cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/558x-g541
title: MODALITY corpus - SPEAKER 21 - 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 21:
sex: man
native speaker: yes
age: 45
The test material: SEQUENCE S4
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/e11j-s431
title: MODALITY corpus - SPEAKER 21 - COMMANDS C3

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 C3
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: 10.5281/zenodo.5770915
title: Neglected very-long-chain hydrocarbons and the incorporation of body surface areas reveal novel perspectives for chemical profile analysis in insects

description: Most of what we know about insect cuticular hydrocarbons (CHCs) has been informed by analyses with gas-chromatography coupled with mass spectrometry (GC-MS). However, this analysis technique has its limit, particularly in detecting compounds in a chain length range beyond around C40. Here, we attempt to differentiate the range of CHCs detectable by GC-MS with the largely neglected very-long-chain CHC range up to C58 analyzed by silver-assisted laser desorption/ionization mass spectrometry (Ag-LDI-MS), in seven species of the order Blattodea. For all tested species we unveiled a considerable range of very-long-chain CHCs not detectable by traditional GC-MS technology. This strongly suggests that general studies on insect CHCs routinely miss compounds in that range, and we encourage future studies to implement technologies capable of detecting very-long-chain CHCs. Furthermore, we implement 3D scanned insect body surface areas when quantifying CHC amounts per GC-MS, as Ag-LDI-MS is less suited to quantify total CHC contents. Proportional CHC distributions differed considerably when adjusted for body surface areas, suggesting the importance of their consideration. Moreover, correlations between body surface areas and GC-MS assessed CHC amounts were not significant, further hinting the inaccessibility of whole CHC profile ranges by this technique, potentially by missing the clearly present very-long-chain CHCs.
DOI: 10.34808/faar-ar90
title: MODALITY corpus - SPEAKER 21 - SEQUENCE S3

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 21:
sex: man
native speaker: yes
age: 45
The test material: SEQUENCE S3
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: 10.25318/3710021101-eng
title: Public and private expenditure on educational institutions as a percentage of GDP, by level of education

description: This data table presents education expenditure in Canada as a proportion of GDP.
DOI: 10.25318/3710021101-fra
title: Dépenses publiques et privées au titre des établissements d'enseignement en pourcentage du PIB, selon le niveau d'enseignement

description: Ce tableau de données présente les dépenses d'éducation au Canada en proportion du PIB.
DOI: 10.25318/3710021201-eng
title: Distribution of total and current expenditure by educational institutions, from public and private sources, by level of education

description: This data table presents the proportions of total expenditure by educational institutions on current and capital expenses, including salaries and wages.
DOI: 10.25318/3710021201-fra
title: Répartition des dépenses totales et de fonctionnement des établissements d'enseignement, de sources publique et privée, selon le niveau d'enseignement

description: Ce tableau de données présente les proportions des dépenses totales des établissements d'enseignement en dépenses courantes et en capital, y compris les traitements et salaires.
DOI: 10.34808/q4hh-gn27
title: MODALITY corpus - SPEAKER 21 - COMMANDS C2

description: The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system, as every utterance was labelled. Recordings in noisy conditions can be used to test the robustness of speech recognition systems.
The language material was based on a remote control scenario and it includes 231 words -numbers, names of months and days, a set of verbs and nouns related to a computer device control. They were read by speakers as separated words and sequences resulting in a set of 12 recording sessions per speaker. Half of the sessions were recorded in quiet conditions, the other half contained three kinds of intrusive signals (traffic, babble and factory noise).
The corpus includes recordings of 42 speakers (33 male, 9 female). The participants include 20 students and staff of Multimedia Systems Department of the Gdańsk University of Technology, 5 students of the Institute of English and American Studies of the University of Gdańsk, and 17 native English speakers.
The dataset consist of recordings and visual features for SPEAKER 21:
sex: man
native speaker: yes
age: 45
The test material: COMMANDS C2
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: 10.34808/0m90-zt80
title: MODALITY corpus - SPEAKER 21 - SEQUENCE S2

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 S2
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: 10.5066/p9l7j5u4
title: Spatial Integration of Biological and Social Objectives to Identify Priority Landscapes for Waterfowl Habitat Conservation

description: The information and data presented herein serve as the supplement to the report, Spatial Integration of Biological and Social Objectives to Identify Priority Landscapes for Waterfowl Habitat Conservation. The purpose of this supplemental material is to encourage exploration of the methods used to develop the spatially explicit products presented in the report. The in depth step-by-step methodology is complemented with a geodatabase to facilitate future refinement of the model as new information becomes available in the future. To repeat the process of developing the spatially explicit products (or to create other composite spatial products by varying objectives and weights), follow the methodology described in the Supplemental Information document. Spatial data available for download includes 34 layers (20 waterfowl breeding and non-breeding objectives layers, 9 social objectives layers, and 5 raster mixed model layers) which can be accessed at https://doi.org/10.5066/P9L7J5U4. All sources of raw data are provided and should be cited accordingly. For availability of intermediate spatial products and other data included in the geodatabase contact the corresponding author. For further inquiries or comments about the products or results, contact the corresponding author.
DOI: 10.5066/p9ddr3ob
title: Spatio-temporal distribution models for dabbling duck species across the continental United States

description: These data describe the spatio-temporal distribution of dabbling duck species across the continental United States during four biologically relevant seasons. This dataset contains two types of distribution models: (1) probability of presence, and (2) abundance. The model type, species, and season depicted in a raster are defined in the file name. File names begin with either abun (indicating that it is an abundance model) or prob (indicating a probability of occurrence model). Following model type is species, for which there are 10 provided: ambd (American Black Duck), amew (American Wigeon), buwt (Blue-winged Teal), cint (Cinnamon Teal), gadw (Gadwall), gnwt (Green-winged Teal), mall (Mallard), motd (Mottled Duck), norp (Nirthern Pintail), and nors (Northern Shoveler). Finally, season is indicated as either Winter, Spring, Summer, or Fall.
DOI: 10.5517/ccdc.csd.cc28rlf2
title: CCDC 2108044: Experimental Crystal Structure Determination

description: Related Article: Piaopiao Zeng, Xiaoxiao Huang, Wei Tang, Zhiwei Chen|2021|Org.Biomol.Chem.|19|10223|doi:10.1039/D1OB01754C
DOI: 10.5517/ccdc.csd.cc28t1bh
title: CCDC 2109436: Experimental Crystal Structure Determination

description: Related Article: Wiktor Zierkiewicz, Mariusz Michalczyk, Thierry Maris, Rafał Wysokiński, Steve Scheiner|2021|Chem.Commun.|57|13305|doi:10.1039/D1CC05640A
DOI: 10.5517/ccdc.csd.cc28tz25
title: CCDC 2110327: Experimental Crystal Structure Determination

description: Related Article: Shaik Anwar, Li-Tzu Lin, V. Srinivasadesikan, Veera Babu Gudise, Kwunmin Chen|2021|RSC Advances|11|38648|doi:10.1039/D1RA07165C
DOI: 10.5517/ccdc.csd.cc28tz36
title: CCDC 2110328: Experimental Crystal Structure Determination

description: Related Article: Shaik Anwar, Li-Tzu Lin, V. Srinivasadesikan, Veera Babu Gudise, Kwunmin Chen|2021|RSC Advances|11|38648|doi:10.1039/D1RA07165C
DOI: 10.5517/ccdc.csd.cc28v65j
title: CCDC 2110547: Experimental Crystal Structure Determination

description: Related Article: Guo-Xia Jin, Teng Wang, Tai-Xing Yue, Xiao-Kang Wang, Fangna Dai, Xiang-Wen Wu, Qi-Kui Liu, Jian-Ping Ma|2021|Chem.Commun.|57|13325|doi:10.1039/D1CC05316G
DOI: 10.5517/ccdc.csd.cc28whxl
title: CCDC 2111810: Experimental Crystal Structure Determination

description: Related Article: Daniel A. Kurtz, Jibo Zhang, Arvin Sookezian, Jeremy Kallick, Michael G. Hill, Bryan M. Hunter|2021|Inorg.Chem.|60|17445|doi:10.1021/acs.inorgchem.1c03020
DOI: 10.5517/ccdc.csd.cc28whym
title: CCDC 2111811: Experimental Crystal Structure Determination

description: Related Article: Daniel A. Kurtz, Jibo Zhang, Arvin Sookezian, Jeremy Kallick, Michael G. Hill, Bryan M. Hunter|2021|Inorg.Chem.|60|17445|doi:10.1021/acs.inorgchem.1c03020
DOI: 10.5517/ccdc.csd.cc28whzn
title: CCDC 2111812: Experimental Crystal Structure Determination

description: Related Article: Daniel A. Kurtz, Jibo Zhang, Arvin Sookezian, Jeremy Kallick, Michael G. Hill, Bryan M. Hunter|2021|Inorg.Chem.|60|17445|doi:10.1021/acs.inorgchem.1c03020
DOI: 10.5517/ccdc.csd.cc28wj0q
title: CCDC 2111813: Experimental Crystal Structure Determination

description: Related Article: Daniel A. Kurtz, Jibo Zhang, Arvin Sookezian, Jeremy Kallick, Michael G. Hill, Bryan M. Hunter|2021|Inorg.Chem.|60|17445|doi:10.1021/acs.inorgchem.1c03020
DOI: 10.5517/ccdc.csd.cc28wj1r
title: CCDC 2111814: Experimental Crystal Structure Determination

description: Related Article: Daniel A. Kurtz, Jibo Zhang, Arvin Sookezian, Jeremy Kallick, Michael G. Hill, Bryan M. Hunter|2021|Inorg.Chem.|60|17445|doi:10.1021/acs.inorgchem.1c03020
DOI: 10.5517/ccdc.csd.cc28wv89
title: CCDC 2112131: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc28wv9b
title: CCDC 2112132: Experimental Crystal Structure Determination

description: Related Article: Lei Yang, Wen-Qiang Xu, Tao Liu, Yichen Wu, Biqin Wang, Peng Wang|2021|Chem.Commun.|57|13365|doi:10.1039/D1CC05576C
DOI: 10.34808/tght-ye55
title: The time-dependent cellular uptake of C−2028, CD−C−2028, QDgreen−C−2028, and QDgreen−CD−FA−C−2028 conjugates at IC80 value to cancer LNCaP cells

description: The time-dependent (1, 24, 48, and 72 h) cellular uptake of C−2028, CD−C−2028, QDgreen−C−2028, and QDgreen−CD−FA−C−2028 conjugates at IC80 value to cancer LNCaP cells performed by Confocal Laser Scanning Microscopy (63× magnification; ZEISS LSM T-PMT, Magdeburg, Germany). Based on the fluorescence properties of these compounds, green and orange fluorescence are representative for QDgreen and C−2028, respectively. The imaging conditions were: QDgreen (excitation 300 nm, emission 543 nm), C−2028 (excitation 528 nm, emission 553 nm). The scale bar is 20 µM.
DOI: 10.5281/zenodo.5562696
title: Data from: Evidence for tissue-specific defense-offense interactions between milkweed and its community of specialized herbivores

description: Input data used to generate the results for the manuscript under publication. It contains: 1) the residual enzymatic activity (absorbance) of 3 cardenolide-tolerant insects and the non tolerant fruit fly to 5 tissue extracts from Asclepias curassavica (roots, leaves, flower buds, seeds and latex); 2) The dilution level required to inhibit the enzymes by 50% (IC50); 3) The amount of tissue used to prepare the extracts for the enzymatic assay, as well as their cardenolide concentration to standardize the IC50 estimates by tissue mass and plant defense concentration; 4) The dataset of the chemical characterization by HPLC of the different plant parts of Asclepias curassavica.