSR in two liquefied fields in Petrinja. Data describes the spatial position of sinkholes, depths, and widths. Four geotechnical boreholes were drilled in the vicinity of the sinkholes. In-situ investigation includes geotechnical classification and Standard Penetration Tests. Laboratory investigation includes index tests, CU, oedometer and SWRC tests.
description: This project documents an extensive sinkhole collapse that followed the Mw6.4 earthquake in Croatia. The sinkholes collapsed in a small area of two villages, where karstic rock underlays thick clayey sediments. Reconnaissance reports a total of 122 new cover collapse sinkholes within a 1.13 km2 area in twelve months following the MW 6.4 earthquake, described in the GEER report Geotechnical Reconnaissance and Engineering Effects of December 29, 2020, M6.4 Petrinja, Croatia Earthquake, and Associated Seismic Sequence.  The project contains spatial and temporal information about sinkholes, and geotechnical investigation works from four boreholes. The audience is geotechnical engineers, geologists, seismologists, and natural hazard professionals.
DOI: 10.17603/ds2-mxzs-1a07
title: Structural Dynamics Investigated Through 3-D Printing
title: in 3D-Printing Dynamics Design (3D3) Competition – Fall 2023

description: The 3D-printing Dynamics Design (3D3) Competition intends to train School of Civil Engineering & Environmental Science (CEES) undergraduates at the University of Oklahoma in fundamental concepts related to vibrations, structural dynamics, and earthquake engineering through a semester-long, hands-on competition run in parallel with Introduction to Dynamics for Architectural and Civil Engineers (CEES 3263). Competition participants, or 3D3 Scholars, design, build, and test a bench-scale shake table using 3D-printed components. The designs of these shake tables are published here, along with all the STL files needed for teachers or students elsewhere to fabricate the tables. Also, the data collected during the challenges is published.
description: The goal of this project is to gain a better understanding of the importance of structural integrity and how structures behave under motion. This report intends to investigate and analyze structural dynamics’ concepts with 3-D printed components in four unique challenges. Challenge 1 explores angular acceleration and rotational dynamics through a 3-D printed wheel. Challenge 2 focuses on reciprocating motion by designing and assembling a mechanism that is connected to a 3-D printed shake table. Challenge 3 involves creating structural columns which are assembled in a single-story structure. It also dives into concepts such as the natural frequency of a structure and how elements of design will influence it. Challenge 4 incorporates both Challenges 2 and 3 by shaking the single-story structure through the reciprocating motion mechanism. It also looks at important structural dynamics’ concepts such as transmissibility and resonance.
DOI: 10.17603/ds2-cks2-9e45
title: Delft3D/XBeach Model

description: Numerical modeling of hurricane effects on the barrier islands using Delft3D and XBeach.
DOI: 10.17603/ds2-rwg3-v337
title: Flash Flood Information Retrieval System : Machine Learning Dataset

description: This published dataset was used to train the Flash Flood Information Retrieval (FF-IR) System. The FF-IR system is a domain-specific search engine that accepts a past flash flood as an event of interest, fetches candidate webpages from the web, converts the webpages into numerical features, and uses the numerical features to make a prediction as to whether a candidate webpage contains relevant information about the event of interest or not. The system then returns a list of webpages that contain relevant information. FF-IR uses a Random Forest machine learning (ML) binary classification model to make the final prediction about relevance of the webpage; the dataset in this publication was used to train and test multiple ML techniques and selected Random Forest as the best performing one. The FF-IR outperforms direct Google searches by over 100%, measured by the F2-score. Natural hazard researchers and practitioners can use FF-IR to facilitate FF risk assessments and mitigation planning. The details of the system are added in this landing page as Related Work (https://doi.org/10.1016/j.envsoft.2023.105734).  The public access web software for the FF-IR system  called Flood Finder 360 is currently under development in continuous updates here: https://www.floodfinder360.com/. We created this dataset by randomly selecting 500 past flash floods, fetching their candidate webpages, manually assigning a label of relevance to them, and computing a set of numerical features to represent a webpage. In the dataset, the ‘Label’ column is the relevance label, and the remaining columns are the numerical features generated for each webpage using the codes available at https://doi.org/10.17603/ds2-ed3t-b759. The remaining details regarding the dataset (feature descriptions) are available in the readme file. This published dataset is a source for researchers and practitioners to improve upon the performances of the Flash Flood Information Retrieval (FF-IR) System.
DOI: 10.17603/ds2-6vj1-t096
title: Consistently computed ground motion intensity measures for liquefaction triggering assessment

description: The state of practice for assessing soil liquefaction relies on manifestation models developed from databases of liquefaction field case histories. A key component of these case histories is the seismic demand that led to soil liquefaction triggering or lack thereof. Traditionally, this seismic demand is represented by the peak ground acceleration (PGA), supplemented with the earthquake magnitude (M). The PGA values have generally been estimated using various methods. For instance, some PGAs were considered equal to the recorded PGA at a nearby seismic station, or estimated using ground motion models, 1D site response analyses, or judgment. This data release consists of PGA values at case history sites in the Next Generation Liquefaction (NGL) database, computed using a consistent approach based on Kriging interpolation and spatial correlation models developed using Bayesian inference. Values for three additional ground motion intensity measures (IMs) are also shared: peak ground velocity (PGV), cumulative absolute velocity (CAV), and Arias Intensity (AI). All the data associated with the calculation of these ground motion IMs are made available, including (1) recorded ground motion IMs for 31 major earthquake events, (2) coefficients and plots for a thousand spatial correlation models for each ground motion IM, and a maximum a posteriori model; and (3) gmKriger, a user-friendly Jupyter Notebook is included to allow users to compute ground motion intensity measures for events and locations of their interest. This dataset aims at making these data available to a broader audience of researchers.
DOI: 10.17603/ds2-hwr8-xh62
title: DesignSafe Annual Evaluation Report 2023-2024

description: This report summarizes the 2022-23 evaluation of the DesignSafe cyberinfrastructure, which was conducted by TACC’s Expanding Pathways in Computing (EPIC) STEM Evaluation Services. EPIC used a mixed methods approach to assess the implementation, outcomes, and impacts of DesignSafe on the natural hazards community. The evaluation aims to inform project improvements and report on outcomes over the project’s duration. Multiple data sources were used, including platform analytics, user profiles, annual and microsurvey responses, trainee surveys, and user and stakeholder interviews. 

Annual user survey findings indicated users have high overall satisfaction with DesignSafe and believe it to be useful to individuals in the natural hazards community. Respondents reused data for research purposes, to analyze other researchers’ data, to collaborate with others, and to publish, present, or propose research. Meanwhile, users reported challenges including glitches and the complexity of DesignSafe and its various components. Microsurvey respondents indicated they download data from the Data Depot primarily for education purposes. Training participants were engaged in and satisfied with the trainings, and they planned to apply their learning. They suggested the trainings include more examples and be extended in length. User interviews provided insights in how DesignSafe facilitated users’ research and collaboration. User interviewees expressed interest in trainings and more customized functions and applications. Stakeholders discussed DesignSafe’s major accomplishments including publishing the HPC Jupyter, moving to Tapis V3, and improving the platform and its supports. Stakeholder interviewees recommended focusing efforts on AI/ML and computing resources and improving documentation, training, outreach, use cases, and user experiences. Based on these findings, the evaluators recommend DesignSafe resolve technical glitches, improve access to technical resources, provide more user support for and consider changes to the Data Depot, enhance the user experience and site navigation, educate users and potential users, and pursue next steps strategically.
DOI: 10.17603/ds2-mx4b-na61
title: Hurricane Harvey Damage to Steel and Masonry Structures
title: in Damage to Steel and Masonry Structures Following 2017 Hurricane Harvey in Texas

description: Collection of damage data for structures in the Rockport, Aransas Pass, and Port Aransas, TX area following Hurricane Harvey. This RAPID award utilizes laser scanning (lidar), UAS (drone), and handheld digital camera imaging to capture and preserve digital 3D records of damaged structures.  The field investigation targets steel structures (communications towers, light-gauge metal warehouses, pre-engineered metal buildings) as well as comparative examples of masonry and wood structures. Lidar data and digital photo images can be used for 3D (SfM) recreations of damaged structures. Examples of aligned structures are included with the data set.
description: Hurricane wind damage to steel and masonry structures. Still digital images. Lidar scans. UAS/drone.
DOI: 10.17603/ds2-p9mf-gc56
title: Harmonic and recorded ground motion simulations of failure in bonded particle models of massive rock slopes
title: in Bonded Particle Modeling of Seismically-Induced Failure Mechanisms in Massive Rock Slopes

description: The mechanisms of failure of massive rock slopes were investigated using the bonded particle model implemented in PFC 4.0. Slopes A and B are identified in the files as 587 and 591, respectively.
description: This study investigates seismically-induced failure mechanisms in massive rock slopes using the bonded particle model. The data from this study can be used to track seismically-induced stresses in steep slope geometries leading up to failure initiation. The data can also be used to study the propagation of damage initiated by these failure mechanisms and track the development of mass movement enabled by the seismically-induced damage. The bonded particle model data includes the motion time-histories of an array of monitoring particles in the slope, the stress tensors of representative volume elements throughout loading, and the full model geometry, which can be used to reproduce the discrete element model.