cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23729/2a4e6ee1-d4b2-4e41-8173-5c178f56d751
title: Angelsey magma-sediment rocks preview

description: The samples analysed are examples of magma-sediment interaction and were investigated to further understand the mixing fabrics in 3D. The research is being undertaken by PhD student Rebecca Miles (USW) and supervised by Dr Ian Skilling and Professor Duncan Pirrie (USW). The samples are from the Gwna Group Melange (Monian Super Group) spanning the Precambrian Ediacaran Period (635 Ma) to early Cambrian Comley series (510 Ma), which crops out as part of the iconic and well documented succession on Anglesey, North Wales. This unit offers clear evidence of spectacular interaction of basaltic magma and seafloor sediment on the metre to millimetre scale (i.e. peperite generation), which has been recognized here for the first time. The age of the studied limestones is poorly known but other Gwna Group limestone megaclasts on the island which are up to hundreds of metres in size, have been documented using strontium isotope chemostratigraphy as having a Neoproterozoic depositional age between early Cryogenian (c. 800 Ma) and late Tonian (860 Ma) (Horák & Evans, 2010). 10 field samples were selected from the suite of collected field samples for 3D imaging using microCT. The combined results with optical imaging will allow the fine resolution of the magma-sediment interaction to be imaged in 3D for the first time It is anticipated that the results arising from this study, which would form part of Rebecca Miles PhD would result in a manuscript being submitted for publication in a high impact Earth Science journal (e.g. Bulletin of Volcanology). Preview of PAS-dataset https://doi.org/10.23729/8fe03af4-9749-4183-be2f-1fa3d2872785
DOI: 10.5281/zenodo.4772761
title: Marion Island Climate Data

description: The Marion Island Long-term transect investigates the climate invertebrates experience along an altitudinal transect from 0 - 800 m.a.s.l. It is a long term project, initiated in 2002 by Prof. S.L. Chown, Stellenbosch University. Data collection is carried out approximetely every 150 days.
description: To monitor the climate the invertebrates experience. This file contains data for 2002 (starting in May).
DOI: 10.5281/zenodo.4772760
title: Marion Island Climate Data

description: The Marion Island Long-term transect investigates the climate invertebrates experience along an altitudinal transect from 0 - 800 m.a.s.l. It is a long term project, initiated in 2002 by Prof. S.L. Chown, Stellenbosch University. Data collection is carried out approximetely every 150 days.
description: To monitor the climate the invertebrates experience. This file contains data for 2002 (starting in May).
DOI: 10.5281/zenodo.4775032
title: iNaturalist observations from Tasmania, Australia to 2021-05-15

description: This archive contains two files. "observations-149869.csv" contains all <em>iNaturalist</em> observations from Tasmania, Australia as of 15 May 2021, as downloaded from the <em>iNaturalist</em> website. "working_version.tsv" is a tab-separated version of the <em>iNaturalist</em> CSV with carriage returns and some invisible control characters removed. 236 records had the "observed_on" field blank, but 95 of those records had interpretable dates in the "observed_on_string", and I added "observed_on" dates in those 95 records. As downloaded the CSV had a header and 88546 records and 63 fields. I added a 64th field to the TSV, "taxon_type", to contain either the formal rank of the entry in the "scientific_name" field, or a suitable description, e.g. "informal taxon".
DOI: 10.5281/zenodo.4775031
title: iNaturalist observations from Tasmania, Australia to 2021-05-15

description: This archive contains two files. "observations-149869.csv" contains all <em>iNaturalist</em> observations from Tasmania, Australia as of 15 May 2021, as downloaded from the <em>iNaturalist</em> website. "working_version.tsv" is a tab-separated version of the <em>iNaturalist</em> CSV with carriage returns and some invisible control characters removed. 236 records had the "observed_on" field blank, but 95 of those records had interpretable dates in the "observed_on_string", and I added "observed_on" dates in those 95 records. As downloaded the CSV had a header and 88546 records and 63 fields. I added a 64th field to the TSV, "taxon_type", to contain either the formal rank of the entry in the "scientific_name" field, or a suitable description, e.g. "informal taxon".
DOI: 10.6084/m9.figshare.14625822
title: MS-salvage-logging-data-DataPortal.xlsx

description: Data on total harvest, salvage loggings and causes of salvage loggings in 17 Member States
DOI: 10.6084/m9.figshare.14625822.v1
title: MS-salvage-logging-data-DataPortal.xlsx

description: Data on total harvest, salvage loggings and causes of salvage loggings in 17 Member States
DOI: 10.34740/kaggle/dsv/2252101
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.34808/ep8w-ch08
title: WRF-METEOPG: numerical weather forecast data for Poland - Days 50-56, Year 2021

description: WRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization and model dynamics have been adjusted to the weather conditions prevailing in Poland. Also, a whole geographical database (topography, land cover, etc.) has been redefined using, e.g. CORINE and SRTM data. As initial and boundary conditions GFS model with 0.25° spatial resolution is used or, when GFS is unavaialble, ICON-EU with 6.5 km resolution.
This dataset contains weather forecast data for the days 50-56 of the year 2021 (February 19 - February 25, 2021). For each day, the simulations were started at 00 and 12 UTC with the forecast range equal 60-hours. Data are stored in grib2 file format with 1-hour temporal and about 2.5 km spatial resolutions for whole area of Poland. Dataset contains basic meteorological parameters such as 2-meter temperature, surface and sea level pressure, precipitation, cloud cover, wind speed and gusts. Detailed information about available parameters and dataset structure can be found in the readme file attached to the dataset.
Calculations were carried out at the Academic Computer Centre in Gdansk under the project "Parameterization and development of a high-resolution mesoscale WRF numerical weather model with assimilation of meteorological and GNSS data".
DOI: 10.34808/vkm0-9s59
title: WRF-METEOPG: numerical weather forecast data for Poland - Days 43-49, Year 2021

description: WRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization and model dynamics have been adjusted to the weather conditions prevailing in Poland. Also, a whole geographical database (topography, land cover, etc.) has been redefined using, e.g. CORINE and SRTM data. As initial and boundary conditions GFS model with 0.25° spatial resolution is used or, when GFS is unavaialble, ICON-EU with 6.5 km resolution.
This dataset contains weather forecast data for the days 43-49 of the year 2021 (February 12 - February 18, 2021). For each day, the simulations were started at 00 and 12 UTC with the forecast range equal 60-hours. Data are stored in grib2 file format with 1-hour temporal and about 2.5 km spatial resolutions for whole area of Poland. Dataset contains basic meteorological parameters such as 2-meter temperature, surface and sea level pressure, precipitation, cloud cover, wind speed and gusts. Detailed information about available parameters and dataset structure can be found in the readme file attached to the dataset.
Calculations were carried out at the Academic Computer Centre in Gdansk under the project "Parameterization and development of a high-resolution mesoscale WRF numerical weather model with assimilation of meteorological and GNSS data".
DOI: 10.34808/9rfy-5b07
title: WRF-METEOPG: numerical weather forecast data for Poland - Days 36-42, Year 2021

description: WRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization and model dynamics have been adjusted to the weather conditions prevailing in Poland. Also, a whole geographical database (topography, land cover, etc.) has been redefined using, e.g. CORINE and SRTM data. As initial and boundary conditions GFS model with 0.25° spatial resolution is used or, when GFS is unavaialble, ICON-EU with 6.5 km resolution.
This dataset contains weather forecast data for the days 36-42 of the year 2021 (Feberuary 5 - Feberuary 11, 2021). For each day, the simulations were started at 00 and 12 UTC with the forecast range equal 60-hours. Data are stored in grib2 file format with 1-hour temporal and about 2.5 km spatial resolutions for whole area of Poland. Dataset contains basic meteorological parameters such as 2-meter temperature, surface and sea level pressure, precipitation, cloud cover, wind speed and gusts. Detailed information about available parameters and dataset structure can be found in the readme file attached to the dataset.
Calculations were carried out at the Academic Computer Centre in Gdansk under the project "Parameterization and development of a high-resolution mesoscale WRF numerical weather model with assimilation of meteorological and GNSS data".
DOI: 10.34808/v7m4-sx19
title: MODALITY corpus - SPEAKER 36 - 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 36:
sex: man
native speaker: yes
age: 30
The test material: SEQUENCE S1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 36) 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/cjvz-bv92
title: MODALITY corpus - SPEAKER 36 - 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 36:
sex: man
native speaker: yes
age: 30
The test material: COMMANDS C1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 36) 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: 10.34808/8gjt-9507
title: MODALITY corpus - SPEAKER 37 - 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 37:
sex: woman
native speaker: no
age: 26
The test material: SEQUENCE S1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 37) 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: 10.34808/3m9f-z171
title: MODALITY corpus - SPEAKER 37 - 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 37:
sex: woman
native speaker: no
age: 26
The test material: COMMANDS C1
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 37) 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/q64m-2b80
title: WRF-METEOPG: numerical weather forecast data for Poland - Days 29-35, Year 2021

description: WRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization and model dynamics have been adjusted to the weather conditions prevailing in Poland. Also, a whole geographical database (topography, land cover, etc.) has been redefined using, e.g. CORINE and SRTM data. As initial and boundary conditions GFS model with 0.25° spatial resolution is used or, when GFS is unavaialble, ICON-EU with 6.5 km resolution.
This dataset contains weather forecast data for the days 29-35 of the year 2021 (January 29 - February 4, 2021). For each day, the simulations were started at 00 and 12 UTC with the forecast range equal 60-hours. Data are stored in grib2 file format with 1-hour temporal and about 2.5 km spatial resolutions for whole area of Poland. Dataset contains basic meteorological parameters such as 2-meter temperature, surface and sea level pressure, precipitation, cloud cover, wind speed and gusts. Detailed information about available parameters and dataset structure can be found in the readme file attached to the dataset.
Calculations were carried out at the Academic Computer Centre in Gdansk under the project "Parameterization and development of a high-resolution mesoscale WRF numerical weather model with assimilation of meteorological and GNSS data".
DOI: 10.34808/2z7b-x602
title: WRF-METEOPG: numerical weather forecast data for Poland - Days 8-14, Year 2021

description: WRF-METEOPG is a numerical weather forecast system developed at the Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Poland. The system was built on the basis of the Weather Research and Forecast model version 4.2 and implemented at Centre of Informatics Tricity Academic Supercomputer & Network. Physics parametrization and model dynamics have been adjusted to the weather conditions prevailing in Poland. Also, a whole geographical database (topography, land cover, etc.) has been redefined using, e.g. CORINE and SRTM data. As initial and boundary conditions GFS model with 0.25° spatial resolution is used or, when GFS is unavaialble, ICON-EU with 6.5 km resolution.
This dataset contains weather forecast data for the days 8-14 of the year 2021 (January 8 - January 14, 2021). For each day, the simulations were started at 00 and 12 UTC with the forecast range equal 60-hours. Data are stored in grib2 file format with 1-hour temporal and about 2.5 km spatial resolutions for whole area of Poland. Dataset contains basic meteorological parameters such as 2-meter temperature, surface and sea level pressure, precipitation, cloud cover, wind speed and gusts. Detailed information about available parameters and dataset structure can be found in the readme file attached to the dataset.
Calculations were carried out at the Academic Computer Centre in Gdansk under the project "Parameterization and development of a high-resolution mesoscale WRF numerical weather model with assimilation of meteorological and GNSS data".