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20 results for “raga”
Indian Art Music Raga Recognition Dataset (features)
<p>The <strong>Rāga Recognition Datasets (features)</strong> comprise two sizable datasets, one for each music tradition: the <strong>Carnatic Music Dataset (CMD)</strong> and the <strong>Hindustani Music Dataset (HMD)</strong>. Each dataset entry includes features such as <strong>pitch</strong>, <strong>tonic</strong>, and <strong>nyas</strong> and <strong>tani</strong> segments. These datasets can be used to develop and evaluate approaches for automatic rāga recognition in Indian art music. To the best of our knowledge, they are the largest and most comprehensive datasets (in terms of available metadata) ever used for studying this task.</p> <p>This repository only contains the metadata and computed features for the dataset, and shared in open access. To get the audio, please refer <a href="https://zenodo.org/records/7278511" target="_blank" rel="noopener">to this zenodo entry</a> and submit your request.</p> <p> </p> <p>Please cite the following publications if you use the material shared here in your research work.</p> <blockquote> <p>Gulati, S., Serrà, J., Ganguli, K. K., ¸Sentürk, S., & Serra, X. (2016). Time-delayed melody surfaces for raga recognition. In Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR), pp. 751–757. New York, USA. [<a href="http://hdl.handle.net/10230/33117">Postprint PDF</a>]</p> </blockquote> <blockquote> <p>Gulati, S., Serrà, J., Ishwar, V., ¸Sentürk, S., & Serra, X. (2016). Phrase-based raga recognition using vector space modeling. In Proceedings of the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 66–70. Shanghai, China. [<a href="http://hdl.handle.net/10230/32879">Postprint PDF</a>]</p> </blockquote> <p> </p> <h2>Annotation Format</h2> <p>We provide both tsv files and json files that contain information about each audio recording in terms of its mbid, the path of the audio/feature files and the associated rāga identifier. Each rāga is assigned a unique identifier by Dunya, which is similar to the mbid in terms of purpose. We also provide a mapping of the rāga id to its transliterated name.</p> <h2>Mirdata</h2> <p>This dataset is included in <a href="https://github.com/mir-dataset-loaders/mirdata">mirdata</a>. Use the following code snippet to access the dataset in mirdata.</p> <pre><code># Import midata import mirdata # Initialize dataset dataset_name = 'compmusic_raga' data_home = 'mirdata/dataset' dataset = mirdata.initialize(dataset_name, data_home=data_home) # Download dataset dataset.download() # Validate dataset dataset.validate() # Load dataset as a dictionary with track ids as keys and track objects as values data = dataset.load_tracks()</code></pre> <p>In order to load the audio files in mirdata, they must be requested beforehand and placed in the data home directory.</p> <h2>Contact </h2> <p>If you have any questions or comments about the dataset, please feel free to email:</p> <p><a href="mailto:mtg-info@upf.edu">mtg-info@upf.edu</a></p> <p> </p>
Fig. 7 in Heterophyid trematodes (Digenea) from penguins: A new species of Ascocotyle Looss, 1899, first description of metacercaria of Ascocotyle (A.) patagoniensis Hernández-Orts, Montero, Crespo, García, Raga and Aznar, 2012, and first molecular data
Fig. 7. Bayesian inference (BI) phylogram based on the partial (D1–D3 domains) sequences of 28S rDNA for the Opisthorchioidea. Posterior probability values are given above the branches. Support values with <0.95 posterior probability are omitted. The branch length scale-bar indicates the expected number of substitutions per site. The newly-generated sequences are highlighted in bold. Species of Ascocotyle are indicated in blue and the respective clade is demarcated with yellow rectangular. Doted rectangular outline the members of the family Heterophyidae. Outgroup taxa are represented in grey colour. The respective definitive hosts are symbol indicated on the tree. Abbreviations: Ad, Adult; MTC, metacercaria. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Heterophyid trematodes (Digenea) from penguins: A new species of Ascocotyle Looss, 1899, first description of metacercaria of Ascocotyle (A.) patagoniensis Hernández-Orts, Montero, Crespo, García, Raga and Aznar, 2012, and first molecular data
Fig. 5. Ascocotyle (Ascocotyle) patagoniensis Hernández-Orts, Montero, Crespo, García, Raga and Aznar, 2012'. Adults from the intestine of Spheniscus magellanicus (A and B) and metacercariae from the heart of Odontesthes argentinensis, Patagonia, Argentina. (C–E). (A) Total, ventral view, voucher (MLP-He 7503). (B) Anterior end with circumoral spines, voucher (IPCAS D-786). (C) Total, ventral view. (D) Middle part of body with ventrogenital complex, ventral view. (E) Anterior end with circumoral spines.
Fig. 4 in Heterophyid trematodes (Digenea) from penguins: A new species of Ascocotyle Looss, 1899, first description of metacercaria of Ascocotyle (A.) patagoniensis Hernández-Orts, Montero, Crespo, García, Raga and Aznar, 2012, and first molecular data
Fig. 4. Ascocotyle (Phagicola) cameliae n. sp. from the intestine Spheniscus magellanicus collected in Patagonia, Argentina. Scanning electron micrographs. (A) Detail of circumoral spines; note absence of tegumental spines. (B). Detail of papillae in region devoid of tegumental spines. (C and D) Detail of the mouth of the ventrogenital sac; note gonotyl in (D). (E) Posterior end, ventral view; note simple tegumental spines reaching up to the posterior extremity. (F) Pectinate (with 4–5 digit-like processes – teeth) tegumental spines on the anterior part of the body. (G) Pectinate (with 2–3 digit-like processes) tegumental spines on the middle part of the body. (H) Simple or 2- toothed tegumental spines on the posterior part of the body.
Fig. 3 in Heterophyid trematodes (Digenea) from penguins: A new species of Ascocotyle Looss, 1899, first description of metacercaria of Ascocotyle (A.) patagoniensis Hernández-Orts, Montero, Crespo, García, Raga and Aznar, 2012, and first molecular data
Fig. 3. Ascocotyle (Phagicola) cameliae n. sp. from the intestine of Spheniscus magellanicus collected in Patagonia, Argentina. (A–D) Anterior end with circumoral spines; note variation in spine number, 22 spines (A and B), 19 spines (C) and 24 spines (D). (E) Terminal genitalia, ventral view of paratype (IPCAS D-805).
Fig. 1 in Heterophyid trematodes (Digenea) from penguins: A new species of Ascocotyle Looss, 1899, first description of metacercaria of Ascocotyle (A.) patagoniensis Hernández-Orts, Montero, Crespo, García, Raga and Aznar, 2012, and first molecular data
Fig. 1. Ascocotyle (Phagicola) cameliae n. sp. from the intestine of Spheniscus magellanicus collected in Patagonia, Argentina. (A) Total, ventral view of holotype (MLPHe 7501). (B) Total, dorsal view of paratype (IPCAS D-805).
Fig. 2 in Heterophyid trematodes (Digenea) from penguins: A new species of Ascocotyle Looss, 1899, first description of metacercaria of Ascocotyle (A.) patagoniensis Hernández-Orts, Montero, Crespo, García, Raga and Aznar, 2012, and first molecular data
Fig. 2. Ascocotyle (Phagicola) cameliae n. sp. from the intestine Spheniscus magellanicus collected in Patagonia, Argentina. Scanning electron micrographs. (A and B) Total, ventral view. (C and D). Anterior end, apical view. (E). Anterior end, ventral view.
Fig. 6 in Heterophyid trematodes (Digenea) from penguins: A new species of Ascocotyle Looss, 1899, first description of metacercaria of Ascocotyle (A.) patagoniensis Hernández-Orts, Montero, Crespo, García, Raga and Aznar, 2012, and first molecular data
Fig. 6. Bayesian inference (BI) phylogram based on the partial (D1–D3 domains) sequences of 28S rDNA for the species of Ascocotyle. Posterior probability values are given above the branches. Support values with <0.95 posterior probability are omitted. The branch length scale-bar indicates the expected number of substitutions per site. The newly-generated sequences are colour indicated (in blue) and highlighted in bold. The outgroup is represented in grey colour. Host origins of the specimens sequenced are symbol indicated on the tree. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 6. Habitus, lateral view. A. Ragas unica Walker, 1837 in Revision and morphological analysis of the Ragadidae (Insecta, Diptera)
Fig. 6. Habitus, lateral view. A. Ragas unica Walker, 1837, head and fore leg (NHRS). B. Iteaphila macquarti Zetterstedt, 1838, antenna (NHRS). C. Iteaphila macquarti, head and fore leg (NHRS). D. Ragas unica, mouthparts (NHRS). E. Iteaphila macquarti, mouthparts (NHRS). F. Ragas unica, 1 ♂, genitalia, lateral (NHRS). G. Ragas unica, 1 ♂, right epandrial lobe, dorsal (NHRS). H. Iteaphila macquarti, 1 ♂, genitalia, lateral (NHRS).
Fig. 2. Habitus, lateral view. A. Ragas unica Walker, 1837 in Revision and morphological analysis of the Ragadidae (Insecta, Diptera)
Fig. 2. Habitus, lateral view. A. Ragas unica Walker, 1837, ♀, lectotype (UZIL 2629:1; photo courtesy of Rune Bygebjerg, UZIL). B. Ragas unica, 1 ♀ (NHRS). C. Dipsomyia spinifera Bezzi, 1909, ♀, holotype (MTD).
Raga Ornamentation Detection (ROD)
<p>The Raga Ornamentation Detection (ROD) dataset is composed of 212 audio files of varying lengths recorded by two expert musicians. Singer 1 performed 108 recordings, while singer 2 produced 104. In total, the data set contains 4.08 hours of audio. In addition to the audio files, the dataset also includes accompaniments like drone Tanpura and percussion (Tabla). The audio files are labelled in the strong labelling fashion.</p>
RSL distribution data in Palikir crater and Raga crater on Martian surface
<p>This dataset includes the RSL distribution data in Palikir crater and Raga crater on the Martian surface as reported in an article by Shuo Liu, Bo Wu et al. (Time-Series Variations of Recurring Slope Lineae on Mars Suggest Contemporary Water Activity from Bedrock Aquifer Melting).</p>
Indian Ragas on Health - a Electrophysiological Study (RAGA-1)
ClinicalTrials.gov study NCT02691585. IPD Sharing: NO. Countries: 1. Publications: 1.
Fig. 9. Right wing. A. Ragas unica Walker, 1837 in Revision and morphological analysis of the Ragadidae (Insecta, Diptera)
Fig. 9. Right wing. A. Ragas unica Walker, 1837, drawing with terminology on characters (left) and photo (right) (NHRS). B. Dipsomyia spinifera Bezzi, 1909 (MTD). C. Hydropeza longipennae (Miller, 1923) (dark colour is from underlying board to which the wing is glued) (NZAC 04021412). D. Zanclotus dioktes Wilder, 1982 (USNM). E. Iteaphila macquarti Zetterstedt, 1838 (NHRS). F. Anthepiscopus oedalinus (Zetterstedt, 1838) (NHRS-GULI000058764). G. Hormopeza obliterata Zetterstedt, 1838 (NHRS-000061621).
Selected Alap Phrases in Raga Multani
<p>Selected Phrases from an alap performance in raga Multani by sitarist Dharambir Sing.</p>
Nociceptor translational profiling reveals the RagA-mTORC1 network as a critical generator of neuropathic pain
GEO Series GSE113941. Mus musculus. 18 samples. Type: Expression profiling by high throughput sequencing.
Indian Art Music Raga Recognition Dataset (audio)
<p>The <strong>Rāga Recognition Datasets (audio)</strong> comprise two sizable datasets, one for each music tradition: the <strong>Carnatic Music Dataset (CMD)</strong> and the <strong>Hindustani Music Dataset (HMD)</strong>. This repository contains audio files that complement the features provided in the <strong><a href="https://zenodo.org/records/7278506">Rāga Recognition (features</a>)</strong> dataset. As the audio files are copyrighted, they must be <strong>requested through this repository</strong>.</p>
Select Indian Ragas on Electrophysiological Parameters
ClinicalTrials.gov study NCT03790462. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of feeding on gene expression in WT, raga-1, and rsks-1 mutant animals
GEO Series GSE272718. Caenorhabditis elegans. 18 samples. Type: Expression profiling by high throughput sequencing.
HAR: Hindustani Alankaar and Raga Dataset
<p><strong>Dataset Introduction: </strong>The repository contains Hindustani alankaars and ragas sung by two female vocalists in separate zip files. There are a total of 523 audio files, where each vocalist has recorded 259 and 264 files, respectively. The total duration of the dataset is 6.84 hours. The accompanying instruments are tanpura, tabla, metronome, and swar mandala.</p> <p><strong>Annotations in the dataset:</strong> Annotations are provided in csv files. Each csv file has two columns. The first column represents the time stamps (in seconds) with a hop size of 10ms, and the second column represents the corresponding fundamental frequency (in Hz).</p> <p><strong>Using this dataset:</strong> We are interested in knowing if you find our dataset useful! If you use our dataset, please email us at <em>kavyars@iitk.ac.in </em>and tell us about your research. Also, it is highly appreciable to cite the dataset.</p> <p> </p>
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