cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1z9dg4
title: CCDC 1826286: Experimental Crystal Structure Determination

description: Related Article: M. Angeles Alvarez, M. Esther García, Daniel García-Vivó, Estefanía Huergo, Miguel A. Ruiz|2018|Organometallics|37|3425|doi:10.1021/acs.organomet.8b00129
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.cc1z9dh5
title: CCDC 1826287: Experimental Crystal Structure Determination

description: Related Article: M. Angeles Alvarez, M. Esther García, Daniel García-Vivó, Estefanía Huergo, Miguel A. Ruiz|2018|Organometallics|37|3425|doi:10.1021/acs.organomet.8b00129
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.cc1zbxs0
title: CCDC 1827753: Experimental Crystal Structure Determination

description: Related Article: Sabrina Khoo, Yu-Liang Shan, Ming-Chung Yang, Yongxin Li, Ming-Der Su, Cheuk-Wai So|2018|Inorg.Chem.|57|5879|doi:10.1021/acs.inorgchem.8b00321
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.cc1zc28p
title: CCDC 1827892: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Sasha-Lee Dorfling, Eric C. Hosten|2018|Cryst.Growth Des.|18|3569|doi:10.1021/acs.cgd.8b00364
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: 10.5281/zenodo.1240502
title: A Series Of Pathological Macromolecular Crystallography Datasets With Twinning And Other Lattice Disorders - Part Ii

description: This entry is linked to a previous deposition with DOI : 10.5281/zenodo.54568 which is discussed in the same manuscript
DOI: 10.5281/zenodo.1240503
title: A Series Of Pathological Macromolecular Crystallography Datasets With Twinning And Other Lattice Disorders - Part Ii

description: This entry is linked to a previous deposition with DOI : 10.5281/zenodo.54568 which is discussed in the same manuscript
DOI: 10.5281/zenodo.1240484
title: Msd-I: Million Song Dataset With Images For Multimodal Genre Classification

description: The Million Song Dataset (https://labrosa.ee.columbia.edu/millionsong/) is a collection of metadata and precomputed audio features for 1 million songs. Along with this dataset, a dataset with annotations of 15 top-level genres with a single label per song was released. In our work, we combine the CD2c version of this genre datase (http://www.tagtraum.com/msd_genre_datasets.html) with a collection of album cover images. 

<br>
The final dataset contains 30,713 tracks from the MSD and their related album cover images, each annotated with a unique genre label among 15 classes. Based on an initial analysis on the images, we identified that this set of tracks is associated to 16,753 albums, yielding an average of 1.8 songs per album.

We randomly divide the dataset into three parts: 70% for training, 15% for validation, and 15% for test, with no artist and album overlap across these sets. This is crucial to avoid possible overfitting, as the classifier may learn to predict the artist instead of the genre. 

 

Content:

MSD-I dataset (mapping, metadata, annotations and links to images)<br>
Data splits and feature vectors for TISMIR single-label classification experiments 

These data can be used together with the Tartarus deep learning python module https://github.com/sergiooramas/tartarus.

 

Scientific References:

Please cite the following paper if using MSD-I dataset or Tartarus software.

Oramas, S., Barbieri, F., Nieto, O., and Serra, X (2018). Multimodal Deep Learning for Music Genre Classification, Transactions of the International Society for Music Information Retrieval, V(1).
DOI: 10.5281/zenodo.1240485
title: Msd-I: Million Song Dataset With Images For Multimodal Genre Classification

description: The Million Song Dataset (https://labrosa.ee.columbia.edu/millionsong/) is a collection of metadata and precomputed audio features for 1 million songs. Along with this dataset, a dataset with annotations of 15 top-level genres with a single label per song was released. In our work, we combine the CD2c version of this genre datase (http://www.tagtraum.com/msd_genre_datasets.html) with a collection of album cover images. 

<br>
The final dataset contains 30,713 tracks from the MSD and their related album cover images, each annotated with a unique genre label among 15 classes. Based on an initial analysis on the images, we identified that this set of tracks is associated to 16,753 albums, yielding an average of 1.8 songs per album.

We randomly divide the dataset into three parts: 70% for training, 15% for validation, and 15% for test, with no artist and album overlap across these sets. This is crucial to avoid possible overfitting, as the classifier may learn to predict the artist instead of the genre. 

 

Content:

MSD-I dataset (mapping, metadata, annotations and links to images)<br>
Data splits and feature vectors for TISMIR single-label classification experiments 

These data can be used together with the Tartarus deep learning python module https://github.com/sergiooramas/tartarus.

 

Scientific References:

Please cite the following paper if using MSD-I dataset or Tartarus software.

Oramas, S., Barbieri, F., Nieto, O., and Serra, X (2018). Multimodal Deep Learning for Music Genre Classification, Transactions of the International Society for Music Information Retrieval, V(1).
DOI: 10.5517/ccdc.csd.cc1zjk8b
title: CCDC 1833162: Experimental Crystal Structure Determination

description: Related Article: Peng Lin, Feilong Jiang, Mingyan Wu, Maochun Hong|2018|Inorg.Chem.Commun.|93|29|doi:10.1016/j.inoche.2018.04.031
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.cc1zjk9c
title: CCDC 1833163: Experimental Crystal Structure Determination

description: Related Article: Peng Lin, Feilong Jiang, Mingyan Wu, Maochun Hong|2018|Inorg.Chem.Commun.|93|29|doi:10.1016/j.inoche.2018.04.031
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.cc1zjkbd
title: CCDC 1833164: Experimental Crystal Structure Determination

description: Related Article: Peng Lin, Feilong Jiang, Mingyan Wu, Maochun Hong|2018|Inorg.Chem.Commun.|93|29|doi:10.1016/j.inoche.2018.04.031
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.cc1zkrdp
title: CCDC 1834313: Experimental Crystal Structure Determination

description: Related Article: Jishan Wu, Guangwu Li, Tullimilli Y. Gopalakrishna, Hoa Phan, Tun Seng Tun Seng Herng, Jun Ding|2018|Angew.Chem.,Int.Ed.|57|7166|doi:10.1002/anie.201803949
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.cc1zkrfq
title: CCDC 1834314: Experimental Crystal Structure Determination

description: Related Article: Jishan Wu, Guangwu Li, Tullimilli Y. Gopalakrishna, Hoa Phan, Tun Seng Tun Seng Herng, Jun Ding|2018|Angew.Chem.,Int.Ed.|57|7166|doi:10.1002/anie.201803949
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.cc1zkrgr
title: CCDC 1834315: Experimental Crystal Structure Determination

description: Related Article: Jishan Wu, Guangwu Li, Tullimilli Y. Gopalakrishna, Hoa Phan, Tun Seng Tun Seng Herng, Jun Ding|2018|Angew.Chem.,Int.Ed.|57|7166|doi:10.1002/anie.201803949
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.cc1zlm9h
title: CCDC 1835147: Experimental Crystal Structure Determination

description: Related Article: Tatsuki Ohashi, Seijiro Hosokawa|2018|Org.Lett.|20|3021|doi:10.1021/acs.orglett.8b01048
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.cc1zlmbj
title: CCDC 1835148: Experimental Crystal Structure Determination

description: Related Article: Tatsuki Ohashi, Seijiro Hosokawa|2018|Org.Lett.|20|3021|doi:10.1021/acs.orglett.8b01048
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.cc1zlmck
title: CCDC 1835149: Experimental Crystal Structure Determination

description: Related Article: Tatsuki Ohashi, Seijiro Hosokawa|2018|Org.Lett.|20|3021|doi:10.1021/acs.orglett.8b01048
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: 10.17632/kpg23pkvmz.1
title: Anolis heterodermus colour change data set

description: A dataset containing the measurements of RGB channels in male and female lizards through the day.
DOI: 10.1285/i20356609v11i1p235
title: Framing (De)Politicization in Deliberative Arenas
DOI: 10.1285/i20356609v11i1p252
title: Should Sleeping Dogs Be Woken? Conflict, Participation and Deliberative Arenas
DOI: 10.1285/i20356609v11i1p241
title: The deliberative Arenas in the Crisis of Democracy
DOI: 10.1285/i20356609v11i1p261
title: Democratic Deliberation, Social Movements and the Quest for Democratic Politics
DOI: 10.1285/i20356609v11i1p269
title: Concepts and Experiences: The Theoretical Pragmatism of Luigi Bobbio
DOI: 10.1285/i20356609v11i1p276
title: Local Democracy and Deliberative Arenas: Politics in the Garbage Can?
DOI: 10.1285/i20356609v11i1p280
title: Deliberative Design for Public Engagement in Decision-Making Processes
DOI: 10.1285/i20356609v11i1p291
title: Luigi Bobbio: A Mentor Between Fieldwork and Public Action
DOI: 10.1285/i20356609v11i1p298
title: Auyero J., M.F. Berti (2015), In Harms's Way, The Dunamics of Urban Violence, Priceton, NJ: Princeton University Press
DOI: 10.1285/i20356609v11i1p308
title: L.M. Salamon, S. Wojciech Sokilowski, and M.A. Haddock (2017), Explaining Civil Society Development. A Social Origins Approach, Baltimore: John Hopkins University Press
DOI: 10.4225/22/5aea675348c33
title: Summary metadata

description: A summary of information about each of the tokens in the collection.<br>
DOI: 10.17632/35tdj6cbd8.2
title: Uplift gratuity: Effects of an Opportune Gift and its Timing on Tipping Behavior

description: These are the raw data as a .csv file used in the manuscript "Uplift gratuity: Effects of an Opportune Gift and its Timing on Tipping Behavior" by Frederic Hilkenmeier, Sascha Hoffmann, and Grzegorz Derkowski. The study analyzes the timing of a small gift offered by waiters on tipping behavior, showing that customers generously reciprocate a gift by significantly increasing gratuity. Closer temporal proximity between gift and payment even doubles this effect, indicating that servers can substantially - and effortlessly - raise their tips just by manipulating the saliency of the reciprocity norm. Statistical Analysis: ANCOVA IV: Experimental Condition DV: Gratuity_percentage Covariate: Billsize
DOI: 10.3886/e102981v1
title: Texas Literature Anthologies 2001-2011

description: The
purpose of this study is to analyze the nine grade 8 literature anthologies (adopted
in Texas in 2001 and 2011) for cultural representativeness.

Research
Question: What are the trends in eighth-grade literature anthologies regarding
the inclusion and treatment of Hispanic-authored/themed selections? 

To
answer this question, analysis of Hispanic texts in the following areas was
necessary: 

a.      
percentage
of authors/texts

b.     
commonly
anthologized authors/texts

c.      
literature
genres 

d.     
placement/arrangement


e.      
editing<br>
description: other~~
description: The
sample for this study comprises the nine adopted grade 8 literature anthologies
in Texas for the 2001 and 2011 adoption cycles.
DOI: 10.5517/ccdc.csd.cc1zc2br
title: CCDC 1827894: Experimental Crystal Structure Determination

description: Related Article: Benita Barton, Sasha-Lee Dorfling, Eric C. Hosten|2018|Cryst.Growth Des.|18|3569|doi:10.1021/acs.cgd.8b00364
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: 10.17036/researchdata.aston.ac.uk.00000359
title: Data underpinning article "Single atom Cu(I) promoted mesoporous titanias for photocatalytic Methyl Orange depollution and H 2 production"
DOI: 10.17632/c8bxkrc4bj.1
title: Data for: A second-derivate fitting algorithm for the quantification of free hemoglobin in human plasma

description: This Microsoft Excel Sheet contains a Macro for the use with a standard absorption spectrophotometer. Recorded spectra can be entered into the file and are automatically evaluated with the second derivative fitting method describe in the submitted Article. Additionally, the formulas of Harboe and Kahn, which represent the current state of the art, are also implemented for comparison and easy of use.
DOI: 10.5281/zenodo.1196032
title: Research Data Supporting "Fractal-Like Hierarchical Organisation Of Bone Begins At The Nanoscale"

description: Raw research data supporting: N. Reznikov et al., Science 360, eaao2189 (2018). DOI: 10.1126/science.aao2189
DOI: 10.5281/zenodo.1196033
title: Research Data Supporting "Fractal-Like Hierarchical Organisation Of Bone Begins At The Nanoscale"

description: Raw research data supporting: N. Reznikov et al., Science 360, eaao2189 (2018). DOI: 10.1126/science.aao2189
DOI: 10.5517/ccdc.csd.cc1zqypb
title: CCDC 1839313: Experimental Crystal Structure Determination

description: Related Article: W. Ding, J. Li|2018|Acta Crystallogr.,Sect.E:Cryst.Commun.|74|772|doi:10.1107/S2056989018006308
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.cc1zrjgq
title: CCDC 1839864: Experimental Crystal Structure Determination

description: Related Article: R. Aarthi, A.A. Thiruvalluvar, C. Ramachandra Raja|2018|IUCrData|3|x180648|doi:10.1107/S241431461800648X
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.cc1zsfv1
title: CCDC 1840744: Experimental Crystal Structure Determination

description: Related Article: Mark E. Light and John E. Drake|2018|CSD Communication|||
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: 10.5281/zenodo.1240378
title: Ultrasonic Compressional-Wave Waveform Dataset In Siltstones, Carbonates And A Sandstone

description: These data are the compressional-wave waveform data obtained by Ba et al. (2012-2018) through ultrasonic experimental measurements on the three sets of rock samples, including twelve siltstone samples, thirteen carbonates, and one tight sandstone.

Details are given in the uploaded introduction document regarding the format of dataset.
DOI: 10.5517/ccdc.csd.cc1zsfw2
title: CCDC 1840745: Experimental Crystal Structure Determination

description: Related Article: Maciej Posel, Helen Stoeckli-Evans|2018|CSD Communication|||
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.cc1zsfx3
title: CCDC 1840746: Experimental Crystal Structure Determination

description: Related Article: Ekaterina M. Feklicheva, Eugene    V. Babaev, Victor    B. Rybakov|2018|CSD Communication|||
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.cc1zsg4c
title: CCDC 1840753: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Matthew McIldowie, Mark I. Ogden|2018|CSD Communication|||
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.cc1zsgdm
title: CCDC 1840761: Experimental Crystal Structure Determination

description: Related Article: Alan R. Kennedy  and Callum J. McHugh|2018|CSD Communication|||
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.cc1zsgfn
title: CCDC 1840762: Experimental Crystal Structure Determination

description: Related Article: Alan R. Kennedy and Callum J. McHugh|2018|CSD Communication|||
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.cc1zsgks
title: CCDC 1840766: Experimental Crystal Structure Determination

description: Related Article: Kazuhiro Moriwaki, Ryouichi Yoshida, Hamazaki  Ryosuke, Haruo Akashi|2012|Shiz.Kag.Kenk.Kenkyo Hokoku,Okayama Rika Daig.|38|15|
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.cc1zshcm
title: CCDC 1840791: Experimental Crystal Structure Determination

description: Related Article: Bin Zhang|2018|CSD Communication|||
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.cc1zshhr
title: CCDC 1840795: Experimental Crystal Structure Determination

description: Related Article: Chamila Manankandayalage, Daniel K. Unruh, Clemens Krempner|2018|CSD Communication|||
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.