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Latest recordings for Stenpiren

57.7061124132, 11.957438517411365

Gothenburg, Sweden

Measurement (dB)
Date and time
9.303199
2023-05-22T12:18:55.333Z
16.63
2023-05-22T12:18:55.248Z
12.20339
2023-05-22T12:18:55.247Z
14.42284
2023-05-22T12:18:55.245Z
16.0633
2023-05-22T12:18:55.241Z
7.739937
2023-05-22T12:18:55.238Z
13.3561
2023-05-22T12:18:55.231Z
6.469678
2023-05-22T12:18:55.231Z
12.8315
2023-05-22T12:18:55.228Z
5.201173
2023-05-22T12:18:55.225Z
13.24907
2023-05-22T12:18:55.221Z
10.58048
2023-05-22T12:18:55.213Z
13.18767
2023-05-22T12:18:55.212Z
11.42966
2023-05-22T12:18:55.210Z
13.48242
2023-05-22T12:18:55.209Z
15.47729
2023-05-22T12:18:55.208Z
16.53876
2023-05-22T12:18:55.208Z
13.72454
2023-05-22T12:18:55.205Z
13.08415
2023-05-22T12:18:55.194Z
12.51394
2023-05-22T12:18:55.143Z
11.83144
2023-05-22T12:18:35.432Z
8.385594
2023-05-22T12:18:35.291Z
11.69458
2023-05-22T12:18:35.289Z
9.31548
2023-05-22T12:18:35.255Z
10.13308
2023-05-22T12:18:35.234Z
12.17356
2023-05-22T12:18:35.217Z
7.859244
2023-05-22T12:18:35.211Z
8.615435
2023-05-22T12:18:35.209Z
11.6209
2023-05-22T12:18:35.206Z
11.93671
2023-05-22T12:18:35.203Z
118.6139
2023-05-22T12:18:35.202Z
11.72266
2023-05-22T12:18:35.199Z
7.011819
2023-05-22T12:18:35.189Z
5.362587
2023-05-22T12:18:35.188Z
11.32614
2023-05-22T12:18:35.188Z
8.854046
2023-05-22T12:18:35.184Z
10.81032
2023-05-22T12:18:35.182Z
11.69458
2023-05-22T12:18:35.175Z
6.134568
2023-05-22T12:18:35.174Z
5.076603
2023-05-22T12:18:35.173Z
14.89129
2023-05-22T12:19:53.349Z
12.81396
2023-05-22T12:19:53.337Z
8.848783
2023-05-22T12:19:53.334Z
13.25083
2023-05-22T12:19:53.331Z
17.39145
2023-05-22T12:19:53.326Z
15.50536
2023-05-22T12:19:53.321Z
14.10176
2023-05-22T12:19:53.318Z
6.392479
2023-05-22T12:19:53.314Z
16.27033
2023-05-22T12:19:53.314Z
14.04386
2023-05-22T12:19:53.300Z
11.04893
2023-05-22T12:19:34.161Z
12.45955
2023-05-22T12:19:34.148Z
12.97362
2023-05-22T12:19:34.146Z
14.49302
2023-05-22T12:19:34.139Z
10.56118
2023-05-22T12:19:34.134Z
13.57717
2023-05-22T12:19:34.121Z
6.125795
2023-05-22T12:19:34.117Z
14.58776
2023-05-22T12:19:34.115Z
9.96991
2023-05-22T12:19:34.111Z
11.2314
2023-05-22T12:19:34.109Z
10.52258
2023-05-22T12:19:34.109Z
11.90863
2023-05-22T12:19:34.106Z
11.38755
2023-05-22T12:19:34.106Z
20.1969
2023-05-22T12:19:34.106Z
14.49126
2023-05-22T12:19:34.096Z
119.4544
2023-05-22T12:19:34.094Z
7.46448
2023-05-22T12:19:34.089Z
14.17896
2023-05-22T12:19:34.087Z
8.75053
2023-05-22T12:19:34.082Z
117.8525
2023-05-22T12:19:34.006Z
10.81382
2023-05-22T12:19:14.920Z
6.660919
2023-05-22T12:19:14.916Z
17.28443
2023-05-22T12:19:14.900Z
18.96173
2023-05-22T12:19:14.895Z
11.31737
2023-05-22T12:19:14.893Z
11.67529
2023-05-22T12:19:14.886Z
16.50894
2023-05-22T12:19:14.882Z
11.49282
2023-05-22T12:19:14.784Z
9.240036
2023-05-22T12:19:14.776Z
7.961004
2023-05-22T12:19:14.763Z
11.9911
2023-05-22T12:19:14.740Z
20.23901
2023-05-22T12:19:14.724Z
9.464613
2023-05-22T12:19:14.722Z
20.85133
2023-05-22T12:19:14.720Z
11.25245
2023-05-22T12:19:14.715Z
9.841831
2023-05-22T12:19:14.713Z
5.216963
2023-05-22T12:19:14.712Z
10.41204
2023-05-22T12:19:14.709Z
13.32276
2023-05-22T12:19:14.709Z
19.91618
2023-05-22T12:19:14.707Z
19.13543
2023-05-22T12:20:32.722Z
18.93717
2023-05-22T12:20:32.713Z
18.99507
2023-05-22T12:20:32.665Z
19.18982
2023-05-22T12:20:32.661Z
19.32842
2023-05-22T12:20:32.660Z
18.31958
2023-05-22T12:20:32.647Z
17.5055
2023-05-22T12:20:32.645Z
17.84762
2023-05-22T12:20:32.642Z
18.13361
2023-05-22T12:20:32.628Z
18.46346
2023-05-22T12:20:32.624Z
18.45293
2023-05-22T12:20:32.624Z
17.88271
2023-05-22T12:20:32.624Z
17.58269
2023-05-22T12:20:32.624Z
18.96349
2023-05-22T12:20:32.620Z
17.9757
2023-05-22T12:20:32.620Z
19.03016
2023-05-22T12:20:32.620Z
18.27221
2023-05-22T12:20:32.614Z
18.69154
2023-05-22T12:20:32.613Z
18.69856
2023-05-22T12:20:32.610Z
20.38288
2023-05-22T12:20:32.598Z
19.22315
2023-05-22T12:20:13.301Z
18.66347
2023-05-22T12:20:12.919Z
20.039
2023-05-22T12:20:12.910Z
20.35656
2023-05-22T12:20:12.907Z
19.6495
2023-05-22T12:20:12.856Z
19.15473
2023-05-22T12:20:12.830Z
20.039
2023-05-22T12:20:12.829Z
17.33531
2023-05-22T12:20:12.816Z
18.78804
2023-05-22T12:20:12.812Z
19.18456
2023-05-22T12:20:12.797Z
18.94419
2023-05-22T12:20:12.721Z
20.10567
2023-05-22T12:20:12.721Z
20.31972
2023-05-22T12:20:12.721Z
19.22666
2023-05-22T12:20:12.720Z
20.38639
2023-05-22T12:20:12.714Z
19.21438
2023-05-22T12:20:12.713Z
19.49335
2023-05-22T12:20:12.712Z
18.78979
2023-05-22T12:20:12.712Z
19.73021
2023-05-22T12:20:12.711Z
20.12146
2023-05-22T12:20:12.707Z
9.894466
2023-05-22T12:19:53.454Z
14.4667
2023-05-22T12:19:53.412Z
16.82124
2023-05-22T12:19:53.408Z
11.92092
2023-05-22T12:19:53.399Z
14.31581
2023-05-22T12:19:53.397Z
17.21425
2023-05-22T12:19:53.374Z
10.96998
2023-05-22T12:19:53.372Z
13.63682
2023-05-22T12:19:53.364Z
17.38093
2023-05-22T12:19:53.351Z
7.7645
2023-05-22T12:19:53.349Z
13.414
2023-05-22T12:21:30.928Z
15.55273
2023-05-22T12:21:30.927Z
15.4229
2023-05-22T12:21:30.925Z
16.07031
2023-05-22T12:21:30.924Z
17.5669
2023-05-22T12:21:30.917Z
11.97004
2023-05-22T12:21:30.917Z
12.64728
2023-05-22T12:21:30.916Z
16.67562
2023-05-22T12:21:30.915Z
18.38801
2023-05-22T12:21:30.910Z
15.42466
2023-05-22T12:21:30.910Z
18.00027
2023-05-22T12:21:11.625Z
16.99845
2023-05-22T12:21:11.621Z
17.65463
2023-05-22T12:21:11.619Z
15.75977
2023-05-22T12:21:11.619Z
17.79323
2023-05-22T12:21:11.617Z
15.6545
2023-05-22T12:21:11.615Z
14.85971
2023-05-22T12:21:11.615Z
17.47742
2023-05-22T12:21:11.610Z
18.54241
2023-05-22T12:21:11.515Z
18.05115
2023-05-22T12:21:11.513Z
17.02827
2023-05-22T12:21:11.510Z
16.28085
2023-05-22T12:21:11.506Z
15.61414
2023-05-22T12:21:11.505Z
15.35798
2023-05-22T12:21:11.504Z
19.08279
2023-05-22T12:21:11.503Z
17.75463
2023-05-22T12:21:11.498Z
15.53344
2023-05-22T12:21:11.497Z
19.26877
2023-05-22T12:21:11.495Z
17.10371
2023-05-22T12:21:11.493Z
16.99318
2023-05-22T12:21:11.384Z
17.54409
2023-05-22T12:20:51.925Z
15.56151
2023-05-22T12:20:51.923Z
17.21951
2023-05-22T12:20:51.915Z
16.27208
2023-05-22T12:20:51.913Z
13.66138
2023-05-22T12:20:51.907Z
14.84041
2023-05-22T12:20:51.899Z
16.73001
2023-05-22T12:20:51.830Z
12.94204
2023-05-22T12:20:51.828Z
17.18091
2023-05-22T12:20:51.827Z
14.3702
2023-05-22T12:20:51.819Z
17.46514
2023-05-22T12:20:51.819Z
12.40691
2023-05-22T12:20:51.814Z
15.70538
2023-05-22T12:20:51.814Z
17.08617
2023-05-22T12:20:51.812Z
11.4279
2023-05-22T12:20:51.811Z
17.07038
2023-05-22T12:20:51.811Z
15.072
2023-05-22T12:20:51.806Z
15.96855
2023-05-22T12:20:51.804Z
18.41257
2023-05-22T12:20:51.803Z
15.31061
2023-05-22T12:20:51.801Z
10.76645
2023-05-22T12:22:10.028Z
15.74573
2023-05-22T12:22:10.025Z
16.19488
2023-05-22T12:22:10.025Z
16.00013
2023-05-22T12:22:10.024Z
9.51023
2023-05-22T12:22:10.021Z
11.15069
2023-05-22T12:22:10.017Z
15.10709
2023-05-22T12:22:10.012Z
13.48944
2023-05-22T12:22:10.004Z
15.44746
2023-05-22T12:22:10.003Z
16.12295
2023-05-22T12:22:09.996Z

Figure 1: Table of data from May 22nd, Stenpiren

Skärmbild 2023-05-26 150820.png

Figure 2: Graph of data from May 22nd, Stenpiren

Download the entire dataset

Information about this dataset

Introduction to the dataset:

Underwater noise pollution and its impact on marine ecosystems is an important but understudied area. Understanding the acoustic environment under water is essential for researchers, environmentalists, and policymakers to develop effective mitigation strategies and ensure the sustainability of marine life. This data set aims to help solve some of the challenges researchers and other stakeholders in the area face. 

Please note that this is a trail dataset for proof of concept only and that potential research use probably is quite limited. The hydrophone used to make the recordings has yet to be completely calibrated so the values might not be entirely accurate. The data set will also need to be extended extensively in the near future. 

 

Dataset details:

This dataset contains raw data with dB readings captured by a hydrophone deployed in Gothenburg Harbour at Stenpiren on May 22 between 14:18 and 14:40. The hydrophone was used to measure underwater sound levels in the harbor environment. The GPS-coordinates for where the hydrophone was deployed is: 57.7061124132, 11.957438517411365. It was deployed at a depth of roughly 2 meters. The dB readings provide information about the sound intensity in decibels at different time intervals.

 

The dataset includes a time-stamped record of the dB readings, allowing for the analysis of sound patterns and variations throughout the recording period. The readings were taken at regular intervals of 0.1s during the recording phase, followed by a sleep phase of 10s where no measurements were taken. 

 

The measurements were taken by a sensor consisting of a Raspberry Pi Pico and a hydrophone. More information about the whole sensor is available here https://citizensailors.wixsite.com/my-site/sensor. The hydrophone is built by an enthusiast from the UK. More information is available on his website: https://jezrileyfrench.co.uk/hydrophones.php.

 

Potential uses of the data:

The data can be utilized to understand the acoustic environment of Gothenburg Harbour, study the impact of human activities on underwater sound levels, and see potential effects on marine life. Researchers, environmentalists, and policymakers may find this dataset valuable for studying underwater noise pollution, evaluating the effectiveness of noise mitigation measures, or investigating the presence of specific sound sources in the harbor.
 

Further plans regarding the dataset:

We are continuously expanding our monitoring efforts, and we plan to add more hydrophone locations along the whole Swedish coast in the near future. This will be achieved by the help of citizen scientists. These additional locations will provide a broader perspective on underwater sound levels and will make the dataset way more interesting and useful for research.

 

Limitations of the dataset:

Please note that the dataset specifically focuses on dB readings captured by the hydrophone and does not include additional environmental or hydrological parameters. For a comprehensive analysis of the acoustic environment, combining this dataset with other relevant environmental data may be necessary. The inclusion of the timestamp makes it possible to cross reference the data with for example a temperature dataset to draw further conclusions.

Please note that the hydrophone is yet to be completely calibrated, and the values may not be entirely accurate. However, ongoing efforts are being made to improve calibration and accuracy.

Also note that the timestamps might not be accurate to the second or maybe even the minute. This is because the microsensor used to control the hydrophone has limited capacity and to conserve working memory the time-stamp was added first when the data reached the server instead of at the time of recording. The lag should not be more than 15-60s in most cases.

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