cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34808/e7t6-e502
title: MODALITY corpus - SPEAKER 17 - 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 17:
sex: woman
native speaker: no
age: 25
The test material: SEQUENCE S5
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 17) 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.
Unfortunately, visual features are not available due to technical difficulties during the registration process.
DOI: 10.34808/f547-6447
title: MODALITY corpus - SPEAKER 17 - 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 17:
sex: woman
native speaker: no
age: 25
The test material: COMMANDS C2
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 17) 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/cg0n-3e30
title: MODALITY corpus - SPEAKER 17 - 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 17:
sex: woman
native speaker: no
age: 25
The test material: SEQUENCE S6
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 17) 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.
Unfortunately, visual features are not available due to technical difficulties during the registration process.
DOI: 10.34808/s51a-z466
title: MODALITY corpus - SPEAKER 17 - 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 17:
sex: woman
native speaker: no
age: 25
The test material: SEQUENCE S3
All recordings for all speakers are available at http://www.modality-corpus.org/  Sample still from the corpus(SPEAKER 17) 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.
Unfortunately, visual features are not available due to technical difficulties during the registration process.
DOI: 10.34808/tkmf-3505
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 290 mA. Sample 82, run #2.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 2,7 V and discharged to 10 mV by constant current 290 mA.  Sample 82, experiment run #2.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 60 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.
DOI: 10.5281/zenodo.18683509
title: Methane Fire Emissions from GBBEPx (MODIS 2001-2023)

description: Daily fire emissions of methane from GBBEPx (MODIS 2001-2023).
DOI: 10.15468/dl.szqvmq
title: Occurrence Download

description: A dataset containing 46767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glossiphonia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 46767 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027631-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18683508
title: Methane Fire Emissions from GBBEPx (MODIS 2001-2023)

description: Daily fire emissions of methane from GBBEPx (MODIS 2001-2023).
DOI: 10.5281/zenodo.18683759
title: Model Simulation data  for "Eastern Pacific coastal warm bias as a key control on ENSO nonlinearity in climate models"

description: This dataset contains the model simulation data for flux correction experiments. "reference" means the simulation results without flux correction, and "fluxcorrection" means the simulation results with flux correction. This dataset contains two different variables, which are "sst" and "taux' (zonal wind stress)
DOI: 10.5281/zenodo.18683758
title: Model Simulation data  for "Eastern Pacific coastal warm bias as a key control on ENSO nonlinearity in climate models"

description: This dataset contains the model simulation data for flux correction experiments. "reference" means the simulation results without flux correction, and "fluxcorrection" means the simulation results with flux correction. This dataset contains two different variables, which are "sst" and "taux' (zonal wind stress)
DOI: 10.34808/d914-vp60
title: Gold nanocubic structures agglomeration when put on conductive surfaces

description: This dataset contains Dynamic EIS results obtained for the gold electrodes with non-functionalized gold nanocubes (AuNC) deposited at its surface. The deposition was the following: 2 uL of the solvent containing CTAB as the surfactant was put on the electrode and dried, the same procedure was applied 5 times. Afterward, the electrode was immersed in the electrolyte. The electrolyte was 0.1 M KCl with 1 mM ferrocyanides as the redox probe. The study show change of the impedance characteristic depending on the AuNC concentration, authors studied: 0, 10, 20, 30, 40 and 50 uL of AuNC. 
The Dynamic Electrochemical Impedance Spectroscopy (DEIS) measurement was carried out simultaneous to cyclic voltammetry (CV) scan in a wide polarization range. The results were obtained using the perturbation composed of the elementary signals with a frequency range between 3 and 24500 Hz. The studies were done using Autolab 302N potentiostat and 20 bit National Instruments measurement card. 
The detailed information about the experimental conditions is given in 51200_51200_test1.txt and tpi.txt files in each subfolder. The first possess the information about the frequencies used (first column, in Hz) and the amplitudes (last column, in V). The second file provides information about the conditions for each measurement: time (in s), potential (in V) and current (in A), respectively. Finally, the third file (zw.txt) provides the information about Z' and Z'' (in Ohms) for each point given in tpi.txt file.
DOI: 10.34808/7az2-yh28
title: Gold nanocubic structures agglomeration when put on conductive surfaces

description: This dataset contains SEM images of gold nanocubes (AuNC), which were deposited at the conductive Si wafer surface and dried. The deposition method, the solvent used and AuNC concentration have a significant influence on the homogeneous distribution and their agglomeration at the surface, further influencing the electrochemical characteristics of the electrodes operating with their use.  
The surfactant used was CTAB. The images are characterized with different surfactant concentration in the solvent: sample 1,2 - 1mM CTAB, 3 - 0.1 mM CTAB, 4 - 0.01 mM CTAB. The amount of used AuNC was 10 uL in each case. The volume of the solvent deposited at the surface was 5 mL. Label (A) means that sample was additionally washed with deionized water.



The topography analysis was investigated by scanning electron microscopy (FEI Quanta FEG 250) with an Everhart–Thornley secondary electron detector at an acceleration voltage of 20 kV.
DOI: 10.34808/by3n-gw02
title: Gold nanocubic structures agglomeration when put on conductive surfaces

description: This dataset contains SEM images of gold nanocubes (AuNC), which were deposited at the conductive Si wafer surface and dried. The deposition method, the solvent used and AuNC concentration have a significant influence on the homogeneous distribution and their agglomeration at the surface, further influencing the electrochemical characteristics of the electrodes operating with their use.  
The surfactant used was CTAB. The images are characterized with surfactant concentration 1 mM CTAB. The amount of used AuNC was 10 uL. The volume of the solvent deposited at the surface was 5 mL. Label (A) means that sample was additionally washed with deionized water.



The topography analysis was investigated by scanning electron microscopy (FEI Quanta FEG 250) with an Everhart–Thornley secondary electron detector at an acceleration voltage of 20 kV.
DOI: 10.34808/sr0r-8107
title: Gold nanocubic structures agglomeration when put on conductive surfaces

description: This dataset contains SEM images of gold nanocubes (AuNC), which were deposited at the conductive Si wafer surface and dried. The deposition method, the solvent used and AuNC concentration have a significant influence on the homogeneous distribution and their agglomeration at the surface, further influencing the electrochemical characteristics of the electrodes operating with their use.  
The surfactant used was CTAB. The images are characterized with different surfactant concentration in the solvent: sample 5 - 1mM CTAB, 6 - 0.1 mM CTAB, 7 - 0.01 mM CTAB, 8 - 0.001 mM CTAB. The amount of used AuNC was 10 uL in each case. The volume of the solvent deposited at the surface was 1 mL. Label (A) means that sample was additionally washed with deionized water.



The topography analysis was investigated by scanning electron microscopy (FEI Quanta FEG 250) with an Everhart–Thornley secondary electron detector at an acceleration voltage of 20 kV.
DOI: 10.34740/kaggle/dsv/14880456
title: Cat Breeds Images Dataset
DOI: 10.5281/zenodo.17344611
title: Supplementary material
DOI: 10.5281/zenodo.17344548
title: Supplementary material
DOI: 10.15472/namnhv
title: Colección Biológica del Caribe (CBC)

description: La Colección Biológica del Caribe (CBC) de la Universidad Simón Bolívar, alberga la diversidad de ejemplares de microorganismos y plantas provenientes de diferentes regiones, principalmente del Caribe Colombiano. Específicamente conserva aislados vivos de bacterias, hongos, microalgas, tejidos de plantas y ADN de plantas y microorganismos.Este recurso contiene 88 registros de especímenes de microorganismos y plantas, entre los que se encuentran Bacterias del filo Proteobacterias (Pseudomonadaceae y Burkholderiaceae) y Firmicutes (Bacillaceae y Paenibacillaceae). Plantas de las familias Lecythidaceae, Lentibulariacea y Malvaceae, los cuales han sido colectados a partir de muestras de suelo y material vegetal en los departamentos de Antioquia, Atlántico, Bolívar, Cesar, Córdoba, Cundinamarca, Guainía, La Guajira, Magdalena, Santander y Sucre. Los especímenes se agrupan en tres filos, tres clases, siete ordenes, siete familias, siete géneros y once especies los cuales han sido en su mayoría identificados a nivel de especie.
DOI: 10.15468/dl.ymytec
title: Occurrence Download

description: A dataset containing 2154980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ameiurus melas, Carpiodes carpio, Catostomus catostomus, Catostomus commersonii, Catostomus platyrhynchus, Chrosomus eos, Chrosomus neogaeus, Coregonus artedi, Coregonus clupeaformis, Cottus bairdii, Cottus ricei, Cottus, Couesius plumbeus, Culaea inconstans, Cycleptus elongatus, Cyprinus carpio, Esox lucius, Etheostoma exile, Hiodon alosoides, Hybognathus argyritis, Hybognathus hankinsoni, Hybognathus placitus, Ictalurus punctatus, Ictiobus bubalus, Ictiobus cyprinellus, Lepomis gibbosus, Lepomis macrochirus, Lota lota, Macrhybopsis gelida, Macrhybopsis meeki, Margariscus margarita, Micropterus dolomieu, Micropterus salmoides, Moxostoma macrolepidotum, Moxostoma macrolepidotum, Notemigonus crysoleucas, Notropis atherinoides, Notropis hudsonius, Noturus flavus, Oncorhynchus clarkii, Oncorhynchus mykiss, Oncorhynchus nerka, Osmerus mordax, Perca flavescens, Percopsis omiscomaycus, Pimephales promelas, Platygobio gracilis, Polyodon spathula, Pomoxis annularis, Pomoxis nigromaculatus, Prosopium williamsoni, Rhinichthys cataractae, Salmo trutta, Salvelinus, Sander, Sander canadensis, Sander vitreus, Scaphirhynchus albus, Thymallus arcticus)",
 "Geometry POLYGON ((-170 10, -50 10, -50 84, -170 84, -170 10))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2154980 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027576-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2q39dk
title: CCDC 2505618: Experimental Crystal Structure Determination

description: Related Article: Aleksandr Koronatov, Pavel Sakharov, Alexander Kaushansky, Natalia Fridman, Peter R. Schreiner, Mark Gandelman
|2026|ChemRxiv|||doi:10.26434/chemrxiv-2026-18cn1
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2q39fl
title: CCDC 2505619: Experimental Crystal Structure Determination

description: Related Article: Aleksandr Koronatov, Pavel Sakharov, Alexander Kaushansky, Natalia Fridman, Peter R. Schreiner, Mark Gandelman
|2026|ChemRxiv|||doi:10.26434/chemrxiv-2026-18cn1
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2q39gm
title: CCDC 2505620: Experimental Crystal Structure Determination

description: Related Article: Aleksandr Koronatov, Pavel Sakharov, Alexander Kaushansky, Natalia Fridman, Peter R. Schreiner, Mark Gandelman
|2026|ChemRxiv|||doi:10.26434/chemrxiv-2026-18cn1
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.