DOI: 10.5281/zenodo.18640002
title: East Asian Prehistoric Human-Face Jade Form 01 (EANJ_FACE_01): High-Resolution Non-Interpretive Visual Documentation of Morphology, Perforations, Surface Alteration, and Tool Traces

description: 1. Core Statement

1.1 This record contains high-resolution original visual data of a single face-shaped jade form (Form ID: EANJ_FACE_01).

1.2 The dataset serves as the foundational research base of the specimen’s digital archive project, providing high-fidelity visual evidence to support morphological analysis, traceology, and materials science–related research.

 

2. Access and Application

2.1 Access Restriction: For data security and academic compliance, the high-resolution original files of this dataset are set to Restricted Access.

2.2 Application Requirements: Applicants must submit a clear research purpose and institutional affiliation through the Zenodo platform.

2.3 Usage Restrictions: All data may be used exclusively for academic research, visual documentation, and comparative analysis. Any commercial use, non-academic dissemination, or reproduction for purposes other than scholarly comparison is strictly prohibited.

 

3. Dataset Composition

3.1 Panoramic Documentation

High-resolution frontal and dorsal photographs capturing overall proportions and geometric structure.

3.2 Measurement Reference

Images with metric scales to enable quantitative analysis. Metric scale is included in dedicated reference images for size comparison purposes only.



Length: 6.7 cm

Width: 4.8 cm

Thickness: 1.7 cm

Weight: 68 g


3.3 Microscopic Evidence

High-magnification images document:



Ox-nose (cow-nose) perforation structures (see close-up views of left and right perforations)

Micro-erosion features and surface pitting (visible in localized macro views)

Observable tool marks and texture patterns


 

4. Limitations and Observational Constraints and Open Questions

4.1 Observational Constraints



Certain surface features, including potential micro-traces, are partially obscured by natural deposits, mineral inclusions, and weathering patterns (visible in macro views of erosion pits).

The object's morphology introduces challenges for standard measurement protocols, warranting adapted approaches in quantitative analysis.

These constraints are documented to support transparent evaluation and encourage methodological refinement.


 

4.2 Open Questions for Further Inquiry:For instance, whether certain perforation dimensions or ratios fall toward the periphery of documented ranges.For instance, whether potential variability exists in surface alteration patterns under different observational conditions.For instance, whether challenges remain in applying standard measurement protocols to morphologically complex forms.

For instance, whether variability in surface alteration patterns is influenced by observable mineral deposits or weathering extent.

These points are presented as open areas for exploration and do not constitute conclusions.

 

5. Imaging and Processing

5.1 All images were captured in RAW format and converted to JPEG without localized modifications.

5.2 Photography was conducted under controlled lighting conditions with neutral backgrounds to minimize environmental interference.

5.3 No physical manipulation or surface treatment was performed on the object during imaging.

5.4 Post-processing, if applied, was limited to overall exposure and white balance adjustments to accurately reflect the material’s visual state.

 

6. Compliance and Due Diligence

6.1 The compilation and release of this dataset follows fundamental principles of academic data management.

6.2 Before digitization and release, the dataset underwent careful internal evaluation of release risks, usage boundaries, and alignment with academic norms to ensure transparency and procedural soundness.

6.3 This dataset is released solely as a non-interpretive, original visual record and does not constitute any form of academic conclusion, cultural attribution, chronological determination, or institutional endorsement.