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Higher frequency data products of the International Monitoring System’s infrasound stations

This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, within the CTBT-relevant infrasound range (around 0.01-4 Hz), this dataset covers higher frequencies (1-3 Hz) and is therefore called the ‘hf’ product. The temporal resolution (time step and window length) is 5 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022

Very low frequency data products of the International Monitoring System’s infrasound stations

This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset, called the ‘maw’ product, covers a very low frequency range of infrasound (0.02-0.07 Hz). The temporal resolution (time step and window length) is 30 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022.

Global reference histograms of the IMS infrasound broadband detection lists

This data set builds upon the broadband detection lists of the International Monitoring System (IMS)’s infrasound stations. The infrasound data of these stations are regularly (re-)processed at the German National Data Centre at BGR (e.g., Ceranna et al., 2019; https://doi.org/10.1007/978-3-319-75140-5_13) using the Progressive Multi-Channel Correlation (PMCC) array processing method (Cansi, 1995; https://doi.org/10.1029/95GL00468). The latest reprocessing with 26 one-third octave spaced frequency bands in the IMS band of interest (0.01 to 4 Hz) included all 53 stations that were certified within the period 2003 to 2020. Based on the resulting broadband detection lists, this data set expands on former analyses of the coherent ambient noise. For each station with a data availability of at least one year (by the end of 2020), monthly reference histograms for the detection parameters back azimuth, apparent speed, and root-mean-squared amplitude are provided. The histograms provide a means to determine the deviation from nominal monthly behaviour and thus enable assessing the plausibility of detections and potential anomalies – without determining their cause – in the detected parameters. Overall, these quality metrics will be, among other applications, a useful supplement to the open-access IMS infrasound data products provided by Hupe et al., which are also available in BGR’s product centre. Further details of the reference histograms are described in the following publication by Kristoffersen et al.: "Updated global reference models of broadband coherent infrasound signals for atmospheric studies and civilian applications" (https://doi.org/10.1029/2022EA002222).

Infrasonic Signatures of 1001 Rocket Launches for Space Missions

Rocket launches for space missions are well-defined ground-truth events generating strong infrasonic signatures. This data set covers ground-truth information for 1001 rocket launches from 27 global spaceports between 2009 and mid-2020. Infrasound signatures from up to 73% of the launches were identified at infrasound arrays of the International Monitoring System. The detection parameters were obtained using the Progressive Multi-Channel Correlation (PMCC) algorithm. Propagation and quality parameters supplement the PMCC detection parameters in this dataset. The results are provided for further use as a ground-truth reference in geophysical and atmospheric research. The open-access publication “1001 Rocket Launches for Space Missions and their Infrasonic Signature” (Pilger et al., 2021, Geophys. Res. Letters, doi:10.1029/2020GL092262) provides further details on this data set. Data format: The data are provided both as ASCII files (separate lists of infrasound signatures and rocket launch events, plus README files) and as a comprehensive netCDF file.

Microbarom low-frequency data products of the International Monitoring System’s infrasound stations

This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset covers the dominant frequency range of microbaroms (0.15-0.35 Hz) and is therefore called the ‘mb_lf’ product. The temporal resolution (time step and window length) is 15 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022

Microbarom high-frequency data products of the International Monitoring System’s infrasound stations

This dataset consists of data products derived from broadband signal detection lists that have been processed for the certified infrasound stations of the International Monitoring System. More specifically, this dataset covers, among other phenomena, the upper frequency range of microbaroms (0.45-0.65 Hz) and is therefore called the ‘mb_hf’ product. The temporal resolution (time step and window length) is 15 min. For processing the infrasound data, the Progressive Multi-Channel Correlation (PMCC) array processing algorithm with a one-third octave frequency band configuration between 0.01 and 4 Hz has been used. The detected signals from the most dominant directions in terms of number of arrivals within a time window and the product-specific frequency range are summarized at predefined time steps. Along with several detection parameters such as the back azimuth, apparent velocity, or mean frequency, additional quantities for assessing the relative quality of the detection parameters are provided. The dataset is available as a compressed .zip file containing the yearly data products (.nc files, NetCDF format) of all certified stations (since 2003). Further information on the processing and details about the open-access data products can be found in: Hupe et al. (2022), IMS infrasound data products for atmospheric studies and civilian applications, Earth System Science Data, doi:10.5194/essd-14-4201-2022

Langzeitmessung tieffrequenter Geräusche im Wohnumfeld nach TA Lärm DIN 45680

Den seit 6 Monaten ausstehenden Bericht über Erschütterungs- und Geräuschmessung (→Infraschall, tieffrequente Geräusche, Vibrationen; Langzeitmessung 06.05.2024 - 16.05.2024) in unserem Wohnhaus. Trotz mehrmaliger schriftlicher Nachfragen werden Antworten zum Bericht aktuell verweigert.

Acoustic Recordings of Strokkur Geyser Eruptions: Data from August 23–27, 2023

This dataset comprises acoustic recordings of eruptive events at Strokkur Geyser, Iceland, collected during a field campaign from August 23–27, 2023. The data were recorded using four Chaparral M-60 UHP2 infrasound microphones with a flat frequency response from 0.05–200 Hz. The microphones were deployed in a semicircular array around the geyser pool, approximately 7.5 meters from its center. The signals were digitized using DiGOS Data-Cube3 digitizers with a sampling rate of 400 Hz, ensuring high-resolution capture of both low-frequency infrasound and high-frequency audio signals. Each recording spans approximately 2 ½ hours per day and is timestamped using GPS for precise temporal accuracy. The data are provided as miniSEED files with applied sensitivity, allowing direct calculation of sound pressure levels in Pascal (Pa). The exact locations for each sensor on each day are given below. The dataset highlights acoustic signals associated with the growth, rupture, and disintegration of the water bulge preceding Strokkur’s eruptions. Distinct features, such as "M-shaped" infrasound waveforms, are evident and provide insight into the dynamic processes driving geyser eruptions. The dataset offers a valuable resource for studying acoustic emissions during geyser activity, providing a high-resolution foundation for research on subsurface processes and fluid dynamics. It also facilitates comparative studies of geophysical signals in geysers and analogous volcanic systems. August 23 (Small array configuration): Recording times: 6:25 – 9:41 UTC (exact start times for each sensor may vary as they were started separately). Sensor C3H: 64.31299, -20.30095 Sensor C3G: 64.31308, -20.30089 Sensor C3F: 64.31311, -20.30064 Sensor C3C: 64.31303, -20.30070 August 24 (Half circle around the geyser, until 8:36 UTC): Recording times: 6:50 – 9:17 UTC (exact start times for each sensor may vary). Sensor C3H: 64.31276, -20.30093 Sensor C3G: 64.31280, -20.30073 Sensor C3F: 64.31273, -20.30066 Sensor C3C: 64.31267, -20.30062 August 24 (After 8:36 UTC, modified configuration): Sensor C3F moved to 64.313203, -20.301558 to record gas bubble sounds near another ground opening. Sensor C3H: 64.31276, -20.30093 Sensor C3G: 64.31280, -20.30073 Sensor C3C: 64.31267, -20.30062 August 25 (Half circle around the geyser): Recording times: 6:56 – 9:20 UTC (exact start times for each sensor may vary). Sensor C3H: 64.31276, -20.30093 Sensor C3G: 64.31280, -20.30073 Sensor C3F: 64.31273, -20.30066 Sensor C3C: 64.31267, -20.30062 August 26: No measurements were taken. August 27 (Line configuration, before 8:01 UTC): Recording times: 6:18 – 9:26 UTC (exact start times for each sensor may vary). Sensor C3H: 64.31276, -20.30072 Sensor C3G: 64.31283, -20.30071 Sensor C3F: 64.31288, -20.30071 Sensor C3C: 64.31292, -20.30062 August 27 (After 8:01 UTC, returned to half circle around the geyser): Sensor C3H: 64.31276, -20.30093 Sensor C3G: 64.31280, -20.30073 Sensor C3F: 64.31273, -20.30066 Sensor C3C: 64.31267, -20.30062

High-Speed Video Recordings of Water Bulge Growth and Rupture at Strokkur Geyser, Iceland (August 23–27, 2023)

This dataset comprises unprocessed high-speed video recordings of eruptive events at Strokkur Geyser, Iceland, captured during a field campaign from August 23–27, 2023. The videos are provided as sequences of individual TIFF files for each frame, enabling detailed analysis of the geyser’s eruption cycle. These high-resolution recordings, made using a Chronos 2.1-HD high-speed camera at 500 frames per second with a resolution of 1920×1080 pixels, are specifically focused on capturing the growth and rupture of the water bulge, rather than the resulting geyser fountain. Each video is, on average, 4.29 seconds long, providing high temporal resolution of these rapid processes. The dataset includes 29 analyzed events, selected for their detailed capture of the water bulge dynamics. These videos document critical stages of the eruption process, including the bulge’s growth, rupture, and associated fluid dynamics. The recordings were synchronized with infrasound and audio data collected during the campaign, allowing for integrated analysis of acoustic signals and visual observations. This dataset provides a valuable resource for studying water bulge dynamics and associated acoustic emissions. It complements other geophysical data collected during the campaign and offers insights into surface and subsurface processes relevant to geysers and analogous volcanic systems.

Wirkung von Infraschall - Voruntersuchung für eine umweltepidemiologische Langzeitstudie

Aus verschiedenen Fachdisziplinen und von Betroffenenseite wird die Befürchtung geäußert, dass langjährige niedrigschwellige Infraschallbelastung, die u.a. von Windenergieanlagen ausgehen kann, nachteilige Folgen auf die Gesundheit von Menschen in der Umgebung von derartigen Anlagen haben könnte. Bislang liegen vornehmlich Ergebnisse aus Querschnitt- und experimentellen Studien vor. Daher sind insbesondere für eine abschließende Bewertung möglicher gesundheitlicher Auswirkungen durch langjährige niedrigschwellige Belastung durch Infraschall zusätzlich aufwendige Langzeituntersuchungen mit Kohorten-Design notwendig. Das Vorhaben soll die Möglichkeiten für entsprechende Studien zur detaillierten Klärung komplexer Fachfragen aufzeigen. Im Rahmen einer Voruntersuchung sollen die inhaltlichen, methodischen sowie verfahrenstechnischen Grundlagen und Randbedingungen für eine umweltepidemiologische Langzeitstudie über die Wirkungen von anthropogenem Infraschall mit niedrigen Pegeln auf die Gesundheit der Bevölkerung erforscht werden. Eine an die Voruntersuchung anschließende Umsetzungsphase kann auf den erarbeiteten Grundlagen aufbauen und die methodischen und inhaltlichen Anforderungen an eine solche Langzeitstudie übernehmen.

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