cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/n1fsb-yfp89
title: H-pylori_dFliM_GC

description: These are fast tilt series taken by Georges Chreifi on the Krios for dFliM mutant of Helicobacter  .  pylori.
description: <strong>Tilt Series Date:</strong> 2019-10-28</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -6.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> I received these cells from Carrie Schaffer from the university of Kentucky. These are wild type cells but they . don't express complete FliP protein. Therefore, they don't assemble full flagella. We knocked out FliM protein . of the flagellar motor to study the early assembly states of flagellar motor.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> I grew the cells on blood agar plates from -80 stock at 37C with 5% CO2. the cells were grown . for 48 hours and then spread on a new plate with a cotton swab and left to grow for 24 hours. . The grids were prepared from both batches (48 hours, and 24 hours, separately).</p>
<strong>Sample Preparation:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot . time 3, drain time 1 OR blot force -3, blot time 4, drain time 1, 100% humidity. Cu grids. 10 nm . gold.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-10-28-173/rawdata/</p>Hpylori_FliM_175_af.mrc,  Tilt Series (Pixel Size 0.449 nm), 3.9 GB  
        
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        > <i class="download icon"></i> Download </a></p>

        Hpylori_FliM_175_af_full.rec,  Reconstruction (Pixel Size 1.796 nm), 737.3 MB  
        
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DOI: 10.22002/7yh4h-5cz35
title: Vibrio cholerae SAD2090

description: Vibrio, T4P, competence pilus
description: <strong>Tilt Series Date:</strong> 2020-09-09</p>
<strong>Data Taken By:</strong> Stefan Kreida</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> SAD2090</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -8.7 μm,  magnification: 26000x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain from Ankur B Dalia, ankdalia@indiana.edu, PhD, Assistant Professor, Indiana University. . Cell growth & preparation, data collection and frame alignment by Stefan Kreida.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> 100 uL O/N preculture used to inoculate 3 mL LB, 20 mM MgSO4, 10 mM CaCl2, 100 uM IPTG. . Cells were grown for 7 h (30C) on 170 rpm. 100 uL culture was then spun down at 5,000 x g (5') . and resuspended in 100 uL aquarium salt (Instant Ocean), 7 g/L. </p>
<strong>Sample Preparation:</strong> BSA/10 nm gold suspension: 1 mL 10 nm gold suspension mixed with 0.25 mL 5% BSA, spun . at 14,000 rpm (10'). Supernatant removed so that 35 uL remained, which was used to . resuspend the gold particles. 30 uL cells mixed with 5 uL gold suspension. 3 uL sample . applied in Vitrobot at 100% humidity. Grid: Quantifoil R2/2, Cu NH2, LotID 186865.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/skv2020-09-09-1/rawdata/</p>G12_SAD2090_TS10_ali.mrc,  Tilt Series (Pixel Size 0.33 nm), 2.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/skv2020-09-09-1/rawdata/G12_SAD2090_TS10_ali.mrc"
        > <i class="download icon"></i> Download </a></p>

        G12_SAD2090_TS10_ali_full.rec,  Reconstruction (Pixel Size 1.32 nm), 737.3 MB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/wpnzy-25e59
title: Hpylori_dfliQ

description: These are fast tilt series taken on the Krios for dFliM mutant of Helicobacter  .  pylori.
description: <strong>Tilt Series Date:</strong> 2019-11-19</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -6.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> I received these cells from Carrie Schaffer from the university of Kentucky. These are wild type cells but they don't express complete FliP protein. Therefore, they don't . assemble full flagella. We knocked out FliQ protein of the flagellar motor to study the early assembly states of flagellar motor.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> I grew the cells on blood agar plates from -80 stock at 37C with 5% CO2. The cells were grown for 48 hours and then spread on a new plate with a cotton swab and left to grow for 24 hours. . The grids . were prepared from both batches (48 hours, and 24 hours, separately).</p>
<strong>Sample Preparation:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot, time 3, drain time 1 OR blot force -3, blot time 4, drain time 1, 100% humidity. Cu grids. . 10 nm gold.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-11-19-115/rawdata/</p>Hpylori_dfliQ_115_af.mrc,  Tilt Series (Pixel Size 0.449 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-11-19-115/rawdata/Hpylori_dfliQ_115_af.mrc"
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        Hpylori_dfliQ_115_af_full.rec,  Reconstruction (Pixel Size 1.796 nm), 737.3 MB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.ysck2p
title: Occurrence Download

description: A dataset containing 497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corvus splendens",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 497 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006337-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/q9ntd-fp634
title: H-pylori_dFliM_GC

description: These are fast tilt series taken by Georges Chreifi on the Krios for dFliM mutant of Helicobacter  .  pylori.
description: <strong>Tilt Series Date:</strong> 2019-10-28</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -6.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> I received these cells from Carrie Schaffer from the university of Kentucky. These are wild type cells but they . don't express complete FliP protein. Therefore, they don't assemble full flagella. We knocked out FliM protein . of the flagellar motor to study the early assembly states of flagellar motor.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> I grew the cells on blood agar plates from -80 stock at 37C with 5% CO2. the cells were grown . for 48 hours and then spread on a new plate with a cotton swab and left to grow for 24 hours. . The grids were prepared from both batches (48 hours, and 24 hours, separately).</p>
<strong>Sample Preparation:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot . time 3, drain time 1 OR blot force -3, blot time 4, drain time 1, 100% humidity. Cu grids. 10 nm . gold.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-10-28-80/rawdata/</p>Hpylori_FliM_082_af.mrc,  Tilt Series (Pixel Size 0.449 nm), 3.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-10-28-80/rawdata/Hpylori_FliM_082_af.mrc"
        > <i class="download icon"></i> Download </a></p>

        Hpylori_FliM_082_af_full.rec,  Reconstruction (Pixel Size 1.796 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-10-28-80/3dimage_107835/Hpylori_FliM_082_af_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/gqpyj-k8v30
title: Helicobacter_Pylori_dFlgs

description: These are H. pylori cells that don't have a complete FliP. In addition, FlgS was knocked out in  .  these cells. The aim is to study the assembly of the flagellar motor and the core complex.
description: <strong>Tilt Series Date:</strong> 2019-09-22</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-50.0°, 50.0°), step: 2°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -8.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> I received these cells from Carrie Schaffer from the university of Kentucky. These are wild . type cells but they don't express complete FliP protein. Therefore, they don't assemble full . flagella. We knocked out FlgS protein of the flagellar motor to study the early assembly . states of flagellar motor.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> I grew the cells on blood agar plates from -80 stock at 37C with 5% CO2. the cells were grown . for 48 hours and then spread on a new plate with a cotton swab and left to grow for 24 hours. . The grids were prepared from both batches (48 hours, and 24 hours, separately).</p>
<strong>Sample Preparation:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot . time 3, drain time 1 OR blot force -3, blot time 4, drain time 1. 100% humidity. Cu grids. 10 nm . gold.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-09-22-105/rawdata/</p>Hpylori_dFlgS58_good.mrc,  Tilt Series (Pixel Size 0.4494 nm), 2.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-09-22-105/rawdata/Hpylori_dFlgS58_good.mrc"
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        Hpylori_dFlgS58_good_full.rec,  Reconstruction (Pixel Size 1.7976 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-09-22-105/3dimage_106647/Hpylori_dFlgS58_good_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/zzfvy-qnw46
title: Helicobacter_Pylori_dFliO

description: These are H. pylori cells that don't have a complete FliP. In addition, FliO was knocked out in  .  these cells. The aim is to study the assembly of the flagellar motor and the core complex.
description: <strong>Tilt Series Date:</strong> 2019-09-21</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-50.0°, 50.0°), step: 2°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -8.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> None</p>
<strong>Collaborators and Roles:</strong> I received these cells from Carrie Schaffer from the university of Kentucky. These are wild . type cells but they don't express complete FliP protein. Therefore, they don't assemble full . flagella. We knocked out FliO protein of the flagellar motor to study the early assembly . . states of flagellar motor.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> I grew the cells on blood agar plates from -80 stock at 37C with 5% CO2. the cells were grown . for 48 hours and then spread on a new plate with a cotton swab and left to grow for 24 hours. . The grids were prepared from both batches (48 hours, and 24 hours, separately).</p>
<strong>Sample Preparation:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot . time 3, drain time 1 OR blot force -3, blot time 4, drain time 1. 100% humidity. Cu grids. 10 nm . gold.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-09-21-2/rawdata/</p>Hpylori_dFliO10.mrc,  Tilt Series (Pixel Size 0.4494 nm), 2.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-09-21-2/rawdata/Hpylori_dFliO10.mrc"
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        Hpylori_dFliO10.mrc.mdoc,  28.0 kB  
        
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DOI: 10.6084/m9.figshare.30008686
title: A Survey of Computer Vision Techniques and Technologies for Interactive Media Design in Extended Reality Environments

description: The integration of computer vision techniques and technologies has become increasingly prevalent in designing natural and intuitive interactions, particularly in extended reality environments. This study aims to explore current trends, challenges, and practices in utilizing computer vision for interactive media design. A systematic literature review was conducted following PRISMA guidelines, based on a PICO-structured eligibility framework. From 94 reviewed studies, 11 computer vision techniques were identified in the design of interactions across virtual, augmented, and mixed realities. Emerging trends and technological dependencies were examined by considering design contexts, user interface utilization, hardware preferences, software libraries, and machine learning models. While many existing studies combine multiple computer vision techniques, this study provides a detailed categorization that clarifies their practical applications in interaction design. The study offers both a reference framework for future research and a practical guide for designers, researchers, and novice practitioners seeking to integrate computer vision into interactive media.
DOI: 10.6084/m9.figshare.30008686.v1
title: A Survey of Computer Vision Techniques and Technologies for Interactive Media Design in Extended Reality Environments

description: The integration of computer vision techniques and technologies has become increasingly prevalent in designing natural and intuitive interactions, particularly in extended reality environments. This study aims to explore current trends, challenges, and practices in utilizing computer vision for interactive media design. A systematic literature review was conducted following PRISMA guidelines, based on a PICO-structured eligibility framework. From 94 reviewed studies, 11 computer vision techniques were identified in the design of interactions across virtual, augmented, and mixed realities. Emerging trends and technological dependencies were examined by considering design contexts, user interface utilization, hardware preferences, software libraries, and machine learning models. While many existing studies combine multiple computer vision techniques, this study provides a detailed categorization that clarifies their practical applications in interaction design. The study offers both a reference framework for future research and a practical guide for designers, researchers, and novice practitioners seeking to integrate computer vision into interactive media.
DOI: 10.6084/m9.figshare.30008688
title: A comparative analysis of housing quality rating systems: insights for contextual adaptation and policy development

description: Housing quality has emerged as a central concern amid growing pressures from urbanization, sustainability imperatives and post-disaster reconstruction. While many sophisticated rating systems were developed to evaluate housing performance, their design and applicability remain poorly understood in contexts with divergent regulatory, institutional and market conditions. This study conducts a comparative analysis of eight internationally recognized housing quality rating systems, guided by an original framework encompassing seven content and procedural dimensions. Through qualitative coding and cross-system synthesis, the research identifies three functional categories, systems that enforce minimum standards, define housing quality across a graded spectrum or facilitate management practices. The analysis reveals that these categories reflect underlying institutional logics, with each system’s effectiveness shaped not only by its technical content but by its alignment with regulatory authority, market incentives and organizational capacity. Rather than supporting direct adoption, the findings emphasize the need for tailored frameworks that respond to local priorities and constraints. Furthermore, the study outlines key operational considerations, such as criteria localization, enforcement infrastructure and evaluation timing, that affect system transferability. Together, these insights provide a foundation for developing housing quality systems that are context-sensitive and institutionally grounded, offering practical guidance for reform and policy adaptation in diverse housing environments.
DOI: 10.6084/m9.figshare.30008688.v1
title: A comparative analysis of housing quality rating systems: insights for contextual adaptation and policy development

description: Housing quality has emerged as a central concern amid growing pressures from urbanization, sustainability imperatives and post-disaster reconstruction. While many sophisticated rating systems were developed to evaluate housing performance, their design and applicability remain poorly understood in contexts with divergent regulatory, institutional and market conditions. This study conducts a comparative analysis of eight internationally recognized housing quality rating systems, guided by an original framework encompassing seven content and procedural dimensions. Through qualitative coding and cross-system synthesis, the research identifies three functional categories, systems that enforce minimum standards, define housing quality across a graded spectrum or facilitate management practices. The analysis reveals that these categories reflect underlying institutional logics, with each system’s effectiveness shaped not only by its technical content but by its alignment with regulatory authority, market incentives and organizational capacity. Rather than supporting direct adoption, the findings emphasize the need for tailored frameworks that respond to local priorities and constraints. Furthermore, the study outlines key operational considerations, such as criteria localization, enforcement infrastructure and evaluation timing, that affect system transferability. Together, these insights provide a foundation for developing housing quality systems that are context-sensitive and institutionally grounded, offering practical guidance for reform and policy adaptation in diverse housing environments.
DOI: 10.22002/128y7-qq481
title: H_pylori_dFliO_GC

description: These are fast tilt series taken by Georges Chreifi on the Krios for dFliO mutant of Helicobacter  .  pylori.
description: <strong>Tilt Series Date:</strong> 2019-10-25</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -6.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> I received these cells from Carrie Schaffer from the university of Kentucky. These are wild . . type cells but they don't express complete FliP protein. Therefore, they don't assemble full . . flagella. We knocked out FliO protein of the flagellar motor to study the early assembly states . of flagellar motor.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> I grew the cells on blood agar plates from -80 stock at 37C with 5% CO2. the cells were grown . . for 48 hours and then spread on a new plate with a cotton swab and left to grow for 24 hours. . . The grids were prepared from both batches (48 hours, and 24 hours, separately).</p>
<strong>Sample Preparation:</strong> The samples were prepared with Vitrobot IV. Blotting conditions were either: blot force 6, blot . . time 3, drain time 1 OR blot force -3, blot time 4, drain time 1, 100% humidity. Cu grids. 10 nm . . gold.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-10-25-139/rawdata/</p>Hpylori_FliO_141_af.mrc,  Tilt Series (Pixel Size 0.449 nm), 3.9 GB  
        
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        Hpylori_FliO_141_af_full.rec,  Reconstruction (Pixel Size 1.796 nm), 737.3 MB  
        
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