cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/65ac-jq44
title: Luminescence properties of TeOx-Tb thin films annealing under an oxidizing atmosphere

description: The DataSet contains the emission and excitation spectra of TeOx-Tb thin films. The material was obtained by the sol-gel method.  The starting solution was prepared by mixing telluric acid (precursor) with thetraetylene glycol, water, and ethanol. Next, the 5% mol of terbium ions were added, the nitrates were used as a source of rare-earth ions. The sol was obtained by vigorously stirring precursor solution at 50°C for 2h, then the temperature was raised to 75°C for the next 2h.  Next, the sol was used to prepared thin films by a spin coating method. The corning glass with 8 nm alumina oxide was used as a substrate.  After deposition, the thin films were dried at 200°C under an argon atmosphere, then were annealing at 400°C under oxidizing atmosphere. 
Luminescence emission and excitation spectra of gel were collected in a Horiba Yvon spectrofluorometer (Fluorolog 3).
DOI: 10.34808/fbbn-th67
title: Luminescence properties of TeOx thin films annealing under an oxidizing atmosphere

description: The DataSet contains the emission and excitation spectra of TeOx thin films. The material was obtained by the sol-gel method.  The starting solution was prepared by mixing telluric acid (precursor) with thetraetylene glycol, water, and ethanol.  The sol was obtained by vigorously stirring precursor solution at 50°C for 2h, then the temperature was raised to 75°C for the next 2h.  Next, the sol was used to prepared thin films by a spin coating method. The corning glass with 8 nm alumina oxide was used as a substrate.  After deposition, the thin films were dried at 200°C under an argon atmosphere, then were annealing at 400°C under oxidizing atmosphere.  
Luminescence emission and excitation spectra of gel were collected in a Horiba Yvon spectrofluorometer (Fluorolog 3).
DOI: 10.34808/1fa7-sy48
title: Luminescence properties of TeOx-Eu thin films annealing under an oxidizing atmosphere

description: The DataSet contains the emission and excitation spectra of TeOx-Eu thin films. The material was obtained by the sol-gel method.  The starting solution was prepared by mixing telluric acid (precursor) with thetraetylene glycol, water, and ethanol. Next, the 5% mol of europium ions were added, the nitrates were used as a source of rare-earth ions. The sol was obtained by vigorously stirring precursor solution at 50°C for 2h, then the temperature was raised to 75°C for the next 2h.  Next, the sol was used to prepared thin films by a spin coating method. The corning glass with 8 nm alumina oxide was used as a substrate.  After deposition, the thin films were dried at 200°C under an argon atmosphere, then were annealing at 400°C under oxidizing atmosphere. 
Luminescence emission and excitation spectra of gel were collected in a Horiba Yvon spectrofluorometer (Fluorolog 3).
DOI: 10.34808/a3mf-d998
title: Luminescence properties of TeOx-Eu thin films

description: The DataSet contains the emission and excitation spectra of TeOx-Eu thin films. The material was obtained by the sol-gel method.  The starting solution was prepared by mixing telluric acid (precursor) with thetraetylene glycol, water, and ethanol. Next, the 5% mol of europium ions were added, the nitrates were used as a source of rare-earth ions. The sol was obtained by vigorously stirring precursor solution at 50°C for 2h, then the temperature was raised to 75°C for the next 2h.  Next, the sol was used to prepared thin films by a spin coating method. The corning glass with 8 nm alumina oxide was used as a substrate.  After deposition, the thin films were dried at 200°C under an argon atmosphere.
Luminescence emission and excitation spectra of gel were collected in a Horiba Yvon spectrofluorometer (Fluorolog 3).
DOI: 10.34808/dy7q-h864
title: MODALITY corpus - SPEAKER 27 - COMMANDS C2

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 27:
sex: man
native speaker: yes
age: 60
The test material: COMMANDS C2
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 27) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.34808/g6y9-gj16
title: MODALITY corpus - SPEAKER 27 - SEQUENCE S2

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 27:
sex: man
native speaker: yes
age: 60
The test material: SEQUENCE S2
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 27) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.34808/7g1r-qk58
title: MODALITY corpus - SPEAKER 27 - SEQUENCE S3

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 27:
sex: man
native speaker: yes
age: 60
The test material: SEQUENCE S3
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 27) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.34808/ad09-1r44
title: MODALITY corpus - SPEAKER 27 - COMMANDS C3

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 27:
sex: man
native speaker: yes
age: 60
The test material: COMMANDS C3
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 27) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.34808/tfe4-kt33
title: MODALITY corpus - SPEAKER 27 - SEQUENCE S4

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 27:
sex: man
native speaker: yes
age: 60
The test material: SEQUENCE S4
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 27) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.34808/nxnb-6j73
title: MODALITY corpus - SPEAKER 27 - COMMANDS C4

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 27:
sex: man
native speaker: yes
age: 60
The test material: COMMANDS C4
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 27) Due to the size of the corpus (approx. 2.5 TB of data), every speaker’s recording was placed in a separate zip file of the size approx. 4-7 GB each.
The recordings were organized according to the speakers’ language skills. The group A (17 speakers) consists of native-speakers. Non-native speakers recordings (Polish nationals) were placed in the Group B (25 speakers).
The audio files use the Waveform Audio File Format (.wav), and contain a single PCM audio stream sampled at 44.1 kSa/s with 16-bit depth. The video files utilize the Matroska Multimedia Container Format (.mkv) in which a video stream in 1080p resolution, captured at 100 fps was placed after being compressed with h.264 codec (using High 4:4:4 profile). The ‘.lab’ files are text files containing the information on word positions in audio files, and follow the HTK label format. Each line of a ‘.lab’ file contains the actual label preceded by start and end times (in 100 ns units) e.g. : 1239620000 1244790000 FIVE which denotes the word “five”, occurring between the 123.962 s and 124.479 s of audio.Word-accurate SNR values calculated for every recording are also included in the ZIP file.
DOI: 10.25934/00005724.0
title: Available IPD datapackage for study 'A Mechanism of Action Study to Evaluate the Effects of IL-6 Receptor Blockade With Tocilizumab (TCZ) on Lipids, Arterial Stiffness, and Markers of Atherogenic Risk in Patients With Moderate to Severe Active Rheumatoid Arthritis (RA).'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005724.1
title: IPD datapackage for study 'A Mechanism of Action Study to Evaluate the Effects of IL-6 Receptor Blockade With Tocilizumab (TCZ) on Lipids, Arterial Stiffness, and Markers of Atherogenic Risk in Patients With Moderate to Severe Active Rheumatoid Arthritis (RA).' and research request: 'Predicting the Treatment Response of Biologics for Individual Patients with Rheumatoid Arthritis: An Individual Participant Data Meta-Analysis '

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.17632/zgdx5xjp65.1
title: LINF_150020300

description: E2-like ubiquitin-conjugation enzyme | UFC1 Leishmania infantum (strain JPCM5)
DOI: 10.17632/v2vffcnhzg.1
title: Foodoil_TVP

description: Replication files for paper "The Interplay between Oil and Food Commodity Prices: Has It Changed over Time?", by Gert Peersman, Sebastian Rüth and Wouter Van der Veken
DOI: 10.17632/vfwn8khn2j.1
title: LINF_150020100

description: nucleoside transporter 1 | NT1A Leishmania infantum (strain JPCM5)
DOI: 10.17632/nyms2b6g5w.1
title: LINF_150020000

description: nucleoside transporter 1 | NT1A Leishmania infantum (strain JPCM5)
DOI: 10.17632/8nmhx6c8r2.1
title: Symmetry 1283574

description: Upper Limb Activity Time and Intensity of Workers employed at Metalworking Industry
DOI: 10.17632/hn3nv7wxpk.3
title: Code for audio-video parameter extraction and statistical tests related to mosquito response to opposite-sex sound-stimuli

description: Mosquito sound and flight-position synchronization / postprocessing / parameter-extraction codes (Matlab); Statistics data and analysis files with figure plot (R)
DOI: 10.17632/rmxg4xvc82.1
title: LINF_150020500

description: KREPB7 Leishmania infantum (strain JPCM5)