47 datos de investigación referenciados

Datos de investigación referenciados por Centro de Investigación en Tecnoloxías Intelixentes (CITIUS).
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2025

  1. 16SGOSeq: A curated bacterial and archaeal 16S rRNA Gene Oral Sequences dataset

    Zenodo

  2. Corlega: Corpus de Lecturabilidade en Galego

    Zenodo

  3. Galician Rivers Multispectral Anomaly Detection Dataset

    Zenodo

  4. Human-Annotated Topic Model Evaluation and Topic Resources for Comparative Analysis

    Zenodo

  5. KGCW 2025 Challenge @ ESWC 2025

    Zenodo

  6. PoeTree. Poetry Corpora in Czech, English, French, German, Hungarian, Italian, Norwegian, Portuguese, Russian, Slovenian, and Spanish

    Zenodo

  7. PrioReSpa - Spanish Dataset for prioritization

    Zenodo

  8. ReSpaN Equivalence - Spanish Dataset for non-functional requirements classification

    Zenodo

  9. Refined 3D Hepatic Vessel Skeleton Dataset from the Medical Segmentation Decathlon (Task08_HepaticVessel)

    Zenodo

2024

  1. Additional file 1 of AI literacy in K-12: a systematic literature review

    figshare

  2. Alsatian theater: Thealtres project annotations (Comparing theater in Alsatian with the dramatic traditions at its source)

    NAKALA - https://nakala.fr (Huma-Num - CNRS)

  3. Data augmentation for Multi-Classification of Non-Functional Requirements - Dataset

    Zenodo

  4. Didascalies annotées en 13 classes

    NAKALA - https://nakala.fr (Huma-Num - CNRS)

  5. KGCW 2024 Challenge @ ESWC 2024

    Zenodo

  6. Metadata for the MeThAL project (Towards a macroanalysis of theater in Alsatian): Raw annotations

    NAKALA - https://nakala.fr (Huma-Num - CNRS)

  7. Multimodal Dataset for Predicting the Interruptibility of Office Workers

    Zenodo

  8. Nos_CorpusNOS-GL: Galician Macrocorpus for LLM training

    Zenodo

  9. Results of KROWN: Knowledge Graph Construction Benchmark

    Zenodo

  10. SimRE: A Requirements Similarity Tool for Software Product Lines - Dataset

    Zenodo

  11. Supporting data for "Efficient phylogenetic tree inference for massive taxonomic datasets: harnessing the power of a server to analyze one million taxa"

    GigaScience Database