cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5f6wymc9bb.1
title: Data for: Cutting the forest down to save your face: Narcissistic national identification predicts support for anti-conservation policies

description: Three datasets (both spss and csv files) accompanied by MPlus syntaxes which allow for replicating the analyses presented in the manuscript and in SOM.
DOI: 10.5255/ukda-sn-853013
title: Lifelong loyalty, survey data 2015
DOI: 10.5255/ukda-sn-853014
title: British Premier league fans, survey data 2014
DOI: 10.5281/zenodo.1322505
title: Corpuscofla Metadata

description: The <strong>corpusCOFLA</strong> is a collection of more than 1500 flamenco recordings which are representative of what is considered <em>classical flamenco</em>. All contained tracks are taken from 12 commercially available flamenco anthologies in order to minimize a possible bias towards geographic location, singer or record label. We provide the editorial meta-information together with the musicBrainz IDs for all tracks as well as the anthologies as XML documents.

Content:


	<strong>corpus meta data</strong> (619KB): XML file containing editorial meta-information for all tracks: source (anthology, CD number, track number), artist, title, style and musicBrainzID.
	<strong>anthology meta data</strong> (3KB): XML file containing editorial meta-information for all anthologies comprising the corpus: name, record label, year edition, year re-edition, number of CDs


<strong>Version 1</strong> (released Nov 23rd, 2017):


	the anthology “Antología del Cante Flamenco. Flamencología.” is no longer commercially available and has been removed from the corpus
	in the corpus meta-data, a field “style_annotated” has been added, which contains unified styles annotations
	singer names have been assigned unique identifiers


<strong>Publications</strong>

This work has been accepted for publication in the <em>ACM Journal of Computation and Cultural heritage</em> and is currently available in <em>arXiv</em>.


N. Kroher, J. M. Díaz-Báñez, J. Mora and E. Gómez (2015): <strong>Corpus COFLA: A research corpus for the Computational study of Flamenco Music.</strong> <em>arXiv:1510.04029</em> [cs.SD cs.IR].


https://doi.org/10.1145/2875428

<strong>Conditions of use</strong>

The provided datasets are offered free of charge for internal non-commercial use. We do not grant any rights for redistribution or modification. All data collections were gathered by the COFLA team.<br>
© COFLA 2015. All rights reserved.

 

<strong>corpusCOFLA Audio</strong>
DOI: 10.5281/zenodo.1341456
title: Tomographic X-Ray Data Of Time-Dependent 3D Cross Phantom

description: This is the documentation of the tomographic X-ray data of a dynamic cross phantom made available at http://www.fips.fi/dataset.php. The data can be freely used for scientific purposes with appropriate references to the data and to this document in http://arxiv.org/. The data set consists of (1) the X-ray sinogram with 16 or 30 time frames (depending on resolution) of 2D slices of the cross phantom, made by crossing aluminum and graphite sticks in melted candle wax and (2) the corresponding static and dynamic measurement matrices modeling the linear operation of the X-ray transform. Each of these sinograms was obtained from a measured 360-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.

This new version contains added file DataStatic_560x60.mat  with 80 time frames and DataStatic_1120x60.mat  with 230 time frames. You can run these files with the code example 2, which computes a Tikhonov regularized reconstruction using conjugate gradient algorithm.
DOI: 10.5281/zenodo.1341457
title: Tomographic X-Ray Data Of Time-Dependent 3D Cross Phantom

description: This is the documentation of the tomographic X-ray data of a dynamic cross phantom made available at http://www.fips.fi/dataset.php. The data can be freely used for scientific purposes with appropriate references to the data and to this document in http://arxiv.org/. The data set consists of (1) the X-ray sinogram with 16 or 30 time frames (depending on resolution) of 2D slices of the cross phantom, made by crossing aluminum and graphite sticks in melted candle wax and (2) the corresponding static and dynamic measurement matrices modeling the linear operation of the X-ray transform. Each of these sinograms was obtained from a measured 360-projection fan-beam sinogram by down-sampling and taking logarithms. The original (measured) sinogram is also provided in its original form and resolution.
DOI: 10.5281/zenodo.1322504
title: Corpuscofla Metadata

description: The <strong>corpusCOFLA</strong> is a collection of more than 1500 flamenco recordings which are representative of what is considered <em>classical flamenco</em>. All contained tracks are taken from 12 commercially available flamenco anthologies in order to minimize a possible bias towards geographic location, singer or record label. We provide the editorial meta-information together with the musicBrainz IDs for all tracks as well as the anthologies as XML documents.

Content:


	<strong>corpus meta data</strong> (619KB): XML file containing editorial meta-information for all tracks: source (anthology, CD number, track number), artist, title, style and musicBrainzID.
	<strong>anthology meta data</strong> (3KB): XML file containing editorial meta-information for all anthologies comprising the corpus: name, record label, year edition, year re-edition, number of CDs


<strong>Version 1</strong> (released Nov 23rd, 2017):


	the anthology “Antología del Cante Flamenco. Flamencología.” is no longer commercially available and has been removed from the corpus
	in the corpus meta-data, a field “style_annotated” has been added, which contains unified styles annotations
	singer names have been assigned unique identifiers


<strong>Publications</strong>

This work has been accepted for publication in the <em>ACM Journal of Computation and Cultural heritage</em> and is currently available in <em>arXiv</em>.


N. Kroher, J. M. Díaz-Báñez, J. Mora and E. Gómez (2015): <strong>Corpus COFLA: A research corpus for the Computational study of Flamenco Music.</strong> <em>arXiv:1510.04029</em> [cs.SD cs.IR].


https://doi.org/10.1145/2875428

<strong>Conditions of use</strong>

The provided datasets are offered free of charge for internal non-commercial use. We do not grant any rights for redistribution or modification. All data collections were gathered by the COFLA team.<br>
© COFLA 2015. All rights reserved.

 

<strong>corpusCOFLA Audio</strong>
DOI: 10.5281/zenodo.1322525
title: Cante2Midi Metadata

description: The <strong>cante2midi</strong> dataset contains 20 tracks taken from the corpus and includes a large variety of styles and complexity with respect to melodic ornamentation. We provide note-level transcriptions of the singing voice melody in a MIDI-like format, where each note is defined by onset time, duration and a quantized MIDI pitch. In addition, we provide a number of low-level descriptors and the fundamental frequency corresponding to the predominant melody for each track. The meta-information includes editoral meta-data and the musicBrainz IDs.

Content:


	<strong>README</strong> (5KB): Text file containing detailed descriptions of manual and automatic annotations.
	<strong>meta-data</strong> (10KB): XML file containing meta-information: Source (anthology name, CD no. and track no.) and editorial meta-data (artist name, title, style and musicBrainzID).
	<strong>manual transcriptions</strong> (82KB): MIDI (.mid) and text files (.notes) containing manual note-level transcriptions of the singing voice.
	<strong>automatic transcriptions</strong> (75KB): Text files (.notes) and MIDI files (.mid) containing automatic note-level transcriptions of the singing voice.
	<strong>Bark band energies</strong> (39.9MB): Text files (.csv) containing the frame-wise extracted bark band energies.
	<strong>predominant melody</strong> (6.2MB): Text files (.csv) containing the frame-wise extracted predominant melody.
	<strong>low-level descriptors</strong> (7.9MB)Text files (.csv) containing a set of frame-wise extracted low-level features.
	<strong>MFCCs</strong> (17.8MB): Text files (.csv) containing the frame-wise extracted mel-frequency cepstral coefficients (MFCCs).
	<strong>Magnitude spectrum</strong> (709.1MB, optional): Text files (.csv) containing the frame-wise extracted magnitudes of the discrete fourier transform (DFT)


<strong>Publications</strong>

This work has been accepted for publication in the <em>ACM Journal of Computation and Cultural heritage</em> and is currently available in <em>arXiv</em>.


N. Kroher, J. M. Díaz-Báñez, J. Mora and E. Gómez (2015): <strong>Corpus COFLA: A research corpus for the Computational study of Flamenco Music.</strong> <em>arXiv:1510.04029</em> [cs.SD cs.IR].


https://doi.org/10.1145/2875428

<strong>Conditions of use</strong>

The provided datasets are offered free of charge for internal non-commercial use. We do not grant any rights for redistribution or modification. All data collections were gathered by the COFLA team.<br>
© COFLA 2015. All rights reserved.

 

<strong>cante2midi Audio</strong>
DOI: 10.5281/zenodo.1322526
title: Cante2Midi Metadata

description: The <strong>cante2midi</strong> dataset contains 20 tracks taken from the corpus and includes a large variety of styles and complexity with respect to melodic ornamentation. We provide note-level transcriptions of the singing voice melody in a MIDI-like format, where each note is defined by onset time, duration and a quantized MIDI pitch. In addition, we provide a number of low-level descriptors and the fundamental frequency corresponding to the predominant melody for each track. The meta-information includes editoral meta-data and the musicBrainz IDs.

Content:


	<strong>README</strong> (5KB): Text file containing detailed descriptions of manual and automatic annotations.
	<strong>meta-data</strong> (10KB): XML file containing meta-information: Source (anthology name, CD no. and track no.) and editorial meta-data (artist name, title, style and musicBrainzID).
	<strong>manual transcriptions</strong> (82KB): MIDI (.mid) and text files (.notes) containing manual note-level transcriptions of the singing voice.
	<strong>automatic transcriptions</strong> (75KB): Text files (.notes) and MIDI files (.mid) containing automatic note-level transcriptions of the singing voice.
	<strong>Bark band energies</strong> (39.9MB): Text files (.csv) containing the frame-wise extracted bark band energies.
	<strong>predominant melody</strong> (6.2MB): Text files (.csv) containing the frame-wise extracted predominant melody.
	<strong>low-level descriptors</strong> (7.9MB)Text files (.csv) containing a set of frame-wise extracted low-level features.
	<strong>MFCCs</strong> (17.8MB): Text files (.csv) containing the frame-wise extracted mel-frequency cepstral coefficients (MFCCs).
	<strong>Magnitude spectrum</strong> (709.1MB, optional): Text files (.csv) containing the frame-wise extracted magnitudes of the discrete fourier transform (DFT)


<strong>Publications</strong>

This work has been accepted for publication in the <em>ACM Journal of Computation and Cultural heritage</em> and is currently available in <em>arXiv</em>.


N. Kroher, J. M. Díaz-Báñez, J. Mora and E. Gómez (2015): <strong>Corpus COFLA: A research corpus for the Computational study of Flamenco Music.</strong> <em>arXiv:1510.04029</em> [cs.SD cs.IR].


https://doi.org/10.1145/2875428

<strong>Conditions of use</strong>

The provided datasets are offered free of charge for internal non-commercial use. We do not grant any rights for redistribution or modification. All data collections were gathered by the COFLA team.<br>
© COFLA 2015. All rights reserved.

 

<strong>cante2midi Audio</strong>
DOI: 10.5281/zenodo.1322541
title: Cante100 Metadata

description: The <strong>cante100</strong> dataset contains 100 tracks taken from the corpus. We defined 10 style families of which 10 tracks each are included. Apart from the style family, we manually annotated the sections of the track in which the vocals are present. In addition, we provide a number of low-level descriptors and the fundamental frequency corresponding to the predominant melody for each track. The meta-information includes editoral meta-data and the musicBrainz ID.

Content:


	<strong>README</strong> (5KB): Text file containing detailed descriptions of manual and automatic annotations.
	<strong>meta-data</strong> (59KB): XML file containing meta-information: Source (anthology name, CD no. and track no.), editorial meta-data (artist name, title, style, musicBrainzID) and the manually annotated style family.
	<strong>vocal sections</strong> (8.9MB): Text file (.csv) containing frame-wise vocal section annotations.
	<strong>automatic transcriptions</strong> (375KB): Text files (.notes) and MIDI files (.mid) containing automatic note-level transcriptions of the singing voice.
	<strong>Bark band energies</strong> (216.6MB): Text files (.csv) containing the frame-wise extracted bark band energies.
	<strong>predominant melody</strong> (33.5MB): Text files (.csv) containing the frame-wise extracted predominant melody.
	<strong>low-level descriptors</strong> (42.9MB): Text files (.csv) containing a set of frame-wise extracted low-level features.
	<strong>MFCCs</strong> (97.1MB): Text files (.csv) containing the frame-wise extracted mel-frequency cepstral coefficients (MFCCs).
	<strong>Magnitude spectrum</strong> (3.85GB): Text files (.csv) containing the frame-wise extracted magnitudes of the discrete fourier transform (DFT).


<strong>Publications</strong>

This work has been accepted for publication in the <em>ACM Journal of Computation and Cultural heritage</em> and is currently available in <em>arXiv</em>.


N. Kroher, J. M. Díaz-Báñez, J. Mora and E. Gómez (2015): <strong>Corpus COFLA: A research corpus for the Computational study of Flamenco Music.</strong> <em>arXiv:1510.04029</em> [cs.SD cs.IR].


https://doi.org/10.1145/2875428

<strong>Conditions of use</strong>

The provided datasets are offered free of charge for internal non-commercial use. We do not grant any rights for redistribution or modification. All data collections were gathered by the COFLA team.<br>
© COFLA 2015. All rights reserved.

 

<strong>cante100 Audio</strong>
DOI: 10.5281/zenodo.1322542
title: Cante100 Metadata

description: The <strong>cante100</strong> dataset contains 100 tracks taken from the corpus. We defined 10 style families of which 10 tracks each are included. Apart from the style family, we manually annotated the sections of the track in which the vocals are present. In addition, we provide a number of low-level descriptors and the fundamental frequency corresponding to the predominant melody for each track. The meta-information includes editoral meta-data and the musicBrainz ID.

Content:


	<strong>README</strong> (5KB): Text file containing detailed descriptions of manual and automatic annotations.
	<strong>meta-data</strong> (59KB): XML file containing meta-information: Source (anthology name, CD no. and track no.), editorial meta-data (artist name, title, style, musicBrainzID) and the manually annotated style family.
	<strong>vocal sections</strong> (8.9MB): Text file (.csv) containing frame-wise vocal section annotations.
	<strong>automatic transcriptions</strong> (375KB): Text files (.notes) and MIDI files (.mid) containing automatic note-level transcriptions of the singing voice.
	<strong>Bark band energies</strong> (216.6MB): Text files (.csv) containing the frame-wise extracted bark band energies.
	<strong>predominant melody</strong> (33.5MB): Text files (.csv) containing the frame-wise extracted predominant melody.
	<strong>low-level descriptors</strong> (42.9MB): Text files (.csv) containing a set of frame-wise extracted low-level features.
	<strong>MFCCs</strong> (97.1MB): Text files (.csv) containing the frame-wise extracted mel-frequency cepstral coefficients (MFCCs).
	<strong>Magnitude spectrum</strong> (3.85GB): Text files (.csv) containing the frame-wise extracted magnitudes of the discrete fourier transform (DFT).


<strong>Publications</strong>

This work has been accepted for publication in the <em>ACM Journal of Computation and Cultural heritage</em> and is currently available in <em>arXiv</em>.


N. Kroher, J. M. Díaz-Báñez, J. Mora and E. Gómez (2015): <strong>Corpus COFLA: A research corpus for the Computational study of Flamenco Music.</strong> <em>arXiv:1510.04029</em> [cs.SD cs.IR].


https://doi.org/10.1145/2875428

<strong>Conditions of use</strong>

The provided datasets are offered free of charge for internal non-commercial use. We do not grant any rights for redistribution or modification. All data collections were gathered by the COFLA team.<br>
© COFLA 2015. All rights reserved.

 

<strong>cante100 Audio</strong>
DOI: 10.5281/zenodo.1322551
title: Cantefan Metadata

description: The<strong> canteFAN </strong>dataset contains 10 recordings of the fandango style taken from the corpus. We manually annotated repeated melodic patterns on a track-leve. In addition, we provide a number of low-level descriptors and the fundamental frequency corresponding to the predominant melody for each track. The meta-information includes editoral meta-data and the musicBrainz ID.

Content:


	<strong>README</strong> (5KB): Text file containing detailed descriptions of manual and automatic annotations.
	<strong>meta-data</strong> (5KB): XML file containing meta-information: Source (anthology name, CD no. and track no.) and editorial meta-data (artist name, title, style, musicBrainzID).
	<strong>pattern annotations</strong> (6KB): text (.txt) files containing the manually annotated repeated melodic patterns.
	<strong>automatic transcriptions</strong> (28KB): Text files (.notes) and MIDI files (.mid) containing automatic note-level transcriptions of the singing voice.
	<strong>Bark band energies</strong> (16.6MB): Text files (.csv) containing the frame-wise extracted bark band energies.
	<strong>predominant melody</strong> (2.6MB): Text files (.csv) containing the frame-wise extracted predominant melody.
	<strong>low-level descriptors</strong> (3.3MB): Text files (.csv) containing a set of frame-wise extracted low-level features.
	<strong>MFCCs</strong> (7.4MB): Text files (.csv) containing the frame-wise extracted mel-frequency cepstral coefficients (MFCCs).
	<strong>Magnitude spectrum</strong> (290.1MB): Text files (.csv) containing the frame-wise extracted magnitudes of the discrete fourier transform (DFT).





<strong>Publications</strong>

This work has been accepted for publication in the <em>ACM Journal of Computation and Cultural heritage</em> and is currently available in <em>arXiv</em>.


N. Kroher, J. M. Díaz-Báñez, J. Mora and E. Gómez (2015): <strong>Corpus COFLA: A research corpus for the Computational study of Flamenco Music.</strong> <em>arXiv:1510.04029</em> [cs.SD cs.IR].


https://doi.org/10.1145/2875428

<strong>Conditions of use</strong>

The provided datasets are offered free of charge for internal non-commercial use. We do not grant any rights for redistribution or modification. All data collections were gathered by the COFLA team.<br>
© COFLA 2015. All rights reserved.

 

<strong>canteFAN Audio</strong>
DOI: 10.5281/zenodo.1322552
title: Cantefan Metadata

description: The<strong> canteFAN </strong>dataset contains 10 recordings of the fandango style taken from the corpus. We manually annotated repeated melodic patterns on a track-leve. In addition, we provide a number of low-level descriptors and the fundamental frequency corresponding to the predominant melody for each track. The meta-information includes editoral meta-data and the musicBrainz ID.

Content:


	<strong>README</strong> (5KB): Text file containing detailed descriptions of manual and automatic annotations.
	<strong>meta-data</strong> (5KB): XML file containing meta-information: Source (anthology name, CD no. and track no.) and editorial meta-data (artist name, title, style, musicBrainzID).
	<strong>pattern annotations</strong> (6KB): text (.txt) files containing the manually annotated repeated melodic patterns.
	<strong>automatic transcriptions</strong> (28KB): Text files (.notes) and MIDI files (.mid) containing automatic note-level transcriptions of the singing voice.
	<strong>Bark band energies</strong> (16.6MB): Text files (.csv) containing the frame-wise extracted bark band energies.
	<strong>predominant melody</strong> (2.6MB): Text files (.csv) containing the frame-wise extracted predominant melody.
	<strong>low-level descriptors</strong> (3.3MB): Text files (.csv) containing a set of frame-wise extracted low-level features.
	<strong>MFCCs</strong> (7.4MB): Text files (.csv) containing the frame-wise extracted mel-frequency cepstral coefficients (MFCCs).
	<strong>Magnitude spectrum</strong> (290.1MB): Text files (.csv) containing the frame-wise extracted magnitudes of the discrete fourier transform (DFT).





<strong>Publications</strong>

This work has been accepted for publication in the <em>ACM Journal of Computation and Cultural heritage</em> and is currently available in <em>arXiv</em>.


N. Kroher, J. M. Díaz-Báñez, J. Mora and E. Gómez (2015): <strong>Corpus COFLA: A research corpus for the Computational study of Flamenco Music.</strong> <em>arXiv:1510.04029</em> [cs.SD cs.IR].


https://doi.org/10.1145/2875428

<strong>Conditions of use</strong>

The provided datasets are offered free of charge for internal non-commercial use. We do not grant any rights for redistribution or modification. All data collections were gathered by the COFLA team.<br>
© COFLA 2015. All rights reserved.

 

<strong>canteFAN Audio</strong>
DOI: 10.5517/ccdc.csd.cc1q4fgr
title: CCDC 1583184: Experimental Crystal Structure Determination

description: Related Article: Alaa A. Hassan, Nasr K. Mohamed, Ashraf A. Aly, Hendawy N. Tawfeek, Stefan Bräse, Martin Nieger|2019|J.Mol.Struct.|1176|346|doi:10.1016/j.molstruc.2018.08.106
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.cc1q4fhs
title: CCDC 1583185: Experimental Crystal Structure Determination

description: Related Article: Alaa A. Hassan, Nasr K. Mohamed, Ashraf A. Aly, Hendawy N. Tawfeek, Stefan Bräse, Martin Nieger|2019|J.Mol.Struct.|1176|346|doi:10.1016/j.molstruc.2018.08.106
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.cc1z1lyk
title: CCDC 1818799: Experimental Crystal Structure Determination

description: Related Article: Rayyat Huseyn Ismayilov, Fuad Famil Valiyev, Dilgam Babir Tagiyev, You Song, Nizami Vali Israfilov, Wen-Zhen Wang, Gene-Hsiang Lee, Shie-Ming Peng, Baghir A. Suleimanov|2018|Inorg.Chim.Acta|483|386|doi:10.1016/j.ica.2018.08.045
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.