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103 results for “MALDI”

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zenodo56/100

ClostriTof microflex Biotyper library plugin and associated raw Maldi spectra version 2.0

<p>This dataset contains the ClostriTof microflex Biotyper library&nbsp;plugin, an installation guide as well as the raw spectral data for all library and validation strains used to construct the ClostriTof library plugin.</p> <p>If you use this library for your research, please cite Asare et al., Frontiers in Microbiology, 2023; <a href="https://doi.org/10.3389/fmicb.2023.1104707">https://doi.org/10.3389/fmicb.2023.1104707</a></p> <p>We would like to thank Thomas Maier for his help with assembling version 2.0 of the ClostriTOF Database.</p>

opencc-by-4.0Mar 2023View details →
zenodo48/100

MALDI MS data and metadata from "A biocodicological analysis of the medieval library and archive from Orval Abbey, Belgium"

<p>See <a href="https://doi.org/10.1098/rsos.210210">Ruffini-Ronzani et al</a>.</p>

opencc-by-4.0Oct 2021View details →
zenodo44/100

MALDI-TOF-MS spectra of historical whale skeletons from the Museum of Zoology, Strasbourg

<p>Spectra data from historical whale skeletons from the Museum.&nbsp; Samples were&nbsp;acid demineralized&nbsp;followed by gelatinization, digestion with&nbsp;trypsin, and peptide purification on C18 filters.&nbsp; They were run on on Bruker autoflex MALDI-TOF-MS.&nbsp; Mzml file formats for the raw data are provided here along with a file information csv file which provides the identification of the samples.<br> <br> For more information see the associated publciation.</p>

opencc-by-4.0Apr 2020View details →
zenodo44/100

Version 4.2 (20230306) of the MALDI-ToF Mass Spectrometry Database for Identification and Classification of Highly Pathogenic Microorganisms from the Robert Koch-Institute (RKI)

<p><em>(Version </em>20230306<em>, </em>btmsp files modified May 31, 2023, additional taxonomic information added Dec 27, 2024<em>) </em></p> <p>Version 4.2 (20230306) of the RKI MALDI-ToF mass spectra database represents the third update of the original database (version 20161027,&nbsp;<a href="http://doi.org/10.5281/zenodo.163517">https://doi.org/10.5281/zenodo.163517</a>). The RKI Database v.4.2 now contains a total of 11055 MALDI-ToF mass spectra from 1601 microbial strains of highly pathogenic (i.e. biosafety level 3, BSL-3) bacteria such as <em>Bacillus anthracis</em>, <em>Brucella melitensis</em>, <em>Yersinia pestis</em>, <em>Burkholderia mallei / pseudomallei</em> and <em>Francisella tularensis</em> as well as a selection of spectra of their close and distant relatives. The database can be used as a reference for the diagnosis of BSL-3 bacteria using proprietary and free software packages for MALDI-ToF MS-based microbial identification. The spectral data are provided as a zip archive (<a href="https://zenodo.org/records/14562231/files/zenodo%20db%20230306.zip?download=1&amp;preview=1">zenodo db 230306.zip</a>) containing the original mass spectra in their native data format (Bruker Daltonics). Please refer to the pdf file (<a href="https://zenodo.org/records/14562231/files/230306-ZENODO-Metadata.pdf?download=1&amp;preview=1">230306-ZENODO-Metadata.pdf</a>) for information on cultivation conditions, sample preparation and details of the spectra acquisition. Please do not try to print this document (&gt;1600 pages!).</p> <p>Version 20230306 of the RKI database contains for the first time files in the <em>btmsp</em> format (e.g.&nbsp; <a href="https://zenodo.org/records/14562231/files/2023-May-23-Bacillus-RKI-Database-568.btmsp?download=1&amp;preview=1">2023-May-23-Bacillus-RKI-Database-568.btmsp </a> <a href="https://zenodo.org/api/files/35e90a0c-653d-4ba4-bf93-50b2bd80d073/2023-May-23-Bacillus-RKI-Database-570.btmsp"> </a>and others). These files were generated using the MALDI Biotyper software (Bruker Daltonics) and contain a total of 1601 main spectra (msp) from the BSL-3 database in the proprietary data format of the MALDI Biotyper software. *.<em>btmsp </em>files can be imported and used for identification with this software solution. Please refer to the manufacturer's manual for details on importing <em>btmsp </em>files. Note that the btmsp file available in database version 4 is broken and cannot be imported.</p> <p>The pkf files (<a href="https://zenodo.org/records/14562231/files/230306_ZENODO_30Peaks_0.75.pkf?download=1&amp;preview=1">230306_ZENODO_30Peaks_0.75.pkf</a>, <a href="https://zenodo.org/records/14562231/files/230306_ZENODO_45Peaks_0.75.pkf?download=1&amp;preview=1">230306_ZENODO_45Peaks_0.75.pkf</a>) represent two versions of the MS peak list data in a Matlab compatible format. The latter data can be imported into MicrobeMS, a free Matlab-based software solution developed at the RKI. MicrobeMS can be used for the identification of microorganisms by MALDI-ToF MS and is available at <a href="https://wiki-ms.microbe-ms.com">https://wiki-ms.microbe-ms.com</a>.</p> <p>The Excel file <a href="https://zenodo.org/records/14562231/files/Taxonomy%20information%20-%20RKI%20MALDI-ToF%20MS%20database%20of%20HPB%20at%20ZENODO%20v.4.xlsx?download=1&amp;preview=1">Taxonomy information - RKI MALDI-ToF MS database of HPB at ZENODO v.4.xlsx</a> contains additional taxonomic information such as a detailed list of bacterial MALDI-ToF mass spectra (sheet #1), overviews on the number of spectra per strain, species or bacterial genus (sheet #2), numbers of strains per species, or genus (sheet #3), etc.</p> <p>The RKI mass spectrometry database is updated regularly.</p> <p>The author would like to thank the following individuals for providing microbial strains and species or mass spectra thereof. Without their help, this work would not have been possible.</p> <ul> <li><strong>Wolfgang Beyer</strong> - University of Hohenheim, Faculty of Agricultural Sciences, Stuttgart, Germany</li> <li><strong>Guido Werner</strong> - Robert Koch-Institute, Nosocomial Pathogens and Antibiotic Resistances (FG13), Wernigerode, Germany</li> <li><strong>Alejandra Bosch</strong> - CINDEFI, CONICET-CCT La Plata, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina</li> <li><strong>Michal Drevinek</strong> - National Institute for Nuclear, Biological and Chemical Protection, Milin, Czech Republic</li> <li><strong>Roland Grunow, Daniela Jacob, Silke Klee, Susann Dupke </strong>and <strong>Holger Scholz</strong> - Robert Koch-Institute, Highly Pathogenic Microorganisms (ZBS2), Berlin, Germany</li> <li><strong>J&ouml;rg Rau </strong>- Chemisches und Veterin&auml;runtersuchungsamt Stuttgart, Fellbach, Germany</li> <li><strong>Jens Jacob</strong> - Robert Koch-Institute, Hospital Hygiene, Infection Prevention and Control (FG14), Berlin, Germany</li> <li><strong>Martin Mielke</strong> - Robert Koch-Institute, Department 1 - Infectious Diseases, Berlin, Germany</li> <li><strong>Monika Ehling-Schulz</strong> - Functional Microbiology, Institute of Microbiology, University of Veterinary Medicine, Vienna, Austria</li> <li><strong>Armand Paauw</strong> - Department of Medical Microbiology, CBRN protection, Universitair Medisch Centrum Utrecht, TNO, Rijswijk, The Netherlands</li> <li><strong>Herbert Tomaso</strong><strong> </strong>&ndash; Friedrich-L&ouml;ffler-Institut (FLI), Federal Research Institute for Animal Health, Jena, Germany</li> <li><strong>Gabriel Karner</strong><strong> </strong>- Karner D&uuml;ngerproduktion GmbH, Research &amp; Development, Neulengbach, Austria</li> <li><strong>Rainer </strong><strong>Borriss</strong><strong> </strong>- Institute of Marine Biotechnology e.V. (IMaB), Greifswald, Germany</li> <li><strong>Le Thi Thanh Tam</strong><strong> </strong>- Division of Plant Pathology and Phyto-Immunology, Plant Protection Research Institute, Hanoi, Socialist Republic of Vietnam</li> <li><strong>Xuewen</strong><strong> Gao</strong><strong> </strong>- College of Plant Protection, Nanjing Agricultural University, Key Laboratory of Integrated Management of Crop Diseases and Pests, Nanjing, People&rsquo;s Republic of China</li> </ul> <p>For a detailed description of the database see: Lasch, P., Beyer, W., Bosch, A. <em>et al.</em> A MALDI-ToF mass spectrometry database for identification and classification of highly pathogenic bacteria. <em>Sci Data</em> <strong>12</strong>, 187 (2025). <a href="https://doi.org/10.1038/s41597-025-04504-z">https://doi.org/10.1038/s41597-025-04504-z</a></p>

opencc-by-4.0Mar 2023View details →
zenodo44/100

MALDI-TOF spectra of bovine, caprine and ovine milk and their mixtures

<p>In this dataset we provide MALDI-TOF spectra of bovine milk in caprine and ovine milk. The dataset contains normalized spectra of pure milk samples and their mixtures. <strong>Different level of adulteration (0.5%, 1%, 5%, 10%, 20%, 40%, 60%, 80%)</strong> were analyzed throughout the lactation period of goat and sheep. Two different ranges of peptide-protein spectra <strong>(500&ndash;4000 Da; 4&ndash;20 kDa)</strong> were used. Exported spectra are in TXT files (<em>m/z</em> and intensity) for processing in other software (ex. mMass). Acquisition methods are included.</p> <p>MALDI-TOF MS analysis was performed using an Autoflex Speed (Bruker Daltonics, Germany) equipped with a SmartBeam<sup>TM</sup> II laser (355 nm) and flexControl software (version 3.4 Build 135, Bruker Daltonics, Germany).</p> <p>&nbsp;</p> <p>The dataset is a part of Supplementary file for the manuscript:</p> <p><em><strong>Evaluation of MALDI‐TOF MS technology in small ruminants&rsquo; milk adulteration using raw bovine milk</strong></em> by L. Rysova, P. Cejnar, O. Hanus, V. Legarova, J. Havlik, H. Nejeschlebova, I. Nemeckova, R. Jedelska, M. Bozik, submitted to <em>Journal of Dairy Science</em> (Manuscript ID JDS.2021-21396) on 08-Oct-2021.</p>

opencc-by-4.0Nov 2021View details →
zenodo44/100

MALDI-TOF-MS reference spectra and sequence data for domesticated equids (horse and donkey) collagen for Zooarchaeology by Mass Spectrometry (ZooMS)

<p>MALDI-TOF-MS spectra of extracted collagen from modern reference and archaeological bone samples to develop markers for Zooarchaeology by Mass Spectrometry (ZooMS) to distinguish between Equus species. &nbsp;For each sample digestions were done in both trypsin and chymotrypsin separately. &nbsp;Information about the species of the samples can be found in &#39;sample metadata.csv&#39; file. &nbsp;Information on the extraction and digestion protocol can be found in the associated manuscript. The sequence data contains alignments of the proteins COL1A1 and COL1A2 for available Equus collagen protein sequences. &nbsp;More information on these files can be found in the corresponding manuscript to this dataset.<br> &nbsp;</p>

opencc-by-4.0Jul 2022View details →
zenodo44/100

MALDI-TOF-MS spectra of archaeological bone fragments from Bandicoot Bay, Barrow Island (Australia) for ZooMS (Zooarchaeology by Mass Spectrometry)

<p>MALDI-TOF-MS spectra for archaeological bone fragments from&nbsp;Bandicoot Bay, Barrow Island, Western Australia. All spectra are uploaded in .mzml format.&nbsp;</p>

opencc-by-4.0Jul 2021View details →
zenodo44/100

MALDI MS Data and Metadata from "A biological reading of a palimpsest"

<p>Spectra in mzML format along with the metadata associated with it:</p> <ul> <li>The mzML file names follow the following format UoCXX_Y.mzML, where UoCXX is the sample name and Y is the replicate number (1, 2 or 3)</li> <li>uoc_metadata.csv file contains species, book and quire number associated with each spectra file.&nbsp;It is&nbsp;used in the data&nbsp;analysis in&nbsp;<a href="https://doi.org/10.5281/zenodo.7406297">doi.org/10.5281/zenodo.7406297</a></li> <li>Dataset S1.xlsx contains extended metadata&nbsp;with the results of the visual analysis of the parchment.</li> </ul>

opencc-by-4.0Jun 2022View details →
zenodo40/100

MALDI FTICR MS imaging data of pancreatic mouse tissue

<p>Preprocessed imaging mass spectrometry data (.imzML format) for mouse pancreatic Islets of Langerhans. Detailed information is given in the publication by Prade &amp; Kunzke et al. &quot;De novo discovery of metabolic heterogeneity with immunophenotype-guided imaging mass spectrometry&quot; (currently in revision).</p>

opencc-by-4.0Jan 2020View details →
zenodo40/100

Evaluation of MALDI‐ToF Mass Spectrometry for Rapid Detection of Cereulide from Bacillus cereus Cultures - MALDI-ToF Mass Spectra

<p>Datasets in support of the <em>bioRxiv </em>submitted paper Doellinger et al. (<strong>2019</strong>) &quot;<em>Evaluation of MALDI‐ToF Mass Spectrometry for Rapid Detection of Cereulide from Bacillus cereus Cultures&quot;</em> - MALDI-ToF Mass Spectra.</p> <p>The experiment and sample description and spectra numbering is consistent with the publication. Mass spectral data files are provided as unprocessed raw data in the manufacturer&#39;s original data format (Bruker Daltonics). Data is compressed using the freely available 7zip software.</p> <p><strong>Content:</strong></p> <p><em><strong>Figure 1.zip</strong></em>: Cereulide detection in <em>B. cereus</em> samples cultivated using different cultivation media and different sample preparation, or cereulide extraction methods.</p> <p><em><strong>Figure 2.zip</strong></em>: Effectivity of cereulide extraction by different solvents from <em>B. cereus</em> F4810/72 colony material.</p> <p><em><strong>Figure 3.zip</strong></em>: MALDI LIFT-ToF /ToF MS spectrum of cereulide.</p> <p><em><strong>Figure 4.zip</strong></em>: Determination of the limit of detection (LOD) of cereulide by MALDI- and LDI-ToF</p> <p><em><strong>Table 1.zip</strong></em>: Analysis of cereulide in <em>B. cereus</em> strains by MALDI-ToF MS.</p> <p><em><strong>Fig.SI.01.zip: </strong></em> Ultraperformance Liquid Chromatography &ndash; Mass Spectrometry (UPLC-MS/MS) analysis of ethanolic washing solutions of <em>B. cereus</em> F4810/72.</p> <p><em><strong>Fig.SI.02.zip:</strong></em> A selection of MALDI-ToF and LDI-ToF technical replicate mass spectra obtained from a commercial cereulide standard.</p> <p><em><strong>Fig.SI.03.zip:</strong></em> Limit of detection (LOD) of cereulide determined by MALDI- and LDI-ToF MS of ethanol wash solutions from <em>B. cereus</em> ATCC 10987 spiked by a cereulide standard.&nbsp;</p> <p><em><strong>Fig.SI.04.zip:</strong></em> Direct cereulide detection by means of MALDI- (panels <strong>A</strong>-<strong>F</strong>) and LDI-ToF MS (panels <strong>G</strong>-<strong>M</strong>) in linear and reflectron measurement mode.</p>

opencc-by-4.0Sep 2020View details →
zenodo40/100

Supplementary files - Evaluation of MALDI-TOF MS technology in small ruminant milk adulteration using raw bovine milk

<p>The dataset is a part of Supplementary file for the manuscript:</p> <p><strong>Evaluation of MALDI-TOF MS technology in small ruminant milk adulteration using raw bovine milk</strong> by L. Rysova, P. Cejnar, O. Hanus, V. Legarova, J. Havlik, H. Nejeschlebova, I. Nemeckova, R. Jedelska, M. Bozik, submitted to <em>Journal of Dairy Science</em> (Manuscript ID JDS.2021-21396),&nbsp;Received October 8, 2021, Accepted January 31, 2022, Corresponding author: bozik@af.czu.cz, <a href="https://doi.org/10.3168/jds.2021-21396">https://doi.org/10.3168/jds.2021-21396</a></p> <p><strong>File 1:</strong> Detailed MALDI-TOF method description</p> <p><strong>File 2: </strong>Quantification of milk adulteration &ndash; calibration of the model Quantification of milk adulteration &ndash; calibration of the model</p> <p><strong>Table S1:&nbsp;</strong>Baseline characteristics of pure bovine milk which was used as an adulterant of caprine milk<strong> </strong></p> <p><strong>Table S2: </strong>Baseline characteristics of pure bovine milk which was used as an adulterant of ovine milk</p> <p><strong>Table S3: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using set A as the training set and set B as the test set.</p> <p><strong>Table S4: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using both, set A and set B , as the one training set and set C as the test set.</p> <p><strong>Table S5: </strong>Root mean squared error (RMSE) of predicted caprine and ovine adulterated milk samples using set AB as the training set and set C as the test set.</p> <p>In this version <strong>SD values in Table S2 were corrected</strong>.</p>

opencc-by-4.0Mar 2022View details →
zenodo40/100

MALDI-TOF spectra of archaeological (Oncorhynchus) and modern (Salmo salar) bone collagen

<p>SPECIES INFORMATION<br> csv containing information about the samples that links the information about the species and files</p> <p><br> MALDI TOF-MS</p> <p>MALDI Spectra from a Bruker Ultraflex II range m/z 800-3500<br> Three technical replicates were averaged in mMass<br> Each of these spectra a tab delimited .txt file are uploaded</p> <p><br> SEQUENCE DATA<br> An aligned FASTA file containing the bovine reference collagen sequence and both versions of S. salar and O. mykiss sequences. &nbsp;The sequences are concatenated with COL1A1, COL1A2, and COL1A3 for the two fish and COL1A1, COL1A2, COL1A1 for bovine.</p> <p>Three annotated gff files containing the sequence from version 1 of S. salar annotated with the locations of the published mammal markers and the biomarkers presented in this paper. &nbsp;Each gff file corresponds to one of the three collagen proteins COL1A1, COL1A2, and COL1A3.</p>

opencc-by-4.0Apr 2019View details →
zenodo40/100

MALDI-TOF MS spectra data included in Dumolin et al. 2019

<p>MALDI-TOF MS and genome assembly data used for benchmarking of the SPeDE dereplication program.</p> <p>&nbsp;</p>

opencc-by-4.0May 2019View details →
zenodo40/100

SI and ZooMS spectra Cassenade (MALDI-TOF-MS)

<p>Supplementary Information (SI) for the paper:</p> <p>Ruebens, K., Discamps, E., Smith, G. M., Hublin, J-J. Integrating ZooMS and zooarchaeology to assess the Ch&acirc;telperronian and carnivore occupations at Cassenade (Dordogne, France), published in the gold open access journal PaleoAnthropology.</p> <ul> <li>SI 1: individual raw data files (10 .zip files with 2,550 mzxml files, representing 840 bone samples and 10 blanks, each spotted in triplicate, organised in 10 MALDI runs)</li> <li>SI 2: excel database listing information on plate number, MALDI run and triplicates (spot location), the identified peptide markers and ZooMS identifications (Barcode ID).</li> <li>SI 3: excel database with ZooMS identifications, zooarchaeological data (incl. body size classes) and taphonomic observations</li> <li>SI 4: excel database with the spatial coordinates for the piece-plotted bone fragments</li> <li>SI 5: tables for the statistical tests</li> <li>SI 6: R script used for making the figures and statistical tests</li> </ul> <p>Note: samples CAS-190-248 relate to bone fragments from old excavations which are not reported in this paper so not included in this database.&nbsp;</p> <p>Note: All samples were extracted using an AmBic protocol, except for samples 856-876 which were demineralised using HCl.&nbsp;</p> <p>For any questions please contact Karen Ruebens.</p> <p>Please use the DOI (10.5281/zenodo.11102785) when citing this dataset.</p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

MS-UMG: MALDI-TOF Mass Spectra and Resistance Information on Antimicrobials from University Medical Center Göttingen

<p>During routine diagnostic procedures, we aggregated MALDI-TOF MS data of organisms isolated from clinical specimens from the University Medical Center G&ouml;ttingen (UMG) in 2020 / 2021. We integrated these with corresponding antimicrobial susceptibility profiles. This amounted to &nbsp;26,961 mass spectra and 26,961 corresponding metadata entries for the year 2020, and 50,381 mass spectra and 50,381 corresponding metadata entries for 2021, respectively. The dataset reflects 348 different species of bacterial and fungal organisms and 72 different antimicrobial susceptibility testing (AST) results.</p> <p>&nbsp;</p> <p>Please cite:&nbsp;</p> <div> <div>Effect of Data Heterogeneity in Clinical MALDI-TOF Mass Spectra Profiles on Direct Antimicrobial Resistance Prediction through Machine Learning</div> </div> <div><span><span><span>Youngjun</span>&nbsp;<span>Park</span></span>,&nbsp;<span><span>Michael</span>&nbsp;<span>Weig</span></span>,&nbsp;<span><span>Christine</span>&nbsp;<span>Noll</span></span>,&nbsp;<span><span>Oliver</span>&nbsp;<span>Bader</span></span>,&nbsp;<span><span>Anne-Christin</span>&nbsp;<span>Hauschild</span></span></span></div> <div><span>bioRxiv&nbsp;</span><span>2024.10.18.617592;&nbsp;</span><span><span>doi:</span>&nbsp;https://doi.org/10.1101/2024.10.18.617592</span></div>

opencc-zeroSep 2024View details →
zenodo40/100

MALDI-TOF-MS spectra of modern Australian marsupials for ZooMS (Zooarchaeology by Mass Spectrometry)

<p>MALDI-TOF-MS spectra of extracted collagen from modern Australian marsupials. These spectra were used to develop peptide markers for Zooarchaeology by Mass Spectrometry (ZooMS). All spectra are uploaded in .mzml format.</p> <p>One sample per species was also analyzed with LC-MS/MS (indicated in the metadata file). The LC-MS/MS data is available at PXD027107 through MassIVE (doi:10.25345/C5TC2H). Information about the species and sample numbers can be found in the metadata file.</p>

opencc-by-4.0Jul 2021View details →
zenodo40/100

MALDI-TOF Spectra for Zooarcheology by Mass Spectrometry (ZooMS) for Borić et al. (2021)

<p>This dataset contains MALDI-TOF spectral data in .mzML&nbsp;format for zooarcheology by mass spectrometry (ZooMS) samples referenced in Borić&nbsp;et&nbsp;al. (2021).</p> <p>Folder names correspond to the ZooMS sample names referenced in the article. Files in the same folder are technical replicates.</p>

opencc-by-4.0Jul 2021View details →
zenodo40/100

Version 3 (20181130) of the MALDI-TOF Mass Spectrometry Database for Identification and Classification of Highly Pathogenic Microorganisms from the Robert Koch-Institute (RKI)

<p><em>(Version </em>20181130<em>) </em></p> <p><strong><em>Edit #1 (Mar 06, 2023): New database version (v.4.2 - 20230306) - available</em>: </strong><a href="https://zenodo.org/records/14562231">https://zenodo.org/records/14562231</a></p> <p>Version 3 (20181130) of the RKI&rsquo;s MALDI-TOF mass spectral database represents the second update of the original database (version 20161027, https://doi.org/10.5281/zenodo.163517). The RKI database v.3 contains altogether 6264 mass spectra from highly pathogenic (i.e. biosafety level 3, BSL-3) bacteria such as <em>Bacillus anthracis</em>, <em>Yersinia pestis</em>, <em>Burkholderia mallei</em>, <em>Burkholderia pseudomallei</em> and <em>Francisella tularensis</em> as well as a selection of spectra from their close and more distant relatives. The database can be used as a reference for the diagnostics of BSL-3 bacteria using proprietary and free software packages for MALDI-TOF MS-based microbial identification. Spectral data are distributed as a 7-zip archive that contains the original mass spectra in its native data format (Bruker Daltonics). Please refer to the pdf file (181130-ZENODO-Metadata.pdf) to obtain information on cultivation condition, sample preparation and details of spectra acquisition. Do not try to print this document (~1000 pages!)</p> <p>The pkf-file (181130_ZENODO_Peaklist_30Peaks_1.6.pkf) contains the MS peak list data in a Matlab compatible format. The latter data file can be imported into MicrobeMS, a Matlab-based free-of-charge software solution developed at RKI. MicrobeMS is available from <a href="https://wiki-ms.microbe-ms.com">https://wiki-ms.microbe-ms.com</a>.</p> <p>The RKI mass spectral database will be updated on a regular basis.</p> <p>The author's grateful thanks are given to the following persons for providing microbial strains and species, or mass spectra. Without their help this work would not be possible.</p> <ul> <li><strong>Wolfgang Beyer</strong> - University of Hohenheim, Faculty of Agricultural Sciences, Stuttgart, Germany</li> <li><strong>Guido Werner</strong> - Robert Koch-Institute, <em>Nosocomial Pathogens and Antibiotic Resistances</em> (FG13), Wernigerode, Germany</li> <li><strong>Alejandra Bosch</strong> - <em>CINDEFI, CONICET-CCT</em> La Plata, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, La Plata, Buenos Aires, Argentina</li> <li><strong>Michal Drevinek</strong> - National Institute for Nuclear, Biological and Chemical Protection, Milin, Czech Republic</li> <li><strong>Roland Grunow</strong> - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li><strong>Daniela Jacob</strong> - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li><strong>Silke Klee</strong> - Robert Koch-Institute, <em>Highly Pathogenic Microorganisms</em> (ZBS2), Berlin, Germany</li> <li><strong>J&ouml;rg Rau</strong> - Chemisches und Veterin&auml;runtersuchungsamt Stuttgart, Fellbach, Germany</li> <li><strong>Jens Jacob</strong> - Robert Koch-Institute, <em>Hospital Hygiene, Infection Prevention and Control </em>(FG14), Berlin, Germany</li> <li><strong>Martin Mielke</strong> - Robert Koch-Institute, <em>Department 1 - Infectious Diseases</em>, Berlin, Germany</li> <li><strong>Monika Ehling-Schulz</strong> - Functional Microbiology, Institute of Microbiology, University of Veterinary Medicine, Vienna, Austria</li> <li><strong>Armand Paauw</strong> - Department of Medical Microbiology, CBRN protection, Universitair Medisch Centrum Utrecht, TNO, Rijswijk, The Netherlands</li> </ul>

opencc-by-4.0Nov 2018View details →
zenodo40/100

MALDI-TOF-MS spectra of archaeological bone fragments from Klipdrift Shelter (South Africa) for ZooMS

<p>MALDI-TOF-MS spectra for archaeological bone fragments from Klipdrift Shelter (South Africa). All spectra are uploaded in .mzml format.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

MALDI-IMS files of 53 experiments over sections of nevus, primary melanoma and melanoma metastasis in imzml format

<p>MALDI-IMS files of 53 experiments over sections of nevus, primary melanoma and melanoma metastasis in imzml format. The experiments were recorded in negative-ion mode with a MALDI LTQ-orbitrap XL (ThermoFisher) at 25 um/pixel of spatial resolution. We also uploaded three .ppt with a comparison between the eosin-hematoxilin images, the IHC (MelanA and HMB45) and the segmentation images</p>

opencc-by-4.0Oct 2023View details →

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Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record