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ShareScore release 0.9.0
Dataset results
3 results for “environmental audio”
A dataset of environmental audio recordings containing chainsaw events
<p>This audio dataset contains audio recordings (.wav format, 8kHz sampling rate) of various durations acquired using eight Cornel University SWIFT Autonomous Recording Units (ARUs) and corresponding metadata (.textgrid files). The recordings were collected within the Rodopi Mountain-Range National Park, Greece, at different seasons between 2018 and 2019. They are part of longer audio recordings. This audio content was used for the evaluation of a chainsaw sound detection system that was developed for the needs of a research project funded via a Single RTDI State Aid Action ”Research – Create – Innovate” grant (T1EDK-04488), which is co-financed by Greece and the European Union (European Regional Development Fund) as part of the Operational Program ”Competitiveness, Entrepreneurship and Innovation” of the National Strategic Reference Framework (NSRF) 2014-2020.</p> <p>Portions of each uploaded recording contain chainsaw events. The temporal location of these events, originally located manually by human listeners, are marked within the corresponding .textgrid files. Each audio recording with the corresponding textgrid file can be opened using the Praat program (<a href="https://www.fon.hum.uva.nl/praat/">https://www.fon.hum.uva.nl/praat/</a>).</p> <p>If you find this dataset useful please cite the following paper:</p> <p>N. Stefanakis, K. Psaroulakis, N. Simou and C. Astaras, "An open-access system for long-range chainsaw sound detection", in Proceedings of EUSIPCO (2022).</p> <p>The chainsaw sound detection algorithm that was developed is also open access and is available in the form of python code from <a href="https://github.com/spl-icsforth/An-open-access-system-for-long-range-chainsaw-sound-detection">https://github.com/spl-icsforth/An-open-access-system-for-long-range-chainsaw-sound-detection</a></p>
Multi-site environmental field recordings for audio event recognition in Upstate NY
<p>The first soundscape is located in a lightly wooded suburban area north of Albany, New York, at about 100 meters above sea level. The surrounding vegetation consists of white pines, spruces, oaks, and maples. The acoustic data was originally collected using a Zoom H2n Handy Recorder in 4-channel mode, yet only data from a single microphone capsule is presented.. Recordings were originally made at 16 bits in Waveform Audio File Format (WAV) at a frequency of 44,100 Hz. This dataset was collected from August 2019 to August 2020.</p> <p><br> The second soundscape is located in a forested area in Lake George, New York, also at about 100 meters above sea level. The surrounding vegetation consists largely of white pines. The microphone array consisted of two H2n Zoom recorders mounted perpendicularly to simulate four-channel recording conditions, yet only data from a single microphone capsule is presented. Recordings were originally made at 256 kbps in MPEG-2 Audio Layer III (MP3) format. This dataset was collected from February 2020 until February 2021.</p> <p>Once all of the audio data was collected, it was segmented into 8 second-long clips, to ensure that both biological and anthropogenic sound sources with longer call lengths were provided with sufficient temporal context, while still achieving reasonable computational efficiency. Each segment was then downsampled to 16 kHz for processing efficiency, allowing each to be represented as a 128,000-sample vector. </p> <p>Sounds</p> <p>ECMK- Eastern chipmunk "chuck"</p> <p>DGBR- dog bark</p> <p>DOWO- Downy woodpecker drum</p> <p>RNFL- rainfall</p> <p>ENGE- engine</p> <p>RCCR- remote control car</p> <p>BUBP- back-up beeper (truck)</p> <p>SREN- siren</p> <p>FFCR- fall field cricket</p> <p>DDCC- dog-day cicada</p> <p>ECMC- Eastern chipmunk "chirp"</p> <p>EGSK- Eastern gray squirrel "kuk"</p> <p>AMRO- American robin</p> <p>AMCR- American crow</p> <p>BLJA- Bluejay</p> <p>NOCA- Northern cardinal</p> <p>BCCH- Black-capped chickadee</p> <p>EAPH- Eastern phoebe</p> <p>BAWW- Black-and-white warbler</p> <p>WBNU- White-breasted nuthatch</p> <p>RBNU- Red-breasted nuthatch</p> <p>**Sounds from site 1 have no specific label tag while sounds from site 2 are specifically labeled with "-site2"</p> <p> </p>
Multi-modal Dataset of Human Activities of Daily Living with Ambient Audio, Vibration and Environmental Data
<pre>This dataset provides over 43000 samples of 25 different human activities (e.g. walking, opening/closing a door, sitting down, vacuum cleaning). Each sample is recorded by 5 sensor devices with multiple types of sensors. The main part is audio and vibration. Further metrics were recorded at a low frequency, and are: infrared array, light color, temperature, relative humidity, atmospheric pressure, air quality measure, volatile organic compounds and CO2 equivalent. The data was recorded in supervised sessions to label each sample. The recording environment consisted of a kitchen and dining room. Flawed samples were removed and the different metrics were synchronized, but no further processing or filtering of the data was performed. </pre>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.