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.

9

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

9 results for “Cloud optical properties”

Learn how ShareScore rates datasets ↗
zenodo40/100

Simulated top-of-atmosphere (120 km) downward and upward solar and thermal-infrared irradiances and ice cloud optical thickness; calculated solar, TIR and net cloud radiative effect. Simulated with ice crystal properties for aggregates, droxtals, and plates based on Yang (2013).

<p>This dataset consists of three .nc files for ice crystal shapes of aggregates, plates, and droxtals. The files include ice cloud optical thickness <span class="math-tex">\(\tau\)</span> (550nm), the simulated upward and downward irradiances <span class="math-tex">\(F\)</span> at the top-of-atmosphere (with and without the presence of the ice cloud), and the calculated ice cloud radiative effect <span class="math-tex">\(\Delta F\)</span> (solar [0.3-3.5 <span class="math-tex">\(\mu\)</span>m], thermal-infrared [3.5-75 <span class="math-tex">\(\mu\)</span>m], and net). The data set allows the user to extract <span class="math-tex">\(\Delta F\)</span> values for their parameter combinations. The available cloudy and cloud-free irradiances further allow to calculate the cirrus radiative effect (RE) by scaling the &#39;cloudy&#39; RE with the required cloud cover. This serves as a first-approximation because, as 3D effects are neglected.</p>

opencc-by-4.0Jul 2023View details →
zenodo32/100

Dataset for "Diurnal variations of cloud optical properties during day-time over China based on Himawari-8 satellite retrievals"

<p>Dataset for &quot;Diurnal variations of cloud optical properties during day-time over China based on Himawari-8 satellite retrievals&quot;.</p>

opencc-by-4.0Nov 2021View details →
zenodo32/100

Datasets for "Irradiance and cloud optical properties from solar photovoltaic systems" (final version)

<p>This dataset contains all the relevant data for the algorithms described in the paper "<a href="https://amt.copernicus.org/articles/16/4975/2023/">Irradiance and cloud optical properties from solar photovoltaic systems</a>", which were developed within the framework of the <a href="https://www.h-brs.de/de/satelliten-und-meteorologie-unterstuetzte-vorhersage-der-energieerzeugung-von-pv-anlagen-auf">MetPVNet</a> project.</p> <p><strong>Input data:</strong></p> <ol> <li><a href="http://www.cosmo-model.org/">COSMO</a> weather model data (DWD) as NetCDF files (cosmo_d2_2018(9).tar.gz) <ol> <li>COSMO atmospheres for <a href="http://www.libradtran.org/">libRadtran</a> (cosmo_atmosphere_libradtran_input.tar.gz)</li> <li>COSMO surface data for calibration (cosmo_pvcal_output.tar.gz)</li> </ol> </li> <li><a href="https://aeronet.gsfc.nasa.gov/">Aeronet</a> data as text files (MetPVNet_Aeronet_Input_Data.zip)</li> <li>Measured data from the <a href="https://www.h-brs.de/de/satelliten-und-meteorologie-unterstuetzte-vorhersage-der-energieerzeugung-von-pv-anlagen-auf">MetPVNet</a> measurement campaigns as text files (MetPVNet_Messkampagne_2018(9).tar.gz) <ol> <li>PV power data</li> <li>Horizontal and tilted irradiance from pyranometers</li> <li>Longwave irradiance from pyrgeometer</li> </ol> </li> <li>MYSTIC-based lookup table for translated tilted to horizontal irradiance (gti2ghi_lut_v1.nc)</li> </ol> <p><strong>Output data:</strong></p> <ol> <li>Global tilted irradiance (GTI) inferred from PV power plants (with calibration parameters in comments) <ol> <li>Linear temperature model: MetPVNet_gti_cf_inversion_results_linear.tar.gz</li> <li>Faiman non-linear temperature model: MetPVNet_gti_cf_inversion_results_faiman.tar.gz</li> </ol> </li> <li>Global horizontal irradiance (GHI) inferred from PV power plants <ol> <li>Linear temperature model: MetPVNet_ghi_inversion_results_linear.tar.gz</li> <li>Faiman non-linear temperature model: MetPVNet_ghi_inversion_results_faiman.tar.gz</li> </ol> </li> <li>Combined GHI averaged to 60 minutes and compared with COSMO data <ol> <li>Linear temperature model: MetPVNet_ghi_inversion_combo_60min_results_linear.tar.gz</li> <li>Faiman non-linear temperature model: MetPVNet_ghi_inversion_combo_60min_results_faiman.tar.gz</li> </ol> </li> <li>Cloud optical depth inferred from PV power plants <ol> <li>Linear temperature model: MetPVNet_cod_cf_inversion_results_linear.tar.gz</li> <li>Faiman non-linear temperature model: MetPVNet_cod_cf_inversion_results_faiman.tar.gz</li> </ol> </li> <li>Combined COD averaged to 60 minutes and compared with COSMO and APOLLO_NG data <ol> <li>Linear temperature model: MetPVNet_cod_inversion_combo_60min_results_linear.tar.gz</li> <li>Faiman non-linear temperature model: MetPVNet_cod_inversion_combo_60min_results_faiman.tar.gz</li> </ol> </li> </ol> <p><strong>Validation data:</strong></p> <ol> <li>COSMO cloud optical depth (cosmo_cod_output.tar.gz)</li> <li>APOLLO_NG cloud optical depth (MetPVNet_apng_extract_all_stations_2018(9).tar.gz)</li> <li>COSMO irradiance data for validation (cosmo_irradiance_output.tar.gz)</li> <li><a href="https://www.soda-pro.com/web-services/radiation/cams-radiation-service">CAMS</a> irradiance data for validation (CAMS_irradiation_detailed_MetPVNet_MK_2018(9).zip)</li> </ol> <p><strong>How to import results:</strong></p> <p>The results files are stored as text files ".dat", using Python multi-index columns. In order to import the data into a Pandas dataframe, use the following lines of code (replace [filename] with the relevant file name):</p> <p>import pandas as pd<br>data = pd.read_csv("[filename].dat",comment='#',header=[0,1],delimiter=';',index_col=0,parse_dates=True)</p> <p>This gives a multi-index Dataframe with the index column the timestamp, the first column label corresponds to the measured variable and the second column to the relevant sensor</p> <p><strong>Note:</strong></p> <p>The output data has been updated to match the latest version of the paper, whereas the input and validation data remains the same as in Version 1.0.0</p>

opencc-by-4.0Sep 2023View details →
zenodo28/100

HULIS and WSOC optical property data in cloud water collected at Taishan in 2021

Open the record for dataset details and reuse information.

opencc-by-4.0Aug 2024View details →
nasa28/100

CERES Daily Daytime Mean Regionally Averaged Terra and Aqua TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition4A

CER_FluxByCldTyp-Day_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Daily Daytime Mean Regionally Averaged Terra and Aqua Top-of-Atmosphere (TOA) Fluxes and associated cloud properties stratified by the optical depth and effective pressure Edition4A data product. Data was collected using CERES Flight Model 1 (FM1), FM2, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and CERES-FM3, FM4, and MODIS on Aqua. Data collection is ongoing. CER_FluxByCldTyp-Day_Terra-Aqua-MODIS_Edition4A provides instantaneous daytime CERES fluxes and CERES-MODIS cloud properties that have been spatially gridded into 1° regions along both the Terra and Aqua ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Day Edition4A product inputs Single Scanner Footprint (SSF) Edition4A footprint data. All 1-km pixel-level MODIS-retrieved cloud properties within each footprint are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The MODIS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a single day.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

restrictednotspecifiedApr 2025View details →
nasa28/100

CERES Monthly Daytime Mean Regionally Averaged Terra and Aqua TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition4A

CER_FluxByCldTyp-Month_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Monthly Daytime Mean Regionally Averaged Terra and Aqua Top-of-Atmosphere (TOA) Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition 4A data product. Data was collected using CERES Flight Model 1 (FM1), FM2, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and FM3, FM4, and MODIS on Aqua. Data collection for this product is ongoing. CER_FluxByCldTyp-Month_Terra-Aqua-MODIS_Edition4A provides the monthly mean daytime CERES fluxes and CERES-Moderate-Resolution Imaging Spectroradiometer (MODIS) cloud properties that have been spatially gridded into 1° regions along both the Terra and Aqua ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Month Edition4A product inputs Single Scanner Footprint (SSF) Edition4A footprint data. All 1-km pixel-level MODIS-retrieved cloud properties within each footprint are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The MODIS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a single day.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

restrictednotspecifiedApr 2025View details →
nasa28/100

CERES Monthly Daytime Mean Regionally Averaged NOAA-20 TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition1B

CER_FluxByCldTyp-Month_NOAA20-VIIRS_Edition1B is the Clouds and the Earth's Radiant Energy System (CERES) Monthly Daytime Mean Regionally Averaged NOAA-20 Top-of-Atmosphere (TOA) Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition 1B data product. Data was collected using CERES Flight Model 6 (FM6) and Visible Infrared Imaging Radiometer Suite (VIIRS) on NOAA-20. Data collection for this product is ongoing. CER_FluxByCldTyp-Month_NOAA20-VIIRS_Edition1B provides the monthly mean daytime CERES fluxes and CERES-VIIRS cloud properties that have been spatially gridded into 1° regions along both the Terra and Aqua ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Month Edition1B product inputs Single Scanner Footprint (SSF) Edition1B footprint data. Within each footprint, all 1-km pixel-level VIIRS-retrieved cloud properties are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The VIIRS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a single day.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

restrictednotspecifiedApr 2025View details →
nasa28/100

CALIPSO Lidar Level 2 Polar Stratospheric Clouds presents, composition, and optical properties, V2-00

The Version 2 (V2) CALIPSO Lidar Level 2 Polar Stratospheric Clouds (PSC) data product ensemble describes the spatial distribution, optical properties, and composition of PSC layers observed by the CALIPSO lidar (CALIOP). The product contains profiles of PSC presence, composition, optical properties, and meteorological information on a uniform 5-km horizontal x 180-m vertical grid along CALIPSO orbit tracks. Aura Microwave Limb Sounder (MLS) measurements of the primary PSC condensable vapors HNO3 and H2O and a number of parameters from the Aura MLS V2 Derived Meteorological Products (DMPs) are also included in the V2 PSC data product ensemble.

restrictednotspecifiedApr 2025View details →
nasa28/100

CERES Daily Daytime Mean Regionally Averaged NOAA-20 TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition1B

CER_FluxByCldTyp-Day_NOAA20-VIIRS_Edition1B is the Clouds and the Earth's Radiant Energy System (CERES) Monthly Daytime Mean Regionally Averaged NOAA-20 Top-of-Atmosphere (TOA) Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition 1B data product. Data was collected using CERES Flight Model 6 (FM6) and Visible Infrared Imaging Radiometer Suite (VIIRS) on NOAA-20. Data collection for this product is ongoing. CER_FluxByCldTyp-Day_NOAA20-VIIRS_Edition1B provides the monthly mean daytime CERES fluxes and CERES-VIIRS cloud properties that have been spatially gridded into 1° regions along both the NOAA-20 ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Day Edition1B product inputs Single Scanner Footprint (SSF) Edition1B footprint data. Within each footprint, all 1-km pixel-level VIIRS-retrieved cloud properties are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The VIIRS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a month.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

restrictednotspecifiedApr 2025View 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