Data associated with "Functional specialisation of multisensory temporal integration in the mouse superior colliculus" by Gaia Bianchini (7570553)

“…</p><p><br></p><p dir="ltr"><b>2.decoder_datasets</b><br>Contains outputs of classification algorithms trained on the <code>delay_tuning_dataset</code>.…”

Table 1_Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea.docx by Yifan Zhu (417526)

“…Additionally, we develop a Korean-language sentiment lexicon using an improved Term Frequency–Inverse Document Frequency (ITF-IDF) algorithm, enabling morpheme-level sentiment analysis for better sentiment extraction in Korean contexts. …”

Data Sheet 2_Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy.pdf by Yi Zhang (9093)

“…Developing a multi-omics-based classification system for LUAD is urgently needed to advance biological understanding.…”

Data Sheet 1_Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy.pdf by Yi Zhang (9093)

“…Developing a multi-omics-based classification system for LUAD is urgently needed to advance biological understanding.…”

Table 1_Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy.xlsx by Yi Zhang (9093)

“…Developing a multi-omics-based classification system for LUAD is urgently needed to advance biological understanding.…”

Table 1_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf by Salwa Hassanein (20843468)

“…Operationally, AI-based automation of routine tasks (e.g., scheduling, administrative documentation, and predictive workload classification) has streamlined resource allocation. …”

Table 2_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf by Salwa Hassanein (20843468)

“…Operationally, AI-based automation of routine tasks (e.g., scheduling, administrative documentation, and predictive workload classification) has streamlined resource allocation. …”

Table 3_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf by Salwa Hassanein (20843468)

“…Operationally, AI-based automation of routine tasks (e.g., scheduling, administrative documentation, and predictive workload classification) has streamlined resource allocation. …”

Table 2_Identification of regulatory cell death-related genes during MASH progression using bioinformatics analysis and machine learning strategies.xlsx by Zhiqiang Lin (747094)

“…A total of 101 combinations of 10 machine learning algorithms were employed to screen for characteristic RCD-related differentially expressed genes (DEGs) that reflect the progression of MASH. …”

Table 1_Identification of regulatory cell death-related genes during MASH progression using bioinformatics analysis and machine learning strategies.xlsx by Zhiqiang Lin (747094)

“…A total of 101 combinations of 10 machine learning algorithms were employed to screen for characteristic RCD-related differentially expressed genes (DEGs) that reflect the progression of MASH. …”

Table 1_Explainable machine learning model for predicting the outcome of acute ischemic stroke after intravenous thrombolysis.docx by Fanhai Bu (22315168)

“…LR model was subsequently employed as classification method demonstrating optimal performance with (AUC = 0.777) in the test dataset. …”

Labeled sensor dataset of beef cattle behavior grazing desert rangelands by Andres Perea (21095165)

“…Proprietary onboard processing algorithms summarize the motion data into a one-dimension motion index (MI) aggregated every 1 minute. …”

AP-2α 相关研究 by Ya-Hong Wang (21080642)

“…</p><p dir="ltr">(D) Pathway classification histogram. The KEGG database was used to classify genes based on their involvement in metabolic pathways or functional categories. …”

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

“…Details on the data sourcing process, prompt engineering strategies for large language model (LLM)-based extraction, and validation protocols are provided in the Supplementary Information section.…”

Supplementary Data: Biodiversity and Energy System Planning - Queensland 2025 by Andrew Rogers (17623239)

“…</li></ul><h3>Conservation Priority Analysis</h3><ul><li><b>Zonation_output/250m_SNES_ECNES_red_zones_weighted_QLD/</b>: Complete Zonation conservation prioritization analysis results at 250m resolution, including:</li><li><ul><li><b>feature_curves.csv</b> (17.7 MB): Performance curves for 524+ conservation features showing coverage across priority ranks</li><li><b>feature_coverage_summary_with_CI.csv</b>: Summary statistics with confidence intervals for feature coverage at different protection thresholds</li><li><b>rankmap.tif</b> (47.5 MB): Spatial priority ranking map</li><li><b>MNES_2019_prioritisation_QLD.tif</b> (47.5 MB): Matters of National Environmental Significance prioritization layer</li><li>Configuration files, analysis logs, and metadata</li></ul></li></ul><h3>Biodiversity Data</h3><ul><li><b>Species_files_weights_table.xlsx</b>: Weighting schemes applied to individual species in conservation planning, including rationale for differential weighting based on threat status and endemism.</li><li><b>Table 8_The 524 species and their associated threat status.xls</b>: Comprehensive list of fauna species included in the analysis with IUCN Red List categories, national conservation status, and state-level classifications.…”

Integrating urinary metabolomics and clinical datasets for multi-cancer detection by Dongyong Lee (18786694)

“…</p><p dir="ltr"> - Diagnostic and multi-disease classification models based on SERS spectra.</p><p dir="ltr">- Methodological studies on:</p><p dir="ltr"> - Handling of technical replicates.…”

IUTF Dataset(Enhanced): Enabling Cross-Border Resource for Analysing the Impact of Rainfall on Urban Transportation Systems by Xuhui Lin (19505503)

“…</p><h2>Data Structure</h2><p dir="ltr">The dataset is organized into four primary components:</p><ol><li><b>Road Network Data</b>: Topological representations including spatial geometry, functional classification, and connectivity information</li><li><b>Traffic Sensor Data</b>: Sensor metadata, locations, and measurements at both 5-minute and hourly resolutions</li><li><b>Precipitation Data</b>: Hourly meteorological information with spatial grid cell metadata</li><li><b>Derived Analytical Matrices</b>: Pre-computed structures for advanced spatial-temporal modelling and network analyses</li></ol><h2>File Formats</h2><ul><li><b>Tabular Data</b>: Apache Parquet format for optimal compression and fast query performance</li><li><b>Numerical Matrices</b>: NumPy NPZ format for efficient scientific computing</li><li><b>Total Size</b>: Approximately 2 GB uncompressed</li></ul><h2>Applications</h2><p dir="ltr">The IUTF dataset enables diverse analytical applications including:</p><ul><li><b>Traffic Flow Prediction</b>: Developing weather-aware traffic forecasting models</li><li><b>Infrastructure Planning</b>: Identifying vulnerable network components and prioritizing investments</li><li><b>Resilience Assessment</b>: Quantifying system recovery curves, robustness metrics, and adaptive capacity</li><li><b>Climate Adaptation</b>: Supporting evidence-based transportation planning under changing precipitation patterns</li><li><b>Emergency Management</b>: Improving response strategies for weather-related traffic disruptions</li></ul><h2>Methodology</h2><p dir="ltr">The dataset creation involved three main stages:</p><ol><li><b>Data Collection</b>: Sourcing traffic data from UTD19, road networks from OpenStreetMap, and precipitation data from ERA5 reanalysis</li><li><b>Spatio-Temporal Harmonization</b>: Comprehensive integration using novel algorithms for spatial alignment and temporal synchronization</li><li><b>Quality Assurance</b>: Rigorous validation and technical verification across all cities and data components</li></ol><h2>Code Availability</h2><p dir="ltr">Processing code is available at: https://github.com/viviRG2024/IUTDF_processing</p>…”

Figures and Tables by Divya C D (22799186)

“…Robots Comput. Vision XXXI: Algorithms and Techniques, Burlingame, CA, USA, Jan. 23–24, 2012.…”

Table_1_Files_Performance by Raquel Quatrini (6161930)

“…MOBHunter integrates these predictions, offers evidence-based classifications, and produces GenBank-compatible outputs for visualization, creating a comprehensive platform for MGE analysis of complete genomes of bacteria and archaeas.…”

MOBHunter by Raquel Quatrini (6161930)

“…MOBHunter integrates these predictions, offers evidence-based classifications, and produces GenBank-compatible outputs for visualization, creating a comprehensive platform for MGE analysis of complete genomes of bacteria and archaeas.…”