cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/1hm2q-eqn85
title: C. crescentus Cb13b1a

description: C. crescentus Cb13b1a dividing cells (p5n74)
description: <strong>Tilt Series Date:</strong> 2007-08-20</p>
<strong>Data Taken By:</strong> Elizabeth Wright</p>
<strong>Species / Specimen:</strong> Caulobacter crescentus</p>
<strong>Strain:</strong> NA1000</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-63.0°, 63.0°), step: 1°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: 12.0 μm,  magnification: 0x. </p>
<strong>Acquisition Software:</strong> UCSF Tomo</p>
<strong>Upload Method:</strong> webload</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Purification / Growth Conditions / Treatment:</strong> PYE overnight culture</p>
<strong>Sample Preparation:</strong> R2/2, 10 nm gold, Vitrobot, 100% humidity, 2s blot, -2 mm offset, 0.5 s drain time</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ewr2007-08-20-6/rawdata/</p>Cc_Cd1_BE_p5_n74_20Aug07.mrc,  Tilt Series (Pixel Size 1.259 nm), 1.1 GB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/hgqmp-r0f85
title: Pseudomonas aerugionsa PA103

description: This strain was obtained from Alan Hauser's lab from Northwestern University. It contains a plasmid containing the FtsZ gene. The over-expression of FtsZ will produce minicells. Other than the plasmid, this strain is the same as the wild type.
description: <strong>Tilt Series Date:</strong> 2019-06-19</p>
<strong>Data Taken By:</strong> Steven Wang</p>
<strong>Species / Specimen:</strong> Pseudomonas aeruginosa</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: 95.0 eV/Å²,  defocus: -6.0 μm,  magnification: 19500x. </p>
<strong>Microscope:</strong> Caltech Titan Krios</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Jensen Lab tomography pipeline (RAPTOR for alignment)</p>
<strong>Collaborators and Roles:</strong> Alan Hauser lab from Northwestern University</p>
<strong>Purification / Growth Conditions / Treatment:</strong> The cells were grown in LB with 50 ug/mL gentamicin. Incubate the cells for 1 hour at 37 C 200 rpm at a dilution factor of  50. Then add IPTG to reach a final concentration of 1 mM. Incubate for 6 hours at 37 C at 200 rpm. Then remove most of the filamentous cells by 3000xg centrifugation for 10 min. Collect the minicells from the supernatant with another centrifugation at 15,000xg for 30 min.</p>
<strong>Sample Preparation:</strong> Mix 40 uL of cells with gold beads concentrated from 200 uL Au solution + 50 uL 5% BSA. Plunge freeze the samples with liquid ethane and propane with a blotting force of 4, a blotting time of 3 s or 4s and a draining time of 1 s.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/swy2019-06-19-16/rawdata/</p>Pa_cell_target_8.mrc,  Tilt Series (Pixel Size 0.45 nm), 5.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/swy2019-06-19-16/rawdata/Pa_cell_target_8.mrc"
        > <i class="download icon"></i> Download </a></p>

        Pa_cell_target_8_full.rec,  Reconstruction (Pixel Size 1.8 nm), 589.8 MB  
        
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DOI: 10.22002/n6b9n-ffz85
title: JV3572

description: Legionella thyA ΔdotD
description: <strong>Tilt Series Date:</strong> 2016-04-02</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.5°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -6.0 μm,  magnification: 26000x. </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> Strain sent to us by Joseph P. Vogel, Washington University School of Medicine. Data collected and processed by Debnath Ghosal. Janelia Krios.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown in AYE liquid culture with following supplements: ferric nitrate, cysteine hydrochloride and thymidine. Scrape cells off a plate, dissolve in the media, adjust the cell density to 0.6 and make a dilution series. Start O/N culture with all of them and freeze cells next day from the one in early stationary phase that is OD ~ 3.0</p>
<strong>Sample Preparation:</strong> 6 grids were frozen for the JV3572 strain (2x and 3x concentrated from OD-3 culture); Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 3 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/dga2016-04-02-53/rawdata/</p>dg20160331_3572_atlas10026.mrc,  Tilt Series (Pixel Size 0.42 nm), 2.3 GB  
        
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        > <i class="download icon"></i> Download </a></p>

        dg20160331_3572_atlas10026_full.rec,  Reconstruction (Pixel Size 1.68 nm), 445.4 MB  
        
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DOI: 10.22002/nxcph-g0675
title: JV7091

description: JV7091 is a double mutant that lacks dotE and dotP (Lp02).Cell density was quite low on the grid!
description: <strong>Tilt Series Date:</strong> 2016-01-12</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.50°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -6.0 μm,  magnification: 26000x. </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> Strain sent to us by Joseph P. Vogel, Washington University School of Medicine. Data collected and processed by Debnath Ghosal. Janelia Krios.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown in AYE liquid culture with following supplements: ferric nitrate, cysteine hydrochloride and thymidine. Scrape cells off a plate, dissolve in the media, adjust the cell density to 0.6 and make a dilution series. Start O/N culture with all of them and freeze cells next day from the one in early stationary phase that is OD ~ 3.0</p>
<strong>Sample Preparation:</strong> 6 grids were frozen for the JV7091 at OD= 2.9 Vitrobot (MK iv) settings: 100% humidity, 4µl sample, Blot force 6, blot time 3 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/dga2016-01-12-64/3dimage_72592/</p>7091_area_atlas16_100010002.rec,  Reconstruction (Pixel Size 1.68 nm), 861.2 MB  
        
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        > <i class="download icon"></i> Download </a></p>

        7091_area_atlas16_100010002.mrc,  Tilt Series (Pixel Size 0.42 nm), 1.9 GB  
        
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        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/xrar8-g6r58
title: Agro_AD1408_from plate_20150831

description: Agro_AD1408_GFP-VirB11 (Kan+AS plates, Mes pH5.8). Add 400 ul of induction media to one of the induction plates (containing lawn of Agrobacterium AD1408) and wash the plate by gently rolling the liquid. I had 20ug/ml Kan to keep the cells happier. Add gold to this: 1ul of gold to 4 ul of cells and freeze.
description: <strong>Tilt Series Date:</strong> 2015-08-31</p>
<strong>Data Taken By:</strong> Debnath Ghosal</p>
<strong>Species / Specimen:</strong> Agrobacterium tumefaciens</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-50.0°, 50.0°), step: 1.0°, constant angular increment, dosage: 170.0 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> pipeline</p>
<strong>Processing Software Used:</strong> UCSFTomo</p>
<strong>Collaborators and Roles:</strong> Strain constructed by Anath Das. Data collected and processed by Debnath Ghosal using Caltech tomography pipeline. This data was collected at the Janelia Krios.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Grow AD1408 cells on AB solid medium (pH 7) at 30C. For induction, use one single colony and spread on induction plates (AB Mes pH 5.8) containing Kan (20ug/ml)+AS (200µM). Grow at 19C for 48 hr. Add 400 ul of induction media to one of the induction plates (containing lawn of Agrobacterium AD1408) and wash the plate by gently rolling the liquid. Add gold to this: 1ul of gold to 4 ul of cells, freeze.</p>
<strong>Sample Preparation:</strong> Vitrobot (MK iv) settings: 100% humidity, 4µl sample, 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/dga2015-08-31-35/3dimage_61082/</p>AD1408_plate_new0003_full.rec,  Reconstruction (Pixel Size 1.92 nm), 445.4 MB  
        
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        AD1408_plate_new0003.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.1 GB  
        
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DOI: 10.15468/dl.9bsnf4
title: Occurrence Download

description: A dataset containing 342565 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Persicaria maculosa"
 ]
}

 The dataset includes 342565 records from 2429 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013481-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh3627773.08fu
title: SH3627773.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3627774.08fu
title: SH3627774.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3627775.08fu
title: SH3627775.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3627776.08fu
title: SH3627776.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3627777.08fu
title: SH3627777.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3627778.08fu
title: SH3627778.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3627779.08fu
title: SH3627779.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3627780.08fu
title: SH3627780.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3627781.08fu
title: SH3627781.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh3627782.08fu
title: SH3627782.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.