Data · dataset · 2025
Master´s degree dissertation data: Investigation of tryptophan metabolites as potential biomarkers for acute kidney injury in COVID-19 patients plasma samples using HPLC-MS/MS targeted metabolomics
Listed in REDU - Unicamp Institutional Research Data Repository
The data set includes all the generated data during the master´s project "Investigation of tryptophan metabolites as potential biomarkers for acute kidney injury in COVID-19 patients plasma samples using HPLC-MS/MS targeted metabolomics".
Description
The data consist of Excel files containing the raw data and the applied statistical treatment. They can be divided into the following main topics: Data generated during analytical method development, sample preparation optimization, method validation according to ANVISA RDC 27 Bioanalytical
Methods
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Guidelines, metabolite concentrations in plasma samples from COVID-19 patients and their historical data. At the moment, the data can not be shared due to intelectual property matters, for more information, please contact the responsible.
Links
Where it is published
- Dataverse dataset page redu.unicamp.br/dataset.xhtml?persistentId=doi%3A10.25824%2Fredu%2FQU6NUQ ↗
landing page · from redu unicamp br
- DOI doi.org/10.25824/redu/qu6nuq ↗
DOI / persistent id · from redu unicamp br
Catalogue records · 1
- Dataverse API redu.unicamp.br/api/datasets/:persistentId/?persistentId=doi%3A10.25824%2Fredu… ↗
metadata API · from redu unicamp br
Topics
- Stated by source
- Chemistry · Medicine, Health and Life Sciences
- From keywords
- Chemistry · Life Sciences · Medicine & Health
- Inferred from text
- Metabolic medicine 78%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| REDU - Unicamp Institutional Research Data Repository | doi:10.25824/redu/QU6NUQ | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:320507 | enrichment · redu unicamp br | taxonomy-embedding@1.1.0 | title+keywords+description (78%) |
| concepts[field].dataverse_subject:chemistry | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /subjects |
| created_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| description | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /description |
| publication_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| title | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | /name |
| updated_date | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 | |
| version_label | source · redu unicamp br | connector:redu_unicamp_br@1.0.0 |