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3,050 results for “ablation”
Ice sheet surface elevation change from ablation stake measurements on bare ice in the western Greenland ablation zone during July 2016
<p>Measurements of ice surface elevation change from a network of twelve bamboo ablation stakes installed in the western Greenland ice sheet ablation zone (67.0496o N, 49.0201o W, 1215 m a.s.l.). Stakes were installed by drilling 3 m deep holes into the ice, inserting the bamboo stakes, and allowing them to freeze into the ice for 24 hours. Following the 24 hour freeze-in period, measurements of the distance from the top of the stake to its base were recorded at nominal 3 hour intervals continuously from 12:00 local time (UTC-2) on 6 July 2016 to 23:00 local time on 12 July 2016. Prior to each measurement, a 24×24 cm square wooden ablation board was placed at the base of the stake and oriented to true north. This board operated as a datum from which the stake height above the ice surface was measured.</p>
Hyperspectral Imaging Dataset for Laser Thermal Ablation Monitoring in Vital Organs
<p><strong>Objectives:</strong> The objective of the research was to use hyperspectral imaging (HSI) to detect thermal damage induced in vital organs (such as the liver, pancreas, and stomach) during laser thermal therapy. The experimental study was conducted during thermal ablation procedures on live pigs.</p> <p><strong>Ethical Approval:</strong> The experiments were performed at the Institute for Image Guided Surgery in Strasbourg, France. This experimental study was approved by the local Ethical Committee on Animal Experimentation (ICOMETH No. 38.2015.01.069) and by the French Ministry of Higher Education and Research (protocol №APAFiS-19543-2019030112087889, approved on March 14, 2019). All animals were treated in accordance with the ARRIVE guidelines, the French legislation on the use and care of animals, and the guidelines of the Council of the European Union (2010/63/EU).</p> <p><strong>Description:</strong> During our experimental study, we used a TIVITA hyperspectral camera to acquire hypercubes of size 640x480x100 voxels, indicating 640x480 pixels for 100 bands, and regular RGB images at each acquisition step. These bands were acquired directly from the hyperspectral camera without additional pre-processing. The hypercube was acquired in approximately 6 seconds and synchronized with the absence of breathing motion using a protocol implemented for animal anesthesia. Polyurethane markers were placed around the target area to serve as references for superimposing the hyperspectral images, which were acquired using target areas selected according to the hyperspectral camera manufacturer's guidelines.</p> <p>As part of our investigation, we included hyperspectral cubes from 20 experiments conducted under identical conditions in our study. The hyperspectral cubes were collected in three distinct stages. In the first stage, the cubes were gathered before laparotomy at a temperature of 37°C. In the second stage, we obtained the cubes as the temperature gradually increased from 60°C to 110°C at 10°C intervals. Finally, in the last stage, the cubes were collected after turning off the laser during the post-ablation phase. Thus, we obtained a total of 233 hyperspectral cubes, each consisting of 100 wavelengths, resulting in a dataset of 23,300 two-dimensional images. The temperature changes were recorded, and the “<em>Temperature profile during laser ablation</em>” image illustrates the corresponding profile, highlighting the specific time intervals during which the hyperspectral camera and laser were activated and deactivated. To provide a visual representation of the collected data, we have included several examples of images captured from different organs in the “<em>Examples of ablation areas</em>” figure.</p> <p>The raw dataset, comprising 233 hyperspectral cubes of 100 wavelengths each, was transformed into 699 single-channel images using PCA and t-SNE decompositions. These images were then divided into training and test subsets and prepared in the COCO object detection format. This COCO dataset can be used for training and testing different neural networks.</p> <p><strong>Access to the Study:</strong> Further information about this study, including curated source code, dataset details, and trained models, can be accessed through the following repositories:</p> <ul> <li><strong>Source code:</strong> <a href="https://github.com/ViacheslavDanilov/hsi_analysis" target="_blank" rel="noopener">https://github.com/ViacheslavDanilov/hsi_analysis</a></li> <li><strong>Dataset:</strong> <a href="https://doi.org/10.5281/zenodo.10444212" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10444212</a></li> <li><strong>Models:</strong> <a href="https://doi.org/10.5281/zenodo.10444269" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10444269</a></li> </ul>
A multi-method study of femtosecond laser modification and ablation of amorphous hydrogenated carbon coatings
<p>We report here the optical constants of ECR (MW) and RF generated a-C:H layers before and after laser irradiation. The work is described in the following publication:</p> <p><a title="A multi-method study of femtosecond laser modification and ablation of amorphous hydrogenated carbon coatings" href="https://doi.org/10.1007/s00339-024-07980-z" target="_blank" rel="noopener">https://doi.org/10.1007/s00339-024-07980-z</a></p> <p>The data uploaded are the optical constants (n and k) of the a-C:H layers before (base) and after (ROIx) laser irradiation. Please see the article for the nomenclature of the data and for the methods applied ot produce the layers, laser shots, and OK data.</p>
Mean snowpack ablation data for Green Lakes Valley, 1969 - 2005.
Lowering of the snowpack surface by ablation (melt) was estimated on a biweekly to weekly basis in the Green Lakes Valley during the summer months. Poles were driven into the snowpack to form transects in several snow-accumulation areas (east face of Arikaree Peak, talus on the north side of Kiowa Peak, rock glacier/wetland between Green Lakes 4 and 5, Arikaree Glacier, Green Lakes 4 and 5, and the Martinelli basin). The height difference (cm) between the snow surface and the top of each pole was recorded. On the subsequent visit the new height difference was recorded and the pole was driven into the snow and the reset height was recorded. Poles in a given transect were relocated as necessary during the course of the season.
Transect snowpack ablation data for Green Lakes Valley, 1993 - 2005.
Lowering of the snowpack surface by ablation (melt) was estimated on a biweekly to weekly basis in the Green Lakes Valley during the summer months. Poles were driven into the snowpack to form transects in several snow-accumulation areas (Arikaree Glacier, Green Lakes 4 and 5, and the Martinelli basin). The height difference (cm) between the snow surface and the top of each pole was recorded. On the subsequent visit the new height difference was recorded and the pole was driven into the snow and the reset height was recorded. Poles in a given transect were relocated as necessary during the course of the season.
Raw and analyzed data for manuscript: "Wood surface ablation and nanostructuring using a femtosecond laser"
<p><strong>Abstract</strong></p> <p>The processing of Norway spruce and European beech wood specimens by means of femtosecond laser pulses was investigated on conditioned natural samples as well as on samples coated with beeswax or a water-borne stain. Depending on laser pulse energies and processing times, this allowed for different modes of surface modification. At low laser intensities, an etching almost without thermal impact was detected, whereas higher laser intensities led to the generation of hierarchical micro and nanostructures. The usage of argon or atmospheric air as cover gases during the laser processing had only minor effects on the surface structures. Observed differences in the etching or functionalization of the wooden surfaces mostly originated in the chemical structure of the surface finish and the physical properties of the wood substrates, such as the density or moisture content.</p>
Animation to visualize the effects of laser ablation on unhydrated cement clinker
<p>This animation illustrates the effect of the damage on the surface of unhydrated cement clinker caused by a pulsed laser for a LA-ICP-MS mapping. The dataset contains the raw data and the final animations.</p> <p>The images were acquired using a Thermofischer Scientific Helios G4 UX microscope at 2 kV/0.1 nA. The surface was tilted in two orientations by a few degree and an image was acquired after every tilt. The ablated area has a size of approx. 367 x 300 µm.</p> <p>A detailed description of the specimen and the parameters used for the analysis can be found in the <a href="https://doi.org/10.1016/j.cemconres.2022.106875">corresponding paper</a>.</p> <p><strong>Funding</strong></p> <p>The research was supported by the Deutsche Forschungsgemeinschaft (DFG), grant number <a href="https://gepris.dfg.de/gepris/projekt/344069666">344069666</a>.</p>
Ablation stake length record at Glaciar Perito Moreno, Patagonia
<p>These are records of ablation stake length observed at Glaciar Perito Moreno in southern Patagonia. </p>
DATASET: Near-Infrared Photothermal Ablation of Biofilms using Protein-Functionalized Gold Nanospheres with a Tunable Temperature Response
<p>This dataset contains the DLS, TEM, temperature data, and other experimental data to accompany the manuscript.</p>
McMurdo Dry Valleys LTER: High frequency, 1-min pressure measurements of continuous stage (lake level) and ice surface ablation from Lake Hoare, Antarctica from 2012-2016
As part of the McMurdo Dry Valleys Long Term Ecological Research program, continuous stage (lake level) and ice surface ablation were collected at Lake Hoare, located in Taylor Valley, Antarctica. This package contains data measured at 1-minute intervals from Nov 2012 to Apr 2013, Nov 2013 to Feb 2014, and Nov 2014 to Oct 2016.
Mean snowpack ablation data for Niwot Ridge and Green Lakes Valley, 1992 - 1993.
Lowering of the snowpack surface by ablation (melt) was measured on a bimonthly basis within couloirs above the Green Lakes and Isabelle Valleys during the summer months. One-inch diameter PVC poles were driven into the snowpack to form vertical transects within each couloir. The height difference (cm) between the top of each pole and the snow surface was recorded. On the subsequent visit the new height difference was recorded and the pole driven into the snow and the reset height was recorded. Poles in a given transect were relocated as necessary during the course of the season.
Transect snowpack ablation data for Niwot Ridge and Green Lakes Valley, 1992 - 1993.
Lowering of the snowpack surface by ablation (melt) was measured on a bimonthly basis within couloirs above the Green Lakes and Isabelle Valleys during the summer months. One-inch diameter PVC poles were driven into the snowpack to form vertical transects within each couloir. The height difference (cm) between the top of each pole and the snow surface was recorded. On the subsequent visit the new height difference was recorded and the pole driven into the snow and the reset height was recorded. Poles in a given transect were relocated as necessary during the course of the season.
Laser Ablation Electrospray Ionization Mass Spectrometry Imaging (LAESI MSI) of Arabidopsis thaliana leaf
<p>Mass spectrometry imaging (MSI) data set in imzML format, obtained from the 5th leaf of an Arabidopsis thaliana wildtype plant using Laser Ablation Electrospray Ionization. Laser ablation took place with 20 pulses per pixel at an energy of 58.4 µJ/pulse. The ROI measures 9 mm by 5 mm and was sampled with a step size of 200 µm.</p>
Meteor-ablated Aluminum in the Mesosphere-Lower Thermosphere
<p>Meteor-ablated Aluminum in the Mesosphere-Lower Thermosphere</p> <p>by John Plane, Shane Daly, Wuhu Feng, Michael Gerding and Juan Carlos Gómez Martín.</p> <p>The repository contains the data used in the above paper.</p>
Debris temperature and ablation measurements from the Lirung Debris-Covered Glacier (2013-2014), Nepal
<p>These data are from the debris-covered portion of Lirung Glacier, Langtang Valley located in the Langtang National Park of the Nepal Himalaya that were collected during three field expeditions between September 2013 and April 2014. The data includes debris temperature measurements at two different sites of the glacier in three different seasons of the year 2013 (Monsoon and Winter) and 2014 (Pre-Monsoon). Debris temperature measurements from thermistors located at the surface (Black-colored dirty ice) to up to 40 cm from the surface. Dataset also included the ablation measurement in three seasons at different debris-thicknesses. Below is a brief description of the two different datasets:</p> <p>- Ablation_stake_data_Lirung_glacier_CHAND.csv: ablation stake measurement in the Monsoon and Winter season of 2013 and pre-monsoon season of 2014 from Chand and Kayastha (2018) and Chand et al. (2015).</p> <p>- Debris_temperature_profile_Lirung_Glacier_CHAND.csv: debris temperature measurements (Degree Celcius) where the depth is reported in cm from Chand and Kayastha (2018).</p> <p>----- Citing datasets -----</p> <p>Chand, M. B., and Kayastha, R. B. (2018). Study of thermal properties of supraglacial debris and degree-day factors on Lirung Glacier, Nepal. Sciences in Cold and Arid Regions, 10(5): 357-368 doi:10.3724/SP.J.1226.2018.00357</p> <p>Chand, M. B., Kayastha, R. B., Parajuli, A., and Mool, P. K. (2015). Seasonal variation of ice melting on varying layers of the debris of Lirung Glacier, Langtang Valley, Nepal, Proc. IAHS, 368, 21–26, https://doi.org/10.5194/piahs-368-21-2015</p> <p> </p>
Figure 8. Gills from the ablation experiment, with images A–D from the side with the 3M epipod ablated and images E–H from the side with all gill grooming appendages intact. A in Grooming behaviors and fouling of the spider crab Libinia dubia (Decapoda: Epialtidae)
Figure 8. Gills from the ablation experiment, with images A–D from the side with the 3M epipod ablated and images E–H from the side with all gill grooming appendages intact. A. Dorsal view of gill, with the central axis and lamellae both fouled; inset showing "shark teeth" nodules on lamellae with minimal fouling. B. Ventral view of gill, with minimal fouling between lamellae. C. Ventral view of gill, with heavily fouled lamellae mostly of sediment. D. Fouling by a gooseneck barnacle attached to lamellae, with minimal. E. Dorsal view of gill, with the central axis and lamellae both fouled; inset showing "shark teeth" nodules on lamellae with fouling. F. Ventral view of gill, with fouling in between lamellae. G. Ventral view of gill, with fouling on gill surface and simple setae along edge. H. Fouling by a gooseneck barnacle attached to lamellae, with minimal fouling.
Data and code for publication: A simple preparation protocol for shipping and storage of tissue sections for laser ablation-inductively coupled plasma-mass spectrometry imaging
<p>Data & Code release for publication:</p> <p>Rebecca Buchholz, Sebastian Krossa, Maria K Andersen, Michael Holtkamp, Michael Sperling, Uwe Karst, May-Britt Tessem, A simple preparation protocol for shipping and storage of tissue sections for laser ablation-inductively coupled plasma-mass spectrometry imaging, <em>Metallomics</em>, Volume 14, Issue 3, March 2022, mfac013, <a href="https://doi.org/10.1093/mtomcs/mfac013">https://doi.org/10.1093/mtomcs/mfac013</a></p> <p>Python code for LA ICP MS imaging data segmentation</p> <p>Code & Data also on <a href="https://github.com/sekro/la-icp-msi_segmentation">github</a></p> <p>Thresholding based segmentation of LA-ICP-MS imaging data</p> <p>Description</p> <p><a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/src/main.py">src/main.py</a> - run this to process LA ICP MS data in data folder - generates matplotlib.figures - project specific setup <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/src/laicpms_data_handler.py">src/laicpms_data_handler.py</a> - contains object to import, handle and segment (shimadzu) raw data</p> <p>Dependencies</p> <p>Python 3.8.1 or newer</p> <p>For packages see <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/requirements.txt">requirements.txt</a></p> <p>Data</p> <p>LA-ICP-MS imaging data of human prostate tissue of the elements Zn, Fe & P. Details on data generation & collection in <a href="https://doi.org/10.1093/mtomcs/mfac013">publication</a>. LA-ICP-MS imaging data as plain text files (comma-separated values)</p> <ul> <li>Condition 1 = fresh frozen (FF)</li> <li>Condition 2 = room temperature vacuum dried and sealed (RTV)</li> <li>Condition 3 = formalin fixed (FFix)</li> <li>Condition 4 = formalin fixed, paraffin sealed (FFPS)</li> </ul> <p>3 replicate sectioning sets named A, B, C</p> <p>File-naming: LA_Data_CISN1.csv, where I = [1, 2, 3, 4] is indicating the condition used and N = [A, B, C] is indicating the replicate set</p> <p>License</p> <p>Data</p> <p>CC-BY 4.0 - respective <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/data/LICENSE">LICENSE</a> file in data folder</p> <p>Source code</p> <p>MIT - respective <a href="https://github.com/sekro/la-icp-msi_segmentation/blob/master/src/LICENSE">LICENSE</a> file in src folder</p>
BioMates - Bio-oil from ablative fast pyrolysis: Identifiers for WP3- samples and blends
<p>Ablative Fast Pyrolysis (AFP) is the first step in the BioMates-concept to convert herbaceous biomass into co-feed with reliable properties for conventional refineries (www.biomates.eu). The document provides the coding behind the identifiers used for samples and sample blends produced by RISE via AFP within the H2020-project BioMates.</p>
Data for: "Simulation of uranium plasma plume dynamics in atmospheric oxygen produced via femtosecond laser ablation"
<p>Data generated by 2D reactive, compressible, multi-species fluid model of uranium femtosecond laser ablation in an atmospheric oxygen environment. The dataset consists of a series of plain text tabular data files recorded at several time points during the simulation run. The data files are numbered according to the simulation time in nanoseconds (FFF-0100.txt is the data at 100 ns) and are given at intervals of 50 ns for the first 500 ns of simulation time, and every 100 ns thereafter, up to the total simulation time of 10000 ns. The initial conditions are provided in the first data file (FFF-0000.txt). Each data file contains spatially-resolved values of the fluid moments along with the molar concentrations of each species considered in the model (total of 30 species), given in a column format delimited by spaces.</p> <p>For details on the model implementation and simulation conditions, please refer to the associated manuscript.</p>
Supplemental Figure 1 for Macrophage Secreted TGF-β1 Contributes to Fibroblast Activation and Ureteral Stricture Following Ablation Injury
<p>Supplemental Figure 1. TGF-β1 (brown) and Masson Trichrome (blue) staining of healthy ureteral wall adjacent to the site of IRE treatment. A-D) Sparse numbers of spindle shaped cells (fibroblasts, arrows) can be seen in healthy ureter adjacent to IRE treated ureter but their numbers were not different from what was observed in untreated control ureter. F-H) Ureteral wall adjacent to the site of IRE treatment stains positive for collagen (blue) but the levels remain invariant through different timepoints. The muscularis (asterisk) of the ureteral wall is preserved, with no evidence of scarring.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.