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2,170 results for “clouds”
C2D High Reliability OFF-CLOUD Catalog
The Cores to Disks (C2D) Spitzer Legacy Program used all three Spitzer instruments (IRAC, MIPS, and IRS) to observe sources that span the evolutionary sequence from molecular cores to protoplanetary disks, encompassing a wide range of cloud masses, stellar masses, and star-forming environments. In addition to targeting about 150 known compact cores, it surveyed with IRAC and MIPS (3.6-70 mum) the entire areas of five of the nearest large molecular clouds for new candidate protostars and substellar objects as faint as 0.001 solar luminosities. C2D observed with IRAC and MIPS about 190 systems likely to be in the early stages of planetary system formation (ages up to about 10 Myr), probing the evolution of the circumstellar dust, the raw material for planetary cores.The High Reliability OFF-CLOUD Catalog provides the most reliable list of sources in the C2D OFF-CLOUD fields (ChamaeleonII (CHA_II), Lupus (LUP), Ophiuchus (OPH), Perseus (PER) and Serpens (SER)). It is derived from the Full Catalog but requires good signal-to-noise detection in some bands.
Small Magellanic Cloud MOST 843-MHz Source Catalog
This table contains a new catalog of radio-continuum sources in the field of the Small Magellanic Cloud (SMC). This catalog contains 1689 radio-continuum sources detected at 843 MHz (lambda = 36 cm) from a radio survey of 36 square degrees containing the SMC (Turtle et al. 1998, PASA, 15, 280) conducted using the Molonglo Observatory Synthesis Telescope (MOST). These observations had a beam size of ~ 45 arcseconds and an rms noise of 0.7 mJy/beam. The MIRIAD task 'imsad' was used to detect sources in the 36-cm images, requiring a fitted Gaussian flux density > 5 sigma (3.5 mJy). All sources were then visually examined to confirm that they were genuine point sources, excluding extended emission, bright side lobes, etc. This table was created by the HEASARC in September 2014 based on CDS Catalog J_other/Ser/183.103/ file tablea3.dat. This is a service provided by NASA HEASARC .
Rosette Molecular Cloud Chandra X-Ray Point Source Catalog
The authors of this study have explored the young stellar populations in the Rosette Molecular Cloud (RMC) region with high spatial resolution X-ray images from the Chandra X-ray Observatory, which are effective in locating weak-lined T Tauri stars as well as disk-bearing young stars. A total of 395 X-ray point sources are detected, 299 of which (76%) have an optical or near-infrared (NIR) counterpart identified from deep FLAMINGOS images. From X-ray and mass sensitivity limits, the authors infer a total population of ~1700 young stars in the survey region. Based on smoothed stellar surface density maps, they investigate the spatial distribution of the X-ray sources and define three distinctive structures and substructures within them. Structures B and C are associated with previously known embedded IR clusters, while structure A is a new X-ray-identified unobscured cluster. A high-mass protostar RMCX 89 = IRAS 06306+0437 and its associated sparse cluster are studied. The different subregions are not coeval but do not show a simple spatial-age pattern. Disk fractions vary between subregions and are generally <~ 20% of the total stellar population inferred from the X-ray survey. The data are consistent with speculations that triggered star formation around the H II region is present in the RMC, but do not support a simple sequential triggering process through the cloud interior. While a significant fraction of young stars are located in a distributed population throughout the RMC region, it is not clear if they originated in clustered environments. This HEASARC table contains the 348 primary sources listed in Table 1 of the reference paper, as well as the 47 tentative sources listed in Table 2 (the latter having a likelihood > 10<sup>-3</sup> of being a spurious background fluctuation based on Poisson statistics), to make a total of 395 X-ray sources. The information on optical and infrared counterparts to these X-ray sources which was provided in Table 4 of the reference paper has also been included herein. In order to allow users to clearly identify these 2 samples, the HEASARC has created a parameter source_sample which is set to 'P' for the Table 1 primary sources and to 'T' for the Table 2 tentative sources. This HEASARC table also contains the X-ray spectroscopic information derived for 158 sources which have photometric significance (the snr parameter) >= 2.0 which was presented in Table 3 of the reference paper. All spectral fits used the "wabs(apec)" model in XSPEC and assumed 0.3 * Z_Sun abundances. The quoted emission measures and X-ray luminosities assume a distance to the Rosette molecular cloud of 1.4 kpc. This table was created by the HEASARC in July 2009 based on the merger of electronic versions of tables 1, 2, 3 and 4 from the above reference which were obtained from the ApJ web site. This is a service provided by NASA HEASARC .
SnowEx17 Boise State University Terrestrial Laser Scanner (TLS) Point Cloud V001
This data set contains terrestrial laser scanner (TLS) point cloud data collected as part of the 2017 SnowEx campaign in Grand Mesa, Colorado. Data were collected under both snow-off (September 2016) and snow-on (February 2017) conditions, at both open and forested locations. Multiple scans were conducted at each site and registered together using common targets. Each point contains X, Y, and Z coordinates (Easting, Northing, and Elevation), as well as intensity (i). These TLS data can be used to determine snow depth and explore the interactions between snow and vegetation.
Nimbus-7 Narrow Field of View (NFOV) Maximum Likelihood Cloud Estimation (MLCE) Data in Native Format
NIMBUS7_NFOV_MLCE data are Nimbus 7 Narrow Field of View (NFOV) Maximum Likelihood Cloud Estimation (MLCE) Data in Native Format.The NIMBUS7_NFOV_MLCE data set uses the Nimbus-7 measurements and the MLCE algorithm for better regional and temporal resolution. The Earth Radiation Budget (ERB) parameters, derived from the Nimbus-7 scanner measurements, were rederived in 1990 using a Maximum Likelihood Cloud Estimation (MLCE) algorithm similar, but not identical, to the Earth Radiation Budget Experiment (ERBE) algorithm. Daily and monthly means are presented on two commensurate equal area world grids: (167 km by 167 km) and (500 km by 500 km). The MLCE procedure also yielded a rough estimate of the regional cloud cover.The scanner took measurements from November 16, 1978 through June 20, 1980; however, only 13 months (May 1979 through May 1980) of data sampling were reprocessed using the Sorting into Angular Bins and MLCE algorithms. There was poorer temporal sampling during the first five months of the experiment.The Nimbus 7 research-and-development satellite served as a stabilized, earth-oriented platform for the testing of advanced systems for sensing and collecting data in the pollution, oceanographic and meteorological disciplines. The polar-orbiting spacecraft consisted of three major structures: (1) a hollow torus-shaped sensor mount, (2) solar paddles, and (3) a control housing unit that was connected to the sensor mount by a tripod truss structure.
Spitzer Survey of Orion A and B Molecular Clouds YSOs Catalog
This table contains results from a survey of the Orion A and B molecular clouds undertaken with the IRAC and MIPS instruments on board Spitzer. In total, five distinct fields were mapped, covering 9 deg<sup>2</sup> in five mid-IR bands spanning 3 - 24 microns (µm). The survey includes the Orion Nebula Cluster, the Lynds 1641, 1630, and 1622 dark clouds, and the NGC 2023, 2024, 2068, and 2071 nebulae. These data are merged with the Two Micron All Sky Survey point source catalog to generate a catalog of eight-band photometry. The authors identify 3479 dusty young stellar objects (YSOs) in the Orion molecular clouds by searching for point sources with mid-IR colors indicative of reprocessed light from dusty disks or in-falling envelopes. The YSOs are subsequently classified on the basis of their mid-IR colors and their spatial distributions are presented. The authors classify 2991 of the YSOs as pre-main-sequence stars with disks and 488 as likely protostars. Most of the sources were observed with IRAC in two to three epochs over six months; the authors search for variability between the epochs by looking for correlated variability in the 3.6 and 4.5 um bands. They find that 50% of the dusty YSOs show variability. The variations are typically small (~ 0.2 mag) with the protostars showing a higher incidence of variability and larger variations. The observed correlations between the 3.6, 4.5, 5.8, and 8 um variability suggests that we are observing variations in the heating of the inner disk due to changes in the accretion luminosity or rotating accretion hot spots. This table was created by the HEASARC in January 2013 based on an electronic version of Table 4 from the reference paper which was obtained from the AJ web site. This is a service provided by NASA HEASARC .
Monoceros R2 Cloud Chandra X-Ray Point Source Catalog
The Monoceros R2 (Mon R2) Cloud X-Ray Point Source Catalog contains the results of the Chandra ACIS-I observation of the central region of this high-mass star-forming region (SFR), which lies at a distance of 830pc. With a deep exposure of ~ 100 ks, the authors detected 368 X-ray sources, ~80% of which were identified with near-infrared (NIR) counterparts. They systematically analyzed the spectra and time variability of most of the X-ray emitting sources and provide a comprehensive X-ray source catalog for the first time. Using the J-, H- and K-bands magnitudes of the NIR counterparts, they have estimated the evolutionary phase, classical T Tauri (CTT) stars and weak-lined T Tauri (WTT) stars, and the masses of the X-ray emitting sources, and have analyzed their X-ray properties as a function of age and mass. They found a marginal hint that CTT stars have a slightly higher temperature (2.4 keV) that of WTT stars (2.0 keV). A significant fraction of the high- and intermediate-mass sources have time variability and high plasma temperatures (2.7 keV) simailar to those of the low-mass stars (2.0 keV). This supports earlier proposals that high- and intermediate-mass young stellar objects emit X-rays via magnetic activity. The authors also found a significant difference in the spatial distribution between X-ray and NIR sources. This table was created by the HEASARC in January 2007 based on CDS table J/PASJ/55/635/table1.dat This is a service provided by NASA HEASARC .
On the cluster scales of hydrometeors in mixed-phase stratiform clouds [dataset]
<p>Dataset used in "On the cluster scales of hydrometeors in mixed-phase stratiform clouds".</p>
A geospatial big data cloud computing-based method for constructing spatiotemporal dataset of dengue influencing factors in Brazil
<p>This datasets includes 12 dengue-associated factors of 418 epi weeks from 2013 to 2020 in microregion-level in Brazil.</p>
FIGURE 11. Holotype adult male Myconus trivittatus Fennah, 1950 in A new species of planthopper in the genus Myconus (Hemiptera: Auchenorrhyncha: Fulgoroidea: Achilidae) from the Los Angeles Cloud Forest, Costa Rica
FIGURE 11. Holotype adult male Myconus trivittatus Fennah, 1950 (at BMNH).
Golden Gate Bridge - Point Cloud
Point cloud obtained from drone video Source: Objaverse 1.0 / Sketchfab
APUAN ALPS-CLOUDS WAVES
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1656262202.3643.jpg">https://4dcity.org/imgupload/1656262202.3643.jpg</a> <br>
Into the clouds
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1656262246.6834.jpg">https://4dcity.org/imgupload/1656262246.6834.jpg</a> <br>
Racing the clouds
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1656262222.5829.jpg">https://4dcity.org/imgupload/1656262222.5829.jpg</a> <br>
Relationship between Condensed Water Content and Liquid-Ice Mixing Homogeneity in Mixed-Phase Stratiform Clouds: Dataset
Open the record for dataset details and reuse information.
Dataset for "How Do Tropical Precipitation and Circulations Respond to the Cloud-Radiative Effect Changes?"
<p>More information is available from the data manager upon request.</p>
GlobTemperature Cloud Clearing Round Robin Dataset
<p>These data formed the test and training datasets for the GlobTemperature AATSR cloud-clearing round robin. For full details of the data contents please refer to the following document:</p> <p>http://data.globtemperature.info/doc/Round_Robin_Data_Package.pdf</p>
FIGURE 2 in A new species of frog (genus Eleutherodactylus) from a cloud forest in Western Colombia
FIGURE 2. Eleutherodactylus jubatus sp. nov., MHNUC 196, male, 24.1 mm. SVL.
Data to Support 'Persistent cloud cover over mega-cities linked to surface heat release'
<p>"Persistent cloud cover over mega-cities linked to surface heat release<br> by Theeuwes et al., 2019 NPJ Climate and atmospheric science</p> <p>HRV_london_landuse.txt</p> <ul> <li>HRV processed time series of cloud fractions [-] over each land use type (pixels have to be 100% of one land use class) <ul> <li>"high" - forest/high vegetation </li> <li>"low" - low vegetation</li> <li>"urban" - urban areas </li> <li>"water" - water bodies for London domain.</li> </ul> </li> </ul> <p>HRV_paris_landuse.txt -</p> <ul> <li>HRV processed time series of cloud fractions over each land use type (pixels have to be 100% of one land use class) <ul> <li>"high" - forest/high vegetation,</li> <li>"low" - low vegetation,</li> <li>"urban" - urban areas for Paris domain.</li> </ul> </li> </ul> <p>"london_CBH.csv" -</p> <ul> <li>Cloud base heights ("CBH_L") [m] from CL31 ceilometer at London site (Marylebone road) and logical array whether it is clear or clouds are observed in the 15-min period "clear_L, cloudy_L"</li> </ul> <p>"chilbolton_CBH.csv" -</p> <ul> <li>Cloud base heights ("CBH_C") [m] from CL75K ceilometer at Chilbolton site and logical array whether it is clear or clouds are observed in the 15-min period "clear_C, cloudy_C"</li> </ul> <p>raw data: doi:10.5285/1aa2df5a-798b-46c7-b74a-421f9ca0aa82</p> <p>"london_met.csv" -</p> <ul> <li>Data from meteorological measurements at London (Kings College London site): <ul> <li>"DIP_L" - dew point depression (air temperature - dew point temperature) [K], </li> <li>"RR_L" - precipitation [mm],</li> <li>"T_L" - absolute air temperature [K],</li> <li>"Td_L" - dew point temperature [K].</li> </ul> </li> </ul> <p>"chilbolton_met.csv" -</p> <ul> <li>Data from meteorological measurements at Chilbolton: <ul> <li>"DIP_C" - dew point depression (air temperature - dew point temperature) [K],</li> <li>"T_C" - absolute air temperature [K],</li> <li>"Td_C" - dew point temperature [K].</li> </ul> </li> </ul> <p>"london_fluxes.csv"</p> <ul> <li>- Kinematic sensible ("wth_L" [K m s-1]) and latent heat ("wq_L" [kg kg-1 m s-1]) fluxes at London (Kings College London site).</li> </ul> <p>"chilbolton_fluxes.csv"</p> <ul> <li>- Kinematic sensible ("wth_C" [K m s-1]) and latent heat ("wq_C" [kg kg-1 m s-1]) fluxes at Chilbolton.</li> </ul> <p><br> "2011_chil_lidarwstats.nc"</p> <ul> <li>- Hourly statistics of the LiDAR stare data for Chilbolton site. Vertical velocity variance corrected.</li> </ul> <p>Note: all Chilbolton raw data: http://catalogue.ceda.ac.uk/uuid/7cbc3fc19bfa037a48ba4cba4b93544d</p>
FIGURE 3. Campylocentrum luzmariae. A. Habit, B. Flower, C in Campylocentrum luzmariae (Vandeae, Orchidaceae), a new species from the Andean cloud forest of Colombia
FIGURE 3. Campylocentrum luzmariae. A. Habit, B. Flower, C. Infructescence
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.