cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/9p9f-7k90
title: MODALITY corpus - SPEAKER 35 - 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 35:
sex: woman
native speaker: yes
age: 43
The test material: SEQUENCE S5
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 35) 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/q45b-yb07
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 60 mA. Sample 103.

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 60 mA.  Sample 103. 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/qz7g-3t08
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 120 mA. Sample 103.

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 120 mA.  Sample 103. 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: 10.5517/ccdc.csd.cc2n05yt
title: CCDC 2443046: Experimental Crystal Structure Determination

description: Related Article: Morgane Delattre, Milena Wiegand, Qian Wang, Jieping Zhu|2026|Org.Lett.|||doi:10.1021/acs.orglett.6c00196
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: 10.34808/3bmg-tf36
title: MODALITY corpus - SPEAKER 35 - 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 35:
sex: woman
native speaker: yes
age: 43
The test material: SEQUENCE S3
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 35) 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/p3fd-9247
title: MODALITY corpus - SPEAKER 35 - SEQUENCE S6

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 35:
sex: woman
native speaker: yes
age: 43
The test material: SEQUENCE S6
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 35) 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: 10.5517/ccdc.csd.cc2n05zv
title: CCDC 2443047: Experimental Crystal Structure Determination

description: Related Article: Morgane Delattre, Milena Wiegand, Qian Wang, Jieping Zhu|2026|Org.Lett.|||doi:10.1021/acs.orglett.6c00196
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: 10.6084/m9.figshare.29100337
title: Current status of temporomandibular disorders education in U.S. predoctoral dental curricula: A nationwide survey

description: Studies have highlighted variability and deficiencies in temporomandibular disorders (TMD) predoctoral education, with limited student clinical exposure. However, no research has examined changes following CODA inclusion of TMD instruction in predoctoral curricula. We investigated current scope, instructional modalities, and extent of TMD curricula in U.S. predoctoral dental programs. A 17-item REDCap<sup>TM</sup> survey was distributed in September–October 2024 to deans/associate deans of academic affairs at 72 CODA-accredited U.S. predoctoral dental schools, investigating TMD curricula, modalities, and extent. All 33 responding programs (53.2% response rate) included TMD instruction. Formal teaching accounted for 70.6±24.9% of instruction, while patient exposure constituted 22.5±21.0%. Programs dedicated 15.7±7.1 h on average (range 4–34) to TMD instruction . About 25.0% of programs had no board-certified orofacial pain (OFP) specialist on faculty. Instruction was mostly provided by OFP (75.8%), oral medicine specialists (36.4%), prosthodontists (30.3%), and oral surgeons (27.3%). Most programs (87.9%) treated TMD patients, yet 9.1% reported no student clinical exposure to these patients. In programs offering clinical exposure, patient interactions included direct evaluation and treatment (60.6%), rotations in OFP clinics (42.4%), observation (36.4%), or elective courses (3.0%). Management of OFP patients expanded to neuropathic pain (54.5%) and primary headache (33.3%), especially among programs with OFP specialists on faculty. TMD instruction varies widely across responding programs, but recent curricula have expanded instructional hours, broadened scope, and increased opportunities for patient interaction compared to previous reports.
DOI: 10.6084/m9.figshare.29100337.v1
title: Current status of temporomandibular disorders education in U.S. predoctoral dental curricula: A nationwide survey

description: Studies have highlighted variability and deficiencies in temporomandibular disorders (TMD) predoctoral education, with limited student clinical exposure. However, no research has examined changes following CODA inclusion of TMD instruction in predoctoral curricula. We investigated current scope, instructional modalities, and extent of TMD curricula in U.S. predoctoral dental programs. A 17-item REDCap<sup>TM</sup> survey was distributed in September–October 2024 to deans/associate deans of academic affairs at 72 CODA-accredited U.S. predoctoral dental schools, investigating TMD curricula, modalities, and extent. All 33 responding programs (53.2% response rate) included TMD instruction. Formal teaching accounted for 70.6±24.9% of instruction, while patient exposure constituted 22.5±21.0%. Programs dedicated 15.7±7.1 h on average (range 4–34) to TMD instruction . About 25.0% of programs had no board-certified orofacial pain (OFP) specialist on faculty. Instruction was mostly provided by OFP (75.8%), oral medicine specialists (36.4%), prosthodontists (30.3%), and oral surgeons (27.3%). Most programs (87.9%) treated TMD patients, yet 9.1% reported no student clinical exposure to these patients. In programs offering clinical exposure, patient interactions included direct evaluation and treatment (60.6%), rotations in OFP clinics (42.4%), observation (36.4%), or elective courses (3.0%). Management of OFP patients expanded to neuropathic pain (54.5%) and primary headache (33.3%), especially among programs with OFP specialists on faculty. TMD instruction varies widely across responding programs, but recent curricula have expanded instructional hours, broadened scope, and increased opportunities for patient interaction compared to previous reports.
DOI: 10.34808/ahwz-2a97
title: MODALITY corpus - SPEAKER 35 - 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 35:
sex: woman
native speaker: yes
age: 43
The test material: SEQUENCE S4
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 35) 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/ef72-2j11
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 56 mA. Sample 115.

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 115.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/kn23-td25
title: MODALITY corpus - SPEAKER 35 - 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 35:
sex: woman
native speaker: yes
age: 43
The test material: COMMANDS C2
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 35) 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: 10.5517/ccdc.csd.cc2n201t
title: CCDC 2444785: Experimental Crystal Structure Determination

description: Related Article: Shu‐Ji Gao, Shuang Liu, Ming‐Yang Gu, Yi‐Fan Ji, Danhua Ge, Zhi‐Liang Shen, Mengtao Ma, Xue‐Qiang Chu|2026|Adv.Synth.Catal.|368|e70188|doi:10.1002/adsc.70188
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: 10.34808/3xdr-nb82
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 112 mA. Sample 115.

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 112 mA.  Sample 115.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.