cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.m8n9qj
title: Occurrence Download

description: A dataset containing 140832 species occurrences available in GBIF matching the query:
(Query is too complex. Can be viewed on the landing page)

 The dataset includes 140832 records from 456 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0391129-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbfy9t
title: Occurrence Download

description: A dataset containing 2345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agave utahensis Engelm., Juniperus erythrocarpa Cory, 1936)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1981"
 ]
}

 The dataset includes 2345 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035388-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fdvau
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptychadena oxyrhynchus (Smith, 1849)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035389-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14214058
title: TDP-43 nuclear loss in FTD/ALS causes widespread alternative polyadenylation changes

description: In frontotemporal dementia and amyotrophic lateral sclerosis, the RNA-binding protein TDP-43 is depleted from the nucleus. TDP-43 loss leads to cryptic exon inclusion but a role in other RNA processing events remains unresolved. Here, we show that loss of TDP-43 causes widespread changes in alternative polyadenylation, impacting expression of disease-relevant genes (e.g., SFPQ, NEFL, and TMEM106B) and providing evidence that alternative polyadenylation is a new facet of TDP-43 pathology.
DOI: 10.5281/zenodo.14214059
title: TDP-43 nuclear loss in FTD/ALS causes widespread alternative polyadenylation changes

description: In frontotemporal dementia and amyotrophic lateral sclerosis, the RNA-binding protein TDP-43 is depleted from the nucleus. TDP-43 loss leads to cryptic exon inclusion but a role in other RNA processing events remains unresolved. Here, we show that loss of TDP-43 causes widespread changes in alternative polyadenylation, impacting expression of disease-relevant genes (e.g., SFPQ, NEFL, and TMEM106B) and providing evidence that alternative polyadenylation is a new facet of TDP-43 pathology.
DOI: 10.5281/zenodo.15637268
title: TDP-43 nuclear loss in FTD/ALS causes widespread alternative polyadenylation changes

description: In frontotemporal dementia and amyotrophic lateral sclerosis, the RNA-binding protein TDP-43 is depleted from the nucleus. TDP-43 loss leads to cryptic exon inclusion but a role in other RNA processing events remains unresolved. Here, we show that loss of TDP-43 causes widespread changes in alternative polyadenylation, impacting expression of disease-relevant genes (e.g., SFPQ, NEFL, and TMEM106B) and providing evidence that alternative polyadenylation is a new facet of TDP-43 pathology.
DOI: 10.6084/m9.figshare.28151138
title: <b>Chromosome-level genome assembly of the halophytic grass </b><b><i>Zoysia macrostachya</i></b>

description: <i>Z. macrostachya</i> (ZN3169) was used in this study, collected by the Forest Biomaterials Research Center, National Institute of Forest Science, from Seonyu Island, Gunsan-si, Jeonbuk-do, Republic of Korea.<i>Zoysia macrostachya</i> Franch. & Sav. is a halophytic perennial grass species in the Poaceae family, commonly found in the coastal regions of Korea, Japan, and East Asia. <i>Z. macrostachya</i> thrives in high-salinity environments, making it an excellent model for studying abiotic stress resilience. In this study, we present a Chromosome-level genome assembly of <i>Z. macrostachya</i>, constructed using Oxford Nanopore long reads, Illumina short reads, and Omni-C sequencing data. The assembly spans 329.78 Mb across 20 chromosomes, with a scaffold N50 of 19.24 Mb, and includes complete telomeric sequences at both ends. The assembly showed 97.8% complete BUSCOs, indicating high genome completeness. Repeat element analysis identified 44.03% of the genome as repetitive sequences, with long terminal repeats (LTRs) being the most abundant (21.09%). Gene annotation revealed 33,474 protein-coding genes, with 97.1% complete BUSCOs and 86.92% functionally characterized based on Swiss-Prot and eggNOG databases. Macrosynteny analysis highlighted highly collinear relationships with related species, providing a foundational understanding of the <i>Z. macrostachya</i> genomic structure. This high-quality genome assembly serves as a valuable resource for advancing salinity tolerance research and improving the genetic diversity of turfgrass species.<br>
DOI: 10.6084/m9.figshare.28151138.v3
title: <b>Chromosome-level genome assembly of the halophytic grass </b><b><i>Zoysia macrostachya</i></b>

description: <i>Z. macrostachya</i> (ZN3169) was used in this study, collected by the Forest Biomaterials Research Center, National Institute of Forest Science, from Seonyu Island, Gunsan-si, Jeonbuk-do, Republic of Korea.<i>Zoysia macrostachya</i> Franch. & Sav. is a halophytic perennial grass species in the Poaceae family, commonly found in the coastal regions of Korea, Japan, and East Asia. <i>Z. macrostachya</i> thrives in high-salinity environments, making it an excellent model for studying abiotic stress resilience. In this study, we present a Chromosome-level genome assembly of <i>Z. macrostachya</i>, constructed using Oxford Nanopore long reads, Illumina short reads, and Omni-C sequencing data. The assembly spans 329.78 Mb across 20 chromosomes, with a scaffold N50 of 19.24 Mb, and includes complete telomeric sequences at both ends. The assembly showed 97.8% complete BUSCOs, indicating high genome completeness. Repeat element analysis identified 44.03% of the genome as repetitive sequences, with long terminal repeats (LTRs) being the most abundant (21.09%). Gene annotation revealed 33,474 protein-coding genes, with 97.1% complete BUSCOs and 86.92% functionally characterized based on Swiss-Prot and eggNOG databases. Macrosynteny analysis highlighted highly collinear relationships with related species, providing a foundational understanding of the <i>Z. macrostachya</i> genomic structure. This high-quality genome assembly serves as a valuable resource for advancing salinity tolerance research and improving the genetic diversity of turfgrass species.<br>
DOI: 10.6084/m9.figshare.28151138.v2
title: <b>Telomere-to-Telomere genome assembly of the halophytic grass </b><b><i>Zoysia macrostachya</i></b>

description: <i>Z. macrostachya</i> (ZN3169) was used in this study, collected by the Forest Biomaterials Research Center, National Institute of Forest Science, from Seonyu Island, Gunsan-si, Jeonbuk-do, Republic of Korea. <i>Zoysia macrostachya</i> Franch. & Sav. is a halophytic perennial grass species in the Poaceae family, commonly found in the coastal regions of Korea, Japan, and East Asia. <i>Z. macrostachya</i> thrives in high-salinity environments, making it an excellent model for studying abiotic stress resilience. In this study, we present a telomere-to-telomere (T2T) genome assembly of <i>Z. macrostachya</i>, constructed using Oxford Nanopore long reads, Illumina short reads, and Omni-C sequencing data. The assembly spans 329.78 Mb across 20 chromosomes, with a scaffold N50 of 19.24 Mb, and includes complete telomeric sequences at both ends. The assembly showed 97.8% complete BUSCOs, indicating high genome completeness. Repeat element analysis identified 44.03% of the genome as repetitive sequences, with long terminal repeats (LTRs) being the most abundant (21.09%). Gene annotation revealed 33,474 protein-coding genes, with 97.1% complete BUSCOs and 86.92% functionally characterized based on Swiss-Prot and eggNOG databases. Macrosynteny analysis highlighted highly collinear relationships with related species, providing a foundational understanding of the <i>Z. macrostachya</i> genomic structure. This high-quality genome assembly serves as a valuable resource for advancing salinity tolerance research and improving the genetic diversity of turfgrass species.<br>
DOI: 10.5281/zenodo.15068894
title: A Multidimensional Dataset of Student Gaming Behavior and Academic Correlates in Bangladesh

description: This dataset comprises anonymized survey responses from 1,061 university students in Bangladesh, collected between March and April 2023. The igd_responses_raw file contains all 1,061 original entries, while the igd_data file includes a cleaned subset of 989 samples. It captures:





Gaming Habits: Platform preference (Mobile/PC), average daily gaming time, age of gaming initiation, stress relief usage, and emotional responses to gaming.




Academic Metrics: Current CGPA, Higher Secondary results, morning class attendance.




Demographics & Lifestyle: Age, gender, sleep duration, newspaper reading habits, eyewear usage, and social/family time.




Emotional/Physical Responses: Feelings when unable to play, fatigue levels.



Collection Methodology:





Survey Design: Validated by psychology and gaming experts.




Recruitment: Convenience sampling via email/social media across nine Bangladeshi universities.



Processing:





Cleaning: Missing values imputed (mean for numerical, mode for categorical), outliers capped at the 95th percentile.




Transformation: Normalization (min-max), standardization (z-score), and encoding (label/one-hot) for machine learning compatibility.



Usage:





Applications: Study gaming-academic correlations, mental health impacts, or cultural trends in the Global South.




Limitations: Self-reported data; excludes validated IGD psychometric scales.
DOI: 10.5281/zenodo.15068893
title: A Multidimensional Dataset of Student Gaming Behavior and Academic Correlates in Bangladesh

description: This dataset comprises anonymized survey responses from 1,061 university students in Bangladesh, collected between March and April 2023. The igd_responses_raw file contains all 1,061 original entries, while the igd_data file includes a cleaned subset of 989 samples. The train.csv file contains 791 samples, while the test.csv file includes 198 samples. It captures:





Gaming Habits: Platform preference (Mobile/PC), average daily gaming time, age of gaming initiation, stress relief usage, and emotional responses to gaming.




Academic Metrics: Current CGPA, Higher Secondary results, morning class attendance.




Demographics & Lifestyle: Age, gender, sleep duration, newspaper reading habits, eyewear usage, and social/family time.




Emotional/Physical Responses: Feelings when unable to play, fatigue levels.



Collection Methodology:





Survey Design: Validated by psychology and gaming experts.




Recruitment: Convenience sampling via email/social media across nine Bangladeshi universities.



Processing:





Cleaning: Missing values imputed (mean for numerical, mode for categorical), outliers capped at the 95th percentile.




Transformation: Normalization (min-max), standardization (z-score), and encoding (label/one-hot) for machine learning compatibility.



Usage:





Applications: Study gaming-academic correlations, mental health impacts, or cultural trends in the Global South.




Limitations: Self-reported data; excludes validated IGD psychometric scales.
DOI: 10.5281/zenodo.15633261
title: A Multidimensional Dataset of Student Gaming Behavior and Academic Correlates in Bangladesh

description: This dataset comprises anonymized survey responses from 1,061 university students in Bangladesh, collected between March and April 2023. The igd_responses_raw file contains all 1,061 original entries, while the igd_data file includes a cleaned subset of 989 samples. The train.csv file contains 791 samples, while the test.csv file includes 198 samples. It captures:





Gaming Habits: Platform preference (Mobile/PC), average daily gaming time, age of gaming initiation, stress relief usage, and emotional responses to gaming.




Academic Metrics: Current CGPA, Higher Secondary results, morning class attendance.




Demographics & Lifestyle: Age, gender, sleep duration, newspaper reading habits, eyewear usage, and social/family time.




Emotional/Physical Responses: Feelings when unable to play, fatigue levels.



Collection Methodology:





Survey Design: Validated by psychology and gaming experts.




Recruitment: Convenience sampling via email/social media across nine Bangladeshi universities.



Processing:





Cleaning: Missing values imputed (mean for numerical, mode for categorical), outliers capped at the 95th percentile.




Transformation: Normalization (min-max), standardization (z-score), and encoding (label/one-hot) for machine learning compatibility.



Usage:





Applications: Study gaming-academic correlations, mental health impacts, or cultural trends in the Global South.




Limitations: Self-reported data; excludes validated IGD psychometric scales.
DOI: 10.15468/dl.6j2tnx
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (India, China, Myanmar, Nepal, Bhutan, Bangladesh, Pakistan, Afghanistan)",
 "TaxonKey is Gandaca harina (Horsfield, 1829)"
 ]
}

 The dataset includes 187 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035390-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nr6fsz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptychadena oxyrhynchus (Smith, 1849)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035391-250525065834625/datasets/export for details.
DOI: 10.15468/dl.kyxzre
title: Occurrence Download

description: A dataset containing 4823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cladonia rangiferina (L.) Weber ex F.H.Wigg.",
 "Country is Norway"
 ]
}

 The dataset includes 4823 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035392-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqvu82
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptychadena oxyrhynchus (Smith, 1849)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035393-250525065834625/datasets/export for details.
DOI: 10.15468/dl.9atmx7
title: Occurrence Download

description: A dataset containing 1210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.82498726684002 48.6012921327901, 16.838249658067596 48.697921899709435, 16.693292286577226 48.70675499388948, 16.680307030440222 48.610105540977784, 16.82498726684002 48.6012921327901))"
 ]
}

 The dataset includes 1210 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035394-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/0r80-vk68
title: "Panoramic multi-view image datasets for bullet-time video synthesis"

description: "Bullet-time video, a significant application of free-viewpoint video technology, offers an immersive viewing experience by allowing the camera viewpoint to switch along the camera array orbit. This technology is widely used in film, television, and broadcasting. However, current bullet-time videos are generated by perspective cameras with a limited field of view (FoV), which narrows the common FoV of the camera array. This limitation can reduce target selection interactivity and result in low immersion for the produced bullet-time video. To address these limitations, we propose using multiple 360\u00b0 panoramic cameras to construct a panoramic camera array for bullet-time video synthesis. The panoramic camera array enables complete coverage of the scene and introduces additional rotational degrees of freedom (DoF). Using the panoramic camera array, we propose a bullet-time video synthesis method based on the target axis to enhance the smoothness of the bullet-time video. This is achieved by maintaining the position, direction, and size of the target axis stable in the output bullet-time video frame. In addition, we propose a novel interactive high-dimensional bullet-time video synthesis system. The system incorporates a comprehensive pipeline that includes modules for panoramic video capture, panoramic camera array calibration, panoramic video codec, and bullet-time video synthesis. In our system, users can interactively select any target in the full scene and enjoy higher-DoF immersive bullet-time videos in real-time on lightweight devices like laptops. Qualitative and quantitative evaluations on simulated and real datasets demonstrate that our method outperforms state-of-the-art methods. In addition, our system was demonstrated at the 2023 Hangzhou Asian Games."
DOI: 10.15468/dl.kr4cse
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptychadena oxyrhynchus (Smith, 1849)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -28.5786,20.509 -28.5786,20.509 -32.9007,25.5395 -32.9007,25.5395 -28.5786))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035395-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tejjjg
title: Occurrence Download

description: A dataset containing 4823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cladonia rangiferina (L.) Weber ex F.H.Wigg.",
 "Country is Norway"
 ]
}

 The dataset includes 4823 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035396-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/vm57-tp63
title: "SA places reviews "

description: "Sentiment analysis is a rapidly evolving technique to verify the emotional tone, especially for text analysis reviews. Studies on Arabic sentiment analysis are sparse, particularly about the Saudi tourist industry. This research aims to improve the standard of tourism and tourist experiences in Saudi Arabia and help achieve the Saudi Vision 2030 goals. One of these goals is to stimulate economic growth by improving tourism-related commerce, as Saudi Arabia is increasingly becoming a tourist destination for foreign travelers. This paper employs sentiment analysis of tourist experiences in places recognized as popular attractions by the Saudi Tourist Ministry. Arabic-language tourist reviews of Boulevard Riyadh City, Al-Ula Old Town, the Al-Balad district in Jeddah, the Heritage Village in Dammam, and the Al-Hada cable car from Google Maps are collected, and the sentiment of the reviews is classified as positive, negative, or neutral. Textual representation techniques used in the model word embedding are AraVec, Arbert, Qarib, and Marbert. Moreover, different baseline models, such as Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), Decision Tree (DT), and deep learning models such as Bidirectional Long Short-Term Memory (BLSTM), Recurrent Neural Network (RNN), and Convolutional Neural Network (CNN) as transformer-based classification (Arabert, Arbert, Marbert, and Qarib), were implemented to predict sentiment. Various optimizations, such as accuracy, precision, recall, F1 score, and the Accuracy Under Constrained (AUC), evaluate the models\u2019 performance. The results demonstrate that Qarib achieves the promised super performance in all data situations. Meanwhile, the Convolutional Neural Network model performs better using classic and contextual embeddings."
DOI: 10.15468/dl.nqfu6d
title: Occurrence Download

description: A dataset containing 2811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasCoordinate is TRUE",
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON ((-121.95770795458941 41.608556084111235, -122.33948205967296 41.56551723196343, -122.40139013372718 41.39780542330073, -122.21179126370515 41.23998804162665, -121.8782513841788 41.412618546571935, -121.95770795458941 41.608556084111235))"
 ]
}

 The dataset includes 2811 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035397-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xnzcz8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ptychadena oxyrhynchus (Smith, 1849)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035399-250525065834625/datasets/export for details.