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8,038 results for “Validity”

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nasa24/100

VIIRS/NPP BRDF/Albedo Valid Observation Band M11 Daily L3 Global 30ArcSec CMG V002

The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M11 product (VNP43D50) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the [VNP43MA2](https://doi.org/10.5067/VIIRS/VNP43MA2.002) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the [VNP43MA2](https://doi.org/10.5067/VIIRS/VNP43MA2.002) product page and in the Algorithm Theoretical Basis Document (ATBD).VNP43D50 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M11.Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue).Improvements/Changes from Previous Version* Improved calibration algorithm and better coefficients for entire Suomi NPP mission.* Improved geolocation accuracy and updates to fix outliers around maneuver periods and other events.* Corrections to the aerosol quantity flag (low, average, high) mainly over brighter surfaces in the mid to high latitudes such as desert and tropical vegetation areas. This has an impact on the retrieval of other downstream data products such as VNP13 Vegetation Indices and VNP43 BRDF/Albedo.* Improved cloud mask input product for corrections along coastlines and artifacts from use of coarse resolution climatology data.* Replaced the land/water mask input product with MODIS heritage seven class land/water mask.

restrictednotspecifiedApr 2025View details →
nasa24/100

GPM GROUND VALIDATION AUTONOMOUS PARSIVEL UNIT (APU) GCPEX V1

The GPM Ground Validation Autonomous Parsivel Unit (APU) GCPEx dataset was collected by the Autonomous Parsivel Unit (APU), which is an optical disdrometer that measures the size and fall velocity of single precipitation particles. The APU consists of the Parsivel (the precipitation measuring instrument), developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville. The GPM Cold-season Precipitation Experiment (GCPEx) addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. These data sets were collected to aid in the achievement of the over arching goal of GCPEx which is to characterize the ability of multi-frequency active and passive microwave sensors to detect and estimate falling snow. The APU dataset for GCPEx provides precipitation data including raindrop size, raindrop counts, precipitation drop size, precipitation rate, precipitation amount, and snowflake size, counts and distribution. The GCPEx APU data was collected from several sites in Canada during the Winter 2011-2012 period.

restrictednotspecifiedApr 2025View details →
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GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) HYMEX V1

The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) HyMeX data was collected during the HYdrological cycle in Mediterranean EXperiment (HyMeX), which provided data on raindrop size and precipitation drop size distribution. The 2DVD measured the size of raindrops and also recorded two side view optical images of each raindrop. Used for in situ measurements of precipitation drop size distribution, this instrument recorded orthogonal image projections of raindrops as they crossed its sensing area and provided velocity and shape of individual raindrops.The HyMeX 2DVD data were collected in France and Italy from September 12, 2012 to November 12, 2012. The data are in ASCII format.

restrictednotspecifiedApr 2025View details →
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GPM GROUND VALIDATION NOAA CPC MORPHING TECHNIQUE (CMORPH) IFLOODS

The GPM Ground Validation NOAA CPC Morphing Technique (CMORPH) IFloodS dataset consists of global precipitation analyses data produced by the NOAA Climate Prediction Center (CPC). The Iowa Flood Studies (IFloodS) campaign was a ground measurement campaign that took place in eastern Iowa from May 1 to June 15, 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth'ssurface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. The CPC morphing technique uses precipitation estimates from low orbiter satellite microwave observations to produce global precipitation analyses at a high temporal and spatial resolution. Data has been selected for the Iowa Flood Studies (IFloodS) field campaign which took place from April 1, 2013 to June 30, 2013. The dataset includes both the near real-time raw data and bias corrected data from NOAA in binary and netCDF format.

restrictednotspecifiedApr 2025View details →
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Arabian Sea bio-optical and biogeochemical data for ocean color validation

This project will collect high-quality, bio-optical, and biogeochemical data for validation of advanced satellite products from PACE OCI for the Arabian Sea, a highly under-sampled region of the worlds oceans, now experiencing dramatic ecosystem changes from human activities and climate-change. Over the past two decades, the base of the food chain of this monsoonal-driven ecosystem has transitioned from diatoms to one dominated by the mixotrophic dinoflagellate, Noctiluca scintillans (Noctiluca) that forms intense and widespread blooms visible from space. Capturing such phytoplankton transitions has been the pursuit of ocean color missions for more than three decades, and with its hyperspectral capabilities, NASAs PACE mission can now provide unprecedented insight into the response of phytoplankton communities to global pressures. Despite the dramatic rates at which the Arabian Sea has been changing, it remains among the most optically under-sampled of global water bodies. As part of this effort, we will leverage our long-standing ties with colleagues in India to collect high quality, high resolution (sub-pixel scale), continuous, underway and discrete bio-optical measurements to validate standard and advanced ocean products from PACE, essential to advance our understanding of vulnerable marine ecosystems and their response to anthropogenic change. As part of this activity, we plan to participate in one pre-monsoon cruise (2025) led by Space Applications Centre, ISRO, India, and two post-bloom ONR led cruises in April-May of 2024 and in April-May 2025. The pre-monsoon cruises are being undertaken as part of an Indo-US study focused on establishing triggers of the southwest monsoon rainfall season over the Indian sub-continent. Some of the data shared under this DOI is part of the Arabian Sea Marine environment through Science and Advanced Training (EKAMSAT) collaborative effort between the Ministry of Earth Sciences, Govt. of India and the Office of Naval Research. EKAMSAT commenced with a pilot study in June 2023. The pilot data is being archived under the SeaBASS experiment EKAMSAT_Pilot_ASTRAL (DOI: 10.5067/SeaBASS/EKAMSAT_Pilot_ASTRAL/DATA001) and can downloaded here: https://seabass.gsfc.nasa.gov/experiment/EKAMSAT_Pilot_ASTRAL.

restrictednotspecifiedApr 2025View details →
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GPM GROUND VALIDATION CARE SATELLITE OVERPASS IMAGES GCPEX V1

The GPM Ground Validation CARE Satellite Overpass GCPEx Images are the satellite overpass images for the GPM Cold-season Precipitation Experiment (GCPEx), which occurred in Ontario, Canada, January 15, 2012 through February 28, 2012. GCPEx addressed limitations in the GPM snowfall retrieval algorithm through the collection of microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. The satellite tracks include the DMSP satellite numbers 15, 16, 17, 18, and 19. A list of starting overpass times per satellite and day is included.

restrictednotspecifiedApr 2025View details →
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GPM GROUND VALIDATION DUAL POLARIZED C-BAND DOPPLER RADAR KING CITY GCPEX

The GPM Ground Validation Dual Polarized C-Band Doppler Radar King City GCPEx dataset has special Range Height Indicator (RHI) and sector scans of several dual polarization parameters, such as temperature and reflectivity, measured by the C-Band radar during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada. Additionally, specially configured Centre for Atmospheric Research Experiments (CARE)-centric composites were also generated. Standard King City Radar (WKR) Interactive Radar Information System (IRIS) volume and Plan Position Indicator (PPI) scans, along with corresponding standard PPI imagery, are also included. Data was collected from January 15, 2012 through March 3, 2012.

restrictednotspecifiedApr 2025View details →
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Global Navigation Satellite System (GNSS) IGS Weekly Ionosphere Vertical Total Electron Content (VTEC) Grid Validation Product from NASA CDDIS

This derived product set consists of Global Navigation Satellite System Ionosphere Vertical Total Electron Content (VTEC) comparison product (daily files) from the NASA Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. GNSS observations from a global network can be utilized for atmospheric measurements. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce independently computed VTEC maps. The IGS Ionosphere Analysis Center Coordinator (ACC) uses these individual AC solutions to generate the official IGS VTEC maps. The validation products are used to compare the IGS and AC solutions of generated VTEC maps. There are three types of ionosphere product evaluation/validation products: 1) the upcwWWWW.YYv.Z files provide an evaluation of the final weekly combination solution of VTEC maps with the individual analysis center contributions; 2) the gpsgDDD0.YYi.Z files are provided by the Center for Orbit Determinate (CODE) at the Astronomical Institute at the University of Bern (AIUB) Switzerland; these files contain GPS broadcast ionosphere model for day YYDDD; and 3) the ckmgDDD0.YYi.Z products are computed by CODE using their Klobuchar model, best fitting CODE’s final ionosphere solution, also available from the CDDIS.

restrictednotspecifiedApr 2025View details →
nasa24/100

GPM GROUND VALIDATION CONICAL SCANNING MILLIMETER-WAVE IMAGING RADIOMETER (COSMIR) MC3E

The GPM Ground Validation Conical Scanning Millimeter-wave Imaging Radiometer (COSMIR) MC3E dataset used the Conical Scanning Millimeter-wave Imaging Radiometer (CoSMIR), which was utilized during the Midlatitude Continental Convective Clouds Experiment (MC3E) served as an airborne high-frequency simulator of the GPM Microwave Imager (GMI), which launched in 2014. The CoSMIR was modified with a new scan mode to acquire both conical and cross-track scan data simultaneously in a given flight satisfying the requirements of the Precipitation Measurement Mission (PMM) algorithm development team. The dataset provides well-calibrated radiometric data from 9 channels between 50-183 GHz with the accuracy on the order of +-1K. All channels besides the 89 and 165.5 GHz are horizontally polarized.

restrictednotspecifiedApr 2025View details →
nasa24/100

Polarimetric Validation of the PACE Observatory

The Naval Research Laboratory (NRL) and the City College of New York (CCNY) operate a comprehensive suite of instrumentation to measure and characterize the uncertainty of polarized radiation, as well as particle size distributions (PSDs), particle shape characterization and imaging, advanced chlorophyll fluorescence analysis, and seawater inherent optical properties (IOPs) and constituents. Measured attenuation (c) and absorption (a) coefficients of water and the degree of linear polarization (DoLP) above the surface derived from measurements of polarized radiances at Hyper-Angular Research Polarimeter 2 (HARP2) wavelengths will be used for the validation of a newly developed neural network algorithm for the retrieval of the c/a ratio from combined Ocean Color Instrument (OCI) and HARP-2 measurements (Agagliate et al., Frontiers in Remote Sensing, 2023).

restrictednotspecifiedApr 2025View details →
nasa24/100

GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) PASSIVE MICROWAVE RADIOMETER AND SOIL MOISTURE-TEMPERATURE DATA GCPEX

The GPM Ground Validation Environment Canada (EC) Passive Microwave Radiometer and Soil Moisture-Temperature Data GCPEx dataset is consisted of data during the GPM Cold-season Precipitation Experiment (GCPEx) at the Centre for Atmospheric Research Experiments (CARE) site in Ontario, Canada during the winter season 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Data collected includes microwave brightness temperatures, snow and soil/snow-air interface (ground surface temperatures), soil surface temperatures, and soil volumetric water content. These data were acquired by multiple instruments: a passive microwave radiometer, a water content reflectometer, thermistors, soil moisture probe.

restrictednotspecifiedApr 2025View details →
nasa24/100

Validating PACE aerosol columnar properties and OCI water-leaving radiances from ground-based network spectroradiometer measurements

Multiple units of in-house built SMART-s (Spectral Measurements for Atmospheric Radiative Transfer-spectrometer, 330870 nm at ~0.8 nm resolution), as a part of NASA/Pandora network with extended spectral range, will be deployed to support PACE validation over oceanic waters (Eureka Oil Platform, CA; ~8 miles off the coast of Long Beach, CA) and seasonal transported Asian dust, southeastern biomass-burning smoke, and locally generated industrial air pollutants such as trace gases, precursors, and aerosols (Taiwan) sites. Specifically, we propose to accomplish the following two tasks:1. To evaluate OCI's atmospheric-corrected water-leaving radiance/reflectance: Since the scans of SMART-s are very flexible and programmable, we will initially adopt the AERONET-OC operational criteria (e.g., IOCCG, 2019; Zibordi et al., 2021) for data continuity and consistency checks; then, after accumulating enough lessons learned from SeaPRISM, the advantage of SMART-s spectrometry will help improving the spatial-spectral-temporal sampling efficiency and effectiveness for PACE/OCI intercomparison (validation) and application. These water-leaving radiance/reflectance will be integrated with OCI's spectral response functions to meet their spectral range (i.e., 17 bands in 350710 nm at 15 nm bandwidth; 665/678 nm at 10 nm bandwidth) and uncertainty requirements.2. To validate PACEs aerosol and cloud products: We will utilize well-calibrated SMART-s' direct-Sun and sky measurements with SMART-s published methods (Jeong et al., 2018, 2020, and 2022) to retrieve columnar properties of aerosols (e.g., spectral AOD, single-scattering albedo, and ngstrm exponent, fine-mode fraction of complex index of refraction) and abundance of trace gases (O3, NO2, H2Ovapor). By leveraging the assets of the upcoming 7-SEAS (Seven SouthEast Asian Studies, 20242026, Taiwan in collaborating NASA AERONET/ MPLNET) international field campaigns, SMART-s measurements can be maximized for improving scientific understanding and validating PACE/OCI products.

restrictednotspecifiedApr 2025View details →
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GPM GROUND VALIDATION HIGH ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) IPHEX V1

The GPM Ground Validation High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) IPHEx dataset was collected during the Global Precipitation Measurement (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The NASA ER-2 aircraft flew during the IPHEx field campaign to aid in GPM validation. The science instruments, including the HIWRAP, onboard the aircraft acted as a proxy for GPM satellite instruments. HIWRAP is a Doppler radar that combines conical scan mode measurements at two different frequency bands (Ka- and Ku-band) and two different incidence angles (30 and 40 degrees). Twenty-one ER-2 flights occurred from May 1, 2014 through June 14, 2014. The HIWRAP dataset includes netCDF-4 files containing radar reflectivity and Doppler velocity profiles along with aircraft altitude and other navigation information.

restrictednotspecifiedApr 2025View details →
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GPM GROUND VALIDATION CAMPAIGN REPORTS IFLOODS V1

The GPM Ground Validation Campaign Reports IFloodS dataset consists of various reports filed by the scientists during the GPM Ground Validation Iowa Flood Studies (IFloodS) Field Experiment, which took place from April to mid-June 2013 in Iowa. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. Included in this dataset are Mission Scientist, Instrument Scientists, and Weather Forecasts. Many reports have additional information included as attachments.

restrictednotspecifiedApr 2025View details →
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VIIRS/NPP BRDF/Albedo Valid Observation Band M2 Daily L3 Global 30ArcSec CMG V002

The NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M2 product (VNP43D43) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VNP43D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VNP43D product contains just one data layer for each of the parameters included in the [VNP43MA2](https://doi.org/10.5067/VIIRS/VNP43MA2.002) product. VNP43D40 through VNP43D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the [VNP43MA2](https://doi.org/10.5067/VIIRS/VNP43MA2.002) product page and in the Algorithm Theoretical Basis Document (ATBD). VNP43D43 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M2.Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue).Improvements/Changes from Previous Version* Improved calibration algorithm and better coefficients for entire Suomi NPP mission.* Improved geolocation accuracy and updates to fix outliers around maneuver periods and other events.* Corrections to the aerosol quantity flag (low, average, high) mainly over brighter surfaces in the mid to high latitudes such as desert and tropical vegetation areas. This has an impact on the retrieval of other downstream data products such as VNP13 Vegetation Indices and VNP43 BRDF/Albedo.* Improved cloud mask input product for corrections along coastlines and artifacts from use of coarse resolution climatology data.* Replaced the land/water mask input product with MODIS heritage seven class land/water mask.

restrictednotspecifiedApr 2025View details →
nasa24/100

GPM Ground Validation National Mosaic and Multi-Sensor QPE (NMQ) System IPHEx

The GPM Ground Validation National Mosaic and Multi-Sensor QPE (NMQ) System IPHEx dataset consists of six different data products: precipitation rate, hourly rainfall accumulation, daily rainfall accumulation, hybrid scan reflectivity, three-dimensional reflectivity, and vertically integrated liquid content estimates. These data products were created using the NOAA NMQ System which ingests Weather Surveillance Radar 88 Doppler (WSR-88D) radar data, Rapid Update Cycle (RUC) model analysis fields, and Hydrometeorological Automated Data Systems (HADS) gauge data. The files provided in this dataset are from system output during the GPM Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign that occurred in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina. These data are available in ASCII and netCDF-4 formats for dates between April 30, 2014 through June 16, 2014.

restrictednotspecifiedApr 2025View details →
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Pace Validation Science Team: Particles and Biological Rates

The project is focused on data collection for the NASA PACE validation efforts. Specifically, our core targeted observables are phytoplankton carbon biomass (Cphyto), total particulate organic carbon (POC) concentration, net primary production (NPP), and chlorophyll fluorescence quantum yields (Ïf) as well and inherent optical properties and radiometry.

restrictednotspecifiedAug 2025View details →
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GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA HYMEX V1

The GPM Ground Validation NASA Micro Rain Radar (MRR) HyMeX is a vertically pointing Doppler radar that obtained measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor during the HYdrological cycle in Mediterranean EXperiment (HyMeX) campaign. The HYdrological cycle in Mediterranean EXperiment (HyMeX) aimed to improve the understanding, quantification and modelling of the hydrological cycle in the Mediterranean, with emphasis on the predictability and evolution of extreme weather events, inter-annual to decadal variability of the Mediterranean coupled system, and associated trends in the context of global change. Furthermore, this campaign aimed to improve observational and modelling systems, better predict extreme events, simulate the long-term water-cycle, and provide guidelines for adaptation measures. Special Observation Period 1 (SOP1), which was from September 5 to November 6, 2012, was dedicated to heavy precipitation and flash-flooding. More information about HyMeX is available at http://www.hymex.org/.

restrictednotspecifiedApr 2025View details →
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TRMM Ground Validation Calibrated QC Radar Reflectivity Full Volume Scan L1C 1 hour V7 (TRMM_1C51) at GES DISC

The purpose of the 1C51 algorithm is to remove non-meteorological radar echoes that adversely affect the quality of higher level products, such as clutter associated with insects, birds, chaff, wildfires, antenna towers, and anomalous propagation (AP). Eight adjustable parameters, three echo height thresholds and five radar reflectivity thresholds, are used to optimize the performance of the algorithm. Optimum performance is time consuming and requires an analyst to select different sets of parameters on a per volume scan basis, and on occasions performing several iterations while adjusting one or more of the parameters. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: + Darwin, Australia; + Houston, Texas; + Kwajalein, Republic of the Marshall Islands; + Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.

restrictednotspecifiedMar 2025View details →
nasa24/100

GPM GROUND VALIDATION NOAA UHF 449 PROFILER MC3E V1

The GPM Ground Validation NOAA UHF 449 Profiler MC3E dataset was collected during the NASA supported Midlatitude Continental Convective Clouds Experiment (MC3E). The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. The Ultra High Frequency 449 MHz profiler was one of three NOAA deployed instruments which also included a Parsivel and a 2.8 GHz profiler (S-Band). The 449 MHz profiler raw data files provide estimates of the vertical air motion during precipitation from near the surface to just below the freezing level. Used together with the S-band profiler, vertical profiles of raindrop size distributions can be retrieved. The raw 449MGx profiler data consists of uncalibrated Doppler velocity spectra data in units of relative power return.

restrictednotspecifiedMar 2025View 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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