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73 results for “reference standard”
Liquid Chromatography - Tandem Mass Spectrometry (LC-MS/MS) and Gas Chromatography - Mass Spectrometry (GC-MS) Reference Libraries from Global Natural Products Social Molecular Networking (GNPS) and National Institute of Standards and Technology (NIST) WebBook Processed for Spectral Library Matching
<div>In order to obtain a high-quality LC-MS/MS reference database for spectral library matching, we selected 22 high-quality GNPS tandem mass spectrometry databases generated under the positive ion mode. Further preprocessing similar to Huber et al involving mass-to-charge (m/z) and intensity filtering yields the database found in the file LCMS_GNPS_reference_library.csv which contains 14,705 electrospray ionization (ESI) mass spectra, each of which corresponds to a unique compound. The NIST WebBook database was used to construct GC-MS database contained in the file GCMS_NIST_WebBook.csv. This database contains 23,721 electron ionization (EI) mass spectra, each of which corresponds to a unique non-hyphenated Chemical Abstract Service (CAS) Registry Number.</div> <div> </div> <div>Both LC-MS/MS and GC-MS databases are organized into three columns: one for the identifier, one for the m/z values, and one for the intensity values. For example, if spectrum A has 20 ion fragments, then there will be 20 rows corresponding to spectrum A in the corresponding database with the identifier A repeated 20 times with the corresponding m/z and intensity values.</div>
Multi-organ Abdominal CT Reference Standard Segmentations
<p>DenseVNet Multi-organ Segmentation on Abdominal CT</p> <p>This dataset includes the multi-organ abdominal CT reference segmentations publicly released in conjunction with the IEEE Transactions on Medical Imaging paper "Automatic Multi-organ Segmentation on Abdominal CT with Dense V-networks" <a href="#1">[1]</a>.</p> <p>The data comprises reference segmentations for 90 abdominal CT images delineating multiple organs: the spleen, left kidney, gallbladder, esophagus, liver, stomach, pancreas and duodenum.</p> <p>The abdominal CT images and some of the reference segmentations were drawn from two data sets: <a href="http://doi.org/10.7937/K9/TCIA.2016.tNB1kqBU">The Cancer Image Archive (TCIA) Pancreas-CT data set</a> [<a href="#2">2</a>-<a href="#4">4</a>] and the <a href="https://doi.org/10.7303/syn3193805">Beyond the Cranial Vault (BTCV) Abdomen data set</a> [<a href="#5">5</a>-<a href="#6">6</a>]. The Pancreas-CT data set comprises abdominal CT acquired at the National Institutes of Health Clinical Center from pre-nephrectomy healthy kidney donors or patients with neither major abdominal pathologies nor pancreatic cancer lesions. Segmentations of the pancreas are included with this data set; images were manually labeled slice-by-slice by a medical student, and verified/modified by an experienced radiologist. The BTCV data set comprises abdominal CT acquired at the Vanderbilt University Medical Center from metastatic liver cancer patients or post-operative ventral hernia patients. Segmentations of the spleen, right and left kidney, gallbladder, esophagus, liver, stomach, aorta, inferior vena cava, portal vein and splenic vein, pancreas, right adrenal gland, left adrenal gland are included in this data set; images were manually labeled by two experienced undergraduate students, and verified by a radiologist on a volumetric basis using the MIPAV software.</p> <p>Segmentations that were not present in the original data sets were performed interactively using Matlab 2015b and ITK-SNAP 3.2 by an image research fellow under the supervision of a board-certified radiologist with 8 years of experience in gastrointestinal CT and MRI image interpretation. Segmentations that were present in the original data sets were edited to ensure a consistent segmentation protocol across the data set.</p> <p>Terms of use</p> <p>The terms of use of this data set include the terms of use of both the <a href="http://doi.org/10.7937/K9/TCIA.2016.tNB1kqBU">TCIA Pancreas-CT data set</a> (see tabs for data links and terms of use) and the <a href="https://doi.org/10.7303/syn3193805">Beyond the Cranial Vault (BTCV) Abdomen data set</a> (<a href="https://doi.org/10.7303/syn3193805">terms of use</a>; after <a href="https://www.synapse.org/#!Synapse:syn3193805/wiki/217753">registration</a>, you can <a href="https://www.synapse.org/#!Synapse:syn3376386">access the data</a>). If you use these reference segmentations, please cite the above manuscript and the references below. Because these data include manual segmentations of images from the Beyond the Cranial Vault challenge test data, they may not be used to develop submissions for the challenge.</p> <p>References</p> <p>[1] Gibson E, Giganti F, Hu Y, Bonmati E, Bandula S, Gurusamy K, Davidson B, Pereira SP, Clarkson MJ, Barratt DC. Automatic multi-organ segmentation on abdominal CT with dense v-networks. IEEE Transactions on Medical Imaging, 2018.</p> <p>[2] Roth HR, Farag A, Turkbey EB, Lu L, Liu J, and Summers RM. (2016). Data From Pancreas-CT. The Cancer Imaging Archive. <a href="http://doi.org/10.7937/K9/TCIA.2016.tNB1kqBU">http://doi.org/10.7937/K9/TCIA.2016.tNB1kqBU</a></p> <p>[3] Roth HR, Lu L, Farag A, Shin H-C, Liu J, Turkbey EB, Summers RM. DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. N. Navab et al. (Eds.): MICCAI 2015, Part I, LNCS 9349, pp. 556–564, 2015. <a href="http://arxiv.org/pdf/1506.06448.pdf">http://arxiv.org/pdf/1506.06448.pdf</a></p> <p>[4] Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. <a href="http://doi.org/10.1007/s10278-013-9622-7">http://doi.org/10.1007/s10278-013-9622-7</a></p> <p>[5] Xu Z, Lee CP, Heinrich MP, Modat M, Rueckert D, Ourselin S, Abramson RG, and Landman BA, "Evaluation of six registration methods for the human abdomen on clinically acquired CT," IEEE Trans. Biomed. Eng., vol. 63, no. 8, pp. 1563–1572, 2016.<a href="http://doi.org/10.1109/TBME.2016.2574816">http://doi.org/10.1109/TBME.2016.2574816</a></p> <p>[6] Landman BA, Xu Z, Igelsias JE, Styner M, Langerak TR, and Klein A, "MICCAI multi-atlas labeling beyond the cranial vault - workshop and challenge," 2015, <a href="https://doi.org/10.7303/syn3193805">https://doi.org/10.7303/syn3193805</a></p> <p>File format Labels are in NIfTI format with the following label definitions. Labels marked with * are only available in the BTCV data set.</p> <ol> <li>spleen</li> <li>right kidney*</li> <li>left kidney</li> <li>gallbladder</li> <li>esophagus</li> <li>liver</li> <li>stomach</li> <li>aorta*</li> <li>inferior vena cava*</li> <li>portal vein and splenic vein*</li> <li>pancreas</li> <li>right adrenal gland*</li> <li>left adrenal gland*</li> <li>duodenum</li> </ol> <p>Subjects included in the dataset</p> <p>The data comprises segmentation volumes for 90 cases, and the cropping coordinates (cropping.csv) used in the manuscript. The abdominal CT can be obtained from the links above. The reference standard segmentations may be incomplete outside of the specified cropping region. The cases are listed by their subject identifiers in their original data set:</p> <p> </p> <p><span class="math-tex">\(\begin{bmatrix} 1 & TCIA & Pancreas-CT & 0002\\ 2 & TCIA & Pancreas-CT & 0003\\ 3 & TCIA & Pancreas-CT & 0004\\ 4 & TCIA & Pancreas-CT & 0005\\ 5 & TCIA & Pancreas-CT & 0006\\ 6 & TCIA & Pancreas-CT & 0007\\ 7 & TCIA & Pancreas-CT & 0008\\ 8 & TCIA & Pancreas-CT & 0009\\ 9 & TCIA & Pancreas-CT & 0010\\ 10 & TCIA & Pancreas-CT & 0011\\ 11 & TCIA & Pancreas-CT & 0012\\ 12 & TCIA & Pancreas-CT & 0013\\ 13 & TCIA & Pancreas-CT & 0014\\ 14 & TCIA & Pancreas-CT & 0016\\ 15 & TCIA & Pancreas-CT & 0017\\ 16 & TCIA & Pancreas-CT & 0018\\ 17 & TCIA & Pancreas-CT & 0019\\ 18 & TCIA & Pancreas-CT & 0020\\ 19 & TCIA & Pancreas-CT & 0021\\ 20 & TCIA & Pancreas-CT & 0022\\ 21 & TCIA & Pancreas-CT & 0024\\ 22 & TCIA & Pancreas-CT & 0025\\ 23 & TCIA & Pancreas-CT & 0026\\ 24 & TCIA & Pancreas-CT & 0027\\ 25 & TCIA & Pancreas-CT & 0028\\ 26 & TCIA & Pancreas-CT & 0029\\ 27 & TCIA & Pancreas-CT & 0030\\ 28 & TCIA & Pancreas-CT & 0031\\ 29 & TCIA & Pancreas-CT & 0032\\ 30 & TCIA & Pancreas-CT & 0033\\ 31 & TCIA & Pancreas-CT & 0034\\ 32 & TCIA & Pancreas-CT & 0035\\ 33 & TCIA & Pancreas-CT & 0038\\ 34 & TCIA & Pancreas-CT & 0039\\ 35 & TCIA & Pancreas-CT & 0040\\ 36 & TCIA & Pancreas-CT & 0041\\ 37 & TCIA & Pancreas-CT & 0042\\ 38 & TCIA & Pancreas-CT & 0043\\ 39 & TCIA & Pancreas-CT & 0044\\ 40 & TCIA & Pancreas-CT & 0045\\ 41 & TCIA & Pancreas-CT & 0046\\ 42 & TCIA & Pancreas-CT & 0047\\ 43 & TCIA & Pancreas-CT & 0048\\ 44 & Synapse & BeyondTheCranialVault & 0001\\ 45 & Synapse & BeyondTheCranialVault & 0002\\ 46 & Synapse & BeyondTheCranialVault & 0003\\ 47 & Synapse & BeyondTheCranialVault & 0004\\ 48 & Synapse & BeyondTheCranialVault & 0005\\ 49 & Synapse & BeyondTheCranialVault & 0006\\ 50 & Synapse & BeyondTheCranialVault & 0007\\ 51 & Synapse & BeyondTheCranialVault & 0008\\ 52 & Synapse & BeyondTheCranialVault & 0009\\ 53 & Synapse & BeyondTheCranialVault & 0010\\ 54 & Synapse & BeyondTheCranialVault & 0021\\ 55 & Synapse & BeyondTheCranialVault & 0022\\ 56 & Synapse & BeyondTheCranialVault & 0023\\ 57 & Synapse & BeyondTheCranialVault & 0024\\ 58 & Synapse & BeyondTheCranialVault & 0025\\ 59 & Synapse & BeyondTheCranialVault & 0026\\ 60 & Synapse & BeyondTheCranialVault & 0027\\ 61 & Synapse & BeyondTheCranialVault & 0028\\ 62 & Synapse & BeyondTheCranialVault & 0029\\ 63 & Synapse & BeyondTheCranialVault & 0030\\ 64 & Synapse & BeyondTheCranialVault & 0031\\ 65 & Synapse & BeyondTheCranialVault & 0032\\ 66 & Synapse & BeyondTheCranialVault & 0033\\ 67 & Synapse & BeyondTheCranialVault & 0034\\ 68 & Synapse & BeyondTheCranialVault & 0035\\ 69 & Synapse & BeyondTheCranialVault & 0036\\ 70 & Synapse & BeyondTheCranialVault & 0037\\ 71 & Synapse & BeyondTheCranialVault & 0038\\ 72 & Synapse & BeyondTheCranialVault & 0039\\ 73 & Synapse & BeyondTheCranialVault & 0040\\ 74 & Synapse & BeyondTheCranialVault & 0061\\ 75 & Synapse & BeyondTheCranialVault & 0062\\ 76 & Synapse & BeyondTheCranialVault & 0063\\ 77 & Synapse & BeyondTheCranialVault & 0064\\ 78 & Synapse & BeyondTheCranialVault & 0065\\ 79 & Synapse & BeyondTheCranialVault & 0066\\ 80 & Synapse & BeyondTheCranialVault & 0067\\ 81 & Synapse & BeyondTheCranialVault & 0068\\ 82 & Synapse & BeyondTheCranialVault & 0069\\ 83 & Synapse & BeyondTheCranialVault & 0070\\ 84 & Synapse & BeyondTheCranialVault & 0074\\ 85 & Synapse & BeyondTheCranialVault & 0075\\ 86 & Synapse & BeyondTheCranialVault & 0076\\ 87 & Synapse & BeyondTheCranialVault & 0077\\ 88 & Synapse & BeyondTheCranialVault & 0078\\ 89 & Synapse & BeyondTheCranialVault & 0079\\ 90 & Synapse & BeyondTheCranialVault & 0080\\ \end{bmatrix}\)</span></p>
Standard Reference Database : ITV-CORE
<p>Decisions demand data, and poor quality data can lead to wrong, inaccurate, or late decisions. The way in which data is collected, stored and shared will reverberate in its quality and accuracy, consequently, reflecting on the ability to understand the aspects they represent. The private sector acting in the environmental area demands objectivity and assertiveness, and that is why it is essential to treat the data that subsidize conservation and restoration actions with exceptional care. To assess the state of biodiversity and environmental impacts, extensive field surveys are often required; for this, independent service providers are hired, who are specialized in obtaining a variety of types of information. Consequently, different collection methods are applied, and almost always methodological and formatting inconsistencies can be found in the resulting data. For the subsequent integration of this data into databases, it will be necessary to extract, adjust and standardize them, generating an entirely new demand, consuming time, human effort and financial resources. In addition, this demand also increases the risk of misinterpretation, typing and digitization errors, which can compromise quality, or even lead to loss of information. The standardization of data used in the survey, inventories, storage and sharing processes is a strategic solution to increase efficiency, reduce costs and risks of information degradation and loss. Furthermore, it brings a number of other benefits, such as the transformation of the analogic field recording system (field notebooks) to an entirely digital format, with the integration of cameras, tablets, dataloggers, and other widely available technologies. When it comes to preparing a recommendation for the standardization of data in a comprehensive and inclusive way, we mapped the biodiversity data frequently used by researchers from the Biodiversity and Ecosystem Services group at The Instituto Tecnológico Vale. Through this mapping, we seek to understand the types of data that already exist, how they have been used, stored and shared in databases, but also their convergence and peculiarities. With the participation of researchers, we seek to develop and validate a preliminary system of terms and metadata, including recommendations for best practices, aiming to improve the use of environmental and biodiversity data. The mapping showed a series of correspondences regarding the types of data used by the BES-ITV group, especially in the data applied in studies of Conservation and Restoration, Landscape Ecology, Genomics and Radio Frequency Identification. But also a great diversity of research topics (Total=29), focusing on six large biological groups, aspects that demonstrate the high multidisciplinary and wide coverage of environmental, ecological, genetic and biodiversity data used by the group. Based on these results, a system of terms and metadata is being developed, as well as the idealization of a modular system for the automatic generation of field digital spreadsheets, in order to simplify data collection through exclusively digital means.</p> <p> </p>
Diagnostic accuracy of a set of clinical and radiological criteria for screening of COVID-19 using RT-PCR as the reference standard - Dataset
<p>Dataset of a cohort whose summary is described below.</p> <p>Abstract</p> <p><strong>Objective:</strong> To evaluate the accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of a set of clinical-radiological criteria for COVID-19 screening in patients with severe acute respiratory failure (SARF) admitted to intensive care units (ICUs), using reverse-transcriptase polymerase chain reaction (RT-PCR) as the reference standard. <strong>Method: </strong>Diagnostic accuracy study including a historical cohort of 1009 patients consecutively admitted to ICUs across six hospitals in Curitiba (Brazil) from March to September, 2020. The sample was stratified into groups by the strength of suspicion for COVID-19 (strong <em>versus</em> weak) using parameters based on three clinical and radiological (chest computed tomography) criteria. The diagnosis of COVID-19 was confirmed by RT-PCR (referent). <strong>Results:</strong> With respect to RT-PCR, the proposed criteria had 98.5% (95% confidence interval [95% CI] 97.5–99.5%) sensitivity, 70% (95% CI 65.8–74.2%) specificity, 85.5% (95% CI 83.4–87.7%) accuracy, PPV of 79.7% (95% CI 76.6–82.7%) and NPV of 97.6% (95% CI 95.9–99.2%). <strong>Conclusion: </strong>The proposed set of clinical-radiological criteria were accurate in identifying patients with strong <em>versus</em> weak suspicion for COVID-19 and had high sensitivity and considerable specificity with respect to RT-PCR. These criteria may be useful for screening COVID-19 in patients presenting with SARF.</p>
Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards</h1> <p>In this community effort, we compared measurements between 34 laboratories from 19 countries, utilizing mixtures of labelled authentic synthetic standards, to quantify by mass spectrometry four clinically used ceramide species in the NIST (National Institute of Standards and Technology) human blood plasma Standard Reference Material (SRM) 1950, as well as new suite of candidate plasma reference materials (RM 8231). Participants either utilized a provided validated method (SOP) and/or their method of choice (OTHER). Mean concentration values, and intra- and inter-laboratory coefficients of variation (CV) were calculated using single-point and multi-point calibrations, respectively.</p> <p>The attached file "ILS-Ceramide-Ring-Trial-Datasets.csv" and the table below map the lab number (LabNum) used in the manuscript in all plots to the originally assigned submission Id (LabId) used in <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial/tree/main/data/original-reports" target="_blank" rel="noopener">the anonymized reports </a>containing the peak areas submitted by each lab for their SOP (Standard) and / or OTHER (Preferred) workflow. The table below provides further information on the separation used (LC), the mass analyzer type (QQQ=Triple Quads and Traps, Orbitrap, TOF) and the associated mass analyzer resolution (LowRes, HighRes), and links each LabNum to the corresponding dataset name and Zenodo DOI, if available. In order to retain the anonymity of all participating labs w.r.t. the submitted datasets, only the converted mzML files are provided in the linked submissions. Please note that labs were free to choose whether they wanted to disclose their MS data or not. Thus, missing datasets indicate that the corresponding lab did not provide their raw / mzML data. </p> <p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="../doi/10.5281/zenodo.10081970" target="_blank" rel="noopener">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. </p> <h2>Ring Trial mzML Datasets</h2> <table> <tbody> <tr> <th>LabNum</th> <th>LabId</th> <th>Protocol</th> <th>LC</th> <th>MassAnalyzerType</th> <th>MassAnalyzerResolution</th> <th>DatasetName</th> <th>DOI</th> </tr> <tr> <td>1</td> <td>02b</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_01_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134264" target="_blank" rel="noopener">10.5281/zenodo.13134264</a></td> </tr> <tr> <td>2</td> <td>3</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_02_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13145059" target="_blank" rel="noopener">10.5281/zenodo.13145059</a></td> </tr> <tr> <td>3</td> <td>4</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_03_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134437" target="_blank" rel="noopener">10.5281/zenodo.13134437</a></td> </tr> <tr> <td>4</td> <td>5</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_04_OTHER</td> <td> </td> </tr> <tr> <td>5</td> <td>7</td> <td>OTHER</td> <td>RP</td> <td>Orbitrap</td> <td>HighRes</td> <td>Lab_05_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134439" target="_blank" rel="noopener">10.5281/zenodo.13134439</a></td> </tr> <tr> <td>6</td> <td>9</td> <td>OTHER</td> <td>FIA</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_06_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134441" target="_blank" rel="noopener">10.5281/zenodo.13134441</a></td> </tr> <tr> <td>7</td> <td>10a</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_07_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134445" target="_blank" rel="noopener">10.5281/zenodo.13134445</a></td> </tr> <tr> <td>7</td> <td>10b</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_07_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134443" target="_blank" rel="noopener">10.5281/zenodo.13134443</a></td> </tr> <tr> <td>8</td> <td>12</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_08_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134447" target="_blank" rel="noopener">10.5281/zenodo.13134447</a></td> </tr> <tr> <td>9</td> <td>13</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_09_OTHER</td> <td> </td> </tr> <tr> <td>10</td> <td>14</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_10_SOP</td> <td> </td> </tr> <tr> <td>11</td> <td>15</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_11_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134449" target="_blank" rel="noopener">10.5281/zenodo.13134449</a></td> </tr> <tr> <td>12</td> <td>16</td> <td>OTHER</td> <td>RP</td> <td>Orbitrap</td> <td>HighRes</td> <td>Lab_12_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134451" target="_blank" rel="noopener">10.5281/zenodo.13134451</a></td> </tr> <tr> <td>13</td> <td>17a</td> <td>OTHER</td> <td>RP</td> <td>TOF</td> <td>HighRes</td> <td>Lab_13_OTHER</td> <td> </td> </tr> <tr> <td>14</td> <td>18a</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_14_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135617" target="_blank" rel="noopener">10.5281/zenodo.13135617</a></td> </tr> <tr> <td>14</td> <td>18b</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_14_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135617" target="_blank" rel="noopener">10.5281/zenodo.13135617</a></td> </tr> <tr> <td>15</td> <td>19</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_15_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135625" target="_blank" rel="noopener">10.5281/zenodo.13135625</a></td> </tr> <tr> <td>16</td> <td>20a</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_16_SOP</td> <td> </td> </tr> <tr> <td>16</td> <td>20b</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_16_OTHER</td> <td> </td> </tr> <tr> <td>17</td> <td>21</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_17_SOP</td> <td> </td> </tr> <tr> <td>18</td> <td>22</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_18_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135627" target="_blank" rel="noopener">10.5281/zenodo.13135627</a></td> </tr> <tr> <td>19</td> <td>23</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_19_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135629" target="_blank" rel="noopener">10.5281/zenodo.13135629</a></td> </tr> <tr> <td>20</td> <td>24</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_20_SOP</td> <td> </td> </tr> <tr> <td>21</td> <td>25</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_21_SOP</td> <td><a href="../doi/10.5281/zenodo.13244007" target="_blank" rel="noopener">10.5281/zenodo.13244007</a></td> </tr> <tr> <td>22</td> <td>26a</td> <td>OTHER</td> <td>FIA</td> <td>Orbitrap</td> <td>HighRes</td> <td>Lab_22_OTHER</td> <td> </td> </tr> <tr> <td>22</td> <td>26b</td> <td>OTHER</td> <td>FIA</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_22_OTHER</td> <td> </td> </tr> <tr> <td>23</td> <td>27</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_23_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135632" target="_blank" rel="noopener">10.5281/zenodo.13135632</a></td> </tr> <tr> <td>24</td> <td>28</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_24_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135634" target="_blank" rel="noopener">10.5281/zenodo.13135634</a></td> </tr> <tr> <td>25</td> <td>29a</td> <td>SOP</td> <td>RP</td> <td>TOF</td> <td>HighRes</td> <td>Lab_25_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13136167" target="_blank" rel="noopener">10.5281/zenodo.13136167</a></td> </tr> <tr> <td>25</td> <td>29b</td> <td>OTHER</td> <td>SFC</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_25_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13135638" target="_blank" rel="noopener">10.5281/zenodo.13135638</a></td> </tr> <tr> <td>26</td> <td>30</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_26_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13136171" target="_blank" rel="noopener">10.5281/zenodo.13136171</a></td> </tr> <tr> <td>27</td> <td>31</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_27_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13136176" target="_blank" rel="noopener">10.5281/zenodo.13136176</a></td> </tr> <tr> <td>28</td> <td>32</td> <td>OTHER</td> <td>RP</td> <td>TOF</td> <td>HighRes</td> <td>Lab_28_OTHER</td> <td> </td> </tr> <tr> <td>29</td> <td>33</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_29_OTHER</td> <td> </td> </tr> <tr> <td>30</td> <td>34</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_30_SOP</td> <td> </td> </tr> <tr> <td>31</td> <td>35</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_31_OTHER</td> <td> </td> </tr> <tr> <td>32</td> <td>36</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_32_SOP</td> <td><a href="../doi/10.5281/zenodo.13166454" target="_blank" rel="noopener">10.5281/zenodo.13166454</a></td> </tr> <tr> <td>33</td> <td>37</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_33_OTHER</td> <td><a href="../doi/10.5281/zenodo.13732469" target="_blank" rel="noopener">10.5281/zenodo.13732469</a></td> </tr> <tr> <td>34</td> <td>38</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_34_SOP</td> <td><a href="../doi/10.5281/zenodo.13324807" target="_blank" rel="noopener">10.5281/zenodo.13324807</a></td> </tr> </tbody> </table>
Standardized reference grids for spatial analyses at various grain sizes
<p><strong>Description:</strong><br> These Reference grids have been created for the <a href="https://naturaconnect.eu/">NaturaConnect project</a> and are based on an intersection of the<a href="https://www.eea.europa.eu/data-and-maps/data/eea-coastline-for-analysis-1/gis-data/europe-coastline-shapefile"> European Coastline delineation</a> and the <a href="https://gadm.org/">GADM database</a>.<br> Thee reference grids have been created in a way so that they are fully consistent with the EEA reference grid (https://www.eea.europa.eu/data-and-maps/data/eea-reference-grids-2), meaning that for example two 5km gridded cells fully match a 10km grid cell in width.</p> <p><strong>Filestructure:</strong><br> ReferenceGrid_Europe_{format}_{grain}</p> <ul> <li> format is either "frac" for fractional data (which has been multiplied with 10000 to save in integer format) or binary (0,1).</li> <li> grain is provided as layers in 100m, 1000m, 5000m, 10000m, 50000m spatial resolution. Alternative aggregations can be provided on request.</li> </ul> <p><strong>File format:</strong><br> The layers are gridded geoTiff files and can be loaded in any conventional Graphical Information System (GIS) or specific analytical programming languages (e.g. R or python). In addition external pyramids (.tfw) have been precreated to enable faster rendering.</p> <p><strong>Geographic projection:</strong><br> We use the <a href="https://epsg.io/3035">Lamberts-Equal-Area Projection</a> by default for all layers in NaturaConnect. This is an equal-area (but distorted shape) projection and commonly used by European institution with a focus on the European continent. For global layers the <a href="https://epsg.io/54009">equal-area World Mollweide projection</a> is used.<br> <br> <strong>Sourcecode:</strong><br> The code to reproduce the layers has been made available in the "code" file.<br> </p>
Dataset for comparison of QuantumPower method to the reference power standard
<p>Dataset for comparison of QuantumPower method to the power standard Radian RD-22.</p> <p>The QuantumPower method was compared to a power standard Radian RD-22. As a device under test, a Fluke 6100 power calibrator was used.</p> <p>To obtain the data, QPSW software was used:</p> <p>https://github.com/KaeroDot/QPsw</p> <p>Author: Martin Šíra</p> <p>Contact: Czech Metrology Institute, Okružní 31, 638 00 Brno, msira@cmi.cz</p> <p>Part of project Quantum traceability for AC power standards, QuantumPower, Project Number: 19RPT01.<em> </em>This project (19RPT01) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.</p> <p>https://www.euramet.org/research-innovation/search-research-projects/details/project/quantum-traceability-for-ac-power-standards/</p>
Text-fig. 3. Litho- and biostratigraphic position of fossil floras treated herein, based on lithostratigraphic standard section of upper Oligocene and Miocene in central and eastern Germany (Standke et al. 2010, Escher et al. 2020); only exception from standard section: ** – Thierbach Member restricted to central Germany, replaces Branitz Member in eastern Germany; correlated to global scale of International Chronostratigraphic Chart 2022/02 (Cohen et al. 2013); maximum age ranges of sites/floras indicated by black bars; floristic complexes according to definitions by Mai and Walther 1991 for upper Oligocene, Mai 2000b, 2001b for Miocene; age range of MCO from Steinthorsdottir et al. 2021. in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 3. Litho- and biostratigraphic position of fossil floras treated herein, based on lithostratigraphic standard section of upper Oligocene and Miocene in central and eastern Germany (Standke et al. 2010, Escher et al. 2020); only exception from standard section: ** – Thierbach Member restricted to central Germany, replaces Branitz Member in eastern Germany; correlated to global scale of International Chronostratigraphic Chart 2022/02 (Cohen et al. 2013); maximum age ranges of sites/floras indicated by black bars; floristic complexes according to definitions by Mai and Walther 1991 for upper Oligocene, Mai 2000b, 2001b for Miocene; age range of MCO from Steinthorsdottir et al. 2021.
Lab_28_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_28_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_27_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_27_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_25_OTHER - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_25_OTHER - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_23_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_23_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_19_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_19_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_18_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_18_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_24_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_24_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_14_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_14_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_13_OTHER_pos - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_13_OTHER_pos - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_12_OTHER - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_12_OTHER - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_07_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_07_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
Lab_08_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Lab_08_SOP - Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards - mzML files</h1><p>This dataset is part of the <a href="https://doi.org/10.5281/zenodo.12632989" target="_blank">ILS Ceramide Ring Trial</a>. The suffix 'SOP' indicates that the results were obtained using the recommended and standard operating procedure protocol to prepare and measure all samples, while the suffix 'OTHER' indicates that the corresponding lab prepared and measured the samples according to their own internal protocol. Please check the corresponding mapping file 'ILS-Ceramide-Ring-Trial-Datasets.csv' in the ILS Ceramide Ring Trial record for a mapping of the originally submitted lab reports and the final lab number as reported in the manuscript.</p><p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial" target="_blank">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. The archived version of the lab reports, workflow source code and manuscript visualizations are also available <a href="https://zenodo.org/doi/10.5281/zenodo.10081970" target="_blank">here</a>.</p><p>Please note that most datasets have been acquired in MRM mode, such that the msconvert conversion to mzML has stored the MRM data in the chromatogram part of the mzML files.</p> <p>The msconvert Docker container (Proteowizard release: 3.0.24172 (63d00b1), build date Jun 202 2024 20:01:14) was used with the native vendor libraries / peak picking for conversion, using default arguments. m/z values were encoded with 64 bit (default), while intensity values were encoded with 32 bit (default). All binary data was zlib-compressed.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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.
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.
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.
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.