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2,170 results for “clouds”
Mapping scrub vegetation cover from photogrammetric point-clouds
<p>This dataset is derived from photogrammetric point cloud models of UAV imagery. It includes the Above ground models of vegetation as well as the isolated scrub vegetation.</p> <p>We illustrate the method with two case studies from the UK. The scrub cover at Daneway Banks, a calcareous grassland site in Gloucestershire was calculated at 21.8% of the site. The scrub cover at Flat Holm Island, a maritime grassland in the Severn Estuary was calculated at 7%. This approach enabled the scrub layer to be readily measured and if required, modelled to provide a visual guide of what a projected management objective would look like. This approach provides a new tool in reserve management, enabling habitat management strategies to be informed, and progress towards objectives monitored.</p>
Leads without swirly cloud
<p>Same as other link but the big set of pixels in the top left are removed. </p>
FIGURE 9 in A new species of planthopper in the genus Myconus (Hemiptera: Auchenorrhyncha: Fulgoroidea: Achilidae) from the Los Angeles Cloud Forest, Costa Rica
FIGURE 9. Adult male Myconus from Wolda collection at Smithsonian Tropical Research Institute, Panama, reported as Myconus uniformis by Wolda (1980).
FIGURE 6 in A new species of planthopper in the genus Myconus (Hemiptera: Auchenorrhyncha: Fulgoroidea: Achilidae) from the Los Angeles Cloud Forest, Costa Rica
FIGURE 6. Male terminalia Myconus jacquelinae sp. n.; A) lateral view, B) ventral view, and C) dorsal view.
FIGURE 7 in A new species of planthopper in the genus Myconus (Hemiptera: Auchenorrhyncha: Fulgoroidea: Achilidae) from the Los Angeles Cloud Forest, Costa Rica
FIGURE 7. Aedeagus of Myconus jacquelinae sp. n.; A) left lateral view, B) right lateral view, and C) dorsal view.
FIGURE 4 in A new species of planthopper in the genus Myconus (Hemiptera: Auchenorrhyncha: Fulgoroidea: Achilidae) from the Los Angeles Cloud Forest, Costa Rica
FIGURE 4. Adult male Myconus jacquelinae sp. n. forewing venation; black = vein, italics = crossvein, green = cell,? = spurious vein.
FIGURE 3 in A new species of planthopper in the genus Myconus (Hemiptera: Auchenorrhyncha: Fulgoroidea: Achilidae) from the Los Angeles Cloud Forest, Costa Rica
FIGURE 3. Adult male Myconus jacquelinae sp. n.; A) head frontal view, B) head, pronotum, and mesonotum dorsal view, and C) head, pronotum and mesonotum lateral view, scale = 1mm.
FIGURE 2 in A new species of planthopper in the genus Myconus (Hemiptera: Auchenorrhyncha: Fulgoroidea: Achilidae) from the Los Angeles Cloud Forest, Costa Rica
FIGURE 2. Adult male habitus Myconus jacquelinae sp. n.; A) body lateral view and B) body dorsal view, scale = 1mm.
FIGURE 10 in A new species of planthopper in the genus Myconus (Hemiptera: Auchenorrhyncha: Fulgoroidea: Achilidae) from the Los Angeles Cloud Forest, Costa Rica
FIGURE 10. Holotype of Myconus conspersinervis, A) dorsal view, B) ventral view, C) lateral view, and D) frontral view.
Cross-correlation coefficient maps generated in the paper "Correlation of Venusian Mesoscale Cloud Morphology Between Images Acquired at Various Wavelengths" by Narita et al. published in Journal of Geophysical Research - Planets
<p>This data archive contains the cross-correlation coefficient maps. Unzipping the compressed file, the following directories corresponding to different wavelength pairs appear. </p> <p> IR1_IR2/ : 0.9 micron & 2.02 micron<br> UVI283_UVI365/ : 283 nm & 365 nm<br> IR2_UVI365/ : 2.02 micron &. 365 nm<br> IR2_UVI283/ : 2.02 micron & 283 nm<br> IR2_LIR/ : 2.02 micron & 10 micron</p> <p>If usual unzip tools do not work, the use of 7zip is recommended:<br> https://www.7-zip.org/download.html</p> <p>Each directory contains CSV files for the longitude-latitude distribution of the correlation coefficient. The 2880 longitude grids cover the longitude range of 0 - 360 degrees, and the 1440 latitude grids cover the latitude range of -90 - +90 degrees, with a pixel resolution of 0.125 degree/pixel. Invalid regions are filled with the value of 1.1.</p> <p>Each filename is composed of the date, the instrument (wavelength), and the time. For example, for the file "20160720_ir2_150821_hp6_IR1_150209_hp6_sb24.csv":</p> <p> 20160720 : July 20, 2016<br> ir2 : 2.02 micron filter of IR2 camera<br> 150821 : IR2 exposure at 15:08:21<br> hp6: High-pass filtering size is 6 deg x 6 deg<br> IR1 : 0.9 micron filter of IR1 camera<br> 150209 : IR1 exposure at 15:02:09<br> sb24 : Sliding box size is 24 deg x 24 deg</p>
Distribution. It ranges through temperate zone forests and paramos from the Cordillera Central in C Colombia through the Cordillera Oriental of Ecuador to the eastern Andean cloud forests in Peru, southward to Junin department. The exact range is unknown and there are obvious distributional gaps. One major natural gap is the dry forest south of the Huancabamba depression, which separates the northern population from the main Peruvian population. in Cervidae
Distribution. It ranges through temperate zone forests and paramos from the Cordillera Central in C Colombia through the Cordillera Oriental of Ecuador to the eastern Andean cloud forests in Peru, southward to Junin department. The exact range is unknown and there are obvious distributional gaps. One major natural gap is the dry forest south of the Huancabamba depression, which separates the northern population from the main Peruvian population.
Simulation data for the article "On the Effect of the Large Magellanic Cloud on the Orbital Poles of Milky Way Satellite Galaxies"
<p>This archive contains the data shared in the context of the "On the Effect of the Large Magellanic Cloud on the Orbital Poles of Milky Way Satellite Galaxies" article.</p> <p>In particular, it contains the initial conditions and final snapshots of our N-body simulation.</p>
The input files and processed output data for the OSSEs using particle filter for the forecast of cloud and precipitation
<p>DART_input.tar.gz contains the input files for the DART system for the control run, Exp-1 ~ Exp-5.</p> <p>WRF&WRS_namelist.tar.gz contains the input namelist files for the WPS and WRF model for the nature run, the control run, and Exp-1 ~ Exp-5.</p> <p>cloud_data.tar.gz contains the procssed output data for the WRF/DART system corresponding to the nature run, the control run, and Exp-1 ~ Exp-5. Untarring the file will generate several subdirectories named after the UTC time. For example, 202008200200 denotes the results for at 02:00 UTC, 20 August, 2020. Because the data for all times are quite large (~10G), we only uploaded the data at 02:00 UTC, 20 August, 2020, 10:30 UTC, 20 August, 2020, 19:00 UTC, 20 August, 2020, 03:30 UTC, 21 August, 2020, and 12:00 UTC, 21 August, 2020. Each subdirectory contains preassim_mean.nc and postassim_mean.nc, which mean the posterior and prior estimate of atmosphere state variables and other processed variables. Either preassim_mean.nc or postassim_mean.nc contains the cloud water path (CWP, unit:kgm-2), cloud water content (CWC, which is the sum of the mixing ratio of six cloud hydrometeors, unit: kgkg-1), RE_CLOUD(unit:um), RE_ICE(unit:um), QVAPOR(unit:kgkg-1), T(the perturbation of potential temperature, unit:K).</p> <p>rain_rate.tar.gz contains the procssed output data for the rain rate corresponding to the nature run, the control run, and Exp-4 ~ Exp-5.</p>
Impact of Cloud Process in the Mixing State and Microphysical Properties of Soot Particles: Implications in Light Absorption Enhancement
<p>The data of paper of "Impact of Cloud Process in the Mixing State and Microphysical Properties of Soot Particles: Implications in Light Absorption Enhancement".</p>
Model data and namelists for Sterzinger et al. (2022) - "Do arctic mixed-phase clouds sometimes dissipate due to insufficient aerosol? Evidence from comparisons between observations and idealized simulations"
<p>Model data and namelists for "<a href="https://acp.copernicus.org/preprints/acp-2022-36/">Do arctic mixed-phase clouds sometimes dissipate due to insufficient aerosol? Evidence from comparisons between observations and idealized simulations</a>"</p> <p>Horizontally averaged data is provided in NetCDF4 files (oliktok.nc, ascos.nc, summit.nc) for all output variables. Horizontally averaged vertical momentum flux is provided in a separate file for each simulation (*_vert_momentum_flux.nc files).</p> <p>Info on variables is provided by the RAMS model variable guide PDF <a href="https://vandenheever.atmos.colostate.edu/vdhpage/rams/docs/RAMS-VariableList.pdf">available here</a>.</p> <p>Model namelists are provided for each simulation (*_RAMSIN files). ASCOS initialization sounding info is provided within the ASCOS_RAMSIN file - initialization soundings are provided in SOUND_IN files.</p>
TRX cloud mining
<p>TRON is a blockchain-based operating system that intends to end up being a global decentralized network. It uses a collection of methods for developers to build decentralized applications (dApps) on its platform. dApps on the TRON network offer individuals access to decentralized data gaming, storage space, and also computer.</p>
FIGURE 3 in Oberonia mahaeliyensis (Orchidaceae: Epidendroideae: Malaxideae), a new species from montane cloud forest of Sri Lanka
FIGURE 3. Vegetation of the type location in Horton Plains National Park (note the die-back stems). Photograph by Champika Bandara.
On following pages: 3. Mexican Spiny Pocket Mouse (Heteromysirroratus); 4. Jaliscan Spiny Pocket Mouse (Heteromys spectabilis); 5. Painted Spiny Pocket Mouse (Heteromys pictus); 6. Nelson's Spiny Pocket Mouse (Heteromys nelsoni); 7. Trinidad Spiny Pocket Mouse (Heteromys anomalus); 8. Overlook Spiny Pocket Mouse (Heteromys catopterius); 9. Paraguana Spiny Pocket Mouse (Heteromys oasicus); 10. Southern Spiny Pocket Mouse (Heteromys australis); 11. Ecuadorean Spiny Pocket Mouse (Heteromys teleus); 12. Gaumer''s Spiny Pocket Mouse (Heteromys gaumeri); 13. Desmarest's Spiny Pocket Mouse (Heteromys desmarestianus); 14. Goldman's Spiny Pocket Mouse (Heteromys goldmani); 15. Cloud-dwelling Spiny Pocket Mouse (Heteromys nubicolens); 16. Mountain Spiny Pocket Mouse (Heteromys oresterus). in Heteromyidae
On following pages: 3. Mexican Spiny Pocket Mouse (Heteromysirroratus); 4. Jaliscan Spiny Pocket Mouse (Heteromys spectabilis); 5. Painted Spiny Pocket Mouse (Heteromys pictus); 6. Nelson's Spiny Pocket Mouse (Heteromys nelsoni); 7. Trinidad Spiny Pocket Mouse (Heteromys anomalus); 8. Overlook Spiny Pocket Mouse (Heteromys catopterius); 9. Paraguana Spiny Pocket Mouse (Heteromys oasicus); 10. Southern Spiny Pocket Mouse (Heteromys australis); 11. Ecuadorean Spiny Pocket Mouse (Heteromys teleus); 12. Gaumer''s Spiny Pocket Mouse (Heteromys gaumeri); 13. Desmarest's Spiny Pocket Mouse (Heteromys desmarestianus); 14. Goldman's Spiny Pocket Mouse (Heteromys goldmani); 15. Cloud-dwelling Spiny Pocket Mouse (Heteromys nubicolens); 16. Mountain Spiny Pocket Mouse (Heteromys oresterus).
FIGURE 9 in One more and one less: a new species of large bromelicolous lizard (Gymnophthalmidae: Anadia) from the Andean cloud forests of northwestern Colombia and the phylogenetic status of Anadia antioquensis
FIGURE 9. Among species and among groups variation in the range of selected meristic and quantitative traits of Anadia species from the eastern and western groups. Note that A. antioquensis, grouped together with the eastern species, is reassigned in this study to the genus Riama.
FIGURE 8 in One more and one less: a new species of large bromelicolous lizard (Gymnophthalmidae: Anadia) from the Andean cloud forests of northwestern Colombia and the phylogenetic status of Anadia antioquensis
FIGURE 8. Known altitudinal distribution of the western and eastern groups of Anadia species in northwestern South America. Note that A. antioquensis, grouped together with the eastern species, is reassigned in this study to the genus Riama.
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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.