Data · dataset · 2020
NCI Spectal data for PLOS One 'Machine learning utilising spectral derivative data improves cellular health classification through hyperspectral infra-red spectroscopy' publication
Listed in UBIRA eData
The raw spectral data for repositry submission as part of the PLOS One paper titled 'Machine learning utilising spectral derivative data improves cellular health classification through hyperspectral infra-red spectroscopy'.
Description
The raw spectral reflectance data from the NCI measurements of both healthy and treated cell culture samples are shown, along with each wavelength of illumination
Links
Where it is published
- UBIRA eData record edata.bham.ac.uk/515/1/Raw_Spectal_Data.xlsx ↗
landing page · from edata bham ac uk
- DOI doi.org/10.25500/edata.bham.00000515 ↗
DOI / persistent id · from edata bham ac uk
Catalogue records · 1
- OAI-PMH record edata.bham.ac.uk/cgi/oai2?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3… ↗
metadata API · from edata bham ac uk
Topics
- From keywords
- Earth & Environmental Science
Provenance · 1 source records, 5 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UBIRA eData | oai:edata.bham.ac.uk:515 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | |
| description | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | |
| publication_date | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | |
| title | source · edata bham ac uk | connector:edata_bham_ac_uk@1.0.0 | /metadata/dc/title |