cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/5pq2-tr22
title: MODALITY corpus - SPEAKER 13 - COMMANDS C1

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 13:
sex: man
native speaker: no
age: 43
The test material: COMMANDS C1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 13) 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: 10.34808/66r2-fs65
title: Free-air anomaly grid on the Gulf of Gdańsk

description: We present an attempt to determine the accuracy of shipborne gravimetry for the needs of geoid determination. The shipborne gravity campaign, is the beginning of a series of gravimetry measurements in the Polish Exclusive Economy Zone. The campaign was conducted in the area where the accuracy of geoid determination is crucial for the safety of navigation on numerous intersecting ships' routes. The vicinity of the seashore, various depths, and short-lasting campaign enabled determination of the level of measurement accuracy that can be obtained depending on the conditions. Internal data consistency was estimated as well as an attempt to compute external accuracy. The data were compared with satellite data available for the region.We identified which of the differences are related to the influence of external factors.
DOI: 10.34808/8h5r-a403
title: Video DATA - Traffic generation modeling for discount shops - Chrobrego Street

description: The data includes video traffic data (vehicles, pedestrians, cyclists) registered at 75 Chrobrego street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of customers and vehicles, as well as commercial peak hours occurring in the analyzed object.
Collected data include:•    during the opening hours (6:00-22:00) the store was visited by 1749 customers;•    modal split: 50% car, 46% walk, 4% bike;•    the highest volume of customers entering the discount store was observed at 18:00-19:00;•    the highest volume of vehicles entering the parking area was observed at 15:00-16:00;•    the highest volume of pedestrians entering the parking area was observed at 17:00-18:00.This study is part of Engineer's Thesis: Traffic generation modeling for discount shops.
Localisation 
https://www.openstreetmap.org/?mlat=54.3901&mlon=18.6181#map=16/54.3901/18.6181
DOI: 10.34808/g88q-cd27
title: XRD for  molybdenum sulfide modified with nickel or platinum nanoparticles

description: The presented data showcases the results of XRD analysis conducted on molybdenum sulfide modified with nickel or platinum nanoparticles . The MoS2 was prepared on the TiO2 nanotube substrates via a facile hydrothermal method, followed by the deposition by magnetron sputtering of Ni or Pt nanoparticles on the MoS2 surface. Structural characterization confirmed the successful incorporation of Ni or Pt nanoparticles onto the MoS2 support. XRD were recorded using X-ray diffractometer (Philips X”Pert with detector X’Celerator Scientific).
DOI: 10.34808/n5gk-w567
title: Video DATA - Traffic generation modeling for discount shops - Czerska Street

description: The data includes video traffic data (vehicles, pedestrians, cyclists) registered at 71 Czerska street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of customers and vehicles, as well as commercial peak hours occurring in the analyzed object.
Collected data include:•    during the opening hours (6:00-22:00) the store was visited by 1535 customers;•    modal split: 59% car, 39% walk, 2% bike;•    the highest volume of customers entering the discount store was observed at 18:00-19:00;•    the highest volume of vehicles entering the parking area was observed at 19:00-20:00;•    the highest volume of pedestrians entering the parking area was observed at 18:00-19:00.This study is part of  Engineer's Thesis: Traffic generation modeling for discount shops
Localisation 
https://www.openstreetmap.org/?mlat=54.3005&mlon=18.6072#map=16/54.3005/18.6072
DOI: 10.34808/6c5p-r819
title: Gdansk 2020, Jagielonska street - video data - pedestrian, bicycles, vehicles

description: Gdansk 2020, Miszewskiego street - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at Jagielonska street. Date 11.08.2020, 6:00-20:00. The video camera was installed around bicycle crossings and pedestrian crossings at Jagielonska - Chlopska - Czerwony Dwor crossing. Camera was mounted on 7-meter-high mast.
GPS coordinates: 54.412457, 18.588470
This study is part of master thesis: Conflicts research in relationships vehicle - pedestrian and vehicle - a bicycle on selected crossings in Gdansk.
DOI: 10.34808/tax2-re37
title: MODALITY corpus - SPEAKER 25 - COMMANDS C1

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 25:
sex: man
native speaker: yes
age: 58
The test material: COMMANDS C1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 25) 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/d2fg-zn72
title: SEM images of cross sections of porous Sr0.86Ti0.65Fe0.35O3 oxygen electrodes  sintered at different temperatures

description: This dataset contains cross sectional images of the porous Sr0.86Ti0.65Fe0.35O3 oxygen electrodes symmetric cells samples interface. Here are presented images of electrodes sintered at 950 °C, 1000 °C and 1050 °C. Images were obtained using a FEI Quanta FEG 250 Scanning Electron Microscope (SEM) with an accelerating voltage of 10 kV in a high vacuum mode.
DOI: 10.34808/q1jt-2z88
title: MODALITY corpus - SPEAKER 19 - COMMANDS C1

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 19:
sex: man
native speaker: no
age: 32
The test material: COMMANDS C1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 19) 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/xt5m-z260
title: MODALITY corpus - SPEAKER 13 - SEQUENCE S1

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 13:
sex: man
native speaker: no
age: 43
The test material: SEQUENCE S1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 13) 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/bwt3-0h42
title: Video DATA - Traffic generation modeling for discount shops - Gdanska Street

description: The data includes video traffic data (vehicles, pedestrians, cyclists) registered at 21C Gdanska street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of customers and vehicles, as well as commercial peak hours occurring in the analyzed object.
Collected data include:•    during the opening hours (6:00-22:00) the store was visited by 1615 customers;•    modal split: 52% car, 43% walk, 5% bike;•    the highest volume of customers entering the discount store was observed at 11:00-12:00;•    the highest volume of vehicles entering the parking area was observed at 7:00-8:00;•    the highest volume of pedestrians entering the parking area was observed at 11:00-12:00.This study is part of  Engineer's Thesis: Traffic generation modeling for discount shops.
Localisation
https://www.openstreetmap.org/?mlat=54.4031&mlon=18.6334#map=16/54.4031/18.6334
DOI: 10.34808/ywx3-7v04
title: Video DATA - Traffic generation modeling for discount shops - Dragana Street

description: The data includes video traffic data (vehicles, pedestrians, cyclists) registered at 27 Dragana street in Gdansk. The data covers the day 01.10.2020 at 6:00-22:00. The video camera was installed at the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split, the number of customers and vehicles, as well as commercial peak hours occurring in the analyzed object.
Collected data include:•    during the opening hours (6:00-22:00) the store was visited by 1687 customers;•    modal split: 52% walk, 46% car, 2% bike;•    the highest volume of customers entering the discount store was observed at 17:00-18:00;•    the highest volume of vehicles entering the parking area was observed at 17:00-18:00;•    the highest volume of pedestrians entering the parking area was observed at 12:00-13:00.This study is part of  Engineer's Thesis: Traffic generation modeling for discount shops.
Localisation 
https://www.openstreetmap.org/?mlat=54.33960&mlon=18.61715#map=17/54.33960/18.61715
DOI: 10.34808/d6e2-2b81
title: MODALITY corpus - SPEAKER 22 - COMMANDS C1

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 22:
sex: man
native speaker: yes
age: 51
The test material: COMMANDS C1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 22) 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/yqxs-pn55
title: MODALITY corpus - SPEAKER 26 - SEQUENCE S1

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 26:
sex: man
native speaker: yes
age: 46
The test material: SEQUENCE S1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 26) 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.