Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
130
datasets available to search
ShareScore release 0.9.0
Dataset results
130 results for “acoustic monitoring”
Data from: AudioMoth: evaluation of a smart open acoustic device for monitoring biodiversity and the environment
Open the record for dataset details and reuse information.
Limitations of acoustic monitoring at wind turbines to evaluate fatality risk of bats
Open the record for dataset details and reuse information.
Data from: Pollination on the dark side: acoustic monitoring reveals impacts of a total solar eclipse on flight behavior and activity schedule of foraging bees
Open the record for dataset details and reuse information.
Data from: Persistent near real-time passive acoustic monitoring for baleen whales from a moored buoy: system description and evaluation
Open the record for dataset details and reuse information.
Unsupervised acoustic classification of individual gibbon females and the implications for passive acoustic monitoring
Open the record for dataset details and reuse information.
Data from: Repertoire-based individual acoustic monitoring of a migratory passerine bird with complex song as an efficient tool for tracking territorial dynamics and annual return rates
Open the record for dataset details and reuse information.
Automated detection of Hainan gibbon calls for passive acoustic monitoring
<p>Data accompanying the paper: "Automated detection of Hainan gibbon calls for passive acoustic monitoring"</p> <p><strong>Please cite this dataset as:</strong></p> <blockquote> <p>Dufourq, Emmanuel and Durbach, Ian and Hansford, James and Hoepfner, Amanda and Ma, Heidi and Bryant, Jessica and Stender, Christina and Li, Wenyong and Liu, Zhiwei and Chen, Qing and Zhou, Zhaoli and Turvey, Samuel. (2020). Automated detection of Hainan gibbon calls for passive acoustic monitoring. BioRxiv doi: https://doi.org/10.1101/2020.09.07.285502</p> </blockquote> <p>The Hainan gibbon is the world's rarest primate and one of the world's rarest mammals, with only a single population of about 30 individuals surviving in Bawangling National Nature Reserve (BNNR), Hainan, China. Eight Song Meter SM3 recorders (Wildlife Acoustics, Maynard, Massachusetts) were used to collect acoustic data from 1 March to 20 August 2016 within BNNR. Recorders were attached to trees at approximately 1.5 meters from the ground in tropical evergreen forest. Recorders were set to record for eight hours each day from the time of sunrise, which varied between approximately 05:00 and 06:00 during the study period. Devices did not record continuously throughout the entire survey period due to logistical and technical issues; in total, survey days per recorder varied between 79 and 129 days, and roughly 6,000 hours of recordings were collected. The majority of recordings were made with a sampling rate of 9,600Hz and bit depth of 16, with isolated recordings at 28,800Hz.</p> <p>We provide the audio data (.wav) used to train and test our neural network classifier along with the corresponding labelled text files (.data).</p> <p><strong>Files provided</strong></p> <p>Train.zip - contains the training .wav audio files</p> <p>Train_Labels.zip - contains the labels for the training data</p> <p>Test.zip - contains the testing .wav audio files</p> <p>Test_Labels.zip - contains the labels for the test data</p> <p>Extra_Labelled_Data.zip - contains extra data that was labelled and non-gibbon calls used for training</p> <p>Extra_Labels.zip - contains the labels for the extra labelled data</p> <p>Unlabelled_Data.zip - contains additional .wav audio files which have not been labelled. These are split into various files (1-15) and can be downloaded individually.</p> <p>Code.zip - contains all the software scripts and notebooks</p> <p>Manual-zip - contains the user manual</p> <p><strong>Labels</strong></p> <p>The names of the labelled files start with either "g_" or "n_", for example "g_HGSM3D_0+1_20160429_051600.data" and "n_HGSM3D_0+1_20160429_051600.data". Files starting with "g_" contain the timestamps of the gibbon calls, and files starting with "n_" contain the timestamps of non-gibbon calls (e.g. background noise and bird calls). An audio file will have both a "g_" and "n_" file. Each file has the following format: Start,End,Duration,Type,Notes, where "start" denotes the start time in seconds, "end" denotes the end time in seconds, "duration" denotes the duration (end - start) in seconds, "type" denotes the type of call/noise and "notes" are additional notes which we labelled.</p> <p><strong>Types</strong></p> <p>The legend for the "type" column in the labelled files is defined as follows. The types for gibbon and non-gibbon files are different and we distinguish this below.</p> <p> </p> <p>Gibbon files ("g_")</p> <p>type 1 = one pulse gibbon call</p> <p>type 2 = multiple pulse gibbon call (check "notes column" below)</p> <p>type 3 = duet gibbon call</p> <p> </p> <p><em>Notes column (only available in gibbon files)</em></p> <p>One of the following: 2 pulse call, 3 pulse call, 4 pulse call, 5 pulse call or 6 pulse call.</p> <p> </p> <p>Non-gibbon files ("n_")</p> <p>type 1 = rain</p> <p>type 2 = other species (e.g. birds)</p> <p>type 3 = rain and other species</p> <p>type 4 = rain and external noise (e.g. aircraft)</p> <p>type 5 = natural sounds and external noise</p> <p>type 6 = natural sounds and other species</p> <p><strong>Training files (containing gibbon calls):</strong></p> <p>HGSM3AC_0+1_20160309_055600<br> HGSM3AC_0+1_20160312_055400<br> HGSM3A_0+1_20160304_060000<br> HGSM3BD_0+1_20160305_060000<br> HGSM3AC_0+1_20160314_055200<br> HGSM3B_0+1_20150616_050500<br> HGSM3BD_0+1_20160402_053600<br> HGSM3D_0+1_20160429_051600<br> HGSM3B_0+1_20160305_060000<br> HGSM3C_0+1_20160501_051500<br> HGSM3SOL_0+1_20160320_054700<br> HGSM3SOL_0+1_20160405_053400<br> HGSM3BD_0+1_20160401_053700</p> <p><strong>Testing files:</strong></p> <p>HGSM3B_0+1_20160323_054500<br> HGSM3B_0+1_20160321_054700<br> HGSM3B_0+1_20160306_055900<br> HGSM3B_0+1_20160308_055700<br> HGSM3B_0+1_20160309_055600<br> HGSM3B_0+1_20160316_055100<br> HGSM3B_0+1_20160311_055500<br> HGSM3B_0+1_20160304_060000<br> HGSM3B_0+1_20160322_054600</p>
Acoustic Monitoring Dataset for Robotic Laser Directed Energy Deposition (LDED) of Maraging Steel C300
<p>This dataset presents a set of acoustic signals captured during a single-bead wall experiment in robotic Laser Directed Energy Deposition (LDED) using Maraging Steel C300. The acoustic data was recorded using a high-fidelity Prepolarized microphone sensor (Xiris WeldMIC), capturing the intricate sound profiles associated with the LDED process at a sampling rate of 44,100 Hz.</p><p><strong>Laser Directed Energy Deposition:</strong></p><p>This dataset was generated with a robotic LDED process that consists of a six-axis industrial robot (KUKA KR90) coupled with a two-axis positioner, a laser head, and a coaxial powder-feeding nozzle.</p><p> </p><p><strong>Folder Structure:</strong></p><ul><li><strong>/sample-1</strong>: The main folder for the experiment sample.<ul><li><strong>/audio_files</strong>: Contains 4624 <strong>.wav</strong> audio files, each representing a 40 ms chunk of the LDED process sound.</li><li><strong>/annotations_1.csv</strong>: A CSV file providing annotations for the audio files, labeling each as "Defect-free", "Defective", or "Laser-off".</li></ul></li><li>audio_features.h5: extracted acoustic features in time-domain, frequency-domain, and time-frequency representations (MFCC features). Feature extraction was conducted using Python Essentia Library.</li></ul><p> </p><p><strong>File Naming Convention:</strong></p><ul><li>Audio files within the <strong>audio_files</strong> folder are named following the pattern <strong>sample_ExperimentID_SampleID.wav</strong>. Given that there's only one experiment and one sample, the naming will be consistent, for example, <strong>sample_1_1.wav</strong> for the first file.</li></ul><p><strong>Annotation Details:</strong></p><ul><li>The <strong>annotations_1.csv</strong> file contains detailed labels for each audio file, correlating to the conditions observed during the experiment, aiding in quick identification and analysis.</li></ul><p><strong>Experimental Parameters:</strong> The dataset reflects a controlled experiment setup with the following specifications:</p><ul><li>Geometry: Single bead wall structure</li><li>Dimensions: 90 mm * 42.5 mm</li><li>Number of layers: 50</li><li>Laser beam diameter: 2 mm</li><li>Layer thickness: 0.85 mm</li><li>Stand-off distance: 12 mm</li><li>Laser profile: Gaussian</li><li>Laser wavelength: 1064 nm</li></ul><p><strong>Process Parameters:</strong></p><ul><li>Laser power: 2.3 kW</li><li>Speed: 25 mm/s</li><li>Dwell time: 0 s</li><li>Powder flow rate: 12 g/min</li></ul><p>This dataset aims to facilitate the development and testing of acoustic-based defect detection models for real-time quality monitoring in LDED processes. It can also serve as a reference point for further research on sensor fusion, machine learning, and real-time monitoring of manufacturing processes.</p>
Support videos for the article "Damage categorization in full-scale, full-composite ship hull under high-energy impacts by unsupervised-learning-enabled acoustic emission monitoring and laser shearography inspection"
<p>Video 1: Video showing one of the impact from a general perspective</p> <p>Video 2: Slow-motion video of the second impact</p>
Data for the paper: "A soundscape approach for a short-term acoustic monitoring of a Critically Endangered Cuban frog"
<p>This 4 excel sheets contain the data sets for the paper “A soundscape approach for a short-term acoustic monitoring of a Critically Endangered Cuban frog” . The data comprises the call rate informatione xtracted from te recordings and the Acoustical index data for descibing the soundscape of the area</p>
Monitoring Spatiotemporal Seismic Velocity Changes Using Seismic Interferometry and Distributed Acoustic Sensing in Mexico City
<h2>Cross-Correlation Functions (CCFs) Data Files</h2> <p>The dataset consists of four zipped files:</p> <ul> <li> <p><strong>cc_25hz_das1_Freq_0.40-1.20hz.zip</strong></p> <ul> <li> <p>Contains CCFs using DAS fiber-1, sampled at 25 Hz, for the frequency range of 0.40–1.20 Hz.</p> </li> </ul> </li> <li> <p><strong>cc_25hz_das1_Freq_1.20-3.60hz.zip</strong></p> <ul> <li>Contains CCFs using DAS fiber-1, sampled at 25 Hz, for the frequency range of 1.20–3.60 Hz.</li> </ul> </li> <li> <p><strong>cc_25hz_das2_Freq_0.40-1.20hz.zip</strong></p> <ul> <li> <p>Contains CCFs using DAS fiber-2, sampled at 25 Hz, for the frequency range of 0.40–1.20 Hz.</p> </li> </ul> </li> <li> <p><strong>cc_25hz_das2_Freq_1.20-3.60hz.zip</strong></p> <ul> <li>Contains CCFs using DAS fiber-2, sampled at 25 Hz, for the frequency range of 1.20–3.60 Hz.</li> </ul> </li> </ul> <h4> </h4>
Figure 8 from: Rosa G, Penny S, Andreone F, Crottini A, Holderied M, Rakotozafy L, Schwitzer C (2014) A new species of the Boophis rappiodes group (Anura, Mantellidae) from the Sahamalaza Peninsula, northwest Madagascar, with acoustic monitoring of its nocturnal calling activity. ZooKeys 435: 111-132. https://doi.org/10.3897/zookeys.435.7383
Figure 8 - Anthropogenic disturbance within Ankarafa Forest: A Area of savannah, dividing Ankarafa Forest into many smaller fragments (14 December 2011; 14°22.77'S, 47°45.58'E) B Recent forest clearance (11 November 2011; 14°23.09'S, 47°44.92'E) C A fire lit to clear forest for agriculture (16 November 2011; 14°23.20'S, 47°44.80'E) D a Tavy field with intact forest in the background and the river acting as the boundary line (30 October 2011; 14°22.82'S, 47°45.28'E).
Figure 7 from: Rosa G, Penny S, Andreone F, Crottini A, Holderied M, Rakotozafy L, Schwitzer C (2014) A new species of the Boophis rappiodes group (Anura, Mantellidae) from the Sahamalaza Peninsula, northwest Madagascar, with acoustic monitoring of its nocturnal calling activity. ZooKeys 435: 111-132. https://doi.org/10.3897/zookeys.435.7383
Figure 7 - Habitat of Boophis ankarafensis sp. n. in Ankarafa Forest. A 21 November 2011; 14°23.39'S, 47°46.37'E; B 3 January 2012; 14°22.83'S, 47°45.57'E.
Figure 6 from: Rosa G, Penny S, Andreone F, Crottini A, Holderied M, Rakotozafy L, Schwitzer C (2014) A new species of the Boophis rappiodes group (Anura, Mantellidae) from the Sahamalaza Peninsula, northwest Madagascar, with acoustic monitoring of its nocturnal calling activity. ZooKeys 435: 111-132. https://doi.org/10.3897/zookeys.435.7383
Figure 6 - Representative call of Boophis ankarafensis sp. n. and comparative call of Boophis bottae from Betampona (Rosa et al. 2011, track #08): A Boophis ankarafensis sp. n. sonagrams (top) and oscillograms (bottom) referring to a section of trill note (type 1) constructed of alternating broad- and narrow-band pulses and click notes (type 2) (recorded at 25.2 °C, 13 October 2011) B Boophis bottae oscillograms of types 1 and 2 notes (recorded at 23.0 °C, 17 November 2007). Spectrogram parameters: FFT length 512, Hamming window.
Figure 5 from: Rosa G, Penny S, Andreone F, Crottini A, Holderied M, Rakotozafy L, Schwitzer C (2014) A new species of the Boophis rappiodes group (Anura, Mantellidae) from the Sahamalaza Peninsula, northwest Madagascar, with acoustic monitoring of its nocturnal calling activity. ZooKeys 435: 111-132. https://doi.org/10.3897/zookeys.435.7383
Figure 5 - Nocturnal variation in calling activity of Boophis ankarafensis sp. n.; activity shown as a proportion of total calling activity and time shown as a proportion of night length from dusk [0%] until dawn [100%].
Figure 4 from: Rosa G, Penny S, Andreone F, Crottini A, Holderied M, Rakotozafy L, Schwitzer C (2014) A new species of the Boophis rappiodes group (Anura, Mantellidae) from the Sahamalaza Peninsula, northwest Madagascar, with acoustic monitoring of its nocturnal calling activity. ZooKeys 435: 111-132. https://doi.org/10.3897/zookeys.435.7383
Figure 4 - Detection of Boophis ankarafensis sp. n. Upper panel: Location of acoustic recording sites indicating presence (green) or absence (black) of vocal activity and transect encounters (red). Lower left: The Sahamalaza Peninsula: A–B Ankarafa Forest C Antafiabe Village D–F Anabohazo Forest. Lower right: location of the Sahamalaza Peninsula, in northwestern Madagascar.
Figure 1 from: Rosa G, Penny S, Andreone F, Crottini A, Holderied M, Rakotozafy L, Schwitzer C (2014) A new species of the Boophis rappiodes group (Anura, Mantellidae) from the Sahamalaza Peninsula, northwest Madagascar, with acoustic monitoring of its nocturnal calling activity. ZooKeys 435: 111-132. https://doi.org/10.3897/zookeys.435.7383
Figure 1 - The Sahamalaza Peninsula in northwest Madagascar, indicating the study sites of (A) Ankarafa Forest, (B) Antafiabe Village, (C) Anabohazo Forest and (D) Betsimpoaka village. Source: Madagascar National Parks (MNP).
Figure 3 from: Rosa G, Penny S, Andreone F, Crottini A, Holderied M, Rakotozafy L, Schwitzer C (2014) A new species of the Boophis rappiodes group (Anura, Mantellidae) from the Sahamalaza Peninsula, northwest Madagascar, with acoustic monitoring of its nocturnal calling activity. ZooKeys 435: 111-132. https://doi.org/10.3897/zookeys.435.7383
Figure 3 - Breeding activity of Boophis ankarafensis sp. n.: A Paratype MRSN A6976 B–C Vocalising males sitting on leaves and on a branch (specimens not collected) D Male holotype MRSN A6973 and female A6974 E Couple in axillary amplexus.
Figure 2 from: Rosa G, Penny S, Andreone F, Crottini A, Holderied M, Rakotozafy L, Schwitzer C (2014) A new species of the Boophis rappiodes group (Anura, Mantellidae) from the Sahamalaza Peninsula, northwest Madagascar, with acoustic monitoring of its nocturnal calling activity. ZooKeys 435: 111-132. https://doi.org/10.3897/zookeys.435.7383
Figure 2 - Life colouration of Boophis ankarafensis sp. n.: A Rostral view of a male paratype (MRSN A6975) B Dorsal view of the same male C Female specimen in resting position on a leaf (specimen not collected) D Dorso-lateral view of the holotype with day-time colouration (MRSN A6973).
Assessment of acoustic indices for monitoring phylogenetic and temporal patterns of biodiversity in tropical forests
<b>Description: </b><p>Acostic recordings of bird calls at SAFE in 2014. Four solar-powered Wildlife Song Meter SM3 bioacoustic recorders (Wildlife Acoustics Inc., Concord,<br>MA, USA) were deployed with omni-directional microphones (sensitivity: 20Hz - 20kHz). No exact locations recorded.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/175"><b>Continuous bio-acoustic monitoring (2020 extension)</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=7740620">here</a></p><p><b>Files: </b>This dataset consists of 2 files: Trigg_safedata.xlsx, CLIPS.zip</p><p><b>Trigg_safedata.xlsx</b></p><p>This file contains dataset metadata and 1 data tables:</p><ol><li><p><b>Data</b> (described in worksheet Data)</p><p>Description: excel sheet with clips listed and birds identified</p><p>Number of fields: 7</p><p>Number of data rows: 837</p><p>Fields: </p><ul><li><b>FileNumber</b>: The audio files, which are labelled 1 to 120 (Field type: id)</li><li><b>StartTime</b>: approximate time when the species call began. (Field type: numeric)</li><li><b>EndTime</b>: approximate end time of the call. (Field type: numeric)</li><li><b>original_taxon_names</b>: species that can be heard in the recording. Original version as entered in to worksheet (Field type: comments)</li><li><b>Species</b>: species that can be heard in the recording. Corrected name, spelling mistakes and excess spaces removed etc. (Field type: taxa)</li><li><b>CallType</b>: Type of sound being identified (Field type: categorical)</li><li><b>IdCertainty</b>: Degree of certainty (Field type: categorical)</li></ul></li></ol><p><b>CLIPS.zip</b></p><p>Description: Zip file containing original audio clips used to generate these data</p><p><b>Date range: </b>2015-04-01 to 2015-06-30</p><p><b>Latitudinal extent: </b>4.6000 to 4.8000</p><p><b>Longitudinal extent: </b>117.5000 to 117.7000</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Chordata <br> -  -  -  Mammalia <br> -  -  -  -  Primates <br> -  -  -  -  -  Hylobatidae <br> -  -  -  -  -  -  <i>Hylobates</i> <br> -  -  -  -  -  -  -  <i>Hylobates funereus</i> <br> -  -  -  Aves <br> -  -  -  -  Galliformes <br> -  -  -  -  -  Phasianidae <br> -  -  -  -  -  -  <i>Argusianus</i> <br> -  -  -  -  -  -  -  <i>Argusianus argus</i> <br> -  -  -  -  Bucerotiformes <br> -  -  -  -  -  Bucerotidae <br> -  -  -  -  -  -  <i>Anorrhinus</i> <br> -  -  -  -  -  -  -  <i>Anorrhinus galeritus</i> <br> -  -  -  -  -  -  <i>Buceros</i> <br> -  -  -  -  -  -  -  <i>Buceros rhinoceros</i> <br> -  -  -  -  -  -  <i>Rhinoplax</i> <br> -  -  -  -  -  -  -  <i>Rhinoplax vigil</i> <br> -  -  -  -  Psittaciformes <br> -  -  -  -  -  Psittacidae <br> -  -  -  -  -  -  <i>Loriculus</i> <br> -  -  -  -  -  -  -  <i>Loriculus galgulus</i> <br> -  -  -  -  Passeriformes <br> -  -  -  -  -  Cisticolidae <br> -  -  -  -  -  -  <i>Orthotomus</i> <br> -  -  -  -  -  -  -  <i>Orthotomus ruficeps</i> <br> -  -  -  -  -  -  -  <i>Orthotomus atrogularis</i> <br> -  -  -  -  -  -  -  <i>Orthotomus sericeus</i> <br> -  -  -  -  -  -  <i>Prinia</i> <br> -  -  -  -  -  -  -  <i>Prinia flaviventris</i> <br> -  -  -  -  -  Chloropseidae <br> -  -  -  -  -  -  <i>Chloropsis</i> <br> -  -  -  -  -  -  -  <i>Chloropsis cyanopogon</i> <br> -  -  -  -  -  Aegithinidae <br> -  -  -  -  -  -  <i>Aegithina</i> <br> -  -  -  -  -  -  -  <i>Aegithina viridissima</i> <br> -  -  -  -  -  Pycnonotidae <br> -  -  -  -  -  -  <i>Pycnonotus</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus atriceps</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus simplex</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus erythropthalmos</i> <br> -  -  -  -  -  -  -  <i>Pycnonotus goiavier</i> <br> -  -  -  -  -  -  <i>Alophoixus</i> <br> -  -  -  -  -  -  -  <i>Alophoixus bres</i> <br> -  -  -  -  -  -  <i>Iole</i> <br> -  -  -  -  -  -  -  <i>Iole olivacea</i> <br> -  -  -  -  -  Dicaeidae <br> -  -  -  -  -  -  <i>Prionochilus</i> <br> -  -  -  -  -  -  -  <i>Prionochilus xanthopygius</i> <br> -  -  -  -  -  -  <i>Dicaeum</i> <br> -  -  -  -  -  -  -  <i>Dicaeum trigonostigma</i> <br> -  -  -  -  -  Monarchidae <br> -  -  -  -  -  -  <i>Hypothymis</i> <br> -  -  -  -  -  -  -  <i>Hypothymis azurea</i> <br> -  -  -  -  -  -  <i>Rhipidura</i> <br> -  -  -  -  -  -  -  <i>Rhipidura javanica</i> <br> -  -  -  -  -  Irenidae <br> -  -  -  -  -  -  <i>Irena</i> <br> -  -  -  -  -  -  -  <i>Irena puella</i> <br> -  -  -  -  -  Muscicapidae <br> -  -  -  -  -  -  <i>Trichixos</i> <br> -  -  -  -  -  -  -  <i>Trichixos pyrropygus</i> <br> -  -  -  -  -  Tephrodornithidae <br> -  -  -  -  -  -  <i>Hemipus</i> <br> -  -  -  -  -  -  -  <i>Hemipus picatus</i> <br> -  -  -  -  -  -  -  <i>Hemipus hirundinaceus</i> <br> -  -  -  -  -  Pellorneidae <br> -  -  -  -  -  -  <i>Kenopia</i> <br> -  -  -  -  -  -  -  <i>Kenopia striata</i> <br> -  -  -  -  -  -  <i>Pellorneum</i> <br> -  -  -  -  -  -  -  <i>Pellorneum capistratum</i> <br> -  -  -  -  -  -  -  <i>Pellorneum bicolor</i> <br> -  -  -  -  -  -  <i>Malacopteron</i> <br> -  -  -  -  -  -  -  <i>Malacopteron affine</i> <br> -  -  -  -  -  -  <i>Malacocincla</i> <br> -  -  -  -  -  -  -  <i>Malacocincla malaccensis</i> <br> -  -  -  -  -  -  <i>Alcippe</i> <br> -  -  -  -  -  -  -  <i>Alcippe brunneicauda</i> <br> -  -  -  -  -  Corvidae <br> -  -  -  -  -  -  <i>Corvus</i> <br> -  -  -  -  -  -  -  <i>Corvus enca</i> <br> -  -  -  -  -  Acanthizidae <br> -  -  -  -  -  -  <i>Gerygone</i> <br> -  -  -  -  -  -  -  <i>Gerygone sulphurea</i> <br> -  -  -  -  -  Timaliidae <br> -  -  -  -  -  -  <i>Cyanoderma</i> <br> -  -  -  -  -  -  -  <i>Cyanoderma erythropterum</i> <br> -  -  -  -  -  -  -  <i>Cyanoderma rufifrons</i> <br> -  -  -  -  -  -  <i>Mixornis</i> <br> -  -  -  -  -  -  -  <i>Mixornis bornensis</i> <br> -  -  -  -  -  -  <i>Macronus</i> <br> -  -  -  -  -  -  -  <i>Macronus ptilosus</i> <br> -  -  -  -  -  -  <i>Stachyris</i> <br> -  -  -  -  -  -  -  <i>Stachyris maculata</i> <br> -  -  -  -  -  -  -  <i>Stachyris poliocephala</i> <br> -  -  -  -  -  -  <i>Pomatorhinus</i> <br> -  -  -  -  -  -  -  <i>Pomatorhinus montanus</i> <br> -  -  -  -  -  Nectariniidae <br> -  -  -  -  -  -  <i>Anthreptes</i> <br> -  -  -  -  -  -  -  <i>Anthreptes simplex</i> <br> -  -  -  -  -  -  <i>Arachnothera</i> <br> -  -  -  -  -  -  -  <i>Arachnothera longirostra</i> <br> -  -  -  -  -  -  -  <i>Arachnothera affinis</i> <br> -  -  -  -  -  Eurylaimidae <br> -  -  -  -  -  -  <i>Eurylaimus</i> <br> -  -  -  -  -  -  -  <i>Eurylaimus ochromalus</i> <br> -  -  -  -  Piciformes <br> -  -  -  -  -  Ramphastidae <br> -  -  -  -  -  -  <i>Megalaima</i> <br> -  -  -  -  -  -  -  <i>Megalaima australis</i> <br> -  -  -  -  -  -  -  -  <i>Megalaima australis duvaucelii</i> (as homotypic_synonym: <i>Psilopogon duvaucelii</i>)<br> -  -  -  -  -  Picidae <br> -  -  -  -  -  -  <i>Meiglyptes</i> <br> -  -  -  -  -  -  -  <i>Meiglyptes tukki</i> <br> -  -  -  -  -  -  <i>Dinopium</i> <br> -  -  -  -  -  -  -  <i>Dinopium rafflesii</i> <br> -  -  -  -  -  -  <i>Blythipicus</i> <br> -  -  -  -  -  -  -  <i>Blythipicus rubiginosus</i> <br> -  -  -  -  -  -  <i>Mulleripicus</i> <br> -  -  -  -  -  -  -  <i>Mulleripicus pulverulentus</i> <br> -  -  -  -  Cuculiformes <br> -  -  -  -  -  Cuculidae <br> -  -  -  -  -  -  <i>Cacomantis</i> <br> -  -  -  -  -  -  -  <i>Cacomantis sonneratii</i> <br> -  -  -  -  -  -  -  <i>Cacomantis merulinus</i> <br> -  -  -  -  -  -  <i>Rhinortha</i> <br> -  -  -  -  -  -  -  <i>Rhinortha chlorophaea</i> <br> -  -  -  -  -  -  <i>Cuculus</i> <br> -  -  -  -  -  -  -  <i>Cuculus vagans</i> <br> -  -  -  -  -  -  <i>Centropus</i> <br> -  -  -  -  -  -  -  <i>Centropus sinensis</i> <br> -  -  -  -  Columbiformes <br> -  -  -  -  -  Columbidae <br> -  -  -  -  -  -  <i>Chalcophaps</i> <br> -  -  -  -  -  -  -  <i>Chalcophaps indica</i> <br></div><p></p>
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.