Find research datasets worth reusing

opencc-by-4.0Jun 2024View details →

Supporting GIS file for: Tectonic landform and lithologic age impact uncertainties in fault displacement hazard models

This project aims to understand how the error in mapped fault location and the residual between the modeled and observed coseismic displacements vary with tectonic landform and the surficial lithologic age. We focus on four historical earthquakes: the M6.9 Borah Peak, 2014 M6.0 Napa, 2016 M7.0 Kumamoto, and 2016 M7.8 Kaikoura earthquakes. The GIS shape file contains information about the tectonic landform, the surficial landscape age, the observed and modelled coseismic displacement, fault location error, and the confidence ranking of the mapped fault trace. Each entry corresponds to a location where a displacement measurement was made following the earthquake of focus. Additional detail is given in the readme. The entries in the GIS file are collected from the following references: Chiou, B., Chen, R., Thomas, K., Milliner, C. W. D., Dawson, T., & Petersen, M. D. (2022). Surface Fault Displacement Models for Strike-Slip Faults. Natural Hazards Risk and Resiliency Research Center B. John Garrick Institute for the Risk Sciences University of California, Los Angeles, Report GIRS‐2022‐07, 186. https://doi.org/10.34948/N3RG6X Crone, A. J., Machette, M. N., Bonilla, M., Lienkaemper, J. J., Pierce, K., Scott, W., & Bucknam, R. (1987). Surface faulting accompanying the Borah Peak earthquake and segmentation of the lost river fault, central Idaho. Bulletin of the Seismological Society of America, 77. Graymer, R. W., Brabb, E., Jones, D. L., Barnes, J., Nicholson, R. S., & Stamski, R. E. (2007). Geologic Map and Map Database of Eastern Sonoma and Western Napa Counties, California (No. U.S. Geological Survey Scientific Investigations Map 2956). Retrieved from https://doi.org/10.3133/sim2956 Heron, D. W. (2018). Geological Map of New Zealand 1:250 000. GNS Science Geological Map 1 (2nd ed.) Lower Hutt, New Zealand. GNS New Zealand. Retrieved from https://www.gns.cri.nz/data-and-resources/geological-map-of-new-zealand/ Hoshizumi, H., Ozaki, M., Miyazaki, K., Matsuura, H., Toshimitsu, S., Uto, K., et al. (2004). Geological Map of Japan 1:200,000: Kumamoto. Geological Survey of Japan. Retrieved from https://www.gsj.jp/Map/EN/geology2-6.html#Kumamoto Janecke, S. U., & Wilson, E. (1992). Geologic map of the Borah Peak, Burnt Creek, Elkhorn Creek, and Leatherman Peak 7.5’ quadrangles, Custer County, Idaho, Scale 1:24,000. Idaho Geological Survey Technical Report 92-5. Retrieved from https://www.idahogeology.org/product/T-92-5 Kuehn, Nicolas, Kottke, A., Madugo, C., Sarmiento, A., & Bozorgnia, Y. (2022). Report GIRS 2022-06: UCLA–PG&E Fault Displacement Model. https://doi.org/10.34948/N3X59H Lewis, R. S., Link, P., Stanford, L. R., & Long, S. P. (2012). Geologic Map of Idaho. Moscow, Boise, Pocatello: Idaho Geologic Survey. Retrieved from https://www.idahogeology.org/maps-pubs-data/state-geologic-map Ponti, D. J., Blair, J. L., & Rosa, C. M. (2019). Digital Datasets Documenting Fault Rupture and Ground Deformation Features Produced by the Mw 6.0 South Napa Earthquake of August 24, 2014 [Data set]. U.S. Geological Survey. https://doi.org/10.5066/F7P26W84 Sarmiento, A., Madugo, D., Bozorgnia, Y., Shen, A., Mazzoni, S., Lavrentiadis, G., et al. (2021). Fault Displacement Hazard Initiative Database. Report No. GIRS-2021-08, Revision 3.3 Dated 29 May 2024. Los Angeles, CA: The B. John Garrick Institute for the Risk Sciences at UCLA Engineering. https://doi.org/10.34948/N36P48 Scott, C., Adam, R., Arrowsmith, R., Madugo, C., Powell, J., Ford, J., et al. (2023). Evaluating how well active fault mapping predicts earthquake surface-rupture locations. Geosphere, 19(4), 1128–1156. https://doi.org/10.1130/GES02611.1 Scott, C. P., Arrowsmith, J. R., Nissen, E., Lajoie, L., Maruyama, T., & Chiba, T. (2018). The M 7 2016 Kumamoto, Japan, Earthquake: 3-D Deformation Along the Fault and Within the Damage Zone Constrained From Differential Lidar Topography. Journal of Geophysical Research: Solid Earth, 123, 6138–6155. https://doi.org/10.1029/2018JB015581 Vincent, K. R. (1995). Implications for models of fault behavior from earthquake surface displacement along adjacent segments of the Lost River fault, Idaho: University of Arizona. Wagner, D., & Gutierrez, C. (2017). Preliminary Geologic Map of the Napa and Bodega Bay 30’ x 60’ Quadrangles, California. California Department of Conservation. Retrieved from https://ngmdb.usgs.gov/Prodesc/proddesc_105819.htm Zinke, R., Hollingsworth, J., Dolan, J. F., & Van Dissen, R. (2019). Three‐Dimensional Surface Deformation in the 2016 M W 7.8 Kaikōura, New Zealand, Earthquake From Optical Image Correlation: Implications for Strain Localization and Long‐Term Evolution of the Pacific‐Australian Plate Boundary. Geochemistry, Geophysics, Geosystems, 20(3), 1609–1628. https://doi.org/10.1029/2018GC007951

opencc-by-4.0Mar 2019View details →

Matlab code for the 'Force–displacement response of in-plane loaded unreinforced brick masonry walls: the Critical Diagonal Crack model'

The repository contains the the Matlab code and the test data (.csv files) used for the analyses and results presented in the research article: Force–displacement response of in-plane loaded unreinforced brick masonry walls: the Critical Diagonal Crack model, Bulletin of Earthquake Engineering, 2017, <a href="https://link.springer.com/article/10.1007%2Fs10518-016-0049-7">Link</a>

opencc-by-4.0Nov 2018View details →

Supplemental material to 'Evaluation of force-based and displacement-based out-of-plane seismic assessment methods for unreinforced masonry walls through refined model simulations'

This repository contains the results of discrete element simulations used to study the response of vertically-spanning unreinforced masonry walls under different wall configurations. The simulations are run using the software package UDEC 6.0 (<a href="https://www.itascacg.com/">Itasca</a>). The dataset has served as basis for the study conducted in the following paper: <blockquote> Godio M, Beyer K. Evaluation of force-based and displacement-based out-of-plane seismic assessmentmethods for unreinforced masonrywalls through refined model simulations. Earthquake Engng Struct Dyn. 2019;48:454-475. <a href="http://doi.org/10.1002/eqe.3144">DOI:10.1002/eqe.3144</a> </blockquote> Version history: V1: datasets '01_UDEC_VALIDATION' and '02_UDEC_RESULTS are added V2: minor modifications to the datasets: deletion of unwanted temporary files from the datasets V3: '00_CONTENT' PDF-file is added

opencc-by-4.0Aug 2019View details →

Data for "Poroelastic analyses of ground displacements induced by deep underground fluid injection"

This file includes the parameter setting of the reference models, the parameter adjustments during numerical experiments, and fluid properties.

Data on length, width, thickness, weight and displacement volume of blue mussel (Mytilus edulis) measured weekly in a mesocosm study over 13 weeks in 2022

This data file contains the on length, width, thickness, weight and displacement volume of blue mussel (Mytilus edulis) measured weekly in a mesocosm study over 13 weeks in 2022. The mussels were kept in the NIVA mesocosm facility in the Oslofjord, three replicates in each of 12 basins. Half of the basins had high wave level, half had low wave level. The length of the mussels were measuerd weekly for 13 weeks. Alså the % change from one week to the next is included in the dataset.

Dataset: Stack pressure on lithium-ion pouch cells: a comparative study of constant pressure and fixed displacement devices

Dataset for the paper Experimental Investigation of Power Available in Lithium-Ion Batteries. <ul> <li>Battery: Melasta LCO 6.8Ah pouch cell</li> </ul> Static Pressure Loss: <ul> <li>Test 01: Fixed displacement device</li> <li>Test 02: Constant pressure (springs)</li> <li>Test 03: Constant pressure (pneumatic)</li> </ul> Dynamic pressure variation: <ul> <li>Test 04</li> </ul> Spring stiffness investigation: <ul> <li>Test 05</li> </ul>

Data on changes in length, width, thickness, weight and displacement volume of blue mussel (Mytilus edulis) from the start to the end of the 13 week study in 2022.

This data file contains the on changes in blue mussel (Mytilus edulis) length, width, thickness, weight and displacement volume from the start to the end of a 13 week study in 2022. The mussels were kept in the NIVA mesocosm facility in the Oslofjord, three replicates in each of 12 basins. Half of the basins had high wave level, half had low wave level. The length of the mussels were measuerd weekly for 13 weeks. Alså the % change from one week to the next is included in the dataset.

Data for "Imaging magnetic spiral phases, skyrmion clusters, and skyrmion displacements at the surface of bulk Cu2OSeO3"

<div> Data from all the figures in the main text of "Imaging magnetic spiral phases, skyrmion clusters, and skyrmion displacements at the surface of bulk Cu2OSeO3". All files contain the data displayed in the paper.   </div>

opencc-by-4.0Oct 2024View details →

Data compilation for project Ground vertical displacement and its relationship with injection and extraction of fluids in North Louisiana

This repository contains the database for the project "Ground vertical displacement and its relationship with injection and extraction of fluids in North Louisiana". This is the third chapter of the PhD thesis of Hurtado-Pulido Authors: Hurtado-Pulido C., Ebinger, C. The datasets used in this project were compiled and curated by Hurtado-Pulido from different sources for her PhD dissertation.  Earthquakes in the ISLA dataset were collected during the ISLA project (2019-2022), which was led by Ebinger (the Project's PI). If you use this dataset or part of it please also cite the original references listed in the READme document. Please address any questions about this dataset to Hurtado-Pulido.

opencc-by-4.0Mar 2022View details →

The down-sampled displacements and source models of the 2021 Haiti earthquake

This dataset is about the down-sampled displacements and source models applied in the study 'Imaging geodetic analysis of the 2021 Mw 7.2 Nippes, Haiti earthquake: Transpressional rupture of a complex fault system'

opencc-by-4.0Mar 2023View details →

Data for "Food demand displaced by global refugee migration1 has unequal effects on country-level water stress"

Dataset associated with the paper "Food demand displaced by global refugee migration1 has unequal effects on country-level water stress" to appear in Nature Communications in 2023.

opencc-by-4.0Jan 2023View details →

DISPLACE Challenge @ Interspeech-2023

The DIarization of SPeaker and LAnguage in Conversational Environments [DISPLACE] challenge entails a first of kind task to perform speaker and language diarization on the same data, as the data contains multi-speaker social conversations in multi-lingual code-mixed speech. In multi-lingual communities, social conversations frequently involve code-mixed and code-switched speech. In such cases, various speech processing systems need to perform the speaker and language segmentation before any downstream task. The current speaker diarization systems are not equipped to handle multi-lingual conversations, while the language recognition systems may not be able to handle the same talker speaking in multiple languages within the same recording.  With this motivation, the DISPLACE challenge attempts to benchmark and improve Speaker Diarization (SD) in multi-lingual settings and Language Diarization (LD) in multi-speaker settings, using the same underlying dataset. For this challenge, a natural multi-lingual, multi-speaker conversational dataset will be distributed for development and evaluation purposes. There will be no training data given and the participants will be free to use any resource for training the models. The challenge reflects the theme of Interspeech 2023 - "Inclusive Spoken Language Science and Technology – Breaking Down Barriers" in its true sense.   Registrations are open for this challenge which will contain two tracks - a) Speaker diarization track and b) Language diarization track.  For more details, dates and to register, kindly visit the DISPLACE challenge website: <a href="https://displace2023.github.io/">https://displace2023.github.io/</a> We look forward to your team challenging to 'displace' the state-of-the-art in speaker, language diarization.

opencc-by-4.0Apr 2023View details →

Data and scripts for: "Food demand displaced by global refugee migration influences water use in already water stressed countries"

Data and script for the paper "Food demand displaced by global refugee migration influences water use in already water stressed countries"

From strain to displacement: using deformation to enhance distributed acoustic applications

Recovering displacement from distributed acoustic sensing data for seismic applications This repository contains the data to reproduce the figures presented in the following article: Trabattoni, A., Biagioli, F., Strumia, C., van den Ende, M., Scotto di Uccio. F., Festa, G., Rivet, D., Sladen, A., Ampuero J. P., Métaxian, J. P., Stutzmann, E. (2023). From strain to displacement: using deformation to enhance distributed acoustic applications. Geophysical Journal International. This article covers three geographic area separated into separate folders. More details can be found in the related articles.

Primary X-ray diffraction data for the study "Femtosecond X-ray snapshots reveal correlated displacements of specific distal atoms in a protein crystal"

The data set contains the primary X-ray diffraction data collected at the FemtoMAX beamline from bovine trypsin crystals at room temperature (motor gony). Every image represents a 150 fs X-ray pulse diffracting on the crystal. The photon energy was 11.15 keV (ΔE/E = 0.01), approximately 1 × 107 photon/pulse.  The images are stored in compressed numpy file format and the float pixels values describe energy in keV as generated by the time-over-threshold technique. The odd numbered images were recorded without a preceding THz pulse and the even numbered images were recorded after a single cycle THz pulse (2.1 THz peak, FWHM 2 THz) with approximately 50 ps delay. The data set also contain the laser delay associated with a rotation position (motor laserdelay, in seconds). Only one laser delay was recorded per step.

Discrete Element Method model results of fracturing and displacements above laccolith intrusions

This data set contains scripts and data in support of the publication: Morand A., Poppe S., Harnett C., Cornillon A., Heap M., Mège D. (2023). Fracturing and dome-shaped surface displacements above laccolith intrusions: Insights from Discrete Element Method modeling. submitted, Journal of Geophysical Research: Solid Earth, July 2023. The data set is composed of results of two-dimensional (2D) Discrete Element Method (DEM) modeling performed by Morand et al., with the licensed commercial Particle Flow Code 2D version 7.0 (PFC2D 7.0) from Itasca Consulting Group, Ltd. The DEM modeling simulates a new injection of magma into a preexisting laccolith intrusion and tracks the effect of host rock toughness, stiffness and the source depth. The data set corresponds to exported DEM particle and crack properties of the model results into ASCII files (.txt) and processed particle maximum finite shear strain calculated from particle displacements.

Processed ApRES displacement of internal reflectors at Helheim Glacier in August, 2016.

This is the processed ApRES product using dataset collected in August, 2016. A readme file is included to extract displacement time series at a given point.