cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16950260
title: CAMELS-GB in RDF: Catchment Attributes and Meteorology Dataset for Great Britain as a Knowledge Graph

description: This dataset presents an RDF (Turtle syntax) version of the CAMELS-GB (Catchment Attributes and MEteorology for Large-sample Studies – Great Britain) dataset, generated from CSV files using the open-source HydroTurtle tool (https://github.com/shamilasudalshana/NFDI4Earth-HydroTurtle). The purpose of this conversion is to enhance the interoperability, reusability, and FAIRness of the hydrometeorological data, in line with the principles of the Semantic Web and Linked Open Data.

The dataset covers the period 1970–2015 and includes data for all 671 catchments from the original CAMELS-GB dataset. Attributes span multiple domains including climate, hydrology, topography, land cover, and soil properties. Some attribute categories are pending inclusion and will be added in future updates.

The RDF data modeling is based on a combination of established ontologies, including:





SOSA/SSN (Sensor, Observation, Sample, and Actuator)




QUDT (Quantities, Units, Dimensions, and Data Types)




GeoSPARQL (for spatial data)




Dublin Core, Schema.org, and SKOS (for metadata and classification)




EnvThes (for environmental terminology)




HM-Ontology – a custom ontology developed as part of this project, to cover hydrological and meteorological concepts not addressed by existing vocabularies.



URIs are assigned to individual catchments, variables, and observations, enabling integration with other Linked Data sources and facilitating semantic queries. The RDF output is organized per catchment as multiple Turtle (.ttl) files. When loaded into a triple store, these can be unified into a single graph for querying and reasoning.

This conversion was developed as part of the NFDI4Earth inititative. The dataset is licensed under CC-BY 4.0.

This dataset is intended to support researchers and developers working on hydrology, environmental data integration, knowledge graphs, and natural language question answering over Linked Data.
description: This work has been funded by the German Research Foundation (DFG) through the project NFDI4Earth (DFG project no.460036893, https://www.nfdi4earth.de/) within the German National Research Data Infrastructure (NFDI, https://www.nfdi.de/).
DOI: 10.22002/sk8xz-rcv68
title: Shewanella oneidensis

description: Raw data files of Shewanella oneidensis
description: <strong>Tilt Series Date:</strong> 2019-01-13</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</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°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -9.0 μm,  magnification: 26000x. </p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> This mutant was prepared in the lab of Jeffrey A Gralnick at the University of Minnesota. This mutant was ultimately published in the EMBOJ (Kaplan et al., The EMBOJ, 2019)</p>
description: Files available via S3 at ttps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-01-13-47/rawdata/</p>Shewanella_dfliF39.mrc,  Tilt Series (Pixel Size 0.53 nm), 2.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-01-13-47/rawdata/Shewanella_dfliF39.mrc"
        > <i class="download icon"></i> Download </a></p>

        Shewanella_dfliF39_full.rec,  Reconstruction (Pixel Size 2.12 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-01-13-47/3dimage_100730/Shewanella_dfliF39_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5281/zenodo.16950259
title: CAMELS-GB in RDF: Catchment Attributes and Meteorology Dataset for Great Britain as a Knowledge Graph

description: This dataset presents an RDF (Turtle syntax) version of the CAMELS-GB (Catchment Attributes and MEteorology for Large-sample Studies – Great Britain) dataset, generated from CSV files using the open-source HydroTurtle tool (https://github.com/shamilasudalshana/NFDI4Earth-HydroTurtle). The purpose of this conversion is to enhance the interoperability, reusability, and FAIRness of the hydrometeorological data, in line with the principles of the Semantic Web and Linked Open Data.

The dataset covers the period 1970–2015 and includes data for all 671 catchments from the original CAMELS-GB dataset. Attributes span multiple domains including climate, hydrology, topography, land cover, and soil properties. Some attribute categories are pending inclusion and will be added in future updates.

The RDF data modeling is based on a combination of established ontologies, including:





SOSA/SSN (Sensor, Observation, Sample, and Actuator)




QUDT (Quantities, Units, Dimensions, and Data Types)




GeoSPARQL (for spatial data)




Dublin Core, Schema.org, and SKOS (for metadata and classification)




EnvThes (for environmental terminology)




HM-Ontology – a custom ontology developed as part of this project, to cover hydrological and meteorological concepts not addressed by existing vocabularies.



URIs are assigned to individual catchments, variables, and observations, enabling integration with other Linked Data sources and facilitating semantic queries. The RDF output is organized per catchment as multiple Turtle (.ttl) files. When loaded into a triple store, these can be unified into a single graph for querying and reasoning.

This conversion was developed as part of the NFDI4Earth inititative. The dataset is licensed under CC-BY 4.0.

This dataset is intended to support researchers and developers working on hydrology, environmental data integration, knowledge graphs, and natural language question answering over Linked Data.
description: This work has been funded by the German Research Foundation (DFG) through the project NFDI4Earth (DFG project no.460036893, https://www.nfdi4earth.de/) within the German National Research Data Infrastructure (NFDI, https://www.nfdi.de/).
DOI: 10.22002/twe6a-h1n55
title: P. gingivalis wild type

description: Raw data files of P. gingivalis wild type
description: <strong>Tilt Series Date:</strong> 2020-11-06</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Species / Specimen:</strong> Porphyromonas gingivalis</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 170.0 eV/Å²,  defocus: -6.0 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> Eric Reynolds</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Grown and harvested from plates</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2020-11-06-174/rawdata/</p>PginWT9_173.mrc,  Tilt Series (Pixel Size 0.333 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2020-11-06-174/rawdata/PginWT9_173.mrc"
        > <i class="download icon"></i> Download </a></p>

        PginWT9_173_full.rec,  Reconstruction (Pixel Size 1.332 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2020-11-06-174/3dimage_115317/PginWT9_173_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5517/ccdc.csd.cc2g6k2b
title: CCDC 2270411: Experimental Crystal Structure Determination

description: Related Article: Eugene A. Katlenok, Sergey V. Baykov, Artem V. Semenov, Vitalii V. Suslonov, Vadim Yu. Kukushkin|2024|Cryst.Growth Des.|24|6809|doi:10.1021/acs.cgd.4c00804
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.ks63hn
title: Occurrence Download

description: A dataset containing 128364 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xerces Society - Bumble Bee Watch"
 ]
}

 The dataset includes 128364 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046916-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/z4n1n-csp79
title: Caulobacter crescentus

description: Raw data files of Caulobacter crescentus
description: <strong>Tilt Series Date:</strong> 2018-09-11</p>
<strong>Data Taken By:</strong> Lujia Zhang</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> For the research of pilus, WT</p>
<strong>Purification / Growth Conditions / Treatment:</strong> swarmer cell, PVP</p>
<strong>Sample Preparation:</strong> force 4, time 6, humidity 100%, temp. 22</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lza2018-09-11-8/rawdata/</p>targ27.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/lza2018-09-11-8/rawdata/targ27.mrc"
        > <i class="download icon"></i> Download </a></p>

        targ27_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/lza2018-09-11-8/3dimage_100345/targ27_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22023/mdx.29979994
title: <b>MusiCare Study1:</b> <b>RCT of three music therapy interventions on cognitive function and psychological wellbeing in normal aging</b>

description: The MusiCare dataset derives from an exploratory randomized controlled trial (RCT) investigating the effects of different music therapy formats on healthy aging. The study enrolled cognitively healthy older adults and randomly assigned them to one of three music therapy conditions (one-to-one, small-group, and large-group) or a passive control group. Each format was lasting 20session, a one-a-week, 40min.Participants underwent pre- and post-intervention assessments, including standardized cognitive measures (e.g., Music Cognitive Test, Trail Making Test, Verbal Fluency), psychological and wellbeing questionnaires (e.g., Geriatric Depression Scale, Warwick-Edinburgh Mental Wellbeing Scale, Sleep Quality Index), and selected physiological measures.The dataset contains <b>de-identified participant-level data</b>, including demographic variables, baseline and post-intervention scores across cognitive, wellbeing, and psychosocial domains.MusiCare was conducted between as part of a collaborative project involving Middlesex University, and partner organizations in community and care-home contexts (Methodist Home, University of the Third Age).
DOI: 10.22023/mdx.29979994.v1
title: <b>MusiCare Study1:</b> <b>RCT of three music therapy interventions on cognitive function and psychological wellbeing in normal aging</b>

description: The MusiCare dataset derives from an exploratory randomized controlled trial (RCT) investigating the effects of different music therapy formats on healthy aging. The study enrolled cognitively healthy older adults and randomly assigned them to one of three music therapy conditions (one-to-one, small-group, and large-group) or a passive control group. Each format was lasting 20session, a one-a-week, 40min.Participants underwent pre- and post-intervention assessments, including standardized cognitive measures (e.g., Music Cognitive Test, Trail Making Test, Verbal Fluency), psychological and wellbeing questionnaires (e.g., Geriatric Depression Scale, Warwick-Edinburgh Mental Wellbeing Scale, Sleep Quality Index), and selected physiological measures.The dataset contains <b>de-identified participant-level data</b>, including demographic variables, baseline and post-intervention scores across cognitive, wellbeing, and psychosocial domains.MusiCare was conducted between as part of a collaborative project involving Middlesex University, and partner organizations in community and care-home contexts (Methodist Home, University of the Third Age).
DOI: 10.22002/f94tq-qj284
title: CR2715_Janelia

description: Legionella thyA ΔdotG.This strain is published in Nat Mic (2018). Roy and Liu.
description: <strong>Tilt Series Date:</strong> 2018-08-27</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: 2.0°, 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> Legionella thyA ΔdotG.This strain is published in Nat Mic (2018). Roy and Liu.CR2715</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-27-642/rawdata/</p>CR2715_201808270016.mrc,  Tilt Series (Pixel Size 0.42 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-27-642/rawdata/CR2715_201808270016.mrc"
        > <i class="download icon"></i> Download </a></p>

        CR2715_201808270016_part61_5.rec,  Reconstruction (Pixel Size 1.68 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-27-642/3dimage_96105/CR2715_201808270016_part61_5.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/hfah2-gka22
title: Caulobacter crescentus

description: Raw data files of Caulobacter crescentus
description: <strong>Tilt Series Date:</strong> 2018-09-11</p>
<strong>Data Taken By:</strong> Lujia Zhang</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> For the research of pilus, WT</p>
<strong>Purification / Growth Conditions / Treatment:</strong> swarmer cell, PVP</p>
<strong>Sample Preparation:</strong> force 4, time 6, humidity 100%, temp. 22</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lza2018-09-11-7/rawdata/</p>targ24.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/lza2018-09-11-7/rawdata/targ24.mrc"
        > <i class="download icon"></i> Download </a></p>

        targ24_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/lza2018-09-11-7/3dimage_100337/targ24_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/ry919-dq918
title: P. gingivalis wild type

description: Raw data files of P. gingivalis wild type
description: <strong>Tilt Series Date:</strong> 2020-11-06</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Species / Specimen:</strong> Porphyromonas gingivalis</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 3°, constant angular increment, dosage: 170.0 eV/Å²,  defocus: -6.0 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> Eric Reynolds</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Grown and harvested from plates</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2020-11-06-337/rawdata/</p>PginWT9_336.mrc,  Tilt Series (Pixel Size 0.333 nm), 1.9 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2020-11-06-337/rawdata/PginWT9_336.mrc"
        > <i class="download icon"></i> Download </a></p>

        PginWT9_336_full.rec,  Reconstruction (Pixel Size 1.332 nm), 737.3 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2020-11-06-337/3dimage_115633/PginWT9_336_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/hcpqq-x7h54
title: CR2715_Janelia

description: Legionella thyA ΔdotG.This strain is published in Nat Mic (2018). Roy and Liu.
description: <strong>Tilt Series Date:</strong> 2018-08-27</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: 2.0°, 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> Legionella thyA ΔdotG.This strain is published in Nat Mic (2018). Roy and Liu.CR2715</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-27-708/rawdata/</p>CR2715_201808280023.mrc,  Tilt Series (Pixel Size 0.42 nm), 1.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-27-708/rawdata/CR2715_201808280023.mrc"
        > <i class="download icon"></i> Download </a></p>

        CR2715_201808280023_full.rec,  Reconstruction (Pixel Size 1.68 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/dga2018-08-27-708/3dimage_96237/CR2715_201808280023_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.755q4z
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bujurquina vittata)",
 "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 203 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046936-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/e8qdd-e3y56
title: P. gingivalis ABK mutant

description: Triple gingipain ABK mutant in the P. gingivalis W50 strain
description: <strong>Tilt Series Date:</strong> 2018-01-15</p>
<strong>Data Taken By:</strong> Georges Chreifi</p>
<strong>Species / Specimen:</strong> Porphyromonas gingivalis</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1°, constant angular increment, dosage: 200.0 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> Eric Reynolds</p>
<strong>Sample Preparation:</strong> Harvested and plunge-frozen from liquid culture.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/gca2018-01-15-62/rawdata/</p>Pgin_99.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/gca2018-01-15-62/rawdata/Pgin_99.mrc"
        > <i class="download icon"></i> Download </a></p>

        Pgin_99_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/gca2018-01-15-62/3dimage_91805/Pgin_99_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/hh2dh-bbr60
title: Dinoflagellate lamellae

description: These are FIB-milled dinoflagellate cells (Symbiodinium). These are the tilt series collected on  .  the lamellae milled on grid 1. Grid 1 correlates with grid1 on the SEM folder.
description: <strong>Tilt Series Date:</strong> 2019-06-22</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</p>
<strong>Species / Specimen:</strong> Symbiodinium</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -8.0 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> None</p>
<strong>Collaborators and Roles:</strong> The samples were obtained from Michael Latz at Scripps institute.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-06-22-10/rawdata/</p>ts6.mrc,  Tilt Series (Pixel Size 0.449 nm), 2.6 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-06-22-10/rawdata/ts6.mrc"
        > <i class="download icon"></i> Download </a></p>

        ts6.mrc.mdoc,  29.5 kB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2019-06-22-10/rawdata/ts6.mrc.mdoc"
        > <i class="download icon"></i> Download </a></p>