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4,107 results for “pointing”
Data for the "Deforestation could push Amazonia close to a tipping point under future climate change." paper
<p>Matlab datafiles for the output of the HYBRID-ICBL <span>coupled land surface-atmosphere single column model presented in the "Deforestation could push Amazonia close to a tipping point under future climate change"</span></p> <p><span>Values are daily mean values and their names are self explanatory as follows.</span></p>
The Syris Dataset of Risk and Difficulty Points in Hiking Routes
<p>The popularity of hiking has steadily increased in the latest years, across different segments of the population. <br> Although there is considerable evidence of the benefits for hikers regarding physical and mental health, the inherent risks of these outdoor activities cannot be underestimated. Accident prevention and an increase of awareness about possible risks are necessary to minimize hiking and pedestrian tourism's negative consequences. <br> In most hiking information maps and interactive applications, there is usually not enough information about difficulty points or the granularity level required to provide tailored recommendations to hikers with physical or psychological limitations.<br> This open dataset documents the information acquired in the Syris project, a geo-information system for hiking itineraries that incorporates Points-Of-Difficulty to assess the level of effort, technique, and risk of hiking trails. This dataset is a pioneering effort to offer comprehensive information about detailed difficulty and effort levels in hiking paths at Val d'Anniviers in Switzerland, with the long term goal of expanding the database to the rest of the country.</p>
AssemblyNetV2: A Dataset for Predicting Exploded Views Through Point Clouds
<p>AssemblyNetV2 contains two datasets: the original AssemblyNet dataset, resampled with face normals, and a novel dataset for predicting whether parts can be disassembled, also containing both points and normals. The original AssemblyNet dataset contains 5420 samples while the new dataset contains 16337 samples of 512-point and 1024-point point clouds of mixed industrial assemblies and LEGO models.</p> <p>The new dataset for part removal contains annotations for binary classification of whether a part can be removed from an assembly. The intended use case of the two datasets is to predict exploded views of assemblies by iteratively removing parts in the predicted directions.</p>
3D Point Clouds of Trees and Apple Fruit Annotated with Thermal Data
<p>The data set captures four measurements during fruit growth: 06/28/2022 (15:00), 07/12/2022 (15:00), 09/01/2022 (15:00), 09/06/2022 (13:00)</p> <p>Additionally, diurnal courses are provided for three days: </p> <table> <tbody> <tr> <td> <p>Date</p> </td> <td> <p>Time</p> </td> </tr> <tr> <td> <p>09/21</p> </td> <td> <p>07:00, 08:00, 10:00, 12:00, 13:00, 18:00</p> </td> </tr> <tr> <td> <p>09/22</p> </td> <td> <p>07:00, 08:00, 10:00, 12:00, 13:00, 18:00</p> </td> </tr> <tr> <td> <p>10/05</p> </td> <td> <p>06:30, 07:00, 09:00, 10:00, 11:00, 16:00</p> </td> </tr> </tbody> </table> <p> </p> <p>The data set was measured in Blocks (A-D) of trees (T) on apple (A) fruit and is stored as compressed zip files, capturing raw, preprocessed, and manually recorded reference (ground truth) data.</p> <p>1. zip files entitled Raw_YYYY_MM_DD_Block[A-C]-[R, L] for seasonal data and Raw_YYYY_MM_DD_BlockD-[R, L]_Hour__:__ for diel data</p> <p>- raw data of LiDAR 3D point clouds - txt files</p> <p>- raw image data by thermal camera - txt files</p> <p>2. zip files entitled YYYY_MM_DD or DailyAcquisitions:</p> <p>- preprocessed (merged) sensor data of temperature-annotated 3D point clouds of canopies - csv files</p> <p>- preprocessed data, capturing manually segmented point clouds of temperature-annotated fruit - txt files</p> <p>3. Microsoft Excel files entitled References and Weather data:</p> <p>- raw data, representing reference data of fruit - xlsx file</p> <p>- raw data of weather conditions - xlsx file</p>
Figure S1: Nutrient concentration of lettuce (Lactuca sativa 'Rex') plants grown at different total incident light levels in deep water culture hydroponics. Lines show multiple regression analysis results, indicating no significant interactions. Each data point represents one plant. N = nitrogen, P = phosphorus, K = potassium, Ca = calcium, Mg = magnesium, S = sulfur, B = boron, Cu = copper, Fe = iron, Mn = manganese, and Zn = zinc.
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Visualization of bipolar lightning discharge development revealing the reversal point dynamics
<p><span>This repository contains two video files corresponding to model realizations reported in the paper (for the cases of an upward and a downward positive leader) along with their textual description. </span></p>
Final point cloud results of DAR-MVSNet on DTU dataset
<p>DAR-MVSNet在DTU数据集上的最终点云结果。</p>
Final point cloud results of DAR-MVSNet on BlendedMVS dataset
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Final point cloud results of DAR-MVSNet on Tanks and Temples benchmark
<p>Final point cloud results of DAR-MVSNet on Tanks and Temples benchmark.</p>
Supplementary Material : Antimicrobial Resistance and Faecal Sterols in Marine Sediments: An Evidence of AMR away from point sources - Kuwait's Example
<p>Supplementary data for <strong><span>Antimicrobial Resistance and Faecal Sterols in Marine Sediments: An Evidence of AMR away from point sources - <span> </span>Kuwait’s Example</span></strong></p>
Representative data accompanying the manuscript: Four-dimensional quantitative analysis of cell plate development in Arabidopsis using lattice light sheet microscopy identifies robust transition points between growth phases
<p>Representative data accompanying the manuscript: Sinclair R, Wang M, Jawaid MZ, Longkumer T, Aaron J, Rossetti B, Wait E, McDonald K, Cox D, Heddleston J, Wilkop T, Drakakaki G. (2024). <em>Four-dimensional quantitative analysis of cell plate development in Arabidopsis using lattice light sheet microscopy identifies robust transition points between growth phases.</em> J Exp Bot. 2024 Mar 4: erae091. doi: 10.1093/jxb/erae091.</p> <p>The data show YFP–RABA2a dynamics in dividing cells of Arabidopsis root tips using lattice light sheet microscopy. Treatments with or without Endosidin 7, a cytokinesis-specific callose deposition inhibitor, are shown.</p> <p>Data: </p> <p>22.3 YFP-RABA2A. </p> <p>23.9 YFP-RABA2A ES7 </p>
Point clouds and QSM for 598 individually scanned tree branches to support "Terrestrial laser scanning to reconstruct branch architecture from harvested branches"
<p>A collection of 598 harvested branches scanned in high resolution using terrestrial LiDAR. Branches were collected from GEM forest plots in Malaysia, Australia and Brazil.</p> <p>Branch nomenclature is <em>PLOT</em>-<em>TREE</em>-B<em>N</em><S or SH> where <em>PLOT </em>codes can be found in the manuscript, <em>N</em> refers to the sample number of branch harvested from a tree, and S and SH refer to sun or shade branch respectivetly.</p> <p>For each branch there are 3 files: </p> <ul> <li>Unfiltered point clouds (raw_pc) are clipped from the original data only and have had no post processing applied</li> <li>Filtered point clouds (filtered_pc) have been filtered according to the steps in the manuscript</li> <li>QSMs were produced using <em>treegraph </em>(<a href="https://doi.org/10.5281/zenodo.5226212">https://doi.org/10.5281/zenodo.5226212</a>)</li> </ul> <p>Polygon File Format (.ply) files can be viewed in software such as CloudCompare.</p> <p>Full details of methods can be found in: Wilkes, P., Shenkin, A., Disney, M., Malhi, Y., Bentley, L. P., & Vicari, M. B. (2021). Terrestrial laser scanning to reconstruct branch architecture from harvested branches. <em>Methods in Ecology and Evolution</em>, 12, 2487–2500. <a href="https://doi.org/10.1111/2041-210X.13709">https://doi.org/10.1111/2041-210X.13709</a></p>
Points_Data_Set
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Environmental variables and occurrence points of Solenopsis geminata
<p>Occurrence points of Solenopsis geminata was obtained from GBIF which is global database website. </p> <p>Optimal data was constructed by spatial filtering and removing duplicate coordinates.</p> <p>Environmental variables (bio1~19) was obtained from Worldclim.</p> <p>Optimal variables was selected by considering correlation analysis and species characteristics. </p>
Tree point cloud dataset
<p>This dataset includes real point cloud data and synthetic datasets. The real point cloud data includes 13 plum trees; there are two types of synthetic datasets, including complex and simple structure data.</p> <table> <tbody> <tr> <td>BPs (Output)</td> <td>The branch point pairs of the broken skeletons reconnected in the storage experiment</td> </tr> <tr> <td>CMSBs (Output)</td> <td>The final skeleton obtained by experimental completion</td> </tr> <tr> <td>Input_pcd (Intput)</td> <td>Point cloud data</td> </tr> <tr> <td>MB_pcd (Output)</td> <td>Synthetic datasets are unique, simulating missing point clouds</td> </tr> <tr> <td>MSBs (Output)</td> <td>Extracted discontinuous skeleton</td> </tr> <tr> <td>skeleton (Output)</td> <td>Synthetic datasets are unique, complete skeletons extracted from the complete point cloud data</td> </tr> </tbody> </table>
Critical point and critical opalescence
<p><strong>Critical Opalescence</strong> <a title="(https://en.wikipedia.org/wiki/Critical_opalescence)" href="https://en.wikipedia.org/wiki/Critical_opalescence" target="_blank" rel="noopener">https://en.wikipedia.org/wiki/Critical_opalescence</a> is one of the most fascinating natural phenomena you might ever observe. It occurs when a system, usually transparent and stable (like water), becomes milky and turbulent at a specific condition known as the <strong>critical point</strong>.(<a href="https://en.wikipedia.org/wiki/Critical_point_(thermodynamics)" target="_blank" rel="noopener">https://en.wikipedia.org/wiki/Critical_point_(thermodynamics)</a>)</p> <p>Every real substance has a critical point, defined by a critical temperature and pressure, where the properties of liquid and vapor phases, such as density and specific volume, become identical. Above the critical temperature, no substance can be boiled or condensed by changing the pressure, and the same applies to temperature changes above the critical pressure.</p> <p>At the critical point, the liquid-vapor transition line ends, and beyond this point, the distinct liquid and vapor phases no longer exist. Instead, we refer to the substance as a "gas," "permanent gas," or "fluid."</p> <p>In an experiment, a system in a fluid state (above the critical point) and at its critical volume is slowly cooled. At frame 17:20 (00:37), critical opalescence is clearly visible as the liquid-vapor interface forms. The system becomes milky as liquid droplets and vapor bubbles, with similar densities, appear and scatter light. This scattering makes the system look milky (reflected light) while the camera shows it as dark (transmitted light), almost opaque. Heavier liquid droplets then fall due to gravity, while lighter vapor bubbles rise.</p> <p>You can observe the formation of the meniscus, the interface between the liquid and vapor phases, which highlights the difference in their refractive indices. Around 18:21 (01:38), the system is heated again, approaching the critical point from below. The meniscus becomes less distinct as the refractive indices of the phases become more similar. Critical opalescence is not observed during heating because the heating rate is faster than the cooling rate, and the system spends less time near the critical point. Additionally, the heating was less uniform due to the use of hot water, creating a temperature gradient in the chamber.</p> <p><strong>Credits:</strong> The experimental setup is based on Leybold Physics Leaflets P2.4.3.1 Heat. Phase Transitions. Critical Temperature. The substance used is a freon with a critical temperature of about 80°C, and the chamber was placed upside down with water entering and exiting from the top.</p> <p>The video was recorded by the Secretariado de Recursos Audiovisuales y Nuevas Tecnologías de la Universidad de Sevilla.</p> <p> </p>
Dataset for manuscript titled "Metal-like ductility and high hardness in nitrogen-rich HfN thin films by point defect superstructuring"
<p>Experimental data for support of claims in the paper. </p>
Thirty-six consecutive months of bird point count data from twenty count sites in a Mexican wetland
<p>This data comprises point count abundance values for birds recorded over 36 consecutive months at 20 point count sites in a coastal lagoon in Oaxaca, southwest Mexico (15°49′26″ N–56 96°34′53″ W). Twenty-four months of point counts were done prior to Hurricane Carlotta (June 2010 to May 2012) and 12 months post-hurricane (June 2012 to May 2013).</p>
Tipping points and multiple drivers in changing aquatic ecosystems: A review of experimental studies (Data)
<p>The ecological concepts of tipping points and multiple stressors are both important concepts for the management of natural ecosystems. However, very few studies have attempted to combined both concepts and evaluate tipping points in the context of multiple stressors. The data available here have been published in a literature review (Limnology & Oceanography). In this review we (1) develop a historical and current perspective of tipping point studies in terrestrial, freshwater and marine ecological systems; (2) portray the research effort in different freshwater and marine habitats; and (3) explore the results of experimental studies focusing on tipping points measured at the individual, communities, ecosystem level, as well as ecosystem functions and services in a context of single and multiples stressors.</p>
Miniature iron-carbon eutectic point crucible for the calibration of thermometers
<p>The article presents the design, construction and evaluation of a miniature graphite iron-carbon eutectic point crucible for the calibration of thermometers. These are either contact such as thermocouples or non-contact such as infrared thermometers. The double wall of the crucible protects its structure in case of cracks in graphite that can appear due to thermal expansion or eutectic adhesion. Such design proved robust – even after almost 100 melting realizations, the crucible does not show significant signs of damage. Performance of the crucible was confirmed with several realized plateaus at three different furnace setpoints. Results of these measurements agree with previously published findings. The measured melting point temperature was 1153.81 °C and the achieved expanded calibration uncertainty of a type R thermocouple was 0.2 °C.</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.