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51 to 60 of 336 Results

User1_157_20241121_122826.csv Dec 2, 2024 - Lidar_StreamlineXR_Starring_Winset_Test_Site Comma Separated Values - 5.3 MB - MD5: feb95d56db51272cef8610eb3bc9dadc
User1_157_20241121_123056.csv Dec 2, 2024 - Lidar_StreamlineXR_Starring_Winset_Test_Site Comma Separated Values - 5.3 MB - MD5: 2d378f185503cdf82ff683f9181aca3b
ANDroMeDA_UAV01_WINSENT_Test_Site Dec 2, 2024 - ANDroMeDA Schurig, Fabian, 2024, "ANDroMeDA_UAV01_WINSENT_Test_Site", https://doi.org/10.18419/DARUS-4602, DaRUS, V1, UNF:6:gYrObDVqHxuwnkiYum6qIw== [fileUNF] Data collected with the ANDroMeDA-UAV. The measurement system for the wind speed consists of hot wires paired with a pitot tube to obtain a 3d wind vector. The data is consists of wind speeds (total, u, v, w, angle), GPS location, Height (Ground, AMSL) and the location in the local coordinate system. The local coordinate system is referenced to the...
20241121_103159_UAV01.tab Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site Tabular Data - 2.6 MB - 17 Variables, 9244 Observations - UNF:6:/6CK/Bzk6J/FFGkejb+YqA==
20241121_105451_UAV01.tab Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site Tabular Data - 3.1 MB - 17 Variables, 10887 Observations - UNF:6:l1ses8aepIUmwCf/pgp3Qw==
20241121_111409_UAV01.tab Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site Tabular Data - 3.6 MB - 17 Variables, 12746 Observations - UNF:6:mcvxoD6nhVnRdrOytIWYPg==
20241121_114450_UAV01.tab Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site Tabular Data - 3.3 MB - 17 Variables, 11764 Observations - UNF:6:n5DR/u267iDghqRDE+OM8Q==
20241121_120453_UAV01.tab Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site Tabular Data - 1.7 MB - 17 Variables, 6087 Observations - UNF:6:GkVBGXKTeH5n9u1rEwTRCw==
20241121_121753_UAV01.tab Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site Tabular Data - 2.5 MB - 17 Variables, 8696 Observations - UNF:6:Td6L1kzMM7KjbgTxJTahlg==
Scanning wind lidar dataset from the alpha ventus wind farm Jan 2, 2022 - ParkCast Würth, Ines; Wigger, Maayen; Berlinger, Philipp, 2022, "Scanning wind lidar dataset from the alpha ventus wind farm", https://doi.org/10.18419/DARUS-2298, DaRUS, V1 In the nationally funded project ParkCast new methods for short-term power prediction for offshore wind farms will be developed, optimized and evaluated. The power forecasts focus on the time range up to 60 minutes with high temporal resolution. The aim is to significantly improve the temporal resolution and prediction quality of the park power in...

User1_157_20241121_122826.csv

Dec 2, 2024 - Lidar_StreamlineXR_Starring_Winset_Test_Site

Comma Separated Values - 5.3 MB -

User1_157_20241121_123056.csv

Dec 2, 2024 - Lidar_StreamlineXR_Starring_Winset_Test_Site

Comma Separated Values - 5.3 MB -

ANDroMeDA_UAV01_WINSENT_Test_Site

Dec 2, 2024 - ANDroMeDA

Schurig, Fabian, 2024, "ANDroMeDA_UAV01_WINSENT_Test_Site", https://doi.org/10.18419/DARUS-4602, DaRUS, V1, UNF:6:gYrObDVqHxuwnkiYum6qIw== [fileUNF]

Data collected with the ANDroMeDA-UAV. The measurement system for the wind speed consists of hot wires paired with a pitot tube to obtain a 3d wind vector. The data is consists of wind speeds (total, u, v, w, angle), GPS location, Height (Ground, AMSL) and the location in the local coordinate system. The local coordinate system is referenced to the...

20241121_103159_UAV01.tab

Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site

Tabular Data - 2.6 MB - 17 Variables, 9244 Observations -

20241121_105451_UAV01.tab

Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site

Tabular Data - 3.1 MB - 17 Variables, 10887 Observations -

20241121_111409_UAV01.tab

Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site

Tabular Data - 3.6 MB - 17 Variables, 12746 Observations -

20241121_114450_UAV01.tab

Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site

Tabular Data - 3.3 MB - 17 Variables, 11764 Observations -

20241121_120453_UAV01.tab

Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site

Tabular Data - 1.7 MB - 17 Variables, 6087 Observations -

20241121_121753_UAV01.tab

Dec 2, 2024 - ANDroMeDA_UAV01_WINSENT_Test_Site

Tabular Data - 2.5 MB - 17 Variables, 8696 Observations -

Scanning wind lidar dataset from the alpha ventus wind farm

Jan 2, 2022 - ParkCast

Würth, Ines; Wigger, Maayen; Berlinger, Philipp, 2022, "Scanning wind lidar dataset from the alpha ventus wind farm", https://doi.org/10.18419/DARUS-2298, DaRUS, V1

In the nationally funded project ParkCast new methods for short-term power prediction for offshore wind farms will be developed, optimized and evaluated. The power forecasts focus on the time range up to 60 minutes with high temporal resolution. The aim is to significantly improve the temporal resolution and prediction quality of the park power in...

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