cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2574228
title: Neutrino Quantum Kinetics in Compact Objects

description: This contains the codebase and data from "Neutrino Quantum Kinetics in  Compact Objects" by Sherwood Richers, Gail McLaughlin, Alexey Vlasenko, and James P. Kneller. (2019, submitted to PRD)

 

======================<br>
All f.h5 file contents<br>
======================<br>
r(cm)  - proxy for the time (r=ct)<br>
dr_block(cm) - proxy for the block timestep (dr=cdt). Stored for recovery purposes<br>
dr_int(cm)   - proxy for the interaction integration timestep (dr=cdt). Stored for recovery purposes.<br>
dr_osc(cm)   - proxy for the oscillation integration timestep (dr=cdt). Stored for recovery purposes.<br>
fmatrixf     - dimensionless distribution function. Accessed with [time][helicity][energy][flavor1][flavor2][0=real,1=imaginary]

 

==================<br>
Directory contents<br>
==================

fiducial - simulation output from the fiducial case of a background<br>
with rho=1e10g/ccm, T=10MeV, Ye=0.3, the HShen EOS, including<br>
oscillations, neutrino absorption on nucleons and nuclei, inelastic<br>
electron scattering, elastic nucleon scattering, electron-positron<br>
pair production, effective-absorption nucleon-nucleon bremsstrahlung,<br>
and neutrino-neutrino scattering and pair processes. Using 25 energy<br>
bins covering up to 100 MeV.

noosc_full - simulation output from the fiducial case with the same<br>
circumstanses as above, except without oscillations and using 50<br>
energy bins up to 100 MeV.

*_tdecohere_times.dat - decoherence time (col. 4) for neutrinos at<br>
                        every radial point (col. 1), each helicity<br>
                        (col. 2), and every energy (col. 3).

noosc_supernova_background.dat - snapshot from a 1D core-collapse<br>
                        supernova simulation. The only relevant<br>
                        quantities are the radius (col. 2), density<br>
                        (col. 3), electron fraction (col. 4),<br>
                        temperature (col. 5), electron chemical<br>
                        potential (col. 9), proton chemical potential<br>
                        (col. 10), and neutron chemical potential<br>
                        (col. 11)

sn_decoherence_full - calculations done including the full set of<br>
                      collision interactions listed in fiducial,<br>
                      using 25 energy bins spanning the appropriate<br>
                      domain.

sn_decoherence_nonu4 - calculations done including the full set of<br>
                       collision interactions listed in fiducial<br>
                       except neutrino-neutrino scattering and pair<br>
                       processes, using 200 energy bins spanning a<br>
                       domain of 200 MeV.
DOI: 10.25345/c5403w
title: MassIVE MSV000083477 - GNPS_201902218_DATA_64bit_mzml
title: toxins in butterflies
Cyanogenic glycosides
in 11 species from south america
DOI: 10.5281/zenodo.2574227
title: Neutrino Quantum Kinetics in Compact Objects

description: This contains the codebase and data from "Neutrino Quantum Kinetics in<br>
Compact Objects" by Sherwood Richers, Gail McLaughlin, Alexey<br>
Vlasenko, and James P. Kneller. (2019, submitted to PrD)

======================<br>
All f.h5 file contents<br>
======================<br>
r(cm)  - proxy for the time (r=ct)<br>
dr_block(cm) - proxy for the block timestep (dr=cdt). Stored for<br>
               recovery purposes<br>
dr_int(cm)   - proxy for the interaction integration timestep<br>
               (dr=cdt). Stored for recovery purposes.<br>
dr_osc(cm)   - proxy for the oscillation integration timestep<br>
               (dr=cdt). Stored for recovery purposes.<br>
fmatrixf     - dimensionless distribution function. Accessed with<br>
               [time][helicity][energy][flavor1][flavor2][0=real,1=imaginary]

==================<br>
Directory contents<br>
==================

fiducial - simulation output from the fiducial case of a background<br>
with rho=1e10g/ccm, T=10MeV, Ye=0.3, the HShen EOS, including<br>
oscillations, neutrino absorption on nucleons and nuclei, inelastic<br>
electron scattering, elastic nucleon scattering, electron-positron<br>
pair production, effective-absorption nucleon-nucleon bremsstrahlung,<br>
and neutrino-neutrino scattering and pair processes. Using 25 energy<br>
bins covering up to 100 MeV.

noosc_full - simulation output from the fiducial case with the same<br>
circumstanses as above, except without oscillations and using 50<br>
energy bins up to 100 MeV.

noosc_supernova_background.dat - snapshot from a 1D core-collapse<br>
                         supernova simulation. The only relevant<br>
                         quantities are the radius (col. 2), density<br>
                         (col. 3), electron fraction (col. 4),<br>
                         temperature (col. 5), electron chemical<br>
                         potential (col. 9), proton chemical potential<br>
                         (col. 10), and neutron chemical potential<br>
                         (col. 11)<br>
            <br>
noosc_*_tdecohere.dat - decoherence time (col. 4) for neutrinos at<br>
                every radial point (col. 1), each helicity<br>
            (col. 2), and every energy (col. 3), using 50<br>
            energy bins at integer multiples of 2 MeV.

   full - calculations done including the full set of<br>
          collision interactions listed in fiducial.

   nonu4 - calculations done including the full set of<br>
           collision interactions listed in fiducial<br>
           except neutrino-neutrino scattering/pair<br>
           processes.
DOI: 10.5517/ccdc.csd.cc21r96b
title: CCDC 1899221: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Effendy, Allan H. White|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.2553204
title: SherpaTT Integration Test Bremen

description: Data recorded from SherpaTT. The logs have been recorded during a short integration test of SherpaTT and HCRU.
DOI: 10.5281/zenodo.2575415
title: SherpaTT Long Traverse at Workshop in Morocco

description: <em>This experiment with SherpaTT has been done in Morocco. SherpaTT starts driving at a workshop towards a road to enter the desert. The dataset contains pose estimates from SherpaTT's wheel odometry</em>, a pose estimation from the D-GPS module, and SherpaTT's joint angles. In addition, a ground truth digital elevation map is available.
DOI: 10.5281/zenodo.2575416
title: SherpaTT Long Traverse at Workshop in Morocco

description: <em>This experiment with SherpaTT has been done in Morocco. SherpaTT starts driving at a workshop towards a road to enter the desert. The dataset contains pose estimates from SherpaTT's wheel odometry</em>, a pose estimation from the D-GPS module, and SherpaTT's joint angles. In addition, a ground truth digital elevation map is available.
DOI: 10.5281/zenodo.2576882
title: Datasets and analysis for "Geographical trends in academic conferences: an analysis on authors' affiliations"

description: Datasets and analysis for "Geographical trends in academic conferences: an analysis on authors' affiliations"
DOI: 10.5281/zenodo.2576883
title: Datasets and analysis for "Geographical trends in academic conferences: an analysis on authors' affiliations"

description: Datasets and analysis for "Geographical trends in academic conferences: an analysis on authors' affiliations"
DOI: 10.5281/zenodo.2576884
title: SherpaTT Orbiting Box

description: <em>This experiment with SherpaTT has been done in Morocco. SherpaTT orbits an object with the HCRU targeting the object. Stereo cameras are used to make a 3D reconstruction of the environment.</em>
DOI: 10.5281/zenodo.2576885
title: SherpaTT Orbiting Box

description: <em>This experiment with SherpaTT has been done in Morocco. SherpaTT orbits an object with the HCRU targeting the object. Stereo cameras are used to make a 3D reconstruction of the environment.</em>
DOI: 10.5281/zenodo.2553203
title: SherpaTT Integration Test Bremen

description: Data recorded from SherpaTT. The logs have been recorded during a short integration test of SherpaTT and HCRU.
DOI: 10.5281/zenodo.2577175
title: MiRoR5 - P1 - A scoping review provided a framework for new ways of doing research through mobilizing collective intelligence

description: Data of scoping review on methods of mobilizing collective intelligence includes list of included articles, data extraction form, spreadsheet of data extracted and R script for data analysis
DOI: 10.5281/zenodo.2576901
title: RAGE - Data Final Evaluation RAGE Components

description: <strong>General description: </strong>Data from the final (summative) evaluation of RAGE game components (assets)

<strong>Topic</strong><br>
ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies, Usability testing

<strong>Name entitites</strong><br>
Organizational information: Graz University of Technology<br>
Geographical information: Europe<br>
Time information: October-November 2018

<strong>Types</strong>: SPSS data file

<strong>RAGCS target group:</strong> target groups - supply side - industry participants

<strong>Evaluation dimensions</strong><br>
Evaluation object: RAGE software components for applied games development<br>
Evaluation variables: usability, usefulness, relevance, game engineering, benefits, cost effectiveness, quality of support material

<strong>Instruments:</strong> Usability Metric for User Experience - UMUX (Finstad, 2010); items adapted from perceived usefulness scale (Davis, 1989; Davis and Venkatesh, 2004); questionnaire items defined for the purpose of the evaluation<br>
<br>
<strong>Relationships</strong>: D8.4 Second RAGE Evaluation Report<br>
Related datasets: 10.5281/zenodo.1209200, 10.5281/zenodo.1209204
description: {"references": ["Steiner, Nussbaumer, Gaisbachgrabner, Platon, & Lepoivre (2019). Evaluation of an interview simulation for job seekers - Applying a holistic evaluation approach for serious games. INTED2019"]}
DOI: 10.5281/zenodo.2576902
title: RAGE - Data Final Evaluation RAGE Components

description: <strong>General description: </strong>Data from the final (summative) evaluation of RAGE game components (assets)

<strong>Topic</strong><br>
ACM CSS 2012: Human-centered computing - Human computer interaction (HCI) - User studies, Usability testing

<strong>Name entitites</strong><br>
Organizational information: Graz University of Technology<br>
Geographical information: Europe<br>
Time information: October-November 2018

<strong>Types</strong>: SPSS data file

<strong>RAGCS target group:</strong> target groups - supply side - industry participants

<strong>Evaluation dimensions</strong><br>
Evaluation object: RAGE software components for applied games development<br>
Evaluation variables: usability, usefulness, relevance, game engineering, benefits, cost effectiveness, quality of support material

<strong>Instruments:</strong> Usability Metric for User Experience - UMUX (Finstad, 2010); items adapted from perceived usefulness scale (Davis, 1989; Davis and Venkatesh, 2004); questionnaire items defined for the purpose of the evaluation<br>
<br>
<strong>Relationships</strong>: D8.4 Second RAGE Evaluation Report<br>
Related datasets: 10.5281/zenodo.1209200, 10.5281/zenodo.1209204
description: {"references": ["Steiner, Nussbaumer, Gaisbachgrabner, Platon, & Lepoivre (2019). Evaluation of an interview simulation for job seekers - Applying a holistic evaluation approach for serious games. INTED2019"]}
DOI: 10.5281/zenodo.2577052
title: Dataset of confocal microscopy stacks from plant samples - ImageJ SurfCut: a user-friendly, high-throughput pipeline for extracting cell contours from 3D confocal stacks

description: This data set contains confocal stacks from <em>Arabidopsis thaliana </em><em>35S::GFP-MBD</em> light grown hypocotyl as well as propidium iodide stained cotyledon pavement cells and shoot apical meristem. This is the test dataset for the Fiji macro SurfCut (https://github.com/sverger/SurfCut; 10.5281/zenodo.2635737)

 

<strong>Material and methods:</strong>

Plant material and growth conditions

<em>Arabidopsis thaliana </em>wild type Col-0 and the microtubule reporter line <em>GFP-MBD</em> (WS-4, (Marc et al. 1998) were used. Seeds were cold treated for 48 hr to synchronize germination. Plants were then grown in a phytotron at 20°C, in a 16 hr light/8 hr dark cycle on solid Murashige and Skoog medium (MS medium, Duchefa, Haarlem, the Netherlands) with 0.8% agar, 1% sucrose, and no vitamin.

 

Confocal microscopy

Cell contour staining in the case of PC_PI_Col0_(1-8).tif and SAM_PI_Col-0.tif was performed by staining the cell wall with Propidium Iodide (PI). Plants were immersed in 0.2 mg/ml propidium iodide (PI, Sigma-Aldrich) for 10 min and washed with water prior to imaging. For imaging, samples were either placed on a solid agar medium and immersed in water, or placed between glass slide and coverslip separated by 400 μm spacers to prevent tissue crushing. Images were acquired using a Leica TCS SP8 confocal microscope, equipped with a water immersion objective (HCX IRAPO L 25x/0.95 W). PI excitation was performed using a 552 nm solid-state laser and fluorescence was detected at 600–650 nm. GFP excitation was performed using a 488 nm solid-state laser and fluorescence was detected at 495–535 nm. Stacks of 1024x1024 pixels (pixel size of 0.363 x 0.363 micron) optical section were generated with a Z interval of 0.5 μm.

 

<strong>File list:</strong>

Light grown hypocotyl, <em>GFP-MBD</em> reporter line:

- Hypocotyl_GFP-MBD.tif

Cotyledon’s pavement cells, PI staining:

- PC_PI_Col0_1.tif

- PC_PI_Col0_2.tif

- PC_PI_Col0_3.tif

- PC_PI_Col0_4.tif

- PC_PI_Col0_5.tif

- PC_PI_Col0_6.tif

- PC_PI_Col0_7.tif

- PC_PI_Col0_8.tif

Shoot apical meristem, PI staining:

- SAM_PI_Col-0.tif

 

<strong>Reference:</strong>

Marc, Jan, Cheryl L. Granger, Jennifer Brincat, Deborah D. Fisher, Teh-hui Kao, Andrew G. McCubbin, and Richard J. Cyr. 1998. “A GFP–MAP4 Reporter Gene for Visualizing Cortical Microtubule Rearrangements in Living Epidermal Cells.” <em>The Plant Cell</em> 10 (11): 1927–39. https://doi.org/10.1105/tpc.10.11.1927.
DOI: 10.5281/zenodo.2577053
title: Dataset of confocal microscopy stacks from plant samples - ImageJ SurfCut: a user-friendly, high-throughput pipeline for extracting cell contours from 3D confocal stacks

description: This data set contains confocal stacks from <em>Arabidopsis thaliana </em><em>35S::GFP-MBD</em> light grown hypocotyl as well as propidium iodide stained cotyledon pavement cells and shoot apical meristem. This is the test dataset for the Fiji macro SurfCut (https://github.com/sverger/SurfCut; 10.5281/zenodo.2635737)

 

<strong>Material and methods:</strong>

Plant material and growth conditions

<em>Arabidopsis thaliana </em>wild type Col-0 and the microtubule reporter line <em>GFP-MBD</em> (WS-4, (Marc et al. 1998) were used. Seeds were cold treated for 48 hr to synchronize germination. Plants were then grown in a phytotron at 20°C, in a 16 hr light/8 hr dark cycle on solid Murashige and Skoog medium (MS medium, Duchefa, Haarlem, the Netherlands) with 0.8% agar, 1% sucrose, and no vitamin.

 

Confocal microscopy

Cell contour staining in the case of PC_PI_Col0_(1-8).tif and SAM_PI_Col-0.tif was performed by staining the cell wall with Propidium Iodide (PI). Plants were immersed in 0.2 mg/ml propidium iodide (PI, Sigma-Aldrich) for 10 min and washed with water prior to imaging. For imaging, samples were either placed on a solid agar medium and immersed in water, or placed between glass slide and coverslip separated by 400 μm spacers to prevent tissue crushing. Images were acquired using a Leica TCS SP8 confocal microscope, equipped with a water immersion objective (HCX IRAPO L 25x/0.95 W). PI excitation was performed using a 552 nm solid-state laser and fluorescence was detected at 600–650 nm. GFP excitation was performed using a 488 nm solid-state laser and fluorescence was detected at 495–535 nm. Stacks of 1024x1024 pixels (pixel size of 0.363 x 0.363 micron) optical section were generated with a Z interval of 0.5 μm.

 

<strong>File list:</strong>

Light grown hypocotyl, <em>GFP-MBD</em> reporter line:

- Hypocotyl_GFP-MBD.tif

Cotyledon’s pavement cells, PI staining:

- PC_PI_Col0_1.tif

- PC_PI_Col0_2.tif

- PC_PI_Col0_3.tif

- PC_PI_Col0_4.tif

- PC_PI_Col0_5.tif

- PC_PI_Col0_6.tif

- PC_PI_Col0_7.tif

- PC_PI_Col0_8.tif

Shoot apical meristem, PI staining:

- SAM_PI_Col-0.tif

 

<strong>Reference:</strong>

Marc, Jan, Cheryl L. Granger, Jennifer Brincat, Deborah D. Fisher, Teh-hui Kao, Andrew G. McCubbin, and Richard J. Cyr. 1998. “A GFP–MAP4 Reporter Gene for Visualizing Cortical Microtubule Rearrangements in Living Epidermal Cells.” <em>The Plant Cell</em> 10 (11): 1927–39. https://doi.org/10.1105/tpc.10.11.1927.
DOI: 10.5281/zenodo.2577155
title: Supporting data for: "Steady state visual evoked potentials in reading aloud: Effects of lexicality, frequency and orthographic familiarity"

description: Supporting data for the article "Steady state visual evoked potentials in reading aloud: Effects of lexicality, frequency and orthographic familiarity".

The dataset consists of the 16 original .bdf files.
DOI: 10.5281/zenodo.2577156
title: Supporting data for: "Steady state visual evoked potentials in reading aloud: Effects of lexicality, frequency and orthographic familiarity"

description: Supporting data for the article "Steady state visual evoked potentials in reading aloud: Effects of lexicality, frequency and orthographic familiarity".

The dataset consists of the 16 original .bdf files.
DOI: 10.5523/bris.2chff7kqdsoyf2w1q2yruvz5wh
title: Data from Continuous Contact Sensing with a Soft Biomimetic Tactile Sensor

description: Data associated with the ICRA 2019 publication "Continuous Contact Sensing with a Soft Biomimetic Tactile Sensor"
DOI: 10.17632/b73ccpf3tk.6
title: Data for: Sex-Related Differences in the Progression of Posterior Vitreous Detachment with Age

description: PVD equal stage of PVD. The stage of PVD was determined based on the five-stage classification system described by Itakura and Kishi. Patient demgraphics and surgical outcomes was used to compare the preoperatibe baseline characteristics between groups.
DOI: 10.18112/openneuro.ds001603.v2.0.0
title: InterTVA. A multimodal MRI dataset for the study of inter-individual differences in voice perception and identification.
DOI: 10.5281/zenodo.2577238
title: 3D Taylor-Green vortex Direct Numerical Simulation statistics from Re=1250 to Re=20000

description: Statistical data for the 3D Taylor Green flow from Re=1250 to Re=20000 obtained with the flow solver Incompact3d. 

# ===========================================================================================<br>
# When publishing results using this data, the following paper should be cited as the source:  <br>
# Thibault Dairay, Eric Lamballais, Sylvain Laizet and John Christos Vassilicos<br>
# Numerical dissipation vs. subgrid-scale modelling for large eddy simulation<br>
# Journal of Computational Physics 337 (2017) 252–274<br>
# https://doi.org/10.1016/j.jcp.2017.02.035<br>
# ===========================================================================================

# Column 1  : time t<br>
# Column 2  : kinetic energy E_k [=(u^2+v^2+w^2)/2]<br>
# Column 3  : dissipation epsilon_t [=-dE_k/dt]<br>
# Column 4  : dissipation epsilon [= nu ((du/dx)^2+(du/dy)^2+(du/dz)^2+(dv/dx)^2+(dv/dy)^2+(dv/dz)^2+(dw/dx)^2+(dw/dy)^2+ dw/dz)^2)]<br>
# Column 5  : enstrophy Dzeta [=2 nu epsilon]<br>
# Column 6  : mean square u^2<br>
# Column 7  : mean square v^2<br>
# Column 8  : mean square w^2<br>
# Column 9  : mean square (du/dx)^2<br>
# Column 10 : mean square (du/dy)^2<br>
# Column 11 : mean square (du/dz)^2<br>
# Column 12 : mean square (dv/dx)^2<br>
# Column 13 : mean square (dv/dy)^2<br>
# Column 14 : mean square (dv/dz)^2<br>
# Column 15 : mean square (dw/dx)^2<br>
# Column 16 : mean square (dw/dy)^2<br>
# Column 17 : mean square (dw/dz)^2
description: {"references": ["Dairay, T., Lamballais, E., Laizet, S., & Vassilicos, J. C. (2017). Numerical dissipation vs. subgrid-scale modelling for large eddy simulation. Journal of Computational Physics, 337, 252-274.", "Laizet, S., & Lamballais, E. (2009). High-order compact schemes for incompressible flows: A simple and efficient method with quasi-spectral accuracy. Journal of Computational Physics, 228(16), 5989-6015."]}
DOI: 10.5281/zenodo.2577239
title: 3D Taylor-Green vortex Direct Numerical Simulation statistics from Re=1250 to Re=20000

description: Statistical data for the 3D Taylor Green flow from Re=1250 to Re=20000 obtained with the flow solver Incompact3d. 

# ===========================================================================================<br>
# When publishing results using this data, the following paper should be cited as the source:  <br>
# Thibault Dairay, Eric Lamballais, Sylvain Laizet and John Christos Vassilicos<br>
# Numerical dissipation vs. subgrid-scale modelling for large eddy simulation<br>
# Journal of Computational Physics 337 (2017) 252–274<br>
# https://doi.org/10.1016/j.jcp.2017.02.035<br>
# ===========================================================================================

# Column 1  : time t<br>
# Column 2  : kinetic energy E_k [=(u^2+v^2+w^2)/2]<br>
# Column 3  : dissipation epsilon_t [=-dE_k/dt]<br>
# Column 4  : dissipation epsilon [= nu ((du/dx)^2+(du/dy)^2+(du/dz)^2+(dv/dx)^2+(dv/dy)^2+(dv/dz)^2+(dw/dx)^2+(dw/dy)^2+ dw/dz)^2)]<br>
# Column 5  : enstrophy Dzeta [=2 nu epsilon]<br>
# Column 6  : mean square u^2<br>
# Column 7  : mean square v^2<br>
# Column 8  : mean square w^2<br>
# Column 9  : mean square (du/dx)^2<br>
# Column 10 : mean square (du/dy)^2<br>
# Column 11 : mean square (du/dz)^2<br>
# Column 12 : mean square (dv/dx)^2<br>
# Column 13 : mean square (dv/dy)^2<br>
# Column 14 : mean square (dv/dz)^2<br>
# Column 15 : mean square (dw/dx)^2<br>
# Column 16 : mean square (dw/dy)^2<br>
# Column 17 : mean square (dw/dz)^2
description: {"references": ["Dairay, T., Lamballais, E., Laizet, S., & Vassilicos, J. C. (2017). Numerical dissipation vs. subgrid-scale modelling for large eddy simulation. Journal of Computational Physics, 337, 252-274.", "Laizet, S., & Lamballais, E. (2009). High-order compact schemes for incompressible flows: A simple and efficient method with quasi-spectral accuracy. Journal of Computational Physics, 228(16), 5989-6015."]}
DOI: 10.5517/ccdc.csd.cc1pmbyl
title: CCDC 1567730: Experimental Crystal Structure Determination

description: Related Article: Popuri Sureshbabu, Qazi Mohammad Junaid, C. Upadhyay, W. Victoria, Vidhyapriya Pitchavel, Sakthivel Natarajan, S. Sabiah|2019|Polyhedron|164|202|doi:10.1016/j.poly.2019.02.015
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1pvwjy
title: CCDC 1574971: Experimental Crystal Structure Determination

description: Related Article: Ravinder Guduru, N. S. V. M. Rao Mangina, Balasubramanian Sridhar, Galla V. Karunakar|2019|Org.Biomol.Chem.|17|2809|doi:10.1039/C8OB03157F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.