Chemical Composition of Ceramic Samples

Donated on 1/28/2019

Classify ceramic samples based on their chemical composition from energy dispersive X-ray fluorescence

Dataset Characteristics

Multivariate

Subject Area

Physics and Chemistry

Associated Tasks

Classification, Clustering

Feature Type

Real

# Instances

88

# Features

19

Dataset Information

Additional Information

The energy dispersive X-ray fluorescence (EDXRF) was used to determine the chemical composition of celadon body and glaze in Longquan kiln (at Dayao County) and Jingdezhen kiln. Forty typical shards in four cultural eras were selected to investigate the raw materials and firing technology. We hope to identify chemical elements that are strongest explanatory variables to classify samples into different cultural eras and kilns.

Has Missing Values?

No

Variable Information

Ceramic.Name: name of ceramic types from Longquan and Jindgezhen Part: a binary categorical variable ('Body' or 'Glaze') Na2O: percentage of Na2O (wt%) MgO: percentage of MgO (wt%) Al2O3: percentage of AI2O3 (wt%) SiO2: percentage of SiO2 (wt%) K2O: percentage of K2O (wt%) CaO: percentage of CaO (wt%) TiO2: percentage of TiO2 (wt%) Fe2O3: percentage of Fe2O3 (wt%) MnO: percentage of MnO (ppm) CuO: percentage of CuO (ppm) ZnO: percentage of ZnO (ppm) PbO2: percentage of PbO2 (ppm) Rb2O: percentage of Rb2O (ppm) SrO: percentage of SrO (ppm) Y2O3: percentage of Y2O3 (ppm) ZrO2: percentage of ZrO2 (ppm) P2O5: percentage of P2O5 (ppm)

Reviews

There are no reviews for this dataset yet.

Login to Write a Review
Download
0 citations
4810 views

License

By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy