cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.27187
title: Time-series data for smoking and vaping prevalence in England
title: Time-series data for smoking and vaping prevalence in England

description: This dataset contains a retrospective time-series analysis of seven key public health parameters related to smoking and vaping trends in England from 2011 to 2023. The data was sourced from publicly available records from the Office for Health Improvement and Disparities.The dataset includes time-series records for the following parameters: adult smoking prevalence, youth smoking rates, youth vaping rates, maternal smoking prevalence, smoking-attributable hospital admissions, smoking-attributable mortality, and quit success rates.The data is presented in a structured format suitable for time-series analysis and forecasting. Associated with this dataset are the Python scripts used to apply forecasting models, including Exponential Smoothing (ETS), Autoregressive Integrated Moving Average (ARIMA), and Prophet. These scripts detail the data preparation, model application, and calculation of accuracy metrics (MAPE and MAE), enabling reproducibility of the analysis. The data and code are provided to facilitate further public health research, trend analysis, and model validation by the broader scientific community.
description: This dataset contains a retrospective time-series analysis of seven key public health parameters related to smoking and vaping trends in England from 2011 to 2023. The data was sourced from publicly available records from the Office for Health Improvement and Disparities.The dataset includes time-series records for the following parameters: adult smoking prevalence, youth smoking rates, youth vaping rates, maternal smoking prevalence, smoking-attributable hospital admissions, smoking-attributable mortality, and quit success rates.The data is presented in a structured format suitable for time-series analysis and forecasting. Associated with this dataset are the Python scripts used to apply forecasting models, including Exponential Smoothing (ETS), Autoregressive Integrated Moving Average (ARIMA), and Prophet. These scripts detail the data preparation, model application, and calculation of accuracy metrics (MAPE and MAE), enabling reproducibility of the analysis. The data and code are provided to facilitate further public health research, trend analysis, and model validation by the broader scientific community.
DOI: 10.22002/w40zn-j7m76
title: Thermococcus koakarensis

description: Imaging Thermococcus koakarensis flagella
description: <strong>Tilt Series Date:</strong> 2016-08-25</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Thermococcus kodakarensis</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.5°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Robert Gunsalus, UCLA. Data collected and processed by Kiwoo and Debnath Ghosal</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Standard Tk medium with starch and sulfur</p>
<strong>Sample Preparation:</strong> 8 grids were frozen for the this strain. Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 3.5 sec. Wait time 8 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-7/rawdata/</p>Tk_250820160007.mrc,  Tilt Series (Pixel Size 0.39 nm), 2.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-7/rawdata/Tk_250820160007.mrc"
        > <i class="download icon"></i> Download </a></p>

        Tk_250820160007_full.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2016-08-25-7/3dimage_78580/Tk_250820160007_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/9hawf-kn871
title: perfusiondcrp_fixd_good track

description: MOh and Sahand
description: <strong>Tilt Series Date:</strong> 2015-08-24</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Shewanella oneidensis</p>
<strong>Strain:</strong> MR-1</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -8.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> The sample was grown in perfusion chamber and fixed for 30 minutes with 4% formaldehyde. Then washed 3 times in distilled water for 1 minute each. The sample was blotted in a manual plunger with 1.5ul gold beads.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Lm is taken before and after fixing. In the LM after fixing the nanowires were shrunk. Although the cells looked good with formaldehyde we had lost long nanowires. 2 squares were imaged with correlation anyway.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-24-18/rawdata/</p>perfusiondcrp_sq130010.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-24-18/rawdata/perfusiondcrp_sq130010.mrc"
        > <i class="download icon"></i> Download </a></p>

        perfusiondcrp_sq130010_part121_53.rec,  Reconstruction (Pixel Size 1.56 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-24-18/3dimage_60724/perfusiondcrp_sq130010_part121_53.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/vfj84-9kz92
title: Coxiella_burnetii_ wtACCMD_pH4d5

description: Coxiella burnetii Nine Mile phase II clone 4 (NMIIC4) strain. Wild-type cells day-5 culture. Cells grown in acidic media ACCMD and pH 4.75
description: <strong>Tilt Series Date:</strong> 2017-08-15</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Coxiella burnetii</p>
<strong>Strain:</strong> Nine Mile phase II clone 4</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -7.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Robert Heinzen. Data collected and processed by Debnath Ghosal using Caltech tomography pipeline.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown in Robert Heinzen's lab @NIAID and ~50 ul cells were sent to us.</p>
<strong>Sample Preparation:</strong> Refer to Heinzen lab. Freezing: 100% humidity, 4µl sample, Blot force 6, blot time 4 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-08-15-107/rawdata/</p>Cb_20170817_Cb1pH4d5p0036.mrc,  Tilt Series (Pixel Size 0.39 nm), 882.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-08-15-107/rawdata/Cb_20170817_Cb1pH4d5p0036.mrc"
        > <i class="download icon"></i> Download </a></p>

        Cb_20170817_Cb1pH4d5p0036.rec,  Reconstruction (Pixel Size 1.56 nm), 890.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-08-15-107/3dimage_88149/Cb_20170817_Cb1pH4d5p0036.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.57760/sciencedb.27220
title: Coupled thermal–optical–structural dynamics enable nonlinear limiting in mid-infrared VO₂/SiO₂ films
title: Coupled thermal–optical–structural dynamics enable nonlinear limiting in mid-infrared VO₂/SiO₂ films

description: Optical limiting in the mid-infrared regime is a key functionality for next-generation photonic protection and sensing systems, yet the underlying response mechanisms of phase-transition materials in this spectral range remain poorly understood. Here, we report a VO₂/SiO₂ heterostructure that exhibits self-regulated optical limiting under continuous-wave (CW) excitation at 3.8 μm. In this system, the optical transmission, thermal evolution, and structural phase transition are strongly coupled. Through real-time dual-band measurements, we uncover a characteristic four-stage dynamical pathway, comprising a thermal-inertia response, a threshold-activated insulator–metal transition (IMT), a saturated optical-limiting regime, and a spontaneous cooling recovery. Importantly, we identify that at the limiting threshold, the thermal diffusion pathway shifts from predominantly lateral heat accumulation to vertically focused conduction. This shift emerges as the critical mechanism governing the onset of the optical limiting response. Through the integration of in situ spectral inversion and multiphysics simulations, we construct a predictive thermo-optical model that captures the coupled dynamics of phase transition. The findings not only elucidate the physical mechanisms underlying VO₂-based optical limiting in the mid-infrared, but also provide a theoretical basis for the design of next-generation optical limiting devices. 
description: Optical limiting in the mid-infrared regime is a key functionality for next-generation photonic protection and sensing systems, yet the underlying response mechanisms of phase-transition materials in this spectral range remain poorly understood. Here, we report a VO₂/SiO₂ heterostructure that exhibits self-regulated optical limiting under continuous-wave (CW) excitation at 3.8 μm. In this system, the optical transmission, thermal evolution, and structural phase transition are strongly coupled. Through real-time dual-band measurements, we uncover a characteristic four-stage dynamical pathway, comprising a thermal-inertia response, a threshold-activated insulator–metal transition (IMT), a saturated optical-limiting regime, and a spontaneous cooling recovery. Importantly, we identify that at the limiting threshold, the thermal diffusion pathway shifts from predominantly lateral heat accumulation to vertically focused conduction. This shift emerges as the critical mechanism governing the onset of the optical limiting response. Through the integration of in situ spectral inversion and multiphysics simulations, we construct a predictive thermo-optical model that captures the coupled dynamics of phase transition. The findings not only elucidate the physical mechanisms underlying VO₂-based optical limiting in the mid-infrared, but also provide a theoretical basis for the design of next-generation optical limiting devices.
DOI: 10.22002/p40x6-t7s24
title: V. cholerae JAS290 delta-tcpS

description: Classical strain with ctxA deletionStrain name JAS290 (tcpS gene knockout)Cell harbors pMT5 plasmid (inducible toxT)
description: <strong>Tilt Series Date:</strong> 2016-08-07</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> O395-N1</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 140.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain from Gabriela Kovacikova</p>
<strong>Purification / Growth Conditions / Treatment:</strong> O/N cultures of Vibrio cholerae O395 N1 pMT5 grown in LB, 1 mM IPTG and 100 ug/mL ampicillin.</p>
<strong>Sample Preparation:</strong> Vitrobot (MK iv) settings: 100% humidity, 3.5µl sample, 10 mg/ml BSA treated gold. Blot force 6, blot time 3 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2016-08-07-1/rawdata/</p>20160807_YWC217_10001.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2016-08-07-1/rawdata/20160807_YWC217_10001.mrc"
        > <i class="download icon"></i> Download </a></p>

        20160807_YWC217_10001_full.rec,  Reconstruction (Pixel Size 1.56 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2016-08-07-1/3dimage_76454/20160807_YWC217_10001_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.57760/sciencedb.27162
title: DDFNet-SD: A High-Resolution Global Ocean Subsurface Density Dataset via Dual-task Dense-Former
title: DDFNet-SD: A High-Resolution Global Ocean Subsurface Density Dataset via Dual-task Dense-Former

description: The DDFNet-SD dataset is a monthly global subsurface ocean density product generated using the Dual-task Dense-Former Network (DDFNet). It spans January 1993 to December 2023, comprising 372 months of data with a horizontal resolution of 0.25° × 0.25°. The dataset covers 27 standard depth levels from the surface to 2000 m. It is provided in NetCDF4 format and includes variables for density (SD), time, depth, longitude, and latitude, with units in kg/m³. The dataset is designed for applications in global and regional ocean density structure analysis, climate variability studies, and model validation.
description: The DDFNet-SD dataset is a monthly global subsurface ocean density product generated using the Dual-task Dense-Former Network (DDFNet). It spans January 1993 to December 2023, comprising 372 months of data with a horizontal resolution of 0.25° × 0.25°. The dataset covers 27 standard depth levels from the surface to 2000 m. It is provided in NetCDF4 format and includes variables for density (SD), time, depth, longitude, and latitude, with units in kg/m³. The dataset is designed for applications in global and regional ocean density structure analysis, climate variability studies, and model validation.
DOI: 10.5281/zenodo.16990682
title: Exposure and buried dating of Huashan samples

description: Dears users,

Here the explanation to use these matlab codes.

code : "fitting_no_erosion_FOM"--> Assuming no erosion, the OSL-DPs of individual samples were fitted using the FOM to obtain the depth of half saturation (DHS) and grouping.

code : "fitting_no_erosion_GOM_r2"--> Assuming no erosion, the OSL-DPs of individual samples were fitted using the GOM (r=2) to obtain DHS and grouping.

code "fitting_uderground_GOM_r2"--> The OSL-DPs of subsurface samples were fitted with the GOM (r=2) to obtain the DHS and grouping.

code "get_t_groups_erosion_corr_GOM_r1"--> The OSL-DPs corrected for erosion were fitted with the GOM (r=1) (like FOM) to determine the exposure ages of samples from different episodes.

code "get_t_groups_erosion_corr_GOM_r2"--> The OSL-DPs corrected for erosion were fitted with the GOM (r=2) (like FOM) to determine the exposure ages of samples from different episodes.

code "get_t_groups_erosion_corr_GOM_r3"--> The OSL-DPs corrected for erosion were fitted with the GOM (r=3) (like FOM) to determine the exposure ages of samples from different episodes.

The txt data shows the OSL-depth actually measured.

Please contact me for any informations: luomingearth@163.com

Cheers,

Ming Luo
DOI: 10.22002/2apxz-8bg95
title: perfusion_dcrp_fixed

description: This sample was fixed with 2.5% glutaraldehyde for 1 hour. The cells look sick, the outer membrane looks bad. Fixing for 1 hour turns out to be bad,need to fix for lesser time.
description: <strong>Tilt Series Date:</strong> 2015-08-18</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Shewanella oneidensis</p>
<strong>Strain:</strong> MR-1</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Moh and Sahand</p>
<strong>Purification / Growth Conditions / Treatment:</strong> The sample was grown in perfusion chamber and fixed for 1hour with 2.5% glutaraldehyde. Then washed 3 times in distilled water for 1 minute each. The sample was blotted in a manual plunger with 1ul gold beads.</p>
<strong>Sample Preparation:</strong> The ice was too thick in the squares for which LM images were available, so could not correlate. Took tomograms of all bugs in a square.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-18-32/3dimage_60507/</p>perfusion_dcrp_atlas10032_part121_60.rec,  Reconstruction (Pixel Size 2.4 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-18-32/3dimage_60507/perfusion_dcrp_atlas10032_part121_60.rec"
        > <i class="download icon"></i> Download </a></p>

        perfusion_dcrp_atlas10032.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-18-32/rawdata/perfusion_dcrp_atlas10032.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.57760/sciencedb.27207
title: Key Imidazolyl Groups That Induce Phenylalanine Flipping Enhance the Efficacy of Oral BRD9 Inhibitors for AML Treatment
title: Key Imidazolyl Groups That Induce Phenylalanine Flipping Enhance the Efficacy of Oral BRD9 Inhibitors for AML Treatment

description: This zip package includes all the raw data involving in the article "Key Imidazolyl Groups That Induce Phenylalanine Flipping Enhance the Efficacy of Oral BRD9 Inhibitors for AML Treatment"submitted to the journal of Acta Pharmaceutica Sinica B.
description: This zip package includes all the raw data involving in the article "Key Imidazolyl Groups That Induce Phenylalanine Flipping Enhance the Efficacy of Oral BRD9 Inhibitors for AML Treatment"submitted to the journal of Acta Pharmaceutica Sinica B.
DOI: 10.22002/bd42v-gq864
title: Coxiella_ Verocells_28dpi

description: Coxiella burnetii Nine Mile phase II clone 4 (NMIIC4) strain. Coxiella cells purified from infected Vero cells.
description: <strong>Tilt Series Date:</strong> 2017-09-25</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Coxiella burnetii</p>
<strong>Strain:</strong> Nine Mile phase II clone 4</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 130.0 eV/Å²,  defocus: -7.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain sent to us by Robert Heinzen. Data collected and processed by Debnath Ghosal using Caltech tomography pipeline.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Refer to Heinzen lab.</p>
<strong>Sample Preparation:</strong> Freezing: 100% humidity, 4µl sample, Blot force 6, blot time 4 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200. Add gold to cells prior to freezing: 1ul of gold to 4 ul of cells, freeze.T</p>
  dga2017-09-25-12_slicer18920.jpg: finger like extension from the inner membrane to the cytoplasm
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-09-25-12/rawdata/</p>Cb_vero_201709250012.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-09-25-12/rawdata/Cb_vero_201709250012.mrc"
        > <i class="download icon"></i> Download </a></p>

        Cb_vero_201709250012.rec,  Reconstruction (Pixel Size 1.56 nm), 889.0 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2017-09-25-12/3dimage_88407/Cb_vero_201709250012.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/3eea4-y2k30
title: perfusion_dcrp_fixed

description: This sample was fixed with 2.5% glutaraldehyde for 1 hour. The cells look sick, the outer membrane looks bad. Fixing for 1 hour turns out to be bad,need to fix for lesser time.
description: <strong>Tilt Series Date:</strong> 2015-08-18</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Shewanella oneidensis</p>
<strong>Strain:</strong> MR-1</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Moh and Sahand</p>
<strong>Purification / Growth Conditions / Treatment:</strong> The sample was grown in perfusion chamber and fixed for 1hour with 2.5% glutaraldehyde. Then washed 3 times in distilled water for 1 minute each. The sample was blotted in a manual plunger with 1ul gold beads.</p>
<strong>Sample Preparation:</strong> The ice was too thick in the squares for which LM images were available, so could not correlate. Took tomograms of all bugs in a square.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-18-12/3dimage_60465/</p>perfusion_dcrp_atlas10012_part121_13.rec,  Reconstruction (Pixel Size 2.4 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-18-12/3dimage_60465/perfusion_dcrp_atlas10012_part121_13.rec"
        > <i class="download icon"></i> Download </a></p>

        perfusion_dcrp_atlas10012.mrc,  Tilt Series (Pixel Size 0.6 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-08-18-12/rawdata/perfusion_dcrp_atlas10012.mrc"
        > <i class="download icon"></i> Download </a></p>