Data · dataset · 2025
Integrated Empirical Correlation between Geological Strength Index (GSI) and Adjusted Rock Mass Rating (RMR_adj): A Field-Based Statistical Model
Listed in Teesside University Research Data Repository
Description
**Description** This dataset contains the raw field data used to develop the empirical correlation between the Geological Strength Index (GSI) and the Adjusted Rock Mass Rating (RMR_adj) in the research article entitled "Integrated Empirical Correlation between Geological Strength Index (GSI) and Adjusted Rock Mass Rating (RMR_adj): A Field-Based Statistical Model". **Data Overview:** - **Total Records:** 134 field observations - **Parameters:** - Geological Strength Index (GSI) - Adjusted Rock Mass Rating (RMR_adj) - **Lithological Units:** - Elika Formation (Massive Dolomite) - Lar Formation (Limestone) - Shemshak Formation (Sandstone, Siltstone, Shale) - **Location:** Central Alborz region, Iran - **Mine Sites:** Golbini & Zo Bauxite Mine, Tange Gazi Limestone Mine **File Format:** Microsoft Excel (.xlsx) **File Contents:** 1. **Field_Data Sheet:** Contains all 134 raw data points with the following columns: - Observation_ID: Unique identifier for each field observation - Formation: Lithostratigraphic unit name - Location: Specific mine site name - RMR_adj: Calculated Adjusted Rock Mass Rating value - GSI: Field-measured Geological Strength Index value 2. **Parameters_Description Sheet:** Provides detailed explanations of each parameter and methodology used for field measurements. **Potential Reuse:** This dataset can be used for: - Validation of the proposed GSI-RMR_adj correlation - Comparative studies in rock mass classification - Development of new empirical models in rock mechanics - Educational purposes in geotechnical engineering **Related Publication:** Shirdel, B. "Integrated Empirical Correlation between Geological Strength Index (GSI) and Adjusted Rock Mass Rating (RMR_adj): A Field-Based Statistical Model" (Submitted to Rock Mechanics and Rock Engineering)
Links
Where it is published
- DOI doi.org/10.17632/8z54mc65j3.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Geology 71%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/8z54mc65j3.1 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:group:3705 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |