cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13739146.v1
title: Supplementary Material for: Incidence of Psoriasis in Patients with Inflammatory Bowel Disease: A Nationwide Population-Based Matched Cohort Study

description: <b><i>Background:</i></b> Emerging data suggest that inflammatory bowel disease (IBD) and psoriasis are associated, sharing common genetic predispositions and immunological mechanisms. However, concrete data on psoriasis risk in IBD patients compared to the general population are limited. <b><i>Objective:</i></b> We investigated the risk of developing psoriasis in IBD patients compared to controls without IBD. <b><i>Methods:</i></b> Using the Korean National Health Insurance Database, patients diagnosed with Crohn’s disease (CD) or ulcerative colitis (UC) between 2005 and 2008 were age- and sex-matched 1:4 to non-IBD subjects from 2003 to 2018. IBD patients were defined by combining the International Classification of Diseases 10th revision code and at least one prescription of IBD-specific medications. Disease phenotypes, including psoriasis severity and psoriatic arthritis, were also identified. We investigated newly diagnosed psoriasis from 2009 to 2018. Incidence rates and risk of psoriasis were assessed with multivariate Cox regression models. Subgroup analyses for age and sex, and sensitivity analysis involving tumor necrosis factor (TNF) inhibitor-naïve patients were performed. <b><i>Results:</i></b> During nearly a decade of follow-up, 20,152 IBD patients were identified (14,619 [72.54%] UC and 5,533 [27.46%] CD). Among them, 439 patients were newly diagnosed with psoriasis (incidence rate of 217.68 per 100,000 person-years and 228.62 per 100,000 person-years for UC and CD, respectively). The psoriasis risk was higher in IBD patients than in the matched controls (adjusted hazard ratio, aHR, 2.95, 95% confidence interval, CI, 2.60–3.33). Moreover, IBD patients aged &lt;30 years were at an increased risk (aHR 3.35, 95% CI 2.58–4.35), a trend that was unchanged across all psoriasis phenotypes. Sensitivity analysis of TNF inhibitor-naïve patients revealed consistent results. <b><i>Conclusions:</i></b> IBD patients were more likely to develop psoriasis compared to non-IBD subjects, including younger patients at an elevated risk regardless of TNF inhibitor use. This advocates the interplay between IBD and psoriasis; thus, inspection of cutaneous manifestation and dermatological consultation may be helpful in IBD patients at risk.
DOI: 10.5281/zenodo.4482071
title: Data support for: "Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition"

description: The provided spectral CT data accompanies the following publication: A. Perelli, M. S. Andersen, <strong>Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition</strong>, Philosophical Transactions A, 2021 The dataset provides raw energy-resolved CT projections for the phantom considered in the paper which consists of iodine cylinder materials of different concentration. The spectral CT data is acquired through a photon-counting CT scanner at DTU Physics. The repository contains the following files: <strong>HER_acq19-02-13-16-01-00.h5</strong>: real spectral CT projections and meta data obtained through the prototype scanner at DTU Physics. <strong>Main_Spectral_CT_Dataset.m</strong>: Matlab files to load and process the CT projections and for reconstruction. <strong>fan_vec_vustom.m</strong>: fucntion to create the appropriate CT geometry for the ASTRA Toolbox The MATLAB reconstruction code accompanying the paper is available in the following GitHub repository: https://github.com/alperelli/Denoising-IHS The following Matlab toolbox is required for performing FBP or SIRT reconstruction. ****************** Software Requirement ***********************<br> This script upload the spectral CT data, post-process the data to insert gaps and generate the ASTRA operator.<br> As option, the SIRT reconstruction can be performed. This code requires the ASTRA Toolbox installed: https://github.com/astra-toolbox/astra-toolbox W. van Aarle, W. J. Palenstijn, J. Cant, E. Janssens, F. Bleichrodt, A. Dabravolski, J. De Beenhouwer, K. J. Batenburg, and J. Sijbers, “Fast and Flexible X-ray Tomography Using the ASTRA Toolbox”, Optics Express, 24(22), 25129-25147, (2016)<br> http://dx.doi.org/10.1364/OE.24.025129 ********************************************************************
DOI: 10.5281/zenodo.4482070
title: Data support for: "Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition"

description: The provided spectral CT data accompanies the following publication: A. Perelli, M. S. Andersen, <strong>Regularization by Denoising Sub-sampled Newton Method for Spectral CT Multi-Material Decomposition</strong>, Philosophical Transactions A, 2021 The dataset provides raw energy-resolved CT projections for the phantom considered in the paper which consists of iodine cylinder materials of different concentration. The spectral CT data is acquired through a photon-counting CT scanner at DTU Physics. The repository contains the following files: <strong>HER_acq19-02-13-16-01-00.h5</strong>: real spectral CT projections and meta data obtained through the prototype scanner at DTU Physics. <strong>Main_Spectral_CT_Dataset.m</strong>: Matlab files to load and process the CT projections and for reconstruction. <strong>fan_vec_vustom.m</strong>: fucntion to create the appropriate CT geometry for the ASTRA Toolbox The MATLAB reconstruction code accompanying the paper is available in the following GitHub repository: https://github.com/alperelli/Denoising-IHS The following Matlab toolbox is required for performing FBP or SIRT reconstruction. ****************** Software Requirement ***********************<br> This script upload the spectral CT data, post-process the data to insert gaps and generate the ASTRA operator.<br> As option, the SIRT reconstruction can be performed. This code requires the ASTRA Toolbox installed: https://github.com/astra-toolbox/astra-toolbox W. van Aarle, W. J. Palenstijn, J. Cant, E. Janssens, F. Bleichrodt, A. Dabravolski, J. De Beenhouwer, K. J. Batenburg, and J. Sijbers, “Fast and Flexible X-ray Tomography Using the ASTRA Toolbox”, Optics Express, 24(22), 25129-25147, (2016)<br> http://dx.doi.org/10.1364/OE.24.025129 ********************************************************************
DOI: 10.6084/m9.figshare.13739227
title: Nsim_NNr_raw_data.zip

description: Raw MATLAB measurement results for Nsim and NNR algorithms
DOI: 10.5281/zenodo.4310338
title: Production of concentrated hydrogen peroxide in bioelectrochemical systems negatively affects microbial current generation

description: Electroactive biofilm sequencing from bioelectrochemical reactors, during experiments that exposed to H<sub>2</sub>O<sub>2 </sub>in an adjacent chamber
DOI: 10.5281/zenodo.4310337
title: Production of concentrated hydrogen peroxide in bioelectrochemical systems negatively affects microbial current generation

description: Electroactive biofilm sequencing from bioelectrochemical reactors, during experiments that exposed to H<sub>2</sub>O<sub>2 </sub>in an adjacent chamber
DOI: 10.15468/aqukpk
title: Higher classification of the Monostilifera (Nemertea: Hoplonemertea)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kajihara, Hiroshi (2021): Higher classification of the Monostilifera (Nemertea: Hoplonemertea). Zootaxa 4920 (2): 151-199, DOI: https://doi.org/10.11646/zootaxa.4920.2.1
DOI: 10.15468/hyk82j
title: A new species of Icerya Signoret (Hemiptera: Coccomorpha: Monophlebidae) and a key to species of the genus found in India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Joshi, Sunil, Navik, Omprakash (2021): A new species of Icerya Signoret (Hemiptera: Coccomorpha: Monophlebidae) and a key to species of the genus found in India. Zootaxa 4920 (2): 200-210, DOI: https://doi.org/10.11646/zootaxa.4920.2.2
DOI: 10.6084/m9.figshare.13739227.v1
title: Nsim_NNr_raw_data.zip

description: Raw MATLAB measurement results for Nsim and NNR algorithms
DOI: 10.5281/zenodo.4518373
title: Genotyping of 4,506 bread wheat accessions with the TaBW410K SNP array

description: <strong>Genotyping data of 4,506 bread wheat accessions obtained with the TaBW410K SNP array.</strong> The 4,506 bread wheat accessions (Balfourier et al. Science Advances 2019) were genotyped using a high-density Affymetrix Axiom SNP array containing 409,695 SNPs (Kitt et al., in prep). Genotyping was conducted on the Affymetrix GeneTitan system according to the procedure described by Affymetrix (Axiom 2.0 Assay Manual Workflow User Guide Rev3). Allele calling was carried out using a modified version of the Affymetrix proprietary software packages Affymetrix Power Tools and SNPolisher (www.affymetrix.com/estore/partners_programs/programs/developer/tools/devnettools.affx) to take into account the specificities of the wheat genome. For all SNPs, HomRO, and HomFLD were calculated (http://media.affymetrix.com/support/developer/downloads/<br> Tools/SNPolisher_User_Guide.pdf). The HomFLD filter was set to 3.6. As a first step, all the probesets were processed with a mild<br> inbred penalty equal to four on all samples. As a second step, the SNPs failing the quality check criteria (“Other” and “NoMinorHom”)<br> were reprocessed using an inbred penalty of 16. Probesets classified as OTVs by SNPolisher were analyzed with OTV_caller in two<br> steps. SNPs were classified in six main categories according to cluster patterns produced by the Affymetrix software: PHR, OTV, monomorphic high resolution, no minor homozygous, call rate below threshold, and others. For further analyses, only PHRs and OTVs were selected. This dataset contains three files: Collection_geznotyping_matrix_410k.map: map file of 239,100 markers (PHRs or OTVs) to be used with PLINK Collection_geznotyping_matrix_410k.map: bed file of 239,100 markers (PHRs or OTVs) to be used with PLINK SNP_positions_410k.txt: position of 225,771 SNPs
DOI: 10.18112/openneuro.ds003508.v1.0.0
title: Language Learning Aptitude dataset
DOI: 10.6084/m9.figshare.13740400
title: Supplements: Blood transcriptome analysis of patients with uncomplicated bacterial infection and sepsis 080221

description: These are supplementary data to our manuscript.<i>ST1_QC_Sepsis_080221.xlsx: </i><i>Quality control of raw reads before trimming, after trimming, uniquely mapped reads and percentage of mapped reads</i><i>ST2_summary_table_080221.xlsx: </i><i>Summary statistics for patient groups</i><i>ST3_Patients_characteristics_080221.xlsx: </i><i>Description of patients characteristics</i><i>S4_Material_Methods_080221.docx: </i><i>Detailed Material and Methods</i><i><br></i><br>
DOI: 10.6084/m9.figshare.11473140
title: Interspecific competition selects against Pseudomonas aeruginosa mutators.

description: Data set from Interspecific competition selects against <i>Pseudomonas aeruginosa</i> mutators.
DOI: 10.6084/m9.figshare.11473140.v2
title: Interspecific competition selects against Pseudomonas aeruginosa mutators.

description: Data set from Interspecific competition selects against <i>Pseudomonas aeruginosa</i> mutators.
DOI: 10.25625/i06cgq/3fydzs
title: stress_gd5.d_4_f1.20

description: :unav
DOI: 10.25625/i06cgq/au1cvn
title: stress_gd5.d_4_f0.80

description: :unav
DOI: 10.25625/i06cgq/y2arpo
title: orderp_gd1.d_4_f1.40

description: :unav
DOI: 10.25625/i06cgq/0l4llz
title: flowcurve_f0.7_taup1.d0

description: :unav
DOI: 10.25625/i06cgq/8e7tmi
title: orderp_gd5.d_4_f0.00

description: :unav
DOI: 10.25625/i06cgq/rdg3xs
title: orderp_gd2.d_2_f0.00

description: :unav
DOI: 10.25625/i06cgq/bgxcgw
title: orderp_gd1.d_3_f0.80

description: :unav
DOI: 10.25625/i06cgq/awbpke
title: stress_gd5.d_2_f0.80

description: :unav
DOI: 10.25625/i06cgq/e3aeo5
title: stress_gd5.d_4_f1.80

description: :unav
DOI: 10.25625/i06cgq/67lxma
title: orderp_gd1.d_3_f2.00

description: :unav
DOI: 10.25625/i06cgq/zxtc3a
title: stress_gd5.d_2_f1.20

description: :unav
DOI: 10.25625/i06cgq/1scrok
title: stress_gd2.d_3_f2.00

description: :unav
DOI: 10.25625/i06cgq/ckulfa
title: stress_gd1.d_4_f2.00

description: :unav
DOI: 10.25625/i06cgq/si2eno
title: stress_gd1.d_2_f0.00

description: :unav
DOI: 10.5523/bris.2v49dy7vowv8924ryb4dyd115p
title: Data for ElectroPneumatic Pump paper 2021

description: Inlcuded here are data to support the paper: R. S. Diteesawat, T. Helps, M. Taghavi, J. Rossiter, Electro-pneumatic pumps for soft robotics. Sci. Robot. 6, eabc3721 (2021).
DOI: 10.25625/i06cgq/hnr7gk
title: orderp_gd5.d_3_f0.80

description: :unav
DOI: 10.25625/i06cgq/sja1hu
title: stress_gd2.d_4_f1.40

description: :unav
DOI: 10.25625/i06cgq/donhhz
title: orderp_gd2.d_2_f1.40

description: :unav
DOI: 10.25625/i06cgq/2rqu1v
title: velpro_gd1.d_1_f1.40_0000_200

description: :unav
DOI: 10.25625/i06cgq/f0ehvr
title: stress_gd1.d_1_f1.60

description: :unav
DOI: 10.25625/i06cgq/run6p7
title: stress_gd2.d_3_f0.80

description: :unav
DOI: 10.25625/i06cgq/et6grm
title: stress_gd1.d_2_f0.40

description: :unav
DOI: 10.25625/i06cgq/ngdsst
title: stress_gd1.d_4_f0.60

description: :unav
DOI: 10.25625/i06cgq/fhcuok
title: stress_gd1.d_2_f1.80

description: :unav
DOI: 10.25625/i06cgq/kjafgi
title: stress_gd5.d_2_f0.20

description: :unav
DOI: 10.25625/i06cgq/2d164q
title: stress_gd5.d_3_f0.00

description: :unav
DOI: 10.25625/i06cgq/p9ohxz
title: stress_gd2.d_2_f0.00

description: :unav
DOI: 10.25625/i06cgq/mmkhhc
title: stress_strain_act_f0.20_taup1.00_T0.00_gd1.d_3

description: :unav
DOI: 10.25625/i06cgq/bauuga
title: stress_gd2.d_2_f0.60

description: :unav
DOI: 10.25625/i06cgq/ar1qmg
title: orderp_gd2.d_2_f2.00

description: :unav
DOI: 10.25625/i06cgq/7j7vbp
title: orderp_gd2.d_2_f1.20

description: :unav
DOI: 10.25625/i06cgq/eloech
title: stress_strain_w_f0.20_taup1.00_T0.00_gd1.d_4

description: :unav
DOI: 10.25625/i06cgq/hgzpur
title: orderp_gd1.d_4_f0.00

description: :unav
DOI: 10.25625/i06cgq/qqhvzr
title: orderp_gd5.d_4_f1.80

description: :unav
DOI: 10.25625/i06cgq/ilc3yn
title: stress_gd5.d_2_f0.00

description: :unav
DOI: 10.25625/i06cgq/ip0cob
title: orderp_gd2.d_2_f1.00

description: :unav
DOI: 10.25625/i06cgq/lpjfkd
title: stress_gd5.d_2_f2.00

description: :unav
DOI: 10.25625/i06cgq/fjov1p
title: stress_gd1.d_4_f0.20

description: :unav
DOI: 10.25625/i06cgq/ievayt
title: stress_gd1.d_2_f0.20

description: :unav
DOI: 10.25625/i06cgq/r988o8
title: stress_gd1.d_3_f2.00

description: :unav
DOI: 10.25625/i06cgq/vntopr
title: stress_gd2.d_3_f1.80

description: :unav
DOI: 10.25625/i06cgq/ezryvq
title: orderp_gd2.d_4_f1.80

description: :unav
DOI: 10.25625/i06cgq/oohaxv
title: orderp_gd5.d_3_f1.20

description: :unav
DOI: 10.25625/i06cgq/byicu1
title: stress_gd1.d_4_f1.00

description: :unav
DOI: 10.25625/i06cgq/fdezeh
title: orderp_gd5.d_2_f0.40

description: :unav
DOI: 10.25625/i06cgq/n5iizr
title: stress_gd2.d_4_f1.80

description: :unav
DOI: 10.25625/i06cgq/flh3tw
title: orderp_gd1.d_3_f1.60

description: :unav
DOI: 10.25625/i06cgq/9uvl0k
title: orderp_gd5.d_2_f1.60

description: :unav
DOI: 10.25625/i06cgq/kebgp6
title: orderp_gd1.d_4_f0.80

description: :unav
DOI: 10.25625/i06cgq/8p1g2d
title: stress_gd2.d_2_f0.40

description: :unav
DOI: 10.25625/i06cgq/yfzkwu
title: orderp_gd2.d_2_f1.60

description: :unav
DOI: 10.25625/i06cgq/lphgng
title: stress_gd1.d_4_f1.20

description: :unav
DOI: 10.25625/i06cgq/cvfu99
title: stress_gd1.d_1_f0.40

description: :unav
DOI: 10.25625/i06cgq/ze4wpr
title: stress_gd1.d_1_f0.60

description: :unav
DOI: 10.25625/i06cgq/ovaz7z
title: orderp_gd2.d_3_f1.20

description: :unav
DOI: 10.25625/i06cgq/jpgm36
title: stress_gd1.d_2_f2.00

description: :unav
DOI: 10.25625/i06cgq/8ctuzr
title: stress_gd2.d_3_f0.60

description: :unav
DOI: 10.25625/i06cgq/vjgjcm
title: stress_gd5.d_2_f1.80

description: :unav
DOI: 10.25625/i06cgq/lrjbtb
title: stress_gd1.d_2_f1.00

description: :unav
DOI: 10.25625/i06cgq/hbv4r2
title: orderp_gd1.d_1_f0.20

description: :unav
DOI: 10.25625/i06cgq/p56rcp
title: stress_gd1.d_4_f1.80

description: :unav
DOI: 10.25625/i06cgq/culcvl
title: orderp_gd1.d_4_f1.20

description: :unav
DOI: 10.25625/i06cgq/1mjxjj
title: orderp_gd5.d_3_f0.20

description: :unav
DOI: 10.25625/i06cgq/h2xoxw
title: stress_gd1.d_1_f0.00

description: :unav
DOI: 10.25625/i06cgq/xyjcan
title: stress_gd1.d_2_f1.20

description: :unav
DOI: 10.25625/i06cgq/rfwao2
title: orderp_gd5.d_2_f0.60

description: :unav
DOI: 10.25625/i06cgq/fo9suo
title: stress_gd1.d_3_f1.80

description: :unav
DOI: 10.25625/i06cgq/dotky1
title: orderp_gd2.d_3_f1.00

description: :unav
DOI: 10.25625/i06cgq/wcogfs
title: orderp_gd1.d_3_f0.40

description: :unav
DOI: 10.25625/i06cgq/3hekqv
title: stress_gd5.d_4_f0.20

description: :unav
DOI: 10.25625/i06cgq/zddf9r
title: stress_gd5.d_3_f1.60

description: :unav
DOI: 10.25625/i06cgq/npoz4l
title: stress_gd1.d_3_f0.80

description: :unav
DOI: 10.25625/i06cgq/iirtl0
title: stress_gd2.d_3_f0.00

description: :unav
DOI: 10.25625/i06cgq/uag99k
title: stress_gd1.d_1_f1.20

description: :unav
DOI: 10.25625/i06cgq/tbd8y9
title: orderp_gd5.d_3_f0.00

description: :unav
DOI: 10.25625/i06cgq/7e1his
title: stress_gd2.d_2_f1.80

description: :unav
DOI: 10.25625/i06cgq/uaz0k1
title: stress_gd2.d_4_f2.00

description: :unav
DOI: 10.25625/i06cgq/6df4nk
title: orderp_gd5.d_2_f1.20

description: :unav
DOI: 10.25625/i06cgq/o0lqk0
title: stress_gd5.d_3_f1.80

description: :unav
DOI: 10.25625/i06cgq/ha4qgf
title: orderp_gd2.d_4_f0.60

description: :unav
DOI: 10.25625/i06cgq/ximufp
title: orderp_gd1.d_2_f1.40

description: :unav
DOI: 10.25625/i06cgq/3aythl
title: flowcurve_T0.1

description: :unav
DOI: 10.25625/i06cgq/wszkbw
title: orderp_gd5.d_4_f1.20

description: :unav
DOI: 10.6084/m9.figshare.13333973
title: Chiara et al 2021, Tables

description: This repository contains the main tables of the Chiara et al, manuscript entitled:<br>"Comparative genomics reveals early emergence and biased spatio-temporal distribution of SARS-CoV-2 "<br><br>The manuscript is currently under peer review
DOI: 10.25625/i06cgq/rtnryr
title: stress_gd5.d_3_f1.40

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DOI: 10.25625/i06cgq/40tlwg
title: stress_gd2.d_4_f0.60

description: :unav
DOI: 10.25625/i06cgq/tphbsv
title: stress_gd2.d_2_f0.80

description: :unav
DOI: 10.25625/i06cgq/fgbf2k
title: velpro_gd5.d_4_f1.80_0049_200

description: :unav
DOI: 10.25625/i06cgq/b991gy
title: orderp_gd5.d_3_f1.40

description: :unav
DOI: 10.25625/i06cgq/2kxd9v
title: orderp_gd2.d_2_f0.60

description: :unav
DOI: 10.25625/i06cgq/3gvwzi
title: orderp_gd1.d_3_f1.20

description: :unav
DOI: 10.25625/i06cgq/xwoecp
title: orderp_gd1.d_1_f1.20

description: :unav
DOI: 10.25625/i06cgq/hkoawa
title: orderp_gd5.d_3_f1.00

description: :unav
DOI: 10.25625/i06cgq/8mzcca
title: stress_gd2.d_4_f0.40

description: :unav
DOI: 10.25625/i06cgq/5gokhh
title: orderp_gd5.d_4_f0.20

description: :unav
DOI: 10.25625/i06cgq/ecnxes
title: orderp_gd5.d_4_f1.60

description: :unav
DOI: 10.25625/i06cgq/46raxa
title: orderp_gd2.d_3_f0.20

description: :unav
DOI: 10.25625/i06cgq/gpzt3a
title: orderp_gd5.d_4_f1.00

description: :unav
DOI: 10.25625/i06cgq/mnjcci
title: stress_strain_act_f0.20_taup1.00_T0.00_gd1.d_4

description: :unav
DOI: 10.25625/i06cgq/mi36ln
title: stress_gd5.d_4_f1.00

description: :unav
DOI: 10.25625/i06cgq/zq9czq
title: stress_gd2.d_4_f0.20

description: :unav
DOI: 10.25625/i06cgq/dkysco
title: orderp_gd2.d_3_f1.40

description: :unav
DOI: 10.25625/i06cgq/zjsiwv
title: orderp_gd5.d_3_f0.40

description: :unav
DOI: 10.25625/i06cgq/hjijq6
title: orderp_gd1.d_4_f0.60

description: :unav
DOI: 10.25625/i06cgq/rkpmkk
title: orderp_gd1.d_4_f2.00

description: :unav
DOI: 10.25625/i06cgq/c46uif
title: orderp_gd2.d_4_f0.40

description: :unav
DOI: 10.25625/i06cgq/otjmia
title: orderp_gd1.d_1_f0.60

description: :unav
DOI: 10.25625/i06cgq/ygmpt4
title: orderp_gd1.d_2_f2.00

description: :unav
DOI: 10.25625/i06cgq/bgnyii
title: stress_gd1.d_4_f1.60

description: :unav
DOI: 10.25625/i06cgq/q8rmxx
title: stress_gd1.d_3_f0.40

description: :unav
DOI: 10.25625/i06cgq/mqryq5
title: orderp_gd1.d_2_f0.40

description: :unav
DOI: 10.25625/i06cgq/dy2eyx
title: stress_gd1.d_1_f1.00

description: :unav
DOI: 10.25625/i06cgq/xymqai
title: orderp_gd5.d_2_f1.80

description: :unav
DOI: 10.25625/i06cgq/b6t41l
title: stress_gd1.d_2_f1.40

description: :unav
DOI: 10.25625/i06cgq/2lvma2
title: stress_gd5.d_2_f1.60

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title: orderp_gd2.d_3_f1.80

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title: stress_gd5.d_4_f1.40

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title: stress_gd2.d_2_f2.00

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title: stress_gd2.d_2_f1.60

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title: orderp_gd1.d_4_f1.80

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title: orderp_gd5.d_3_f2.00

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title: orderp_gd2.d_2_f1.80

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title: stress_gd2.d_2_f1.20

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title: stress_gd5.d_2_f0.60

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title: thetapos_PDF_simulation

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title: stress_strain_act_f0.70_taup1.00_T0.00_gd1.d_4

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title: stress_gd2.d_4_f1.20

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title: orderp_gd5.d_2_f0.80

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title: orderp_gd1.d_2_f1.60

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title: stress_gd5.d_4_f0.60

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