cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.30368
title: Multimodal Sentiment Analysis Experimental Data (Processed MOSI/MOSEI Features & Splits)
title: 多模态情感分析实验数据（MOSI/MOSEI处理后特征与划分）

description: [Overview]This release targets reproducible experiments for multimodal sentiment/emotion analysis. It provides de-identified, aligned features and splits derived from the public CMU-MOSI / CMU-MOSEI datasets. No raw audio/video is included—only processed text/audio/vision features and labels for quick reproduction and evaluation.[Structure]data/ - train.zip, valid.zip, test.zip (each contains: text.csv, audio.npz, vision.npz, labels.csv)code-snippets/ (loading + alignment/aggregation examples)docs/ (README, compliance statement)[Features] (edit to match your actual data)- Text: GloVe/BERT sentence-level vectors or word-aligned aggregation- Audio: COVAREP/opensmile stats (frame → segment aggregation)- Vision: OpenFace/Facet features (frame → segment aggregation)- Labels: sentiment intensity or emotion classes following the originals[Usage]Unzip data/* and use code-snippets/load_examples.py. Works on CPU or PyTorch-DirectML on Windows (tested on AMD 780M).[License & Notice]Released under CC BY-NC 4.0 (non-commercial, with attribution). Original data and terms belong to CMU-MOSI/MOSEI; this release contains derived features only.
description: [Overview]This release targets reproducible experiments for multimodal sentiment/emotion analysis. It provides de-identified, aligned features and splits derived from the public CMU-MOSI / CMU-MOSEI datasets. No raw audio/video is included—only processed text/audio/vision features and labels for quick reproduction and evaluation.[Structure]data/ - train.zip, valid.zip, test.zip (each contains: text.csv, audio.npz, vision.npz, labels.csv)code-snippets/ (loading + alignment/aggregation examples)docs/ (README, compliance statement)[Features] (edit to match your actual data)- Text: GloVe/BERT sentence-level vectors or word-aligned aggregation- Audio: COVAREP/opensmile stats (frame → segment aggregation)- Vision: OpenFace/Facet features (frame → segment aggregation)- Labels: sentiment intensity or emotion classes following the originals[Usage]Unzip data/* and use code-snippets/load_examples.py. Works on CPU or PyTorch-DirectML on Windows (tested on AMD 780M).[License & Notice]Released under CC BY-NC 4.0 (non-commercial, with attribution). Original data and terms belong to CMU-MOSI/MOSEI; this release contains derived features only.
DOI: 10.57760/sciencedb.30270
title: MuSyQ SHG-LCC: A high-resolution global leaf chlorophyll content dataset derived from Sentinel-2 imagery(2020)
title: MuSyQ SHG-LCC:全球高分辨率叶片叶绿素含量产品(2020)

description: Leaf chlorophyll content (LCC) is a critical indicator of plant photosynthetic capacity and plays a key role in understanding the terrestrial carbon cycle. However, existing global LCC products, primarily derived from coarse-resolution remote sensing data, are unable to accurately capture the spatiotemporal variations of LCC in heterogeneous regions. Currently, high-resolution global LCC products remain limited, significantly constraining their application at fine scales. To address this gap, this dataset developed a high-resolution global LCC product (MuSyQ SHG-LCC) with 100-meter/10-day resolution from Sentinel-2 MSI data for the 2019-2023. The dataset was generated using the leaf-scale MERIS Terrestrial Chlorophyll Index (MTCIleaf), which effectively corrects for canopy structural effects on LCC retrieval. Validation results demonstrated that the dataset achieved high retrieval accuracy across various vegetation types, providing important data support for global carbon cycle and ecological research.
description: Leaf chlorophyll content (LCC) is a critical indicator of plant photosynthetic capacity and plays a key role in understanding the terrestrial carbon cycle. However, existing global LCC products, primarily derived from coarse-resolution remote sensing data, are unable to accurately capture the spatiotemporal variations of LCC in heterogeneous regions. Currently, high-resolution global LCC products remain limited, significantly constraining their application at fine scales. To address this gap, this dataset developed a high-resolution global LCC product (MuSyQ SHG-LCC) with 100-meter/10-day resolution from Sentinel-2 MSI data for the 2019-2023. The dataset was generated using the leaf-scale MERIS Terrestrial Chlorophyll Index (MTCIleaf), which effectively corrects for canopy structural effects on LCC retrieval. Validation results demonstrated that the dataset achieved high retrieval accuracy across various vegetation types, providing important data support for global carbon cycle and ecological research.
DOI: 10.57760/sciencedb.j00148.00016
title: Data for "Integrative phylogenomics and morphology reveal the evolution and biogeography of Encephalartos (Zamiaceae)"
title: Data for "Integrative phylogenomics and morphology reveal the evolution and biogeography of Encephalartos (Zamiaceae)"

description: The data belongs to "Encephalartos phylogeny, biogeography and taxonomic evolution". Encephalartos, an African endemic genus within the Zamiaceae, comprises 65 extant species whose phylogenetic relationships have remained unresolved due to limited genetic differentiation observed in previous studies. This research reconstructs the evolutionary history of Encephalartos utilizing 3,545 single-copy nuclear genes derived from transcriptomes of 64 species. The study estimates divergence times and reconstructs ancestral states for key morphological traits. 
description: The data belongs to "Encephalartos phylogeny, biogeography and taxonomic evolution". Encephalartos, an African endemic genus within the Zamiaceae, comprises 65 extant species whose phylogenetic relationships have remained unresolved due to limited genetic differentiation observed in previous studies. This research reconstructs the evolutionary history of Encephalartos utilizing 3,545 single-copy nuclear genes derived from transcriptomes of 64 species. The study estimates divergence times and reconstructs ancestral states for key morphological traits.
DOI: 10.57760/sciencedb.27079
title: Reduction of interface defects in Al2O3/HfO2 nanolaminates using ultrathin SiO2 interlayers grown via plasma-enhanced atomic layer deposition
title: Reduction of interface defects in Al2O3/HfO2 nanolaminates using ultrathin SiO2 interlayers grown via plasma-enhanced atomic layer deposition

description: Al2O3/HfO2 nanolaminates combine the advantages of both Al2O3 and HfO2, showing great potential in applications such as laser coatings. However, the Al2O3-on-HfO2 interface in Al2O3/HfO2 nanolaminates has a relatively high defect density, which can negatively affect the overall performance of associated coatings. Ultrathin SiO2 interlayers were added at the Al2O3-on-HfO2 interface in an Al2O3/HfO2 nanolaminate and an Al2O3–HfO2 nanocomposite with thinner sublayers using plasma-enhanced atomic layer deposition. The experimental results show that adding SiO2 interlayers can reduce the interface defect density and increase the laser-induced damage threshold (LIDT) of the nanolaminate and nanocomposite without significantly affecting the refractive index. When using this Al2O3–HfO2–SiO2 nanocomposite instead of HfO2 to fabricate plate laser beam splitter coating, the LIDT can be increased by 1.5 times. We believe that this ultrathin SiO2 interlayer strategy may benefit other nanolaminates with high-density interface defects and contribute to enhancing the performance of high-power laser coatings.
description: Al2O3/HfO2 nanolaminates combine the advantages of both Al2O3 and HfO2, showing great potential in applications such as laser coatings. However, the Al2O3-on-HfO2 interface in Al2O3/HfO2 nanolaminates has a relatively high defect density, which can negatively affect the overall performance of associated coatings. Ultrathin SiO2 interlayers were added at the Al2O3-on-HfO2 interface in an Al2O3/HfO2 nanolaminate and an Al2O3–HfO2 nanocomposite with thinner sublayers using plasma-enhanced atomic layer deposition. The experimental results show that adding SiO2 interlayers can reduce the interface defect density and increase the laser-induced damage threshold (LIDT) of the nanolaminate and nanocomposite without significantly affecting the refractive index. When using this Al2O3–HfO2–SiO2 nanocomposite instead of HfO2 to fabricate plate laser beam splitter coating, the LIDT can be increased by 1.5 times. We believe that this ultrathin SiO2 interlayer strategy may benefit other nanolaminates with high-density interface defects and contribute to enhancing the performance of high-power laser coatings.
DOI: 10.15468/dl.zdg9ac
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malus floribunda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 416 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053802-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/oparty
title: Odesa Region Local-Level Election and Language Data (2001-2019)
title: Electoral Districts 141-143

description: Election results, codebook, source list, geodata, replication files, charts, maps for electoral districts 141-143 in Odesa Oblast (fmr. Izmail Region) of Ukraine.
DOI: 10.57760/sciencedb.30360
title: Dataset of "Forestation enhance soil organic carbon sequestration globally but with divergent microbial mechanisms between arid and humid regions"
title: Dataset of "Forestation enhance soil organic carbon sequestration globally but with divergent microbial mechanisms between arid and humid regions"

description: This dataset was used for data analysis on topic "Forestation enhance soil organic carbon sequestration globally but with divergent microbial mechanisms between arid and humid regions". All indicators except "Paper", "Soil layer", and "Aridity index" were calculated as response ratio for meta-analysis, and were used to represent the effects of forestation. Forestation is determined as the transform from all ecosystems (i.e. farmland, grassland, forest and bare land) to plantations.
description: This dataset was used for data analysis on topic "Forestation enhance soil organic carbon sequestration globally but with divergent microbial mechanisms between arid and humid regions". All indicators except "Paper", "Soil layer", and "Aridity index" were calculated as response ratio for meta-analysis, and were used to represent the effects of forestation. Forestation is determined as the transform from all ecosystems (i.e. farmland, grassland, forest and bare land) to plantations.
DOI: 10.57760/sciencedb.30362
title: Multimodal Sentiment Analysis Experimental Data (Processed MOSI/MOSEI Subset)
title: Multimodal Sentiment Analysis Experimental Data (Processed MOSI/MOSEI Subset)

description: [Overview]This dataset targets multimodal sentiment/emotion analysis. It contains aligned and processed features and intermediate artifacts derived from the public dataset(s) &lt;e.g., CMU-MOSI / CMU-MOSEI&gt;. Original videos are NOT included; only processed text/audio/vision features and labels are provided.[Contents & Structure]- data/ - train/ valid/ test/ (same split as the original or our reproduction) - modalities/: {text.csv, audio.csv, vision.csv} - labels/: {sentiment.csv or emotion.csv}- code-snippets/: loading examples and preprocessing scripts- README.md: field definitions and usage[Formats & Size]- Text features: &lt;e.g., GloVe 300d or BERT-base pooled&gt;, CSV/NPZ- Audio features: &lt;e.g., COVAREP/opensmile, sampling and dims&gt;- Visual features: &lt;e.g., OpenFace/Facet; frame-level to segment aggregation&gt;- Total size: &lt;xx GB&gt;[Labels & Splits]- Sentiment: &lt;range or discrete classes&gt;- Emotions (if any): &lt;N classes&gt;- Splits follow the original dataset or our scripts for reproducibility.[How to Use]We provide Python examples and EMOE-compatible loaders (works with PyTorch-DirectML/CPU).[Citation]Please cite &lt;Your Name/Institution&gt; and the original dataset paper(s) (e.g., CMU-MOSI/MOSEI). Copyright and terms of the original data remain with their owners; this release contains derived features only for research reproducibility.
description: [Overview]This dataset targets multimodal sentiment/emotion analysis. It contains aligned and processed features and intermediate artifacts derived from the public dataset(s) &lt;e.g., CMU-MOSI / CMU-MOSEI&gt;. Original videos are NOT included; only processed text/audio/vision features and labels are provided.[Contents & Structure]- data/ - train/ valid/ test/ (same split as the original or our reproduction) - modalities/: {text.csv, audio.csv, vision.csv} - labels/: {sentiment.csv or emotion.csv}- code-snippets/: loading examples and preprocessing scripts- README.md: field definitions and usage[Formats & Size]- Text features: &lt;e.g., GloVe 300d or BERT-base pooled&gt;, CSV/NPZ- Audio features: &lt;e.g., COVAREP/opensmile, sampling and dims&gt;- Visual features: &lt;e.g., OpenFace/Facet; frame-level to segment aggregation&gt;- Total size: &lt;xx GB&gt;[Labels & Splits]- Sentiment: &lt;range or discrete classes&gt;- Emotions (if any): &lt;N classes&gt;- Splits follow the original dataset or our scripts for reproducibility.[How to Use]We provide Python examples and EMOE-compatible loaders (works with PyTorch-DirectML/CPU).[Citation]Please cite &lt;Your Name/Institution&gt; and the original dataset paper(s) (e.g., CMU-MOSI/MOSEI). Copyright and terms of the original data remain with their owners; this release contains derived features only for research reproducibility.
DOI: 10.57760/sciencedb.30354
title: TP53 Pathway-Related Genes Signature Predicts Radiotherapy Prognosis in Non-Small Cell Lung Cancer
title: TP53 Pathway-Related Genes Signature Predicts Radiotherapy Prognosis in Non-Small Cell Lung Cancer

description: The processed RNA-seq data of lung cancer patients.
description: The processed RNA-seq data of lung cancer patients.
DOI: 10.15468/dl.3eh9dw
title: Occurrence Download

description: A dataset containing 2423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciurus carolinensis",
 "HasCoordinate is true",
 "Country is Ireland"
 ]
}

 The dataset includes 2423 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053804-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.30349
title: Dataset of Photocurrent Generation in Monolayer Molybdenum Disulfide
title: 单层二硫化钼中光电流的产生数据集

description: This study revealed the key influence of multi-body interactions on the photocurrent of molybdenum disulfide through theoretical simulations, and based on this, developed an optical switch scheme that can achieve PHz modulation. 
description: This study revealed the key influence of multi-body interactions on the photocurrent of molybdenum disulfide through theoretical simulations, and based on this, developed an optical switch scheme that can achieve PHz modulation.
DOI: 10.57760/sciencedb.30327
title: Improving the performance of Mo/Si/C multilayers through selective substrate bias-assistance
title: Improving the performance of Mo/Si/C multilayers through selective substrate bias-assistance

description: Mo/Si/C multilayers were fabricated with bias applied to different layers under the same conditions. The results demonstrate that bias significantly reduces surface and interfacial roughness, with effective improvements observed for each material.
description: Mo/Si/C multilayers were fabricated with bias applied to different layers under the same conditions. The results demonstrate that bias significantly reduces surface and interfacial roughness, with effective improvements observed for each material.
DOI: 10.57760/sciencedb.30319
title: Data used in a paper submitted to Geophysical Research Letters (2025GL120103)
title: Data used in a paper submitted to Geophysical Research Letters (2025GL120103)

description: We uploaded the data used in a paper submitted to Geophysical Research Letters (2025GL120103) to meet the journal's open data policy.
description: We uploaded the data used in a paper submitted to Geophysical Research Letters (2025GL120103) to meet the journal's open data policy.
DOI: 10.57760/sciencedb.30321
title: Data for MMS Observations of an Active Flux Rope during Asymmetric Magnetic Reconnection
title: Data for MMS Observations of an Active Flux Rope during Asymmetric Magnetic Reconnection

description: Data for MMS Observations of an Active Flux Rope during Asymmetric Magnetic Reconnection
description: Data for MMS Observations of an Active Flux Rope during Asymmetric Magnetic Reconnection
DOI: 10.3535/3p4-5q6-0c6
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.f5w7w9
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Ficus macrophylla",
 "Year 2010-2025"
 ]
}

 The dataset includes 361 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053807-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pr5p5n
title: Occurrence Download

description: A dataset containing 3537 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cercis occidentalis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3537 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053808-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/rt5-bpx-zg6
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.zf92bt
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Pochota fendleri"
 ]
}

 The dataset includes 53 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053809-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ev9y5y
title: Occurrence Download

description: A dataset containing 54814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acer saccharum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 54814 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053761-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hgt6v
title: Occurrence Download

description: A dataset containing 351 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mongolia",
 "TaxonKey is Anabasis brevifolia"
 ]
}

 The dataset includes 351 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053810-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b27fuw
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jimbouria"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053811-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47w7a3
title: Occurrence Download

description: A dataset containing 540 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Countryside Council for Wales (CCW) Freshwater Fish Ad-hoc Records for Habitats Directive (Council Directive 92/43/EEC) Reporting under Article 17"
 ]
}

 The dataset includes 540 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053813-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5atk4x
title: Occurrence Download

description: A dataset containing 24854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Betula alleghaniensis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24854 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053812-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5d93a
title: Occurrence Download

description: A dataset containing 380 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guatteria crassipes"
 ]
}

 The dataset includes 380 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053814-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3z8hek
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dendroctonus rhizophagus"
 ]
}

 The dataset includes 46 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053815-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pz5m26
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Pochota fendleri"
 ]
}

 The dataset's 2 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053805-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v4ch2k
title: Occurrence Download

description: A dataset containing 31285 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligustrum ovalifolium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31285 records from 384 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053816-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4sxpee
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kanabohelix"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053817-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.