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2,170 results for “clouds”
Figure 1 from: Maveety S, Browne R, Erwin T (2011) Carabidae diversity along an altitudinal gradient in a Peruvian cloud forest (Coleoptera). ZooKeys 147: 651-666. https://doi.org/10.3897/zookeys.147.2047
Figure 1 - Map of collection sites.
Figure 2 from: César E, Bandala VM, Montoya L, Ramos A (2018) A new Gymnopus species with rhizomorphs and its record as nesting material by birds (Tyrannideae) in the subtropical cloud forest from eastern Mexico. MycoKeys 42: 21-34. https://doi.org/10.3897/mycokeys.42.28894
Figure 2 Gymnopusnidus-avis: basidiomata (César 36, holotype). Scale bar: 4 mm
The integrated properties of the molecular clouds from the JCMT CO(3-2) High Resolution Survey - Cloud integrated property catalog
<p>Catalog of integrated properties of the molecular clouds identified within the JCMT CO(3-2) High Resolution Survey using the SCIMES software (https://github.com/Astroua/SCIMES). The catalog is provided as ASCII (.txt) and astropy.table (.fits) tables. Detailed description of the catalog content can be found in the Table 1 of the associated paper (https://arxiv.org/abs/1812.04688).</p>
Data for "Clouds increasingly influence Arctic sea surface temperatures as CO2 rises" part 2
<p>Data for "Clouds increasingly influence Arctic sea surface temperatures as CO2 rises" submitted to Geophysical Research Letters.</p> <p>Data are included from three fully-coupled CESM2 simulations with variable CO2 concentrations: pre-industrial climate ('control'), 424 ppm CO2 ('yr40'), and 1139 ppm CO2 ('yr140'). Data in all files are restricted to 40-90<sup>o</sup>N. Variables include surface temperature (TS), sea ice concentration (ICEFRAC), CALIPSO total cloud fraction (CLDTOT_CAL), total grid cell cloud liquid water path (TGCLDLWP), sea surface temperature (SST), surface downwelling shortwave radiation (FSDS), surface downwelling longwave radiation (FLDS), surface net shortwave radiation (FSNS), clear-sky surface net shortwave radiation (FSNSC), and clear-sky surface downwelling longwave radiation (FLDSC).</p>
Static-Analysis-Based Solutions to Security Challenges in Cloud-Native Systems: Systematic Mapping Study
<p>It Contains data for the following search query</p> <p> </p> <p>( security OR attack OR compromise OR vulnerability )<br> AND<br> defense OR prevention<br> AND<br> microservice OR cloud native<br> AND<br> static analysis</p>
Particle Number Size Distribution of Wintertime Alpine Aerosols and Their Activation as Cloud Condensation Nuclei in the Guanzhong Plain, Northwest China
<p>This is the drawing data of manuscript entitled 'Characteristics of Particle Number Size Distribution of Alpine Aerosols on Mt. Hua and Their Activation as Cloud Condensation Nuclei.</p>
WHUS2-CRv a global thin cloud removal dataset for Sentinel-2 images——Validation and testing parts
<p>The validation and testing parts of WHUS2-CRv dataset in which the paired cloud and cloud-free Sentinel-2 images are from different regions of the world. The types of land cover are rich and the acquisition dates of the experimental data cover a long time period (from 2015 to 2020) and all seasons.</p> <p>If you use this dataset for your research, please cite us accordingly:</p> <p>#Reference: </p> <p>[1]J. Li, Z. W, Z. Hu, J. Z, M. Li, L. Mo and M. Molinier, “Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion,” ISPRS J. Photogramm. Remote Sens., vol. 166, pp. 373-389, Aug. 2020,http://doi.org/10.1016/j.isprsjprs.2020.06.021.</p> <p>[2]J. Li, Z. Wu, Z. Hu, Z. Li, Y. Wang, and M. Molinier, “Deep learning based thin cloud removal fusing vegetation red edge and short wave infrared spectral information for Sentinel-2A imagery,” Remote Sens., vol. 13, no. 1, p. 157, Jan. 2021, http://doi.org/10.3390/rs13010157.</p> <p>[3]J. Li, Y. Zhang, Q. Sheng, Z. Wu, B. Wang, Z. Hu, G. Shen, M. Schmitt, M. Molinier, “Thin Cloud Removal Fusing Full Spectral and Spatial Features for Sentinel-2 Imagery,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 8759-8775, 2022, doi: 10.1109/JSTARS.2022.3211857.</p>
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation
<p>A highly granular calorimeter, similar to CALICE is simulated in Geant4. The calorimeters showers are represented as either images or point clouds. Two state-of-the-art score based diffusion models, on image based and the other point cloud based, are trained on the same set of calorimeter simulations and directly compared to each other.<br> <br> These files include the original Geant4 simulation, an intermediate form of the data required for training, and the samples generated by the image and point cloud models.</p>
Cloud-resolving simulations with radiative transfer at reduced spectral resolution
<p>Data and scripts belonging to the paper titled "The impact of radiative transfer at reduced spectral resolution in cloud-resolving models", submitted to the Journal of Advances in Modeling Earth Systems.</p>
Cloud-CCI+ SEVIRI CRE case study dataset
<p>A dataset of tracked DCC cores and anvils over sub-Saharan Africa (approximately 18°W-46°E, 31°S-15°N) for four months (May 2016 to August 2016). The dataset tracks the cloud properties and their cloud radiative effect over the lifetime of each DCC.</p> <p>The files contained within <em>seviri_labels_* </em>contain daily data of tracked DCCs on the SEVIRI grid with spatial masks corresponding to each detected anvil and core at each time step.</p> <p>The files contained within <em>seviri_statistics</em> contain the properties of each DCC core and anvil at each timestep along their lifetime. Each file contains all DCCs tracked within one month.</p> <p>This dataset accompanies the article <em>"A Lagrangian Perspective on the Lifecycle and Cloud Radiative Effect of Deep Convective Clouds Over Africa" </em>by William k. Jones, Martin Stengel and Philip Stier, which is to be submitted to ACP</p>
cloud removal dataset
<p>This dataset was released by the Key Laboratory of Wuhan University in China and is used to remove cloud shadows from remote sensing images. This data set is a Landsat 8 data set for cloud detection and removal, including multi-temporal optical remote sensing images, SAR images, cloud shadow pollution images, and mask images. The entire dataset includes six different regions covering different land types such as forests, cities, oceans, lakes and mountains. This data set is reproduced on the WHU-Dataset official website. The official download website is: http://gpcv.whu.edu.cn/data/.</p>
Data set for: Efficient and Stable Coupling of the SuperdropNet Deep Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5)
<p>This dataset provides the experiment results for the publication " Efficient and Stable Coupling of the SuperdropNet Deep<br> Learning-based Cloud Microphysics (v0.1.0) to the ICON Climate and Weather Model (v2.6.5) ", to be submitted.</p>
Point cloud Santa Maria de Vilagrassa Frieze
Nube de puntos Friso Santa Maria de Vilagrassa (Catalonia) - 13th century It is of Romanesque origin. The cover of the second half of 13th c., School of Lleida. In the medieval church remains the only Romanesque portal. This building already existed in the Visigothic period, was later refurbished and mixing with different styles. The square bell tower is the transition from Romanesque to Gothic, offers a particular perspective to their manifest inclination. Ever have called the Leaning Tower of Urgell." The year 1976 was declared a Cultural Asset of National Interest (BCIN) integrated into the artistic whole." 2020: Santa Maria de Vilagrassa - Photogrammetry - Terrestrial , Data Derivatives . Collected by Calidos . Distributed by Open Heritage 3D. https://doi.org/10.26301/37v3-j883 Source: Objaverse 1.0 / Sketchfab
Tyrannosaurus Rex - AMNH [Point Cloud]
"The 4-foot-long jaw, the 6-inch-long teeth, the massive thigh bones—almost everything about Tyrannosaurus rex indicates the enormous power of one of the largest theropod dinosaurs that ever existed. The fossil was originally arranged so that the dinosaur stood upright. Museum scientists later determined that it was more accurate to show the Tyrannosaurus rex mounted in a stalking position, with its head low, tail extended, and one foot slightly raised." ~ https://www.amnh.org/exhibitions/permanent-exhibitions/fossil-halls/hall-of-saurischian-dinosaurs/tyrannosaurus-rex Source: Objaverse 1.0 / Sketchfab
Amphoriskos - Raw Point Cloud
The pointcloud direct fromPython Photogrammetry Toolktit. pt 1 of post-processing. Source: Objaverse 1.0 / Sketchfab
Veloso Cave - 3D reconstruction v1 (point cloud)
This an initial 3D reconstruction of the Veloso Mine in Ouro Preto - Minas Gerais in Brasil. This reconstruction was performed with LiDar odometry and RGBD câmeras, using the Espeleorobô ver. II from the Instituto Tecnológico Vale (ITV). Source: Objaverse 1.0 / Sketchfab
Swahili Staff - point cloud
Top section of a 19th or 20th-century Swahili staff, now in the collection of the Minneapolis Institute of Art. This point cloud version was inspired by Sketchfab's #plantpointschallenge contest, but it's not a contest entry. More information about the object here: https://collections.artsmia.org/art/12117/staff-swahili The mesh version of this object is here on Sketchfab: https://skfb.ly/6qEvt Source: Objaverse 1.0 / Sketchfab
Point Cloud, Martha's Screen, Rosedown
A 3D scan of Martha's Screen at Rosedown Plantation in St. Francisville, Louisiana, USA as part of a project to document the house, landscape, and artifacts. **Artifact: **Martha's Screen **Location:** Rosedown Plantation, St. Francisville, Louisiana, USA **Team:** Brendan Harmon & Nicholas Serrano **Camera:** Nikon 5600 **Software:** Agisoft Metashape Source: Objaverse 1.0 / Sketchfab
Guayabo - Cloud
Montículo central del Monumento Nacional Guayabo, Turrialba, Costa Rica. Escaneado con estación lídar terrestre Leica C10, en el mes de junio del año 2011, por funcionarios del LanammeUCR. Source: Objaverse 1.0 / Sketchfab
Point Cloud-Medieval Hermitage of Oreto-Zuqueca
This point cloud of the medieval Hermitage of Nuestra Señora de Oreto-Zuqueca in Granátula de Calatrava (Ciudad Real, Spain) was collected using three FARO Focus3D scanners in 2017. The roof has been purposefully removed from the point cloud. The hermitage sits on one of the most important archaeological sites in Castilla-La Mancha region with occupations in Iberian, Roman, Visigothic and Islamic times. This settlement controlled the passage over the Jabalón River for centuries. The current hermitage was built in the 13th century, some years after the victory of the Christian troops in the battle of Las Navas de Tolosa in 1212. It was built with complete safety on the remains of a previous church. For its construction, a large number of stones from the site that extends under its feet were reused. Among these stones, the reuse of decorated pieces from the Visigothic period that can be seen today on its walls is especially significant. Source: Objaverse 1.0 / Sketchfab
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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.