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SN1 2020 - Hydrophone - RAW dataset

Metadata

Instrument: SMID seismic digital hydrophone prototype DT-405D(V)1
Investigator: Davide Embriaco (INGV)
Project: EMSO-MIUR
Observatory: NEMO-SN1

Citation: Embriaco, Davide. (2019). Hydrophone dataset (SMID DT-405D(V)1 @ 2 kHz) from INGV/NEMO-SN1 seafloor platform during EMSO-MIUR project in TestSite site (East Sicily), part of network.

Abstract: The dataset contains seafloor pressure data acquired by the seismic hydrophone installed on NEMO-SN1 observatory in the frequency band 50mHz - 1kHz. Pressure is sampled at 2kHz rate by two A/D converter (12 bit) which supply two data channel (with low, 30dB and high, 60 dB gain). Pressure data are stored in counts units; 1 count corresponds to 0.546 Pa and 0.0172 Pa for low and high gain channel respectively. Absolute time reference is available thanks to GPS data embedded in each packet of data and distributed from land station to seafloor.

Purpose: The wide frequency range allows to study acoustic ambient noise in the deep water, detect sperm whale and cetaceans and detect seismic signals. It was designed to be able to detect also low frequency hydroacustic signal generated by a tsunami in case this was generated by large seismic event on the seafloor.

Quality of data:

period October 12, 2019 - on going
coordinates 37.54765 N, 15.3975 E (WGS84)
sampling rate 2 kHz
platform type Fixed benthic node
size 292.5 GB
files count 15,868
export formats WAVEform audio file format
license Creative Commons Attribution 4.0 International License (CC BY 4.0)
dataset progress IN WORK
science keywords SOLID EARTH > SEISMOLOGY > EARTHQUAKE OCCURRENCES
SOLID EARTH > SEISMOLOGY > EARTHQUAKE DYNAMICS
OCEANS > OCEAN ACOUSTICS > ACOUSTIC ATTENUATION/TRANSMISSION
OCEANS > OCEAN ACOUSTICS > ACOUSTIC TOMOGRAPHY
OCEANS > OCEAN ACOUSTICS > ACOUSTIC VELOCITY
OCEANS > OCEAN ACOUSTICS > AMBIENT NOISE
xml ATOM - DIF - KML - OAI DublinCore - PANGAEA DublinCore - OpenSearch - RDF - SensorML
dissemination GENESI-DEC - NASA GCMD - EMSO Data Portal - ESONET Data Portal - ESONET Sensor
moist identifier moist..testsite.emso-miur.2019.nemo-sn1.hydrophone.75
oai identifier oai:www.moist.it:dataset-75
uuid identifier urn:uuid:cc2705bd-4311-11e8-9988-0025b320789e