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3,050 results for “ablation”
Effect of pulse durations in pulsed bipolar radiofrequency ablation - Supplements
<p>The data consists of the Matlab .fig-files where all the datapoints are accessible. This raw data allows to confront our results and discussion.</p>
Microgram Barium Chloride Ablation Targets for Trapped Ion Experiments
Open the record for dataset details and reuse information.
A dataset of supraglacial meltwater rivers in the ablation area of Sermeq Avannarleq glacier, Greenland.
<p>Due to the increasingly dramatic global warming, surface meltwater is one of the main causes of the mass balance of Greenland Ice Sheet (GrIS). The detection and the understanding of distribution of supraglacial rivers is of great significance for the studies of glacier dynamics and mass balance. On 24 and 27 October 2021, based on a drone equipped with an RGB sensor, we survey the ablation area of Sermeq Avannarleq Glacier on the northeast of Jakobshavn, and obtained high-resolution orthophoto images of the nearly 40km<sup>2</sup> area of the glacier. Based on these images, the supraglacial rivers were visually interpreted and delineated. This dataset contains 8643 pairs of 256×256 pixels size orthophoto crops and labels.</p>
Suppl. Movie: Ablation of apical cell (left) or basal cell (right) in a 4-cell stage embryo
<p>Samuel Boscq Thesis Chapter 3 Supplementary data</p>
Frontal ablation estimates for 49 tidewater glaciers in Greenland
<p>This data product contains frontal ablation estimates for 49 selected tidewater glaciers in Greenland from 1987-2020 at 3-monthly resolution. Version 8 of the product is available as merged file for all 49 glaciers as point geometry in NetCDF (FrontalAblationEstimates.nc), Shapefile (FrontalAblationEstimates.shp), and GeoPackage (FrontalAblationEstimates.gpkg) format. The files are stored in the folder FrontalAblationEstimates.zip.</p> <ul> <li><strong>Time</strong> – Midpoint of time intervals on which output data is defined [days since 01/01/1950]</li> <li><strong>Name</strong> – Name of each glacier investigated in this study [unitless]</li> <li><strong>Lat </strong>– Latitude (EPSG:4326) [degrees]</li> <li><strong>Lon</strong> – Longitude (EPSG:4326) [degrees]</li> <li><strong>PolarX</strong> – Polar Stereographic X Coordinate (EPSG:3413) [m]</li> <li><strong>PolarY</strong> – Polar Stereographic Y Coordinate (EPSG:3413) [m]</li> <li><strong>F</strong> – Three-month-average frontal ablation estimates during time intervals [Gt/d]</li> <li><strong>F_Max_U </strong>– Maximum uncertainty over total time period [Gt/d]</li> <li><strong>F_U </strong>–<strong> </strong>three-month-average frontal ablation uncertainty for time intervals [Gt/d]</li> <li><strong>D</strong> – Three-month-average solid ice discharge during time intervals [Gt/d]</li> <li><strong>D_U</strong> – Three-month-average solid ice discharge uncertainty for time interval [Gt/d]</li> <li><strong>TMC</strong> – Terminus mass change (<em>dM/dt</em>) during time intervals [Gt/d]</li> <li><strong>TMC _U</strong> – Three-month-average terminus mass change uncertainty during time intervals [Gt/d]</li> <li><strong>L</strong> – Interpolated terminus change over time (<em>L</em>) [km]</li> <li><strong>Delta_L_W </strong>– Delineation and fjord width uncertainty (δL/<em>δW</em>; constant) [km]</li> <li><strong>H </strong>– Mean ice thickness within the polygon; maximum over the observation period (<em>H</em>) [km]</li> <li><strong>Delta_H</strong> – Ice thickness uncertainty with constant ArcticDEM/AeroDEM uncertainties of 0.1 m and 6 m, respectively (<em>δH</em>) [km]</li> <li><strong>Rho</strong> – Ice density (<em>ρ</em>i; constant) [kg/km<sup>3</sup>]</li> <li><strong>W </strong>– Mean fjord width (<em>W</em>) [km]</li> <li><strong>Bedrock_U </strong>– Mean uncertainty in bedrock topography along the centerline [km]</li> <li><strong>TI </strong>– Time interval over which data are averaged (t2-t1; 90 days for the results presented here) [d]</li> </ul> <p>The shapefile and geopackage files contain the same the same variables as the NetCDF, however the variable Time is formatted differently for ease of use, and the variables Polar X and Polar Y are contained in the field geometry as outlined below:</p> <ul> <li><strong>Time</strong> – Midpoint of time intervals on which output data is defined [yyyy-mm-dd]</li> <li><strong>Geometry</strong> – Point geometry containing X and Y coordinates in Polar Stereographic Coordinate Reference System (EPSG:3413) [m]</li> </ul> <p> </p> <p>The repository also includes figures for each investigated tidewater glacier to show the calculated frontal ablation estimates in relation with terminus positions change. The figures are available in the <em>Plots</em> folder.</p> <p>The frontal ablation estimates have been derived using a processing chain which is described in <em>Fahrner et al. (2025.).</em> The processing chain and further information can been found at <a href="../doi/10.5281/zenodo.8414729">10.5281/zenodo.8414729</a>. </p> <p>---------------------</p> <p>When using this dataset cite the associated publication as well as the dataset. </p> <p>---------------------</p> <p> </p> <p> </p>
Derived products from "Beyond glacier wide mass balances: parsing seasonal elevation change into spatially-resolved patterns of accumulation and ablation at Wolverine Glacier, Alaska"
<p>Distributed mass balances, emergence velocities, firn compaction rates, and co-registered 10 m resolution DEMs from "Beyond glacier wide mass balances: parsing seasonal elevation change into spatially-resolved patterns of accumulation and ablation at Wolverine Glacier, Alaska" (in review) (Zeller et al., 2022).</p>
Alzheimer's disease: Ablating single master site abolishes tau hyperphosphorylation
<p>Hyperphosphorylation of the neuronal tau protein is a hallmark of neurodegenerative tauopathies such as Alzheimer's disease. A central unanswered question is why tau becomes progressively hyperphosphorylated. Here, we show that tau phosphorylation is governed by interdependence— a mechanistic link between initial site-specific and subsequent multi-site phosphorylation. Systematic assessment of site interdependence identified distinct residues (threonine-50, threonine-69, and threonine-181) as master sites that determine propagation of phosphorylation at multiple epitopes. CRISPR point mutation and expression of human tau in Alzheimer's mice showed that site interdependence governs physiologic and amyloid-associated multi-site phosphorylation and cognitive deficits, respectively. Combined targeting of master sites and p38α, the most central tau kinase linked to interdependence, synergistically ablated hyperphosphorylation. In summary, our work delineates how complex tau phosphorylation arises to inform therapeutic and biomarker design for tauopathies.</p>
Time-averaged simulations results for bi-phasic blood flow simulations in realistic microvascular networks for multi-capillary dilation scenarios mimicking pericyte ablation
<p>Documentation to reproduce in silico analyses related to the manuscript<br> <strong>Pericyte remodelling is deficient in the aged brain and contributes to impaired capillary flow and structure</strong></p> <p>by</p> <p>Andrée-Anne Berthiaume, Franca Schmid, Stefan Stamenkovic, Vanessa Coelho-Santos, Cara D. Nielson, Bruno Weber, Mark W. Majesky and Andy Y. Shih</p> <p>Published in<br> Nature Communications (doi: 10.1038/s41467-022-33464-w)</p> <p>All simulations are performed based on the in silico blood flow model with discrete red blood cell (RBC) tracking as described in Schmid et al., 2017, PLoS Comp Biol (doi: <a href="https://doi.org/10.1371/journal.pcbi.1005392">10.1371/journal.pcbi.1005392</a>). The bi-phasic blood flow simulations have been performed in two realistic microvascular networks from the somatosensory cortex of the mouse first published in Blinder et al., 2013, Nature Neuroscience (doi: 10.1038/nn.3426). </p> <p>For further information and instructions please contact Franca Schmid (franca.schmid@unibe.ch, orcid.org/0000-0002-0689-9366).</p> <p><br> <strong>Simulation results:</strong></p> <p>All time-averaged simulation results are saved as vascular graphs building on the python library igraph and stored as python pickle files (Python 2.7). For each simulation two files are available: <em>verticesDict.pkl</em> and <em>edgesDict.pkl</em>containing all vertex and edge specific data, respectively. A summary of the vertex and edge attributes is provided below. The folder <em>Baseline</em> contains the simulation results for microvascular network 1 (MVN1) and MVN2 for the reference simulation, i.e. without any dilation. Folder <em>Dilated</em> contains the simulation results mimicking the four pericyte ablation scenarios. Subfolders <em>dc_x.x</em> contain the simulation results for the different diameter changes. Note that, folder <em>dc_0.0</em> contains no new simulation results but is a dummy folder containing the information about the vessels to be dilated for the different dilation scenarios (namely edge attribute: <em>toDilate</em> and <em>base_capillary</em>). </p> <p> </p> <p><strong>Reproducing figure 8:</strong></p> <p>Panels a-c: created by illustrating the simulation results with the open source software Paraview (v5.7.0).<br> Panels d-f & h: can be generated by executing make_all_figures.py in Python 2.7 within the provided folder structure.<br> Panel g: can be generated by executing make_figure_8g.py after installation of the the vgm-framework (further information see below). </p> <p><br> Output: All created Figures are saved in the folder <em>Figures</em>. The associated source data is available in Excel format in the folder <em>SourceData</em>.</p> <p> </p> <p><strong>Edge attributes:</strong></p> <p>diameter: vessel diameter [µm]<br> mainAV: 1 if ascending venule main branch, 0 otherwise<br> connectivity: vertex tuple to define location of edge<br> flow: flow rate [µm<sup>3</sup>/ms]<br> mainDA: 1 if descending arteriole main branch, 0 otherwise<br> nkind: 0: pial artery, 1: pial vein, 2: descending arteriole, 3: ascending venule, 4: capillary<br> htt: tube hematocrit [-]<br> toDilate: 1 if vessel is dilated for the current dilation scenario, 0 otherwise<br> base_capillary: 1 if vessel is the base capillary of the current dilation scenario, 0 otherwise</p> <p> </p> <p><strong>Vertex attributes:</strong></p> <p>index: vertex index<br> pressure: pressure [mmHg]<br> nkind: 0: pial artery, 1: pial vein, 2: descending arteriole, 3: ascending venule, 4: capillary<br> coords: vertex coordinates x,y,z [µm]<br> pBC: pressure boundary conditions at inflow vertices [mmHg], None at internal nodes</p> <p> </p> <p><strong>Obtaining simulation results:</strong><br> General:</p> <ul> <li>Running bi-phasic blood flow simulations requires setting-up the vgm-framework available at: <a href="https://github.com/Franculino/vgm.git">https://github.com/Franculino/vgm.git</a> (v.1.0).</li> <li>vgm is written in Python 2.7 and builds on standard python libraries.</li> <li>vgm has been used on macOS, Ubuntu and Windows Systems.</li> <li>Installation time < 5min. Further details available within the vgm README.</li> <li>Runtime depends on the network size, the chosen blood flow model and the initial conditions (e.g. ~8hrs for a Restart simulation of MVN1 with the bi-phasic blood flow model, see Restarty.py).</li> <li>scripts/Test.py provides an example how a simulation can be initiated. A Demo case is provided (details see below).</li> <li>Output: sampledict_BackUp_xx.pkl</li> <li>The bi-phasic blood flow model can be applied on all kind of microvascular graphs.</li> </ul> <p>Specific for current application:</p> <ul> <li>Simulations are a restart on the statistical steady state of the baseline cases.</li> <li>All relevant pre-processing functions for the current study are available in scripts/find_stroke_locations.py. Further details are available from the definition of the different functions.</li> <li>The simulations are initiated with scripts/Restart.py.</li> <li>To obtain the time-averaged simulation results scripts/01_put_together_sampledicts.py and scripts/02_convergenceDiscrete.py need to be executed. This results in the file G_averaged.pkl that is used for further analyses.</li> </ul> <p>Demo:</p> <ul> <li>Contains a small hexagonal microvascular network to test the code.</li> <li>1) Run Test.py to start the simulation</li> <li>2) Run 01_put_together_sampledicts.py</li> <li>3) Run 02_convergenceDiscrete.py to obtain time-averaged results (<em>G_averaged.pkl</em>)</li> </ul>
Laser ablation depth profile data for different IODP and ODP Sites and age intervals from Voigt et al. "Assessing the recrystallisation of planktonic foraminifera in Pelagic sediments and the reliability of Mg/Ca values with Laser Ablation (LA-) ICP-MS"
<p>These files contain the final processed laser ablation ICP-MS depth profiles of Mg/Ca and Sr/Ca through the shell walls of fossil planktonic foraminifera tests from specific time intervals from International Ocean Discovery Program (IODP) Sites U1334, U1335, U1336, U1337, U1338 and Ocean Drilling Program (ODP) SIte 1218 in the eastern equatorial Pacific.</p> <p>These data are from Voigt et al. "Assessing the recrystallisation of planktonic foraminifera in Pelagic sediments and the reliability of Mg/Ca values with Laser Ablation (LA-) ICP-MS", a manuscript submitted to the journal <em>Paleoceanography and Paleoclimatology</em></p>
Abbreviated MRI Protocol for the Assessment of Ablated Area in HCC Patients
<p>We uploaded the images of the article: Granata V, Grassi R, Fusco R, Setola SV, Belli A, Piccirillo M, Pradella S, Giordano M, Cappabianca S, Brunese L, Grassi R, Petrillo A, Izzo F. Abbreviated MRI Protocol for the Assessment of Ablated Area in HCC Patients. Int J Environ Res Public Health. 2021 Mar 30;18(7):3598. doi: 10.3390/ijerph18073598. PMID: 33808466; PMCID: PMC8037601.</p>
Supplementary data Quantitative elemental mapping of chondritic meteorites using laser ablation-inductively coupled plasma-time of flight-mass spectrometry (LA-ICP-TOF-MS)
<p>Supplementary data Quantitative elemental mapping of chondritic meteorites using laser ablation-inductively coupled plasma-time of flight-mass spectrometry (LA-ICP-TOF-MS)English</p>
Laser Ablation Inductively Coupled Plasma Mass Spectrometric Quantification of Isotope Trace Elements in Human Carcinoma Tissue - Stochastic Dynamics and Theoretical Analysis (SUPPORTING INFORMATION)
<p>Supporting information file of publication [https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4334866]. </p>
CopenHeartRFA - Integrated Rehabilitation of Patients Treated for Atrial Fibrillation With Radio Frequency Ablation
ClinicalTrials.gov study NCT01523145. IPD Sharing: NO. Countries: 1. Publications: 3.
Effect of Empirical Left Atrial Appendage Isolation on Long-term Procedure Outcome in Patients With Persistent or Long-standing Persistent Atrial Fibrillation Undergoing Catheter Ablation
ClinicalTrials.gov study NCT01362738. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of Automatic Image Fusion of a CT Volume With Ultrasound During Percutaneous Ablation Treatment of Hepatic Tumors
ClinicalTrials.gov study NCT04420026. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Radiofrequency Balloon Ablation for Atrial Fibrillation: Durability of Pulmonary Vein Isolated and Clinical Outome
ClinicalTrials.gov study NCT06296888. IPD Sharing: NO. Countries: 1. Publications: 11.
Identification, Electro-mechanical Characterisation and Ablation of Driver Regions in Persistent Atrial Fibrillation
ClinicalTrials.gov study NCT02950844. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Radiofrequency Ablation (RFA) Versus Antiarrhythmic Drug Treatment in Paroxysmal Atrial Fibrillation
ClinicalTrials.gov study NCT00133211. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Use of Non-ablative Vaginal Erbium YAG Laser for the Treatment of Prolapse
ClinicalTrials.gov study NCT04523298. IPD Sharing: NO. Countries: 1. Publications: 1.
Laparoscopic Hepatectomy and Radiofrequency Ablation in the Treatment of Early Hepatocellular Carcinoma
ClinicalTrials.gov study NCT02243384. IPD Sharing: Not stated. Countries: 1. Publications: 24.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.