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672 results for “Logs”
IODP Expedition 392, Hole U1580A - Well Logging Data
Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.
Old Swan Stairs Log
A log on the Thames foreshore about 20 meters east of Old Swan Stairs (near London Bridge, north bank), London. The log was recorded by Thames Discovery on March 6th 2022. https://twitter.com/ThamesDiscovery/status/1500058687423098888?s=20&t=K0QDOUuJPPSZcPdH4q3nhA 234 photos taken in March 2022 with a Sony a7R III and processed in Reality Capture. Source: Objaverse 1.0 / Sketchfab
Stem Post Log
The stem forms the forward end of the backbone of the Ship. It is made of oak and is a complicated section which can only be finished to shape after it has been set up on and attached to the forward Underloute. It has been slightly deepened compared to the illustration in order to take into the account of the strength required to withstand beaching and the significant hollowing which will be necessary to make the inner and outer surfaces of the plank lands (the *'Rabbet') parallel. *A 'Rabbet' is a step-shaped recess cut along the edge or in the face of a piece of wood The burial ship is being reconstrcuted in The Longshed, Woodbridge, Suffolk, UK and is viewable by the public when work is taking place. Please visit the website for further details about the project and how you can get invovled https://saxonship.org Laser Scanning undetaken by Felix Pedrotti & Jack Pink from the University of Southampton Source: Objaverse 1.0 / Sketchfab
Log Book
This item was 3D scanned using a Creaform Go Scan 50. For more information about this object, feel free to visit: https://www.visitindy.com/indianapolis-firefighters-museum-historical-society For more information about the 3D Digitization Program at IUPUI visit: https://www.ulib.iupui.edu/digitalscholarship/3ddig Source: Objaverse 1.0 / Sketchfab
PARSEC D(DO)MP. Project tracksheets: scholarly publications, non peer-reviewed digital outputs, dataset log, and software log.
<p>This project outcome is allied to the Data and Digital Output Management Plan for the project (Stall et al. 2023). This resource contains templates for others to use when tracking their project outcomes and usages, accompanied by filled worksheets for the PARSEC project up until the date of version 2 (30 December 2023).</p> <p>The material provided is available as examplars from the PARSEC project and for use by others (excel templates) for the following categories:</p> <ol> <li>Scholarly Publications </li> <li>Non Peer-Reviewed Digital Outputs (to include Datasets, Software, Conferences, Posters, Presentations, Training Materials, Workshop Materials, etc.)</li> <li>Datasets - working log of datasets reviewed for use by the project </li> <li>Software - working log for software reviewed by the project (to include Models, Notebooks, Workflow, etc.)</li> </ol> <p>V2 contains an update for non peer-reviewed digital outputs (2a) containing new and discovered outputs.</p> <p>Stall, Shelley, Specht, Alison, Corrêa, Pedro Luiz Pizzigatti, David, Romain, Edmunds, Rorie, Mabile, Laurence, Machicao, Jeaneth, Miyairi, Nobuko, Murayama, Yasuhiro, O'Brien, Margaret, Wyborn, Lesley, & Vellenich, Danton Ferreira. (2023). PARSEC Data and Digital Output Management Plan and Workbook. Zenodo. https://doi.org/<a href="https://doi.org/10.5281/zenodo.3891426">10.5281/zenodo.3891426</a>.</p>
Effects of log length on Polygraphus proximus attack
<p><em>Polygraphus</em> <em>proximus</em> Blandford (Coleoptera: Curculionidae: Scolytinae), a non-aggressive bark beetle, has caused mortality of <em>Abies</em> spp. in Western Siberia, Central Asia, European Russia as well as Japan. Removing dead trees (i.e. salvage logging) and thinning stands are considered one of the best practices to reduce the risk of bark beetle outbreaks. However, salvaging or removing dead and thinned trees requires significant effort. Thus, to determine whether cutting trees shorter would reduce <em>P</em>. <em>proximus</em> infestation, we exposed <em>A</em>.<em> sachalinensis</em> logs of various lengths on the ground in a forest stand. The attack density of <em>P</em>. <em>proximus</em> significantly decreased with shorter log lengths. It can be concluded that cutting into short logs and leaving them on the ground are effective practices to reduce the chance of <em>P</em>. <em>proximus</em> outbreaks after natural disturbances and thinning.</p>
Ship logs from Helmer Hanssen on PolarFront cruise 2024-01
<div> <p>See the Cruise Report (Daase 2024) for details.</p> <p>Daase, M. (2024). PolarFront January 2024 Cruise Report. Zenodo. <a href="https://doi.org/10.5281/zenodo.10623810" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10623810</a></p> </div>
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: log data]
<p>Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications.<br>To our knowledge, the dataset presented in the following is one of the largest published to date. It contains over 3 billion data points from 228 commercial NMC/C+SiO lithium-ion cells aged for almost 600 days under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells.<br>This dataset is an update to the dataset previously published under the DOI 10.35097/1947 and described in the publication with the DOI 10.1038/s41597-024-03831-x. This dataset only includes log data. The result data is published under the DOI 10.35097/1969.</p>
IODP Expedition 320T, Hole U1330A - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 320, Hole U1331A - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 320, Hole U1332A - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 340T, Hole U1309D - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 341, Hole U1417E - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 385, Hole U1547B - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 385, Hole U1546C - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 385, Hole U1545A - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 340, Hole U1399C - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 340, Hole U1397B - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 349, Hole U1431E - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
IODP Expedition 351, Hole U1438D - Well Logging Data
<p>Logging data are measurements of physical properties of the formation surrounding a borehole, acquired in situ after completion of coring (wireline logging) or during drilling (Logging-While-Drilling, LWD). The range of data (resistivity, gamma radiation, velocity, density, borehole images,…) in any hole depends on the scientific objectives and operational constraints.</p>
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International Brain Laboratory public data
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OpenNeuro
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