cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/yax7-8n87
title: MODALITY corpus - SPEAKER 03 - 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 03:
sex: man
native speaker: no
age: 27
The test material: SEQUENCE S2
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 03) 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.265 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/kpfn-hk94
title: MODALITY corpus - SPEAKER 03 - 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 03:
sex: man
native speaker: no
age: 27
The test material: COMMANDS C4
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 03) 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.265 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/nped-8814
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 336 mA. Sample 71.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 2,7 V and discharged to 10 mV by constant current 336 mA.  Sample 71.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 60 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.
DOI: 10.34808/vcr7-f609
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 392 mA. Sample 71.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 2,7 V and discharged to 10 mV by constant current 392 mA.  Sample 71.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 60 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.
DOI: 10.34808/26t6-4k90
title: MODALITY corpus - SPEAKER 03 - 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 03:
sex: man
native speaker: no
age: 27
The test material: COMMANDS C2
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 03) 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.265 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/b549-5v17
title: AeroSense Measurements: Wind Tunnel Ecole Centrale Lyon

description: Data from wind tunnel tests of Aerosesne measurement system installed on NACA 63418 aerfoil in the anechoic wind tunnel at the Ecole Centrale Lyon. 
A NACA 63418 wing profile with a chord of 12 cm and a span of 30 cm was placed between twoend-plates at the outlet of the open-jet wind tunnel of 0.4 m x 0.3 m.
Measurements were carried out for different wind speeds (from 12.5 m s−1 to 50 m s−1, Re = 1 × 10e5 to 6.5 × 10e5, M a = 0.04 to 0.22) and for different inflow turbulent intensity: 0% as a reference case and 8% to represent field measurements.
The Aerosense measurement system was tested for static angle of attacks from −4◦to 24◦.
The barometers of the Aerosense measurement system were compared with 20 pressure points measured at mid-span using a Kulite KMPS-1-64 pr essure scanner. The pressure scanner acquired pressure data from pin-holes via capillary tubes at a sampling frequency of 1.1 kHz.
The microphones of the Aerosense measurement system were compared with 12 Br ̈uel & Kjaer 4958 type microphones distributed along the chord, using the same pin-holes. The acquired fluctuating wall pressure signals were recorded at 51.2 kHz after calibration Measurement series:

 ms000: instrumented NACA63-418 without any external sensors
ms001: instrumented aerofoil with GRAS microphones
ms002: instrumented aerofoil with Aerosense microphones only
ms003: instrumented aerofoil with Aerosense absolute pressure sensors
ms004: instrumented aerofoil with Aerosense differential pressure sensors

For each measurement series, 119 measurement points (with minor exceptions):

TI: turbulence intensity grid. 0 means no grid (almost 0% turbulence intensity), 8 means a grid yielding a turbulence intensity of 8% (no spectrum provided though)
U0: wind speed in meter per second. 12.5 m s−1 yields: Re = 1.0×105, M a = 0.037, q0 = 100 Pa. 25 m s−1 yields: Re = 2.1 × 105, M a = 0.074, q0 = 390 Pa. 50 m s−1 yields: Re = 4.2 × 105, M a = 0.147, q0 = 1550 Pa
DP1 means sinusoidal dynamic pitching creating dynamic stall around α0 = 10◦, with amplitude of α1 = 20◦, with a frequency of fs = 1.989 Hz (k = 0.06 at 12.5 m s−1).
DP2 means sinusoidal pitching representing high shear flow around α0 = 10◦, with amplitude of α1 = 4◦, with a frequency of fs = 0.663 Hz at at 25 m s−1) (k = 0.01), with a frequency of fs = 1.326 Hz at at 50 m s−1) (k = 0.01)
SP means sand paper at the leading edge to simulate leading edge erosion.
DOI: 10.34808/gq12-wx33
title: AeroSense Measurements: Wind Tunnel EPFL

description: Data from wind tunnel tests of Aerosesne measurement system installed on NACA63418 at EPFL wind tunnel.
Wind tunnel experiments of fluid-structure interaction setup conducted in collaboration with Karen Mulleners head of the unsteady flow diagnostics laboratory at EPFL STI IGM UNFOLD MED 0 2426 (Batiment MED), Station 9, CH-1015 Lausanne. The setup is illustrated in Figure 6The Aerosense node is installed on a 3D printed NACA63418 airfoil section with a 16 cm chord length. The airfoil is mounted in the middle of a 160 cm aluminium beam with one end clamped to a ground mounted frame, and the other end being free. The structural excitations are introduced via a heaving cyclic motion by an eccentric mass at the tip of the aluminium beam. The aerodynamic loading are introduced by the wind inflow on the airfoil section at the outlet of the wind tunnel. A transverse crack is introduced 10 cm from the clamped end of the beam. In addition to the Aerosense node measuring aerodynamic pressure on 40 MEMS pressure sensors, five PCB accelerometers were also installed along the span of the beam to collect vibration data. Measurement series
228 datasets, each containing:• 38 pressure time series sampled at 100 Hz• 5 acceleration signals sampled at 2 kHz• Video recording• Streamwise motion capture (only for AoA = 8)
DOI: 10.34808/35n0-5195
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 56 mA. Sample 71.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 2,7 V and discharged to 10 mV by constant current 56 mA.  Sample 71.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 60 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.
DOI: 10.34808/8j6a-4858
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 280 mA. Sample 71.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 2,7 V and discharged to 10 mV by constant current 280 mA.  Sample 71.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 60 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.
DOI: 10.34808/smy4-qz14
title: MODALITY corpus - SPEAKER 03 - SEQUENCE S5

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 03:
sex: man
native speaker: no
age: 27
The test material: SEQUENCE S5
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 03) 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.265 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/hymd-c780
title: MODALITY corpus - SPEAKER 03 - 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 03:
sex: man
native speaker: no
age: 27
The test material: SEQUENCE S3
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 03) 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.265 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.