A 30-m daily soil temperature dataset generator for alpine grasslands in central Tibetan Plateau during 2001–2024
Abstract
v1.0.1 (documentation and metadata fixes) This maintenance release updates repository metadata and documentation to align with the dataset submission to ScienceDB. No changes were made to the core data-generation algorithms. Changes Fixed issues and clarified wording in README.md. Updated the code archiving reference to the Zenodo concept DOI (all versions), and updated the ScienceDB dataset information with the current review status (DOI pending registration / under review). Updated CITATION.cff: added missing author information, removed the identifiers block to avoid DOI/version ambiguity, and updated version and date-released for v1.0.1. Overview (unchanged from v1.0.0) This workflow generates a 30-m daily near-surface soil temperature (ST) dataset for the Nyainqentanglha Mountains region (central Tibetan Plateau) during 2001–2024 using Google Earth Engine (GEE) and R. What's included 01_st_30m_daily_demo.js Reviewer-friendly demo script (default year: 2020) exporting quarterly multi-band outputs directly to Earth Engine Assets for rapid validation. 02_st_30m_daily_tile_export.js Full production script for 2001–2024. Exports quarterly multi-band ST images as four spatial tiles (2×2) to Google Drive to avoid large-file export constraints. 03_st_30m_daily_mosaic.R Post-processing script to mosaic the four tiles into unified quarterly GeoTIFFs (ST_ _ .tif) using terra. Output format Quarterly multi-band GeoTIFFs (ST_ _ .tif), one band per day (ST_YYYYMMDD) Stored as Int16 with scale factor 0.01 °C (i.e., values are °C × 100), NoData = -32768 How to use (recommended) Start with 01_st_30m_daily_demo.js to validate the workflow in your own Earth Engine Assets (a minimal number of tasks). Use 02_st_30m_daily_tile_export.js for full production export to Google Drive. Run 03_st_30m_daily_mosaic.R locally to generate the final quarterly mosaics. Associated Manuscript Title: A 30-m daily soil temperature dataset for alpine grasslands in central Tibetan Plateau during 2001–2024 Authors: Haoze Zhang, Pengfei Ma, et al. Journal: Scientific Data (Submitted) Notes The demo script creates 4 tasks (Q1–Q4) for the default year (2020). Running the full production export will create 384 tasks (24 years × 4 quarters × 4 tiles). For testing, users are encouraged to reduce the year/quarter lists first.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 10 January 2026