cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1286570
title: Choral Singing Dataset

description: <strong>Choral Singing Dataset</strong>

This dataset was presented at the 15th ICMPC/10th ESCOM conference together with the paper: 

Cuesta, H., Gómez, E., Martorell, A., Loáiciga, F. (2018). <em>Analysis of Intonation in Unison Choir Singing</em>. In <em>Proceedings of the 15th International Conference on Music Perception and Cognition.</em>

It contains the individual audio recordings of 16 singers of the Anton Bruckner Choir from Barcelona (Spain) performing 3 different pieces <em>a cappella, </em>together with their associated MIDI files.

Singers were recorded in groups of four (4 singers per choir section), with individual close microphones with cardioid polar pattern for directivity purposes. The performance was virtually conducted by the conductor of the choir through a video, which was displayed in all the recording sessions for synchronization purposes. Singers also had the possibility to hear a piano reference (through headphones) for tuning purposes.

Three pieces were selected based on the choir repertoire and on the specific needs of the study, which were basically related to the language of the lyrics. These are the pieces we chose:


	<em>Locus Iste</em>, written by Anton Bruckner (Latin).
	<em>Niño Dios</em>, written by Francisco Guerrero (Spanish).
	<em>El Rossinyol</em>, popular Catalan song.


Overall, this dataset contains, for each of these pieces, the tracks of each individual singer (16 singers), together with the synchronized MIDI files of each choir section. Having the individual tracks also allows researchers to create the unison mix for each section, as well as the whole choir performance. The dataset covers the frequency range between 87 Hz and 783 Hz and is especially dense between 150 and 450 Hz. The notes have durations that range between 0.15 and 6.21 seconds, with an average of 0.84 seconds. 

If using this data in your research, please cite the aforementioned paper. For any question or comment, please contact the first author.

The dataset is compressed into a zip file. After decompression, data is organized in folders (one folder for each piece).
DOI: 10.5281/zenodo.1287633
title: Training Dataset

description: Dataset
DOI: 10.5281/zenodo.1287634
title: Training Dataset

description: Dataset
DOI: 10.6073/pasta/ebdded14a39ad80350fe860521bd57f5
title: PIE LTER year 2012, 5 minute and 15 minute measurements of specific conductance, water temperature in a small headwater stream draining a highly suburban catchment (72% residential), Saw Mill Brook, Burlington, MA.

description: Year 2012, continuous measurements, every 5 minutes for the first deployment and 15 minutes until the end of the year, were made of conductivity, water temperature in a small headwater stream, Saw Mill Brook, Burlington, MA, draining a highly suburban catchment (72% residential). in the Ipswich River watershed.
DOI: 10.5281/zenodo.1283355
title: Turkish Makam Acapella Sections Dataset

description: Turkish makam  acapella sections dataset is sung by professional singers and is a collection of recordings  of compositions from the vocal form şarkı. They are selected to be the same as the recordings in version two of http://compmusic.upf.edu/turkish-sarki

The main intention is to provide acapella counterpart to polyphonic recordings.  

<strong>THE DATASET </strong>

<strong>Audio music content</strong>

The collection has annotations with section, lyrics phrases and lyrics words. Each section, lyrics word and  lyrical phrase is aligned to its corresponding segment in the audio. Annotations of secitons (aranağme, zemin etc.) are taken from https://github.com/MTG/turkish_makam_section_dataset

FORMAT: All annotations in TextGrid (used in Praat)

turkish-makam-acapella-sections-dataset-2.0.zip  is organised by artist and makam_acapella-master_1.0.zip  is organised by musicbrainz ID.

<strong>Using this dataset</strong>

Please cite one of the following publications  if you use the dataset in your work:


Dzhambazov, G., & Serra X. (2015).  Modeling of Phoneme Durations for Alignment between Polyphonic Audio and Lyrics. Sound and Music Computing Conference 2015.


Or


Dzhambazov, G., Şentürk S., & Serra X. (2015).  Searching Lyrical Phrases in A-Capella Turkish Makam Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference


We are interested in knowing if you find our datasets useful! If you use our dataset please email us at mtg-info@upf.edu and tell us about your research.

<strong>Contact</strong>

If you have any questions or comments about the dataset, please feel free to write to us.

Georgi Dzhambazov<br>
Music Technology Group,<br>
Universitat Pompeu Fabra,<br>
Barcelona, Spain<br>
georgi &lt;dot&gt; dzhambazov &lt;at&gt; upf &lt;dot&gt;edu

 

http://compmusic.upf.edu/turkish-makam-acapella-sections-dataset
description: {"references": ["Dzhambazov, G., & Serra X. (2015).  Modeling of Phoneme Durations for Alignment between Polyphonic Audio and Lyrics. Sound and Music Computing Conference 2015.", "Dzhambazov, G., \u015eent\u00fcrk S., & Serra X. (2015).  Searching Lyrical Phrases in A-Capella Turkish Makam Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference"]}
DOI: 10.5281/zenodo.1283356
title: Turkish Makam Acapella Sections Dataset

description: Turkish makam  acapella sections dataset is sung by professional singers and is a collection of recordings  of compositions from the vocal form şarkı. They are selected to be the same as the recordings in version two of http://compmusic.upf.edu/turkish-sarki

The main intention is to provide acapella counterpart to polyphonic recordings.  

<strong>THE DATASET </strong>

<strong>Audio music content</strong>

The collection has annotations with section, lyrics phrases and lyrics words. Each section, lyrics word and  lyrical phrase is aligned to its corresponding segment in the audio. Annotations of secitons (aranağme, zemin etc.) are taken from https://github.com/MTG/turkish_makam_section_dataset

FORMAT: All annotations in TextGrid (used in Praat)

Please cite one of the following publications  if you use the dataset in your work:


Dzhambazov, G., & Serra X. (2015).  Modeling of Phoneme Durations for Alignment between Polyphonic Audio and Lyrics. Sound and Music Computing Conference 2015.


Or


Dzhambazov, G., Şentürk S., & Serra X. (2015).  Searching Lyrical Phrases in A-Capella Turkish Makam Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference


 

turkish-makam-acapella-sections-dataset-1.0.zip  is organised by artist and makam_acapella-master_1.0.zip  is organised by musicbrainz ID.

 

<strong>Contact</strong>

If you have any questions or comments about the dataset, please feel free to write to us.

Georgi Dzhambazov

Music Technology Group,

Universitat Pompeu Fabra, 

Barcelona, Spain

georgi &lt;dot&gt; dzhambazov &lt;at&gt; upf &lt;dot&gt;edu

 

http://compmusic.upf.edu/turkish-makam-acapella-sections-dataset
description: {"references": ["Dzhambazov, G., & Serra X. (2015).  Modeling of Phoneme Durations for Alignment between Polyphonic Audio and Lyrics. Sound and Music Computing Conference 2015.", "Dzhambazov, G., \u015eent\u00fcrk S., & Serra X. (2015).  Searching Lyrical Phrases in A-Capella Turkish Makam Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference"]}
DOI: 10.5517/ccdc.csd.cc1nmbl6
title: CCDC 1537928: Experimental Crystal Structure Determination

description: Related Article: Kaimeng Guo, Lili Zhao, Shihang Yu, Wenyan Zhou, Zifeng Li, Gang Li|2018|Inorg.Chem.|57|7104|doi:10.1021/acs.inorgchem.8b00806
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nz43w
title: CCDC 1548298: Experimental Crystal Structure Determination

description: Related Article: Rajib Pramanick, Rameswar Bhattacharjee, Debabrata Sengupta, Ayan Datta, Sreebrata Goswami|2018|Inorg.Chem.|57|6816|doi:10.1021/acs.inorgchem.8b00034
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nz44x
title: CCDC 1548299: Experimental Crystal Structure Determination

description: Related Article: Rajib Pramanick, Rameswar Bhattacharjee, Debabrata Sengupta, Ayan Datta, Sreebrata Goswami|2018|Inorg.Chem.|57|6816|doi:10.1021/acs.inorgchem.8b00034
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nz45y
title: CCDC 1548300: Experimental Crystal Structure Determination

description: Related Article: Rajib Pramanick, Rameswar Bhattacharjee, Debabrata Sengupta, Ayan Datta, Sreebrata Goswami|2018|Inorg.Chem.|57|6816|doi:10.1021/acs.inorgchem.8b00034
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1phch1
title: CCDC 1563903: Experimental Crystal Structure Determination

description: Related Article: Xin Xu, Haoqiang Zhao, Jianbin Xu, Changjun Chen, Yixiao Pan, Zhenli Luo, Zongyao Zhang, Huanrong Li, Lijin Xu|2018|Org.Lett.|20|3843|doi:10.1021/acs.orglett.8b01434
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1plphg
title: CCDC 1567096: Experimental Crystal Structure Determination

description: Related Article: Yu-Kang Wang, Li-Ming Zhao, Yu-Qing Fu, Zhao Chen, Xiao-Yan Lin, Dao-Hua Wang, Yi Li, Hao-Hong Li, Zhi-Rong Chen|2018|Cryst.Growth Des.|18|3827|doi:10.1021/acs.cgd.8b00033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5676/dwd_gpcc/fd_m_v2018_250
title: GPCC Full Data Monthly Version 2018.0 at 2.5°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data
title: Gridded Monthly Totals

description: This is the centennial GPCC Full Data Monthly Product of monthly global land-surface precipitation based on ~ 80,000 stations world-wide that feature record durations of 10 years or longer.
			The data coverage per month varies from ~10,000 to more than 50,000 stations.
			This product contains the monthly totals on a regular grid with a spatial resolution of 0.25° 0.5° x 0.5° latitude by longitude.
			Precipitation anomalies at the stations are interpolated and then superimposed on the GPCC Climatology V2018 in the corresponding resolution (DOI: 10.5676/DWD_GPCC/CLIM_M_V2018_025).
			The temporal coverage of the dataset ranges from January 1891 until December 2016.
			The GPCC Full Data Monthly Product is the most accurate in situ precipitation reanalysis data set of GPCC.
			Moreover it supports regional climate monitoring, model validation, climate variability analysis and water resources assessment studies.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness,
			for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Reanalysis (GPCC_FD) with high accuracy, for, e.g., verification of models,
			or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., trend and teleconnection analyses.
			GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting.
			GPCC First Guess Product (GPCC_FG) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.6073/pasta/28fa9e74749185288c6edf916cec04c6
title: Postfire aspen presence, persistence and size in subalpine forests of Yellowstone National Park, USA. 1996 - 2014

description: Determining how ecological filters (e.g., climate, soils, biotic
  interactions) influence where species succeed in heterogeneous
  landscapes is challenging for long-lived species (e.g., trees),
  because filters can vary over space and change slowly through time.
  Stand-replacing wildfires create opportunities for establishment of
  tree-species cohorts and can catalyze rapid shifts in where species
  occur, facilitating unique opportunities for long-term study. We
  quantified effects of multiple ecological filters on a colonizing
  cohort of aspen (Populus tremuloides) that established from seed
  throughout burned lodgepole pine (Pinus contorta var. latifolia)
  forests after the 1988 fires in Yellowstone National Park (Wyoming,
  USA) to ask: (1) How have aspen presence, density, and size varied
  across the postfire landscape, and what filters explain these spatial
  and temporal patterns? (2) How does aspen above-and belowground
  biomass vary with postfire lodgepole-pine density? Aspen persisted to
  postfire year 25 in 58% of the plots in which aspen were present in
  postfire year 11 (n = 45), and mean stem density declined from 522 to
  310 stems ha-1. Mean aspen height doubled (from 29 to 59 cm) over this
  period. Ecological filters related to climate, competition, herbivory,
  and soils all differentially affected aspen presence, persistence, and
  size. Growing season temperature, inter-specific competition, and
  herbivory also changed through time, altering their effects on the
  colonizing cohort, and shifting where on the landscape aspen
  persistence and growth were ultimately favored. Eleven years postfire,
  aspen were favored at warmer, low elevations; ungulate browsing
  strongly constrained aspen heights; and competition was unimportant.
  By 25-years postfire, temperatures warmed nearly 1 C, and aspen were
  more likely to persist at cooler, high elevations. Browsing pressure
  declined, as ungulate populations decreased during this time, but
  aspen height and basal diameters were constrained by dense, rapidly
  growing postfire conifers. Landscape mosaics of ecological filters
  shift over space and time and can facilitate or constrain the
  persistence and growth of colonizing species. Long-term study of
  post-disturbance colonizing cohorts uniquely reveal how species are
  responding to real-time environmental change in heterogeneous
  landscapes, which will help us better anticipate 21st century species
  distributions and abundances.
DOI: 10.5281/zenodo.1287656
title: Turkish Makam Acapella Sections Dataset

description: Turkish makam  acapella sections dataset is sung by professional singers and is a collection of recordings  of compositions from the vocal form şarkı. They are selected to be the same as the recordings in version two of http://compmusic.upf.edu/turkish-sarki

The main intention is to provide acapella counterpart to polyphonic recordings.  

<strong>THE DATASET </strong>

<strong>Audio music content</strong>

The collection has annotations with section, lyrics phrases and lyrics words. Each section, lyrics word and  lyrical phrase is aligned to its corresponding segment in the audio. Annotations of secitons (aranağme, zemin etc.) are taken from https://github.com/MTG/turkish_makam_section_dataset

FORMAT: All annotations in TextGrid (used in Praat)

turkish-makam-acapella-sections-dataset-2.0.zip  is organised by artist and makam_acapella-master_1.0.zip  is organised by musicbrainz ID.

<strong>Using this dataset</strong>

Please cite one of the following publications  if you use the dataset in your work:


Dzhambazov, G., & Serra X. (2015).  Modeling of Phoneme Durations for Alignment between Polyphonic Audio and Lyrics. Sound and Music Computing Conference 2015.


Or


Dzhambazov, G., Şentürk S., & Serra X. (2015).  Searching Lyrical Phrases in A-Capella Turkish Makam Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference


We are interested in knowing if you find our datasets useful! If you use our dataset please email us at mtg-info@upf.edu and tell us about your research.

<strong>Contact</strong>

If you have any questions or comments about the dataset, please feel free to write to us.

Georgi Dzhambazov<br>
Music Technology Group,<br>
Universitat Pompeu Fabra,<br>
Barcelona, Spain<br>
georgi &lt;dot&gt; dzhambazov &lt;at&gt; upf &lt;dot&gt;edu

 

http://compmusic.upf.edu/turkish-makam-acapella-sections-dataset
description: {"references": ["Dzhambazov, G., & Serra X. (2015).  Modeling of Phoneme Durations for Alignment between Polyphonic Audio and Lyrics. Sound and Music Computing Conference 2015.", "Dzhambazov, G., \u015eent\u00fcrk S., & Serra X. (2015).  Searching Lyrical Phrases in A-Capella Turkish Makam Recordings. 16th International Society for Music Information Retrieval (ISMIR) Conference"]}
DOI: 10.5517/ccdc.csd.cc1q0m9n
title: CCDC 1579521: Experimental Crystal Structure Determination

description: Related Article: Nicole A. Vanagas, Jennifer N. Wacker, Christopher L. Rom, Elliot N. Glass, Ian Colliard, Yusen Qiao, Jeffery A. Bertke, Edward Van Keuren, Eric J. Schelter, May Nyman, Karah E. Knope|2018|Inorg.Chem.|57|7259|doi:10.1021/acs.inorgchem.8b00919
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q0mbp
title: CCDC 1579522: Experimental Crystal Structure Determination

description: Related Article: Nicole A. Vanagas, Jennifer N. Wacker, Christopher L. Rom, Elliot N. Glass, Ian Colliard, Yusen Qiao, Jeffery A. Bertke, Edward Van Keuren, Eric J. Schelter, May Nyman, Karah E. Knope|2018|Inorg.Chem.|57|7259|doi:10.1021/acs.inorgchem.8b00919
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q3z3x
title: CCDC 1582739: Experimental Crystal Structure Determination

description: Related Article: Yu-Kang Wang, Li-Ming Zhao, Yu-Qing Fu, Zhao Chen, Xiao-Yan Lin, Dao-Hua Wang, Yi Li, Hao-Hong Li, Zhi-Rong Chen|2018|Cryst.Growth Des.|18|3827|doi:10.1021/acs.cgd.8b00033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q3zrk
title: CCDC 1582759: Experimental Crystal Structure Determination

description: Related Article: Yu-Kang Wang, Li-Ming Zhao, Yu-Qing Fu, Zhao Chen, Xiao-Yan Lin, Dao-Hua Wang, Yi Li, Hao-Hong Li, Zhi-Rong Chen|2018|Cryst.Growth Des.|18|3827|doi:10.1021/acs.cgd.8b00033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q4hs4
title: CCDC 1583256: Experimental Crystal Structure Determination

description: Related Article: Yu-Kang Wang, Li-Ming Zhao, Yu-Qing Fu, Zhao Chen, Xiao-Yan Lin, Dao-Hua Wang, Yi Li, Hao-Hong Li, Zhi-Rong Chen|2018|Cryst.Growth Des.|18|3827|doi:10.1021/acs.cgd.8b00033
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zlc75
title: CCDC 1834897: Experimental Crystal Structure Determination

description: Related Article: Trevor D. Lohrey, Robert G. Bergman, John Arnold|2018|Organometallics|37|3552|doi:10.1021/acs.organomet.8b00238
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zlc86
title: CCDC 1834898: Experimental Crystal Structure Determination

description: Related Article: Trevor D. Lohrey, Robert G. Bergman, John Arnold|2018|Organometallics|37|3552|doi:10.1021/acs.organomet.8b00238
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.