Sample Entry
Create one sample record, then add it to the project log.
Project Rock Log
Search, filter, sort, edit, duplicate, delete, print, and export records.
| Sample ID | Rock | Class | Location | Grain Size | Main Minerals | Weight | Date | Status | Actions |
|---|---|---|---|---|---|---|---|---|---|
| No samples added yet. | |||||||||
How Rock Sample Logs Improve Field Records
A rock sample log creates a consistent record for every specimen collected during fieldwork. It links a physical sample with its location, appearance, geological setting, and laboratory history. Consistent records make later interpretation easier because essential details are captured before they are forgotten. A strong log normally includes a unique sample identifier, collection date, coordinates, locality, rock class, rock type, grain size, color, structures, weight, and field observations. These details help researchers compare specimens and trace every result back to its original site.
Classifying and Describing Samples
Rock classification usually begins with the three major groups: igneous, sedimentary, and metamorphic. Field classification may be provisional, especially when grains are too small or weathering hides diagnostic minerals. Texture, grain size, sorting, foliation, bedding, fossils, vesicles, and mineral composition provide useful clues. Mineral percentages can be estimated visually and later refined using laboratory methods. Recording uncertainty is better than forcing an exact identification. Notes about alteration, veins, fractures, magnetism, acid reaction, and weathering can also preserve valuable evidence for future review.
Using This Generator
Enter the sample details, add minerals, and select any visible geological features. The mineral percentage total updates automatically, helping you identify estimates above or below one hundred percent. Add the completed specimen to the project log, then continue with additional samples. Search and filters help manage larger field collections. Summary cards show total records, combined weight, and common sample characteristics. Export the project as CSV for spreadsheet work or PDF for reports and archives. A clear sample log supports reliable comparisons, laboratory tracking, teaching, exploration programs, and long-term collections. Well documented specimens remain useful long after fieldwork ends.
Grain Size Reference
| Grain Size | Approximate Size | Typical Description |
|---|---|---|
| Very fine | < 0.0625 mm | Individual grains are difficult to see. |
| Fine | 0.0625–0.25 mm | Small grains are visible with close inspection. |
| Medium | 0.25–0.5 mm | Grains are clearly visible and easily compared. |
| Coarse | 0.5–2 mm | Large distinct grains are readily visible. |
| Very coarse | > 2 mm | Very large grains, crystals, or clasts dominate. |
Frequently Asked Questions
What information belongs in a rock sample log?
Record identity, location, date, classification, physical description, minerals, geological features, sampling details, and useful notes.
How should sample IDs be assigned?
Use unique sequential identifiers. A project prefix followed by numbers keeps large collections organized.
How do I identify a rock type?
Compare texture, minerals, structures, grain size, color, and field context. Laboratory testing can confirm uncertain identifications.
What is grain size?
Grain size describes the dimensions of visible particles or crystals. It is a key classification characteristic.
How should mineral percentages be estimated?
Estimate the visible proportion of each mineral. The combined total should normally approach one hundred percent.
Can one location contain multiple samples?
Yes. Give each specimen its own Sample ID, even when several samples share one locality.
What is the difference between field and laboratory classification?
Field classification uses visible characteristics. Laboratory classification can add chemical, mineralogical, and microscopic evidence.
Can this log be exported?
Yes. Use the CSV export for spreadsheets or the PDF export for printable reports.