cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13130/rd_unimi/ie2mx0/rjnxdt
title: hypercube_data_2_58.pickle
DOI: 10.13130/rd_unimi/ie2mx0/urcuac
title: hypercube_data_8_5.pickle
DOI: 10.13130/rd_unimi/ie2mx0/fapssb
title: hypercube_data_8_42.pickle
DOI: 10.13130/rd_unimi/ie2mx0/hd3gnl
title: hypercube_data_8_6.pickle
DOI: 10.13130/rd_unimi/ie2mx0/arshln
title: hypercube_data_2_70.pickle
DOI: 10.13130/rd_unimi/ie2mx0/duorph
title: hypercube_data_8_18.pickle
DOI: 10.13130/rd_unimi/ie2mx0/dvc6jj
title: hypercube_data_8_27.pickle
DOI: 10.13130/rd_unimi/ie2mx0/wxqw7r
title: hypercube_data_2_57.pickle
DOI: 10.13130/rd_unimi/ie2mx0/pmhp7r
title: hypercube_data_8_22.pickle
DOI: 10.13130/rd_unimi/ie2mx0/s4ut9z
title: hypercube_data_8_11.pickle
DOI: 10.13130/rd_unimi/ie2mx0/t441ws
title: hypercube_data_8_61.pickle
DOI: 10.13130/rd_unimi/ie2mx0/kvigce
title: hypercube_data_8_63.pickle
DOI: 10.13130/rd_unimi/ie2mx0/v35ziz
title: hypercube_data_2_90.pickle
DOI: 10.13130/rd_unimi/ie2mx0/qacoeq
title: hypercube_data_4_51.pickle
DOI: 10.13130/rd_unimi/ie2mx0/utf8xs
title: hypercube_data_4_57.pickle
DOI: 10.13130/rd_unimi/ie2mx0/qy6od2
title: hypercube_data_4_81.pickle
DOI: 10.13130/rd_unimi/ie2mx0/wjau9c
title: hypercube_data_2_25.pickle
DOI: 10.13130/rd_unimi/ie2mx0/acrfqf
title: hypercube_data_4_88.pickle
DOI: 10.13130/rd_unimi/ie2mx0/pgjz65
title: hypercube_data_2_77.pickle
DOI: 10.13130/rd_unimi/ie2mx0/je4jli
title: hypercube_data_8_42.pickle
DOI: 10.13130/rd_unimi/ie2mx0/9tqrnf
title: hypercube_data_4_11.pickle
DOI: 10.13130/rd_unimi/ie2mx0/sladzj
title: hypercube_data_2_14.pickle
DOI: 10.13130/rd_unimi/ie2mx0/bi4lgd
title: hypercube_data_4_87.pickle
DOI: 10.13130/rd_unimi/ie2mx0/jgdvd0
title: hypercube_data_2_96.pickle
DOI: 10.13130/rd_unimi/ie2mx0/8cchkr
title: hypercube_data_2_87.pickle
DOI: 10.13130/rd_unimi/ie2mx0/uv88va
title: hypercube_data_2_37.pickle
DOI: 10.13130/rd_unimi/ie2mx0/sclzhm
title: hypercube_data_4_47.pickle
DOI: 10.13130/rd_unimi/ie2mx0/tuw5ov
title: hypercube_data_2_7.pickle
DOI: 10.13130/rd_unimi/ie2mx0/zsp18x
title: hypercube_data_2_6.pickle
DOI: 10.13130/rd_unimi/ie2mx0/zyowg4
title: hypercube_data_2_98.pickle
DOI: 10.13130/rd_unimi/ie2mx0/drhy84
title: hypercube_data_4_34.pickle
DOI: 10.13130/rd_unimi/ie2mx0/olsvg3
title: hypercube_data_4_2.pickle
DOI: 10.13130/rd_unimi/ie2mx0/dwzof4
title: hypercube_data_2_50.pickle
DOI: 10.13130/rd_unimi/ie2mx0/lawjph
title: hypercube_data_2_27.pickle
DOI: 10.13130/rd_unimi/ie2mx0/5povuv
title: hypercube_data_2_13.pickle
DOI: 10.13130/rd_unimi/ie2mx0/afzm1s
title: hypercube_data_8_64.pickle
DOI: 10.13130/rd_unimi/ie2mx0/izn5wl
title: hypercube_data_2_13.pickle
DOI: 10.13130/rd_unimi/ie2mx0/cz0mxn
title: hypercube_data_2_58.pickle
DOI: 10.13130/rd_unimi/ie2mx0/prsh9c
title: hypercube_data_2_3.pickle
DOI: 10.13130/rd_unimi/ie2mx0/ewb4ke
title: hypercube_data_8_23.pickle
DOI: 10.13130/rd_unimi/ie2mx0/tcgo7a
title: hypercube_data_4_75.pickle
DOI: 10.13130/rd_unimi/ie2mx0/7abw6y
title: hypercube_data_4_66.pickle
DOI: 10.13130/rd_unimi/ie2mx0/k4qela
title: hypercube_data_8_47.pickle
DOI: 10.13130/rd_unimi/ie2mx0/obgqyi
title: hypercube_data_4_78.pickle
DOI: 10.13130/rd_unimi/ie2mx0/ryvwl8
title: hypercube_data_4_39.pickle
DOI: 10.13130/rd_unimi/ie2mx0/0bkqqh
title: hypercube_data_4_48.pickle
DOI: 10.13130/rd_unimi/ie2mx0/xlp5y4
title: hypercube_data_8_87.pickle
DOI: 10.13130/rd_unimi/ie2mx0/mv0pqa
title: hypercube_data_2_65.pickle
DOI: 10.13130/rd_unimi/ie2mx0/8tp8ef
title: hypercube_data_8_37.pickle
DOI: 10.13130/rd_unimi/ie2mx0/dy3cb6
title: hypercube_data_4_29.pickle
DOI: 10.13130/rd_unimi/ie2mx0/1abnfb
title: hypercube_data_4_5.pickle
DOI: 10.13130/rd_unimi/ie2mx0/42i7im
title: hypercube_data_4_53.pickle
DOI: 10.13130/rd_unimi/ie2mx0/3zhbzo
title: hypercube_data_4_18.pickle
DOI: 10.13130/rd_unimi/ie2mx0/jffvqp
title: hypercube_data_2_29.pickle
DOI: 10.13130/rd_unimi/ie2mx0/gjti5o
title: hypercube_data_8_47.pickle
DOI: 10.13130/rd_unimi/ie2mx0/nffh7q
title: hypercube_data_4_25.pickle
DOI: 10.13130/rd_unimi/ie2mx0/br1son
title: hypercube_data_8_82.pickle
DOI: 10.13130/rd_unimi/ie2mx0/zj8qcj
title: hypercube_data_4_21.pickle
DOI: 10.13130/rd_unimi/ie2mx0/e0luas
title: hypercube_data_2_15.pickle
DOI: 10.13130/rd_unimi/ie2mx0/emycvd
title: hypercube_data_2_93.pickle
DOI: 10.13130/rd_unimi/ie2mx0/h7wu7l
title: hypercube_data_2_56.pickle
DOI: 10.13130/rd_unimi/ie2mx0/rrk3oy
title: hypercube_data_8_56.pickle
DOI: 10.13130/rd_unimi/ie2mx0/piok4a
title: hypercube_data_8_45.pickle
DOI: 10.13130/rd_unimi/ie2mx0/qllawi
title: hypercube_data_8_61.pickle
DOI: 10.13130/rd_unimi/ie2mx0/azn1sn
title: hypercube_data_2_35.pickle
DOI: 10.13130/rd_unimi/ie2mx0/oarakz
title: hypercube_data_4_41.pickle
DOI: 10.13130/rd_unimi/ie2mx0/spf5ao
title: hypercube_data_2_100.pickle
DOI: 10.13130/rd_unimi/ie2mx0/836ol7
title: hypercube_data_8_41.pickle
DOI: 10.13130/rd_unimi/ie2mx0/e98b0q
title: hypercube_data_4_24.pickle
DOI: 10.13130/rd_unimi/ie2mx0/lhpgle
title: hypercube_data_8_32.pickle
DOI: 10.13130/rd_unimi/ie2mx0/pafrj5
title: hypercube_data_8_84.pickle
DOI: 10.13130/rd_unimi/ie2mx0/qki86u
title: hypercube_data_8_38.pickle
DOI: 10.13130/rd_unimi/ie2mx0/bnu6xr
title: hypercube_data_4_67.pickle
DOI: 10.13130/rd_unimi/ie2mx0/pbvl9v
title: hypercube_data_4_49.pickle
DOI: 10.13130/rd_unimi/ie2mx0/5zbhuf
title: hypercube_data_8_59.pickle
DOI: 10.13130/rd_unimi/ie2mx0/aroe1q
title: hypercube_data_2_10.pickle
DOI: 10.13130/rd_unimi/ie2mx0/cjoouq
title: hypercube_data_2_79.pickle
DOI: 10.13130/rd_unimi/ie2mx0/jzgclb
title: hypercube_data_2_67.pickle
DOI: 10.13130/rd_unimi/ie2mx0/iewoll
title: hypercube_data_8_21.pickle
DOI: 10.13130/rd_unimi/ie2mx0/xgu625
title: hypercube_data_2_24.pickle
DOI: 10.13130/rd_unimi/ie2mx0/17upp9
title: hypercube_data_8_26.pickle
DOI: 10.13130/rd_unimi/ie2mx0/2cfmfn
title: hypercube_data_4_92.pickle
DOI: 10.13130/rd_unimi/ie2mx0/fyjdxw
title: hypercube_data_4_99.pickle
DOI: 10.13130/rd_unimi/ie2mx0/lkvq4c
title: hypercube_data_8_53.pickle
DOI: 10.13130/rd_unimi/ie2mx0/gvr2pn
title: hypercube_data_2_64.pickle
DOI: 10.13130/rd_unimi/kts29v
title: Replication Data for: Muscle proteome analysis of facioscapulohumeral dystrophy patients reveals a metabolic rewiring promoting oxidative/reductive stress contributing to the loss of muscle function

description: This dataverse include the 2-D DIGE and LC-MS/MS proteomics datasets of changed proteins generated in the study: “muscle proteome analysis of facioscapulohumeral dystrophy patients reveals a metabolic rewiring promoting oxidative/reductive stress contributing to the loss of muscle function” by Manuela Moriggi, Lucia Ruggiero, Enrica Torretta, Dario Zoppi, Beatrice Arosio, Evelyn Ferri, Alessandra Castegna, Chiara Fiorillo, Cecilia Gelfi and Daniele Capitanio. Data were generated by LC-ESI-MS/MS with label-free quantitation. Mass spectra were analyzed using MaxQuant software (Max-Planck-Institute of Biochemistry, Munich, Germany, version 1.6.17.0). Statistical analyses were performed using the Perseus software (Max Planck Institute of Biochemistry, Munich, Germany, version 1.6.15.0). For statistical analysis, Student's t-test with a p-value threshold of 0.05 was applied. To exclude the presence of false positives from the analysis, Benjamini–Hochberg false discovery rate test was applied.
DOI: 10.13130/rd_unimi/pnvc2i
title: Replication Data for: Latitudinal patterns of microplastic contamination in remote areas

description: Data within the article "Latitudinal patterns of microplastic contamination in remote areas", published in 2025 by Environmental Research (https://doi.org/10.1016/j.envres.2025.121553). Samples were collected from 9 glaciers and processed with a density separation and digestion of organic matter, followed by analysis of particles at microFTIR. Included files: Abundance and polymeric composition, glacier characteristics and scripts.
DOI: 10.13130/rd_unimi/3so3sp
title: replication data for: "Stereochemical Behavior of Pyrrolo-Pyrazole Peptidomimetics Promoting Phase-Selective Supramolecular Organogels"

description: Supramolecular gels were developed by taking advantage of an assembly of small dipeptides containing pyrrolo-pyrazole scaffolds. The dipeptides were prepared through a robust and ecofriendly synthetic approach from the commercially available starting materials of diazoalkanes and maleimides. By playing with the functionalization of the scaffold, the choice of the natural amino acid, and the stereochemistry, we were able to obtain phase-selective gels. In particular, one peptidomimetic showed gelation ability and thermoreversibility in aromatic solvents at very low concentrations. Rheology tests showed a typical viscoelastic solid profile, indicating the formation of strong gels that were stable under high mechanical deformation. NMR studies were performed, allowing us to determine the conformational and stereochemical features at the base of the supramolecular interactions.
DOI: 10.13130/rd_unimi/wpoxs5
title: replication data for: "Smart Electrospun Nanofibers from Short Peptidomimetics Based on Pyrrolo-pyrazole Scaffold"

description: We prepared a small library of short peptidomimetics based on 3-pyrrolo-pyrazole carboxylate, a non-coded γ-amino acid, and glycine or alanine. The robust and eco-friendly synthetic approach adopted allows to obtain the dipeptides in two steps from commercial starting materials. This gives the possibility to shape these materials by electrospinning into micro- and nanofibers, in amounts required to be useful for coating surfaces of biomedical relevance. To promote high quality of electrospun fibers, different substitution patterns were evaluated, all for pure peptide fibers, free of any polymer or additive. The best candidate, which affords a homogeneous fibrous matrix, was prepared in larger amounts, and its biocompatibility was verified. This successful work is the first step to develop a new biomaterial able to produce pristine peptide-based nanofibers to be used as helpful component or stand-alone scaffolds for tissue engineering or for the surface modification of medical devices.
DOI: 10.13130/rd_unimi/uzi5o8
title: Replication data for Positive Set of lipidomic data of "PONE-D-24-15462 Untargeted lipidomics reveals unique lipid signatures of extracellular vesicles from porcine colostrum and milk"

description: This set of data presents the positive mass spectrometry data. Details can be found in the manuscript. PONE-D-24-15462
Untargeted lipidomics reveals unique lipid signatures of extracellular vesicles from
porcine colostrum and milk.
Rafaela Furioso Ferreira, Morteza H. Ghaffari, Fabricio Ceciliani, Manuela Fontana, Donatella Caruso, Matteo Audano, Giovanni Savoini, Alessandro Agazzi, Vladimir Mrljak, and Helga Sauerwein
description: Data are in the format .wiff and .wiff.scan, as described in. 
Deutsch EW. File formats commonly used in mass spectrometry proteomics. Mol Cell Proteomics. 2012 Dec;11(12):1612-21. doi: 10.1074/mcp.R112.019695. Epub 2012 Sep 6. PMID: 22956731; PMCID: PMC3518119.
Dedicated software are needed to open and analyse the data, like https://www.ms-imaging.org/msimageview/.
DOI: 10.15468/dl.23s4z9
title: Occurrence Download

description: A dataset containing 1153200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.93076 52.85439,6.71497 53.24633,6.4155 53.24486,6.34504 53.19936,6.34651 53.07311,6.48009 52.96889,6.57257 52.85732,6.59019 52.72521,6.70175 52.86026,6.78102 52.83237,6.93076 52.85439))",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1153200 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002965-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6zpys
title: Occurrence Download

description: A dataset containing 459304 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((142.576 -7.427288, 145.4547 -7.427288, 145.4547 -4.182004, 142.576 -4.182004, 142.576 -7.427288))"
 ]
}

 The dataset includes 459304 records from 376 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013202-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vsbq9x
title: Occurrence Download

description: A dataset containing 5824 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carallia brachiata (Lour.) Merr."
 ]
}

 The dataset includes 5824 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011304-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.97pb9v
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capsicum minimum Roxb."
 ]
}

 The dataset includes 44 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011303-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13127/beachballs2021
title: Beach Balls in central-eastern Italy
title: Beach Balls in Italia Centro-Orientale

description: The dataset contains the focal mechanisms derived from the waveform polarities recorded by RESiICO (Rete Sismometrica Integrata dell'Italia Centro Orientale-Central-eastern Italy Seismometric Network) [Monachesi et al., 2012].
Focal mechanisms are calculated for all earthquakes recorded from 1st August, 2009 onwards, with number of polarities ≥ 25, erh and erz ≤ 10.0, located with Hypoellipse [J. C. Lahr, 1999]. The programs used to calculate and display the focal mechanisms are FPFIT FPPLOT and FPPAGE [P. Reasenberg and D. Oppenheimer, 1985] under a Linux platform.
description: Il dataset contiene i meccanismi focali derivati dalle polarità registrate dalla RESiICO  (Rete Sismometrica Integrata dell'Italia Centro Orientale-Central-eastern Italy Seismometric Network) [Monachesi et al., 2012].
I meccanismi focali sono calcolati per tutti i terremoti calcolati dal 1 Agosto 2009 in poi, con un numero di polarità ≥ 25, erh e erz ≤ 10.0, localizzati con Hypoellipse  [J. C. Lahr, 1999].
I programmi utilizzati per calcolare e mostrare i meccanismi focali sono FPFIT FPPLOT e FPPAGE [P. Reasenberg and D. Oppenheimer, 1985] su piattaforma Linux.
DOI: 10.15468/dl.22rwv2
title: Occurrence Download

description: A dataset containing 787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Portugal",
 "DatasetKey is one of (iNaturalist Research-grade Observations, Sightings Map of Invasive Plants in Portugal, Movhera Foz-Tua: Vascular Fora and Habitats – Ecological Monitoring Program – Exploration Phase [2021-2023], Movhera Baixo Sabor: Construction and Reservoir Filling Phases – Vascular Flora and Habitats: species from prioritary conservation habitats - [2021-2023], Biodiversity4all Research-Grade Observations, Movhera Foz-Tua: Vascular Fora and Habitats – Minimization Measures Monitoring Program (MM18, “Maintenance and Recovery of Autochthonous Riparian Vegetation in the Interlevel Range of Reservoir”) and MM46, “Creation of Artificial Sedimentation Terraces”) – Exploration Phase [2021-2023], Movhera Foz-Tua: Vascular Fora – Compensatory Measures Monitoring Program (MC12a-e) – Exploration Phase [2021], Observation.org, Nature data from around the World)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, 16e26fb0-7f13-4ae2-b57c-2543f451f5b3, cadfe257-a0d1-4106-9f9f-77ab1dcf1349, e3aa237e-53c8-4c46-93ef-77a18bb9c80e, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f)",
 "TaxonKey is Ailanthus altissima (Mill.) Swingle",
 "Year 2019-2024"
 ]
}

 The dataset includes 787 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011305-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/xwy9dw
title: Replication Data for: Stable Jobs, Poorer Mental Health? Weighted Sequence Evidence on the “Stable-Employment Paradox” in Australia (2001–2023)

description: Replication Data for: Stable Jobs, Poorer Mental Health? Weighted Sequence Evidence on the “Stable-Employment Paradox” in Australia (2001–2023)
DOI: 10.48573/hjna-hq17
title: Surface Groups Venezuela 1984-2023
DOI: 10.48573/v5ae-7r26
title: Surface Groups Venezuela 1984-2023
DOI: 10.22002/pkvz5-kgz27
title: P. aeruginosa T6SS minicell

description: Pseudomonas JT1599Grid box YWC247
description: <strong>Tilt Series Date:</strong> 2017-04-14</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</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: 1.5°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain from Jonida Toska at John Mekalanos lab</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-04-14-79/rawdata/</p>20170414_YWC247_10088.mrc,  Tilt Series (Pixel Size 0.39 nm), 2.3 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2017-04-14-79/rawdata/20170414_YWC247_10088.mrc"
        > <i class="download icon"></i> Download </a></p>

        20170414_YWC247_10088_part81_2.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/ycw2017-04-14-79/3dimage_83798/20170414_YWC247_10088_part81_2.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/xfq1k-k2g17
title: P41 + P24

description: Raw data files of P41 + P24
description: <strong>Tilt Series Date:</strong> 2016-06-06</p>
<strong>Data Taken By:</strong> Songye Chen</p>
<strong>Species / Specimen:</strong> Mycoplasma pneumoniae</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-65.0°, 65.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -8.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Edward Sheppard from Duncan Krause's lab prepared the cell culture</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scy2016-06-06-62/rawdata/</p>at80023.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scy2016-06-06-62/rawdata/at80023.mrc"
        > <i class="download icon"></i> Download </a></p>

        at80023.rec,  Reconstruction (Pixel Size 1.56 nm), 711.2 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/scy2016-06-06-62/3dimage_75555/at80023.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/v6wh5-g9757
title: HeLa cells

description: looking for midbodies
description: <strong>Tilt Series Date:</strong> 2015-02-09</p>
<strong>Data Taken By:</strong> Rasika Ramdasi</p>
<strong>Species / Specimen:</strong> HeLa cells</p>
<strong>Strain:</strong> ATCC</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: -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> UCSF tomo</p>
<strong>Sample Preparation:</strong> HeLa cells_siRNA NUP 153+ thymidine 2mM, 14 h</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/rra2015-02-09-15/rawdata/</p>atlas20011.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/rra2015-02-09-15/rawdata/atlas20011.mrc"
        > <i class="download icon"></i> Download </a></p>

        atlas20011_part121_2.rec,  Reconstruction (Pixel Size 1.92 nm), 623.6 MB  
        
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DOI: 10.22002/fph32-p4m92
title: Veillonella parvula

description: Raw data files of Veillonella parvula
description: <strong>Tilt Series Date:</strong> 2015-05-21</p>
<strong>Data Taken By:</strong> Elitza Tocheva</p>
<strong>Species / Specimen:</strong> Veillonella parvula</p>
<strong>Strain:</strong> </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: -10.0 μm,  magnification: 18000x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Emma Allen Vercoe</p>
<strong>Purification / Growth Conditions / Treatment:</strong> clinical isolate</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/etl2015-05-21-12/rawdata/</p>Veillonella0008.mrc,  Tilt Series (Pixel Size 0.63 nm), 3.4 GB  
        
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        Veillonella0008_part121_6.rec,  Reconstruction (Pixel Size 2.52 nm), 534.5 MB  
        
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