Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

2,170

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

2,170 results for “clouds”

Learn how ShareScore rates datasets ↗
zenodo40/100

Fig. 1 in Following food clouds: feeding association between a minute loricariid and a characidiin species in an Atlantic Forest stream, Southeastern Brazil

Fig. 1. An individual of Characidium sp. positioned behind a grazing catfish, Parotocinclus maculicauda, on a large submerged rock in a fast flowing stretch of the rio do Ouro stream. Photo by R. Leitão.

opencc-by-4.0Sep 2007View details →
zenodo40/100

Fig. 2 in Following food clouds: feeding association between a minute loricariid and a characidiin species in an Atlantic Forest stream, Southeastern Brazil

Fig. 2. The grazing activity of Parotocinclus maculicauda that dislodges particles, resulting in small clouds (a); and Characidium sp. standing downstream of the foraging catfish, adopting a sit-and-wait foraging tactic to feed on the particles (b). Illustration by A. Peixoto.

opencc-by-4.0Sep 2007View details →
dryad40/100

Data for: Using spatial patterns of seeds and saplings to assess the prevalence of heterospecific replacements among cloud forest canopy tree species

<p><b>Questions:</b> To gain insights into the role of species-by-species replacements in cloud forest community structuring, we asked: (1) What are the effects of the spatial distribution of standing individuals on the seed rain, soil seed bank, and sapling density and survival in this cloud forest? and (2) What is the prevalence of conspecific vs<i>.</i> heterospecific replacements in the regeneration of this forest?</p> <p><b>Location:</b> Santo Tomás Teipan, Oaxaca State, southern Mexico.</p> <p><b>Methods:</b> In a 1-ha cloud forest plot we assessed seed rain, seed bank, and sapling density and survival of four canopy tree species (<i>Chiranthodendron pentadactylon</i>, <i>Cornus disciflora</i>,<i> Quercus laurina</i>, <i>Oreopanax</i> <i>xalapensis</i>). All standing individuals of these and other tree species (dbh ≥ 2.5 cm) were mapped. We used neighbourhood models to examine the spatial patterns of the three life cycle stages relative to the spatial distribution of adults. The neighbourhood effect was assessed through the Neighbourhood Index, which integrates information on size (dbh) and distance to adults. Data analysis was based on maximum likelihood and model selection procedures.</p> <p><b>Results:</b> We found large between-species differences regarding the spatial patterns of seeds and saplings. Three species showed evidence for the Janzen-Connell effect operating at the seed (<i>C. pentadactylon</i> and <i>Q. laurina</i>) or sapling (<i>O.</i> <i>xalapensis</i>) stage. We also found support for a critical role of specific microsite factors (i.e., niche differentiation) in the regeneration of two species (<i>C. pentadactylon</i> and <i>C. disciflora</i>).</p> <p><b>Conclusions:</b>  Seed and sapling distribution patterns suggest the prevalence of heterospecific replacements, and that both Janzen-Connell and niche differentiation effects contribute to this pattern. Our results largely support the notion that the prevalence of heterospecific replacements among canopy species promotes species coexistence in cloud forest.</p>

opencc-zeroSep 2021View details →
zenodo40/100

Fig. 8 in Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest

Fig. 8. Interspecific phylogenetic relationships of Physalaemus araxa sp. nov. inferred from 12S rRNA, tRNA-val, and 16S rRNA mitochondrial genes (H1 fragment sequences) by MrBayes and TNT. Numbers indicate posterior probabilities (left) or bootstrap values (right) in the MrBayes and TNT analyses, respectively. Hyphens indicate nodes that were not recovered in the TNT analysis.

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 7 in Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest

Fig. 7. Karyotype of Physalaemus araxa sp. nov. A. Giemsa-stained. B. C-banded. The insert in B shows the faint C-band on chromosome pair 3.

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 3 in Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest

Fig. 3. Color in live paratypes of Physalaemus araxa sp. nov. A. ZUEC-AMP 24119 (paratype), evidencing the color of inguinal region. B. ZUEC-AMP 24120 (paratype), in an upright posture with vocal sac slightly inflated, photographed in situ; notice the contrast of the yellow vocal sac with the background. C–D. ZUEC-AMP 24098 (paratype), evidencing ventral and dorsolateral colors; notice the distribution of yellow pigmentation ventrally and laterally.

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 6 in Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest

Fig. 6. Tadpole of Physalaemus araxa sp. nov. at stage 37 (ZUEC-AMP 24214). A. Lateral view. B. Dorsal view. C. Ventral view. D. Oral disc completely opened. E. Details of the right nostril in frontal view. F. Spiracle in lateral view. G. Vent tube in lateral view. H. Tadpole of Physalaemus araxa sp. nov. in life (photo not to scale). Scale bars: A–C, F–G = 10 mm; D = 1 mm; E = 0.5 mm.

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 2 in Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest

Fig. 2. Physalaemus araxa sp. nov., holotype, adult ♂ (ZUEC-AMP 24095). A. Head, dorsal view. B. Head, lateral view. C. Right hand, ventral view. D. Right foot, ventral view. Scale bars = 2 mm.

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 10 in Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest

Fig. 10. Physalaemus araxa sp. nov. males calling activity per hour along one complete day in the top of the Caparaó National Park, municipality of Ibitirama, state of Espírito Santo, Brazil. The shaded blue indicates nocturnal period and the red line indicates the normal Gaussian fitted curve for the calling activity (adjusted after running the normality test).

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 4 in Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest

Fig. 4. Spectrograms (above) and oscillograms (below) of advertisement calls of Physalaemus araxa sp. nov., highlighting an increasing complexity with one (A), two (B), or three (C) notes; recorded in the Caparaó National Park, municipality of Ibitirama, state of Espírito Santo, Brazil.

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 9 in Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest

Fig. 9. Type locality of Physalaemus araxa sp. nov., Lagoa da Sombra, at Parque Nacional do Caparaó.

opencc-by-4.0Aug 2021View details →
zenodo40/100

Fig. 1 in Head in the clouds: a new dwarf frog species of the Physalaemus signifer clade (Leptodactylidae, Leiuperinae) from the top of the Brazilian Atlantic Forest

Fig. 1. Physalaemus araxa sp. nov., holotype, adult ♂, SVL 21 mm (ZUEC-AMP 24095). A. Dorsal view. B. Ventral view. Scale bar = 5 mm.

opencc-by-4.0Aug 2021View details →
zenodo40/100

ULS and UAV-MS Directly Georeferenced Point Clouds of the River Teme

<p>Directly Georeferenced Point Clouds of the River Teme for PhD research, provided as supporting information to methods described. These are unfiltered point clouds of a vegetated river reach in the UK, given in WGS UTM_30N CRS. UAV-MS are SfM derived point clouds and ULS UAV laser scanning based point clouds.</p>

opencc-by-4.0Sep 2021View details →
zenodo40/100

Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds

<p>Our proposed dataset comprises 199 cylindrical plots of 10 m radius corresponding to typical pasture land parcels in South-Eastern France. Each plot contains between 3000 and 17000 3D points, and each point is attributed with a total of 10 features: (i) absolute 3D coordinates, (ii) RGB and Near-InfraRed reflectance obtained with aerial cameras, (iii) uncalibrated laser intensity,&nbsp;return number and number of returns provided by the aerial LiDAR.</p> <p>This dataset can be used as training data for our model deep learning model &quot;Vegetation Stratum Occupancy Prediction from Airborne LiDAR 3D Point Clouds&quot; available on&nbsp;<a href="https://github.com/ekalinicheva/plot_vegetation_coverage">https://github.com/ekalinicheva/plot_vegetation_coverage</a></p> <p>&nbsp;</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

Data in support of the publication "First Detection and Thermal Characterization of Terminator CO2 Ice Clouds with ExoMars/NOMAD" on Geophysical Research Letters

<p>This archive contains the data underlying the 3 Figures in the main manuscript, including the vertical profiles of retrieved aerosols, vertical profiles of CO2 saturation ratio and spatial distribution of the retrieved clouds.</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

UAV RGB imagery dataset captured at nadir and oblique angles over pistachio trees in Spain, including images, GCPs, 3D point cloud and orthomosaic.

<p>The dataset comprises 248 images taken in two flights on 29 July 2021&nbsp;over a pistachio orchard in Spain. In addition, GCPs (ground control points) were collected to improve the photogrammetric process accuracy. The photos were taken using a UAV DJI Phantom Advance quadcopter equipped with a DJI FC6310 RGB 20-megapixel camera. The first flight mission was planned to take nadir images (-90&ordm; gimbal pitch degree), whereas the second flight was scheduled to take oblique images (-60&ordm; gimbal pitch degree), both at 55 metres above the ground. In addition, the images were used to generate a 3D point cloud, DEM and&nbsp;orthomosaic, which were included in the dataset.This dataset is useful for precision agriculture researchers interested in photogrammetric reconstruction.</p>

opencc-by-4.0Dec 2021View details →
zenodo40/100

Cool, Luminous, and Highly Variable Stars in the Magellanic Clouds. II: Spectroscopic Data of Thorne-Zytkow Object and Super-AGB Star Candidates

<p>This dataset contains Magellan MIKE spectroscopy of a population of cool, luminous stars in the Magellanic Clouds, a sample of confirmed Magellanic Cloud red supergiants, and spectrophotometric standard stars. The spectra were analyzed in the paper &quot;Cool, Luminous, and Highly Variable Stars in the Magellanic Clouds. II: Spectroscopic and Environmental Analysis of Thorne-\.Zytkow Object and Super-AGB Star Candidates&quot; by O&#39;Grady et al. (2022). More details are provided in the README.&nbsp;</p>

opencc-by-4.0Nov 2022View details →
zenodo40/100

NERC MSTRF Sky-Camera Time-Lapse Video for 2010-09-07 16:50 UTC (showing Cumulonimbus cloud development at sunset).

<p>A time-lapse video showing Cumulonimbus cloud development at sunset. Most of the first Cumulonimbus cloud is obscured by the smaller Cumulus clouds in the foreground. Its anvil is clearly visible. Three further Cumulonimbus clouds cast crepuscular rays from the light of the setting sun. Their anvils merge together. This video has been created from images taken by the NERC MST Radar Facility&#39;s Sky-Camera, which is located near Aberystwyth in West Wales. The images are freely available, under an Open (UK) Government License, from http://tinyurl.com/nerc-mstrf-sky-camera/ . For an explanation of the atmospheric phenomena that can be seen, download the resource available at http://cedadocs.ceda.ac.uk/1259/ .</p>

opencc-by-4.0Jul 2017View details →
zenodo40/100

NERC MSTRF Sky-Camera Time-Lapse Video for 2007-09-30 14:30 UTC (showing Altocumulus clouds displaying both undulatus and lenticularis features).

<p>A time-lapse video showing Altocumulus clouds displaying both undulatus and lenticularis features. A lower cloud layer can be seen moving in a different direction at the beginning of the sequence. Contrails and cirrus clouds can be seen at higher levels. This video has been created from images taken by the NERC MST Radar Facility&#39;s Sky-Camera, which is located near Aberystwyth in West Wales. The images are freely available, under an Open (UK) Government License, from http://tinyurl.com/nerc-mstrf-sky-camera/ . For an explanation of the atmospheric phenomena that can be seen, download the resource available at http://cedadocs.ceda.ac.uk/1259/ .</p>

opencc-by-4.0Jul 2017View details →
zenodo40/100

NCAS CDAO Sky-Camera Time-Lapse Video for 2007-10-04 05:30 UTC (showing Cumulus mediocris clouds).

<p>A time-lapse video showing Cumulus mediocris clouds (with occasional Cirrus clouds and contrails at a higher level). The Cumulus clouds are in a continuous state of change. Many can be seen to form and/or to evaporate within the field of view. The evaporating clouds give rise to ragged Cumulus fractus formations. This video has been created from images taken by the Sky-Camera at the National Centre for Atmospheric Science (NCAS) Capel Dewi Atmospheric Observatory (CDAO) near Aberystwyth, UK - formerly known as the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility. The images are freely available under a UK Open Government Licence from http://tinyurl.com/nerc-mstrf-sky-camera/ . For more details visit http://mst.nerc.ac.uk .</p>

opencc-by-4.0Dec 2019View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.