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.
95
datasets available to search
ShareScore release 0.9.0
Dataset results
95 results for “ceilometer”
Data from Automatic Lidar and Ceilometer (ALC) measurements at Paris – Bonneil (PABONN) from 2022-12-19 to 2024-01-30 [RAW]
<p>Original data files from ALC measurements at Paris - Bonneil (Département 02) in the rural area to the E of Greater Paris.</p>
Data from Automatic Lidar and Ceilometer (ALC) measurements at Paris – Chamant (PACHAM) from 2022-11-25 to 2024-02-22 [RAW]
<p>Original data files from ALC measurements at Chamant (Département 60) in the rural area to the NNE of Greater Paris.</p> <p>Part 2 of 3.</p>
Data from Automatic Lidar and Ceilometer (ALC) measurements at Paris – Aunay (PAAUNA) from 2023-02-23 to 2024-02-19 [RAW]
<p>Original data files from ALC measurements at Aunay-sous-Auneau (Département 28) in the rural area to the SW of Greater Paris.</p> <p>Part 2 of 2.</p>
Data from Automatic Lidar and Ceilometer (ALC) measurements at Paris – Roissy (PAROIS) from 2023-06-26 to 2024-02-22 [RAW]
<p>Original data files from ALC measurements at Paris - Roissy Charles de Gaulle Airport.</p> <p>Measurements were taken on the N roof terrace of the Meteo France Building at Roissy Charles de Gaulle Airport / Rue du Moulin (ID 95527001) in the NE of the built-up area of Greater Paris.</p> <p>Part 1 of 2.</p>
Data from Automatic Lidar and Ceilometer (ALC) measurements at Paris – SIRTA Atmospheric Observatory (PASIRT) from 2023-08-22 to 2024-02-28 [RAW]
<p>Original data files from ALC measurements at at Paris–SIRTA Atmospheric Observatory.</p> <p>Part 1 of 2.</p>
Data from Automatic Lidar and Ceilometer (ALC) measurements at Paris – Roissy (PAROIS) from 2023-06-26 to 2024-02-22 [RAW]
<p>Original data files from ALC measurements at Paris - Roissy Charles de Gaulle airport.</p> <p>Measurements were taken on the N roof terrace of the Meteo France Building at Roissy Charles de Gaulle Airport / Rue du Moulin (ID 95527001) in the NE of the built-up area of Greater Paris.</p> <p>Part 2 of 2.</p>
Data from Automatic Lidar and Ceilometer (ALC) measurements at Paris – Créteil (PACRET) from 2022-12-14 to 2024-01-29 [RAW]
<p>Original data files from ALC measurements at Paris–Créteil (PACRET) at the Maison des Sciences de l'Environnement on the campus of the Université Paris-Est located in the SE of the Greater Paris built-up area (Département 94).</p>
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) PSU Santa Maria Ceilometer Data
The First ISCCP Regional Experiments (FIRE) have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the International Satellite Cloud Climatology Project (ISCCP) data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation (IFO) periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) Colorado State University (CSU) Ceilometer Data (FIRE_AX_CSU_CEILOM)
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data.To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987) a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observationswith modeling studies to investigate the cloud properties and physical processes of the cloud system.The Belfort Laser Ceilometer was operated during FIRE ASTEX on Porto Santo, Madeira. It utilized a 20 watt near-infrared Gallium-Arsenide laser operating at a wavelength of 0.91 microns to detect cloud base height. It employed 1024 range gates which yield a vertical resolution of 25 feet up to a maximum range of 25,600 feet. The fields of view of the transmitter and receiver are approximately 1 degree.The ceilometer used a measured noise level to determine a count (-1,0,1) which is then summed for each gate. This histogram is the basic output from which the cloud base height is estimated.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) PSU Valdivia Ceilometer Data
The First ISCCP Regional Experiments (FIRE) have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the International Satellite Cloud Climatology Project (ISCCP) data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation (IFO) periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.
SBU Ceilometers IMPACTS
The SBU Ceilometers IMPACTS dataset includes ceilometer cloud height measurements collected by the Vaisala CL51, Vaisala CT25K, and Lufft Ceilometer CHM 15k ceilometers operated by the State University of New York (SUNY) Stony Brook University. These data were collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign, a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The ceilometer dataset files are available from January 1, 2020, through March 2, 2023, in netCDF-3 and netCDF-4 formats.
OWLETS-2 Ceilometer Aerosol Data
OWLETS2_Aerosol_Data_1 is the Ozone Water-Land Environmental Transition Study (OWLETS-2) aerosol data collected at various ground sites during the OWLETS-2 field campaign via ceilometers and PILS-IC. OWLETS was supported by the NASA Science Innovation Fund (SIF). Data collection is complete.Coastal regions have typically posed a challenge for air quality researchers due to a lack of measurements available over water and water-land boundary transitions. Supported by NASA’s Science Innovation Fund (SIF), the Ozone Water-Land Environmental Transition Study (OWLETS) field campaign examined ozone concentrations and gradients over the Chesapeake Bay from July 5, 2017 – August 3, 2017, with twelve intensive measurement days occurring during this time period. OWLETS utilized a unique combination of instrumentation, including aircraft, TOLNet ozone lidars (NASA Goddard Space Flight Center Tropospheric Ozone Differential Absorption Lidar and NASA Langley Research Center Mobile Ozone Lidar), UAV/drones, ozonesondes, AERONET sun photometers, and mobile and ship-based measurements, to characterize the land-water differences in ozone and other pollutants. Two main research sites were established as part of the campaign: an over-land site at NASA LaRC, and an over-water site at the Chesapeake Bay Bridge Tunnel. These two research sites were established to provide synchronous vertical measurements of meteorology and pollutants over water and over land. In combination with mobile observations between the two sites, pollutant gradients were able to be observed and used to better understand the fundamental processes occurring at the land-water interface. OWLETS-2 was completed from June 6, 2018 – July 6, 2018 in the upper Chesapeake Bay region. Research sites were established at the University of Maryland, Baltimore County (UMBC), Hart Miller Island (HMI), and Howard University Beltsville (HUBV), with HMI representing the over-water location and UMBC and HUBV representing the over-land sites. Similar measurements were carried out to further characterize water-land gradients in the upper Chesapeake Bay. The measurements completed during OWLETS are of importance in enhancing air quality models, and improving future satellite retrievals, particularly, NASA’s Tropospheric Emissions: Monitoring of Pollution, which is scheduled to launch in 2022.
First ISCCP Regional Experiment (FIRE) Marine Stratocumulus Ceilometer and Cross-chain Loran Atmospheric Sounding System (CLASS) Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.These data were collected during the FIRE Marine Stratocumulus experiment on San Nicolas Island, California. They are as follows: cloud base height data measured with a ceilometer; processed CLASS sounding (CSD) data up to 2 kilometers (thermodynamic data only), raw CSD recorded at 3.3 second intervals (thermodynamic data only), and raw CSD at 10 second intervals (thermodynamic and wind data).
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) PSU Malcolm Baldridge Ceilometer Data
The First ISCCP Regional Experiments (FIRE) have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the International Satellite Cloud Climatology Project (ISCCP) data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation (IFO) periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.
GPM GROUND VALIDATION VAISALA CEILOMETER IPHEx V1
The GPM Ground Validation Vaisala Ceilometer IPHEx dataset consists of vertical profiles of attenuated backscatter and cloud base and boundary layer height data gathered during the Global Precipitation Mission (GPM) Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) 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 during an intense study period from May 1 through June 15, 2014. This dataset includes data from the Vaisala Ceilometer CL51 which is part of the NASA Goddard Space Flight Center (GSFC) Aerosol-Cloud-Humidity Interactions Exploring and Validating Enterprise (ACHIEVE) ground-based mobile laboratory. It measures vertical profiles of aerosol backscatter and performs a retrieval of cloud base detection and boundary layer structure. The data files are available from May 6 through June 16, 2014 in netCDF-3 format.
Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Rothenburgstrasse (BEROTH) from 2021-06-30 to 2021-08-23 [RAW]
<p>Original data files from ALC measurements.</p>
Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Tempelhof (BETEMP) from 2022-03-21 to 2022-06-14 [RAW]
<p>Original data files from ALC measurements.</p>
Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Rothenburgstrasse (BEROTH) from 2021-07-01 to 2021-11-02 [RAW]
<p>Original data files from ALC measurements.</p>
Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Westend (BEWEST) from 2021-09-24 to 2022-10-02 [RAW]
<p>Original data files from ALC measurements.</p>
Data from Automatic Lidar and Ceilometer (ALC) measurements at Berlin – Rothenburgstrasse (BEROTH) from 2021-08-24 to 2021-08-25 [RAW]
<p>Original data files from ALC measurements.</p>
ScienceDex guides
Understand access before you commit
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.