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4,107 results for “pointing”
Data of 'Enhancement of Magnonic Frequency Combs by Exceptional Points'
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Data of 'Enhancement of Magnonic Frequency Combs by Exceptional Points'
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DFT computational output files _ Single Point Calculation
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Visium datasets of mouse liver in different time points after APAP injection
<p>The datasets were used to analyse the spatial trascriptomics for the manuscript "The spatiotemporal program of zonal liver regeneration following acute injury" (DOI https://doi.org/10.1016/j.stem.2022.04.008). Mice were injected a single dose of 300 mg/kg APAP, and livers were harvested 24, 48 and 72 hours after injection. livers were sectioned for Visium spatial transcirpomics (N = 2 mice per time point). see article's methods section for more detail. </p> <p>other datasets used in the study are deposited in https://zenodo.org/records/6035873</p> <h1></h1>
A Dynamic Points Removal Benchmark in Point Cloud Maps
<p>Uniformat Dataset LiDAR Point Cloud Data [PCD format: with pose and points (x,y,z,/i)] <br>We recommend you read this wiki page first to know about data: <a href="https://kth-rpl.github.io/DynamicMap_Benchmark/data/">https://kth-rpl.github.io/DynamicMap_Benchmark/data/</a><br>For methods detail: <a href="https://github.com/KTH-RPL/DynamicMap_Benchmark">DynamicMap_Benchmark repo</a>, <a href="https://github.com/KTH-RPL/dufomap">DUFOMap</a>, <a href="https://github.com/MKJia/BeautyMap">BeautyMap</a>.</p> <ul> <li>00: <a href="https://www.cvlibs.net/datasets/kitti/index.php">KITTI sequence</a> 00 [VLP-64] from frame 4390 to 4530</li> <li>05: <a href="https://www.cvlibs.net/datasets/kitti/index.php">KITTI sequence</a> 05 [VLP-64] from frame 2350 to 2670</li> <li>av2: <a href="https://www.argoverse.org/av2.html">Argoverse 2.0</a> one sequence on <em>07YOTznatmYypvQYpzviEcU3yGPsyaGg__Spring_2020. </em>[2 x VLP-32]</li> <li>KTH campus: <a href="https://mcdviral.github.io/">CVPR'24 MCD</a>(Leica RTC360) For convenience teaser running, we include only 18 frames in data. Please check <a href="https://mcdviral.github.io/">the MCD project page</a> for more.</li> <li>semindoor: semi-indoor dataset collected by [VLP-16], collected by ourselves. </li> <li>twofloor: complex structure with two floors[Livox mid-360], collected by ourselves.</li> </ul> <p> </p> <table> <tbody> <tr> <td>Dataset</td> <td>Description</td> <td>Sensor Type</td> <td>Total Frame Number</td> </tr> <tr> <td>KITTI sequence 00</td> <td>in a small town with few dynamics (including one pedestrian around)</td> <td>VLP-64</td> <td>141</td> </tr> <tr> <td>KITTI sequence 05</td> <td>in a small town straight way, one higher car, the benchmarking paper cover image from this sequence.</td> <td>VLP-64</td> <td>321</td> </tr> <tr> <td>Argoverse2</td> <td>in a big city, crowded and tall buildings (including cyclists, vehicles, people walking near the building etc.</td> <td>2 x VLP-32</td> <td>575</td> </tr> <tr> <td>KTH campus (no gt)</td> <td>Collected by us (Thien-Minh) on the KTH campus. Lots of people move around on the campus. The DUFOMap paper cover image is from this one.</td> <td>Leica RTC360</td> <td>18</td> </tr> <tr> <td>Semi-indoor</td> <td>Collected by us (Qingwen & Mingkai), running on a small 1x2 vehicle with two people walking around the platform.</td> <td>VLP-16</td> <td>960</td> </tr> <tr> <td>Twofloor (no gt)</td> <td>Collected by us (Bowen Yang) in a quadruped robot. A two-floor structure environment with one pedestrian around.</td> <td>Livox-mid 360</td> <td>3305</td> </tr> </tbody> </table> <p> </p> <p>Cite as:</p> <blockquote> <p>@inproceedings{zhang2023benchmark,<br> author={Zhang, Qingwen and Duberg, Daniel and Geng, Ruoyu and Jia, Mingkai and Wang, Lujia and Jensfelt, Patric},<br> booktitle={IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)}, <br> title={A Dynamic Points Removal Benchmark in Point Cloud Maps}, <br> year={2023},<br> pages={608-614},<br> doi={10.1109/ITSC57777.2023.10422094}<br>}<br>@article{jia2024beautymap,<br> author={Jia, Mingkai and Zhang, Qingwen and Yang, Bowen and Wu, Jin and Liu, Ming and Jensfelt, Patric},<br> journal={IEEE Robotics and Automation Letters}, <br> title={{BeautyMap}: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps}, <br> year={2024},<br> volume={9},<br> number={7},<br> pages={6256-6263},<br> doi={10.1109/LRA.2024.3402625}<br>}<br>@article{daniel2024dufomap,<br> author={Duberg, Daniel and Zhang, Qingwen and Jia, Mingkai and Jensfelt, Patric},<br> journal={IEEE Robotics and Automation Letters}, <br> title={{DUFOMap}: Efficient Dynamic Awareness Mapping}, <br> year={2024},<br> volume={9},<br> number={6},<br> pages={5038-5045},<br> doi={10.1109/LRA.2024.3387658}<br>}</p> </blockquote> <p> </p> <p>If you use this data, feel free to add your project to <a href="https://kth-rpl.github.io/DynamicMap_Benchmark/papers/">https://kth-rpl.github.io/DynamicMap_Benchmark/papers/</a></p>
Environmental variables and occurrence points of Solenopsis geminata
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Original point cloud from laser scanning of the Kladno railway station
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Role of Point-of-care lung ultrasound in neonatal lung diseases: a review of current evidences
<p>Point-of-care Lung ultrasound (POC-LUS) as the most widely used POCUS which already developed the guidelines has been applied to diagnosis and differential diagnosis neonatal respiratory distress in NICU for many years</p>
Anacanthotermes ochraceus occurrence points
<p>Anacanthotermes ochraceus occurrence points </p>
Refractivity inversions from point-to-point X-Band radar propagation measurements
<p>Dynamic refractive environments within the marine atmospheric boundary layer (MABL) pose difficulties in the prediction of super high frequency (SHF), specifically X-band, radar wave propagation due to natural phenomena such as evaporation ducts (ED). This study utilizes a unique dataset collected during the CASPER-East field campaign, including multiple refractivity estimation methods and twelve point-to-point (PTP) electromagnetic datasets, to assess the efficacy of PTP inversion techniques for remote sensing of atmospheric refractivity within the MABL. Comparison of refractivity between the inverse and other refractivity methods show reasonable evaporation duct height estimates by the inversion, and inverse-based propagation predictions are also shown to be more accurate than propagation based on other refractivity prediction methods – numerical weather prediction, theory, and <i>in-situ</i> atmospheric measurements. These results propose the effectiveness of a PTP metaheuristic radar inversion to remotely sense refractive environments from radar propagation measurements in stable and unstable atmospheric conditions.</p>
Fatiando a Terra Data: British Columbia, Canada - Lidar point cloud
<p>This is a point cloud sliced to the small <a href="https://apps.gov.bc.ca/pub/bcgnws/names/21973.html">Trail Islands</a> to the North of Vancouver to reduce the data size. The islands have some nice looking topography and their isolated nature creates problems for some interpolation methods, like simple nearest neighbours.</p> <p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p> <p><strong>Changes made: </strong>Cut out a section of the original data to focus only on these small islands; Change UTM coordinates to geodetic latitude and longitude (WGS84); Keep only the ground reflection picks; Export to a compressed CSV for easier loading with Pandas.</p> <p><strong>Source: </strong><a href="https://www2.gov.bc.ca/gov/content/data/geographic-data-services/lidarbc">LidarBC</a></p> <p><strong>Source license: </strong><a href="https://www2.gov.bc.ca/gov/content/data/open-data/open-government-licence-bc">Open Government Licence - British Columbia</a></p> <p><strong>Repository:</strong> <a href="https://github.com/fatiando-data/british-columbia-lidar">https://github.com/fatiando-data/british-columbia-lidar</a></p>
Random Point Sampling (2007-2018) for Three U.S. Cities
<p>A point sampling methodology was employed using imagery available through Google Earth Pro to assess land cover changes in Buffalo, NY, Denver, CO, and San Diego, CA. Analysis began during the Great Recession and concluded in 2018. Point sampling was used to classify land cover using 11 land cover classes. Further, point pattern analysis was employed to determine the existance (or lack thereof) of patterns associated with land cover change in each city. </p>
Dataset for "Exceptional-point-based accelerometers with enhanced signal-to-noise ratio"
<p>Data set supporting the data represented in the article </p>
Terrestrial and aerial photos, GCPs and derived point clouds of a sinkhole in Northern Thuringia
<p>Aiming at comparing the results of using either terrestrial or aerial photos for structure from motion photogrammetry of a sinkhole in Northern Thuringia we took these photos in 2017, 2018 and 2019 and surveyed ground control points. Therefore, the data allows both, the comparison of the results of using terrestrial or aerial photos for the 3D reconstruction, and the mulit-year monitoring of geomorphic changes within the sinkhole.</p>
Technical Debt on Agile Projects: Managers' point of view at Stack Exchange
<p>Technical Debt on Agile Projects: Managers’ point of view at Stack Exchange</p> <p>XXI Simpósio Brasileiro de Qualidade de Software (SBQS '22), Nov 07--10, 2022, 2022, Curitiba, Paraná, Brasil.</p>
Benchmark Repository for Floating-Point Support in KeY
<p>The benchmark repository for the added floating-point support to the KeY deductive verifier</p>
3D-MSNet: A point cloud based deep learning model for untargeted feature detection and quantification in profile LC-HRMS data
<p>Supplementary data of 3D-MSNet</p>
Harmony Point Chinstrap penguin GPS and Time-Depth-Recorder processed data
<p>Tracking data from Chinstrap Penguins (<em>Pygoscelis antarcticus</em>) tracked with axy-trek marine loggers in Harmony Point (Nelson Island, Maritime Antarctic Peninsula) in the breeding seasons of 2019/20 and 2021/22.</p> <p>The zip file is composed of two folders containing outputs from the R script named "GPS_TDR_processing.R", which process raw data from Axy-trek marine loggers producing 3 outputs that are within each of the folders. The outputs are: (1) 5-min resampled foraging trips (with trip ID identified), (2) dive statistics and (3) foraging trip summaries.</p> <p> </p> <p>Each file is named as the TagID, type of data (GPS or TDR), period (IB for late incubation / brooding - from late december to early january; CR for Chick-Rearing, from early to mid January) and season (2019/20 as 19 and 2021/22 as 21).</p> <p> </p> <p>GPS data is composed of the fields: Date (YYYY-mm-dd HH:MM:SS), distances, trip number and geographical coordinates in "+proj=longlat +datum=WGS84 +no_defs".</p> <p>TDR data is composed of outputs from dive statistics summarized using the "diveMove" R package. </p>
Fig. 23 in Dead man's fingers point to new taxa: two new genera of New Zealand soft corals (Anthozoa, Octocorallia) and a revision of Alcyonium aurantiacum Quoy & Gaimard, 1833
Fig. 23. Kotatea niwa gen. et sp. nov., holotype (MAGNT C015226), SEMs of sclerites. A. Base surface. B. Base interior. C. Polyps (in situ).
Software Practitioners' Point of View on Technical Debt Payment (Supporting Material)
<p>The InsighTD data set with answers on technical debt payment. </p>
ScienceDex guides
Understand access before you commit
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.