The OPARA service was recently upgraded to a new technical platform. You are visiting the outdated OPARA website. Please use https://opara.zih.tu-dresden.de/ for new data submissions. Previously stored data will be migrated in near future and then the old version of OPARA will finally be shut down. Existing DOIs for data publications remain valid.
Browsing B17 by Issue Date
Now showing items 1-5 of 5
-
Plasma steroid profiles in subclinical compared to overt adrenal Cushing’s syndrome
(Technische Universität Dresden, 2019)This supplemental file is derived from responses to the reviewers of the manuscript to provide background to the associated concepts and mathematical and statistical methods. -
Supplemental Data for the publication of manuscript "Glucocorticoid excess in patients with pheochromocytoma compared to paraganglioma and other forms of hypertension"
(Technische Universität Dresden, 2020)This supplemental file is derived from the manuscript to provide further information regarding plasma concentrations of adrenal steroids. -
Supplemental Data and Response to the Reviewers for the publication of manuscript "Glucocorticoid excess in patients with pheochromocytoma compared to paraganglioma and other forms of hypertension"
(Technische Universität Dresden, 2020)Supplemental Data and Rebuttal related to the manuscript entitled ''Glucocorticoid excess in patients with pheochromocytoma compared to paraganglioma and other forms of hypertension" -
Supplemental Data and Response to the Reviewers for the publication of manuscript "Glucocorticoid excess in patients with pheochromocytoma compared to paraganglioma and other forms of hypertension"
(Technische Universität Dresden, 2020)Supplemental Data and Rebuttal related to the manuscript entitled ''Glucocorticoid excess in patients with pheochromocytoma compared to paraganglioma and other forms of hypertension" -
Use of Steroid Profiling Combined With Machine Learning for the Diagnosis of Mild Autonomous Cortisol Secretion
(Technische Universität DresdenUniklinikum Dresden, 2022)This supplemental file is derived from the main data set to provide background to the associated concepts and methods of machine learning