cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2021-04.2199897/2155354
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199515/2155355
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2200359/2155356
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199384/2155357
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199429/2155358
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199798/2155359
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2198900/2155360
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199279/2155361
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199895/2155362
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2200357/2155363
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199430/2155364
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199541/2155365
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199814/2155366
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199080/2155367
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199173/2155368
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199079/2155369
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199439/2155370
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2200414/2155371
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199120/2155372
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2198750/2155373
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199151/2155374
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-03.2195125/2155375
title: Data for EMSL Project 51287 from March 2021
DOI: 10.25582/data.2021-04.2199880/2155376
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2200328/2155377
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2198978/2155378
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199812/2155379
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2200363/2155380
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199546/2155381
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199254/2155382
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-03.2191454/2155383
title: Data for EMSL Project 51287 from March 2021
DOI: 10.25582/data.2021-04.2198174/2155384
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199017/2155385
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199026/2155386
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-03.2195169/2155387
title: Data for EMSL Project 51287 from March 2021
DOI: 10.25582/data.2021-04.2199040/2155388
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199808/2155389
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199170/2155390
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199246/2155391
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199838/2155392
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2200399/2155393
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2199295/2155394
title: Data for EMSL Project 51287 from April 2021
DOI: 10.25582/data.2021-04.2198761/2155395
title: Data for EMSL Project 51287 from April 2021
DOI: 10.48505/nims.4252
title: Metamaterial Gallery

description: Nine metamaterial models
description: Materials & Design. 198 (2021)
DOI: 10.5517/ccdc.csd.cc1zrk9l
title: CCDC 1839890: Experimental Crystal Structure Determination

description: Related Article: Yingze Li, Jeanette A. Krause, Hairong Guan|2018|Organometallics|37|2147|doi:10.1021/acs.organomet.8b00273
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: 10.5258/soton/d0408
title: Dataset for Effects of heat treatment atmosphere on the structure and activity of Pt3Sn nanoparticle electrocatalysts: a characterisation case study

description: Data to support the paper:
Huang, H. et al (2018). Effects of heat treatment atmosphere on the structure and activity of Pt3Sn nanoparticle electrocatalysts: a characterisation case study. Faraday Discussions.
DOI: 10.5281/zenodo.1299780
title: Catch Eyou: Wp6 Textbook Analysis Sweden - Offshoot

description: The data was generated within the research project Constructing AcTive CitizensHip with European Youth: Policies, Practices, Challenges and Solutions (CATHC-EyoU) funded by European Union, Horizon 2020 Programme. 

The dataset provides the basis for an offshoot article from work package 6 (“Representations of EU and youth active EU citizenship in educational contexts”), published in Journal of Social Science Education (http://www.jsse.org/). Ten Swedish textbooks for social studies, are examined in terms of content, attention to conceptual understanding and analytical training.
DOI: 10.5517/ccdc.csd.cc1zfgmh
title: CCDC 1830197: Experimental Crystal Structure Determination

description: Related Article: David Schmiel, Robert Gathy, Holger Butenschön|2018|Organometallics|37|2095|doi:10.1021/acs.organomet.8b00243
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.cc1zfgnj
title: CCDC 1830198: Experimental Crystal Structure Determination

description: Related Article: David Schmiel, Robert Gathy, Holger Butenschön|2018|Organometallics|37|2095|doi:10.1021/acs.organomet.8b00243
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.cc1zfgpk
title: CCDC 1830199: Experimental Crystal Structure Determination

description: Related Article: David Schmiel, Robert Gathy, Holger Butenschön|2018|Organometallics|37|2095|doi:10.1021/acs.organomet.8b00243
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.cc1zs02v
title: CCDC 1840317: Experimental Crystal Structure Determination

description: Related Article: Sanam Movassaghi, Euphemia Leung, Muhammad Hanif, Betty Y. T. Lee, Hannah U. Holtkamp, Jason K. Y. Tu, Tilo Söhnel, Stephen M. F. Jamieson, Christian G. Hartinger|2018|Inorg.Chem.|57|8521|doi:10.1021/acs.inorgchem.8b01187
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.cc1zs4zw
title: CCDC 1840469: Experimental Crystal Structure Determination

description: Related Article: Andreas Reding, Peter G. Jones, Daniel B. Werz|2018|Angew.Chem.,Int.Ed.|57|10610|doi:10.1002/anie.201805399
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.cc1zs50y
title: CCDC 1840470: Experimental Crystal Structure Determination

description: Related Article: Andreas Reding, Peter G. Jones, Daniel B. Werz|2018|Angew.Chem.,Int.Ed.|57|10610|doi:10.1002/anie.201805399
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: 10.5523/bris.3era7kdsvgvur2nclshqy7u762
title: Mean Intrinsic Activity of Single Mn Sites at LaMnO3 Nanoparticles Towards the Oxygen Reduction Reaction

description: Project Title:
Electrochemical Oxidation of Low Molecular Weight Alkanes to Liquid Fuels at Molecular Interfaces

This project aims at developing nanoscale catalysts for the electrochemical oxidation methane to methanol at molecular interfaces. The project was supported by EPSRC (EP/K007025/1)
DOI: 10.5255/ukda-sn-853084
title: Local impacts of biofuel crop production and factors influencing ethanol stove adoption in southern Africa
DOI: 10.5281/zenodo.1290711
title: Mtg-Qbh: Query By Humming Dataset

description: This dataset includes 118 recordings of sung melodies. The recordings were made as part of the experiments on Query-by-Humming (QBH) reported in the following article:


J. Salamon, J. Serrà and E. Gómez, "Tonal Representations for Music Retrieval: From Version Identification to Query-by-Humming", International Journal of Multimedia Information Retrieval, special issue on Hybrid Music Information Retrieval, In Press (accepted Nov. 2012). 


The recordings were made by 17 different subjects, 9 female and 8 male, whose musical experience ranged from none at all to amateur musicians. Subjects were presented with a list of songs out of which they were asked to select the ones they knew and sing part of the melody. The subjects were aware that the recordings will be used as queries in an experiment on QBH. There was no restriction as to how much of the melody should be sung nor which part of the melody should be sung, and the subjects were allowed to sing the melody with or without lyrics. The subjects did not listen to the original songs before recording the queries, and the recordings were all sung a capella without any accompaniment nor reference tone. To simulate a realistic QBH scenario, all recordings were done using a basic laptop microphone and no post-processing was applied. The duration of the recordings ranges from 11 to 98 seconds, with an average recording length of 26.8 seconds. 

In addition to the query recordings, three meta-data files are included, one describing the queries and two describing the music collections against which the queries were tested in the experiments described in the aforementioned article. Whilst the query recordings are included in this dataset, audio files for the music collections listed in the meta-data files are NOT included in this dataset, as they are protected by copyright law. If you wish to reproduce the experiments reported in the aforementioned paper, it is up to you to obtain the original audio files of these songs.

All subjects have given their explicit approval for this dataset to be made public.

Please Acknowledge MTG-QBH in Academic Research

<strong>Using this dataset</strong>

When the MTG-QBH dataset is used for academic research, we would highly appreciate if scientific publications of works partly based on the MTG-QBH dataset cite the above publication.

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.

 

https://www.upf.edu/web/mtg/mtg-qbh
DOI: 10.5281/zenodo.1290712
title: Mtg-Qbh: Query By Humming Dataset

description: This dataset includes 118 recordings of sung melodies. The recordings were made as part of the experiments on Query-by-Humming (QBH) reported in the following article:


J. Salamon, J. Serrà and E. Gómez, "Tonal Representations for Music Retrieval: From Version Identification to Query-by-Humming", International Journal of Multimedia Information Retrieval, special issue on Hybrid Music Information Retrieval, In Press (accepted Nov. 2012). 


The recordings were made by 17 different subjects, 9 female and 8 male, whose musical experience ranged from none at all to amateur musicians. Subjects were presented with a list of songs out of which they were asked to select the ones they knew and sing part of the melody. The subjects were aware that the recordings will be used as queries in an experiment on QBH. There was no restriction as to how much of the melody should be sung nor which part of the melody should be sung, and the subjects were allowed to sing the melody with or without lyrics. The subjects did not listen to the original songs before recording the queries, and the recordings were all sung a capella without any accompaniment nor reference tone. To simulate a realistic QBH scenario, all recordings were done using a basic laptop microphone and no post-processing was applied. The duration of the recordings ranges from 11 to 98 seconds, with an average recording length of 26.8 seconds. 

In addition to the query recordings, three meta-data files are included, one describing the queries and two describing the music collections against which the queries were tested in the experiments described in the aforementioned article. Whilst the query recordings are included in this dataset, audio files for the music collections listed in the meta-data files are NOT included in this dataset, as they are protected by copyright law. If you wish to reproduce the experiments reported in the aforementioned paper, it is up to you to obtain the original audio files of these songs.

All subjects have given their explicit approval for this dataset to be made public.

Please Acknowledge MTG-QBH in Academic Research

<strong>Using this dataset</strong>

When the MTG-QBH dataset is used for academic research, we would highly appreciate if scientific publications of works partly based on the MTG-QBH dataset cite the above publication.

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.

 

https://www.upf.edu/web/mtg/mtg-qbh
DOI: 10.5281/zenodo.1299779
title: Catch Eyou: Wp6 Textbook Analysis Sweden - Offshoot

description: The data was generated within the research project Constructing AcTive CitizensHip with European Youth: Policies, Practices, Challenges and Solutions (CATHC-EyoU) funded by European Union, Horizon 2020 Programme. 

The dataset provides the basis for an offshoot article from work package 6 (“Representations of EU and youth active EU citizenship in educational contexts”), published in Journal of Social Science Education (http://www.jsse.org/). Ten Swedish textbooks for social studies, are examined in terms of content, attention to conceptual understanding and analytical training.
DOI: 10.5258/soton/d0566
title: Dataset for Inhibition of low-density lipoprotein receptor degradation with a cyclic peptide that disrupts the homodimerization of IDOL E3 ubiquitin ligase

description: Raw data supporting:
Leitch, E. et al (2018). Inhibition of low-density lipoprotein receptor degradation with a cyclic peptide that disrupts the homodimerization of IDOL E3 ubiquitin ligase. Chemical Science.
DOI: 10.5281/zenodo.1290738
title: Dreanss: Drum Event Annotations For Source Separation

description: The purpose of the annotations is to help develop research in source separation methods for polyphonic audio music mixtures containing drums.

We provide a dataset that contains annotations for 22 excerpts of songs taken from different multi-track audio datasets publicly available for research purposes. These multi-track excerpts range from several genres including Rock, Reggae, electronic, Indie and Metal. The excerpts have a duration of 10 seconds each in average. This annotations dataset is divided into four folders, each of which contains the annotations of a given audio source separation dataset.

The audio datasets that have been annotated are:


	
	bss_oracle : http://bass-db.gforge.inria.fr/bss_oracle/
	
	
	mass: https://www.web/mtg/audio-signal-separation
	
	
	sisec: http://sisec.wiki.irisa.fr/tiki-index.php?page=Professionally+produced+music+recordings
	


Please Acknowledge DREANSS in Academic Research

<strong>Using this dataset</strong>

When the DREANSS dataset is used for academic research, we would highly appreciate if scientific publications of works partly based on the DREANSS dataset cite the following publication:


Ricard Marxer, Jordi Janer, "Study of Regularizations and Constraints in NMF-Based Drums Monaural Separation", Proc. of the 7th Int. Conference on Digital Audio Effects (DAFx’13). Maynooth, Ireland, 2013.


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.

 

https://www.upf.edu/web/mtg/dreanss
DOI: 10.5281/zenodo.1290739
title: Dreanss: Drum Event Annotations For Source Separation

description: The purpose of the annotations is to help develop research in source separation methods for polyphonic audio music mixtures containing drums.

We provide a dataset that contains annotations for 22 excerpts of songs taken from different multi-track audio datasets publicly available for research purposes. These multi-track excerpts range from several genres including Rock, Reggae, electronic, Indie and Metal. The excerpts have a duration of 10 seconds each in average. This annotations dataset is divided into four folders, each of which contains the annotations of a given audio source separation dataset.

The audio datasets that have been annotated are:


	
	bss_oracle : http://bass-db.gforge.inria.fr/bss_oracle/
	
	
	mass: https://www.web/mtg/audio-signal-separation
	
	
	sisec: http://sisec.wiki.irisa.fr/tiki-index.php?page=Professionally+produced+music+recordings
	


Please Acknowledge DREANSS in Academic Research

<strong>Using this dataset</strong>

When the DREANSS dataset is used for academic research, we would highly appreciate if scientific publications of works partly based on the DREANSS dataset cite the following publication:


Ricard Marxer, Jordi Janer, "Study of Regularizations and Constraints in NMF-Based Drums Monaural Separation", Proc. of the 7th Int. Conference on Digital Audio Effects (DAFx’13). Maynooth, Ireland, 2013.


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.

 

https://www.upf.edu/web/mtg/dreanss
DOI: 10.5517/ccdc.csd.cc1zbf91
title: CCDC 1827273: Experimental Crystal Structure Determination

description: Related Article: Tiago F. C. Cruz, Patrícia S. Lopes, Laura C. J. Pereira, Luís F. Veiros, Pedro T. Gomes|2018|Inorg.Chem.|57|8146|doi:10.1021/acs.inorgchem.8b00568
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.cc1zbfb2
title: CCDC 1827274: Experimental Crystal Structure Determination

description: Related Article: Tiago F. C. Cruz, Patrícia S. Lopes, Laura C. J. Pereira, Luís F. Veiros, Pedro T. Gomes|2018|Inorg.Chem.|57|8146|doi:10.1021/acs.inorgchem.8b00568
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.1299109
title: Spin Relaxation Data And Related Scripts Of Patonb-96

description: Spin relaxation data and related scripts of PaTonB-96 used in Ollila et al. J. Phys. Chem. B <strong>DOI: </strong>10.1021/acs.jpcb.8b02250 and in Oeemig et al., NMR structure of the C-terminal domain of TonB protein from <em>Pseudomonas aeruginosa,</em> submitted<em>.</em>

The data is used in the GitHub repository https://github.com/ohsOllila/ProteinDynamics
DOI: 10.5281/zenodo.1299110
title: Spin Relaxation Data And Related Scripts Of Patonb-96

description: Spin relaxation data and related scripts of PaTonB-96 used in Ollila et al. J. Phys. Chem. B <strong>DOI: </strong>10.1021/acs.jpcb.8b02250 and in Oeemig et al., NMR structure of the C-terminal domain of TonB protein from <em>Pseudomonas aeruginosa,</em> submitted<em>.</em>

The data is used in the GitHub repository https://github.com/ohsOllila/ProteinDynamics
DOI: 10.5517/ccdc.csd.cc1zbfc3
title: CCDC 1827275: Experimental Crystal Structure Determination

description: Related Article: Tiago F. C. Cruz, Patrícia S. Lopes, Laura C. J. Pereira, Luís F. Veiros, Pedro T. Gomes|2018|Inorg.Chem.|57|8146|doi:10.1021/acs.inorgchem.8b00568
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.cc1zbfd4
title: CCDC 1827276: Experimental Crystal Structure Determination

description: Related Article: Tiago F. C. Cruz, Patrícia S. Lopes, Laura C. J. Pereira, Luís F. Veiros, Pedro T. Gomes|2018|Inorg.Chem.|57|8146|doi:10.1021/acs.inorgchem.8b00568
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.cc1zbff5
title: CCDC 1827277: Experimental Crystal Structure Determination

description: Related Article: Tiago F. C. Cruz, Patrícia S. Lopes, Laura C. J. Pereira, Luís F. Veiros, Pedro T. Gomes|2018|Inorg.Chem.|57|8146|doi:10.1021/acs.inorgchem.8b00568
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.