cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/ava3-yd08
title: Simulation of the derecho event in Poland of 11th August 2017 using the WRF model and ERA5 data on pressure levels as initial conditions

description: This series contains datasets related to the forecasting of a severe weather event, a derecho, in Poland on 11 August 2017. The simulations were conducted using the Weather Research and Forecasting (WRF) model version 4.2.1 with initial and boundary conditions from ERA5 on pressure levels. Simulation was performed for two starting hours: at 00:00 and 12:00 UTC. The datasets contain about 280 meteorological parameters stored as 2D or 3D fields in 3 domains with high-spatial (12.5 km, 2.5 km and 0.5 km domains) and temporal (1 hour, 10 minutes, 10 minutes) resolutions. The three-dimensional fields are calculated up to 50 hPa at 50 levels. All data are stored in easily accessible NetCDF files.  Fig. Geographical localisation of the WRF domains on the background on maximum reflectivityderived from the WRF+ERA5 simulation at 20:00 UTC, 11th August 2017.
DOI: 10.34808/t8kh-4g84
title: WRF forecasting data of severe weather event in Central Europe on 11 August 2017

description: This dataset is related to the forecasting of weather conditions in Central Europe on 11 August 2017. During that day, the severe and devastating weather phenomenon (derecho) occurred in Poland. The simulations were carried out using the Weather Research and Forecasting (WRF) model version 4.2.1 with the initial and boundary conditions from the Global Data Assimilation System (GDAS). The simulation was started at 12:00 UTC with a 24-hour time range. The dataset contains about 220 meteorological parameters stored as 2D or 3D fields in the 2.5 km domain with 5-minute interval. Three-dimensional fields are calculated up to ~42 km at 90 levels. All data are stored in easily accessible NetCDF files.  Fig.  Geographical location of the WRF domain on the background on maximum reflectivityderived from the WRF simulation at 20:00 UTC, 11th August 2017.
DOI: 10.34808/y25j-bt51
title: FTIR-ATR (Fourier transform infrared spectroscopy-Attenuated Total Reflectance) of TNR (titanium dioxide nanorods) and TNR@Ni-foam (titanium dioxide nanorods on nickel foam)

description: This dataset contains FTIR-ATR (Fourier transform infrared spectroscopy-Attenuated Total Reflectance) of TNR (titanium dioxide nanorods) and TNR@Ni-foam (titanium dioxide nanorods on nickel foam) measurements . The detailed equipment and measurement data was described in "readme FTIR-ATR.txt" file.
DOI: 10.34808/7t84-b825
title: Gdansk 2020, Miszewskiego 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 Miszewskiego street. Date 11.08.2020, 6:00-20:00. The video camera was installed around bicycle crossings and pedestrian crossings at Grunwaldzka – ul. Miszewskiego – Do Studzienki crossing. Camera was mounted on 7-meter-high mast.
Collected data:
the highest volume of vehicles passing the pedestrian and bicycle crossing were recorded at 02:00 p.m. - 03:00 p.m.
most pedestrians were recorded between 04:00 p.m. - 05:00 p.m. and cyclists between 05:00 p.m. - 06:00 p.m.
avg hourly intensity of vehicles within the pedestrian and bicycle crossing were 1295 veh./h.
avg of 148 ped./h on the pedestrian crossing.
avg of 281 cyc./h on the bicycle crossing.
GPS coordinates: 54.3761971417326, 18.61461859462565
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/ectr-x324
title: Data from the survey on Gdańsk University of Technology graduates' assessment of studying - the year 2013.

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 2013. The survey was conducted in 2015, two years after the respondents obtained graduate status. The research sample included 1777 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 variables such as gender, the faculty graduated, or field of study.  The graduates' general assessment of the studies in technical university was very positive.
DOI: 10.34808/xked-1424
title: Miedzyborz 2021 - video data I - pedestrian, bicycles, vehicles

description: Miedzyborz 2021 - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 10 intersections and 3 cross-sections
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date 28-30.09.2021  

Location of intersections:



 
  Summary of road traffic and HGV share at individual intersections and cross-section.    

Sample view of the video material:
DOI: 10.34808/8f1k-vb47
title: Data from the survey on Gdańsk University of Technology graduates' qualifications development - the year 2013.

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 2013. The survey was conducted in 2015, two years after the respondents obtained graduate status. The research sample included 1777 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/myqb-5986
title: Borophene Chemical Vapar Depostion

description: The presented dataset corresponds to a nickel boride-based bifunctional electrocatalyst for overall water splitting. Developing highly efficient and durable electrocatalysts is essential for advancing renewable energy solutions. In this study, a simple one-step chemical vapor deposition (CVD) method was employed to synthesize boron-containing derivatives directly on a nickel substrate. The resulting Ni/Ni₃B material exhibited outstanding electrocatalytic performance, achieving low overpotentials of 264 mV for the hydrogen evolution reaction (HER) and 250 mV for the oxygen evolution reaction (OER) at a current density of 10 mA/cm², with corresponding Tafel slopes of 159 and 67 mV/dec, respectively. In-situ Raman spectroscopy provided insights into the structural transformations occurring during electrochemical reactions, revealing the formation of NiOOH as an active intermediate in OER and the involvement of Ni-B and Ni-O species in HER, which facilitate electron transfer and enhance intermediate stabilization. Long-term stability tests demonstrated exceptional durability, maintaining performance over 1000 hours at ±10 mA/cm². These findings underscore the potential of Ni/Ni₃B as an efficient and cost-effective electrocatalyst for practical water-splitting applications.
DOI: 10.15468/dl.fcwut5
title: Occurrence Download

description: A dataset containing 431658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Geodetic datum assumed WGS84)",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus suber L."
 ]
}

 The dataset includes 431658 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006253-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28690880
title: Mitochondrial RNA immunostimulation

description: <b>Oxidation of human mitochondrial RNA strongly potentiates immunostimulation in an interferon-associated manner</b>
DOI: 10.6084/m9.figshare.28690880.v1
title: Mitochondrial RNA immunostimulation

description: <b>Oxidation of human mitochondrial RNA strongly potentiates immunostimulation in an interferon-associated manner</b>
DOI: 10.34808/9vpa-9a86
title: Video DATA - Traffic generation modeling for discount shops - Rakoczego Street

description: The data includes video traffic data (vehicles, pedestrians, cyclists) registered at 21 Rakoczego street in Gdansk. The data covers the day 01.10.2020 at 6:00-10:00. The video camera was installed niearby the parking area belonging to the discount store Lidl. The data obtained was used in analysis, providing information about the modal split and the number of customers and vehicles.
Collected data include:
during the analyzed hours (6:00-10:00) the store was visited by 292 customers;
modal split: 49% car, 50% walk, 1% bike;
the highest volume of customers entering the discount store was observed at 9:00-10:00;
the highest volume of vehicles entering the parking area was observed at 8:00-9:00;
the highest volume of pedestrians entering the parking area was observed at
9:00-10:00
GPS coordinates 54.356610, 18.588343
This study is part of  Engineer's Thesis: Traffic generation modeling for discount shops.
DOI: 10.34808/btgh-6d04
title: MODALITY corpus - SPEAKER 14 - 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 14:
sex: man
native speaker: no
age: 38
The test material: SEQUENCE S1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 14) 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/dak8-et50
title: MODALITY corpus - SPEAKER 22 - 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 22:
sex: man
native speaker: yes
age: 51
The test material: SEQUENCE S1
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/tqd4-w698
title: Changes on the Surface of the SiO2/C Composite, Leading to the Formation of Conductive Carbon Structures with Complex Nature of DC Conductivity

description: Changes on the Surface of the SiO2/C Composite, Leading to the Formation of Conductive Carbon Structures with Complex Nature of DC Conductivity
DC
RAMAN
FTIR
XPS
SEM EDS
DOI: 10.34808/ypye-tf88
title: MODALITY corpus - SPEAKER 14 - 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 14:
sex: man
native speaker: no
age: 38
The test material: COMMANDS C1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 14) 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/f7n3-2c94
title: MODALITY corpus - SPEAKER 25 - 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 25:
sex: man
native speaker: yes
age: 58
The test material: SEQUENCE S1
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/g4j1-3w75
title: MODALITY corpus - SPEAKER 26 - 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 26:
sex: man
native speaker: yes
age: 46
The test material: COMMANDS C1
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.
DOI: 10.34808/kcc4-eb74
title: X-ray diffractometry results of the Sr0.86Ti0.65Fe0.35O3 powder

description: This dataset contains results of X-ray diffractometry mesurement (XRD) of the Sr0.86Ti0.65Fe0.35O3-d (STF35) powder. The phase composition of the investigated STF35 powder was analyzed by XRD at room temperature. It confirms the formation of the cubic perovskite oxide phase. Calculated average lattice constant is a  3.90882(1) Å, with Goodness of Fit parameter(GoF) =1.37.