cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/5r3x-h997
title: Data from the survey on Gdańsk University of Technology graduates' professional careers - the year 2014

description: The dataset includes data from the survey on the Gdańsk University of Technology graduates’ professional careers, from the year 2014. The survey was conducted in 2016, two years after the respondents obtained graduate status. The research sample included 2004 respondents. The study concerned i.a. the percentage of people working among graduates of the Gdańsk University of Technology, length of the job search period, job position, economic sector, company size, amount of remuneration, also considering variables such as gender and the faculty graduated. Summarizing, the graduates' general situation within labour market was very good.
DOI: 10.34808/8dmg-bz64
title: Data from the survey on Gdańsk University of Technology graduates' qualifications development - the year 2016

description: The dataset includes data from the survey on the Gdańsk University of Technology graduates’ qualifications development. The research refers to graduates from the year 2016. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. The study referred to as i.a. to examine whether the graduates raise their qualifications after graduating from the studies, and if so, where do they raise it, how, and what are the sources of funding it, also considering variable such as the faculty graduated. Summarizing, the graduates of technical university develop their competencies constantly and in various forms of education.
DOI: 10.34808/f5c1-fm54
title: Data from the survey on Gdańsk University of Technology graduates' assessment of studying - the year 2016

description: The dataset includes data from the survey on Gdańsk University of Technology graduates’ assessment of studying. The research refers to graduates from the year 2016. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. The study referred to as i.a. assessment of whether university studies provided the basis for professional work and enabled the acquisition of relevant competencies, also considering variable such as the faculty graduated.  The graduates' general assessment of the studies in technical university was very positive.
DOI: 10.34808/dvt2-fb73
title: Data from the survey on Gdańsk University of Technology graduates' qualifications development - the year 2015

description: The dataset includes data from the survey on the Gdańsk University of Technology graduates’ qualifications development. The research refers to graduates from the year 2015. The survey was conducted in 2017, two years after the respondents obtained graduate status. The research sample included 2553 respondents. The study referred to as i.a. to examine whether the graduates raise their qualifications after graduating from the studies, and if so, where do they raise it, how, and what are the sources of funding it, also considering variable such as the faculty graduated. Summarizing, the graduates of technical university develop their competencies constantly and in various forms of education.
DOI: 10.34808/ht0c-9h74
title: Data from the survey on Gdańsk University of Technology graduates' professional careers - the year 2016

description: The dataset includes data from the survey on the Gdańsk University of Technology graduates’ professional careers, from the year 2016. The survey was conducted in 2018, two years after the respondents obtained graduate status. The research sample included 1947 respondents. The study concerned i.a. the percentage of people working among graduates of the Gdańsk University of Technology, length of the job search period, job position, economic sector, company size, amount of remuneration, also considering variable such as the faculty graduated. Summarizing, the graduates' general situation within labour market was very good.
DOI: 10.34808/q0tz-yd04
title: Data from the survey on Gdańsk University of Technology graduates' qualifications development - the year 2014

description: The dataset includes data from the survey on the Gdańsk University of Technology graduates’ qualifications development. The research refers to graduates from the year 2014. The survey was conducted in 2016, two years after the respondents obtained graduate status. The research sample included 2004 respondents. The study referred to as i.a. to examine whether the graduates raise their qualifications after graduating from the studies, and if so, where do they raise it, how, and what are the sources of funding it, also considering variables such as gender, the faculty graduated, or degree of study. Summarizing, the graduates of technical university develop their competencies constantly and in various forms of education.
DOI: 10.34808/r1e4-w360
title: Data from the survey on Gdańsk University of Technology graduates' assessment of studying - the year 2015

description: The dataset includes data from the survey on Gdańsk University of Technology graduates’ assessment of studying. The research refers to graduates from the year 2015. The survey was conducted in 2017, two years after the respondents obtained graduate status. The research sample included 2553 respondents. The study referred to as i.a. assessment of whether university studies provided the basis for professional work and enabled the acquisition of relevant competencies, also considering variable such as the faculty graduated.  The graduates' general assessment of the studies in technical university was very positive.
DOI: 10.5281/zenodo.18564125
title: Raw Data from Post-Doc (FAPESP #2024/03606-1)

description: Raw data generated during the postdoctoral project titled "Caminhos para a Otimização da Secagem de Concretos Refratários - Aproximando a Realidade Industrial a partir de Desenvolvimentos Laboratoriais e da Parceria Indústria-Academia" developed by Murilo Henrique Moreira and supervised by Professor Victor Carlos Pandolfelli at the Federal University of São Carlos.

 

This project received support from the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP #2024/03606-1), and the availability of the data complies with the regulations established by this agency.
DOI: 10.5281/zenodo.16281166
title: Strong Cu(I)–He interaction at open metal sites enables isotope-selective helium adsorption

description: The dataset covers small molecules to large clusters and very accurate methods: canonical CCSD(T) as a reference for small molecules and DLPNO‑CCSD(T) methods. We used the Gaussian 16 and ORCA 5.0.1 program packages. The dataset also contains some Python scripts.
DOI: 10.5281/zenodo.17914726
title: Strong Cu(I)–He interaction at open metal sites enables isotope-selective helium adsorption

description: The dataset covers small molecules to large clusters and very accurate methods: canonical CCSD(T) as a reference for small molecules and DLPNO‑CCSD(T) methods. We used the Gaussian 16 and ORCA 5.0.1 program packages. The dataset also contains some Python scripts.
DOI: 10.5281/zenodo.18564124
title: Raw Data from Post-Doc (FAPESP #2024/03606-1)

description: Raw data generated during the postdoctoral project titled "Caminhos para a Otimização da Secagem de Concretos Refratários - Aproximando a Realidade Industrial a partir de Desenvolvimentos Laboratoriais e da Parceria Indústria-Academia" developed by Murilo Henrique Moreira and supervised by Professor Victor Carlos Pandolfelli at the Federal University of São Carlos.

 

This project received support from the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP #2024/03606-1), and the availability of the data complies with the regulations established by this agency.
DOI: 10.5281/zenodo.18466321
title: Scientific Knowledge Graph for Cancer Research (SciLake Pilot)

description: Authors are listed in alphabetical order.


This dataset contains the Scientific Knowledge Graph of the Cancer research pilot, one of the domain pilots of the SciLake project.

The graph is constructed based on the OpenAIRE SKG-IF representation, providing core entity nodes for Agents, Data sources, Grants, Products, Manifestations, Topics, and Venues.

Fields of Science (FoS) and Sustainable Development Goals (SDGs), represented as Topic entities, as well as Research Artifacts and Citances, are computed by SciNoBo and provided under a CC‑BY‑NC license.

Technology entities and their links to research products are provided by OPIX. 

Domain-specific entities, including drugs, genes, proteins, tissues, diseases, functional regions, and cellular components, are integrated from the Clinical Knowledge Graph (CKG) (users must comply with the licenses of the original sources in CKG), while cancer-specific gene-to-gene relationships are sourced from the Blood Cancer Multi-Omics (BCMO) database (LGPL license).

The complete graph construction pipeline is described in detail in Section 4.5.1 of the SciLake Deliverable 3.2.
DOI: 10.5281/zenodo.18466320
title: Scientific Knowledge Graph for Cancer Research (SciLake Pilot)

description: Authors are listed in alphabetical order.


This dataset contains the Scientific Knowledge Graph of the Cancer research pilot, one of the domain pilots of the SciLake project.

The graph is constructed based on the OpenAIRE SKG-IF representation, providing core entity nodes for Agents, Data sources, Grants, Products, Manifestations, Topics, and Venues.

Fields of Science (FoS) and Sustainable Development Goals (SDGs), represented as Topic entities, as well as Research Artifacts and Citances, are computed by SciNoBo and provided under a CC‑BY‑NC license.

Technology entities and their links to research products are provided by OPIX. 

Domain-specific entities, including drugs, genes, proteins, tissues, diseases, functional regions, and cellular components, are integrated from the Clinical Knowledge Graph (CKG) (users must comply with the licenses of the original sources in CKG), while cancer-specific gene-to-gene relationships are sourced from the Blood Cancer Multi-Omics (BCMO) database (LGPL license).

The complete graph construction pipeline is described in detail in Section 4.5.1 of the SciLake Deliverable 3.2.
DOI: 10.34808/ezqs-z727
title: MODALITY corpus - SPEAKER 03 - COMMANDS C6

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 C6
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: 10.34808/3nes-7c04
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 224 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 224 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: 10.34808/6hg4-qf22
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 112 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 112 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/c37x-1f20
title: MODALITY corpus - SPEAKER 03 - 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 03:
sex: man
native speaker: no
age: 27
The test material: SEQUENCE S4
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: 10.34808/4q6d-wx98
title: MODALITY corpus - SPEAKER 03 - COMMANDS C5

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 C5
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/gdqe-x806
title: MODALITY corpus - SPEAKER 03 - 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 03:
sex: man
native speaker: no
age: 27
The test material: SEQUENCE S6
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.