cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1237706
title: Tut Sound Events 2018 - Ambisonic, Reverberant And Synthetic Impulse Response Dataset

description: <strong>Tampere University of Technology (TUT) Sound Events 2018 - Ambisonic, Reverberant and Synthetic Impulse Response Dataset</strong>

This dataset consists of simulated reverberant first order Ambisonic (FOA) format recordings with stationary point sources each associated with a spatial coordinate. The dataset consists of three sub-datasets with a) maximum one temporally overlapping sound events, b) maximum two temporally overlapping sound events, and c) maximum three temporally overlapping sound events. Each of the sub-datasets has three cross-validation splits, that consists of 240 recordings of about 30 seconds long for training split and 60 recordings of the same length for the testing split. For each recording, the metadata file with the same name consists of the sound event name, the temporal onset and offset time (in seconds), spatial location in azimuth and elevation angles (in degrees), and distance from the microphone (in meters). The sound events are spatially placed within a room using the image source method. The room size chosen was 10x8x4 meter with reverberation time per octave band of [1.0, 0.8, 0.7, 0.6, 0.5, 0.4] s and 125 Hz–4 kHz band center frequencies.

The isolated sound events were taken from the DCASE 2016 task 2 dataset. This dataset consists of 11 sound event classes such as Clearing throat, Coughing, Door knock, Door slam, Drawer, Human laughter, Keyboard, Keys (put on a table), Page turning, Phone ringing and Speech. The sound events are randomly placed in a spatial grid with 10-degree resolution in full azimuth and [-60 60) degree elevation angles. Additionally, the sound events are placed at a random distance of at least 1 meter away from the microphone.

The license of the dataset can be found in the LICENSE file. The rest of the nine zip files consists of datasets for a given split and overlap. For example, the ov3_split1.zip file consists of the audio and metadata folders for the case of maximum three temporally overlapping sound events (ov3) and the first cross-validation split (split1). Within each audio/metadata folder, the filenames for training split have the 'train' prefix, while the testing split filenames have the 'test' prefix.

This dataset was collected as part of the 'Sound event localization and detection of overlapping sources using convolutional recurrent neural network' work.
DOI: 10.5517/ccdc.csd.cc1zwz72
title: CCDC 1844135: Experimental Crystal Structure Determination

description: Related Article: Gregory L. Beutner, Ian S. Young, Merrill L. Davies, Matthew R. Hickey, Hyunsoo Park, Jason M. Stevens, Qingmei Ye|2018|Org.Lett.|20|4218|doi:10.1021/acs.orglett.8b01591
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.cc1zx7lq
title: CCDC 1844394: Experimental Crystal Structure Determination

description: Related Article: Toyotaka Nakae, Masakazu Hirotsu, Hiroshi Nakajima|2018|Inorg.Chem.|57|8615|doi:10.1021/acs.inorgchem.8b01407
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.cc1zx7mr
title: CCDC 1844395: Experimental Crystal Structure Determination

description: Related Article: Toyotaka Nakae, Masakazu Hirotsu, Hiroshi Nakajima|2018|Inorg.Chem.|57|8615|doi:10.1021/acs.inorgchem.8b01407
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: 10.13145/bacdive765.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive766.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive767.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive768.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.1237707
title: Tut Sound Events 2018 - Ambisonic, Reverberant And Synthetic Impulse Response Dataset

description: <strong>Tampere University of Technology (TUT) Sound Events 2018 - Ambisonic, Reverberant and Synthetic Impulse Response Dataset</strong>

This dataset consists of simulated reverberant first order Ambisonic (FOA) format recordings with stationary point sources each associated with a spatial coordinate. The dataset consists of three sub-datasets with a) maximum one temporally overlapping sound events, b) maximum two temporally overlapping sound events, and c) maximum three temporally overlapping sound events. Each of the sub-datasets has three cross-validation splits, that consists of 240 recordings of about 30 seconds long for training split and 60 recordings of the same length for the testing split. For each recording, the metadata file with the same name consists of the sound event name, the temporal onset and offset time (in seconds), spatial location in azimuth and elevation angles (in degrees), and distance from the microphone (in meters). The sound events are spatially placed within a room using the image source method. The room size chosen was 10x8x4 meter with reverberation time per octave band of [1.0, 0.8, 0.7, 0.6, 0.5, 0.4] s and 125 Hz–4 kHz band center frequencies.

The isolated sound events were taken from the DCASE 2016 task 2 dataset. This dataset consists of 11 sound event classes such as Clearing throat, Coughing, Door knock, Door slam, Drawer, Human laughter, Keyboard, Keys (put on a table), Page turning, Phone ringing and Speech. The sound events are randomly placed in a spatial grid with 10-degree resolution in full azimuth and [-60 60) degree elevation angles. Additionally, the sound events are placed at a random distance of at least 1 meter away from the microphone.

The license of the dataset can be found in the LICENSE file. The rest of the nine zip files consists of datasets for a given split and overlap. For example, the ov3_split1.zip file consists of the audio and metadata folders for the case of maximum three temporally overlapping sound events (ov3) and the first cross-validation split (split1). Within each audio/metadata folder, the filenames for training split have the 'train' prefix, while the testing split filenames have the 'test' prefix.

This dataset was collected as part of the 'Sound event localization and detection of overlapping sources using convolutional recurrent neural network' work.
DOI: 10.5281/zenodo.1237751
title: Tut Sound Events 2018 - Circular Array, Anechoic And Synthetic Impulse Response Dataset

description: <strong>Tampere University of Technology (TUT) Sound Events 2018 - Circular array, Anechoic and Synthetic Impulse Response Dataset</strong>

This dataset consists of simulated anechoic circular-array format recordings with stationary point sources each associated with a spatial coordinate. The dataset consists of three sub-datasets with a) maximum one temporally overlapping sound events, b) maximum two temporally overlapping sound events, and c) maximum three temporally overlapping sound events. Each of the sub-datasets has three cross-validation splits, that consists of 240 recordings of about 30 seconds long for training split and 60 recordings of the same length for the testing split. For each recording, the metadata file with the same name consists of the sound event name, the temporal onset and offset time (in seconds), spatial location in azimuth and elevation angles (in degrees), and distance from the microphone (in meters).

The isolated sound events were taken from the DCASE 2016 task 2 dataset. This dataset consists of 11 sound event classes such as Clearing throat, Coughing, Door knock, Door slam, Drawer, Human laughter, Keyboard, Keys (put on a table), Page turning, Phone ringing and Speech. The sound events are randomly placed in a spatial grid with 10-degree resolution in full azimuth and [-60 60) degree elevation angles. Additionally, the sound events are placed at a random distance of [1 10] meters from the microphone.

The license of the dataset can be found in the LICENSE file. The rest of the nine zip files consists of datasets for a given split and overlap. For example, the ov3_split1.zip file consists of the audio and metadata folders for the case of maximum three temporally overlapping sound events (ov3) and the first cross-validation split (split1). Within each audio/metadata folder, the filenames for training split have the 'train' prefix, while the testing split filenames have the 'test' prefix.

This dataset was collected as part of the 'Sound event localization and detection of overlapping sources using convolutional recurrent neural network' work.
DOI: 10.5281/zenodo.1237752
title: Tut Sound Events 2018 - Circular Array, Anechoic And Synthetic Impulse Response Dataset

description: <strong>Tampere University of Technology (TUT) Sound Events 2018 - Circular array, Anechoic and Synthetic Impulse Response Dataset</strong>

This dataset consists of simulated anechoic circular-array format recordings with stationary point sources each associated with a spatial coordinate. The dataset consists of three sub-datasets with a) maximum one temporally overlapping sound events, b) maximum two temporally overlapping sound events, and c) maximum three temporally overlapping sound events. Each of the sub-datasets has three cross-validation splits, that consists of 240 recordings of about 30 seconds long for training split and 60 recordings of the same length for the testing split. For each recording, the metadata file with the same name consists of the sound event name, the temporal onset and offset time (in seconds), spatial location in azimuth and elevation angles (in degrees), and distance from the microphone (in meters).

The isolated sound events were taken from the DCASE 2016 task 2 dataset. This dataset consists of 11 sound event classes such as Clearing throat, Coughing, Door knock, Door slam, Drawer, Human laughter, Keyboard, Keys (put on a table), Page turning, Phone ringing and Speech. The sound events are randomly placed in a spatial grid with 10-degree resolution in full azimuth and [-60 60) degree elevation angles. Additionally, the sound events are placed at a random distance of [1 10] meters from the microphone.

The license of the dataset can be found in the LICENSE file. The rest of the nine zip files consists of datasets for a given split and overlap. For example, the ov3_split1.zip file consists of the audio and metadata folders for the case of maximum three temporally overlapping sound events (ov3) and the first cross-validation split (split1). Within each audio/metadata folder, the filenames for training split have the 'train' prefix, while the testing split filenames have the 'test' prefix.

This dataset was collected as part of the 'Sound event localization and detection of overlapping sources using convolutional recurrent neural network' work.
DOI: 10.5517/ccdc.csd.cc1zd0ky
title: CCDC 1828800: Experimental Crystal Structure Determination

description: Related Article: Victor A. Brotsman, Nadezhda B. Tamm, Vitaliy Yu. Markov, Ilya N. Ioffe, Alexey A. Goryunkov, Erhard Kemnitz, Sergey I. Troyanov|2018|Inorg.Chem.|57|8325|doi:10.1021/acs.inorgchem.8b00976
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.cc1zd0lz
title: CCDC 1828801: Experimental Crystal Structure Determination

description: Related Article: Victor A. Brotsman, Nadezhda B. Tamm, Vitaliy Yu. Markov, Ilya N. Ioffe, Alexey A. Goryunkov, Erhard Kemnitz, Sergey I. Troyanov|2018|Inorg.Chem.|57|8325|doi:10.1021/acs.inorgchem.8b00976
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.cc1zr1h8
title: CCDC 1839400: Experimental Crystal Structure Determination

description: Related Article: Amédée Triadon, Guillaume Grelaud, Nicolas Richy, Olivier Mongin, Graeme J. Moxey, Isabelle M. Dixon, Xinwei Yang, Genmiao Wang, Adam Barlow, Joelle Rault-Berthelot, Marie P. Cifuentes, Mark G. Humphrey, Frédéric Paul|2018|Organometallics|37|2245|doi:10.1021/acs.organomet.8b00229
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.cc1zr1j9
title: CCDC 1839401: Experimental Crystal Structure Determination

description: Related Article: Amédée Triadon, Guillaume Grelaud, Nicolas Richy, Olivier Mongin, Graeme J. Moxey, Isabelle M. Dixon, Xinwei Yang, Genmiao Wang, Adam Barlow, Joelle Rault-Berthelot, Marie P. Cifuentes, Mark G. Humphrey, Frédéric Paul|2018|Organometallics|37|2245|doi:10.1021/acs.organomet.8b00229
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.cc1zx7ns
title: CCDC 1844396: Experimental Crystal Structure Determination

description: Related Article: Toyotaka Nakae, Masakazu Hirotsu, Hiroshi Nakajima|2018|Inorg.Chem.|57|8615|doi:10.1021/acs.inorgchem.8b01407
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.cc1zx7pt
title: CCDC 1844397: Experimental Crystal Structure Determination

description: Related Article: Toyotaka Nakae, Masakazu Hirotsu, Hiroshi Nakajima|2018|Inorg.Chem.|57|8615|doi:10.1021/acs.inorgchem.8b01407
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.cc1zybhr
title: CCDC 1845445: Experimental Crystal Structure Determination

description: Related Article: Andy Yen, Mark Lautens|2018|Org.Lett.|20|4323|doi:10.1021/acs.orglett.8b01772
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.cc1zybjs
title: CCDC 1845446: Experimental Crystal Structure Determination

description: Related Article: Andy Yen, Mark Lautens|2018|Org.Lett.|20|4323|doi:10.1021/acs.orglett.8b01772
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.cc1zybkt
title: CCDC 1845447: Experimental Crystal Structure Determination

description: Related Article: Andy Yen, Mark Lautens|2018|Org.Lett.|20|4323|doi:10.1021/acs.orglett.8b01772
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.cc1zyblv
title: CCDC 1845448: Experimental Crystal Structure Determination

description: Related Article: Dae-Shik Kim, Francis G. Fang, Hyeong-wook Choi, Hui Fang|2018|Org.Lett.|20|4295|doi:10.1021/acs.orglett.8b01715
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: 10.13145/bacdive769.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive770.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive771.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive772.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive773.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive774.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive775.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive776.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive777.20180622.3
title: Bacillus pumilus Meyer and Gottheil 1901

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.5281/zenodo.1237753
title: Tut Sound Events 2018 - Circular Array, Reverberant And Synthetic Impulse Response Dataset

description: <strong>Tampere University of Technology (TUT) Sound Events 2018 - Circular array, Reverberant and Synthetic Impulse Response Dataset</strong>

This dataset consists of simulated, reverberant, and circular-array format recordings with stationary point sources each associated with a spatial coordinate. The dataset consists of three sub-datasets with a) maximum one temporally overlapping sound events, b) maximum two temporally overlapping sound events, and c) maximum three temporally overlapping sound events. Each of the sub-datasets has three cross-validation splits, that consists of 240 recordings of about 30 seconds long for training split and 60 recordings of the same length for the testing split. For each recording, the metadata file with the same name consists of the sound event name, the temporal onset and offset time (in seconds), spatial location in azimuth and elevation angles (in degrees), and distance from the microphone (in meters). The sound events are spatially placed within a room using the image source method. The room size chosen was 10x8x4 meter with reverberation time per octave band of [1.0, 0.8, 0.7, 0.6, 0.5, 0.4] s and 125 Hz–4 kHz band center frequencies.

The isolated sound events were taken from the DCASE 2016 task 2 dataset. This dataset consists of 11 sound event classes such as Clearing throat, Coughing, Door knock, Door slam, Drawer, Human laughter, Keyboard, Keys (put on a table), Page turning, Phone ringing and Speech. The sound events are randomly placed in a spatial grid with 10-degree resolution in full azimuth and [-60 60) degree elevation angles. Additionally, the sound events are placed at a random distance of at least 1 meter away from the microphone.

The license of the dataset can be found in the LICENSE file. The rest of the nine zip files consists of datasets for a given split and overlap. For example, the ov3_split1.zip file consists of the audio and metadata folders for the case of maximum three temporally overlapping sound events (ov3) and the first cross-validation split (split1). Within each audio/metadata folder, the filenames for training split have the 'train' prefix, while the testing split filenames have the 'test' prefix.

This dataset was collected as part of the 'Sound event localization and detection of overlapping sources using convolutional recurrent neural network' work.