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Dataset . 2022
License: CC BY
Data sources: Datacite
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Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Data set from long-term wind and acceleration monitoring of the Gjemnessund Bridge

Authors: Kvåle, Knut Andreas; Fenerci, Aksel; Petersen, Øyvind Wiig; Rønnquist, Anders; Øiseth, Ole;

Data set from long-term wind and acceleration monitoring of the Gjemnessund Bridge

Abstract

The Gjemnessund Bridge has been monitored by accelerometers and anemometers for almost ten years. The data collected between 2013 and 2018 are now available in this open-access research entry, for free access and download. The data is collected in two h5-files (hierachical data format), with sampling rates 2 Hz and 10 Hz, downsampled from the raw sampling rate of 200 Hz. Some minimal signal processing is applied to the data in line with that applied to the Hardanger Bridge data described in Fenerci et al. (2021) and the Bergsøysund Bridge data described in Kvåle et al. (2022). The structure of the data is identical to that of the latter reference, which is described in a preprint appended to that research entry. The Python package opyndata available on GitHub contains useful tools compatible with the format of the dataset, for data import, processing and visualization.

{"references": ["Kv\u00e5le, Knut Andreas, Fenerci, Aksel, Petersen, \u00d8yvind Wiig, R\u00f8nnquist, Anders, & \u00d8iseth, Ole. (2022). Data set from long-term wave, wind and response monitoring of the Bergs\u00f8ysund Bridge [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6065165", "A. Fenerci, K. Andreas Kv\u00e5le, \u00d8. Wiig Petersen, A. R\u00f8nnquist, and O. \u00d8iseth, \"Data Set from Long-Term Wind and Acceleration Monitoring of the Hardanger Bridge,\" J. Struct. Eng., vol. 147, no. 5, p. 04721003, 2021, doi: 10.1061/(asce)st.1943-541x.0002997.", "K. A. Kv\u00e5le. (2022). knutankv/opyndata: Initial release, available on Zenodo (v0.0.2). Zenodo. https://doi.org/10.5281/zenodo.5978358"]}

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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