cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7438556
title: Local Monitoring of Photosensitizer Transient States Provides Feedback for Enhanced Efficiency and Targeting Selectivity in Photodynamic Therapy.

description: <strong>This folder contains all raw data underlying the results presented in a manuscript, accepted for publication in Scientifc Reports, entitled:</strong> <strong>Local Monitoring of Photosensitizer Transient States Provides Feedback for Enhanced Efficiency and Targeting Selectivity in Photodynamic Therapy.</strong> <strong>Authored by:</strong> Elin Sandberg <sup>1</sup>, Chinmaya V Srambickal <sup>1</sup>, Joachim Piguet <sup>1</sup>, Haichun Liu <sup>1</sup> and Jerker Widengren <sup>1,</sup>* <sup>1</sup> Experimental Biomolecular Physics, Department of Applied Physics, Royal Institute of Technology (KTH), Stockholm, Sweden <sup>* </sup>To whom correspondence should be addressed. Email: jwideng@kth.se. Tel: +46-8-7907813 <strong>The data files are grouped with respect to the figures/tables in the manuscript where the extracted results are presented. </strong> <strong>ABSTRACT</strong> Photodynamic therapy (PDT) fundamentally relies on local generation of PDT precursor states in added photosensitizers (PS), particularly triplet and photo-radical states. Monitoring these states <em>in situ</em> can provide important feedback but is difficult in practice. The states are strongly influenced by local oxygenation, pH and redox conditions, often varying significantly at PDT treatment sites. To overcome this problem, we followed local PDT precursor state populations of PS compounds, via their fluorescence intensity response to systematically varied excitation light modulation. Thereby, we could demonstrate local monitoring of PDT precursor states of methylene blue (MB) and IRdye700DX (IR700), and determined their transitions rates under different oxygenation, pH and redox conditions. By fiber-optics, using one fiber for both excitation and fluorescence detection, the triplet and photo-radical state kinetics of locally applied MB and IR700 could then be monitored in a tissue sample. Finally, potassium iodide and ascorbate were added as possible PDT adjuvants, enhancing intersystem crossing and photoreduction, respectively, and their effects on the PDT precursor states of MB and IR700 could be locally monitored. Taken together, the presented procedure overcomes current methodological limitations and can offer feedback, guiding both excitation and PDT adjuvant application, and thereby more efficient and targeted PDT treatments.
DOI: 10.58119/ulg/49uqnu/x3ur3o
title: Cicero_InterrogatioDeAereAlienoMilonisFragmenta_CicAerAl.BPN

description: :unav
DOI: 10.57745/mr8z2p
title: 20191106_18-055_14-1bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 6hours WITHOUT Vancomycin. Biological replicate 'B'. SDS Fraction 1/2.
DOI: 10.57745/yvnast
title: 20191106_18-055_17-2bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 6hours WITH Vancomycin. Biological replicate 'B'. SDS Fraction 2/2.
DOI: 10.58119/ulg/49uqnu/i7mtgs
title: Cicero_ProQRoscioComoedo_CicQRosc.BPN

description: :unav
DOI: 10.57745/7qegdo
title: 20191106_18-055_15-2bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 6hours WITHOUT Vancomycin. Biological replicate 'C'. SDS Fraction 2/2.
DOI: 10.58119/ulg/49uqnu/eztazt
title: Cato_CatoAgricultura_CatAgr.BPN

description: :unav
DOI: 10.57745/uttvvd
title: 20191106_18-055_17-1bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 6hours WITH Vancomycin. Biological replicate 'B'. SDS Fraction 1/2.
DOI: 10.5281/zenodo.8386974
title: MM and QMMM trayectories from "Conformational Changes and ATP Hydrolysis in Zika Helicase. The Molecular Basis of a Biomolecular Motor Unveiled by Multiscale Simulations"

description: Here are provided two trayectories from the results of "Conformational Changes and ATP Hydrolysis in Zika Helicase. The Molecular Basis of a Biomolecular Motor Unveiled by Multiscale Simulations". <em>ZikaNS3h-MMtrajectory.nc</em> contains a Molecular Mechanics MD simulation of the system with ATP bound to the active site. <em>TS1-mech1-QMMMtrajectory.nc</em> contains a QMMM MD simulation of the system with TS1 of the base-assisted mechanism bound to the active site. <em>ZikaNS3h.prmtop</em> is the parameter file.
DOI: 10.5281/zenodo.8386973
title: MM and QMMM trayectories from "Conformational Changes and ATP Hydrolysis in Zika Helicase. The Molecular Basis of a Biomolecular Motor Unveiled by Multiscale Simulations"

description: Here are provided two trayectories from the results of "Conformational Changes and ATP Hydrolysis in Zika Helicase. The Molecular Basis of a Biomolecular Motor Unveiled by Multiscale Simulations". <em>ZikaNS3h-MMtrajectory.nc</em> contains a Molecular Mechanics MD simulation of the system with ATP bound to the active site. <em>TS1-mech1-QMMMtrajectory.nc</em> contains a QMMM MD simulation of the system with TS1 of the base-assisted mechanism bound to the active site. <em>ZikaNS3h.prmtop</em> is the parameter file.
DOI: 10.57745/oe4dlu
title: 20191106_18-055_15-1bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 6hours WITHOUT Vancomycin. Biological replicate 'C'. SDS Fraction 1/2.
DOI: 10.58119/ulg/49uqnu/4obizu
title: Caesar_BellumCivile_CaesBC2.BPN

description: :unav
DOI: 10.57745/xyy2bi
title: 20191106_18-055_16-2bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 6hours WITH Vancomycin. Biological replicate 'A'. SDS Fraction 2/2.
DOI: 10.58119/ulg/49uqnu/fulvtg
title: Cicero_InSenatuInTogaCandidaContraCAntoniumEtLCatilinamCompetitoresFragmenta_CicTogCan.BPN

description: :unav
DOI: 10.58119/ulg/49uqnu/ob5v8g
title: Horatius_HorSermones_HorSerm2.BPN

description: :unav
DOI: 10.57745/nyxrvs
title: 20191106_18-055_16-1bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 6hours WITH Vancomycin. Biological replicate 'A'. SDS Fraction 1/2.
DOI: 10.57745/uijxgp
title: 20191106_18-055_19-2bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 12hours WITHOUT Vancomycin. Biological replicate 'A'. SDS Fraction 2/2.
DOI: 10.58119/ulg/49uqnu/8e3kid
title: Seneca_AdPolybiumDeConsolatione_SenPolyb.BPN

description: :unav
DOI: 10.57745/y84fnz
title: 20191106_18-055_18-2bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 6hours WITH Vancomycin. Biological replicate 'C'. SDS Fraction 2/2.
DOI: 10.58119/ulg/49uqnu/cuyfyo
title: Seneca_Phoenissae_SenPhoen.BPN

description: :unav
DOI: 10.5066/p9xuh9sr
title: Peak-Flow Frequency Analysis for 464 U.S. Geological Survey Streamgages in Illinois, Indiana, and Wisconsin, Based on Data Through Water Year 2017

description: The U.S. Geological Survey (USGS) Central Midwest Water Science Center (CMWSC) completed a report (Over and others, 2023) documenting methods for peak-flow frequency analysis in Illinois following Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in Illinois, Indiana, and Wisconsin, based on data through water year 2017 (a water year is the period from October 1 to September 30 and is designated by the year in which it ends; for example, water year 2017 was from October 1, 2016, to September 30, 2017). References Cited: Over, T.M., Marti, M.K., O'Shea, P.S., Sharpe, J.B., 2023, Estimating peak-flow quantiles for selected annual exceedance probabilities in Illinois (Report No. FHWA-ICT-23-014). Illinois Center for Transportation. https://doi.org/10.36501/0197-9191/23-019.
DOI: 10.57745/vgp1yk
title: 20191106_18-055_20-1bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 12hours WITHOUT Vancomycin. Biological replicate 'B'. SDS Fraction 1/2.
DOI: 10.57745/ycsggw
title: 20191106_18-055_18-1bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 6hours WITH Vancomycin. Biological replicate 'C'. SDS Fraction 1/2.
DOI: 10.58119/ulg/49uqnu/kvgin6
title: Plautus_Amphitruo_PlAmphi.BPN

description: :unav
DOI: 10.57745/ubfxjv
title: 20191106_18-055_19-1bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 12hours WITHOUT Vancomycin. Biological replicate 'A'. SDS Fraction 1/2.
DOI: 10.58119/ulg/49uqnu/8h70xb
title: Curtius_CurtiusHistoriaeAlexandriMagni_QCurt08.BPN

description: :unav
DOI: 10.58119/ulg/49uqnu/7m8h5r
title: Plautus_Bacchides_PlBacch.BPN

description: :unav
DOI: 10.57745/gbtjdj
title: 20191106_18-055_21-1bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 12hours WITHOUT Vancomycin. Biological replicate 'C'. SDS Fraction 1/2.
DOI: 10.57745/xxkgdy
title: 20191106_18-055_22-1bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 12hours WITH Vancomycin. Biological replicate 'A'. SDS Fraction 1/2.
DOI: 10.58119/ulg/49uqnu/rm2o1c
title: Cicero_InVerremActioSecunda_Cic2Ver4.BPN

description: :unav
DOI: 10.58119/ulg/49uqnu/6ak3lc
title: Cicero_InCatilinam_CicCat4.BPN

description: :unav
DOI: 10.5517/ccdc.csd.cc29z0jv
title: CCDC 2144007: Experimental Crystal Structure Determination

description: Related Article: Ji Guo, Junrui Liu, Yingcui Cui, Chuanhong Liu, Yangming Wang, Mou Wang, Danmeng Huang, Guanying Chen, Wei Wang, Debin Xia, Xikui Fang|2022|Chemical Science|13|5718|doi:10.1039/D2SC00533F
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.cc2bs8cs
title: CCDC 2168275: Experimental Crystal Structure Determination

description: Related Article: Zheng Tang, Jun Wen, Gui-Lin Zhuang, Rong-Jia Wei, Xiao-Peng Sun, Zi-Shuo Yao, Jun Tao|2022|Inorg.Chem.|62|266|doi:10.1021/acs.inorgchem.2c03364
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: 10.57745/n89eem
title: 20191106_18-055_21-2bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 12hours WITHOUT Vancomycin. Biological replicate 'C'. SDS Fraction 2/2.
DOI: 10.5517/ccdc.csd.cc2bs8dt
title: CCDC 2168276: Experimental Crystal Structure Determination

description: Related Article: Zheng Tang, Jun Wen, Gui-Lin Zhuang, Rong-Jia Wei, Xiao-Peng Sun, Zi-Shuo Yao, Jun Tao|2022|Inorg.Chem.|62|266|doi:10.1021/acs.inorgchem.2c03364
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: 10.57745/fmohgb
title: 20191106_18-055_22-2bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 12hours WITH Vancomycin. Biological replicate 'A'. SDS Fraction 2/2.
DOI: 10.13020/n6jw-zc39
title: Access Across America: Bike 2021 Data

description: These data were created as part of a study that examined the accessibility to jobs by bicycling across the United States. It is the most detailed evaluation to date of access to jobs by biking, and incorporates a Level of Traffic Stress analysis to allow calculation of access to jobs on bike networks of different traffic stress tolerances. This dataset allows for a direct comparison of the biking accessibility performance of America's largest metropolitan areas. These data are part of a longitudinal study. Previous datasets (Access Across America: Bike 2019) are available at https://conservancy.umn.edu/handle/11299/218194.
description: This dataset provides a summary of the worker-weighted access by different census geography levels and travel times for each U.S. state. The worker-weighted access here represents the number of jobs a person can reach at 8am from a specific census area within a given travel time threshold. The travel time threshold are in integer seconds, at intervals from 300 (5 min) to 3600 (1 hour). Results for bike data are for LTS (Level of Traffic Stress) = 2, corresponding to what most adult riders would utilize comfortably. For more detail, examine Access Across America-Bike2021-Methodology.pdf in this repository. Census levels included in this dataset are: Block, Block Group, Census Tract, County, and State. The file-naming system for the data files is [state]_[statecode]_[mode]_[census_level]_[year].csv. These files contain the data by mode aggregated to different Census levels. **Important Note: Due to its large size, the 'Block' level data file should not be opened outside of a person's coding platform. Attempting to open this file in Excel or a similar spreadsheet program would cut off a significant amount of data points.** Data fields included in the data are: 1. mode: the type of travel modes, one of auto; bike; or transit; 2. year: National Accessibility Evaluation data year, the year for which this dataset is relevant; 3. parent_area: the ID of the containing geography within which the data averages are calculated; 4. summary_level: the level of geography at which averages are calculated; one of state, county, census tract, block group, or block; 5. geoid: the ID of the particular census geography for which the data averages are calculated; 6. threshold: the travel time threshold in seconds, ranging from 300 to 3600 seconds; 7. weighted_average: the average number of jobs a person can reach from a given census area within the travel time threshold for a specific mode
DOI: 10.6084/m9.figshare.24195576
title: Raw_Image.zip

description: This is the raw data for intussusception，including crescent and sleeve sign.
DOI: 10.58119/ulg/49uqnu/r6wjqq
title: Cicero_ProOppioFragmenta_CicOppio.BPN

description: :unav
DOI: 10.58119/ulg/49uqnu/uc39b5
title: Plinius_PliniusEpistulae_PliEp05.BPN

description: :unav
DOI: 10.58119/ulg/49uqnu/v7nwww
title: Plinius_PliniusEpistulae_PliEp03.BPN

description: :unav
DOI: 10.57745/apd9sn
title: 20191106_18-055_20-2bis.mzXML

description: LC-MSMS Analysis of Staphylococcus aureus HG003 extracellular vesicules after 12hours WITHOUT Vancomycin. Biological replicate 'B'. SDS Fraction 2/2.
DOI: 10.58119/ulg/49uqnu/8mfsig
title: Seneca_DeIra_SenIra3.BPN

description: :unav
DOI: 10.58119/ulg/27vzid/zzflat
title: SenHelvi.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/1fg9cg
title: CatOrati.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/lbijyr
title: Cic_FD02.dat

description: :unav
DOI: 10.58119/ulg/27vzid/b7btvw
title: OviRemAm.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/8s0hqq
title: QuCurce.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/qyzfnx
title: PlaAsina.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/lusrmv
title: CicOffic.dat

description: :unav
DOI: 10.58119/ulg/27vzid/tbdap3
title: VirBucol.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/bhmx3g
title: CICDTULL.DAT

description: :unav
DOI: 10.6084/m9.figshare.24212745.v1
title: 20230929_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24212745
title: 20230929_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.58119/ulg/27vzid/qwmlfh
title: PlaAulul.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/0ecniz
title: TacGerma.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/6xbkg6
title: SenTHerF.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/u1cfv4
title: CatFragm.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/qllhfj
title: CicSenec.dat

description: :unav
DOI: 10.25794/reference/fwxprqqi
title: Xtt-CFBP2054
DOI: 10.58119/ulg/27vzid/zyulbg
title: VirGeorg.dat

description: :unav
DOI: 10.58119/ulg/27vzid/81qqmb
title: CICDRABI.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/zqitea
title: CICDMURE.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/bvfe7z
title: PliPanTr.dat

description: :unav
DOI: 10.58119/ulg/27vzid/1bnase
title: SenPolyb.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/qhhbtq
title: CICDMILO.DAT

description: :unav
DOI: 10.3886/e175582v1-141887
title: Data and Code for: Social Media and Mental Health

description: The diffusion of social media coincided with a worsening of mental health conditions among adolescents and young adults in the United States, giving rise to speculation that social media might be detrimental to mental health. In this paper, we provide quasi-experimental estimates of the impact of social media on mental health by leveraging a unique natural experiment: the staggered introduction of Facebook across U.S. colleges. Our analysis couples data on student mental health around the years of Facebook's expansion with a generalized difference-in-differences empirical strategy. We find that the roll-out of Facebook at a college increased symptoms of poor mental health, especially depression. We also find that, among students predicted to be most susceptible to mental illness, the introduction of Facebook led to increased utilization of mental healthcare services. Lastly, we find that, after the introduction of Facebook, students were more likely to report experiencing impairments to academic performance resulting from poor mental health. Additional evidence on mechanisms suggests that the results are due to Facebook fostering unfavorable social comparisons.
DOI: 10.58119/ulg/27vzid/su8fah
title: SenProvi.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/y1gnsl
title: CICDLMAN.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/6pr37i
title: SenTThye.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/rt6bt9
title: CICDSCAU.DAT

description: :unav
DOI: 10.5281/zenodo.8379858
title: Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 1)

description: Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 1) https://sites.google.com/view/icassp2024-spgc-3dcbct/home Please download all files (of all parts, 1-5) into one folder, and then merge them together with: <pre><code class="language-bash">$ zip -s 0 train.zip --out train_unsplit.zip </code></pre> This will create a new zip file, "train_unsplit.zip" that then you can unzip with your favorite tool, e.g. <pre><code class="language-bash">$ unzip train_unsplit.zip</code></pre> The CBCT geometry required to be used image size : [300 300 300] mm<br> image shape : [256 256 256] voxels<br> voxel size : [1.171875 1.171875 1.171875] mm<br> detector shape : [256 256] pixels<br> detector size : [600, 600] mm<br> pixel size : [2.34375, 2.34375] mm<br> distance source origin (axis of rotation, center of image) : 575 mm<br> distance source to detector : 1050 mm We recommend zenodo_get to download the files:<br> https://github.com/dvolgyes/zenodo_get Remember that to be part of the challenge you need to register in the webpage above.
DOI: 10.5281/zenodo.8387218
title: sarsia_tubulosa_spades_01.fasta.gz

description: .
DOI: 10.58119/ulg/27vzid/rjomvg
title: Cic_FD11.dat

description: :unav
DOI: 10.5281/zenodo.8379857
title: Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 1)

description: Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 1) https://sites.google.com/view/icassp2024-spgc-3dcbct/home Please download all files (of all parts, 1-5) into one folder, and then merge them together with: <pre><code class="language-bash">$ zip -s 0 train.zip --out train_unsplit.zip </code></pre> This will create a new zip file, "train_unsplit.zip" that then you can unzip with your favorite tool, e.g. <pre><code class="language-bash">$ unzip train_unsplit.zip</code></pre> The CBCT geometry required to be used image size : [300 300 300] mm<br> image shape : [256 256 256] voxels<br> voxel size : [1.171875 1.171875 1.171875] mm<br> detector shape : [256 256] pixels<br> detector size : [600, 600] mm<br> pixel size : [2.34375, 2.34375] mm<br> distance source origin (axis of rotation, center of image) : 575 mm<br> distance source to detector : 1050 mm We recommend zenodo_get to download the files:<br> https://github.com/dvolgyes/zenodo_get Remember that to be part of the challenge you need to register in the webpage above.
DOI: 10.5281/zenodo.8380037
title: Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 2)

description: Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 2) https://sites.google.com/view/icassp2024-spgc-3dcbct/home Please download all files (of all parts, 1-5) into one folder, and then merge them together with: <pre><code class="language-bash">$ zip -s 0 train.zip --out train_unsplit.zip </code></pre> This will create a new zip file, "train_unsplit.zip" that then you can unzip with your favorite tool, e.g. <pre><code class="language-bash">$ unzip train_unsplit.zip</code></pre> The CBCT geometry required to be used image size : [300 300 300] mm<br> image shape : [256 256 256] voxels<br> voxel size : [1.171875 1.171875 1.171875] mm<br> detector shape : [256 256] pixels<br> detector size : [600, 600] mm<br> pixel size : [2.34375, 2.34375] mm<br> distance source origin (axis of rotation, center of image) : 575 mm<br> distance source to detector : 1050 mm We recommend zenodo_get to download the files:<br> https://github.com/dvolgyes/zenodo_get Remember that to be part of the challenge you need to register in the webpage above.
DOI: 10.5281/zenodo.8380036
title: Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 2)

description: Train Dataset for the ICASSP-2024 3D-CBCT challenge (Part 2) https://sites.google.com/view/icassp2024-spgc-3dcbct/home Please download all files (of all parts, 1-5) into one folder, and then merge them together with: <pre><code class="language-bash">$ zip -s 0 train.zip --out train_unsplit.zip </code></pre> This will create a new zip file, "train_unsplit.zip" that then you can unzip with your favorite tool, e.g. <pre><code class="language-bash">$ unzip train_unsplit.zip</code></pre> The CBCT geometry required to be used image size : [300 300 300] mm<br> image shape : [256 256 256] voxels<br> voxel size : [1.171875 1.171875 1.171875] mm<br> detector shape : [256 256] pixels<br> detector size : [600, 600] mm<br> pixel size : [2.34375, 2.34375] mm<br> distance source origin (axis of rotation, center of image) : 575 mm<br> distance source to detector : 1050 mm We recommend zenodo_get to download the files:<br> https://github.com/dvolgyes/zenodo_get Remember that to be part of the challenge you need to register in the webpage above.
DOI: 10.5281/zenodo.8387217
title: sarsia_tubulosa_spades_01.fasta.gz

description: .
DOI: 10.58119/ulg/27vzid/r2bcgl
title: SenBrVit.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/tn1zdx
title: SenTAgam.DAT

description: :unav
DOI: 10.58119/ulg/27vzid/mp1h4s
title: OviArsAm.DAT

description: :unav