15,921 to 15,930 of 16,240 Results
Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Unknown - 40 B -
MD5: 298df73b5a1c392b5b17c4ce26904215
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 819 B -
MD5: 5b46b4264acfc62e9d3abb47b254f8c5
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 5.9 KB -
MD5: be360cc7a260a6c7f0554dc06cb24042
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 1.7 KB -
MD5: 944da57768e7387b31125606182181e6
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Unknown - 296 B -
MD5: 2c64f372c34df4ba2fdd842e7e585df5
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 1.8 KB -
MD5: f2146b1319a4f136413b4673f57805e1
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 1.6 KB -
MD5: a7637c3ef2cde69ee73f9ad2d3dda91a
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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... |
JPEG Image - 1.1 MB -
MD5: a25f54b57b6bc74ac9f580728463464b
Picture of lidar on AV04 turbine |
Dec 2, 2021 - Density-driven dissolution of CO2 in karst water
Class, Holger; Bürkle, Pascal; Trötschler, Oliver; Zimmer, Martin; Strauch, Bettina, 2021, "Data for: On the role of density-driven dissolution of CO2 in karstification", https://doi.org/10.18419/DARUS-2040, DaRUS, V1, UNF:6:MLmw+UrdmPEjg9Db5HtPDw== [fileUNF]
Summary: Data of the "density-driven dissolution of CO2 in karst water" column experiment. A laboratory column was filled with tapwater (water level 5,55 m) and exposed it to an elevated gaseous CO2-concentration, roughly 50 times the current atmospheric concentration (20000 +/- 5000 ppm). After stripping the water with ambient air, it was initiall... |