Biome vs HDF5 Viewer · File Reader

Biome is a mobile app that turns your phone into a powerful field tool for measuring trees. Use Lidar and AI to measure diameter at breast height (DBH), tree height, and identify species. No tape, no clinometer, no manual notes! Designed for smallholders, researchers, and carbon project developers, Biome helps you collect accurate, verifiable field data 10× faster. Features: • Lidar-based DBH and height measurement • Tree segmentation using AI (TreeSeg) • GPS-stamped plot data • Offline mode for remote fieldwork • Export raw measurements for carbon MRV workflows Funded by the U.S. National Science Foundation (NSF). Tested and validated in real reforestation projects. *Requires device with LIDAR sensor (e.g. iPhone 12 Pro+)

HDF5 Explorer is a high performance offline HDF5 file reader, HDF5 file viewer, and dataset inspector designed for iPhone, iPad, and Mac. Quickly inspect, analyze, and convert complex scientific and engineering data structures without sending any files off your device. HIERARCHICAL TREE & DATASET INSPECTION Navigate large group trees, inspect dataset dimensions, dtypes, and attributes, and explore tabular data with fast virtualized pagination and search. VISUAL DATA EXPLORER • 2D Heatmaps with customizable color palettes (Viridis, Magma, Plasma, Inferno) • 1D Line plots with adaptive LTTB downsampling for smooth rendering of large series • 3D spatial heightmesh projection for volumetric previews HYPERSLAB SLICING & FILTERING Specify offset, count, and stride to extract and view exact numerical sub-windows from high-dimensional datasets. CODE GENERATOR & INTEGRATION Generate instant code snippets to read HDF5 file in Python using h5py dataset calls, MATLAB HDF5 tutorial syntax, Julia, or JavaScript HDF5 libraries. Whether you need a Python HDF5 example, a guide on how to view H5 file structures, or read HDF5 file Python code for your data pipeline, copy ready-to-run code in one tap. VERSATILE DATASETS & FORMATS Inspect any HDF5 dataset, multi-dimensional HDF5 datasets, HDF5 image dataset, or scientific HDF5 database. Open HDF5 files (.h5, .hdf5, .he5, .nc) from local storage, cloud services, or HDF5 S3 endpoints. Perform HDF5 to NetCDF conversions or export filtered hyperslabs to CSV and JSON formats. EXPERT TOOL & FILE RECOVERY Whether you are working with NetCDF4 HDF5 archives, HDF5 in Python projects, HDF5 LabVIEW recordings, or DLL outputs, HDF5 Explorer delivers a complete HDF5 file viewer, HDF5 reader, and HDF5 converter experience. Includes a diagnostic byte scanner to analyze corrupted archives. PRIVATE BY DESIGN All file parsing and data processing take place locally on your device. HDF5 Explorer requires no account creation, collects no telemetry on file contents, and never uploads your scientific data. Privacy Policy: https://rush.tools/privacy Terms of Use: https://rush.tools/terms