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24 results for “deformation analysis”

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zenodo40/100

Geodetic anomaly detection and analysis in the Campi Flegrei caldera (Italy) deformation pattern of the 2021-2023 escalating unrest phase

<p>Data used within the manuscript: "<strong><span>First evidence of a geodetic anomaly in the Campi Flegrei caldera (Italy) ground deformation pattern revealed by DInSAR and GNSS measurements during the 2021-2023 escalating unrest phase</span>"</strong></p> <p>&nbsp;</p> <p>Archive content:</p> <ul> <li><code>DTSLOS_CNRIREA_20150325_20231021_FB9K</code>: Line of Sight displacement time series retrieved by applying the P-SBAS algorithm to Sentinel-1 data set acquired from ascending orbits (Track 44) over Campi Flegrei caldera in the 20150325 - 20231021 interval. Data format is according to the&nbsp;<a href="https://gitlab.com/epos-tcs-satdata/doc/-/blob/main/TCS_SATD_Product_Description.md#los-displacement-time-series-dtslos" target="_blank" rel="noopener noreferrer">EPOS specification</a>.</li> <li><code>DTSLOS_CNRIREA_20150324_20231020_UJBI</code>: Line of Sight displacement time series retrieved by applying the P-SBAS algorithm to Sentinel-1 data set acquired from descending orbits (Track 22) over Campi Flegrei caldera in the 20150324 - 20231020 interval. Data format is according to the <a href="https://gitlab.com/epos-tcs-satdata/doc/-/blob/main/TCS_SATD_Product_Description.md#los-displacement-time-series-dtslos" target="_blank" rel="noopener noreferrer">EPOS specification</a>.</li> <li><code>Campi_Flegrei_GNSS_Weekly_Timeseries</code>: Weekly displacement time series of Campi Flegrei caldera GNSS network from 2016 to 2023.</li> </ul>

opencc-by-4.0Mar 2024View details →
zenodo40/100

Data for the analysis of aquifer-system deformation in the Doñana Natural Space (Spain) using unsupervised cloud-computed InSAR data and wavelet analysis

<p>This are the data necessary to&nbsp;correlate&nbsp;InSAR and hydrogeological information through wavelet analysis, by WaSAR&nbsp;Python script (Jim&eacute;nez-Gonz&aacute;lez &amp; Guardiola-Albert, 2022,&nbsp;http://doi.org/10.5281/zenodo.6334996). The structure and information about the data is the following:</p> <p>PSBAS: Processed Interferometric Synthetic Aperture Radar (InSAR) data from the European Space Agency (ESA) Sentinel-1 satellites to estimate line-of-sight (LOS) ground motion in the period 2014-2020 in the Do&ntilde;ana area (SW Spain).&nbsp;These images have been processed using the P-SBAS approach (Parallel Small BAseline Subset), which is the parallel computing solution for the SBAS processing chain at the ESA Geohazards Exploitation Platform (GEP) by CNR-IREA.</p> <p>Aggregates deformation: Former&nbsp;InSAR information aggregated in polygons</p> <p>Climate: rainfall and ET information in the Do&ntilde;ana area for the 2014-2020 period.&nbsp;Daily records of evapotranspiration and precipitation have been obtained from the agroclimatic stations belonging to the Junta de Andaluc&iacute;a (https://www.juntadeandalucia.es/agriculturaypesca/ifapa/riaweb/web/).</p> <p>Piezometry: piezometry information in Do&ntilde;ana area for the 2014-2020 period.&nbsp;Groundwater level information was provided by the piezometric networks of the Guadalquivir Hydrographic Confederation and the Geological and Mining Institute of Spain.</p> <p>Pump rates: estimated pumping rate time series in the Matalasca&ntilde;as touristic resort</p>

opencc-by-4.0Oct 2022View details →
zenodo40/100

Experimental data related to the publication: "In-situ analysis of the effect of residual fcc phase and special grain boundaries on the deformation dynamics in pure cobalt"

<p>The article figures were produced solely from these data sets employing data processing methods described therein. For experimental conditions and naming conventions please refer to the paper.</p> <p><br>1. Deformation data files contained within "deformation_data.zip":</p> <p>The .zip archive contains five files related to five samples of thermally treated cobalt:<br>def_co600.csv<br>def_co800.csv<br>def_co1100.csv<br>def_co1100-10c.csv<br>def_co1100-20c.csv</p> <p>The data were recorded during compression of the above-listed samples at room temperature.&nbsp;</p> <p><br>2. Acoustic emission (AE) data files contained within "AE_data.zip":</p> <p>The .zip archive contains four files related to four samples of thermally treated cobalt:<br>AE_co600.wav<br>AE_co800.wav<br>AE_co1100.wav<br>AE_co1100-20c.wav</p> <p>The AE data were recorded in continuous mode ("data streaming" at 2 MHz) during compression of the above-listed samples at room temperature. &nbsp;</p> <p>&nbsp;</p> <p>3. Electron back-scatter diffraction (EBSD) data files contained within "EBSD_data.zip":</p> <p>The .zip archive contains fifty-three .osc files related to samples of as-drawn and thermally treated cobalt within four folders:<br>0c - as-drawn and annealed samples (i.e. without thermal cycling)<br>10c - annealed samples after thermal cycling of 10 cycles<br>20c - annealed samples after thermal cycling of 20 cycles<br>ex-situ_def - ex-situ EBSD during deformation of selected samples</p> <p>The .osc data files represent EBSD data after clean-up procedures described in detail in the manuscript.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2024View details →
dryad36/100

Effects of taphonomic deformation on geometric morphometric analysis of fossils: a case study using the dicynodont Diictodon feliceps (Therapsida, Anomodontia)

<p>Taphonomic deformation, the distortion of fossils as a result of geological processes, poses problems for the use of geometric morphometrics in addressing paleobiological questions. Signal from biological variation, such as ontogenetic trends and sexual dimorphism, may be lost if variation from deformation is too high. Here, we investigate the effects of taphonomic deformation on geometric morphometric analyses of the abundant, well known Permian therapsid <i>Diictodon feliceps</i>. Distorted <i>Diictodon </i>crania can be categorized into seven typical styles of deformation: lateral compression, dorsoventral compression, anteroposterior compression, 'saddle-shape' deformation (localized collapse at cranial mid-length), anterodorsal shear, anteroventral shear, and right/left shear. In simulated morphometric datasets incorporating known 'biological' signals and subjected to uniform shear, deformation was typically the main source of variance but accurate 'biological' information could be recovered in most cases. However, in empirical datasets, not only was deformation the dominant source of variance, but little structure associated with allometry and sexual dimorphism was apparent, suggesting that the more varied deformation styles suffered by actual fossils overprint biological variation. In a principal component analysis of all anomodont therapsids, deformed <i>Diictodon </i>specimens exhibit significant dispersion around the 'true' position of this taxon in morphospace based on undistorted specimens. The overall variance associated with deformation for Anomodontia as a whole is minor, and the major axes of variation in the study sample show a strong phylogenetic signal instead. Although extremely problematic for studying variation in fossil taxa at lower taxonomic levels, the cumulative effects of deformation in this study are shown to be random, and inclusion of deformed specimens in higher-level analyses of morphological disparity are warranted. Mean morphologies of distorted specimens are found to approximate the morphology of undistorted specimens, so we recommend use of species-level means in higher-level analyses when possible.</p>

opencc-zeroSep 2020View details →
zenodo36/100

Data+Analysis+Plotting scripts for "Constraint on the dissipative tidal deformability of neutron stars"

<p>The .zip file contains three directories.&nbsp;</p> <p>1. GW170817-Strain: the raw data (glitch free). Downloaded from https://gwosc.org/events/GW170817/.<br>2. Bilby-Output: the output from running our Bilby sampling scripts. These can be found at https://github.com/JLRipley314/NRTidal-D/tree/main<br>3. Plotting-Scripts: the plotting scripts we used in our paper https://arxiv.org/abs/2312.11659.</p> <p>NOTE: If you want to make sure the plotting scripts work properly, you should download bilby and related dependencies as described in https://github.com/JLRipley314/NRTidal-D/tree/main (or at https://doi.org/10.5281/zenodo.11589416)</p>

openmit-licenseJun 2024View details →
zenodo36/100

ALOS-2 deformation analysis results, Teller 47, Seward Peninsula

<p>ALOS-2 deformation analysis results from the Seward Peninsula</p> <p>ALOS-2 stripmap observations from<br> 2015-07-16<br> 2016-07-14<br> 2017-07-13<br> 2019-07-11</p> <p>Estimates of the line-of-sight deformation velocity (_fitted_velocity.tif) and the estimated standard error (_fitted_se.tif) were obtained by Short-BAseline Subset (SBAS) processing. Two SBAS interferogram subsets were considered, one encompassing all years (2015-2019, filenames 1519) and one encompassing years 2015-2017 (filenames 1517). The first band of these images contains the line-of-sight velocity in (m/s), the second band the estimated displacement in the middle of the study period, referenced to the beginning of the respective study period.</p> <p>Regions with questionable results (e.g., where closure analyses did not successfully correct unwrapping errors) were delineated manually in two geopackage files.</p> <p>&nbsp;</p>

opencc-by-4.0Jan 2023View details →
dryad36/100

Effects of taphonomic deformation on geometric morphometric analysis of fossils: a case study using the dicynodont Diictodon feliceps (Therapsida, Anomodontia)

Open the record for dataset details and reuse information.

publicSep 2020View details →
zenodo32/100

Data for "Coherence-Guided InSAR Deformation Analysis in the Presence of Ongoing Land Surface Change in the Imperial Valley, California"

<p>Interferometric Synthetic Aperture Radar (InSAR) observations of the surface velocity field in the Imperial Valley, California, over the period of 2015-2019, derived from the European Satellite Agency&rsquo;s (ESA) Sentinel-1a/b satellite imagery.</p> <p>This dataset includes the following:</p> <p>1. Downsampled results in geographic coordinates (a grid spacing of 2&rdquo;). The average (secular) velocity (in mm/yr) is estimated along the satellite line-of-sight (LOS) directions from descending (D173) and ascending (A166) tracks over the spatial extent covering the Imperial Valley (S/N/W/E: 32.4/33.6/-116.2/-115). GeoTIFF files contain velocity values or color-coded RGB values using the Matplotlib colormap RdBu_r (ranging from -25 to 25 mm/yr). Masked pixels are assigned with NaN values.</p> <p>2. Original high-resolution results processed in radar coordinates (~28 m in range and ~42 m in azimuth). HDF5 files contain matrices of the same size for the longitude, latitude, LOS secular velocity, and LOS residual displacements at each ground pixel from both tracks. The temporal error of displacement time series at each pixel (in mm) is represented by the root-mean-square residual of data fits to a linear trend.&nbsp;Masked pixels are assigned with NaN values.</p>

opencc-by-4.0Apr 2020View details →
zenodo32/100

Validating x-ray line-profile defect analysis using atomistic models of deformed material

<p>Data and analysis (scripts and Jupyter notebooks) associated with publications:</p> <p>Validating x-ray line-profile defect analysis using atomistic models of deformed material (submitted to Physical Review Materials)</p> <p>Validation of x-ray line-profile analysis of extended defects in deformed crystals (submitted to Physical Review Letters)</p> <p>Preprints of these papers are included here</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

Data set for paper: "Numerical analysis of plastic deformation evolution in polycrystalline copper during cyclic loading with different frequencies"

<p>The dataset contains information necessary for performing the numerical analysis presented in the related paper. The input data are suited for the finite element code Z-set (http://www.zset-software.com/). The resulting data from the numerical calculations and source data for paper figures can be used for further analysis. These data are provided in ASCII format in text files and can be processed by any relevant software.</p>

opencc-by-4.0May 2024View details →
ClinicalTrials.gov32/100

Analysis of Respiration-induced Deformities of the Visceral and Renal Arteries Before and After Stenting

ClinicalTrials.gov study NCT04724863. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Is Gait Analysis for Proposed Rotational Deformities a Useful Resource

ClinicalTrials.gov study NCT05576064. IPD Sharing: UNDECIDED. Countries: 1. Publications: 8.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Aesthetic Analysis of Gluteal Deformity After Weight Loss and Assessment the Role of Autologous Tissue Augmentation for Gluteal Contouring

ClinicalTrials.gov study NCT04167215. IPD Sharing: Not stated. Countries: 0. Publications: 6.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad28/100

Data from: Long fusion correction of degenerative adult spinal deformity and the selection of the upper or lower thoracic region as the site of proximal instrumentation: a systematic review and meta-analysis

Open the record for dataset details and reuse information.

publicOct 2016View details →
geo24/100

Meta-analysis of honey bee neurogenomic response to deformed wing virus (worker)

GEO Series GSE130700. Apis mellifera. 96 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2020View details →
geo24/100

Meta-analysis of honey bee neurogenomic response to deformed wing virus

GEO Series GSE130785. Apis mellifera. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2020View details →
geo24/100

Meta-analysis of honey bee neurogenomic response to deformed wing virus (drone)

GEO Series GSE130702. Apis mellifera. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2020View details →
ClinicalTrials.gov24/100

Analysis of Respiration-induced Deformations in Visceral and Renal Arteries Before and After Stenting During Branched Stent Treatment.

ClinicalTrials.gov study NCT04991636. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

High Dose Re-Irradiation Utilizing Advanced Deformable Image Registration (DIR) and Individualized Organ At Risk (OAR) Dose Calculations With Organ Specific Toxicity Analysis

ClinicalTrials.gov study NCT05301101. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Early Detection of Anthracycline Cardiotoxicity by Echocardiographic Analysis of Myocardial Deformation in 2D Strain

ClinicalTrials.gov study NCT01212926. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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