cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15486643
title: Bi-Modal Emotion Recognition Dataset (RAVDESS + SAVEE + CREMA-D)

description: This dataset is a visual (audio-video) resource created for bimodal emotion recognition. It is compiled from three major sources:



CREMA-D (Crowd-sourced Emotional Multimodal Actors Dataset)

RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song)

SAVEE (Surrey Audio-Visual Expressed Emotion)


By integrating these databases, a comprehensive and diverse dataset was developed to improve the accuracy of bimodal emotion recognition systems. The resulting dataset includes audio-visual recordings of 119 actors (64 males and 55 females) representing various ethnic backgrounds and age groups. Initially, the dataset comprised 11,956 samples (6,371 from male actors and 5,585 from female actors) across seven emotion categories: Angry, Sad, Happy, Fearful, Surprised, Disgust, and Neutral.

However, the dataset exhibited class imbalance, with certain emotions like "Surprised" being underrepresented. To address this imbalance, and to introduce natural variations in expression, data augmentation techniques were applied. This involved randomly selecting, duplicating, and modifying video samples from each class using methods such as pitch shifting and speed alteration. As a result, the dataset became class-balanced, containing a total of 14,257 files (7,482 from male and 6,775 from female actors).

This extensive and diverse dataset improves real-world relevance by encompassing a wide range of actors, emotional expressions, ethnic diversity, and gender representation. It significantly strengthens the generalizability and robustness of emotion recognition models in practical applications.

Insight of the Dataset




 
            train
                val
               test
            Total


       Total Files
10013 (5106 for Male, 4907 for Female)
2851 (1491 for Male, 1360 for Female)
1393 (880 for Male, 513 for Female)
14257 (7477 for Male, 6780 for Female)


       Total Actors
83 Actors (43 Male, 40 Female)
24 Actors (13 Male, 11 Female)
12 Actors (8 Male, 4 Female)
119 Actors (64 Male, 55 Female)




 

Classwise Insights (Total Files)



Training set





 
Angry
Disgust
Fearful
Happy
Neutral
Sad
Surprised


Male
765
705
772
777
703
768
616


Female
727
699
742
746
657
735
601


Total
1492
1404
1514
1523
1360
1503
1217






Validation set





 
Angry
Disgust
Fearful
Happy
Neutral
Sad
Surprised


Male
224
211
219
224
211
219
183


Female
203
190
198
203
190
198
178


Total
427
401
417
427
401
417
361






Testing set





 
Angry
Disgust
Fearful
Happy
Neutral
Sad
Surprised


Male
131
125
131
131
129
131
102


Female
74
67
74
74
62
74
88


Total
205
192
205
205
191
205
190




 

Overall




 
Angry
Disgust
Fearful
Happy
Neutral
Sad
Surprised


Male
1120
1041
1122
1132
1043
1118
901


Female
1004
956
1014
1023
909
1007
867


Total
2124
1997
2136
2155
1952
2125
1768
DOI: 10.5281/zenodo.15486644
title: Bi-Modal Emotion Recognition Dataset (RAVDESS + SAVEE + CREMA-D)

description: This dataset is a visual (audio-video) resource created for bimodal emotion recognition. It is compiled from three major sources:



CREMA-D (Crowd-sourced Emotional Multimodal Actors Dataset)

RAVDESS (Ryerson Audio-Visual Database of Emotional Speech and Song)

SAVEE (Surrey Audio-Visual Expressed Emotion)


By integrating these databases, a comprehensive and diverse dataset was developed to improve the accuracy of bimodal emotion recognition systems. The resulting dataset includes audio-visual recordings of 119 actors (64 males and 55 females) representing various ethnic backgrounds and age groups. Initially, the dataset comprised 11,956 samples (6,371 from male actors and 5,585 from female actors) across seven emotion categories: Angry, Sad, Happy, Fearful, Surprised, Disgust, and Neutral.

However, the dataset exhibited class imbalance, with certain emotions like "Surprised" being underrepresented. To address this imbalance, and to introduce natural variations in expression, data augmentation techniques were applied. This involved randomly selecting, duplicating, and modifying video samples from each class using methods such as pitch shifting and speed alteration. As a result, the dataset became class-balanced, containing a total of 14,257 files (7,482 from male and 6,775 from female actors).

This extensive and diverse dataset improves real-world relevance by encompassing a wide range of actors, emotional expressions, ethnic diversity, and gender representation. It significantly strengthens the generalizability and robustness of emotion recognition models in practical applications.

Insight of the Dataset




 
            train
                val
               test
            Total


       Total Files
10013 (5106 for Male, 4907 for Female)
2851 (1491 for Male, 1360 for Female)
1393 (880 for Male, 513 for Female)
14257 (7477 for Male, 6780 for Female)


       Total Actors
83 Actors (43 Male, 40 Female)
24 Actors (13 Male, 11 Female)
12 Actors (8 Male, 4 Female)
119 Actors (64 Male, 55 Female)




 

Classwise Insights (Total Files)



Training set





 
Angry
Disgust
Fearful
Happy
Neutral
Sad
Surprised


Male
765
705
772
777
703
768
616


Female
727
699
742
746
657
735
601


Total
1492
1404
1514
1523
1360
1503
1217






Validation set





 
Angry
Disgust
Fearful
Happy
Neutral
Sad
Surprised


Male
224
211
219
224
211
219
183


Female
203
190
198
203
190
198
178


Total
427
401
417
427
401
417
361






Testing set





 
Angry
Disgust
Fearful
Happy
Neutral
Sad
Surprised


Male
131
125
131
131
129
131
102


Female
74
67
74
74
62
74
88


Total
205
192
205
205
191
205
190




 

Overall




 
Angry
Disgust
Fearful
Happy
Neutral
Sad
Surprised


Male
1120
1041
1122
1132
1043
1118
901


Female
1004
956
1014
1023
909
1007
867


Total
2124
1997
2136
2155
1952
2125
1768
DOI: 10.3886/e241783v1
title: Makurdi College Of Nursing Sciences 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241782v1
title: Benue State School of Nursing Makurdi 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241784v1
title: Cross River State School of Nursing, Calabar 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241779v1
title: Aliko Dangote College Of Nursing Sciences, Bauchi 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241778v1
title: Nnamdi Azikiwe University Teaching Hospital 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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title: Bayelsa State School of Nursing and Midwifery, Tombia 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241821v1
title: Irrua Specialist Hospital, Irrua 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.15468/rk2azr
title: Morphological and molecular analyses revealed four new wood-inhabiting fungal species (Hymenochaetales, Basidiomycota) from Yunnan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Deng, Yinglian, Chen, Meng, Liu, Linfeng, Li, Qizhen, Zhang, Sicheng, Yuan, Haisheng, Zhao, Changlin (2025): Morphological and molecular analyses revealed four new wood-inhabiting fungal species (Hymenochaetales, Basidiomycota) from Yunnan. MycoKeys 117: 29-66, DOI: 10.3897/mycokeys.117.146236AbstractHymenochaetales is one of the fungal orders mainly composed of wood-inhabiting macrofungi within the class Agaricomycetes, Basidiomycota. Four new Hymenochaetales wood-inhabiting fungi, Hymenochaete bannaensis, Lyomyces asiaticus, Peniophorella albohymenia, and P. punctata collected from China are proposed based on morphological characteristics and molecular evidence. H. bannaensis is distinguished by flocculent basidiomata with cinnamon to yellowish brown to rust-brown hymenial surface, generative hyphae with simple septa and broadly ellipsoid to globose basidiospores. L. asiaticus is characterized by the membranaceous basidiomata with white to cream hymenial surface with tuberculate, a monomitic hyphal system with clamped generative hyphae and ellipsoid basidiospores. In addition, P. albohymenia is delimited by membranaceous basidiomata with white hymenial surface, four types of cystidia as stephanocyst, fusiform, cylindrical and capitate, and ellipsoid basidiospores. P. punctata is unique in the membranaceous, punctate basidiomata with white to pale yellow hymenial surface, fusiform cystidia, and allantoid basidiospores. Sequences of ITS and nLSU rRNA markers based on phylogenetic analyses were performed using the Maximum Likelihood, Maximum Parsimony and Bayesian Inference methods.
DOI: 10.3886/e241819v1
title: Ebonyi State School of Nursing Mater Misericordiae Hospital Afikpo 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241820v1
title: University of Benin Teaching Hospital (UBTH) 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241818v1
title: School of Nursing, Eku 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.5281/zenodo.17899530
title: Research Data for the Spectroscopic Ellipsometry Characterization of Bismuth-Based Perovskite-Inspired Materials

description: Research data related to an article "Spectroscopic Ellipsometry Characterization and Radiative Limit Modeling of Bismuth-Based Perovskite-Inspired Absorbers for Indoor Photovoltaics" published in Advanced Optical Materials
DOI: 10.5281/zenodo.17899531
title: Research Data for the Spectroscopic Ellipsometry Characterization of Bismuth-Based Perovskite-Inspired Materials

description: Research data related to an article "Spectroscopic Ellipsometry Characterization and Radiative Limit Modeling of Bismuth-Based Perovskite-Inspired Absorbers for Indoor Photovoltaics" published in Advanced Optical Materials
DOI: 10.3886/e241822v1
title: Federal Teaching hospital Ido-Ekiti 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: Federal Teaching hospital Ido-Ekiti 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542
DOI: 10.15468/4d5gns
title: Two new species of Nigropunctata and the first report of sexual morph of Melanographium citri (Pallidoperidiaceae, Xylariales) from south-western China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lu, Chang-Tao, Ren, Yu-Lin, Habib, Kamran, Zhang, Qin-Fang, Liu, Li-Li, Kang, Ji-Chuan, Shen, Xiang-Chun, Wijayawardene, Nalin N., Al-Rejaie, Salim S., Loinheuang, Chanhom, Li, Qi-Rui, Long, Qing-De, Elgorban, Abdallah M. (2025): Two new species of Nigropunctata and the first report of sexual morph of Melanographium citri (Pallidoperidiaceae, Xylariales) from south-western China. MycoKeys 122: 257-275, DOI: 10.3897/mycokeys.122.161215AbstractIn our ongoing survey of xylarialean fungi in southern China, we obtained specimens of Nigropunctata and Melanographium from bamboo and palm, respectively. Maximum Likelihood and Bayesian Inference analyses, based on five loci (ITS, LSU, rpb 2, tub 2 and tef- 1 α), were used to clarify the taxonomic placement of these specimens. Our results confirm that the specimens represent two new species Nigropunctata shiwandashanensis and N. puerzhenensis, as well as a new geographical record, Melanographium citri, which represents the first report of the sexual state for this genus. We provide detailed morphological descriptions and illustrations, as well as a comparison between the new species and related or similar species.
DOI: 10.3886/e241994
title: Archbishop Charles Heerey College of Nursing Sciences, Aba, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110) For More Details On How To Apply And Register Online.

description: Archbishop Charles Heerey College of Nursing Sciences, Aba, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110) For More Details On How To Apply And Register Online. The Management Of The School Hereby Inform The general Public On The Sales Of The General Nursing Admission Form Into The School Of Nursing, And Also The Sales Of Two (2) Years Post Basic Nursing Program. Contact The Educational Board Admin On (08058556110) For More Details On How To Purchase The Form And Register Online. REQUIREMENT FOR THE THREE YEARS GENERAL NURSING PROGRAMMES1. GENERAL NURSING PROGRAMME Admission Requirements Candidates For Admission Into The General Nursing Program Of The Nursing And Midwifery Council Of Nigeria Must Posses The Senior Secondary School Certificate Or It's Equivalent With Five Credits To Include English Language And Either Physics, Chemistry, Biology/Health Science At Not More Than Two sittings. Duration Of Training: Three Calendar Years. Registered Nurse (RN) Also POST BASIC NURSING MIDWIFERY PROGRAMME Admission Requirements: The Candidate Must Be a Registered Nurse, Five (O,Level) Credits Not More Two Sittings And Must Also Meet All institutional Requirements. Duration of Training: Two Calendar *Year*.{08058556110}
DOI: 10.15468/dl.46amy7
title: Occurrence Download

description: A dataset containing 136382447 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 136382447 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068735-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/w7w4nm
title: Xylochironomus Cranston newly recorded in the Oriental region (Diptera, Chironomidae), with description of three new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Liu, Shutang, Tang, Hongqu (2025): Xylochironomus Cranston newly recorded in the Oriental region (Diptera, Chironomidae), with description of three new species. ZooKeys 1257: 127-135, DOI: 10.3897/zookeys.1257.163285AbstractThree new species of Xylochironomus Cranston are described here based on adult males from the Oriental region, specifically from South China and East Malaysia. The generic diagnosis for the adult male is emended, and a key to the males of known species is provided. This is the first formal record of Xylochironomus from the Oriental region, and indeed the first occurrence outside the Australian region, providing another representative in the Gondwana biogeographic clade.
DOI: 10.25574/29481
title: Chandra X-ray Observatory ObsId 29481

description: X-ray observations of the southern part of a complete sample of extragalactic radio sources
DOI: 10.15468/dl.36vkp6
title: Occurrence Download

description: A dataset containing 1590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "DatasetKey is Mammals Specimens",
 "TaxonKey is Rodentia",
 "Year 1990-1991"
 ]
}

 The dataset includes 1590 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068741-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5jmce
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lithobates forreri",
 "Year 2015-2025"
 ]
}

 The dataset includes 187 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068742-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e241824v1
title: Bishop Shanahan Hospital Nsukka 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241826v1
title: National Orthopaedic Hospital, Enugu 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241827v1
title: Gombe State College of Nursing Gombe 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241828v1
title: Imo State College of Nursing Sciences St Mary's Joint Hospital Amaigbo 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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title: Imo State College of Health and Management Sciences Amaigbo 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: <b>Imo State College of Health and Management Sciences Amaigbo 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542</b>
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DOI: 10.3886/e241823v1
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title: National Orthopaedic Hospital, Enugu 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241831v1
title: Imo State College of Nursing Holy Rosary Hospital, Emekuku 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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title: Imo State College of Nursing Sciences Mbano 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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title: Imo State School of Nursing Umulogho, Obowu 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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title: Jigawa State College of Nursing Birnin Kudu 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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title: Kaduna State College Of Nursing, Kafanchan 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

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DOI: 10.3886/e241836v1
title: Kaduna State School Of Nursing Wusasa 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542

description: Kaduna State School Of Nursing Wusasa 2026/2027 Admission Form Is On Sale.Call 07076040542 To Apply and further admission assistance. Call Admin +2347076040542