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2,170 results for “clouds”

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zenodo28/100

Instructional Video: Metashape - Build Dense Cloud, Mesh, and Texture

<p><a href="https://www.youtube.com/watch?v=Obj45jVQr1U&amp;feature=youtu.be">https://www.youtube.com/watch?v=Obj45jVQr1U&amp;feature=youtu.be</a></p>

opencc-by-4.0Jun 2020View details →
zenodo28/100

Improved representation of clouds in the atmospheric component LMDZ6A of the IPSL Earth system model IPSL-CM6A : Source codes and supporting files

<p>Source codes and supporting files of the paper by J-B Madeleine et al., 2020, entitled &quot;Improved representation of clouds in the atmospheric component LMDZ6A of the IPSL Earth system model IPSL-CM6A&quot; published in the Journal of Advances in Modeling Earth Systems. See the README file for more information.</p>

opencc-by-4.0Jul 2020View details →
zenodo28/100

Data associated with the publication titled The impact of resolving sub-kilometer processes on aerosol-cloud interactions in global model simulations

<p>Datasets and scripts that are used in the journal article The impact of resolving sub-kilometer processes on aerosol-cloud interactions in global model simulations</p>

opencc-by-4.0Sep 2020View details →
zenodo28/100

Hathi: An MCDM-based Approach for the Capacity Planning of Cloud-hosted DBMS — Data Sets

<p>These data sets provide supplemental material for the paper &quot;Hathi: An MCDM-based Approach for<br> the Capacity Planning of Cloud-hosted DBMS&quot; submitted to the 13th IEEE/ACM International<br> Conference on Utility and Cloud Computing.</p>

openapache2.0Aug 2020View details →
zenodo28/100

Data for "Influence of Arctic microlayers and algal cultures on sea spray hygroscopicity and the possible implications for mixed-phase clouds"

<p>Dataset and data analysis for the paper on &quot;Influence of Arctic microlayers and algal cultures on sea spray hygroscopicity and the possible implications for mixed-phase clouds&quot; published in&nbsp;<em>Journal of Geophysical Research: Atmospheres.&nbsp;</em></p> <p>The folder &quot;CCN data analysis&quot; contains the measured raw and processed CCN data, data analysis and presentation of the data (Figure 2-4).&nbsp;<br> The fold &quot;Modelling&quot; gives the post-processed model output used for producing&nbsp;figures 5-10.&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Aug 2020View details →
zenodo28/100

Supplementary material 3 from: Acosta-Galvis AR, Saldarriaga-Gómez AM, Ramírez B, Vargas-Ramírez M (2020) A new Terrarana frog of genus Pristimantis from an unexplored cloud forest from the eastern Andes, Colombia. ZooKeys 961: 129-156. https://doi.org/10.3897/zookeys.961.51971

Figure S2

opencc-zeroAug 2020View details →
zenodo28/100

Supplementary material 2 from: Acosta-Galvis AR, Saldarriaga-Gómez AM, Ramírez B, Vargas-Ramírez M (2020) A new Terrarana frog of genus Pristimantis from an unexplored cloud forest from the eastern Andes, Colombia. ZooKeys 961: 129-156. https://doi.org/10.3897/zookeys.961.51971

Figure S1

opencc-zeroAug 2020View details →
zenodo28/100

Figure 7 from: Acosta-Galvis AR, Saldarriaga-Gómez AM, Ramírez B, Vargas-Ramírez M (2020) A new Terrarana frog of genus Pristimantis from an unexplored cloud forest from the eastern Andes, Colombia. ZooKeys 961: 129-156. https://doi.org/10.3897/zookeys.961.51971

Figure 7 Hand and toes of adult male paratype, IAvH-Am-10271 of Pristimantis chamezensis sp. nov. in ethanol 70%. A Ventral view of foot B ventral view of hand. Scale bar: 2 mm. Photographs by Andrés Acosta-Galvis.

opencc-by-4.0Aug 2020View details →
zenodo28/100

Figure 8 from: Acosta-Galvis AR, Saldarriaga-Gómez AM, Ramírez B, Vargas-Ramírez M (2020) A new Terrarana frog of genus Pristimantis from an unexplored cloud forest from the eastern Andes, Colombia. ZooKeys 961: 129-156. https://doi.org/10.3897/zookeys.961.51971

Figure 8 Geographic diversity of frogs of the genus Pristimantis in Colombia; the numerical values correspond to the number of species reported in each region.

opencc-by-4.0Aug 2020View details →
zenodo28/100

Figure 6 from: Acosta-Galvis AR, Saldarriaga-Gómez AM, Ramírez B, Vargas-Ramírez M (2020) A new Terrarana frog of genus Pristimantis from an unexplored cloud forest from the eastern Andes, Colombia. ZooKeys 961: 129-156. https://doi.org/10.3897/zookeys.961.51971

Figure 6 Live specimens (lateral view) of Pristimantis currently known from the eastern Andean Cordillera associated with the Orinoco basin in Colombia. APristimantis carranguerorum, Medina Municipality, Cundinamarca Department, IAvH-Am-14954 (adult female, SVL = 22.6 mm) BPristimantis medemi, Medina Municipality, Cundinamarca Department, IAvH-Am-15025 (adult male, SVL = 32.5 mm) CPristimantis frater, Medina Municipality, Cundinamarca Department, IAvH-Am-14923 (adult female, SVL = 27.8 mm) DPristimantis savagei, Medina Municipality, Cundinamarca Department, IAvH-Am-14933 (adult male, SVL = 23.2 mm) EPristimantis vilarsi, La Macarena Municipality, Meta Department, IAvH-Am-15095(Adult female, SVL = 44.8 mm) FPristimantis bogotensis, Cabrera Municipality, Cundinamarca Department, IAvH-Am-15345 (adult male, SVL = 21.9 mm) GPristimantis anolirex, Santa Barbara Municipality, Santander Department, IAvH-Am-15654 (juvenile female, SVL = 22.3 mm) HPristimantis lynchi, Tasco Municipality, Boyacá Department, IAvH-Am-15871 (adult male, SVL = 22.1 mm) IPristimantis nicefori, Santa Barbara Municipality, Santander Department, IAvH-Am-15730 (SVL = 24.5 mm). Photographs by Andrés Acosta-Galvis.

opencc-by-4.0Aug 2020View details →
zenodo28/100

Figure 1 from: Acosta-Galvis AR, Saldarriaga-Gómez AM, Ramírez B, Vargas-Ramírez M (2020) A new Terrarana frog of genus Pristimantis from an unexplored cloud forest from the eastern Andes, Colombia. ZooKeys 961: 129-156. https://doi.org/10.3897/zookeys.961.51971

Figure 1 Geographic location in Colombia showing the type locality of Pristimantis chamezensis sp. nov. in the western slope of the Cordillera Oriental A red dot shows the type locality B the landscape of natural pristine forest on the eastern slopes of the Central Cordillera Oriental. Map produced using Arc Map, World Imagery.

opencc-by-4.0Aug 2020View details →
zenodo28/100

Figure 5 from: Acosta-Galvis AR, Saldarriaga-Gómez AM, Ramírez B, Vargas-Ramírez M (2020) A new Terrarana frog of genus Pristimantis from an unexplored cloud forest from the eastern Andes, Colombia. ZooKeys 961: 129-156. https://doi.org/10.3897/zookeys.961.51971

Figure 5 Pristimantis chamezensis sp. nov., live specimens. A Holotype, adult female, IAvH-Am-10269 (SVL= 23.8 mm) B juvenile, IAvH-Am-10283 (SVL = 17.5 mm) C paratype, adult female, IAvH-Am-10277 (SVL = 19.7 mm) D paratype, adult male, IAvH-Am-10267 (SVL = 22.6 mm). Photographs by Andrés Acosta-Galvis.

opencc-by-4.0Aug 2020View details →
zenodo28/100

Figure 4 from: Acosta-Galvis AR, Saldarriaga-Gómez AM, Ramírez B, Vargas-Ramírez M (2020) A new Terrarana frog of genus Pristimantis from an unexplored cloud forest from the eastern Andes, Colombia. ZooKeys 961: 129-156. https://doi.org/10.3897/zookeys.961.51971

Figure 4 Pristimantis chamezensis sp. nov. preserved holotype, adult female, IAvH-Am-10269 (SVL = 23.8 mm) A dorsal view B ventral view C lateral view. White arrow = chin with irregular blotches of dark brown. Scale bar: 10 mm. Photographs by Andrés Acosta-Galvis.

opencc-by-4.0Aug 2020View details →
zenodo28/100

Figure 3 from: Acosta-Galvis AR, Saldarriaga-Gómez AM, Ramírez B, Vargas-Ramírez M (2020) A new Terrarana frog of genus Pristimantis from an unexplored cloud forest from the eastern Andes, Colombia. ZooKeys 961: 129-156. https://doi.org/10.3897/zookeys.961.51971

Figure 3 Maximum likelihood inference tree showing the evolutionary relationships of Pristimantis chamezensis sp. nov. (bold) and its 28 more closely related Pristimantis species based on 528 bp of the 16S rRNA gene. Numbers before nodes: thorough maximum likelihood (ML) bootstrap percentages left and Bayesian analysis (BA) posterior probability values right. Bootstrap values below 50% and posterior probabilities below 0.5 not shown. Outgroup taxon removed.

opencc-by-4.0Aug 2020View details →
zenodo28/100

Figure 2 from: Acosta-Galvis AR, Saldarriaga-Gómez AM, Ramírez B, Vargas-Ramírez M (2020) A new Terrarana frog of genus Pristimantis from an unexplored cloud forest from the eastern Andes, Colombia. ZooKeys 961: 129-156. https://doi.org/10.3897/zookeys.961.51971

Figure 2 A general landscape showing the mountains of the Vereda Centro Norte, Chámeza forest at Cerro Pan de Azúcar (black arrow); type locality of Pristimantis chamezensis sp. nov. B inside the cloud forests; microhabitat where individuals were found. Photographs by Andrés Acosta-Galvis.

opencc-by-4.0Aug 2020View details →
zenodo28/100

Generating Adaptation Plans Based on Quality Models for Cloud Platforms

<p>Apresenta&ccedil;&atilde;o referente ao artigo &quot;Generating Adaptation Plans Based on Quality Models for Cloud Platforms&quot;. SBES 2020 - Trilha de Ideias Inovadoras e Resultados Emergentes.</p>

opencc-by-4.0Oct 2020View details →
zenodo28/100

Generating Trustworthiness Adaptation Plans Based on Quality Models for Cloud Platforms

<p>Apresenta&ccedil;&atilde;o referente ao artigo &quot;Generating Trustworthiness Adaptation Plans Based on Quality Models for Cloud Platforms&quot;. SBCARS 2020 - Artigos Completos</p>

opencc-by-4.0Oct 2020View details →
zenodo28/100

Files to retrieve effective radius and extinction coefficient in liquid clouds from depolarization observations at two FOVs

<pre>Files needed to retrieve the effective radius and cloud extinction coefficient at 75 meters above liquid clouds, assumed as subadiabatic, using observations of \delta_in and delta_rat as explained in acp-2020-473. The FOVs considered are FOV_in=1.0 mrad and FOV_in=2.0 mrad. The files Input_alpha_75.txt and Input_r75.txt contain respectively the input values of the extinction and effective radius (at 75m above CB). 235 input values of alpha_75 and 122 values of r_75. The file Polynomial_coeff_r75_vs_depol_rat_all_cloud-bases.txt contains the coefficients of a ciubic polynom to compute the effective radius using observations of delta_rat. These set of 4 coefficients is provided for all 8 cloud base heights, having a size of 4x8. The files matrix_alpha_vs_depolin_and_r75_XXXX.txt, with XXXX the cloud base in meters (varying from 1000 to 5000 meters), provide each matrix of size 235x122 containing the value of the simulated integrated depolarizaiton ratio at the FOV in (i.e delta_in in acp-2020-473), for the given 235 input-values of alpha_75 (provided in the File Input_alpha_75.txt) and given 122 values of r_75 (provided in File Input_r75.txt). This matrix shall be used to determine alpha_75 after knowing r_75 and depol_in. </pre>

opencc-by-4.0Oct 2020View details →
zenodo28/100

Contrasting aerosol effects on longwave cloud forcing in South East Asia and Amazon simulated with Community Atmosphere Model version 5.3

<p>Aerosols modify cloud microphysical and radiative properties and thus impact the shortwave (SW) and longwave cloud forcing (LWCF). This study first reports the finding of contrasting aerosol effects on LWCF in South East Asia and Amazon in the Community Atmosphere Model version 5.3 (CAM5.3), which corresponds to the sum of LW indirect and semi-direct effects investigated in Ghan et al., (2012). A series of numerical experiments is conducted to decompose the complex aerosol effects on LWCF. Our analysis indicates that the cooling (negative aerosol effects on LWCF) in Amazon is due mainly to the aerosol effects on warm clouds and the inhibition of vertical motion by the aerosol-induced radiative cooling. In contrast, the warming (positive aerosol effects on LWCF) in South East Asia is due mainly to the aerosol effect on homogeneous freezing, thus reducing the ice particle size and prolonging the existence of ice cloud. Our results emphasize that a comprehensive analysis of integrated aerosol effects on both warm and ice clouds is necessary for better understanding the aerosol effects on LWCF.</p>

opencc-by-4.0Nov 2020View details →
zenodo28/100

Figure 7 from: Shaney KJ, Harvey MB, Hamidy A, Kurniawan N, Smith EN (2020) Phylogeny and biogeography of Sumatra´s cloud forest lizards of the genus Dendragama and status of Acanthosaura schneideri. ZooKeys 995: 127-153. https://doi.org/10.3897/zookeys.995.49355

Figure 7 A, B highland cloud forest habitat of Dendragama schneideri (Photographs by ENS). Photographs taken at Mount Kerinci, Sumatra Barat Province illustrating similar habitats to cloud forests of the Karo Highlands where D. schneideri is found.

opencc-by-4.0Nov 2020View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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