cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5jpz34
title: Occurrence Download

description: A dataset containing 1017 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Sceloporus grandaevus (Dickerson, 1919)"
 ]
}

 The dataset includes 1017 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019285-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ff6m55
title: Occurrence Download

description: A dataset containing 162272 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thlaspi arvense L."
 ]
}

 The dataset includes 162272 records from 1216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019260-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrpexe
title: Occurrence Download

description: A dataset containing 17830 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oenothera laciniata Hill"
 ]
}

 The dataset includes 17830 records from 403 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019584-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mfs3b8
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "TaxonKey is Jasminum officinale L.",
 "Year 1840-1860"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019581-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsg7au
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balaenoptera omurai Wada, Oishi & Yamada, 2003"
 ]
}

 The dataset includes 130 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019586-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15590148
title: rRNA STAR index v1

description: STAR index for rRNA custom database.
DOI: 10.5281/zenodo.15590149
title: rRNA STAR index v1

description: STAR index for rRNA custom database.
DOI: 10.34740/kaggle/dsv/12055088
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15040900
title: MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

description: MammAlps - A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

MammAlps is a multimodal and multi-view dataset of wildlife behavior monitoring. Nine camera-traps were placed at three monitoring sites in the Swiss National Park, from which we curated over 14 hours of video with audio, 2D segmentation maps and 8.5 hours of individual tracks densely labeled for species and behavior.  

Along with the data, we propose two benchmarks:



Benchmark I - Multimodal species and behavior recognition: Based on 6`135 single clips centered on the animal, we propose a hierarchical and multimodal animal behavior recognition benchmark using audio, video and reference scene segmentation maps as inputs.

Benchmark II - Multi-view Long-term event understanding: a second ecology-oriented benchmark aiming at identifying activities, species, number of individuals and meteorological conditions from 397 multi-view and long-term ecological events, including false positive triggers.


General information

Authors: Valentin Gabeff, Haozhe Qi, Brendan Flaherty, Gencer Sümbül, Alexander Mathis, Devis TuiaAffiliation: All authors were affiliated to the Ecole Polytechnique Fédérale de Lausanne (EPFL) at the time of the studyDate of collection: 08.2023 - 10.2023 (MM.YYYY - MM.YYYY)Geolocation data: Swiss National Park, Zernez, SwitzerlandAssociated publication URL: https://arxiv.org/abs/2503.18223Funding: This project was partially funded by EPFL's SV-ENAC I-PhD program (G.V.), Boehringer Ingelheim Fonds PhD stipend (H.Q.) and Swiss SNF grant (320030-227871)

Dataset availability

License: This dataset is released under the non-commercial CC BY-NC 4.0 license.

Citation : When using the dataset, please use the following citation. The article is in press for CVPR, we will update the citation. 

@article{gabeff2025mammalps,
      title={MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps},
      author={Valentin Gabeff and Haozhe Qi and Brendan Flaherty and Gencer Sumbül and Alexander Mathis and Devis Tuia},
      year={2025},
      journal={arXiv},
      doi={10.48550/arXiv.2503.18223},
}


Repository URL: https://zenodo.org/uploads/15040900

Repository DOI: 10.5281/zenodo.15040900

Dataset version: v3

Acknowledgements

We thank members of the Mathis Group for Computational Neuroscience & AI (EPFL) and of the Environmental Computational Science and Earth Observation Laboratory (EPFL) for their feedback and fieldwork efforts. We also thank members of the Swiss National Park monitoring team for their support and feedback. The project was approved by the Research Commission of the National Park.

Change log



[03.06.2025]: Fix few misaligned dense annotation files.

[26.05.2025]: Dense annotations release.

[02.04.2025]: Data release for Benchmark I and Benchmark II.
DOI: 10.5281/zenodo.15441330
title: MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

description: MammAlps - A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

MammAlps is a multimodal and multi-view dataset of wildlife behavior monitoring. Nine camera-traps were placed at three monitoring sites in the Swiss National Park, from which we curated over 14 hours of video with audio, 2D segmentation maps and 8.5 hours of individual tracks densely labeled for species and behavior.  

Along with the data, we propose two benchmarks:



Benchmark I - Multimodal species and behavior recognition: Based on 6`135 single clips centered on the animal, we propose a hierarchical and multimodal animal behavior recognition benchmark using audio, video and reference scene segmentation maps as inputs.

Benchmark II - Multi-view Long-term event understanding: a second ecology-oriented benchmark aiming at identifying activities, species, number of individuals and meteorological conditions from 397 multi-view and long-term ecological events, including false positive triggers.


General information

Authors: Valentin Gabeff, Haozhe Qi, Brendan Flaherty, Gencer Sümbül, Alexander Mathis, Devis TuiaAffiliation: All authors were affiliated to the Ecole Polytechnique Fédérale de Lausanne (EPFL) at the time of the studyDate of collection: 08.2023 - 10.2023 (MM.YYYY - MM.YYYY)Geolocation data: Swiss National Park, Zernez, SwitzerlandAssociated publication URL: https://arxiv.org/abs/2503.18223Funding: This project was partially funded by EPFL's SV-ENAC I-PhD program (G.V.), Boehringer Ingelheim Fonds PhD stipend (H.Q.) and Swiss SNF grant (320030-227871)

Dataset availability

License: This dataset is released under the non-commercial CC BY-NC 4.0 license.

Citation : When using the dataset, please use the following citation. The article is in press for CVPR, we will update the citation. 

@article{gabeff2025mammalps,
      title={MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps},
      author={Valentin Gabeff and Haozhe Qi and Brendan Flaherty and Gencer Sumbül and Alexander Mathis and Devis Tuia},
      year={2025},
      journal={arXiv},
      doi={10.48550/arXiv.2503.18223},
}


Repository URL: https://zenodo.org/uploads/15040900

Repository DOI: 10.5281/zenodo.15040900

Dataset version: v2

Acknowledgements

We thank members of the Mathis Group for Computational Neuroscience & AI (EPFL) and of the Environmental Computational Science and Earth Observation Laboratory (EPFL) for their feedback and fieldwork efforts. We also thank members of the Swiss National Park monitoring team for their support and feedback. The project was approved by the Research Commission of the National Park.

Change log







[26.05.2025]: Dense annotations release.



[02.04.2025]: Data release for Benchmark I and Benchmark II.
DOI: 10.5281/zenodo.15588220
title: MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

description: MammAlps - A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

MammAlps is a multimodal and multi-view dataset of wildlife behavior monitoring. Nine camera-traps were placed at three monitoring sites in the Swiss National Park, from which we curated over 14 hours of video with audio, 2D segmentation maps and 8.5 hours of individual tracks densely labeled for species and behavior.  

Along with the data, we propose two benchmarks:



Benchmark I - Multimodal species and behavior recognition: Based on 6`135 single clips centered on the animal, we propose a hierarchical and multimodal animal behavior recognition benchmark using audio, video and reference scene segmentation maps as inputs.

Benchmark II - Multi-view Long-term event understanding: a second ecology-oriented benchmark aiming at identifying activities, species, number of individuals and meteorological conditions from 397 multi-view and long-term ecological events, including false positive triggers.


General information

Authors: Valentin Gabeff, Haozhe Qi, Brendan Flaherty, Gencer Sümbül, Alexander Mathis, Devis TuiaAffiliation: All authors were affiliated to the Ecole Polytechnique Fédérale de Lausanne (EPFL) at the time of the studyDate of collection: 08.2023 - 10.2023 (MM.YYYY - MM.YYYY)Geolocation data: Swiss National Park, Zernez, SwitzerlandAssociated publication URL: https://arxiv.org/abs/2503.18223Funding: This project was partially funded by EPFL's SV-ENAC I-PhD program (G.V.), Boehringer Ingelheim Fonds PhD stipend (H.Q.) and Swiss SNF grant (320030-227871)

Dataset availability

License: This dataset is released under the non-commercial CC BY-NC 4.0 license.

Citation : When using the dataset, please use the following citation. The article is in press for CVPR, we will update the citation. 

@article{gabeff2025mammalps,
      title={MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps},
      author={Valentin Gabeff and Haozhe Qi and Brendan Flaherty and Gencer Sumbül and Alexander Mathis and Devis Tuia},
      year={2025},
      journal={arXiv},
      doi={10.48550/arXiv.2503.18223},
}


Repository URL: https://zenodo.org/uploads/15040900

Repository DOI: 10.5281/zenodo.15040900

Dataset version: v3

Acknowledgements

We thank members of the Mathis Group for Computational Neuroscience & AI (EPFL) and of the Environmental Computational Science and Earth Observation Laboratory (EPFL) for their feedback and fieldwork efforts. We also thank members of the Swiss National Park monitoring team for their support and feedback. The project was approved by the Research Commission of the National Park.

Change log



[03.06.2025]: Fix few misaligned dense annotation files.

[26.05.2025]: Dense annotations release.

[02.04.2025]: Data release for Benchmark I and Benchmark II.
DOI: 10.25505/fiz.icsd.cc1xjl34
title: CSD 1773606: Experimental Crystal Structure Determination

description: Related Article: M. Knapp, U. Ruschewitz|2001|Chem.-Eur.J.|7|874|doi:10.1002/1521-3765(20010216)7:4<874::AID-CHEM874>3.0.CO;2-V
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.qts2pk
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Alseodaphnopsis petiolaris (Meisn.) H.W.Li & J.Li"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019589-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fy97pb
title: Occurrence Download

description: A dataset containing 709928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Arenaria interpres (Linnaeus, 1758))",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 709928 records from 585 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019580-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7hu3s
title: Occurrence Download

description: A dataset containing 73088966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "License is CC-BY 4.0",
 "Year 2020-2021"
 ]
}

 The dataset includes 73088966 records from 10030 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019576-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/wjmhs-4j453
title: JV9298

description: Legionella pneumophila JV9298 DotF-GFP DotB E191K
description: <strong>Tilt Series Date:</strong> 2020-04-23</p>
<strong>Data Taken By:</strong> Yuxi Liu</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -4.0 μm,  magnification: 33000x. </p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> imod, tomo3d</p>
<strong>Collaborators and Roles:</strong> Sample preparation & data collection: Yuxi Liu Data processing: Phyllis Wang & Yuxi Liu</p>
<strong>Purification / Growth Conditions / Treatment:</strong> O.D. 2.5-3.0 in AYE</p>
<strong>Sample Preparation:</strong> Quantifoil R2/2 copper grid, 10nm gold, 100% humidity, 25deg C, 4uL of 2X concentrated cells Blotting: force 6, blot 3sec, wait 1sec</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2020-04-23-393/rawdata/</p>JV9298_PD-1-3_377.mrc,  Tilt Series (Pixel Size 0.26 nm), 1.6 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2020-04-23-393/rawdata/JV9298_PD-1-3_377.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/jd9qa-xnw62
title: B. diazoefficiens, hopanoids

description: delta HpnH strain, log phase
description: <strong>Tilt Series Date:</strong> 2019-11-06</p>
<strong>Data Taken By:</strong> Yuxi Liu</p>
<strong>Species / Specimen:</strong> Bradyrhizobium diazoefficiens</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-64.0°, 64.0°), step: 2°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -6.0 μm,  magnification: 33000x. </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> Brittany Belin (Newman Lab, CalTech): strain construction, culture growth</p>
<strong>Purification / Growth Conditions / Treatment:</strong> log phase, treated with naringenin</p>
<strong>Sample Preparation:</strong> Broad vitrobot 22 degC, 100% humidity, manual back blotting. 4uL of 5X diluted cell (original O.D. 0.8). Quantifol copper R2/2 finder grid </p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-11-06-46/rawdata/</p>dH_LG_64step2_24.mrc,  Tilt Series (Pixel Size 2.678 nm), 3.0 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2019-11-06-46/rawdata/dH_LG_64step2_24.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/zhccw-h2y98
title: Pseudomonas aeruginoas_JT2944

description: Raw data files of Pseudomonas aeruginoas_JT2944
description: <strong>Tilt Series Date:</strong> 2018-08-16</p>
<strong>Data Taken By:</strong> Mohammed Kaplan</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: 2°, 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> Serial EM</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> RAPTOR</p>
<strong>Collaborators and Roles:</strong> Cells produced by Jonida Toska from Melakanos lab.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> The cells were grown overnight in LB at 37 C.</p>
<strong>Sample Preparation:</strong> Cells from overnight culture were added to thick carbon grids and blotted using the vitrobot in BI. Blot force 6, blot time 3 s, drain time 1s.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2018-08-16-93/rawdata/</p>Pseudomonas_JT2944Tilt518.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/mka2018-08-16-93/rawdata/Pseudomonas_JT2944Tilt518.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/2a65w-hc509
title: JV9298

description: Legionella pneumophila JV9298 DotF-GFP DotB E191K
description: <strong>Tilt Series Date:</strong> 2020-04-23</p>
<strong>Data Taken By:</strong> Yuxi Liu</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -4.0 μm,  magnification: 33000x. </p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> imod, tomo3d</p>
<strong>Collaborators and Roles:</strong> Sample preparation & data collection: Yuxi Liu Data processing: Phyllis Wang & Yuxi Liu</p>
<strong>Purification / Growth Conditions / Treatment:</strong> O.D. 2.5-3.0 in AYE</p>
<strong>Sample Preparation:</strong> Quantifoil R2/2 copper grid, 10nm gold, 100% humidity, 25deg C, 4uL of 2X concentrated cells Blotting: force 6, blot 3sec, wait 1sec</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2020-04-23-275/rawdata/</p>JV9298_PD-1-3_012.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/ylx2020-04-23-275/rawdata/JV9298_PD-1-3_012.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/xmmvx-y5k19
title: Caulobacter crescentus

description: Raw data files of Caulobacter crescentus
description: <strong>Tilt Series Date:</strong> 2018-07-10</p>
<strong>Data Taken By:</strong> Lujia Zhang</p>
<strong>Species / Specimen:</strong> Caulobacter crescentus</p>
<strong>Strain:</strong> NA1000</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, over-express, from Partick, 4331</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/lza2018-07-10-4/rawdata/</p>targ27.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.5 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/lza2018-07-10-4/rawdata/targ27.mrc"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/e5cp9-hbj49
title: JV9298

description: Legionella pneumophila JV9298 DotF-GFP DotB E191K
description: <strong>Tilt Series Date:</strong> 2020-04-23</p>
<strong>Data Taken By:</strong> Yuxi Liu</p>
<strong>Species / Specimen:</strong> Legionella pneumophila</p>
<strong>Strain:</strong> Philadelphia-1_Lp02</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-54.0°, 54.0°), step: 3°, constant angular increment, dosage: 100.0 eV/Å²,  defocus: -4.0 μm,  magnification: 33000x. </p>
<strong>Acquisition Software:</strong> Serial EM</p>
<strong>Upload Method:</strong> rundir</p>
<strong>Processing Software Used:</strong> imod, tomo3d</p>
<strong>Collaborators and Roles:</strong> Sample preparation & data collection: Yuxi Liu Data processing: Phyllis Wang & Yuxi Liu</p>
<strong>Purification / Growth Conditions / Treatment:</strong> O.D. 2.5-3.0 in AYE</p>
<strong>Sample Preparation:</strong> Quantifoil R2/2 copper grid, 10nm gold, 100% humidity, 25deg C, 4uL of 2X concentrated cells Blotting: force 6, blot 3sec, wait 1sec</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2020-04-23-260/rawdata/</p>JV9298_PD-1-3_184.mrc,  Tilt Series (Pixel Size 0.26 nm), 1.6 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ylx2020-04-23-260/rawdata/JV9298_PD-1-3_184.mrc"
        > <i class="download icon"></i> Download </a></p>