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.
54
datasets available to search
ShareScore release 0.9.0
Dataset results
54 results for “Doppler lidar”
The diurnal cycle of the horizontal wind field over complex terrain detected with coplanar Doppler lidar scans
<p>This data set contains a 24-h movie (21:00 UTC 23 July to 21:00 UTC 24 July) of the horizontal wind field in a horizontal plane of about 5 km x 5 km in size about 62 m above the city of Stuttgart in south-western Germany. The horizontal wind fields are retrieved from coplanar horizontal scans from three Doppler lidars positioned on opposing slopes and are available with 1-min temporal resolution and 100 m horizontal resolution. The data shows the diurnal cycle of the horizontal wind. During nighttime, downvalley wind establishes in the Neckar Valley and during daytime convective cells moving downstream are visible.<br> The measurements were conducted within the the framework of the Urban Climate under Change [UC]^2 program.</p>
SJSU Doppler Lidar Data
<p>Continuous scanning mode (CSM) data files from a Halo Photonics Doppler lidar</p>
Doppler lidar measurements from Abrego lidar at IPPT PAN (Warsaw)
<p>This is data set includes Doppler wind lidar measurements performed between 14/06/2023 and 03/07/2023 at the rooftop of IPPT PAN (Warsaw, Poland; 52.2067ºN, 20.9811ºE, 134 m a.s.l.) in the framework of PURER-EXP campaign (Polish NCN, PURER-SENS project 2021/40/C/ST10/00023).</p> <p>The system Abrego is a Doppler lidar Stream Line (Halo Photonics), belonging to PI Lucas Alados-Arboledas from the University of Granada (Spain), which is part of ACTRIS-Cloudnet (Illingworth et al., 2007). The system laser emits at 1.5 μm and the detector is heterodyne using fiber-optic technology. The measurements for this data set consisted of continuous vertical measurements with a resolution of 30 m and 1 s in space and time, interrupted by step-stare conical scans with constant elevation of 70° and 12 equidistant azimuth points performed every 30 min, followed by continuous-mode conical sector scans with an elevation of 70° and azimuth angle resolution of 0.88°, and continuous-mode RHI scan with an azimuth of 12.8° and elevation angle resolution of 0.89°.</p> <p> For more details about the campaign and the measurements please contact P. Ortiz-Amezcua (portizamezcua@outlook.com)</p>
GRIP DOPPLER AEROSOL WIND LIDAR (DAWN) V1
The GRIP Doppler Aerosol WiNd Lidar (DAWN) Dataset was collected by the Doppler Aerosol WiNd (DAWN), a pulsed lidar, which operated aboard a NASA DC-8 aircraft during the Genesis and Rapid Intensification Processes (GRIP) field campaign. he major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida ( DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk). Data values include Line-of-Sight (LOS) Winds, calculated vertical profiles of horizontal wind velocity, frequency-domain signal energy and time versus latitude and longitude. Instrument details can be found in the dataset documentation. Data was gathered during August 24, 2010 thru September 22, 2010 over the Atlantic Ocean.
Data from Doppler-Wind Lidar (DWL) measurements at Paris – Arboretum (PAARBO) from 2023-07-27 to 2023-09-13 [RAW]
<p>Original data files from DWL measurements at the arboretum de Vallée-aux-Loups (Département 92) in the built-up area in the SW of Greater Paris.</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – Chemin Vert Bobigny (PACHEM) from 2023-08-03 to 2024-03-04 [RAW]
<p>Original data files from doppler wind lidar (DWL) measurements at Paris–Chemin Vert Bobigny in the NE of built-up Greater Paris.</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – SIRTA Atmospheric Observatory (PASIRT) from 2022-11-10 to 2024-02-02 [RAW]
<p>Original data files from DWL measurements at Paris–SIRTA Atmospheric Observatory in Palaiseau. Due to technical problems with the instrument, this dataset is likely flawed / problematic. Therefore access is restricted. </p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – LISA Université Paris Diderot (PALUPD) from 2023-06-13 to 2024-02-07 [RAW]
<p>Original data files from DWL measurements at the LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques) observatory site in the city centre of Paris (Université Paris Cité).</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – Arboretum (PAARBO) from 2023-09-13 to 2024-03-05 [RAW]
<p>Original data files from DWL measurements at the arboretum de Vallée-aux-Loups (Département 92) in the built-up area in the SW of Greater Paris.</p>
Turbulence and winds based on Doppler lidar collected at Xiaomai Island, Qingdao, Shandong, China, from October 2021 to April 2023.
<p>This dataset presents gust and turbulence parameters collected with Doppler lidar. The data were collected from October 2021 to April 2023 at Xiaomai Island, Qingdao, Shandong, China. The parameters include 10-minute average wind speed, peak gust, gust factor, gust amplitude, turbulence intensity, turbulent kinetic energy, friction velocity, drag coefficient, roughness length and energy flux.</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – LISA Université Paris Diderot (PALUPD) from 2022-11-29 to 2023-06-13 [RAW]
<p>Original data files from DWL measurements at the LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques) observatory site in the city centre of Paris (Université Paris Cité).</p>
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Wilmersdorf (BEWILM) from 2021-09-08 to 2022-10-01 [RAW]
<p>Original data files from DWL measurements. Original data files from scanning DWL measurements on a roof in Berlin–Wilmersdorf located in the SW of the urban area of Berlin, Germany</p>
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Schöneberg (BESCHO) from 2022-06-28 to 2022-10-05 [RAW]
<p>Original data files from scanning DWL measurements on a roof in Berlin–Schöneberg located in the city centre of Berlin, Germany</p>
SBU Doppler LiDAR IMPACTS V1
The SBU Doppler LiDAR IMPACTS dataset consists of Doppler velocity and backscatter intensity from the Stony Brook University (SBU) Doppler LiDAR. These data were collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign 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 dataset files are available in netCDF-4 format from January 1 through February 26, 2020.
CPEX-AW DAWN Doppler Aerosol WiNd Lidar
CPEXAW-DAWN_DC8_1 are the Doppler Aerosol WiNd lidar (DAWN) image and NetCDF data files collected during the Convective Processes Experiment - Aerosols & Winds (CPEX-AW) onboard the DC-8 aircraft. Data collection for this product is complete.The Convective Processes Experiment – Aerosols & Winds (CPEX-AW) campaign was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix. CPEX-AW is a follow-on to the Convective Processes Experiment (CPEX) field campaign which took place in the summer of 2017. In addition to joint calibration/validation of ADM-AEOLUS, CPEX-AW studied the dynamics related to the Saharan Air Layer, African Easterly Waves and Jets, Tropical Easterly Jet, and deep convection in the InterTropical Convergence Zone (ITCZ). CPEX-AW science goals include:• Better understanding interactions of convective cloud systems and tropospheric winds as part of the joint NASA-ESA Aeolus Cal/Val effort over the tropical Atlantic;• Observing the vertical structure and variability of the marine boundary layer in relation to initiation and lifecycle of the convective cloud systems, convective processes (e.g., cold pools), and environmental conditions within and across the ITCZ;• Investigating how the African easterly waves and dry air and dust associated with Sahara Air Layer control the convectively suppressed and active periods of the ITCZ;• Investigating interactions of wind, aerosol, clouds, and precipitation and effects on long range dust transport and air quality over the western Atlantic.In order to successfully achieve the objectives of the campaign, NASA deployed its DC-8 aircraft equipped with an Airborne Third Generation Precipitation Radar (APR-3), Doppler Aerosol WiNd Lidar (DAWN), High Altitude Lidar Observatory (HALO), High Altitude Monolithic Microwave Integrated Circuit (MMIC) Sounding Radiometer (HAMSR), and dropsondes. This campaign aims to provide useful material to atmospheric scientists, meteorologists, lidar experts, air quality experts, professors, and students. The Atmospheric Science Data Center (ASDC) archives the dropsonde, HALO, and DAWN data products for CPEX-AW. For additional datasets please visit the Global Hydrometeorology Resource Center (GHRC).
First ISCCP Regional Experiment (FIRE) Cirrus Phase II NOAA Carbon Dioxide (CO2) Doppler & Lidar
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 improve 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 observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.The Doppler lidar data set includes wind profiles derived by the VAD method for the FIRE-II top 5 priority days (21,25,28,30 of Nov. 1991, and Dec. 5, 1991). Vertical profiles of the horizontal wind speed and direction were acquired by the lidar using a classical method commonly referred to as the VAD technique, where VAD stands for Velocity Azimuth Display.The Doppler lidar experiment objective was to obtain lidar measurements of relative backscatter signal intensity and radial velocity from cirrus clouds to study their microphysical and radiative properties. This data set provides vertical profiles (approx. 1.5 - 20.0 km agl).
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Rothenburgstrasse (BEROTH) from 2022-10-06 to 2022-10-24 [RAW]
<p>Original data files from DWL measurements.</p>
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Rothenburgstrasse (BEROTH) from 2022-10-05 to 2022-10-24 [RAW]
<p>Original data files from DWL measurements.</p>
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Friedrichstadt (BEFRIE) from 2021-07-15 to 2022-10-01 [RAW]
<p>Original data files from DWL measurements.</p> <p> </p> Part 1 of 2.
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Lichtenberg (BELICH) from 2021-08-25 to 2022-10-01 [RAW]
<p>Original data files from DWL measurements.</p> Part 2 of 2.
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.