cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/0kbv-zs06
title: HVAC Air Handling Units One-year Data of Medium Sized Academic Building

description: The dataset contains measurements taken from four air handling units (AHU) installed in a medium-to-large size academic building. The building is a 7-story, 9000sqm facility commissioned in 2016 hosting the PRECIS research center. It contains multiple research laboratories, multifunction spaces, meeting rooms, and a large auditorium as well as administrative offices. It is located at 44°2606.0N and 26°0244.0E in a temperate continental climate with hot summers and cold winters. Cooling is handled using on-site electric chillers while heating is provided from a district heating network. For monitoring and control of the various building subsystems, a commercial Building Management System (BMS) software solution from Honeywell is implemented on a central server and used by the facility management staff.We hope the dataset is useful to researchers in building energy efficiency and user comfort in order to develop algorithms that infer and predict control actions, faults, occupancy and usage patterns.A pre-processing and statistical learning approach on this data is presented and can be referenced below:Grigore Stamatescu, Iulia Stamatescu, Nicoleta Arghira, and Ioana Fagarasan, “Data-Driven Modelling of Smart Building Ventilation Subsystem,”Journal of Sensors, vol. 2019, Article ID 3572019, 14 pages, 2019.https://doi.org/10.1155/2019/3572019.
DOI: 10.21227/1gjr-0780
title: HVAC Air Handling Units One-year Data of Medium Sized Academic Building

description: The dataset contains measurements taken from four air handling units (AHU) installed in a medium-to-large size academic building. The building is a 7-story, 9000sqm facility commissioned in 2016 hosting the PRECIS research center. It contains multiple research laboratories, multifunction spaces, meeting rooms, and a large auditorium as well as administrative offices. It is located at 44°2606.0N and 26°0244.0E in a temperate continental climate with hot summers and cold winters. Cooling is handled using on-site electric chillers while heating is provided from a district heating network. For monitoring and control of the various building subsystems, a commercial Building Management System (BMS) software solution from Honeywell is implemented on a central server and used by the facility management staff.We hope the dataset is useful to researchers in building energy efficiency and user comfort in order to develop algorithms that infer and predict control actions, faults, occupancy and usage patterns.A pre-processing and statistical learning approach on this data is presented and can be referenced below:Grigore Stamatescu, Iulia Stamatescu, Nicoleta Arghira, and Ioana Fagarasan, “Data-Driven Modelling of Smart Building Ventilation Subsystem,”Journal of Sensors, vol. 2019, Article ID 3572019, 14 pages, 2019.https://doi.org/10.1155/2019/3572019.
DOI: 10.25430/researchdata.cab.unipd.it.00000106
title: Dataset of paper: "Dogs (Canis familiaris) recognise our faces in photographs: implications for existing and future research"

description: Dogs are an ideal species to investigate phylogenetic and ontogenetic factors contributing to face recognition. Previous research has found that dogs can recognise their owner using visual information about the person’s face, presented live. However, a thorough investigation of face processing mechanisms requires the use of graphical representations and it currently remains unclear whether dogs can spontaneously recognise human faces in photographs. To test this, pet dogs (N = 36) were briefly separated from their owners and, to achieve reunion, they needed to select the location indicated by a photograph of their owner’s face, rather than that of an unfamiliar person concurrently presented. Photographs were taken under optimal and suboptimal (non-frontally oriented and unevenly illuminated faces) conditions. Results revealed that dogs approached their owner significantly above chance level, with no difference in the probability of choosing the owner between the optimal and suboptimal conditions. Only in the suboptimal condition did the amount of attention paid to the owner’s photograph affect dogs’ choices, with low attention associated with failures. The probability of approaching the owner was also affected by an interaction between the dog’s sex and condition, although no significant effect was detected in post-hoc comparisons. This study provides the first direct evidence that dogs can recognise human faces from photographs. The results imply that motion and three-dimensional information is not necessary for recognition. The results also support the ecological valence of such stimuli and increase the validity of previous investigations into dog cognition that used two-dimensional representations of faces.
DOI: 10.5517/ccdc.csd.cc1ysjhr
title: CCDC 1811035: Experimental Crystal Structure Determination

description: Related Article: Chao Liu, Xiao Jin, Lei-Jiao Li, Jun Xu, John E. McGrady, Zhong-Ming Sun|2019|Chemical Science|10|4394|doi:10.1039/C8SC03948H
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.cc1yt1ph
title: CCDC 1811537: Experimental Crystal Structure Determination

description: Related Article: Xiuli Zhao, Mengmeng Huang, Yabo Li, Jianye Zhang, Jung Keun Kim, Yangjie Wu|2019|Org.Chem.Front.|6|1433|doi:10.1039/C9QO00075E
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.cc200147
title: CCDC 1847077: Experimental Crystal Structure Determination

description: Related Article: Chao Liu, Xiao Jin, Lei-Jiao Li, Jun Xu, John E. McGrady, Zhong-Ming Sun|2019|Chemical Science|10|4394|doi:10.1039/C8SC03948H
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.cc200158
title: CCDC 1847078: Experimental Crystal Structure Determination

description: Related Article: Chao Liu, Xiao Jin, Lei-Jiao Li, Jun Xu, John E. McGrady, Zhong-Ming Sun|2019|Chemical Science|10|4394|doi:10.1039/C8SC03948H
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.cc20017b
title: CCDC 1847080: Experimental Crystal Structure Determination

description: Related Article: Chao Liu, Xiao Jin, Lei-Jiao Li, Jun Xu, John E. McGrady, Zhong-Ming Sun|2019|Chemical Science|10|4394|doi:10.1039/C8SC03948H
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.cc204czj
title: CCDC 1851257: Experimental Crystal Structure Determination

description: Related Article: Wen-Run Zhu, Zhen-Wei Zhang, Wei-Hua Huang, Ning Lin , Qing Chen, Kai-Bin Chen, Bi-Chuan Wang, Jiang Weng, Gui Lu|2019|Synthesis|51|1969|doi:10.1055/s-0037-1612089
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.cc204d0l
title: CCDC 1851258: Experimental Crystal Structure Determination

description: Related Article: Wen-Run Zhu, Zhen-Wei Zhang, Wei-Hua Huang, Ning Lin , Qing Chen, Kai-Bin Chen, Bi-Chuan Wang, Jiang Weng, Gui Lu|2019|Synthesis|51|1969|doi:10.1055/s-0037-1612089
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.cc20qk5h
title: CCDC 1868716: Experimental Crystal Structure Determination

description: Related Article: Sandeep Singh Dhankhar, Nayuesh Sharma, C. M. Nagaraja|2019|Inorg.Chem.Front.|6|1058|doi:10.1039/C9QI00044E
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.cc20qk6j
title: CCDC 1868717: Experimental Crystal Structure Determination

description: Related Article: Sandeep Singh Dhankhar, Nayuesh Sharma, C. M. Nagaraja|2019|Inorg.Chem.Front.|6|1058|doi:10.1039/C9QI00044E
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: 10.21227/jhb4-wb35
title: HVAC Air Handling Units: One-year Data from Medium-to-Large Size Academic Building

description: The dataset contains measurements taken from four air handling units (AHU) installed in a medium-to-large size academic building. The building is a 7-story, 9000sqm facility commissioned in 2016 hosting the PRECIS research center. It contains multiple research laboratories, multifunction spaces, meeting rooms, and a large auditorium as well as administrative offices. It is located at 44°2606.0N and 26°0244.0E in a temperate continental climate with hot summers and cold winters. Cooling is handled using on-site electric chillers while heating is provided from a district heating network. For monitoring and control of the various building subsystems, a commercial Building Management System (BMS) software solution from Honeywell is implemented on a central server and used by the facility management staff.We hope the dataset is useful to researchers in building energy efficiency and user comfort in order to develop algorithms that infer and predict control actions, faults, occupancy and usage patterns.A pre-processing and statistical learning approach on this data is presented and can be referenced below:Grigore Stamatescu, Iulia Stamatescu, Nicoleta Arghira, and Ioana Fagarasan, “Data-Driven Modelling of Smart Building Ventilation Subsystem,”Journal of Sensors, vol. 2019, Article ID 3572019, 14 pages, 2019.https://doi.org/10.1155/2019/3572019.
DOI: 10.5281/zenodo.2594666
title: Raw data: Supra-threshold perception and neural representation of tones presented in noise in conditions of masking release

description: Raw data of three experiments:

1) Exp1: Psychoacoustical masked thresholds of tone in noise masker (ASCII format)

2) Exp2: 64ch EEG data (Biosemi data format .bdf)

3) Exp3: Salience rating of a tone masked by various maskers and levels above masked threshold. (ASCII format)

Preprint with details on experiments submitted to BioRxiv:  https://doi.org/10.1101/575720
description: Preprint with details on experiments submitted to BioRxiv:  https://doi.org/10.1101/575720
DOI: 10.5281/zenodo.2594667
title: Raw data: Supra-threshold perception and neural representation of tones presented in noise in conditions of masking release

description: Raw data of three experiments:

1) Exp1: Psychoacoustical masked thresholds of tone in noise masker (ASCII format)

2) Exp2: 64ch EEG data (Biosemi data format .bdf)

3) Exp3: Salience rating of a tone masked by various maskers and levels above masked threshold. (ASCII format)

Preprint with details on experiments submitted to BioRxiv:  https://doi.org/10.1101/575720
description: Preprint with details on experiments submitted to BioRxiv:  https://doi.org/10.1101/575720
DOI: 10.5281/zenodo.2594756
title: Mutation Calls from the TCGA MC3 project (filtered)

description: The Cancer Genome Atlas (TCGA) cancer genomics dataset includes over 10,000 tumor-normal exome pairs across 33 different cancer types, in total &gt;400 TB of raw data files requiring analysis. Here we describe the Multi-Center Mutation Calling in Multiple Cancers project, our effort to generate a comprehensive encyclopedia of somatic mutation calls for the TCGA data to enable robust cross-tumor-type analyses. Our approach accounts for variance and batch effects introduced by the rapid advancement of DNA extraction, hybridization-capture, sequencing, and analysis methods over time. We present best practices for applying an ensemble of seven mutation-calling algorithms with scoring and artifact filtering. The dataset created by this analysis includes 3.5 million somatic variants and forms the basis for PanCan Atlas papers. The results have been made available to the research community along with the methods used to generate them.

This dataset was filtered for the 2018 PanCancer analysis, according to the methods specified in Bailey, Tokheim, Porta-Pardo et al, 2018 ( http://dx.doi.org/10.1016/j.cell.2018.02.060 )
DOI: 10.5281/zenodo.2594757
title: Mutation Calls from the TCGA MC3 project (filtered)

description: The Cancer Genome Atlas (TCGA) cancer genomics dataset includes over 10,000 tumor-normal exome pairs across 33 different cancer types, in total &gt;400 TB of raw data files requiring analysis. Here we describe the Multi-Center Mutation Calling in Multiple Cancers project, our effort to generate a comprehensive encyclopedia of somatic mutation calls for the TCGA data to enable robust cross-tumor-type analyses. Our approach accounts for variance and batch effects introduced by the rapid advancement of DNA extraction, hybridization-capture, sequencing, and analysis methods over time. We present best practices for applying an ensemble of seven mutation-calling algorithms with scoring and artifact filtering. The dataset created by this analysis includes 3.5 million somatic variants and forms the basis for PanCan Atlas papers. The results have been made available to the research community along with the methods used to generate them.

This dataset was filtered for the 2018 PanCancer analysis, according to the methods specified in Bailey, Tokheim, Porta-Pardo et al, 2018 ( http://dx.doi.org/10.1016/j.cell.2018.02.060 )
DOI: 10.5517/ccdc.csd.cc20s3pm
title: CCDC 1870220: Experimental Crystal Structure Determination

description: Related Article: Guoli Shen, Ruhima Khan, Haiping Lv, Yong Yang, Xia Zhang, Yong Zhan, Yongyun Zhou, Baomin Fan|2019|Org.Chem.Front.|6|1423|doi:10.1039/C9QO00041K
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.cc20v489
title: CCDC 1872160: Experimental Crystal Structure Determination

description: Related Article: Jiawang Zhou, Yilei Wu, Indranil Roy, Avik Samanta, J. Fraser Stoddart, Ryan M. Young, Michael R. Wasielewski|2019|Chemical Science|10|4282|doi:10.1039/C8SC05514A
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.cc20v49b
title: CCDC 1872161: Experimental Crystal Structure Determination

description: Related Article: Jiawang Zhou, Yilei Wu, Indranil Roy, Avik Samanta, J. Fraser Stoddart, Ryan M. Young, Michael R. Wasielewski|2019|Chemical Science|10|4282|doi:10.1039/C8SC05514A
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.cc20yp9z
title: CCDC 1875571: Experimental Crystal Structure Determination

description: Related Article: Irena Dokli, Radek Pohl, Blanka Klepetářová, Ullrich Jahn|2019|Chem.Commun.|55|3931|doi:10.1039/C9CC00945K
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.cc213f5s
title: CCDC 1880124: Experimental Crystal Structure Determination

description: Related Article: Andrea Guerrero-Corella, Juan Asenjo-Pascual, Tushar Janardan Pawar, Sergio Díaz-Tendero, Ana Martín-Sómer, Clarisa Villegas Gómez, José L. Belmonte-Vázquez, Diana E. Ramírez-Ornelas, Eduardo Peña-Cabrera, Alberto Fraile, David Cruz Cruz, José Alemán|2019|Chemical Science|10|4346|doi:10.1039/C9SC00959K
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.cc215f4t
title: CCDC 1882045: Experimental Crystal Structure Determination

description: Related Article: Xianghua Zeng, Lu Chen|2019|Org.Biomol.Chem.|17|3338|doi:10.1039/C9OB00524B
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.cc2164br
title: CCDC 1882733: Experimental Crystal Structure Determination

description: Related Article: Wen-Run Zhu, Zhen-Wei Zhang, Wei-Hua Huang, Ning Lin , Qing Chen, Kai-Bin Chen, Bi-Chuan Wang, Jiang Weng, Gui Lu|2019|Synthesis|51|1969|doi:10.1055/s-0037-1612089
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: 10.25345/c5jk70
title: MassIVE MSV000083579 - An integrated strategy for high-sensitive and multi-level glycoproteome analysis from low micrograms of protein samples
title: We describe here a simple and integrated spintip-based glycoproteomics technology,termed Glyco-SISPROT, for challenging the lowest starting material limitation and achieving a comprehensive view of glycoproteome with shortest sample processing time. By carefully integrating and optimizing SCX, C18 and Concanavalin A packing material and their combination in spintip format, both predigested peptides and protein lysates could be processed by Glyco-SISPROT with high efficiency. More importantly, deglycopeptide, intact glycopeptide and glycans released by multiple glycosidases could be readily collected from the same Glyco-SISPROT workflow for LC-MS analysis. In total, above 1850 glycosites in 1770 unique deglycopeptides were characterized from mouse liver by using either 100 macrograms of predigested peptides or directly using 100 macrograms of protein lysates, in which about 30 percentage of glycosites were released by both PNGase F and Endos. To the best of our knowledge, this approach should be one of the most comprehensive glycoproteomic approaches by using limited protein starting material. One significant benefit of Glyco-SISPROT was that whole processing time was dramatically reduced from a few days to only 6 hours with good reproducibility when protein lysates were directly processed by Glyco-SISPROT.
DOI: 10.5517/ccdc.csd.cc21790m
title: CCDC 1883839: Experimental Crystal Structure Determination

description: Related Article: Anna Widera, Hubert Wadepohl, Hans-Jörg Himmel|2019|Angew.Chem.,Int.Ed.|58|5897|doi:10.1002/anie.201814041
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.cc219r9f
title: CCDC 1886204: Experimental Crystal Structure Determination

description: Related Article: Bastian Rösch, Thomas Xaver Gentner, Holger Elsen, Christian A. Fischer, Jens Langer, Michael Wiesinger, Sjoerd Harder|2019|Angew.Chem.,Int.Ed.|58|5396|doi:10.1002/anie.201901548
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.cc219rbg
title: CCDC 1886205: Experimental Crystal Structure Determination

description: Related Article: Bastian Rösch, Thomas Xaver Gentner, Holger Elsen, Christian A. Fischer, Jens Langer, Michael Wiesinger, Sjoerd Harder|2019|Angew.Chem.,Int.Ed.|58|5396|doi:10.1002/anie.201901548
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.