cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hftybb3vrx.1
title: Development of an Efficient Artificial Intelligence based Clinical Assessment System for patients with Lumbar Prolapsed Intervertebral Disc and its Correlation with Magnetic Resonance Imaging findings

description: The dataset used for developing and validating the AI-based clinical assessment system for lumbar prolapsed intervertebral disc (PIVD) was constructed through a phased and structured process, beginning with clinical assessments of 12 patients with MRI-confirmed PIVD to identify the most pertinent diagnostic parameters. These parameters, including demographic, anthropometric, symptomatic, and neurological findings, served as the foundation for subsequent data compilation. 
Expert consensus was then obtained from 12 specialists (9 physiotherapists, 2 neurologists, and 1 neurosurgeon) through a Delphi-based survey, where each parameter was rated on a 5-point Likert scale, and those with ≥70% agreement were retained or refined for inclusion. 
Based on these validated parameters, clinical and demographic data were collected from 100 patients with MRI-confirmed lumbar PIVD to create the primary dataset for training and testing the AI system, with variables such as age, gender, BMI, occupation, limb length discrepancy, duration of symptoms, pain, radicular signs, neurological findings, and standard clinical tests recorded and coded into binary, ordinal, or normalized continuous formats to facilitate machine learning processing. 
Finally, a dataset of 29 patients, assessed using the developed AI system and their corresponding MRI diagnoses, was compiled to evaluate the agreement between the AI-based diagnosis and MRI findings, using the same coding approach as the primary dataset to ensure consistency. Together, these datasets formed a comprehensive and standardized framework for parameter determination, AI model training, and diagnostic correlation with MRI as the reference standard.
DOI: 10.22002/23qhk-z2z74
title: NLeGFPBglI UV30min

description: Pseudo HIV, VSV-g, UV treat
description: <strong>Tilt Series Date:</strong> 2013-11-27</p>
<strong>Data Taken By:</strong> Luiza Mendonca</p>
<strong>Species / Specimen:</strong> HIV and deltaNef</p>
<strong>Strain:</strong> </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: -6.0 μm,  magnification: 22500x. </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>Purification / Growth Conditions / Treatment:</strong> UV treated for 30 min</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lmm2013-11-27-11/rawdata/</p>2013nov27_L002_4_uv230minpseudovlp0007.mrc,  Tilt Series (Pixel Size 0.5 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lmm2013-11-27-11/rawdata/2013nov27_L002_4_uv230minpseudovlp0007.mrc"
        > <i class="download icon"></i> Download </a></p>

        2013nov27_L002_4_uv230minpseudovlp0007_full.rec,  Reconstruction (Pixel Size 2.0 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lmm2013-11-27-11/3dimage_35156/2013nov27_L002_4_uv230minpseudovlp0007_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.17632/jrynm735yj
title: Manuscript

description: DATASET OF OUR MANUSCRIPT ENTITLED: "Relationship Between Obesity and Serum Resistin, Apelin, and SREBP-1c Levels: The changes in the analyte levels during weight loss in obese patients"
DOI: 10.17632/jrynm735yj.1
title: Manuscript

description: DATASET OF OUR MANUSCRIPT ENTITLED: "Relationship Between Obesity and Serum Resistin, Apelin, and SREBP-1c Levels: The changes in the analyte levels during weight loss in obese patients"
DOI: 10.15468/dl.ytg9vb
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cachryx defensor"
 ]
}

 The dataset includes 170 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047088-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/2h6em-6ch80
title: Vibrio cholerae stationary 37C

description: Vibrio cholerae grown to stationary 37C in LB
description: <strong>Tilt Series Date:</strong> 2013-12-02</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Vibrio cholerae</p>
<strong>Strain:</strong> TRH7000</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -10.0 μm,  magnification: 33000x. </p>
<strong>Microscope:</strong> Janelia Titan</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
  aba2013-12-02-5_slicer8360.jpg: Extracellular vesicle
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-12-02-5/rawdata/</p>VibrioLB0001.mrc,  Tilt Series (Pixel Size 0.66 nm), 3.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-12-02-5/rawdata/VibrioLB0001.mrc"
        > <i class="download icon"></i> Download </a></p>

        VibrioLB0001_part121_2.rec,  Reconstruction (Pixel Size 2.64 nm), 688.9 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-12-02-5/3dimage_35336/VibrioLB0001_part121_2.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.7tg9c9
title: Occurrence Download

description: A dataset containing 679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "Geometry POLYGON((-73.3623 6.2988,-73.14299 6.31278,-73.14002 6.33023,-73.13779 6.51476,-73.35558 6.5239,-73.35942 6.41447,-73.3623 6.2988))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 679 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047085-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/y6xwsxj5zz
title: USCM UNLP DATASET OCTOBER 2024

description: Dataset form appliyng the USCM to the SUDOCU software at UNLP en October 2024
DOI: 10.17632/y6xwsxj5zz.1
title: USCM UNLP DATASET OCTOBER 2024

description: Dataset form appliyng the USCM to the SUDOCU software at UNLP en October 2024
DOI: 10.15468/dl.79mzk5
title: Occurrence Download

description: A dataset containing 25855 species occurrences available in GBIF matching the query:
{
 "VerbatimScientificName" : [
 "is sphyrna mokarran"
 ]
}

 The dataset includes 25855 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047081-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/64n6b-4ap02
title: MLV 17.5

description: glygogag mutant, 1st batch
description: <strong>Tilt Series Date:</strong> 2014-01-16</p>
<strong>Data Taken By:</strong> Luiza Mendonca</p>
<strong>Species / Specimen:</strong> MLV</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 106.0 eV/Å²,  defocus: -6.0 μm,  magnification: 22500x. </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> Hung Fan</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lmm2014-01-16-11/rawdata/</p>C183_2_MLV_175_ggmut0002.mrc,  Tilt Series (Pixel Size 4.9 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lmm2014-01-16-11/rawdata/C183_2_MLV_175_ggmut0002.mrc"
        > <i class="download icon"></i> Download </a></p>

        C183_2_MLV_175_ggmut0002_full.rec,  Reconstruction (Pixel Size 19.6 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lmm2014-01-16-11/3dimage_37800/C183_2_MLV_175_ggmut0002_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5281/zenodo.15191825
title: Datasets from "A generative deep learning approach to de novo antibiotic design"

description: This repository accompanies the manuscript "A generative deep learning approach to de novo antibiotic design" by Krishnan, Anahtar, Valeri, et al., Cell 2025 , and contains: 



Thee checkpoints for all Chemprop models used in this study:- Neisseria gonorrhoeae (NG)- Staphylococcus aureus (SA)- Hepatocellular carcinoma (HepG2)- Human skeletal muscle cells (HSkMCs), and - Human lung fibroblasts (IMR-90)

List of generated molecules in a fragment-based way (with fragment seeds: F1, F2 and F2') using F-CReM and F-VAE as well as those generated entirely de novo with CReM and JT-VAe are given. See the main text for further details

PRIDE access to the Raw Proteomics Data

Raw Transcriptomics Data

Synthesis routes, NMR and mass spectra of the lead compounds and their analogs


All code used in this manuscript can be found at https://github.com/aartikrish/de-novo-antibiotics.
DOI: 10.5281/zenodo.15191826
title: Datasets from "A generative deep learning approach to de novo antibiotic design"

description: This repository accompanies the manuscript "A generative deep learning approach to de novo antibiotic design" by Krishnan, Anahtar, Valeri, et al., Cell 2025 , and contains: 



Thee checkpoints for all Chemprop models used in this study:- Neisseria gonorrhoeae (NG)- Staphylococcus aureus (SA)- Hepatocellular carcinoma (HepG2)- Human skeletal muscle cells (HSkMCs), and - Human lung fibroblasts (IMR-90)

List of generated molecules in a fragment-based way (with fragment seeds: F1, F2 and F2') using F-CReM and F-VAE as well as those generated entirely de novo with CReM and JT-VAe are given. See the main text for further details

PRIDE access to the Raw Proteomics Data

Raw Transcriptomics Data

Synthesis routes, NMR and mass spectra of the lead compounds and their analogs


All code used in this manuscript can be found at https://github.com/aartikrish/de-novo-antibiotics.
DOI: 10.22002/6kt2v-kgf87
title: B. subtilis 3267 Alp7A

description: ponA mutant, static Alp7A
description: <strong>Tilt Series Date:</strong> 2014-07-10</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Bacillus subtilis </p>
<strong>Strain:</strong> AD3267, ponA null, Alp7A-GFP</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -10.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Joe Pogliano</p>
<strong>Sample Preparation:</strong> Vitrobot</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2014-07-10-20/rawdata/</p>Bacillus_32670020.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2014-07-10-20/rawdata/Bacillus_32670020.mrc"
        > <i class="download icon"></i> Download </a></p>

        Bacillus_32670020_full.rec,  Reconstruction (Pixel Size 0.0 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2014-07-10-20/3dimage_49347/Bacillus_32670020_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/jp2nc-w8j34
title: Protochlamydia amoebophila Cryosections

description: Cryosections of infected amoeba cells
description: <strong>Tilt Series Date:</strong> 2012-03-30</p>
<strong>Data Taken By:</strong> Martin Pilhofer</p>
<strong>Species / Specimen:</strong> Protochlamydia amoebophila</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (0.0°, 0.0°), step: °, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -10.0 μm,  magnification: 22500x. </p>
<strong>Acquisition Software:</strong> UCSF tomo</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> imod</p>
<strong>Collaborators and Roles:</strong> Matthias Horn</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cryosections</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mpa2012-03-30-22/rawdata/</p>10012012_CS_S6_0001.st,  Tilt Series (Pixel Size 0.99 nm), 558.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mpa2012-03-30-22/rawdata/10012012_CS_S6_0001.st"
        > <i class="download icon"></i> Download </a></p>

        10012012_CS_S6_0001.rec,  Reconstruction (Pixel Size 0.99 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mpa2012-03-30-22/3dimage_31738/10012012_CS_S6_0001.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.cqkqdf
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gambusia aurata)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 35 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047089-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/4pewz-4r331
title: magnetosome induced t4

description: Raw data files of magnetosome induced t4
description: <strong>Tilt Series Date:</strong> 2014-06-30</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Magnetospirillum magneticum </p>
<strong>Strain:</strong> deltaQ 167</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -15.0 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>
  psa2014-06-30-27_slicer5289.jpg: filaments
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2014-06-30-27/rawdata/</p>atlas2_t40011.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/psa2014-06-30-27/rawdata/atlas2_t40011.mrc"
        > <i class="download icon"></i> Download </a></p>

        atlas2_t40011_part121_1.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/psa2014-06-30-27/3dimage_44226/atlas2_t40011_part121_1.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.17632/wbvnkmbxbf
title: Dermatological Images for Vitiligo Disease Dataset

description: A rare skin disease vitiligo chronic autoimmune disorder, a skin condition that causes patches of skin to lose pigment. This condition occurs when the body's immune system mistakenly destroys melanocytes. This is a dataset consisting of a total 10459 images where 2 classes are Healthy Skin and Vitiligo Disease. This dataset includes 4127 healthy skin and 6332 vitiligo disease images. These images were collected from various sources and merged into separate classes in a folder structure. This dataset is better from the existing dataset, it can be used to train various deep learning and machine learning models for classifying or detecting vitiligo disease, also for research purposes.
DOI: 10.22002/mr4sf-2pe71
title: Methanotroph

description: Methanotroph, membranes
description: <strong>Tilt Series Date:</strong> 2013-06-22</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Methyloprofundus sedimenti</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -10.0 μm,  magnification: 22500x. </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> Victoria Orphan</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Starved</p>
description: Files available via S3 at ps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2013-06-22-10/rawdata/</p>methano_starved10010.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2013-06-22-10/rawdata/methano_starved10010.mrc"
        > <i class="download icon"></i> Download </a></p>

        methano_starved10010_part121_1.rec,  Reconstruction (Pixel Size 1.92 nm), 712.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2013-06-22-10/3dimage_27621/methano_starved10010_part121_1.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.17632/wbvnkmbxbf.1
title: Dermatological Images for Vitiligo Disease Dataset

description: A rare skin disease vitiligo chronic autoimmune disorder, a skin condition that causes patches of skin to lose pigment. This condition occurs when the body's immune system mistakenly destroys melanocytes. This is a dataset consisting of a total 10459 images where 2 classes are Healthy Skin and Vitiligo Disease. This dataset includes 4127 healthy skin and 6332 vitiligo disease images. These images were collected from various sources and merged into separate classes in a folder structure. This dataset is better from the existing dataset, it can be used to train various deep learning and machine learning models for classifying or detecting vitiligo disease, also for research purposes.
DOI: 10.22002/bjmj4-vsq93
title: R. sphaeroides Cryosections

description: Strain JPA 543 cryosections
description: <strong>Tilt Series Date:</strong> 2013-07-26</p>
<strong>Data Taken By:</strong> Ariane Briegel</p>
<strong>Species / Specimen:</strong> Rhodobacter sphaeroides</p>
<strong>Strain:</strong> ATCC 17023</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 160.0 eV/Å²,  defocus: -10.0 μm,  magnification: 42000x. </p>
<strong>Microscope:</strong> Janelia Titan</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> Mark Ladinsky, Judy Armitage</p>
description: Files available via S3 at ps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-07-26-56/rawdata/</p>rhodobactertestb0022.mrc,  Tilt Series (Pixel Size 0.26 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-07-26-56/rawdata/rhodobactertestb0022.mrc"
        > <i class="download icon"></i> Download </a></p>

        rhodobactertestb0022_full.rec,  Reconstruction (Pixel Size 0.52 nm), 2.8 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/aba2013-07-26-56/3dimage_29022/rhodobactertestb0022_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.17632/wh9zcn7pkh
title: Adsorption and methanation experimental data for a Ru, "Na2O" / Al2O3 DFM

description: Experimental data and data treatment for the adsorption/methanation over a 5%Ru-6.1%“Na2O”/Al2O3 Dual Function Material. Data set includes:

1. CO2 Adsorption isotherms
2. Kinetic study
3. CO2 Breakthrough curves
4. In situ DRIFTS
DOI: 10.17632/wh9zcn7pkh.2
title: Adsorption and methanation experimental data for a Ru, "Na2O" / Al2O3 DFM

description: Experimental data and data treatment for the adsorption/methanation over a 5%Ru-6.1%“Na2O”/Al2O3 Dual Function Material. Data set includes:

1. CO2 Adsorption isotherms
2. Kinetic study
3. CO2 Breakthrough curves
4. In situ DRIFTS
DOI: 10.22002/zn0vc-9y104
title: Agrobacterium_Bald_VirB8-GFP

description: Agrobacterium tumefaciens
description: <strong>Tilt Series Date:</strong> 2013-06-25</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Agrobacterium tumefaciens</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -10.0 μm,  magnification: 22500x. </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> Patricia ZAMBRYSKI</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells grown in liquid medium and induced with AS for 4 days, no airation</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2013-06-25-14/rawdata/</p>bald_gfp0014.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2013-06-25-14/rawdata/bald_gfp0014.mrc"
        > <i class="download icon"></i> Download </a></p>

        bald_gfp0014_part121_35.rec,  Reconstruction (Pixel Size 1.92 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2013-06-25-14/3dimage_27667/bald_gfp0014_part121_35.rec"
        > <i class="download icon"></i> Download </a></p>