91 to 100 of 1,097 Results
Oct 27, 2025 - Institut für Informatik
Kaiser, Lennart, 2025, "Replication Data for: A Long-Term Evaluation of Soil Moisture Sensing Based on Wireless Communication", https://doi.org/10.26249/FK2/PPCURE, osnaData, V2
This dataset contains multiple-month time series data of various radio technology parameters, such as the Received Signal Strength Indicator (RSSI) value, in combination with soil and environmental data captured by a local sensor. Also take a look at the data from the Froggit DP2... |
Oct 27, 2025 -
Replication Data for: A Long-Term Evaluation of Soil Moisture Sensing Based on Wireless Communication
Markdown Text - 3.3 KB - MD5: c88145bf5cda50f6b849371479d09877
README with the description of the dataset |
Sep 22, 2025 - Institut für Informatik
Zimmermann, Till; Laniewski, Dominic; Lanfer, Eric; Thieme, Stefanie; Wintering, Nikolas; Aschenbruck, Nils, 2025, "Measurement: Parallel Starlink Throughput", https://doi.org/10.26249/FK2/LBEU5S, osnaData, V1
This dataset contains measurement data from throughput and ping measurements within the starlink LEO network using seven parallel links. The corresponding Article in whose context this dataset was collected is: Zimmermann, T., Laniewski, D., Lanfer, E., Thieme, S., Wintering, N.,... |
Sep 22, 2025 -
Measurement: Parallel Starlink Throughput
JSON - 25.5 MB - MD5: a672f07e7ef32991748f24c1643eb399
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Sep 22, 2025 -
Measurement: Parallel Starlink Throughput
Unknown - 817.1 KB - MD5: 551d04040a635a7f55db87af2621b5cb
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Sep 22, 2025 -
Measurement: Parallel Starlink Throughput
JSON - 25.9 MB - MD5: f2ba77e9346342fd94466b69c961b18e
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Sep 22, 2025 -
Measurement: Parallel Starlink Throughput
Unknown - 829.6 KB - MD5: 9ea14ecfbb5f04f4cc1afcba05160eb3
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Sep 22, 2025 -
Measurement: Parallel Starlink Throughput
JSON - 25.4 MB - MD5: 221e6b23a10c3d97eb18ba3922314bc6
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Sep 22, 2025 -
Measurement: Parallel Starlink Throughput
Unknown - 836.0 KB - MD5: 0e49fa75139007a10b7e1771ab8f429b
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Sep 22, 2025 -
Measurement: Parallel Starlink Throughput
JSON - 25.2 MB - MD5: e8d76d92e443b8dbf252ecd7f7dbabbe
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