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.
1,719
datasets available to search
ShareScore release 0.9.0
Dataset results
1,719 results for “songs”
Figure 5 in Run to the nest: A parody on the Iron Maiden song by Corotoca spp. (Coleoptera, Staphylinidae)
Figure 5. This model-chart represents the numbers of individuals leaving the nests each hour, by species (individuals leaving the nests during the 60 minutes that compose a given hour are grouped within the same hour).
Figure 1 in Run to the nest: A parody on the Iron Maiden song by Corotoca spp. (Coleoptera, Staphylinidae)
Figure 1. São João do Cariri Experimental Station (ESSJC). The station is located in a semiarid environment with some ongoing processes of desertification. Efforts are currently being made to aid the recovery of the local fauna and flora.
Perineuronal nets in HVC and plasticity in male canary song
<p>Songbirds learn their vocalizations during developmental sensitive periods of song memorization and sensorimotor learning. Some seasonal songbirds, called open-ended learners, recapitulate transitions from sensorimotor learning and song crystallization on a seasonal basis during adulthood. In adult male canaries, sensorimotor learning occurs each year in autumn and leads to modifications of the syllable repertoire during successive breeding seasons. We previously showed that perineuronal nets (PNN) expression in song control nuclei decreases during this sensorimotor learning period. Here we explored the causal link between PNN expression in adult canaries and song modification by enzymatically degrading PNN in HVC, a key song control system nucleus. Three independent experiments identified limited effects of the PNN degradation in HVC on the song structure of male canaries. They clearly establish that presence of PNN in HVC is not required to maintain general features of crystallized song. Some suggestion was collected that PNN are implicated in the stability of song repertoires but this evidence is too preliminary to draw firm conclusions and additional investigations should consider producing PNN degradations at specified time points of the seasonal cycle. It also remains possible that once song has been crystallized at the beginning of the first breeding season, PNN no longer play a key role in determining song structure; this could be tested by treatments with chondroitinase ABC at key steps in ontogeny. It would in this context be important to develop multiple stereotaxic procedures allowing the simultaneous bilateral degradation of PNN in several song control nuclei for extended periods.</p>
Novel Datasets for Evaluating Song Popularity Prediction Tasks
<p>We present two novel datasets for hit song prediction (HSP): HSP-S and HSP-L. They are substantially larger than currently available dataset with respect to the number of features contained.</p> <p>Both datasets provide high- and low-level audio features stemming from <a href="https://acousticbrainz.org/data">AcousticBrainz</a> and short representative MP3 samples. Further, we include listener- and play-counts gathered from <a href="https://www.last.fm">last.fm</a> for both datasets. The larger dataset, HSP-L, contains 73,482 songs with audio features, listener- and play-counts, making it substantially larger than previous datasets. In addition, we provide the release year information for 65,575 songs as provided by the <a href="https://millionsongdataset.com">Million Song Dataset</a>.<br> The smaller dataset, HSP-S, contains 7,736 songs, listener- and play-counts as well as <a href="https://www.officialcharts.com/charts/billboard-hot-100-chart/">Billboard Hot 100</a> data for 50% of the songs, and release year information is available for 7,449 songs.</p>
Machine Learning for Bird Song Learning (ML4BL) dataset
<p><strong>General description</strong></p> <p>This dataset contains Zebra Finch decisions about perceptual similarity on song units. All the data and files are used for reproducing the results of the paper 'Bird song comparison using deep learning trained from avian perceptual judgments' by the same authors. </p> <p><strong>Git repo on Zenodo:</strong> <a href="https://doi.org/10.5281/zenodo.5545932">https://doi.org/10.5281/zenodo.5545932</a><br> <strong>Git repo access: </strong><a href="https://github.com/veronicamorfi/ml4bl/tree/v1.0.0">https://github.com/veronicamorfi/ml4bl/tree/v1.0.0</a></p> <p><strong>Directory organisation:</strong><br> ML4BL_ZF<br> |_files<br> |_Final_probes_20200816.csv - all trials and decisions of the birds (aviary 1 cycle 1 data are removed from experiments)<br> |_luscinia_triplets_filtered.csv - triplets to use for training<br> |_mean_std_luscinia_pretraining.pckl - mean and std of luscinia triplets used for trianing<br> |_*_cons_* - % side consistency on triplets (train/test) - train set contains both train and val splits<br> |_*_gt_* - cycle accuracy for triplets of the specific bird (train/test) - train set contains both train and val splits<br> |_*_trials_* - number of decisions made for a triplet (train/test) - train set contains both train and val splits<br> |_*_triplets_* - triplet information (aviary_cycle-acc_birdID, POS, NEG, ANC) (train/test) - train set contains both train and val splits<br> |_*_low*_ - low-margin (ambiguous) triplets (train/val/test)<br> |_*_high_ - high-margin (unambiguous) triplets (train/val/test)<br> |_*_cycle_bird_keys_* - unique aviary_cycle-acc_birdID keys (train/test) - train set contains both train and val splits<br> |_TunedLusciniaV1e.csv - pairwise distance of two recordings computed by Luscinia<br> |_training_setup_1_ordered_acc_single_cons_50_70_trials.pckl - dictionary containing everything needed for training the model (keys: 'train_keys', 'train_triplets', 'val_keys', 'vali_triplets', 'test_triplets', 'test_keys', 'train_mean', 'train_std')<br> |_melspecs - *.pckl - melspectrograms of recordings<br> |_wavs - *wav - recordings<br> |_README.txt</p> <p><strong>Recordings</strong></p> <p>887 syllables extracted from zebra finch song recordings, with a sampling rate of 48kHz and high pass filtered (100Hz), with a 20ms intro/outro fade. </p> <p><strong>Decisions</strong></p> <p>Triplets were created from the recordings and the birds made side based decisions about their similarity (see 'Bird song comparison using deep learning trained from avian perceptual judgments' for further information).</p> <p><strong>Training dictionary Information</strong></p> <p>Dictionary keys:<br> 'train_keys', 'train_triplets', 'val_keys', 'vali_triplets', 'test_triplets', 'test_keys', 'train_mean', 'train_std'</p> <p>train_triplets/vali_triplets/test_triplets: <br> Aviary_Cycle_birdID, POS, NEG, ANC, Decisions, Cycle_ACC(%), Consistency(%)<br> <br> train_keys/val_keys/test_keys:<br> Aviary_Cycle_birdID</p> <p>train_mean/train_std:<br> shape: (1, mel_bins)</p> <p> </p> <p><strong>Open Access</strong></p> <p>This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.</p> <p><br> <strong>Contact info</strong></p> <p>Please send any questions about the recordings to:<br> Lies Zandberg: Elisabeth.Zandberg@rhul.ac.uk</p> <p>Please send any feedback or questions about the code and the rest of the data to:<br> Veronica Morfi: g.v.morfi@qmul.ac.uk</p>
Ecological and evolutionary drivers of geographic variation in songs of a Neotropical suboscine bird: The Drab-breasted Bamboo Tyrant (Hemitriccus diops, Rhynchocyclidae)
<p>Understanding the evolutionary and ecological mechanisms that shape the spatial divergence of signals involved in reproductive isolation is a central goal in studies of speciation. For birds with innate songs, such as the suboscine passerine birds, the integration and comparison of both genetic and ecological factors in explaining song variation at the microevolutionary scale is rare. Here we evaluated the evolutionary and ecological processes underlying the variation in the songs of the Atlantic Forest endemic Drab-breasted Bamboo Tyrant (<i>Hemitriccus diops</i>), testing the effects of both stochastic and adaptive processes, namely the Stochastic and Adaptation Acoustic Hypotheses, respectively. We combined vocal, genetic and ecological (climate and forest cover) data across the species' range. To this end, we analyzed 89 samples of long and short songs. We performed analyses on raw and synthetic data song variables with linear mixed models and multivariate statistics. Our results show that both song types differ in spectral features between the two extant phylogeographic lineages of this species, but such vocal divergence is weak and subtle in both song types. Overall, there is a positive relationship of acoustic distances with the amount of forest cover in long songs. Our results suggest that there is cryptic geographical variation in both song types and that this variation is associated with low levels of genetic divergence in both songs and with ecological factors in long songs.</p>
Wikidata Dump English-language Songs
<p>RDF dump of wikidata produced with <a href="//wdumps.toolforge.org/">wdumper</a>.</p><p><br><a href="//wdumps.toolforge.org/dump/2782">View on wdumper</a></p><p><b>entity count<b>: 0, <b>statement count</b>: 0, <b>triple count</b>: 0</b></b></p>
Cross-cultural music corpus: The Natural History of Song Discography (randomized 14s excerpts)
<p>This repository contains 14-second excerpts of the <em>Natural History of Song</em> Discography. The audio corpus was originally published in Mehr et al. (2019, Science) and the full audio files are available via DUA on the Harvard Dataverse (<a href="https://doi.org/10.7910/DVN/SESAO1">https://doi.org/10.7910/DVN/SESAO1</a>). This repository makes available the excerpts of each track, under Fair Use, given their brief length (14 seconds each). These were also used in other papers (e.g., Mehr & Singh et al., 2018, Current Biology; Bainbridge & Bertolo et al., 2021, Nature Human Behaviour; Hilton & Crowley-de Thierry et al., 2022, JEP:General; Yurdum et al., 2023, PNAS) and are concurrently posted on the Open Science Framework (<a href="https://osf.io/vcybz/">https://osf.io/vcybz/</a>). They are permanently archived here for easier accessibility.</p> <p>Other Natural History of Song data, including staff-notation transcriptions of all the songs, are available at <a href="https://osf.io/jmv3q/">https://osf.io/jmv3q/</a>. There is also an expanded version of the corpus, with 1007 songs (including all 118 of the original NHS songs, available on Zenodo at <a href="https://doi.org/10.5281/zenodo.8237500">https://doi.org/10.5281/zenodo.8237500</a>.</p> <p>The audio excerpts are provided in MP3 format for use in perception experiments. There are 118 excerpts. Each row of <strong>NHSDiscography-metadata.csv </strong>corresponds to one song, and provides general information about each song, including original sources. <strong>NHSDiscography-codebook.pdf</strong> summarizes the types of metadata available. Both these documents were originally published in Mehr et al. (2019, Science), along with the original corpus, and quite a bit of other information concerning how the corpus was built (<a href="https://www.science.org/doi/10.1126/science.aax0868">https://www.science.org/doi/10.1126/science.aax0868</a>). </p> <p>Please contact Samuel Mehr (<a href="mailto:sam@yale.edu">sam@yale.edu</a>) if you have questions concerning the use of these audio files.</p>
Folk children's songs with tragic elements
<p>The database collects the results of manual content analysis, formal analysis of the lyrics and musical analysis of the scores of a corpus of 506 Spanish children's folk songs identified as tragic by a previous analysis.</p>
Evolutionary conservation and diversification of auditory neural circuits that process courtship songs in Drosophila
<p><span>Acoustic communication signals diversify even on short evolutionary time scales. To understand how the auditory system underlying acoustic communication could evolve, we conducted a systematic comparison of the early stages of the auditory neural circuit involved in song information processing between closely-related fruit-fly species. Male <em>Drosophila</em> <em>melanogaster</em> and <em>D</em>. <em>simulans</em> produce different sound signals during mating rituals, known as courtship songs. Female flies from these species selectively increase their receptivity when they hear songs with conspecific temporal patterns. Here, we first confirmed interspecific differences in temporal pattern preferences; <em>D</em>. <em>simulans</em> preferred pulse songs with longer intervals than <em>D</em>. <em>melanogaster</em>. Primary and secondary song-relay neurons, JO neurons and AMMC-B1 neurons, shared similar morphology and neurotransmitters between species. The temporal pattern preferences of AMMC-B1 neurons were also relatively similar between species, with slight but significant differences in their band-pass properties. Although the shift direction of the response property matched that of the behavior, these differences are not large enough to explain behavioral differences in song preferences. This study enhances our understanding of the conservation and diversification of the architecture of the early-stage neural circuit which processes acoustic communication signals.</span></p>
Data for: Male-specific nocturnal song functions similar to day song in a diurnal bird species
<p class="MsoNormal">Historically, birdsong research has been biased towards song of male birds at dawn and during the day, even though some diurnal birds sing at night. To address this gap, we studied how song in the willie wagtail, <em>Rhipidura leucophrys</em>—a diurnal species with prolific male-specific nocturnal song during the breeding season—varies with time of day, breeding status, and simulated intrusions. <span>We recorded male nocturnal and dawn song over three breeding seasons and examined how this related to fertile and non-fertile breeding stages of females. To test whether song functions for territory defence, we simulated territorial intrusion experimentally in both sexes with daytime and nighttime playback of male and female song. To test whether nocturnal song could function for mate guarding or post-pairing mate attraction, we describe the mating system of willie wagtails using molecular genetic methods. We showed that both nocturnal and daytime song of male willie wagtails has roles in mate attraction and territory defence, while daytime song by females functioned primarily for territorial defence. </span>Males increased song behaviour during fertile periods of resident females, suggesting possible roles in mate stimulation and mate guarding. <span>Males and females responded similarly to simulated daytime intrusions and no differences were seen in male responses dependent on the time of day.</span> We found 10%-14% of offspring were fathered by extra-pair males, suggesting song may also function for mate guarding and post-pairing mate attraction<span>.</span><span> In a species with small repertoires and simple songs like the willie wagtail, differences between males in overall song output achieved through nocturnal singing may be important in mate attraction and territory defence.</span></p>
A preliminary comparison of a songbird's song repertoire size and other song measures between an urban and a rural site
<p>Characteristics of birdsong, especially minimum frequency, have been shown to vary for some species between urban and rural populations and along urban-rural gradients. However, few urban-rural comparisons of song complexity—and none that we know of based on the number of distinct song types in repertoires—have occurred. Given the potential ability of song repertoire size to indicate bird condition, we primarily sought to determine if number of distinct song types displayed by Song Sparrows (<i>Melospiza melodia</i>) varied between an urban and a rural site. We determined song repertoire size of 24 individuals; 12 were at an urban ('human-dominated') site and 12 were at a rural ('agricultural') site. Then, we compared song repertoire size, note rate, and peak frequency between these sites. Song repertoire size and note rate did not vary between our human-dominated and agricultural sites. Peak frequency was greater at the agricultural site. Our finding that peak frequency was higher at the agricultural site compared to the human-dominated site, contrary to many previous findings pertaining to frequency shifts in songbirds, warrants further investigation. Results of our pilot study suggest that song complexity may be less affected by anthropogenic factors in Song Sparrows than are frequency characteristics. <a name="_Hlk80603521">Additional study, however, will be required to identify particular causal factors related to the trends that we report and to replicate, ideally via multiple urban-rural pairings, so that broader generalization is possible. </a></p>
Audio files and dataset: Guess who? Evaluating individual acoustic monitoring for males and females of the Tawny Pipit, a migratory passerine bird with a simple song
<p>We have uploaded the audio files (song files + recording files) and the dataset of the analysis conducted in our manuscript entitled ''Guess who? Evaluating individual acoustic monitoring for males and females of the<br> Tawny Pipit, a migratory passerine bird with a simple song''. This study is published in the scientific journal ''Journal of Ornithology''. We have also provided a txt. file, called 'Read me' explaining the uploaded data in more detail.</p>
SHS-YouTube1300: A YouTube-based Cover Song Dataset (CQT Spectograms)
<p>These are the CQT Spectograms for our SHS-YouTube-1300 dataset. This is a subset of our crawl based on the SHS100K dataset and contains YouTube videos of which a subset was annotated by crowd-workers and in-house annotators.</p>
Data from: Variable ambient temperature promotes song learning and production in zebra finches
<p>This data set contains the data used in the analysis of the article titled: Variable ambient temperature promotes song learning and production in zebra finches.</p>
SHS-YouTube1300: A YouTube-based Cover Song Dataset
<p>This is the repository for the SHS-YouTube1300 dataset. A dataset of cover versions from YouTube.</p>
Data for: The relationships of breeding stage to daytime singing behaviour and song perch height in Bermuda White-eyed Vireos (Vireo griseus bermudianus)
<p><span>Bird song is crucial for attracting mates and defending territories, but different types of song or different singing behaviours may be involved in acquiring or maintaining each resource. Furthermore, male songbirds may adjust when and where they sing throughout the breeding season, depending on their breeding stage. However, such relationships remain untested in several avian taxa. Here, we studied male Bermuda White-eyed Vireos (<em>Vireo griseus bermudianus</em>), a passerine with two distinct song types (discrete and rambling), to test the mate attraction and territory defence hypotheses. We compare song production and song perch height among different stages of the breeding season and during the non-breeding season. We show that male vireos produce both song types during the breeding and non-breeding seasons, suggesting dual roles in mate choice and territorial defence. Song production did not differ significantly between the breeding and non-breeding seasons, but, within the breeding season, males without nesting duties sang significantly more songs than males with nesting duties. Song perch height was higher during the breeding season versus non-breeding season, among males without nesting duties compared to males with nesting duties, and when males produced discrete versus rambling songs. Our findings suggest that male vireos increase their conspicuousness to prospecting females by increasing song production and song perch height, and that they sing during the breeding and non-breeding seasons to defend year-round territories. Collectively, our study supports the mate attraction and territory defence hypotheses of bird song.</span></p>
Physiological constraints and cognitive chunking in Zebra Finch songs: Data and R script
<p>Learned bird songs often have a hierarchical organization. In the case of zebra finches, each bird's song is made up of a string of notes delivered in a stereotyped sequence to form a "motif", and motifs are repeated to form a song bout. During song learning, young males copy "chunks" of two or more consecutive notes from their tutors' songs. These chunks are represented as distinct units within memory (during learning) and within motor systems (during song production). During song performance, motifs may deviate from the learned sequence by stopping short, starting late, or by skipping, inserting or repeating notes. We measured acoustic and temporal variables related to the respiratory and vocal physiology of song production and asked how they related to deviations from each bird's "canonical" sequence. The best predictor of deviations from that sequence was the duration of the silent interval between notes, when inspiration normally occurs. Deviations from the canonical motif occurred less often after higher-pitched notes, perhaps because a high-low sequence forms a prosodic unit. Premature stops often followed louder and longer notes, suggesting that respiratory and muscular physiology influence the location of such stops. Boundaries between the learned chunks of a male's motif predicted where and how often non-canonical starts occurred. Physiological and cognitive elements also interacted to define the segmentation of zebra finch song sequences. Long silent intervals between notes were associated both with physiology (inspirations) and with the cognitive boundaries of learned chunks – and hence with deviations from the canonical motif.</p>
Data for: A novel cricket morph has diverged in song and wing morphology across island populations
<p class="MsoNormal"><span>Divergence of sexual signals between populations can lead to speciation, yet opportunities to study the immediate aftermath of novel signal evolution are rare. The recent emergence and spread of a new mating song, purring, in Hawaiian populations of the Pacific field cricket (<em>Teleogryllus oceanicus</em>) allows us to investigate population divergence soon after the origin of a new signal. Male crickets produce songs with specialized wing structures to attract mates from afar (calling) and entice them to mate when found (courtship). However, in Hawaii, these songs also attract an eavesdropping parasitoid fly (<em>Ormia ochracea</em>) that kills singing males. The novel purring song, produced with heavily modified wing morphology, attracts female crickets but not the parasitoid fly, acting as a solution to this conflict between natural and sexual selection. We've since observed increasing numbers of purring males across Hawaii. In this integrative field study, we investigated the distribution of purring and the proportion of purring males relative to other morphs in six populations on four islands and compared a suite of phenotypic traits (wing morphology, calling song, and courtship song) that make up this novel signal across populations of purring males. We show that purring is found in varying proportions across five, and is locally dominant in four, Hawaiian populations. We also show that calling songs, courtship songs, and wing morphology of purring males differ geographically. Our findings demonstrate the rapid pace of evolution in island populations and provide insights into the emergence and divergence of new sexual signals over time.</span></p>
Song Noir Chinese Shaped Vase
Referenced off of the beautiful Song Noir Chinoiserie Shaped Vase by Frontgate Chinoiseries are European interpretations of Chinese & other East Asian artifacts. **Credit me if used in projects** Source: Objaverse 1.0 / Sketchfab
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.