cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/v24h-se94
title: MODALITY corpus - SPEAKER 01 - 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 01:
sex: man
native speaker: no
age: 27
The test material: SEQUENCE S5
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 01) 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/atbc-bj43
title: MODALITY corpus - SPEAKER 01 - 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 01:
sex: man
native speaker: no
age: 27
The test material: SEQUENCE S6
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 01) 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/fgat-hd86
title: MODALITY corpus - SPEAKER 01 - 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 01:
sex: man
native speaker: no
age: 27
The test material: COMMANDS C6
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 01) 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/hjkc-2318
title: Cytotoxicity of chitosan hydrogels aginst L929 cells

description: This study presents absorbance values of formazan product (converted from MTT) which corresponds to the cytotoxicity of chitosan compounds (dissolved in carbonic acid, dissolved in carbonic acid endotoxin free, and dissolved in hydroxyacetic acid)  aginst adult mouse fibroblast L929 cells. The experiments were carried out according to the ISO 10993-5:2009(E) standard.
Cytotoxicity of compounds was measured in three different dilution factors: 1:1; 1:3 and 1:6. Briefly, L929 cells were seeded at 104 per well. After 24 h of incubation, the medium was replaced with new medium containing compounds and incubated for 24 h. Following 24 h of the treatment, the medium was changed to fresh containing 1 mg/mL MTT and incubated for 2 h. Next, the medium was removed and formazan crystals were dissolved in 100 µL of isopropanol. The absorbance was measured using a spectrophotometer (540 nm). Based on the results % of viability was determined, assuming that the control was 100%.
DOI: 10.34808/4z3f-3403
title: The influence of chitosan hydrogels on the morphology of L929 cells

description: Representative image at 20x magnification of L929 cells following 24 h of treatment with chitosan derivatives: chitosan dissolved in carbonic acid, chitosan dissolved in carbonic acid endotoxin free, chitosan dissolved in hydroacetic acid at 1:3 diluent factor. The scale bar is 100 µm; Microscope Olympus IX83, Tokyo, Japan).
DOI: 10.34808/pydv-wg72
title: MODALITY corpus - SPEAKER 01 - 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 01:
sex: man
native speaker: no
age: 27
The test material: COMMANDS C5
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 01) 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.5619797
title: Table S1. Uncorrected p distance matrix

description: Uncorrected p distance values for combined COI and 16S sequences from phylogenetic analysis of <em>Helminthoglypta</em> land snails (Mollusca: Gastropoda: Helminthoglyptidae) from northern California and southern Oregon, USA. Note: Specimen numbers marked with * were missing COI sequences. Table in both Excel (*.xlsx) and comma-separated value (*.csv) formats.
description: Funding: US Bureau of Land Management - 1422H952-P98-4275
DOI: 10.5281/zenodo.5619796
title: Table S1. Uncorrected p distance matrix

description: Uncorrected p distance values for combined COI and 16S sequences from phylogenetic analysis of <em>Helminthoglypta</em> land snails (Mollusca: Gastropoda: Helminthoglyptidae) from northern California and southern Oregon, USA. Note: Specimen numbers marked with * were missing COI sequences. Table in both Excel (*.xlsx) and comma-separated value (*.csv) formats.
description: Funding: US Bureau of Land Management - 1422H952-P98-4275
DOI: 10.6084/m9.figshare.16832560.v1
title: Fluid-driven transport of round sediment particles: from discrete simulations to continuum modeling

description: Data from DEM-LBM simulations of round sediment particles and continuum models:-single_sphere: single sphere tests of DEM-LBM for validation-flume: DEM-LBM flume tests, compared with the corresponding experiments-wide_wall_free: DEM-LBM simulations, wide wall free cases-continuum: continuum modeling results-fluid_bc: pure fluid LBM tests to validate the boundary condition for the flume tests<br>
DOI: 10.6073/pasta/871766bf05aa43ddf8f265c74b820dfd
title: Soil phosphorus, litterfall mass, nitrogen and phosphorus in eight Puerto Rico forests affected by hurricanes Hugo, Bertha, Georges, Irma, and Maria.

description: Tropical cyclones are intensifying and occurring at higher latitudes in recent decades, but the mechanisms underpinning the resistance (ability to withstand disturbance-induced change) and resilience (pace of return to pre-disturbance reference values) of tropical forests to cyclones remains largely unexplored at the pantropical scale. We conducted a meta-analysis to investigate the role of soil resource availability (i.e., total soil phosphorus concentration) in mediating site-level forest canopy resistance and resilience to cyclones pan-tropically. We evaluated cyclone-induced and post-cyclone litterfall mass (g/m2/day), phosphorus (P) and nitrogen (N) fluxes (mg/m2/day), as well as concentrations (mg/g) across 73 case studies in Australia, Guadeloupe, Hawaii, Mexico, Puerto Rico, and Taiwan (Bomfim et al., in review). This dataset includes information related to 42 case studies in eight Puerto Rico forests affected by hurricanes Hugo, Bertha, Georges, Irma, and Maria between 1989 and 2017. This dataset also includes data for the canopy trimming experiment (CTE) in El Verde. - The compiled Litterfall Mass and Nitrogen and Phosphorus Flux and Concentration data from natural forest ecosystems across Puerto Rico prior to and after eight hurricanes are provided in Forest-Soil-Litterfall-Hurricane_Puerto-Rico.csv. This data file also includes site location, geographical characteristics, elevation, soil phosphorus concentration, geology, and several variables related to each hurricane disturbance.
DOI: 10.5281/zenodo.5619826
title: UOC-Webscraping

description: Immobles en venda o lloguer a Andorra
DOI: 10.34703/gzx1-9v95/1xwpkp/las75p
title: LS8_TIRS1_TempF_2021.zip

description: :unav
DOI: 10.34703/gzx1-9v95/1xwpkp
title: Surface Temperature in Degree Fahrenheit for the Urban Area in Miami-Dade County

description: This raster file is derived from Landsat 8 (Band 10 TIRS 1) data showing surface temperature in Degree Fahrenheit for the Urban Area in Miami-Dade County. The original resolution of 100m was resampled to 30m. The image was taken on Jan 5 2021. Funding for this project was provided by Miami-Dade County and American Forests.
DOI: 10.6073/pasta/cce85e7ac6ff272f4637869b0d888827
title: Gut Fluorescence measurements of mesozooplankton grazing on autotrophic prey. Samples collected in the CCE-LTER region on Process Cruises from 2006 to the present. Summaries for each Lagrangian Cycle.

description: Mesozooplankton are collected with plankton nets (typically a 71-cm diameter, 202-um mesh Bongo net) and samples flash frozen at sea in liquid N2 for subsequent shore-based measurements of ingested phytoplankton chlorophyll-a. Measurements of mesozooplankton gut fluorescence are done by fluorometric analysis on a Turner Designs fluorometer of gut pigments extracted in 90% acetone. Analyses are done on mesozooplankton size-fractionated into 5 different categories on Nitex mesh (&gt; 0.2 mm, 0.5 mm, 1.0 mm, 2.0 mm, 5.0 mm). The pigment content (as Chl-a and phaeopigments) is then expressed as mass of pigment ingested per m3 of water filtered, or divided by the dry weight biomass of the mesozooplankton in the same sample in order to obtain mass-specific ingestion per m3 of water. Application of published values of the temperature-dependent gut passage time are used to estimate the mesozooplankton grazing rate, as pigments ingested per m3 per unit time, or the corresponding mass-specific rate of ingestion. Samples for gut fluorescence assays have been collected on CCE-LTER Process Cruises since 2006 and these collections are ongoing.
DOI: 10.6084/m9.figshare.14769711
title: Metformin paper datasets

description: Datasets to accompany manuscript (Cory et al. Front Immunol 2021)<br>
DOI: 10.6084/m9.figshare.16906627.v1
title: readme.txt

description: Readme file to accompany data for Cory et al. Front Immunol 2021<br>
DOI: 10.6084/m9.figshare.16906627
title: readme.txt

description: Readme file to accompany data for Cory et al. Front Immunol 2021<br>
DOI: 10.21424/r4rh08
title: Direction Finding and Likelihood Ratio Detection for Oceanographic HF Radars: Dataset
DOI: 10.23641/asha.16869485
title: Frequency compression in bimodal CI users (Sharma et al., 2021)

description: Purpose: Speech understanding in noise and horizontal sound localization is poor in most cochlear implant (CI) users with a hearing aid (bimodal stimulation). This study investigated the effect of static and less-extreme adaptive frequency compression in hearing aids on spatial hearing. By means of frequency compression, we aimed to restore high-frequency audibility, and thus improve sound localization and spatial speech recognition.<b>Method:</b> Sound-detection thresholds, sound localization, and spatial speech recognition were measured in eight bimodal CI users, with and without frequency compression. We tested two compression algorithms: a static algorithm, which compressed frequencies beyond the compression knee point (160 or 480 Hz), and an adaptive algorithm, which aimed to compress only consonants leaving vowels unaffected (adaptive knee-point frequencies from 736 to 2946 Hz).<b>Results:</b> Compression yielded a strong audibility benefit (high-frequency thresholds improved by 40 and 24 dB for static and adaptive compression, respectively), no meaningful improvement in localization performance (errors remained &gt; 30 deg), and spatial speech recognition across all participants. Localization biases without compression (toward the hearing-aid and implant side for low- and high-frequency sounds, respectively) disappeared or reversed with compression. The audibility benefits provided to each bimodal user partially explained any individual improvements in localization performance; shifts in bias; and, for six out of eight participants, benefits in spatial speech recognition.<b>Conclusions: </b>We speculate that limiting factors such as a persistent hearing asymmetry and mismatch in spectral overlap prevent compression in bimodal users from improving sound localization. Therefore, the benefit in spatial release from masking by compression is likely due to a shift of attention to the ear with the better signal-to-noise ratio facilitated by compression, rather than an improved spatial selectivity.<br><b>Supplemental Material S1.</b> Individual audibility benefit (dB) for static and adaptive frequency compression and for different sound types. LP = low-pass; HP = high-pass; BB = broadband.<b><br></b><b>Supplemental Material S2. </b>Individual RMSE (deg) for sound localization with (static, adaptive) and without (no) frequency compression and for different sound types. LP = low-pass; HP = high-pass; BB = broadband.<br><b>Supplemental Material S3. </b>Speech recognition thresholds (dB) for S0N0 condition with and without frequency compression and the corresponding spatial release from masking [SRM (dB)] for each participant. <br>Sharma, S., Nogueira, W., van Opstal, A. J., Chalupper, J., Mens, L. H. M., & van Wanrooij, M. M. (2021). Amount of frequency compression in bimodal cochlear implant users is a poor predictor for audibility and spatial hearing.<i> Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-20-00653