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2,170 results for “clouds”
Data from: A mistletoe tale: postglacial invasion of Psittacanthus schiedeanus (Loranthaceae) to Mesoamerican cloud forests revealed by molecular data and species distribution modeling
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Data for: UK redwoods terrestrial laser scanner point clouds
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Functional and genetic diversity changes through time in a cloud forest ant assemblage
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Toward low-cloud-permitting cloud superparameterization with explicit boundary layer turbulence -- simulation data
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2-minute PALMOS automatic weather station meteorological measurements (precipitation, radiation, cloud base, temperature, etc.) from Palmer Station Antarctica, 2001 - March 2017.
Automated weather observation station at Palmer Station Antarctica using Coastal Environment sensors. Started recording in November 2001. Overlapped for two years with manual observations. In December 2003, the PalMOS automated report generator was brought online and the manual observations discontinued. The sole manual observation remaining is the daily snow-level and new snow level measurements.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Cloud Mask R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Cloud Mask (PREFIRE_SAT2_2B-MSK) contains a binary clear/cloud indicator and probabilities derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT2_2B-MSK is derived from mid-infrared and far-infrared measurements collected globally by TIRS-PREFIRE aboard PREFIRE-SAT2 using a Machine Learning technique. Specifically, inputs are PREFIRE Spectral Radiance (PREFIRE_SAT2_1B-RAD) from PREFIRE Satellite 2 (PREFIRE_SAT2_2B-RAD) and PREFIRE Auxiliary Meteorology Data created for PREFIRE Satellite 2 (PREFIRE_SAT2_AUX-MET). PREFIRE_SAT2_2B-MSK is used to identify cloudy and clear scenes in TIRS-PREFIRE data, which supports the production of other Level 2 PREFIRE products. These include variables such as top of atmosphere spectral flux, surface spectral emissivity, and atmospheric properties such as temperature and water vapor profiles. Science data retrieval started June 29, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The cloud identification data for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_2B-MSK collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Cloud Properties from PREFIRE Satellite 1 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Cloud Properties (PREFIRE_SAT1_2B-CLD) contains cloud properties derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_2B-CLD contains cloud top pressure, cloud optical depth, and cloud particle diameter as derived from PREFIRE Spectral Radiance (PREFIRE_SAT1_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from PREFIRE_SAT1_2B-MSK (cloud mask) and PREFIRE_SAT1_AUX-MET (Auxiliary Meteorlogy). The primary purpose of PREFIRE_SAT1_2B-CLD is to provide cloud properties information for the PREFIRE_SAT1_2B-FLX (spectral flux) product, which requires only enough accuracy for a coarse look-up table. This data collection is not suitable for an analysis of specific cloud properties.Science data retrieval started July 24, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The cloud properties data for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_2B-CLD collection.
ECOSTRESS Cloud Mask Daily L2 Global 70m V001
The ECO2CLD Version 1 data product was decommissioned on May 21, 2025. Users are encouraged to use the [ECO_L2_CLOUD](https://doi.org/10.5067/ECOSTRESS/ECO_L2_CLOUD.002) Version 2 and [ECO_L2G_CLOUD](https://doi.org/10.5067/ECOSTRESS/ECO_L2G_CLOUD.002) Version 2 data products.The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52 degrees N and 52 degrees S latitudes. The ECO2CLD Version 1 data product provides a cloud mask that can be used to determine cloud cover for the ECO1BRAD, ECO2LSTE, ECO3ETPTJPL, ECO4ESIPTJPL, and ECO4WUE data products. The ECOSTRESS Level 2 cloud product is derived using the five calibrated thermal bands in a multispectral cloud-conservative thresholding approach. The details of the algorithm are provided in the Algorithm Theoretical Basis Document (ATBD). The corresponding [ECO1BGEO](https://doi.org/10.5067/ECOSTRESS/ECO1BGEO.001) data product is required to georeference the ECO2CLD data product.The ECO2CLD Version 1 data product contains a single cloud mask layer. Information on how to interpret the bit fields in the cloud mask is provided in section 3.1 of the User Guide.Known Issues* Data acquisition gap: ECOSTRESS was launched on June 29, 2018, and moved to autonomous science operations on August 20, 2018, following a successful in-orbit checkout period. On September 29, 2018, ECOSTRESS experienced an anomaly with its primary mass storage unit (MSU). ECOSTRESS has a primary and secondary MSU (A and B). On December 5, 2018, the instrument was switched to the secondary MSU and science operations resumed. On March 14, 2019, the secondary MSU experienced a similar anomaly temporarily halting science acquisitions. On May 15, 2019, a new data acquisition approach was implemented and science acquisitions resumed. To optimize the new acquisition approach TIR bands 2, 4, and 5 are being downloaded. The data products are as previously, except the bands not downloaded contain fill values (L1 radiance and L2 emissivity). This approach was implemented from May 15, 2019, through April 28, 2023.* Data acquisition gap: From February 8 to February 16, 2020, an ECOSTRESS instrument issue resulted in a data anomaly that created striping in band 4 (10.5 micron). These data products have been reprocessed and are available for download. No ECOSTRESS data were acquired on February 17, 2020, due to the instrument being in SAFEHOLD. Data acquired following the anomaly have not been affected.* Data acquisition: ECOSTRESS has now successfully returned to 5-band mode after being in 3-band mode since 2019. This feature was successfully enabled following a Data Processing Unit firmware update (version 4.1) to the payload on April 28, 2023. To better balance contiguous science data scene variables, 3-band collection is currently being interleaved with 5-band acquisitions over the orbital day/night periods.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Cloud Properties from PREFIRE Satellite 2 R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 2 Cloud Properties (PREFIRE_SAT2_2B-CLD) contains cloud properties derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT2_2B-CLD contains cloud top pressure, cloud optical depth, and cloud particle diameter as derived from PREFIRE Spectral Radiance (PREFIRE_SAT2_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from PREFIRE_SAT2_2B-MSK (cloud mask) and PREFIRE_SAT2_AUX-MET (Auxiliary Meteorlogy). The primary purpose of PREFIRE_SAT2_2B-CLD is to provide cloud properties information for the PREFIRE_SAT2_2B-FLX (spectral flux) product, which requires only enough accuracy for a coarse look-up table. This data collection is not suitable for an analysis of specific cloud properties.Science data retrieval started June 29, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The cloud properties data for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_2B-CLD collection.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Cloud Mask R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Satellite 1 Cloud Mask (PREFIRE_SAT1_2B-MSK) contains a binary clear/cloud indicator and probabilities derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT1. Dual CubeSats each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT1_2B-MSK is derived from mid-infrared and far-infrared measurements collected globally by TIRS-PREFIRE aboard PREFIRE-SAT1 using a Machine Learning technique. Specifically, inputs are PREFIRE Spectral Radiance (PREFIRE_SAT1_1B-RAD) from PREFIRE Satellite 1 (PREFIRE_SAT1_2B-RAD) and PREFIRE Auxiliary Meteorology Data created for PREFIRE Satellite 1 (PREFIRE_SAT1_AUX-MET). PREFIRE_SAT1_2B-MSK is used to identify cloudy and clear scenes in TIRS-PREFIRE data, which supports the production of other Level 2 PREFIRE products. These include variables such as top of atmosphere spectral flux, surface spectral emissivity, and atmospheric properties such as temperature and water vapor profiles. Science data retrieval started July 24, 2024 and is ongoing. Geographic coverage is global, with the greatest concentration of data in the polar regions. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each PREFIRE-TIRS. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was ~264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint size will slowly become smaller as the orbit altitude decreases with time. This data has a temporal resolution of 0.707 seconds and is available in netCDF-4.The cloud identification data for the sister instrument aboard PREFIRE-SAT2 can be found in the PREFIRE_SAT2_2B-MSK collection.
Figures 1–8 in New larval host records for Tortricidae (Lepidoptera) from an Ecuadorian Andean cloud forest
Figures 1–8. Adults of reared tortricids. 1) Lypothora roseochraon, female holotype. 2) Inape nr. cinnamobrunnea, male. 3) Inape sp. 4, female. 4) Paraptila nr. argocosma, female. 5) Sisurcana fasciana, male. 6) Sisurcana sp. 1, female. 7) Anacrusis yanayacana, holotype male. 8) Episimus sp., female.
Global K-Pg layer deposited from a dust cloud
<p>Data set used in Figures 1 and 2 of the paper which will be published in GRL. Each file contains x-z coordinates and density values in kg/m3. File names are rho_atmo_(time).dat or rho_dust_(time).dat, where (time) is the time moment in seconds (300, 600, 1200, 3600).</p>
Model simulation data used in "Coupling aerosols to (cirrus) clouds in the global aerosol-climate model EMAC-MADE3" (Righi et al., Geosci. Model Dev., 2020)
<p>This dataset contains the output of the EMAC global model simulations analysed and discussed in Righi et al. (<i>Geosci. Model Dev.</i>, 2020). An overview of the numerical experiments performed for this study is given in the file "experiments.dat".</p>
FIGURE 7 in Hydaticus (Prodaticus) hauthi sp. nov., a new diving beetle from the cloud forest in the Cordillera El Sira, Peru (Coleoptera: Dytiscidae)
FIGURE 7. Map, type locality of H. hauthi sp. nov..
Cycle-free Subclass Subsumption Relations of the LOD Cloud
<p>These are the datasets from the SUBMASSIVE system (www.submassive.cc)</p> <p>Title of the paper: SUBMASSIVE: Resolving Cyclic Subclass Relations in Very Large Knowledge Graphs</p> <p>--</p> <p>Original data:</p> <ul> <li>subC-all (all the subclass subsumption relations)</li> </ul> <p>Fully Automatic (FA) approach: </p> <ul> <li>refined-subC-FA (relations remain after FA processing)</li> </ul> <p>Semi-automatic (SA) approach:</p> <ul> <li>refined-subC-SA (relations remain after SA processing)</li> </ul> <p>Original data:</p> <ul> <li>subP-all (all the subproperty subsumption relations)</li> <li> refined-subP (relations remain)</li> </ul>
Figure 3 in The Trichoptera of Panama. VI. Seven new species of microcaddisflies (Insecta: Trichoptera: Hydroptilidae) from Mount Totumas Cloud Forest and Biological Reserve
Figure 3. Costatrichia dietrichi sp. n., male genitalia. A) Segments VII–X, lateral (base of phallus crosshatched). B) Segments IX–X, dorsal. C) Segment VIII and segment VII mesoventral process, ventral. D) Phallus, lateral. E) Phallus dorsal.
Figure 1 in The Trichoptera of Panama. VI. Seven new species of microcaddisflies (Insecta: Trichoptera: Hydroptilidae) from Mount Totumas Cloud Forest and Biological Reserve
Figure 1. Maps of the study site. A) Major watersheds (cuencas) of Panama, with the Mount Totumas Cloud Forest and Biological Reserve (MTCF), Chiriquí Province, Panama location indicated on the far left in the Río Chiriquí Viejo watershed. B) Hydrography of the Río Chiriquí Viejo watershed with the study streams colored in red. C) Close-up of the study area (1-Río Colorado, 2-Quebrada Norte, 3-unnamed tributary of the Río Colorado). The southern limit of MTCF is approximately where Quebrada Norte enters the Río Colorado (thick black line).
Sonora 2018: Cloud-free, solar C/O substellar evolution and photometry
<p>These models of the evolution and predicted photometry for non-irradiated, substellar mass objects (brown dwarfs and extrasolar giant planets) belong to the Sonora 2018 model series, to be described in Marley et al., currently in preparation for submission to Astrophysical Journal. Evolution tables provide luminosity, effective temperature, radius, gravity, and moment of inertia as a function of object mass and age. Photometry tables provide expected brightness in a selection of commonly used passbands, including those of JWST.</p> <p>This particular set of tables are for cloudless, solar C/O ratio objects at three metallicities ([M/H]=-0.5, 0.0, +0.5) (relative to Lodders (2010) abundances) with 3.25 ≤ log g(cgs) ≤ 5.5 and 200 ≤ T<sub>eff</sub>(K) ≤ 2400. "Rainout" chemical equilibrium is assumed. </p> <p>"co1.0" in filename nomenclature refers to 1.0 times the solar C/O ratio. </p> <p>The solar composition [M/H]=0.0 files are the same as in https://zenodo.org/record/1309035#.XoKM6y-ZN3k except for the addition here of moment of inertia column.</p> <p>Errata:</p> <p>README.pdf</p> <p>- units on luminosity are erg/s not erg/s/cm^2 (4/13/2020)</p> <p> </p>
Rt-Cloud rtAttenPenn Sample DICOM data
<p>This upload contains the same data as published in <a href="https://doi.org/10.5281/zenodo.3677090">our previous zenodo dataset upload</a>. Unlike our previous upload, this version contains data after transferring the DICOMs directly from the Siemens Skyra 3T to our Linux machine (as done in real-time experiments). The purpose of this separate upload is to serve as sample data for our <a href="https://github.com/brainiak/rt-cloud">real-time cloud software</a>, for the r<a href="https://github.com/brainiak/rtAttenPenn_cloud">tAttenPenn project</a>. A previous version of this same data was uploaded for a different rt-cloud <a href="https://github.com/amennen/amygActivation">sample project</a> <a href="https://doi.org/10.5281/zenodo.3862783">(zenodo link here)</a>. For the current sample project, we are additionally including a T1w anatomical scan for real-time registration. All brain data are contributed by author S.A.N. and are authorized for non-anonymized distribution.</p>
Lightning activity and its associations with cloud structures in a rainstorm dominated by warm precipitation
<p>It is the data associated with the figures in the paper titiled " Lightning activity and its associations with cloud structures in a rainstorm dominated by warm precipitation " which is being in the process of submission. The following is the abstract of this paper. </p> <p>Lightning activity and its associations with cloud structures during a rainstorm dominated by warm cloud precipitation were studied in Guangdong, China on May 7, 2017, using three-dimensional lightning location and polarimetric radar data. The overall convection and lightning activities of the rainstorm were weak. The rainstorm generally showed a typical tripolar charge structure with the main negative charge core located between the −15 and −8 °C environmental isotherms in the first 4 h. The height of the charge regions clearly decreased after this period, with the main negative charge core being below the –8 °C isotherm. Lightning discharges were more concentrated in areas featuring relatively weak convection and relatively low precipitation intensity. Most of the locations with lightning discharges were dominated by dry aggregated snow and weak updrafts and downdrafts. This investigation demonstrated that the lightning discharges were spatially separated from the area of origin of charging in this rainstorm. It is proposed that, with weak convection in the rainstorm, the charging rate was lower than the speed of charge transfer from the area of origin, causing a relatively low charge density and a low frequency of lightning in the area of origin of charging. Meanwhile, the aggregation of small charged particles in regions away from the area of origin of charging might be conducive to the formation of a relatively high charge density and therefore relatively frequent lightning flashes. This situation is different from a typical thunderstorm with strong convection.</p>
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.