cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25405/data.ncl.14883882
title: XPS Data: Photoelectrochemical hydrogen evolution using dye-sensitised NiO - Environmental Effects and Photocatalyst Design Considerations

description: X-ray photoelectron spectroscopy (XPS) data for the five photocatalysts in this study (PC1-PC5) on mesoporous NiO thin films. XPS data was recorded on a Thermo Scientific K-Alpha instrument. The X-ray source was microfocused monochromatic AlKa, with an energy of 1486.6 eV, voltage = 12 kV, current = 3 mA, and power = 36W (at 400 µm spot size). The emission angle was at zero degrees. Pass energy for the survey regions was 150 eV with a step size of 0.4 eV and high-resolution regions had a pass energy of 40 eV with a step size of 0.1 eV. The samples were mounted on a clean aluminium plater and immobilised using double sided adhesive tape. Spectra were analysed using CasaXPS software (version 2.3.16). <br>
DOI: 10.25405/data.ncl.14884119
title: Transient Absorption Measurements for PC5

description: Picosecond transient absorption spectroscopy data for PC5 on NiO. Picosecond Transient Absorption spectra were recorded using the ULTRA instrument located in the Central Laser Facility at the Rutherford Appleton Laboratory.
DOI: 10.25405/data.ncl.14884119.v1
title: Transient Absorption Measurements for PC5

description: Picosecond transient absorption spectroscopy data for PC5 on NiO. Picosecond Transient Absorption spectra were recorded using the ULTRA instrument located in the Central Laser Facility at the Rutherford Appleton Laboratory.
DOI: 10.15129/ca1eaa95-09c2-44e5-8674-e94f41e50a1a
title: Inequality Explanations and External Efficacy

description: Replication data and do files for the results presented in the Frontiers article titled 'The System Works Fine: The Positive Relationship between Emphasis on Individual Explanations for Inequality and External Political Efficacy', by Joe Greenwood-Hau. The 2002 American National Election Study (ANES) data used in the study is publicly available via the ANES website (linked to below). Variables not used in the analyses were removed from the data, whilst variables used in the analyses were recoded. All of the recoding for the variables used in the analyses is available in the relevant replication file below (ANES_2002_Replication.do). This is a revised version of the earlier 'Inequality Explanations and Internal Efficacy' dataset record linked to on this record.
DOI: 10.5281/zenodo.5052679
title: RRING T4.3.7 Combined Codebook and Coding

description: This document, ‘RRING T4.3.7 Codebook and Coding’, supports the thematic focus analysis subtask 4.3.7 in Task 4.3 (T4.3) under Work Package (WP) 4 <em>(Global comparative analysis of the RRI State of the Art)</em>, in the EU Horizon 2020 project: <em>Responsible Research and Innovation Networking Globally (RRING)</em>. The overarching project aim is to bring Responsible Research and Innovation (RRI) into the linked up global world to promote mutual learning and collaboration in RRI. The scope of work in subtask 4.3.7 involves a comparative analysis identifying key RRI players, leaders and networks globally, which are relevant to Open Access and Open Data. This document sets out 22 codes/18 sub-codes inductively derived from interviews with relevant representatives of research funding bodies, research performing bodies, civil society organisations and policy organisation, together with the coding of those interviews.
DOI: 10.5281/zenodo.5052678
title: RRING T4.3.7 Combined Codebook and Coding

description: This document, ‘RRING T4.3.7 Codebook and Coding’, supports the thematic focus analysis subtask 4.3.7 in Task 4.3 (T4.3) under Work Package (WP) 4 <em>(Global comparative analysis of the RRI State of the Art)</em>, in the EU Horizon 2020 project: <em>Responsible Research and Innovation Networking Globally (RRING)</em>. The overarching project aim is to bring Responsible Research and Innovation (RRI) into the linked up global world to promote mutual learning and collaboration in RRI. The scope of work in subtask 4.3.7 involves a comparative analysis identifying key RRI players, leaders and networks globally, which are relevant to Open Access and Open Data. This document sets out 22 codes/18 sub-codes inductively derived from interviews with relevant representatives of research funding bodies, research performing bodies, civil society organisations and policy organisation, together with the coding of those interviews.
DOI: 10.6084/m9.figshare.14891643
title: Expressions and GCO profiles

description: Geospatial expressions and their GCO profiles.
DOI: 10.6084/m9.figshare.14891643.v1
title: Expressions and GCO profiles

description: Geospatial expressions and their GCO profiles.
DOI: 10.6084/m9.figshare.14821862
title: Eye Tracking Lateralized Spatial Associations in Early Childhood

description: This experiment tests the age at which left-to-right spatial associations found in infancy shift to culture-specific spatial biases in later childhood, for both numerical and non-numerical information. Children ages 1–5 years (N = 320) were tested within an eye-tracking paradigm which required passive viewing of a video portraying a spatial transposition. In this video, an item was hidden in a vertical set of locations, which were then surreptitiously rotated 90°.There were several conditions, which varied in the degree to which the locations were presented alongside ordinal (numerical, alphabetical) or non-ordinal (nonsense label) information. After transposition, a narrator prompted the child to visually search the array.The amount of time spent fixating in a location consistent with a left-to-right mapping or a right-to-left mapping was measured to gauge the degree and laterality of spatial associations. Overall, children looked more toward locations consistent with a left-to-right mapping. This effect fluctuated with age, dipping as children entered toddlerhood, increasing in 3- and 4-year-olds, and then disappearing at age 5. The ordinal nature of the stimuli (e.g., numerical or non-numerical) did not influence the laterality of the spatial associations. A follow-up experiment confirms that, like older preschoolers, adults (N = 66) also exhibit no spontaneous left-to-right mapping bias in this paradigm, with no fluctuation as a result of condition. These data support the presence of a decrease in left-to-right processing around the age of two as children recede from infantile spatial biases and progress to exhibiting culture-specific spatial biases in early childhood.
DOI: 10.6084/m9.figshare.14821862.v2
title: Eye Tracking Lateralized Spatial Associations in Early Childhood

description: This experiment tests the age at which left-to-right spatial associations found in infancy shift to culture-specific spatial biases in later childhood, for both numerical and non-numerical information. Children ages 1–5 years (N = 320) were tested within an eye-tracking paradigm which required passive viewing of a video portraying a spatial transposition. In this video, an item was hidden in a vertical set of locations, which were then surreptitiously rotated 90°.There were several conditions, which varied in the degree to which the locations were presented alongside ordinal (numerical, alphabetical) or non-ordinal (nonsense label) information. After transposition, a narrator prompted the child to visually search the array.The amount of time spent fixating in a location consistent with a left-to-right mapping or a right-to-left mapping was measured to gauge the degree and laterality of spatial associations. Overall, children looked more toward locations consistent with a left-to-right mapping. This effect fluctuated with age, dipping as children entered toddlerhood, increasing in 3- and 4-year-olds, and then disappearing at age 5. The ordinal nature of the stimuli (e.g., numerical or non-numerical) did not influence the laterality of the spatial associations. A follow-up experiment confirms that, like older preschoolers, adults (N = 66) also exhibit no spontaneous left-to-right mapping bias in this paradigm, with no fluctuation as a result of condition. These data support the presence of a decrease in left-to-right processing around the age of two as children recede from infantile spatial biases and progress to exhibiting culture-specific spatial biases in early childhood.
DOI: 10.5281/zenodo.5052964
title: Detecting Code Smells in React-based Web Systems

description: Dataset - Detecting Code Smells in React-based Web Systems
DOI: 10.5281/zenodo.5048311
title: Detecting Code Smells in React-based Web Systems

description: Dataset - Detecting Code Smells in React-based Web Systems
DOI: 10.5281/zenodo.4896005
title: Ocean circulation in the Challenger Deep derived from super-deep underwater glider observation

description: This datasets was used in the study named 'Ocean circulation in the Challenger Deep derived from super-deep underwater glider observation'. It contains temperature, salinity and zonal velocity data. Please let me know if you need any more information.
DOI: 10.5281/zenodo.4896004
title: Ocean circulation in the Challenger Deep derived from super-deep underwater glider observation

description: This datasets was used in the study named 'Ocean circulation in the Challenger Deep derived from super-deep underwater glider observation'. It contains temperature, salinity and zonal velocity data. Please let me know if you need any more information.
DOI: 10.5281/zenodo.5052909
title: Detecting Code Smells in React-based Web Systems

description: Detecting Code Smells in React-based Web Systems
DOI: 10.5281/zenodo.5052908
title: Detecting Code Smells in React-based Web Systems

description: Detecting Code Smells in React-based Web Systems
DOI: 10.6084/m9.figshare.14545875
title: Supplementary Figures and Tables Fatima et al. Gastrointestinal hormones and β-cell function after gastric bypass and sleeve gastrectomy: an RCT (Oseberg)

description: <b>Supplementary Figure </b><b>1</b>. Patient flow (page 2) <b>Supplementary Table 1.</b> Baseline characteristics (page 3) <b> </b> <b>Supplementary Figure </b><b>2</b>. Insulin and C-peptide levels during an oral glucose tolerance test (page 4) <b>Supplementary Figure 3</b>. Mediation model (page 5)<br> <b>Supplementary Table 2</b>. Early and late dumping symptoms and/or hypoglycemia during oral glucose tolerance test (page 6)<br>
DOI: 10.6084/m9.figshare.14545875.v4
title: Supplementary Figures and Tables Fatima et al. Gastrointestinal hormones and β-cell function after gastric bypass and sleeve gastrectomy: an RCT (Oseberg)

description: <b>Supplementary Figure </b><b>1</b>. Patient flow (page 2) <b>Supplementary Table 1.</b> Baseline characteristics (page 3) <b> </b> <b>Supplementary Figure </b><b>2</b>. Insulin and C-peptide levels during an oral glucose tolerance test (page 4) <b>Supplementary Figure 3</b>. Mediation model (page 5)<br> <b>Supplementary Table 2</b>. Early and late dumping symptoms and/or hypoglycemia during oral glucose tolerance test (page 6)<br>
DOI: 10.6084/m9.figshare.14545875.v3
title: Supplementary Figures and Tables Fatima et al. Gastrointestinal hormones and β-cell function after gastric bypass and sleeve gastrectomy: an RCT (Oseberg)

description: <b>Supplementary Figure </b><b>1</b>. Patient flow (page 2) <b>Supplementary Table 1.</b> Baseline characteristics (page 3) <b> </b> <b>Supplementary Figure </b><b>2</b>. Insulin and C-peptide levels during an oral glucose tolerance test (page 4) <b><br></b><b>Supplementary Figure </b><b>3</b>. iAUC<sub>0-8min </sub>ISR, DI <sub>IV peripheral</sub>, and DI <sub>IV hepatic</sub> (page 5)<br> <b>Supplementary Figure </b><b>4</b>. Mediation model (page 6) <b>Supplementary Table 2</b>. Early and late dumping symptoms and/or hypoglycemia during oral glucose tolerance test (page 7)<br>
DOI: 10.5281/zenodo.5053060
title: Edited DHS data for R training

description: Edited DHS data for R training
DOI: 10.5281/zenodo.5053056
title: A comprehensive dataset for global, regional and national greenhouse gas emissions by sector 1970-2019

description: Comprehensive and reliable information on anthropogenic sources of greenhouse gas emissions is required to track progress towards keeping warming well below 2°C as agreed upon in the Paris Agreement. Here we provide a dataset on anthropogenic GHG emissions 1970-2019 with a broad country and sector coverage. We build the dataset from recent releases from the “Emissions Database for Global Atmospheric Research” (EDGAR) for CO<sub>2</sub> emissions from fossil fuel combustion and industry (FFI), CH<sub>4</sub> emissions, N<sub>2</sub>O emissions, and fluorinated gases and use a well-established fast-track method to extend this dataset from 2018 to 2019. We complement this with information on net CO<sub>2</sub> emissions from land use, land-use change and forestry (LULUCF) from three available bookkeeping models.
DOI: 10.6084/m9.figshare.14891859
title: TieBreakJsons.zip

description: Tie-break FL
DOI: 10.6084/m9.figshare.14891859.v1
title: TieBreakJsons.zip

description: Tie-break FL
DOI: 10.6084/m9.figshare.14891976
title: TieBreakJsons.zip

description: Tie-break FL
DOI: 10.6084/m9.figshare.14815911
title: Root hydraulic conductivity dataset in Arabidopsis thaliana wild-type and endodermal barrier mutants

description: Root hydraulic conductivity data in <i>Arabidopsis thaliana</i> Col-0 (WT) line and mutants <i>CDEF</i>, <i>esb1 CDEF</i>, and <i>sgn3 myb36</i>.<br>
DOI: 10.6084/m9.figshare.14815911.v1
title: Root hydraulic conductivity dataset in Arabidopsis thaliana wild-type and endodermal barrier mutants

description: Root hydraulic conductivity data in <i>Arabidopsis thaliana</i> Col-0 (WT) line and mutants <i>CDEF</i>, <i>esb1 CDEF</i>, and <i>sgn3 myb36</i>.<br>
DOI: 10.5281/zenodo.5053309
title: Azotea Dataset

description: Latest monthly AZOTEA reduced CSV files
DOI: 10.5281/zenodo.5052777
title: Daily weather data averages for Germany aggregated over official weather stations

description: Daily data averaged across Germany for the period of 2016-01-01 till 2021-06-27: <strong>temperature_mean: </strong>mean daily temperature in degree Celsius averaged across all weather stations in Germany. <strong>temperature_max:</strong> maximum daily temperature in degree Celsius averaged across all weather stations in Germany. <strong>precipitation:</strong> daily precipitation sum in millimeter (equals liter per square meter) averaged across all weather stations in Germany. <strong>sunshine: </strong>sunshine duration per day averaged across all weather stations in Germany. gemittelte Werte basierende auf Daten des Deutschen Wetterdiensts, Vermessungsverwaltungen der Länder und BKG (https://gdz.bkg.bund.de/)
DOI: 10.5281/zenodo.5015005
title: Daily weather data averages for Germany aggregated over official weather stations

description: Daily data averaged across Germany for the period of 2016-01-01 till 2021-06-27: <strong>temperature_mean: </strong>mean daily temperature in degree Celsius averaged across all weather stations in Germany. <strong>temperature_max:</strong> maximum daily temperature in degree Celsius averaged across all weather stations in Germany. <strong>precipitation:</strong> daily precipitation sum in millimeter (equals liter per square meter) averaged across all weather stations in Germany. <strong>sunshine: </strong>sunshine duration per day averaged across all weather stations in Germany. gemittelte Werte basierende auf Daten des Deutschen Wetterdiensts, Vermessungsverwaltungen der Länder und BKG (https://gdz.bkg.bund.de/)
DOI: 10.5517/ccdc.csd.cc26ch69
title: CCDC 2036830: Experimental Crystal Structure Determination

description: Related Article: Natsumi Suko, Hideki Itamoto, Yoshinori Okayasu, Naoya Okura, Junpei Yuasa|2021|Chemical Science|12|8746|doi:10.1039/D1SC01611C
DOI: 10.5517/ccdc.csd.cc26kfv2
title: CCDC 2042554: Experimental Crystal Structure Determination

description: Related Article: Zhi-Hui Jia, Jing-Yan Liu, De-Xuan Liu, Shi-Yong Zhang, Zi-Yi Du, Chun-Ting He, Wei-Xiong Zhang, Xiao-Ming Chen|2021|J.Mater.Chem.C|9|8076|doi:10.1039/D1TC01568K
DOI: 10.5517/ccdc.csd.cc26kfw3
title: CCDC 2042555: Experimental Crystal Structure Determination

description: Related Article: Zhi-Hui Jia, Jing-Yan Liu, De-Xuan Liu, Shi-Yong Zhang, Zi-Yi Du, Chun-Ting He, Wei-Xiong Zhang, Xiao-Ming Chen|2021|J.Mater.Chem.C|9|8076|doi:10.1039/D1TC01568K
DOI: 10.5517/ccdc.csd.cc26kfx4
title: CCDC 2042556: Experimental Crystal Structure Determination

description: Related Article: Zhi-Hui Jia, Jing-Yan Liu, De-Xuan Liu, Shi-Yong Zhang, Zi-Yi Du, Chun-Ting He, Wei-Xiong Zhang, Xiao-Ming Chen|2021|J.Mater.Chem.C|9|8076|doi:10.1039/D1TC01568K
DOI: 10.5517/ccdc.csd.cc26kfy5
title: CCDC 2042557: Experimental Crystal Structure Determination

description: Related Article: Zhi-Hui Jia, Jing-Yan Liu, De-Xuan Liu, Shi-Yong Zhang, Zi-Yi Du, Chun-Ting He, Wei-Xiong Zhang, Xiao-Ming Chen|2021|J.Mater.Chem.C|9|8076|doi:10.1039/D1TC01568K
DOI: 10.5517/ccdc.csd.cc26q74b
title: CCDC 2047151: Experimental Crystal Structure Determination

description: Related Article: Wei Wang, Lixing Luo, Zongqiong Lin, Zifeng Mu, Zhengkun Ju, Bo Yang, Yang Li, Menglu Lin, Guankui Long, Jing Zhang, Jianfeng Zhao, Wei Huang|2021|J.Mater.Chem.C|9|7928|doi:10.1039/D1TC01441B
DOI: 10.5517/ccdc.csd.cc26q76d
title: CCDC 2047153: Experimental Crystal Structure Determination

description: Related Article: Wei Wang, Lixing Luo, Zongqiong Lin, Zifeng Mu, Zhengkun Ju, Bo Yang, Yang Li, Menglu Lin, Guankui Long, Jing Zhang, Jianfeng Zhao, Wei Huang|2021|J.Mater.Chem.C|9|7928|doi:10.1039/D1TC01441B
DOI: 10.5517/ccdc.csd.cc26t4sz
title: CCDC 2049961: Experimental Crystal Structure Determination

description: Related Article: Bridget A. Connor, Rebecca W. Smaha, Jiayi Li, Aryeh Gold-Parker, Alexander J. Heyer, Michael F. Toney, Young S. Lee, Hemamala I. Karunadasa|2021|Chemical Science|12|8689|doi:10.1039/D1SC01159F
DOI: 10.5517/ccdc.csd.cc26t4t0
title: CCDC 2049962: Experimental Crystal Structure Determination

description: Related Article: Bridget A. Connor, Rebecca W. Smaha, Jiayi Li, Aryeh Gold-Parker, Alexander J. Heyer, Michael F. Toney, Young S. Lee, Hemamala I. Karunadasa|2021|Chemical Science|12|8689|doi:10.1039/D1SC01159F
DOI: 10.5517/ccdc.csd.cc26t4v1
title: CCDC 2049963: Experimental Crystal Structure Determination

description: Related Article: Bridget A. Connor, Rebecca W. Smaha, Jiayi Li, Aryeh Gold-Parker, Alexander J. Heyer, Michael F. Toney, Young S. Lee, Hemamala I. Karunadasa|2021|Chemical Science|12|8689|doi:10.1039/D1SC01159F
DOI: 10.5517/ccdc.csd.cc26t4w2
title: CCDC 2049964: Experimental Crystal Structure Determination

description: Related Article: Bridget A. Connor, Rebecca W. Smaha, Jiayi Li, Aryeh Gold-Parker, Alexander J. Heyer, Michael F. Toney, Young S. Lee, Hemamala I. Karunadasa|2021|Chemical Science|12|8689|doi:10.1039/D1SC01159F
DOI: 10.5517/ccdc.csd.cc26z7yd
title: CCDC 2054864: Experimental Crystal Structure Determination

description: Related Article: Vincent Pirenne, Emma G. L. Robert, Jerome Waser|2021|Chemical Science|12|8706|doi:10.1039/D1SC01127H
DOI: 10.5517/ccdc.csd.cc26z7zf
title: CCDC 2054865: Experimental Crystal Structure Determination

description: Related Article: Vincent Pirenne, Emma G. L. Robert, Jerome Waser|2021|Chemical Science|12|8706|doi:10.1039/D1SC01127H
DOI: 10.25505/fiz.icsd.cc271dnc
title: CSD 2056932: Experimental Crystal Structure Determination

description: Related Article: Xiaohe Wang, Nana Yan, Miao Xie, Puxu Liu, Pu Bai, Haopeng Su, Binyu Wang, Yunzheng Wang, Libo Li, Tao Cheng, Peng Guo, Wenfu Yan, Jihong Yu|2021|Chemical Science|12|8803|doi:10.1039/D1SC00619C
DOI: 10.5517/ccdc.csd.cc277gpn
title: CCDC 2062761: Experimental Crystal Structure Determination

description: Related Article: Bivas Mondal, Rakesh Maiti, Xing Yang, Jun Xu, Weiyi Tian, Jia-Lei Yan, Xiangyang Li, Yonggui Robin Chi|2021|Chemical Science|12|8778|doi:10.1039/D1SC01891D
DOI: 10.5517/ccdc.csd.cc27dg04
title: CCDC 2067545: Experimental Crystal Structure Determination

description: Related Article: Rebecca Scatena, Michał Andrzejewski, Roger D. Johnson, Piero Macchi|2021|J.Mater.Chem.C|9|8051|doi:10.1039/D1TC01966J
DOI: 10.6084/m9.figshare.14737446
title: Ecosystem Services provision by Mediterranean forests will be compromised above 2ºC warming

description: Final dataset resulting from the systematic literature review of studies conducted for Morán-Ordóñez et al. (2021). <strong>Ecosystem Services provision by Mediterranean forests will be compromised above 2ºC warming.</strong> It includes all the references extracted from the review of scientific papers using modelling approaches to project future ecosystem service provision in Mediterranean forests under IPCC climate change scenarios.<br>Update: In Version 2.0 a few duplicate items (8) have been removed.<br><br>
DOI: 10.6084/m9.figshare.14737446.v2
title: Ecosystem Services provision by Mediterranean forests will be compromised above 2ºC warming

description: Final dataset resulting from the systematic literature review of studies conducted for Morán-Ordóñez et al. (2021). <strong>Ecosystem Services provision by Mediterranean forests will be compromised above 2ºC warming.</strong> It includes all the references extracted from the review of scientific papers using modelling approaches to project future ecosystem service provision in Mediterranean forests under IPCC climate change scenarios.<br>Update: In Version 2.0 a few duplicate items (8) have been removed.<br><br>
DOI: 10.6084/m9.figshare.14737446.v1
title: Ecosystem Services provision by Mediterranean forests will be compromised above 2ºC warming

description: Final dataset resulting from the systematic literature review of studies conducted for Morán-Ordóñez et al. (2021). <strong>Ecosystem Services provision by Mediterranean forests will be compromised above 2ºC warming.</strong> It includes all the references extracted from the review of scientific papers using modelling approaches to project future ecosystem service provision in Mediterranean forests under IPCC climate change scenarios.<br>
DOI: 10.6084/m9.figshare.14891940
title: Health facilities Africa

description: The resulting health facilities db incorporates (i) Geographic locations of health centres (ii) the estimated electricity access for healthcare facilities, (iii) the estimated power requirements, (iv) the optimized PV and (v) battery size to meet these requirements, and the (vi) costs of the systems to be installed. Also, provides information about health facilities with access or no access to electricity.<br>Contributing institutes:<br>-European Commission Joint Research Centre (JRC), Ispra, Italy -Fondazione Eni Enrico Mattei (FEEM), Milan, Italy -Curtin University, Bentley, Western Australia, Australia <br>
DOI: 10.18746/bmth.data.00000177
title: Testing DataCite DOI generation
DOI: 10.5281/zenodo.5053391
title: Evolution of analytical variability with sample size

description: Final results obtained during the reproduction of pipelines used by teams during NARPS. Results were obtained by running the pipelines with 4 different sub-datasets of the original NARPS dataset with n=20, 40, 60 and 108 participants. Check the Gitlab repository for more informations.
DOI: 10.5281/zenodo.5053463
title: Evolution of analytical variability with sample size

description: Final results obtained during the reproduction of pipelines used by teams during NARPS. Results were obtained by running the pipelines with 4 different sub-datasets of the original NARPS dataset with n=20, 40, 60 and 108 participants. Check the Gitlab repository for more informations.
DOI: 10.34740/kaggle/dsv/2385515
title: Molecular modelling
DOI: 10.34740/kaggle/dsv/2385516
title: Molecular modelling
DOI: 10.34740/kaggle/dsv/2385518
title: Molecular modelling
DOI: 10.34740/kaggle/dsv/2385521
title: Molecular modelling
DOI: 10.6084/m9.figshare.14891982
title: An open-label phase Ⅰ/Ⅱa clinical trial of 11β-HSD1 inhibitor for Cushing’s syndrome and autonomous cortisol secretion

description: Supplementary materials
DOI: 10.6084/m9.figshare.14891982.v1
title: An open-label phase Ⅰ/Ⅱa clinical trial of 11β-HSD1 inhibitor for Cushing’s syndrome and autonomous cortisol secretion

description: Supplementary materials