cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2547312
title: SINS database - Node 6 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["G. Dekkers, S. Lauwereins, B. Thoen, M. W. Adhana, H. Brouckxon, T. van Waterschoot, B. Vanrumste, M. Verhelst, and P. Karsmakers, \"The SINS database for detection of daily activities in a home environment using an acoustic sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5281/zenodo.2547313
title: SINS database - Node 6 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["G. Dekkers, S. Lauwereins, B. Thoen, M. W. Adhana, H. Brouckxon, T. van Waterschoot, B. Vanrumste, M. Verhelst, and P. Karsmakers, \"The SINS database for detection of daily activities in a home environment using an acoustic sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5281/zenodo.2555478
title: Binary black-hole simulation SXS:BBH:1433

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2547314
title: SINS database - Node 7 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["G. Dekkers, S. Lauwereins, B. Thoen, M. W. Adhana, H. Brouckxon, T. van Waterschoot, B. Vanrumste, M. Verhelst, and P. Karsmakers, \"The SINS database for detection of daily activities in a home environment using an acoustic sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5281/zenodo.2547315
title: SINS database - Node 7 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["G. Dekkers, S. Lauwereins, B. Thoen, M. W. Adhana, H. Brouckxon, T. van Waterschoot, B. Vanrumste, M. Verhelst, and P. Karsmakers, \"The SINS database for detection of daily activities in a home environment using an acoustic sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5281/zenodo.2547318
title: SINS database - Node 8 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["G. Dekkers, S. Lauwereins, B. Thoen, M. W. Adhana, H. Brouckxon, T. van Waterschoot, B. Vanrumste, M. Verhelst, and P. Karsmakers, \"The SINS database for detection of daily activities in a home environment using an acoustic sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5281/zenodo.2547319
title: SINS database - Node 8 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["G. Dekkers, S. Lauwereins, B. Thoen, M. W. Adhana, H. Brouckxon, T. van Waterschoot, B. Vanrumste, M. Verhelst, and P. Karsmakers, \"The SINS database for detection of daily activities in a home environment using an acoustic sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5281/zenodo.2555477
title: Binary black-hole simulation SXS:BBH:1433

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555482
title: Binary black-hole simulation SXS:BBH:1434

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555483
title: Binary black-hole simulation SXS:BBH:1434

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5517/ccdc.csd.cc20mx6s
title: CCDC 1866175: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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.cc20mx7t
title: CCDC 1866176: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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.cc20mx8v
title: CCDC 1866177: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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/yf6rhbn5c7.1
title: Data for: Equivalence and dissimilarity of ecosystem states

description: R script and functions for analysis of Lake Constance data, associated with Boit and Spencer, Equivalence and dissimilarity of ecosystem states
DOI: 10.5281/zenodo.2555073
title: Spark application traces of the run of 9 differents instance of BigDataBench applications

description: Spark application logs of the run of 9 different instances of BigDataBench applications. Each run was done with an input size in GB of 32, 64, 128 and with 4, 8, 16 executor respectively. There were 2 executors per node; so, it runs on 2, 4, and 8 nodes + a master node for  Hadoop services.

The input data were generated with the Data generator provided by BigDataBench using this procedure:

https://gitlab.inria.fr/mmercier/bebida/blob/master/experiments/generate_dataset/journal.md

List of the applications and their parameters:


	Grep:
	
		 parameter: "word"
	
	
	WordCount
	
		  no parameters
	
	
	Kmean:
	
		  parameter: "4 3" input size in GB: "32, 64, 128"
	
	


BigDataBench implementation can be downloaded here: http://prof.ict.ac.cn/download.html

It was run on Debian 8, with Spark 2.1.0, on top of Hadoop 2.7.1 with Yarn and HDFS, using openjdk-7-jre-headless.

All the details of the environment can be found here:

https://gitlab.inria.fr/mmercier/bebida/blob/master/environments/bebida-slave.yaml

The experiment in itself is described here:

https://gitlab.inria.fr/mmercier/bebida/tree/master/experiments/run_big_data_workload

All nodes Hardware description of the nodes:

https://public-api.grid5000.fr/stable/sites/nancy/clusters/graphene/nodes.json?pretty=1

They can be visualized using the Spark History server.
DOI: 10.5281/zenodo.2555074
title: Spark application traces of the run of 9 differents instance of BigDataBench applications

description: Spark application logs of the run of 9 different instances of BigDataBench applications. Each run was done with an input size in GB of 32, 64, 128 and with 4, 8, 16 executor respectively. There were 2 executors per node; so, it runs on 2, 4, and 8 nodes + a master node for  Hadoop services.

The input data were generated with the Data generator provided by BigDataBench using this procedure:

https://gitlab.inria.fr/mmercier/bebida/blob/master/experiments/generate_dataset/journal.md

List of the applications and their parameters:


	Grep:
	
		 parameter: "word"
	
	
	WordCount
	
		  no parameters
	
	
	Kmean:
	
		  parameter: "4 3" input size in GB: "32, 64, 128"
	
	


BigDataBench implementation can be downloaded here: http://prof.ict.ac.cn/download.html

It was run on Debian 8, with Spark 2.1.0, on top of Hadoop 2.7.1 with Yarn and HDFS, using openjdk-7-jre-headless.

All the details of the environment can be found here:

https://gitlab.inria.fr/mmercier/bebida/blob/master/environments/bebida-slave.yaml

The experiment in itself is described here:

https://gitlab.inria.fr/mmercier/bebida/tree/master/experiments/run_big_data_workload

All nodes Hardware description of the nodes:

https://public-api.grid5000.fr/stable/sites/nancy/clusters/graphene/nodes.json?pretty=1

They can be visualized using the Spark History server.
DOI: 10.5517/ccdc.csd.cc20mx9w
title: CCDC 1866178: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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.cc20mxbx
title: CCDC 1866179: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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.cc20mxcy
title: CCDC 1866180: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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.cc20n3ng
title: CCDC 1866375: Experimental Crystal Structure Determination

description: Related Article: Ning Xu, Qinghua Zhang, Guoan Zhang|2019|Dalton Trans.|48|2683|doi:10.1039/C8DT04558E
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.cc20nkmw
title: CCDC 1866808: Experimental Crystal Structure Determination

description: Related Article: Ruslan Shekurov, Vera Khrizanforova, Leysan Gilmanova, Mikhail Khrizanforov, Vasily Miluykov, Olga Kataeva, Zilya Yamaleeva, Timur Burganov, Tatiana Gerasimova, Airat Khamatgalimov, Sergey Katsyuba, Valeri Kovalenko, Yulia Krupskaya, Vladislav Kataev, Bernd Büchner, Volodymyr Bon, Irena Senkovska, Stefan Kaskel, Aidar Gubaidullin, Oleg Sinyashin, Yulia Budnikova|2019|Dalton Trans.|48|3601|doi:10.1039/C8DT04618B
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.cc20nzf3
title: CCDC 1867205: Experimental Crystal Structure Determination

description: Related Article: Thomas Fellowes, Jonathan M. White|2019|CrystEngComm|21|1539|doi:10.1039/C8CE01853G
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.cc20nzg4
title: CCDC 1867206: Experimental Crystal Structure Determination

description: Related Article: Thomas Fellowes, Jonathan M. White|2019|CrystEngComm|21|1539|doi:10.1039/C8CE01853G
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.cc20nzh5
title: CCDC 1867207: Experimental Crystal Structure Determination

description: Related Article: Thomas Fellowes, Jonathan M. White|2019|CrystEngComm|21|1539|doi:10.1039/C8CE01853G
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.cc20nzj6
title: CCDC 1867208: Experimental Crystal Structure Determination

description: Related Article: Thomas Fellowes, Jonathan M. White|2019|CrystEngComm|21|1539|doi:10.1039/C8CE01853G
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/jvrgch6yw9.1
title: Data for: The In vitro antithrombotic properties of ale, lager, and stout beers

description: antithrombotic properties
DOI: 10.5281/zenodo.2554562
title: Data for: Two-Sided Matching for mentor-mentee allocations - Algorithms and manipulation strategies

description: These are the data files for the PLOS ONE journal article "Two-Sided Matching for mentor-mentee allocations - Algorithms and manipulation strategies".

Three files are provided:

- Data.xlsx: An overview of the original preferences of mentors and mentee, a data dictionary, and two summary tables used to create figures in the manuscript

- MatchingTables.csv: The outcome matching tables for each simulated scenario and repetition

- Preferences.csv: The (un)manipulated preferences that were used as input to calculate the solution for each simulated scenario and repetition.
DOI: 10.5517/ccdc.csd.cc20nzk7
title: CCDC 1867209: Experimental Crystal Structure Determination

description: Related Article: Thomas Fellowes, Jonathan M. White|2019|CrystEngComm|21|1539|doi:10.1039/C8CE01853G
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.cc20nzl8
title: CCDC 1867210: Experimental Crystal Structure Determination

description: Related Article: Thomas Fellowes, Jonathan M. White|2019|CrystEngComm|21|1539|doi:10.1039/C8CE01853G
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.cc20nzm9
title: CCDC 1867211: Experimental Crystal Structure Determination

description: Related Article: Thomas Fellowes, Jonathan M. White|2019|CrystEngComm|21|1539|doi:10.1039/C8CE01853G
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.