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35 results for “Flute”
CBFdataset: A Dataset of Chinese Bamboo Flute Performances
<p><em>CBFdataset</em> is<em> </em>a dataset of Chinese bamboo flute (CBF) performances, created for ecologically valid analysis of music playing techniques in context.</p> <p>The dataset comprises monophonic recordings of classic CBF pieces and isolated playing techniques, recorded by 10 professional CBF performers; and expert annotations of seven playing techniques: vibrato, tremolo, trill, flutter-tongue (FT), acciaccatura, portamento, and glissando. The recorded pieces include <em>Busy Delivering Harvest (BH)</em> 扬鞭催马运粮忙, <em>Jolly Meeting (JM)</em> 喜相逢, <em>Morning (Mo)</em> 早晨, <em>and Flying Partridge (FP)</em> 鹧鸪飞. All data was recorded in a professional recording studio using a Zoom H6 recorder at 44.1kHz/24-bits. The difference between different Versions 1.2, 1.1, and 1.0:</p> <ul> <li>V1.2 is the complete CBFdataset with a total duration of 2.6 hours.</li> <li>V1.1 splits the CBFdataset into two subsets according to playing technique types: CBF-periDB and CBF-petsDB. The former contains all the full-length pieces, isolated playing techniques, and annotations of four periodic modulations: vibrato, tremolo, trill, and flutter-tongue. The latter comprises the same full-length recordings, isolated playing techniques, and annotations of three pitch evolution-based techniques: acciaccatura, portamento, and glissando.</li> <li>V1.0 includes only the CBF-periDB.</li> </ul> <p>Related updates, demos, and code for reproducibility are available at <a href="http://c4dm.eecs.qmul.ac.uk/CBFdataset.html">http://c4dm.eecs.qmul.ac.uk/CBFdataset.html</a>. Any queries, please feel free to contact Changhong at changhong.wang@telecom-paris.fr. Please cite the following paper when using this dataset:</p> <p>Changhong Wang, Emmanouil Benetos, Vincent Lostanlen, and Elaine Chew, "Adaptive Scattering Transforms for Playing Technique Recognition," <em>IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP)</em>, 30 (2022): 1407-1421.</p>
Figures 9–17 in Geographical distribution and phenotypic variation of Anovia punica Gordon (Coleoptera: Coccinellidae: Noviini), a predatory ladybeetle of fluted scales (Hemiptera: Coccoidea: Monophlebidae)
Figures 9–17. Male genitalia of Anovia punica. Peru: 9–11) San Martin State. Colombia: 12–14) San Andres Island. 15–17) Magdalena State. 9), 12), 15) Tegmen in ventral view. 10), 13), 16) Tegmen in lateral view. 11), 14), 17) Sipho.
Figures 1–8 in Geographical distribution and phenotypic variation of Anovia punica Gordon (Coleoptera: Coccinellidae: Noviini), a predatory ladybeetle of fluted scales (Hemiptera: Coccoidea: Monophlebidae)
Figures 1–8. Morphological variation of Anovia punica. Peru. 1–2) San Martín State. Colombia: 3) San Andres Island. 4) Magdalena State. 5) Valle del Cauca State. 6–7) Antioquia State. 8) Atlantico State.
FR004, Paleoindian, Clovis or fluted point
Clovis or Fluted Points Paleoindian Catalog #: FR 3/4 P004 Uploaded By Carson Wright Suggested Data Citation: Thompson, Christine, Erin Powers, Carson Wright, and Kevin C. Nolan, 2021. FRHS_FR004, 3D Model .ply file. Digital Exhibit of Fort Recovery Historical Society's Precontact Collection, Fort Recovery Historical Society and Applied Anthropology Laboratories, Ball State University. Source: Objaverse 1.0 / Sketchfab
Wajia Flute
The wajia flute is know because it was made from animals bones and sometimes from human bones The .rar file contains: - Meshes in .fbx and .obj format - PBR textures maps (2K resolution )for any 3d software, unity 5 and unreal engine 4. - .blend file Source: Objaverse 1.0 / Sketchfab
Data from: Use of the lung flute ECO to assist in sputum collection for tuberculosis testing: a randomized crossover trial
<p>The Lung Flute ECO, a self-powered, low cost, oscillatory positive expiratory pressure (OPEP) device, assisted people with presumptive tuberculosis to produce an adequate sputum volume for diagnostic testing and was well-tolerated.</p>
GFDatabase: A Database of Flute Playing Techniques
<p><em>GFDatabase</em> (Geidai Flute Database)<em> </em>is a collection of recordings for the training of models for the real-time recognition of flute playing techniques.</p> <p>The database includes recordings of two flute players, a professional and a semi-professional. It includes monophonic recordings of isolated pitches of 11 flute playing techniques: <em>aeolian, flatterzunge, key click, multiphonics, ordinario, pizzicato, play and sing, staccato, tongue ram, trill, and whistle tone.</em></p> <p>The professional player was recorded using seven microphones representing different typical studio performance recording sets (see table below) in studio A (a large recording studio) at Geidai, Tokyo University of the Arts. The recording was made using a 96kHz sampling rate and a resolution of 24 bits.</p> <table> <tbody> <tr> <td><strong>Microphone Model</strong></td> <td><strong>Distance from Source (cm)</strong></td> <td><strong>Height (cm)</strong></td> <td><strong>Number of Microphones</strong></td> </tr> <tr> <td>DPA 4099</td> <td>33</td> <td><em>same height as the flutist's head</em></td> <td>1</td> </tr> <tr> <td>DPA 4011</td> <td>80</td> <td><em>same height as the flutist's head</em></td> <td>1</td> </tr> <tr> <td>DPA 4011</td> <td>100</td> <td><em>same height as the flutist's head</em></td> <td>1</td> </tr> <tr> <td>DPA 4006</td> <td>140</td> <td>179</td> <td>2</td> </tr> <tr> <td>DPA 4006 </td> <td>458</td> <td>277</td> <td>2</td> </tr> </tbody> </table> <p>The semi-professional player was recorded using two microphones in studio C (a small recording studio) at Geidai, Tokyo University of the Arts. The recording was made using a 48kHz sampling rate and a resolution of 24 bits.</p> <table> <tbody> <tr> <td><strong>Microphone Model</strong></td> <td><strong>Distance from Source (cm)</strong></td> <td><strong>Height (cm)</strong></td> <td><strong>Number of Microphones</strong></td> </tr> <tr> <td>SHURE SM57</td> <td>10</td> <td><em>same height as the flutist's head</em></td> <td>1</td> </tr> <tr> <td>SONY EMC670</td> <td>100</td> <td><em>same height as the flutist's head</em></td> <td>1</td> </tr> </tbody> </table> <p>If you use our recordings in your work, please quote our paper:</p> <blockquote> <p>Nicolas Brochec, Tsubasa Tanaka, Will Howie. <em>Microphone-based Data Augmentation for Automatic Recognition of Instrumental Playing Techniques</em>. International Computer Music Conference (ICMC 2024), Jul 2024, Seoul, South Korea.</p> </blockquote> <p>This research is supported by the European Research Council (ERC) as part of the Raising Co-creativity in Cyber-Human Musicianship (REACH) Project directed by Gérard Assayag, under the European Union's Horizon 2020 research and innovation program (GA #883313). Funding support for this work was provided by a Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) scholarship to Nicolas Brochec.</p>
Elevated temperature and carbon dioxide levels alter growth rates and shell composition in the fluted giant clam, Tridacna squamosa
<p>We investigated the effects of 60-d exposure to end-of-the-century projections for seawater temperature (+3 °C) and <em>p</em>CO<sub>2</sub> (+500 µatm) on growth, mineralogy, and organic content of shells and scutes in juvenile <em>Tridacna squamosa </em>clams. The provided excel file contains tables supplying the following raw datasets:</p> <p>(1) Concentrations of trace minerals (Data_Minerals) in shells and scutes</p> <blockquote> <p><strong>IndividualID</strong> - unique ID for each juvenile <em>Tridacna squamosa</em> clam<br> <strong>Type</strong> - type of skeletal material sampled (New: newly-formed, Old: older-growth, Shell: shell, Scute: scute).<br> <strong>Exposure</strong> - experimental treatments (Ambient: ambient seawater conditions, High Temp: elevated temperature alone, High pCO2: elevated <em>p</em>CO<sub>2</sub> alone, Multistressor: elevated temperature and <em>p</em>CO<sub>2</sub> in combination).<br> <strong>SampleMass_mg</strong> - mass (in mg) of powdered skeletal material analyzed.<br> <strong>X_ppb</strong> - concentration (in parts per billion) of element X (Mg: Magnesium, Si: Silica, P: Phosphorus, K: Potassium, Mn: Manganese, As: Arsenic, Sr: Strontium, Ba: Barium, Ca: Calcium) in the sample.<br> <strong>X_mmol_kg-1</strong> - concentration (in mmol kg<sup>-1</sup>) of element X in the sample.<br> <strong>XCaRatio_mmol_mol-1</strong> - ratio of the concentrations of element X (in mmol) and calcium (in mol).<br> <strong>BaCaRatio_µmol_mol-1 </strong>- ratio of the concentrations of barium (in µmol) and calcium (in mol).</p> </blockquote> <p>(2) Morphometric characteristics (Data_Morphometry) of shells/scutes</p> <blockquote> <p><strong>IndividualID</strong> - unique ID for each juvenile <em>Tridacna squamosa</em> clam<br> <strong>Exposure</strong> - experimental treatments (Ambient: ambient seawater conditions, High Temp: elevated temperature alone, High pCO2: elevated <em>p</em>CO<sub>2</sub> alone, Multistressor: elevated temperature and <em>p</em>CO<sub>2</sub> in combination).<br> <strong>X_pre_mm</strong> - measurement value (in millimeters) prior to exposure to experimental treatments (APM: anterior-posterior margin or shell length, DVM: dorsal-ventral margin or shell height, OrnamentationMaxWidth: maximum width of the shell across the scutes, Width: shell width).<br> <strong>X_pre_g</strong> - measurement value (in grams) prior to exposure to experimental treatments (WetMass: whole animal wet mass).<br> <strong>X_post_mm</strong> - measurement value (in millimeters) after 60-d exposure to experimental treatments.<br> <strong>X_post_g</strong> - measurement value (in grams) after 60-d exposure to experimental treatments.<br> <strong>X_gain_mm</strong> - change in measurment value (in millimeters) over the course of the 60-d experiment.<br> <strong>X_gain_%change</strong> - change in measurment value over the course of the 60-d experiment as a percentage of the initial, pre-exposure value (i.e., % change).</p> </blockquote> <p>(3) Organic content (Data_Organics) of shells</p> <blockquote> <p><strong>IndividualID</strong> - unique ID for each juvenile <em>Tridacna squamosa</em> clam<br> <strong>Exposure</strong> - experimental treatments (Ambient: ambient seawater conditions, High Temp: elevated temperature alone, High pCO2: elevated <em>p</em>CO<sub>2</sub> alone, Multistressor: elevated temperature and <em>p</em>CO<sub>2</sub> in combination).<br> <strong>X-newgrowth_weight%</strong> - concentration of element X (Nitrogen, Carbon, or Hydrogen) as a percentage of the weight of sample analyzed in newly-formed shell.<br> <strong>X-oldgrowth_weight% </strong>- concentration of element X as a percentage of the weight of sample analyzed in older-growth shell.</p> </blockquote> <p> </p> <p> </p>
Maori Nguru (nose flute)
Carved from a whale's tooth this Maori Nguru (nose flute) has a tiki figure on one side. A tiki is an ancestral figure and they are often carved on flutes and pendants for good luck. Small musical instruments (Taonga Puoro) such as these were attached to cords and worn as ornaments hung around the neck. You can see more images and information about this object on [our website](http://heritage.southwark.gov.uk/objects/7320/whistle?ctx=793c383a-d357-4830-b02c-159c7fdcbad7&idx=57). Source: Objaverse 1.0 / Sketchfab
Flute audio labelled database for Automatic Music Transcription
<p>Automatic Music Transcription (ATM) is a well-known task in the Music Information Retrieval (MIR) domain and consists on the computation of a symbolic music representation from an audio recording. In this work, our focus is to adapt algorithms that extract musical information from an audio file for a particular instrument. The main objective is to study the automatic transcription of digitized music support systems. Currently, these techniques are applied to a generic sound timbre, to sounds to any instrument for further analysis and conversion to a digital music encoding and final score format. The results of this project add new knowledge in this automatic transcription field, since traverse flute has been selected as the instrument on which to focus all the process and, until now, there is no database of flute sounds for this purpose.</p> <p>For so, we have recorded some sounds, both monophonic and polyphonic music. These audio files have been processed by the chosen transcription algorithm and converted to a digital music encoding format for its posterior alignment with the original recordings. Once all these data have been converted to text, the resulting labeled database its constituted by the initial audios and final aligned files.</p> <p>Furthermore, after this process and from the obtained data, an evaluation of the transcriptor behavior has been made based on two main techniques: note and frame level.</p> <p>This database includes the original audio files (.wav), transcribed MIDI files (.mid), aligned MIDI files (.mid), aligned text files (.txt) and evaluation files (.csv).</p>
Feldman_dataset_PoD: Dataset containing results from the research project Points of Discontinuity concerning Morton Feldman, Why Patterns? for flute, glockenspiel and piano (1978)
<p>The complete datasets resulting from the research project <em>Points of Discontinuity</em> contain 23 datasets for the musical works or excerpts that were part of the online listening experiment, with each dataset containing seven or eight files (all audio files are stored in a dataset with restricted access), as well as a dataset (PoD_general_dataset) with five additional files.</p> <p>This dataset<strong> Feldman_dataset_PoD </strong>contains eight files:</p> <ul> <li>Feldman_01_ReadMe.pdf</li> <li>Feldman_02_data.xlsx (processed data for this work)</li> <li>Feldman_03_individual_data.xlsx (raw data for each participant obtained from the experiment)</li> <li>Feldman_04_audio.mp3 <strong>[non-public] </strong>(audio recording used in the experiment) [stored in the restricted dataset <a href="https://doi.org/10.5281/zenodo.13981214" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.13981214</a>]</li> <li>Feldman_05_model_results.sv (graphical representation of results and the model in Sonic Visualiser) [requires audio file Feldman_04_audio.mp3 to display correctly]</li> <li>Feldman_06_SV-data_model+results.zip (text files with the marker locations for all layers in Sonic Visualiser)</li> <li>Feldman_07_model+results_SV-screenshot.pdf (a screenshot of the full-screen display of the SV-file)</li> <li>Feldman_08_annotated_score.pdf (model analysis annotated in the score)</li> </ul>
FLUTE: a Python GUI for interactive phasor analysis of FLIM data
<p>This repository contains the Fluorescence lifetime imaging microscopy (FLIM) data relative to the following publication <em>"FLUTE: a Python GUI for interactive phasor analysis of FLIM data" </em>https://www.biorxiv.org/content/10.1101/2023.03.31.534529v1</p> <p><em><strong>Fluorescein.tif</strong> </em>stack contains the fluorescence intensity decay of fluorescein solution with a known lifetime of 4ns, used as calibration.</p> <p><strong><em>Embryo.tif</em></strong> file contains the fluorescence intensity decay of a zebrafish embryo at 3 days post fertilisation.</p> <p>Both files have been acquired with the following parameters:</p> <ul> <li>temporal bin number = 56</li> <li>laser repetition rates = 80 MHz</li> <li>bin width = 0.223ns</li> </ul>
Satyr with Flute
Love to ancient Sculptures, to CG Sculpting and Black Metal inspired me to make this Model of a Satyr/Pan. Source: Objaverse 1.0 / Sketchfab
Data from: Use of the lung flute ECO to assist in sputum collection for tuberculosis testing: a randomized crossover trial
Open the record for dataset details and reuse information.
FluTE Synthetic Ecosystems for Los Angeles County
<p>Data files</p> <p>A set of 3 data files needs to be in the same directory as the<br> executable to specify a population for FluTE. The file names consist of<br> a prefix (e.g., "seattle") followed by a suffix.<br> <br> <br> *-tracts.dat - Tract populations and locations, from<br> http://www.census.gov/geo/www/cenpop/cntpop2k.html. The columns in<br> this comma-delimited file are: state FIPS code, county FIPS code,<br> tract FIPS code, tract population, tract longitude, and tract<br> latitude.<br> <br> <br> *-wf.dat - Tract-to-tract workerflow, extracted from stp64.us from<br> Census 2000 Special Tabulation Product 64: Census tract of work by<br> census tract of residence 2000. For the US-level data. Commutes over<br> 100 miles were eliminated from the data. The columns in this space-<br> delimited file are: home state FIPS code, home county FIPS code, home<br> tract FIPS code, work state FIPS code, work county FIPS code, work<br> tract FIPS code, and number of workers.<br> <br> <br> *-employment.dat - The number of employed working-age adults and the<br> total number of working-age adults, from the Census Summary File 3<br> (SF3, Table PCT35). The columns in this space-delimited file are:<br> state FIPS code, county FIPS code, tract FIPS code, number of employed<br> 20-64 year olds, and the total number of working-age individuals<br> (19-64 year olds).</p> <p>This sample population is:</p> <p>la - Los Angeles County. la-tracts.dat is not from the 2000 Census;<br> It is based on 2007 PEPS estimates from Walter R. McDonald &<br> Associates, Inc. (WRMA) and padded with an additional 776,000<br> individuals to represent the estimated undocumented population<br> [Flaming et al. Hopeful Workers, Marginal Jobs. 2005]. The other<br> "la" data files are based on the 2000 US Census.</p>
FluTE Synthetic Ecosystems for USA
<p>Data files</p> <p>A set of 3 data files needs to be in the same directory as the<br> executable to specify a population for FluTE. The file names consist of<br> a prefix (e.g., "seattle") followed by a suffix.<br> <br> <br> *-tracts.dat - Tract populations and locations, from<br> http://www.census.gov/geo/www/cenpop/cntpop2k.html. The columns in<br> this comma-delimited file are: state FIPS code, county FIPS code,<br> tract FIPS code, tract population, tract longitude, and tract<br> latitude.<br> <br> <br> *-wf.dat - Tract-to-tract workerflow, extracted from stp64.us from<br> Census 2000 Special Tabulation Product 64: Census tract of work by<br> census tract of residence 2000. For the US-level data. Commutes over<br> 100 miles were eliminated from the data. The columns in this space-<br> delimited file are: home state FIPS code, home county FIPS code, home<br> tract FIPS code, work state FIPS code, work county FIPS code, work<br> tract FIPS code, and number of workers.<br> <br> <br> *-employment.dat - The number of employed working-age adults and the<br> total number of working-age adults, from the Census Summary File 3<br> (SF3, Table PCT35). The columns in this space-delimited file are:<br> state FIPS code, county FIPS code, tract FIPS code, number of employed<br> 20-64 year olds, and the total number of working-age individuals<br> (19-64 year olds).</p> <p>This sample population is:</p> <p>usa - The continental United States, based on the 2000 US Census. Note<br> that the "wf" files are split into 49 separate files, one for each<br> state and one for Washington, D.C. The wf file would be too large as a<br> single file. When mpiflute does not find "usa-wf.dat", it looks for<br> "usa-wf-?.dat", where "?" is the state FIPS code(s) of the population<br> on the processor.</p>
FluTE Synthetic Ecosystems for Seattle
<p>Data files</p> <p>A set of 3 data files needs to be in the same directory as the<br> executable to specify a population for FluTE. The file names consist of<br> a prefix (e.g., "seattle") followed by a suffix.<br> <br> <br> *-tracts.dat - Tract populations and locations, from<br> http://www.census.gov/geo/www/cenpop/cntpop2k.html. The columns in<br> this comma-delimited file are: state FIPS code, county FIPS code,<br> tract FIPS code, tract population, tract longitude, and tract<br> latitude.<br> <br> <br> *-wf.dat - Tract-to-tract workerflow, extracted from stp64.us from<br> Census 2000 Special Tabulation Product 64: Census tract of work by<br> census tract of residence 2000. For the US-level data. Commutes over<br> 100 miles were eliminated from the data. The columns in this space-<br> delimited file are: home state FIPS code, home county FIPS code, home<br> tract FIPS code, work state FIPS code, work county FIPS code, work<br> tract FIPS code, and number of workers.<br> <br> <br> *-employment.dat - The number of employed working-age adults and the<br> total number of working-age adults, from the Census Summary File 3<br> (SF3, Table PCT35). The columns in this space-delimited file are:<br> state FIPS code, county FIPS code, tract FIPS code, number of employed<br> 20-64 year olds, and the total number of working-age individuals<br> (19-64 year olds).</p> <p>This sample population is:</p> <p>seattle - metropolitan Seattle, based on the 2000 US Census.</p>
PEP Flute-selfcare in COVID-19
ClinicalTrials.gov study NCT04530435. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Impact of Lung Flute Therapy on Asthma
ClinicalTrials.gov study NCT02003521. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Six Month Randomized Controlled Clinical Trial of Lung Flute in Patients With Chronic Obstructive Pulmonary Disease
ClinicalTrials.gov study NCT01186822. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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