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meica_4.0.1_20260722

qupath_0.7.0_20260723

Full Changelog: https://github.com/ztang99/Graph-Based-Benchmark/commits/Version_used_in_manuscript

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The Fitness Landscape for Antibodies (FLAb) is the largest publicly available therapeutic antibody dataset designed to train and benchmark protein AI models. It provides open-access, high-quality…

The Fitness Landscape for Antibodies (FLAb) is the largest publicly available therapeutic antibody dataset designed to train and benchmark protein AI models. It provides open-access, high-quality developability data on diverse therapeutic properties — expression, thermostability, immunogenicity, aggregation, polyreactivity, binding affinity, and pharmacokinetics — spanning 241 datasets and over 3 million antibody assay data points aggregated from public studies. Each dataset is a CSV with heavy (and optionally light) amino acid sequence columns and a fitness column containing the experimental assay value. Additional metadata columns may also be present.

This dataset contains the data used for the manuscript “Tower- and Drone-Based BVOC Observations in a Suburban Tokyo Forest: Methodological Insights and MEGAN Comparison”. The data were co…

This dataset contains the data used for the manuscript “Tower- and Drone-Based BVOC Observations in a Suburban Tokyo Forest: Methodological Insights and MEGAN Comparison”. The data were collected at the Tokyo University of Agriculture and Technology Field Museum Tamakyuryo, a suburban forest in Tokyo, Japan, from June 2023 to October 2025. The dataset includes tower-based multi-height measurements of biogenic volatile organic compounds, supplemental drone-based observations, tower-based isoprene flux estimates, paired tower–drone flux observations with synchronized measurement times, and paired observed and MEGAN-calculated isoprene fluxes used for model–observation comparison. The uploaded files are: BVOC_Vertical_Profile.csvMulti-height BVOC volume mixing ratios measured at the flux tower. Drone_Tower_Isoprene_Horizontal_Distribution.csvPaired tower and drone observations used to examine horizontal variability in isoprene mixing ratios. Isoprene_Flux_Distribution.csvPaired tower and drone flux data with synchronized observation timestamps, used to analyze flux distributions under matched measurement conditions. Isoprene_Flux_Observation.csvTower-based isoprene flux estimates calculated using the aerodynamic gradient method. Isoprene_MEGAN_cal_data.csvTime-synchronized paired dataset of observed isoprene fluxes and MEGAN-calculated fluxes. This dataset consists of 10-minute resolution values covering the period from June 2023 to October 2025, excluding missing data points. All times are expressed in Japan Standard Time. Users should note that the observations were conducted intermittently on selected sampling days and do not represent continuous long-term measurements.

What's Changed Resolve tf.TensorShape literals in shape arguments by @khatchad in https://github.com/ponder-lab/ML/pull/706 Full Changelog: https://github.com/ponder-lab/ML/compare/0.52.63...0.52.64