cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28cgdj
title: CCDC 2096387: Experimental Crystal Structure Determination

description: Related Article: Zhan Liu, Zheng-Chun Yin, Wen-Qiang Lu, Dian-Bing Zhou, Guan-Wu Wang|2021|Chem.Commun.|57|13389|doi:10.1039/D1CC05749A
DOI: 10.5517/ccdc.csd.cc28cglq
title: CCDC 2096393: Experimental Crystal Structure Determination

description: Related Article: Zhan Liu, Zheng-Chun Yin, Wen-Qiang Lu, Dian-Bing Zhou, Guan-Wu Wang|2021|Chem.Commun.|57|13389|doi:10.1039/D1CC05749A
DOI: 10.5517/ccdc.csd.cc28djhq
title: CCDC 2097413: Experimental Crystal Structure Determination

description: Related Article: Santosh J. Gharpure, S. Jegadeesan, Dharmendra S. Vishwakarma|2021|Chem.Commun.|57|13333|doi:10.1039/D1CC06146A
DOI: 10.5517/ccdc.csd.cc28djjr
title: CCDC 2097414: Experimental Crystal Structure Determination

description: Related Article: Santosh J. Gharpure, S. Jegadeesan, Dharmendra S. Vishwakarma|2021|Chem.Commun.|57|13333|doi:10.1039/D1CC06146A
DOI: 10.5517/ccdc.csd.cc28djks
title: CCDC 2097415: Experimental Crystal Structure Determination

description: Related Article: Santosh J. Gharpure, S. Jegadeesan, Dharmendra S. Vishwakarma|2021|Chem.Commun.|57|13333|doi:10.1039/D1CC06146A
DOI: 10.5517/ccdc.csd.cc28djt1
title: CCDC 2097423: Experimental Crystal Structure Determination

description: Related Article: Santosh J. Gharpure, S. Jegadeesan, Dharmendra S. Vishwakarma|2021|Chem.Commun.|57|13333|doi:10.1039/D1CC06146A
DOI: 10.5517/ccdc.csd.cc28dy7w
title: CCDC 2097808: Experimental Crystal Structure Determination

description: Related Article: Qianxiang Ai, Tanner Smith, A. D. Thilanga Liyanage, Samuel M. Mazza, Sean R. Parkin, John E. Anthony, Chad Risko|2021|J.Mater.Chem.C|9|16929|doi:10.1039/D1TC05193H
DOI: 10.5517/ccdc.csd.cc28dy8x
title: CCDC 2097809: Experimental Crystal Structure Determination

description: Related Article: Qianxiang Ai, Tanner Smith, A. D. Thilanga Liyanage, Samuel M. Mazza, Sean R. Parkin, John E. Anthony, Chad Risko|2021|J.Mater.Chem.C|9|16929|doi:10.1039/D1TC05193H
DOI: 10.5517/ccdc.csd.cc28m402
title: CCDC 2103753: Experimental Crystal Structure Determination

description: Related Article: Max Attwood, Dong Kuk Kim, Joseph H. L. Hadden, Anthony Maho, Wern Ng, Hao Wu, Hiroki Akutsu, Andrew J. P. White, Sandrine Heutz, Mark Oxborrow|2021|J.Mater.Chem.C|9|17073|doi:10.1039/D1TC03933D
DOI: 10.5517/ccdc.csd.cc28m413
title: CCDC 2103754: Experimental Crystal Structure Determination

description: Related Article: Max Attwood, Dong Kuk Kim, Joseph H. L. Hadden, Anthony Maho, Wern Ng, Hao Wu, Hiroki Akutsu, Andrew J. P. White, Sandrine Heutz, Mark Oxborrow|2021|J.Mater.Chem.C|9|17073|doi:10.1039/D1TC03933D
DOI: 10.5517/ccdc.csd.cc28m424
title: CCDC 2103755: Experimental Crystal Structure Determination

description: Related Article: Max Attwood, Dong Kuk Kim, Joseph H. L. Hadden, Anthony Maho, Wern Ng, Hao Wu, Hiroki Akutsu, Andrew J. P. White, Sandrine Heutz, Mark Oxborrow|2021|J.Mater.Chem.C|9|17073|doi:10.1039/D1TC03933D
DOI: 10.5517/ccdc.csd.cc28m435
title: CCDC 2103756: Experimental Crystal Structure Determination

description: Related Article: Max Attwood, Dong Kuk Kim, Joseph H. L. Hadden, Anthony Maho, Wern Ng, Hao Wu, Hiroki Akutsu, Andrew J. P. White, Sandrine Heutz, Mark Oxborrow|2021|J.Mater.Chem.C|9|17073|doi:10.1039/D1TC03933D
DOI: 10.5517/ccdc.csd.cc28psrj
title: CCDC 2106318: Experimental Crystal Structure Determination

description: Related Article: Thanat Tiyasakulchai, Netnapa Charoensetakul, Thitiphong Khamkhenshorngphanuch, Chawanee Thongpanchang, Onsiri Srikun, Yongyuth Yuthavong, Nitipol Srimongkolpithak|2021|RSC Advances|11|38691|doi:10.1039/D1RA06963B
DOI: 10.5517/ccdc.csd.cc28qs60
title: CCDC 2107262: Experimental Crystal Structure Determination

description: Related Article: Toshiki Yamashiro, Takumi Abe, Masaru Tanioka, Shinichiro Kamino, Daisuke Sawada|2021|Chem.Commun.|57|13381|doi:10.1039/D1CC06033C
DOI: 10.25573/data.13624055
title: Dataset: Plant diversity and structure in desert communities of the Andean piedmont in Ica, Peru

description: Plot-based vascular plant vegetation surveys in desert ecosystems along the western Andean slopes of Ica department in Peru
DOI: 10.25573/data.13624055.v3
title: Dataset: Plant diversity and structure in desert communities of the Andean piedmont in Ica, Peru

description: Plot-based vascular plant vegetation surveys in desert ecosystems along the western Andean slopes of Ica department in Peru
DOI: 10.25573/data.13624055.v2
title: Dataset: Plant diversity and structure in desert communities of the Andean piedmont in Ica, Peru

description: Plot-based vascular plant vegetation surveys in desert ecosystems along the western Andean slopes of Ica department in Peru
DOI: 10.25625/pd9ofd/crvsi4
title: ZSB_Neigungsverstellbare_Gestelleinheit_100623.pdf

description: :unav
DOI: 10.25625/pd9ofd/crmafj
title: ZSB_Neigungsverstellbare_Gestelleinheit_100623.stp

description: :unav
DOI: 10.25625/pd9ofd/g5l7hu
title: top.png

description: :unav
DOI: 10.25625/pd9ofd/maxmim
title: 3dmodel.stp

description: :unav
DOI: 10.25625/pd9ofd/a05qez
title: 3dmodel.pdf

description: :unav
DOI: 10.25625/pd9ofd/qxz44s
title: 3dmodel.stp

description: :unav
DOI: 10.25625/pd9ofd/u8xzec
title: iso2.png

description: :unav
DOI: 10.25625/pd9ofd/hiubzi
title: front.jpg

description: :unav
DOI: 10.25625/pd9ofd/l7m8ou
title: 3dmodel.stp

description: :unav
DOI: 10.25625/pd9ofd/oel9o7
title: 3dmodel.pdf

description: :unav
DOI: 10.25625/pd9ofd/drnkhk
title: 3dmodel.stp

description: :unav
DOI: 10.25625/pd9ofd/ia51xi
title: 3dmodel.pdf

description: :unav
DOI: 10.25625/pd9ofd/plbutx
title: iso1.png

description: :unav
DOI: 10.25625/pd9ofd/znxlqj
title: side.jpg

description: :unav
DOI: 10.25625/pd9ofd/hdxlwy
title: top.jpg

description: :unav
DOI: 10.25625/pd9ofd/g7q6oa
title: iso1.png

description: :unav
DOI: 10.25625/pd9ofd/mqwkew
title: side.png

description: :unav
DOI: 10.25625/pd9ofd/d5h8wy
title: README.txt

description: :unav
DOI: 10.25625/pd9ofd
title: Mechanical drawings and CAD data for the in-situ cloud particle tracking experiment

description: This dataset comprises the CAD drawings for the in-situ cloud particle tracking experiment, that is presented elsewhere (see related publications). The drawings are provided for readers to better understand the related publication1, and are not suitable for rebuilding the experimental setup. The CAD drawings are available as STEP files, which most 3D CAD software can open. Also provided are 3D PDF files, which can be viewed with Adobe Acrobat Reader, and plain PNG or JPG files. 1 Bertens et al., Review of Scientific Instruments 92, 125105 (2021)
DOI: 10.5066/f7rb73xw
title: Metadata - Is Sensitivity to Anticoagulant Rodenticides Affected by Repeated Exposure in Raptors?
DOI: 10.5066/p9c56ay1
title: EPA 40km Hexagons for Conterminous United States

description: This dataset of 40 square kilometer hexagons was created by the U.S. EPA's Environmental Monitoring and Assessment Program (EMAP) and is being released by the U.S. Geological Survey for public use. The 40 sq km hexagons were derived from a grid consisting of a triangular array of points that cover the United States and neighboring Canada and Mexico. The base grid of points had a companion areal structure called a tessellation. The base tessellation hexagons constituted this tessellation. In other words, surrounding each grid point was a hexagon that defines the area within which all points are closer to this grid point than to any other, and the set of hexagons defined this way completely and mutually exclusively covers the space of the grid. The grid had a base density of approximately 648 sq km per point with a spacing of approximately 27 km between points. The 40 sq km hexagons (which do not form a tessellation) were centered about the randomized grid points and are exactly 1/16th the size of the tessellation hexagons (and therefore slightly less than 40 sq km). Hexagon boundaries are distributed in geodetic coordinates based on the Clarke 1866 model of the earth, meaning that the coordinates are latitude and longitude on the ellipsoid used by most North American geodetic coordinate systems. Distribution can also be made in GRS 80 coordinates if desired. The precision of the coordinates is to millionths of a degree, i.e., to 6 decimal places of a degree. This corresponds to about 0.1 meter on the surface of the earth. The point grid was constructed in the plane of a special version of the Lambert azimuthal equal area projection; for subsequent use they may be projected using other map projections. When other projections are used, the geometry of the point grid will not be perfectly triangular nor will the hexagons surrounding the points be perfect, since sizes and/or shapes and/or distances will necessarily be distorted in another projection relative to the one used to construct the grid.
DOI: 10.5066/p93vebtc
title: Hydrological measurements of 300 US temporary wetlands from 2004-2014

description: This dataset includes hydrological measurements of 300 US temporary wetlands from 2004-2014.
DOI: 10.34808/frqd-c359
title: Determination of the minimal fungicidal concentration of C-1311 derivatives (C-1296, C-1410, Compound 1, Compound 1-R8) against Candida strains

description: The datasets contain the results of determining  the minimal fungicidal concentration of imidazoacridinone derivatives against C. albicans ATCC 10231, C. glabrata ATCC 90030, C. krusei ATCC 6258 and C. parapsilosis ATCC 22019 and C. albicans clinical strains. The minimal fungicidal concentration (MFC) were determined as MIC according to the modified M27-A3 specified by the CLSI and after 24 h incubation at 37°C small aliquots of suspensions (around 5 µL) from each well were taken using the 48-well metal pinner to YPG agar plates and incubated 24 h at 37°C.
DOI: 10.34808/dshd-pg64
title: MODALITY corpus - SPEAKER 21 - 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 21:
sex: man
native speaker: yes
age: 45
The test material: COMMANDS C6
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 21) 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/r0gz-n470
title: MODALITY corpus - SPEAKER 21 - 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 21:
sex: man
native speaker: yes
age: 45
The test material: COMMANDS C5
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 21) 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: 10.34808/5nay-bs22
title: MODALITY corpus - SPEAKER 21 - COMMANDS C4

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 21:
sex: man
native speaker: yes
age: 45
The test material: COMMANDS C4
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 21) 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: 10.34808/3qvd-w343
title: MODALITY corpus - SPEAKER 21 - 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 21:
sex: man
native speaker: yes
age: 45
The test material: SEQUENCE S5
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 21) 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/dww8-ne61
title: MODALITY corpus - SPEAKER 21 - 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 21:
sex: man
native speaker: yes
age: 45
The test material: SEQUENCE S6
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 21) 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.