遇见数据集

ODD INN multistate photogrammetry and Unreal Engine evidence and retrospective analyses

收藏
Zenodo2026-09-24 更新2026-10-01 收录
官方服务:

资源简介:

Selected original technical records from the completed ODD INN research project, exported validation notebooks, de-identified quality-assurance observations and retrospective arithmetic analyses supporting two articles on multistate photogrammetry and Unreal Engine 5 state and material transitions. DOWNLOAD INSTRUCTIONS: Start with START_HERE.md. The evidence archive is supplied as 17 binary parts (.zip.part001 through .zip.part017). Download all 17 parts, PARTS_MANIFEST.json and reassemble.py into one folder, then run python3 reassemble.py to reconstruct the ZIP. The helper verifies all part hashes and the complete archive before writing the ZIP. Seven small documentation, manifest and helper files accompany the parts; the record contains 24 downloadable files in total. This multipart transfer preserves the original archive byte for byte. Version 1.0.0 distinguishes original documentary evidence from extracts, checking code and prospective measurement protocols. Original documentary contributors are credited in the retained reports. The package does not contain a complete final Blender addon, an editable Unreal project, original full-resolution validation images or raw frame-time series. It supports documentary review and arithmetic reanalysis, not full experimental replication. Underlying project funding: NCBR, European Regional Development Fund, Smart Growth Operational Programme 2014–2020, grant POIR.01.01.01-00-0280/22-00. Preparation of the articles received no separate funding. No funder influenced the present analysis or the decision to publish the articles. License scope approved by the depositor on 24 September 2026: CC BY 4.0 for documentation and data, MIT for new analysis code and the reassembly helper, effective upon publication. Historical code and third-party material are distinguished in LICENSE_SCOPE.md. The archive retains the proposed schedule prepared for approval; approval and publication activate that schedule. The licenses apply to their respective components as specified in that schedule. The reconstructed archive includes 129 files. SHA256SUMS.txt and FILE_MANIFEST.json support integrity checking. REPRODUCING.md describes analyses actually rerun; PRIVACY_REVIEW.md and privacy_redactions.json describe narrowly redacted copies. Original source and deposited-file hashes remain distinct.

提供机构:
Zenodo
创建时间:
2026-09-24
二维码
社区交流群
二维码
科研交流群
商业服务