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226 results for “Tone”
Van Allen Probes Occurrence Rates of Electromagnetic Ion Cyclotron (EMIC) Waves with Rising Tones
<p>CSV files with the values for the occurrence rates of electromagnetic ion cyclotron (EMIC) waves with rising tones observed by the Van Allen Probes from 2012-09-07 to 2016-07-01 from the paper</p><p>Sigsbee, K., Kletzing, C. A., Faden, J., & Smith, C. W. (2023). Occurrence rates of electromagnetic ion cyclotron (EMIC) waves with rising tones in the Van Allen Probes data set. Journal of Geophysical Research: Space Physics, 128, e2022JA030548. https://doi.org/10.1029/2022JA030548 </p><p>The below files contain the values from Figures 5 and 6. The first row of each file gives the lower value of each L shell bin (0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.5, 6.0, 7.0, 7.5). The first column of each file gives the magnetic local time (MLT) values (0-23) for each bin. </p><p>rbspab_lshellmlt_minutes_20120907_to_20160701.csv gives the number of minutes spent by the Van Allen Probes in each bin of L shell and MLT.</p><p>rbspab_emic_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes all EMIC waves were observed in each bin of L shell and MLT.</p><p>rbspab_h_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes H+ band EMIC waves were observed in each bin of L shell and MLT.</p><p>rbspab_hr_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes H+ band EMIC waves with rising tones were observed in each bin of L shell and MLT.</p><p>rbspab_he_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes He+ band EMIC waves were observed in each bin of L shell and MLT.</p><p>rbspab_her_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes He+ band EMIC waves with rising tones were observed in each bin of L shell and MLT.</p><p>rbspab_o_lshellmlt_pcnt_20120907_to_20160701.csv gives the percentage of minutes O+ band EMIC waves with rising tones were observed in each bin of L shell and MLT.</p><p>The below files contain the values from Figures 7-13. The first row of each file gives the lower value of each bin of the radial distance RXY in the XY SM plane (0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.5, 6.0, 7.0, 7.5) in Earth radii (RE). The first column of each file gives the lower value of each bin of Z SM in RE (-2.0, -1.75, -1.5, -1.25, -1.0, 0.0, 1.0, 1.25, 1.50, 1.75). Separate files are provided for four MLT sectors: midnight (21 MLT to 3 MLT), dawn (3 MLT to 9 MLT), noon (9 MLT to 15 MLT), and dusk (15 MLT to 21 MLT).</p><p>Number of minutes spent by the Van Allen Probes in bins of RXY and Z SM (Figure 7):</p><p>rbspab_rxyzsm_minutes_midnight_20120907_to_20160701.csv, rbspab_rxyzsm_minutes_dawn_20120907_to_20160701.csv, rbspab_rxyzsm_minutes_noon_20120907_to_20160701.csv, rbspab_rxyzsm_minutes_dusk_20120907_to_20160701.csv </p><p>Percentage of minutes all EMIC waves were observed in bins of RXY and Z SM (Figure 8):</p><p>rbspab_emic_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_emic_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_emic_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_emic_rxyzsm_pcnt_dusk_20120907_to_20160701.csv </p><p>Percentage of minutes H+ band EMIC waves were observed in bins of RXY and Z SM (Figure 9):</p><p>rbspab_h_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_h_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_h_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_h_rxyzsm_pcnt_dusk_20120907_to_20160701.csv </p><p>Percentage of minutes He+ band EMIC waves were observed in bins of RXY and Z SM (Figure 10):</p><p>rbspab_he_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_he_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_he_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_he_rxyzsm_pcnt_dusk_20120907_to_20160701.csv </p><p>Percentage of minutes O+ band EMIC waves were observed in bins of RXY and Z SM (Figure 11):</p><p>rbspab_o_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_o_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_o_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_o_rxyzsm_pcnt_dusk_20120907_to_20160701.csv </p><p>Percentage of minutes H+ band EMIC waves with rising tones were observed in bins of RXY and Z SM (Figure 12):</p><p>rbspab_hr_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_hr_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_hr_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_hr_rxyzsm_pcnt_dusk_20120907_to_20160701.csv </p><p>Percentage of minutes He+ band EMIC waves with rising tones were observed in bins of RXY and Z SM (Figure 13):</p><p>rbspab_her_rxyzsm_pcnt_midnight_20120907_to_20160701.csv, rbspab_her_rxyzsm_pcnt_dawn_20120907_to_20160701.csv, rbspab_her_rxyzsm_pcnt_noon_20120907_to_20160701.csv, rbspab_her_rxyzsm_pcnt_dusk_20120907_to_20160701.csv </p>
Dataset accompanying the publication: Acoustic cues of keyboard mechanics enable auditory localization of upright piano tones
<p>Dataset accompanying the publication: Acoustic cues of keyboard mechanics enable auditory localization of upright piano tones (in J. Acoust. Soc. Am., 2024)</p>
Tone Discriminator Evolved on iCE40 FPGA
<p>Data created by an experiment that evolved a tone discriminator on an iCE40 FPGA. The experiment was originally conducted by Adrian Thompson on an Xilinx XC6200 FPGA in 1997. This is the reproduction on a modern FPGA.</p> <p> </p> <p>The tone discriminator is a circuit on the FPGA that creates a 3.3 V output signal if presented with a 10 kHz square wave input and a 0 V output signal for a 1 kHz input signal. The circuit was evolved with a Genetic Algorithm and evaluated in three ways:</p> <ol> <li>Clamping: Iterative process to evaluate which cells in the circuit contribute dynamically to the output. A random cell is chosen a and its output set to a random constant value. Afterwards the fitness of the circuit is measured. If it decreases by less than 1 %, the cell is kept clamped, else reset to its original state.</li> <li>Temperature dependence: The FPGA with the circuit was cooled or heated to different temperatures and presented with different input frequencies. The output was averaged over 5 s.</li> <li>Location dependence: The circuit was moved to a different location o the FPGA. The Genetic Algorithm was then continued for additional 200 generations.</li> </ol> <p> </p> <p>This upload contains four groups of files:</p> <ol> <li>experiment.h5 <ul> <li>All measurements and chromosomes from the original run of the Genetic Algorithm</li> </ul> </li> <li>clamping.h5 <ul> <li>All measurements of the clamping process</li> </ul> </li> <li>temperature-XX.h5 <ul> <li>All measurements for a different temperature</li> <li>XX is the temperature in degree Celsius</li> </ul> </li> <li>new_location-X.h5 <ul> <li>All measurements and chromosomes for the continued Genetic Algorithm at a new location on the FPGA</li> <li>X is the running number for hundred generations in the file, e.g. 2 contains generations 101 to 200</li> </ul> </li> </ol> <p> </p> <p> </p> <p>Errata:</p> <ul> <li>The timestamps for the temperature measurements are missing in all files but experiment.h5.</li> </ul> <p> </p>
EGFxSet: Electric guitar tones processed through real effects of distortion, modulation, delay and reverb
<p>EGFxSet (Electric Guitar Effects dataset) features recordings for all clean tones in a 22-fret Stratocaster, recorded with 5 different pickup configurations, also processed through 12 popular guitar effects. Our dataset was recorded in real hardware, making it relevant for music information retrieval tasks on real music. We also include annotations for parameter settings of the effects we used.</p> <p>More details can be found in <a href="http://egfxset.github.io">egfxset.github.io</a></p> <p>The dataset can also be accessed with <a href="https://mirdata.readthedocs.io/en/stable/source/mirdata.html#module-mirdata.datasets.egfxset">mirdata</a></p> <p>Effects and parameters included:</p> <table> <tbody> <tr> <td>Effect</td> <td>Model</td> <td>Effect Type</td> <td>Knob Names</td> <td>Knob Type</td> <td>Setting</td> </tr> <tr> <td>blues driver</td> <td>Boss BD-2 Blues Driver</td> <td>distortion</td> <td>['level', 'tone', 'gain']</td> <td>['volume','eq','effect amount']</td> <td>[0.5,0.5,1.0]</td> </tr> <tr> <td>tube screamer</td> <td>Ibanez Mini Tube Screamer</td> <td>distortion</td> <td>['tone', 'overdrive', 'level']</td> <td>['eq','effect amount','volume']</td> <td>[0.5,1.0,0.5]</td> </tr> <tr> <td>distortion</td> <td>Pro Co Sound RAT2 Distortion</td> <td>distortion</td> <td>['distortion', 'filter', 'volume']</td> <td>['effect amount','eq','volume']</td> <td>[1.0, 0.5,1.0]</td> </tr> <tr> <td>chorus</td> <td>Boss CE-3 Chorus</td> <td>modulation</td> <td>['rate', 'depth', 'stereo mode']</td> <td>['rate','effect amount','selector']</td> <td>['120 bpm', 1.0, False]</td> </tr> <tr> <td>flanger</td> <td>Mooer E-Lady</td> <td>modulation</td> <td>['color', 'type', 'range', 'rate']</td> <td>['eq','selector','effect amount','rate']</td> <td>[0.5, 'normal', 1.0, '120 bpm']</td> </tr> <tr> <td>phaser</td> <td>MXR Phase 45</td> <td>modulation</td> <td>['speed']</td> <td>['rate']</td> <td>['120 bpm']</td> </tr> <tr> <td>tape echo</td> <td>Line 6 DL4 Delay</td> <td>delay</td> <td>['effect selector', 'delay time', 'repeats', 'tweak (bass)', 'tweez (treble)', 'mix']</td> <td>['selector', 'rate', 'effect decay', 'eq', 'eq', 'effect amount']</td> <td>['tape echo', '120 bpm', 0.6, 0.5, 0.5, 0.5]</td> </tr> <tr> <td>digital delay</td> <td>Line 6 DL4 Delay</td> <td>delay</td> <td>['effect selector', 'delay time', 'repeats', 'tweak (bass)', 'tweez (treble)', 'mix']</td> <td>['selector', 'rate', 'effect decay', 'eq', 'eq', 'effect amount']</td> <td>['digital delay', '120 bpm', 0.6, 0.5, 0.5, 0.5]</td> </tr> <tr> <td>sweep echo</td> <td>Line 6 DL4 Delay</td> <td>delay</td> <td>['effect selector', 'delay time', 'repeats', 'tweak (sweep speed)', 'tweez (sweep depth)', 'mix']</td> <td>['selector', 'rate', 'effect decay', 'rate', 'effect amount', 'effect amount']</td> <td>['sweep echo', '120 bpm', 0.6, '120 bpm',1.0,0.5]</td> </tr> <tr> <td>plate reverb</td> <td>Orange CR-60 Combo Amplifier</td> <td>reverb</td> <td>['volume', 'bass', 'treble', 'type', 'reverb', 'master volume', 'clean']</td> <td>['volume','eq','eq','selector','effect amount', 'volume', 'selector']</td> <td>[0.5, 0.5, 0.5, 'plate', 1.0, 0.2, True]</td> </tr> <tr> <td>hall reverb</td> <td>Orange CR-60 Combo Amplifier</td> <td>reverb</td> <td>['volume', 'bass', 'treble', 'type', 'reverb', 'master volume', 'clean']</td> <td>['volume','eq','eq','selector','effect amount', 'volume', 'selector']</td> <td>[0.5, 0.5, 0.5, 'hall', 1.0, 0.2, True]</td> </tr> <tr> <td>spring reverb</td> <td>Orange CR-60 Combo Amplifier</td> <td>reverb</td> <td>['volume', 'bass', 'treble', 'type', 'reverb', 'master volume', 'clean']</td> <td>['volume','eq','eq','selector','effect amount', 'volume', 'selector']</td> <td>[0.5, 0.5, 0.5, 'spring', 1.0, 0.2, True]</td> </tr> </tbody> </table> <p><br>Please cite these papers if using EGFxSet:</p> <p>Pedroza HE, Abreu W, Corey R, Roman IR. "Leveraging real electric guitar tones and effects to improve robustness in guitar tablature transcription modeling." <em>In 27th International Conference on Digital Audio Effects (DAFx),</em> 2024.</p> <p>Pedroza, Hegel, Gerardo Meza, and Iran R. Roman. "EGFxSet: Electric guitar tones processed through real effects of distortion, modulation, delay and reverb." <em>ISMIR Late Breaking Demo, </em>2022.</p>
CLDF dataset derived from Sims' "Diachrony of Tone in Proto-Rma" from 2020
<p>Cite the source of the dataset as:</p> <blockquote> <p>Sims, Nathanial A. (2020): Reconsidering the diachrony of tone in Rma. Journal of the Southeast Asian Linguistics Society 13.1. 53-85.</p> </blockquote>
Historical tone data for Tai languages
<p>Comma-separated values (CSV) of historical tone data for 300+ Tai doculects (languages and dialects). Gives historical categories (Gedney 1972) and tone numerals (Chao 1930). Contact author for source citations. I recommend getting in touch if you'd like to use this dataset There is a good chance I have a newer (bigger, cleaner, better) version of it you could use!</p>
CLDF dataset accompanying Yang's "Phonetic Tone Change" from 2022
<p>Cite the source of the dataset as:</p> <blockquote> <p>Yang, Cathryn (2022): The phonetic tone change *high > rising: Evidence from the Ngwi dialect laboratory. Diachronica. DOI: https://doi.org/10.1075/dia.19062.yan</p> </blockquote>
A subjective image quality assessment dataset of color graded inverse tone-mapped HDR images
<p>A subjective image quality assessment dataset that includes quality scores of HDR images generated by nine inverse tone mapping methods. The images in the dataset show a wide variety of artifacts commonly present in dynamic range expanded HDR images. Twelve image pairs comprised of an LDR image and its corresponding HDR version were used to conduct the subjective assessment study. These images contain scenes with a wide range of light conditions, representing challenging situations for dynamic range expansion methods.</p> <p>The image quality dataset includes subjective quality scores for 108 inverse HDR images obtained by the different dynamic range expansion methods, scaled in Just Objectionable Differences (JODs). In addition, it includes the raw data from pairwise comparisons obtained from subjective experimentation. The raw data is composed of 6480 trials collected from 15 human observers.</p> <p><strong>Files included</strong></p> <ul> <li>List of images used in our experiments (images.csv).</li> <li>LDR images used as input (ldr.zip).</li> <li>HDR images used as reference (hdr.zip).</li> <li>Inverse tone-mapped HDR images evaluated in our study (hdr_itmo.zip).</li> <li>Pairwise comparison results and JOD scores (subjective-scores.zip)</li> <li>The objective quality scores of the inverse tone-mapped HDR images, computed by each quality metric assessed (objective-scores.zip).</li> </ul> <p> </p>
Audio data from thesis Perception and Production of Nanning Mandarin Fourth Tone
<p>Recordings of 4 female speakers (S1, S2, S3, and S4) of Nanning-accented Mandarin Chinese reading preconstructed sentences. Recordings of those 4 female speakers telling a story based on 5 pages from Mercer Mayer's wordless picture book <em>Frog on His Own</em> (FOHO). Recording of perception test and perception test warm-up given to 26 Chinese living in Nanning, Guangxi. List of corpus sentences read, test prompts, and test sheet.</p>
Ngwi languages comparative tone box
<p>This is a comparative tone box of the Ngwi branch. Previous research has identified consonantal effects on pitch as important precursors to the phonologization of rising tones. However, evidence from tonal evolution studies in East and Southeast Asian languages suggests that the high register (i.e., tones above mid pitch) is an additional source of rising. The current study examines the plausibility of the high > rising pathway by testing two hypotheses in a ‘dialect laboratory’: (1) that a rising tone in one language will correspond to a high register tone in a closely related dialect or language, and (2) that consonantal conditioning is not required for a rising tone to emerge. These hypotheses are tested on transcribed tone data from 14 Ngwi (Loloish, Tibeto-Burman) language clusters (82 language varieties in total), organized into a comparative tone box.</p> <p>This study examines the correspondence patterns of rising tones across a database of 82 Ngwi languages and dialects, grouped into 14 lower-level clusters. The data consist of the language varieties’ current reflexes of PN tone categories, compiled from published and unpublished sources (see Appendix 1 for a complete listing). To facilitate comparison, the tonal reflexes are arranged in a tone box, adapted from Gedney (1972), with each row representing a separate initial consonant type, grouped together by PN tone category, and each column representing a different Ngwi language variety.</p> <p>The results support both hypotheses. The findings imply that rising tones evolve from high register tones, with or without consonant conditioning.Previous research has identified consonantal effects on pitch as important precursors to the phonologization of rising tones. However, evidence from tonal evolution studies in East and Southeast Asian languages suggests that the high register (i.e., tones above mid pitch) is an additional source of rising. The current study examines the plausibility of the high > rising pathway by testing two hypotheses in a ‘dialect laboratory’: (1) that a rising tone in one language will correspond to a high register tone in a closely related dialect or language, and (2) that consonantal conditioning is not required for a rising tone to emerge. These hypotheses are tested on transcribed tone data from 14 Ngwi (Loloish, Tibeto-Burman) language clusters (82 language varieties in total), organized into a comparative tone box. The results support both hypotheses. The findings imply that rising tones evolve from high register tones, with or without consonant conditioning.</p>
Rising tones and rustling noises: metaphors in gestural depictions of sounds
<p>Data for the observational and the experimental study. The quality of the video has been downsized to make the sharing tractable. </p> <p>Videos are arranged by referent sound. The filenames follow this format: subject number_referentsound.mp4</p>
Rising tones and rustling noises: metaphors in gestural depictions of sounds. Data
<p>Data for the article. </p> <p>The file ObservationalData.mat contains the following variables:</p> <p>- Data is 4 x 8 x 10 x 3 x 10 matrix. Dimension 1 corresponds to the four annotators. Dimension 2 corresponds to the 8 referent sounds. Dimension 3 corresponds to the 10 imitators. Dimension 4 corresponds to the three response fields. Dimension 5 corresponds to the different possible answers. When the content of the matrix is 0, it means that the annotator has not indicated this answer for this particular sound and response field. When the content of the matrix is 1, this means that the annotator has selected this answer.</p> <p>- Annotators is the list of annotators: 'HS4' 'OH4' 'GL4' 'PS2'</p> <p>- SoundNames is the list of sound names: ‘Upward sweep' 'Downward sweep' 'Stationnary noise' 'Scraping' 'Filling' 'Door' 'Refrigerator' 'Printer'</p> <p>- Imitators are the imitator IDs: '08' '16' '20' '22' '25' '26' '28' '29' '30' '32'</p> <p>- Fields are the field names: 'Main gestural features' 'Main vocal features' 'Direction of the gestures'</p> <p>- NMax are the number of possible answers for each field: 10, 8, 7</p> <p> </p> <p> </p> <p> </p> <p>Data for the experimental study are stored in two files: GesturalDescriptor.txt and VocalDescriptor.txt</p> <p>Each file is a table, where each row is an observation: one imitator imitating one referent sound. The columns correspond to the imitators, the referent sounds, the factors (granularity, profile, and toneless), and the features.</p>
Fig.ç2.C olor variations of caudal ns of Upeneus guttatus from Kagoshima, Japan. A, KAUM–I. 7819, 57.8 mm SL; B, KAUM–I. 11885, 80.5 mm SL; C, KAUM–I. 24423, 84.3 mm SL; D, KAUM–I. 13067, 119.2 mm SL. in First Records of the Two-tone Goatfish, Upeneus guttatus, from Japan, and Comparisons with U. japonicus (Perciformes: Mullidae)
Fig.ç2.C olor variations of caudal ns of Upeneus guttatus from Kagoshima, Japan. A, KAUM–I. 7819, 57.8 mm SL; B, KAUM–I. 11885, 80.5 mm SL; C, KAUM–I. 24423, 84.3 mm SL; D, KAUM–I. 13067, 119.2 mm SL.
Fig.ç1.C olor photographs of fresh specimens of (A–B) Upeneus guttatus and (C–D) U. japonicus. A–B: KAUM–I. 11011, 114.1 mm SL, Kagoshima, Japan; C–D: KAUM–I. 9212, 90.9 mm SL, Kagoshima, Japan. in First Records of the Two-tone Goatfish, Upeneus guttatus, from Japan, and Comparisons with U. japonicus (Perciformes: Mullidae)
Fig.ç1.C olor photographs of fresh specimens of (A–B) Upeneus guttatus and (C–D) U. japonicus. A–B: KAUM–I. 11011, 114.1 mm SL, Kagoshima, Japan; C–D: KAUM–I. 9212, 90.9 mm SL, Kagoshima, Japan.
Fig.ç3.R elationships of (A) barbel length and (B) pectoral- n length to standard length in Upeneus guttatus (closed symbols: stars from Japan, squares from Indo–West Paci c) and U. japonicus (open circles). in First Records of the Two-tone Goatfish, Upeneus guttatus, from Japan, and Comparisons with U. japonicus (Perciformes: Mullidae)
Fig.ç3.R elationships of (A) barbel length and (B) pectoral- n length to standard length in Upeneus guttatus (closed symbols: stars from Japan, squares from Indo–West Paci c) and U. japonicus (open circles).
SAuderset/MixteCaSo: v2.0: Tone change module
<p>This new version of the database was updated to include a tone module, in which tone changes are coded with the same methodology as segmental changes.</p>
Raw data for: "Vesicular Acetylcholine Transporter Alters Cholinergic Tone and Synaptic Plasticity in DYT1 Dystonia"
<p>Raw data for Supplemental Figure 2 - Patch-Clamp recordings of ChI firing activity after bath application of donepezil (Donep 50 μM, 5 minutes). The inhibition by donepezil was weaker in Tor1a+/− than in Tor1a+/+ neurons.</p>
Simulation data for "Nonlinear electron phase-space dynamics in spontaneous excitation of falling-tone chorus" submitting to Geophysical Research Letters
<p>Simulation data for "Nonlinear electron phase-space dynamics in spontaneous excitation of falling-tone chorus" submitting to Geophysical Research Letters.</p> <p>Including the simulation input parameter file and the necessary output data for analysis described in the article. The output data consists of waveform data, wave intensity profile, binned phase space distribution, etc. A detailed guide to load the output data is included in the zipped file as well. </p>
WWVB Plus 1 kHz Reference Tone
<p>FLAC audio recording of WWVB plus a 1 kHz phase reference tone for propagation analysis during the August 21, 2017 solar eclipse. This recording was made between 14:00 UTC and 22:00 UTC by KD2BD in Wall Township, New Jersey (FN20xd). This is an 8 hour recording, with the effects of the solar eclipse visible between 03:00:00 (17:00 UTC), and approximately 05:30:00 (19:30 UTC).</p> <p>Audio from WWVB was recorded as a 1 kHz tone on the left audio channel. A 1 kHz reference tone was recorded on the right channel. The phase of the reference tone was close to zero degrees at the beginning of the recording.</p> <p> </p>
Duhumbi Phonology - Pitch and Tone
<p>Duhumbi is classified as a non-tonal language. Unlike several Central and East Bodish languages, in Duhumbi, distinctive tone cannot be conclusively attested even on the most common consonants affected by tone, namely the nasals /n, m, ng, ny/ and the approximants /l, r, w, y/. Nonetheless, Duhumbi clearly shows the first signs of the development of distinctive tone, or at least a distinctive pitch contrast. There are five main phonotactic conditions in which pitch distinctions can be observed, of which some form of glottalisation is the main one. The distinctive glottal constricted vowels /a, e, o, u/ in open syllables all have a rising pitch. The same holds for pre-glotallised initial vowels. Also, a high-falling pitch contour can be shown to be triggered by glottal reinforcement of syllable-final plosives. In addition, a high-falling versus low-level contour pitch contrast has been observed between lexemes with unaspirated unvoiced, aspirated unvoiced and unaspirated voiced plosive onsets. Finally, of the few attested contrastive minimal pairs for tone, the high onset/high-falling pitch lexemes of these minimal pairs can be shown to have Bodish cognates with a high onset, and the pitch contrast may thus be presumed to be borrowed as phonological feature of the entire lexeme.</p> <p>This material is made freely available to everyone for informative or scientific purposes as long as the source (this DOI) / the collectors are properly credited. Please note that use of the material for commercial purposes <em><strong>of any kind</strong>, which includes conversion into commercial audio-visual media (documentaries etc.), storage and dissemination through sites that require registration & payment for access, or sites that rely on advertisement (including YouTube) </em>is <strong>not</strong> permitted without <strong>specific written consent</strong> from the speakers and their community, obtained through the collectors of the material. By downloading our material, you agree to these restrictions.</p> <p>This data set falls under the Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. This license lets you remix, tweak, and build upon this work non-commercially, as long as you credit us and license your new creations under the identical terms. License Deed on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/">https://creativecommons.org/licenses/by-nc-sa/4.0/</a>. Legal Code on <a href="https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode">https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode</a>.</p> <p>Tim Bodt: bodttim (at) gmail (dot) com</p>
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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.