Datasets:
schema_version int64 2 2 | observation_id stringclasses 2
values | sound_id stringclasses 3
values | common_name stringclasses 2
values | scientific_name stringclasses 2
values | iconic_taxon_name stringclasses 0
values | audio_url stringclasses 3
values | sample_rate float64 44.1k 44.1k | duration float64 25.6 46.4 | profile stringclasses 1
value | nfft float64 1.02k 1.02k | min_freq float64 500 500 | max_freq float64 12k 12k | scale_mode stringclasses 1
value | dyn_min float64 -95.18 -67.76 | dyn_max float64 -55.18 -27.76 | annotation dict | inat_username stringclasses 0
values | contributed_at stringclasses 5
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | 295954550 | 1558479 | Tasmanian Olive Whistler | Pachycephala olivacea ssp. apatetes | null | https://static.inaturalist.org/sounds/1558479.m4a?1751884589 | 44,100 | 46.370249 | Bird | 1,024 | 500 | 12,000 | mel | -95.179773 | -55.179773 | {
"time_start": 32.999,
"time_end": 35.237,
"freq_low": 691,
"freq_high": 8318
} | null | 2026-06-21T08:09:27.051Z |
2 | 295954550 | 1558479 | Tasmanian Olive Whistler | Pachycephala olivacea ssp. apatetes | null | https://static.inaturalist.org/sounds/1558479.m4a?1751884589 | 44,100 | 46.370249 | Bird | 1,024 | 500 | 12,000 | mel | -95.179773 | -55.179773 | {
"time_start": 33.101,
"time_end": 35.179,
"freq_low": 757,
"freq_high": 7446
} | null | 2026-06-21T15:31:00.336Z |
2 | 295954550 | 1558479 | Tasmanian Olive Whistler | Pachycephala olivacea ssp. apatetes | null | https://static.inaturalist.org/sounds/1558479.m4a?1751884589 | 44,100 | 46.370249 | Bird | 1,024 | 500 | 12,000 | mel | -95.179773 | -55.179773 | {
"time_start": 33.113,
"time_end": 35.142,
"freq_low": 771,
"freq_high": 7150
} | null | 2026-06-21T15:44:47.128Z |
2 | 295954550 | 1558480 | Tasmanian Olive Whistler | Pachycephala olivacea ssp. apatetes | null | https://static.inaturalist.org/sounds/1558480.m4a?1751884591 | 44,100 | 25.61161 | Bird | 1,024 | 500 | 12,000 | mel | -92.157278 | -52.157278 | {
"time_start": 8.925,
"time_end": 10.894,
"freq_low": 944,
"freq_high": 7446
} | null | 2026-06-21T08:09:55.643Z |
2 | 342154157 | 1799203 | Zaunammer · Cirl Bunting | Emberiza cirlus | null | 44,100 | 31.486304 | Bird | 1,024 | 500 | 12,000 | mel | -67.755972 | -27.755972 | {
"time_start": 10.188,
"time_end": 12.356,
"freq_low": 2810,
"freq_high": 4823
} | null | 2026-06-25T11:06:36.094Z |
iNatSpectro Bioacoustics
A community-contributed dataset of bioacoustic spectrograms derived from research-grade iNaturalist audio observations. Contributions are made via the iNatSpectro browser extension, which renders spectrograms directly in the browser and lets users submit species annotations and recording metadata for ML training.
Dataset description
Each entry in this dataset corresponds to one iNaturalist audio file. The spectrogram is rendered in-browser by iNatSpectro, and the contributor submits the recording metadata and (optionally) an annotation marking where the species call occurs. Entries may include a strong label (an annotated time/frequency bounding box identifying where a species call occurs) or a weak label (species is known to be present in the audio, but the exact location is not annotated).
The dataset is append-only. Each contribution is stored as a separate NDJSON file at data/{observation_id}_{sound_id}_{unix_timestamp_ms}.ndjson. Because some iNaturalist observations have multiple audio files, sound_id (the iNaturalist sound ID) is needed alongside observation_id to uniquely identify a recording.
Dataset structure
Each NDJSON file contains a single JSON object with the following fields:
| Field | Type | Description |
|---|---|---|
schema_version |
number | Schema version of this record (currently 2) |
observation_id |
string | iNaturalist observation ID |
sound_id |
string | null | iNaturalist sound ID (numeric, extracted from audio_url) |
common_name |
string | null | Common name of the observed species |
scientific_name |
string | null | Scientific name |
iconic_taxon_name |
string | null | Broad taxonomic group (e.g. "Mammalia") |
audio_url |
string | Source audio URL on iNaturalist |
sample_rate |
number | Sample rate of the source audio in Hz |
duration |
number | Duration of the source audio in seconds |
profile |
string | iNatSpectro analysis profile used (e.g. "Bat") |
nfft |
number | null | FFT size used |
min_freq |
number | Lowest displayed frequency in Hz |
max_freq |
number | Highest displayed frequency in Hz |
scale_mode |
string | Frequency axis scale: "mel", "log", or "linear" |
dyn_min |
number | Normalisation floor in dB |
dyn_max |
number | Normalisation ceiling in dB |
annotation |
object | null | Bounding box for the species call (see below) |
inat_username |
string | null | Contributor's iNaturalist username (opt-in) |
contributed_at |
string | ISO 8601 timestamp of contribution |
The min_freq, max_freq, scale_mode, dyn_min, and dyn_max fields describe how the spectrogram was rendered in-browser at contribution time; the raw spectrogram float data itself is not stored in this dataset.
annotation field
null indicates a weak label — the species is confirmed present somewhere in the audio but the exact location is unknown.
When present, annotation is a strong label giving the time/frequency bounding box of the species call:
{
"time_start": 1.2,
"time_end": 2.8,
"freq_low": 15000,
"freq_high": 80000
}
All values are in seconds (time) or Hz (frequency).
Source data
Observations are sourced from iNaturalist, a global citizen science platform. Only research-grade observations are eligible for contribution — these have community consensus on species identification.
Audio files remain hosted on iNaturalist and are referenced by audio_url. The spectrogram was rendered locally in the contributor's browser using iNatSpectro; this dataset stores the resulting metadata and annotations.
How to use
from datasets import load_dataset
ds = load_dataset("japht/inatspectro-bioacoustics", split="train")
# Example: inspect an entry
entry = ds[0]
print(entry["scientific_name"], entry["annotation"])
Deduplicate by recording (keep latest contribution per observation + audio file):
import pandas as pd
df = ds.to_pandas()
df = (
df.sort_values("contributed_at")
.drop_duplicates(subset=["observation_id", "sound_id"], keep="last")
)
Filter to strong labels only:
strong = ds.filter(lambda x: x["annotation"] is not None)
License
This dataset is released under CC BY 4.0. Source audio observations on iNaturalist are subject to their individual observation licenses as set by their authors. Spectrogram float data and metadata in this dataset are contributed under CC BY 4.0 by iNatSpectro users.
Contributing
Contributions are made via the iNatSpectro browser extension. Open any research-grade iNaturalist observation with audio, render the spectrogram, and click Contribute to submit.
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