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117 results for “voc”
VOC_OHP_Canopee2014_10m
<p>Volatile Organic Compounds concentrations in unit ppb measured with a Proton Transfer Reaction Mass Spectrometer (quadrupole MS, Ionicon Analytik, Austria) at the site Observatoire de Haute Provence, a Mediterranean Forest dominated by Downy Oak trees. Data were collected at 10 m height (above the canopy height), background subtracted. Time resolution is 5 min. Time is local (CEST, UTC+2h). Missing values are due to switching conditions between different measurement heights. </p> <p>See the manuscript Zannoni et al., 2016 for details about the identification of the chemical compounds from the masses analysis.</p>
VOC_OHP_Canopee2014_2m
<p>Volatile Organic Compounds concentrations in unit ppb measured with a Proton Transfer Reaction Mass Spectrometer (quadrupole MS, Ionicon Analytik, Austria) at the site Observatoire de Haute Provence, a Mediterranean Forest dominated by Downy Oak trees. Data were collected at 2 m height (inside the canopy), background subtracted. Time resolution is 5 min. Time is local (CEST, UTC+2h). Missing values are due to switching conditions between different measurement heights. </p> <p>See the manuscript Zannoni et al., 2016 for details about the identification of the chemical compounds from the masses analysis. </p>
Data from: Reproducibility of the Quantification of Reversible Wall Interactions in VOC Sampling Lines
<p>Dataset from the following publication (<a href="https://doi.org/10.3390/atmos12020280">https://doi.org/10.3390/atmos12020280</a>). In the paper, a method to quantify the amount of substance segregated by reversible interactions on sampling lines is proposed. The areic amount of a VOC (Acetone) interacting with the pipe is measured for a commercial test pipe (Sulfinert®) as the amount of substance per unit area of the internal surface of the test pipe segregated from the flowing gas mixture. The areic amount is function of numerical integrals estimated under different conditions and reproducibility is evaluated. The data used to estimate the integrals described in this work is organised in folders. Each folder correspond to a sample. Sample information is available on Table 3 of the paper.</p>
ΔvapHm-VOC: Standard Molar Vaporization Enthalpy Database for Machine Learning Prediction Models
<p>We present the full database of the article "Data-Driven, Explainable Machine Learning Model for Predicting Volatile Organic Compounds’ Standard Vaporization Enthalpy".</p> <p>This is the database used for data driven, explainable supervised ML model to predict Δ<sub>vap</sub><em>H</em><sub>m</sub>° of VOCs. The model was built on an established experimental database of 2410 unique molecules and 223 VOCs categorized by chemical groups. Using supervised ML regression algorithms, the Random Forest successfully predicted VOCs’ Δ<sub>vap</sub><em>H</em><sub>m</sub>° with a mean absolute error of 3.02 kJ mol<sup>-1</sup> and a 94% test score. The model was successfully validated through the prediction of Δ<sub>vap</sub><em>H</em><sub>m</sub>° for a known database of VOCs and through molecular group hold-out tests.</p> <div> <div> <div> <div> <p>The model's database was built with a variety of molecules from diverse chemical families with known experimental Δ<sub>vap</sub><em>H</em><sub>m</sub>° values. Entries were collected from <a href="https://doi.org/10.1063/1.3309507" target="_blank" rel="noopener">Acree and Chickos’ 2010 compilation</a>, curated by <a href="https://doi.org/10.1016/j.fluid.2013.09.021" target="_blank" rel="noopener">Gharagheizi (2013)</a>, with experimental vaporization enthalpy at the standard temperature of 298.15 K. This database was selected as it is an open-access repository, generally presenting experimental values with low uncertainties and corrected for the real-to-ideal behavior of the gas phase. We introduced a routine to convert and present each chemical entry into a SMILES string, along with chemical family categorization. For VOCs, we built a specific database of compounds documented in a VOC regulatory environmental guideline (<a href="https://www.s-t-a.org/Files%20Public%20Area/Documents/The%20Categorisation%20of%20Volatile%20Organic%20Compounds%20HMIP%20(1996).pdf">Marlowe <em>et al</em>., 1995</a>), and we used our web-scrapping routine to gather experimental Δ<sub>vap</sub><em>H</em><sub>m</sub>° values. The external dataset for validation studies was also collected from <a href="https://doi.org/10.1016/j.fluid.2013.09.021" target="_blank" rel="noopener">Gharagheizi (2013)</a>.</p> <p>Along with Δ<sub>vap</sub><em>H</em><sub>m</sub>° experimental values, each molecule is represented by its CAS number, SMILES string and InChlKey. We generated 106 chemical descriptors for every molecule in the database, using <a href="http://http//www.rdkit.org/">RDKit</a> software version 2022.09.4, running on top of Python 3.9. Descriptors were calculated from the “MolFromSmiles” function in “RDKIT.Chem” as descriptors with non-numerical values were removed. The descriptors encode significant chemical information and are used to present physicochemical characteristics of compounds, building a relationship between structure and Δ<sub>vap</sub><em>H</em><sub>m</sub>°.</p> </div> </div> </div> </div> <p>Through chemical feature importance analysis, the explainable model revealed that VOC polarizability, connectivity indexes and electrotopological state are key for the model’s prediction accuracy. We thus present a replicable and explainable model, which can be further expanded towards the prediction of other thermodynamic properties of VOCs.</p>
Fire INventory from NCAR (FINN) v2.5(MODIS), MOZART VOC speciation
<p>The Fire INventory from NCAR (FINN) provides daily global fire emissions at high spatial resolution. The FINN model uses satellite detection of active fires (thermal anomalies) and the land cover type to determine the emission estimates. These emission estimates are based on MODIS active fire detection. Other versions of FINNv2.5 use MODIS+VIIRS fire detections. Please find additional VOC speciations and gridded emissions files at: https://doi.org//10.5065/XNPA-AF09</p>
Vocoder VOC 490 for Elcrovox 1-0 (Inv. 2020-389)
<p>This dataset represents the computed tomography image acquisition of a historical cipher machine from the collection of the Deutsches Museum. It is composed of CT reconstructed image stacks in the DICOM (.dcm) format.<br> It can be imported in any free or propietary CT-Viewer that supports the DICOM standard to generated 2D and 3D imaging.<br> If segmentations/ROIs are availabe, they are uploaded in a seperate image stacks and are a subset of the scanned cipher machine.</p> <p>object details:<br> name: Vocoder VOC 490 for Elcrovox 1-0<br> Inv.-No. of the Deutsches Museum: 2020-389</p> <p>file object details:<br> file format: image/dcm<br> pixel spacing unit: mm<br> X pixel spacing: 0.670<br> Y pixel spacing: 0.670<br> Z pixel spacing: 0.600<br> grid size x: 679<br> grid size y: 486<br> grid size z: 1063<br> color depth: 16Bit</p> <p>ownership & image acquisition:<br> project: <a href="https://digital.deutsches-museum.de/en/projects/3d-cipher">3D-Cipher</a><br> collection: <a href="https://digital.deutsches-museum.de">Deutsches Museum</a><br> IP holder: Deutsches Museum<br> license: <a href="https://creativecommons.org/licenses/by/4.0/deed.en">Creative Commons BY-SA 4.0</a><br> scanning facility: <a href="https://www.iis.fraunhofer.de/en/ff/zfp.html">Fraunhofer Development Center X-ray Technology EZRT/Fraunhofer IIS</a><br> scanning device: High Energy CT XXL-CT<br> Funding attribution: <a href="https://www.bmbf.de/bmbf/en">German Federal Ministry of Education and Research</a><br> acknowledgement: <a href="https://www.cryptomuseum.com">CryptoMuseum</a> (as main source for informations about the cipher machines)</p>
Dataset for 'Atmospheric VOC measurements at a High Arctic site: characteristics and source apportionment'
<p>This dataset includes the VOCs (and expanded uncertainties) as well as VOCs (and expanded uncertainties) used in the PMF model as described in 'Pernov, J. B., Bossi, R., Lebourgeois, T., Nøjgaard, J. K., Holzinger, R., Hjorth, J. L., and Skov, H.: Atmospheric VOC measurements at a High Arctic site: characteristics and source apportionment, Atmos. Chem. Phys. Discuss., 2020, 1-36, 10.5194/acp-2020-528, 2020.' </p>
6000 ground truth of VOC and notarial deeds 3.000.000 HTR of VOC, WIC and notarial deeds
<p>The National Archives of the Netherlands and Noord-Hollands Archief conducted a project using the Transkribus HTR (Handwritten Text Recognition) platform. The aim was to semi automatically transcribe 2 million pages of old Dutch texts.</p> <p>The transcribed archives are 17<sup>th</sup> and 18<sup>th</sup> century documents from the Dutch East-India Company (VOC). And 19th century notarial deeds from Noord-Hollands Archief and other archives in the provinces.</p> <p>In order to train the HTR software a team produced transcriptions of approximately 6000 scans. The scans are randomly selected from the dataset. With the transcriptions a model is trained that can recognize more than 90% of the characters correctly. Transkribus transcribed the 2 million scans automatically using the trained model.</p> <p>The following Transkribus HTR+ model has been trained for the text recognition: "IJsberg". More information about the model can be found <a href="https://readcoop.eu/transkribus/public-models/">here</a>. See the chapter "Dutch Handwriting". However, the Transkribus team retrained the model with <a href="https://readcoop.eu/transkribus/howto/how-to-train-pylaia-models-in-transkribus/">PyLaia</a> technology, which improved the HTR+ model. This PyLaia model is not publicly available.</p> <p>Later on, 1 million extra scans concerning the West India Company (WIC) were transcribed automatically without adding extra ground truth or training. These archives are from the 17<sup>th</sup> and 18<sup>th</sup> century.</p> <p>The <a href="https://github.com/knaw-huc/loghi">Loghi Handwritten Text Recognition Toolkit</a> has been added to the arsenal of the Nation Archives of the Netherlands. 1.05.11.14, Notarissen Suriname tot 1828 [digitaal duplicaat] has been processed with this tooling.</p> <p>The datasets published in Zenodo contain the ground truth (scans in JPG, transcription in PAGE XML) and the HTR results (in PAGE XML and TXT). See the overview below. Scroll to the bottom of the page to download the actual files.</p> <p>For more information on how the Dutch National Archive innovate on digital accessibility click <a href="https://www.nationaalarchief.nl/over-het-na/datalab-nationaal-archief">here</a>.</p> <p>For open data access of scans and inventories of the National Archives click <a href="https://www.nationaalarchief.nl/onderzoeken/open-data/open-data-archiefinventarissen-en-scans-van-archieven">here</a>.</p> <p><strong>Disclaimer</strong>: due to a variety of languages used and the bad state of the documents the HTR results of "1.05.21, Dutch series Guyana" can be of poor quality.</p> <p>--------------------------------------------------------------</p> <p><strong>Dataset HTR </strong><br>(Dataset, name archive, number archive, inventory numbers, link to inventory)<br><br><strong>The National Archives of the Netherlands</strong><br>HTR results VOC, VOC, 1.04.02, 7527-9540, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory">EAD</a><br>HTR results 1.04.02, Oost-Indische Testamenten, 1.04.02, 6847-6897, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory">EAD</a> <br>HTR results 1.05.01.01, Oude WIC, 1.05.01.01, 1-87, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.01.01/invnr/%40A..?query=1.05.01.01&search-type=inventory">EAD</a><br>HTR results 1.05.01.02, Tweede WIC, 1.05.01.02, 1-1382, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.01.02/invnr/%40VII~1324C2?query=1.05.01.01&search-type=inventory">EAD</a> <br>HTR results 1.05.02, Raad der Koloniën, 1.05.02, 1-192, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.02/invnr/%40A?query=1.05.02&search-type=inventory">EAD</a><br>HTR results 1.05.03, Sociëteit van Suriname, 1.05.03, 1-566, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.03/invnr/%40A?query=1.05.03&search-type=inventory">EAD</a><br>HTR results 1.05.05, Sociëteit van Berbice, 1.05.05, 1-445, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.05/invnr/%40I?query=1.05.05&search-type=inventory">EAD</a><br>HTR results 1.05.06, Verspreide West-Indische stukken, 1.05.06, 1-1413, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.06/invnr/%401?query=1.05.06&search-type=inventory">EAD</a><br>HTR results 1.05.21, Dutch series Guyana, 1.05.21, AB.1.1-BB.7.1, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.21/invnr/%401.?query=1.05.21&search-type=inventory">EAD</a><br>HTR results 2.01.28.01, West-Indisch comité, 2.01.28.01, 1-254, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/2.01.28.01/invnr/%40I?query=2.01.28.01&search-type=inventory">EAD</a><br>HTR results 2.01.28.02, Raad der Amerikaanse Bezittingen, 2.01.28.02, 1-264, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/2.01.28.02/invnr/%40I.?query=2.01.28.02&search-type=inventory">EAD</a><br>HTR results 1.05.11.14, Notarissen Suriname tot 1828 [digitaal duplicaat], <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.05.11.14/invnr/%401?query=1.05.11.14&search-type=inventory&start=0&searchAfter=1%2C%401">EAD</a><br>HTR results 2.10.02, Koloniën, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/2.10.02/invnr/%40A.?query=2.10.02&search-type=inventory&start=0&searchAfter=1%2C%40A.">EAD</a> (indices only)</p> <p><strong>Noord-Hollands archief</strong><br>HTR results NHA Notarial 1617, Oud notarieel archief Haarlem, 1617,1593-1805, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1617&milang=nl&miview=inv2">EAD</a><br>HTR results NHA Notarial 1972, Nieuw notarieel archief Haarlem, 1972, 5-813, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1972&milang=nl&miview=inv2">EAD</a></p> <p><strong>Brabants Historisch Informatie Centrum</strong><br>HTR results BHIC 7048 , Notarissen in Boxmeer, 1814-1935, 7048, 1-103, 162, <a href="https://proxy.archieven.nl/235/7203CD0B57624FD0B60EC6330DC7C083">EAD</a><br>HTR results BHIC 7128 , Notarissen in Grave, 1648-1935, 7128, 140-266, <a href="https://proxy.archieven.nl/235/73F9057F3EA34930829D1B55A9806B4D">EAD</a><br>HTR results BHIC 7637 , Notarissen in Sint-Oedenrode, 1642-1935, 7637, 17-78A, <a href="https://proxy.archieven.nl/235/4EBF145BB30A4CB3996DDD968914BAEE">EAD</a></p> <p><strong>Gelders Archief</strong><br>HTR results GA 0168, Notariële Archieven 1811-1925, 168, 64-69, 943-960, 1366-1395, 2472-2501, 3481-3485, 3904-3926, <a href="https://permalink.geldersarchief.nl/7A6A6A052F8A45EAAB6C7D4ECCA4041A">EAD</a></p> <p><strong>Groninger Archieven</strong><br>HTR results GRA 85, Notarissen te Appingedam (standplaats 1), 1811-1935, 85, 2-157, <a href="https://hdl.handle.net/21.12105/23FF3576C5AD4A97A847C6FB6E55323A">EAD</a><br>HTR results GRA 86, Notarissen te Appingedam (standplaats 2), 1812-1922, 86, 2-71, <a href="https://hdl.handle.net/21.12105/5C702F8661C6438EBC02025A9FC48446">EAD</a></p> <p><strong>Historisch Centrum Overijssel</strong><br>HTR results HCO 0122, Notarissen in Overijssel, 122, 5-48, 2044-2073, 3019-3047, 3733-3775, <a href="https://historischcentrumoverijssel.nl/archieven/?mivast=20&mizig=210&miadt=141&micode=0122&miview=inv2">EAD</a></p> <p><strong>The Utrecht Archives</strong><br>HTR results HUA 34-1, Notarissen in de provincie Utrecht, 1617-1895, 34-1, 928-930, 2209-2330, <a href="https://hetutrechtsarchief.nl/collectie/609C5BB45AB14642E0534701000A17FD">EAD</a></p> <p><strong>Regionaal Historisch Centrum Limburg</strong><br>HTR results RHCL 09.009, Notarissen in de Arrondissementen Maastricht en Roermond, 1896-1905, 09.009, 9147-9279, <a href="http://www.archieven.nl/mi/1540/?mivast=1540&mizig=210&miadt=38&micode=09.009&miview=inv2">EAD</a></p> <p><strong>Tresoar</strong><br>HTR results Tresoar 26, Notarieel archief, 26, 1001-9028 (met hiaten), <a href="https://www.archieven.nl/nl/zoeken?mivast=0&mizig=210&miadt=36&micode=26&miview=inv2">EAD</a></p> <p><strong>Zeeuws Archief</strong><br>HTR results ZA 13.2, Notariële Archieven Zeeland 1906-1915, (1886) 1906-1915 (1925), 13.2, 1152-1163, 1261-1320, <a href="https://hdl.handle.net/21.12113/DA16099B241C49C8843B404710612498">EAD</a></p> <p><strong>Drents Archief</strong><br>HTR results DA 114.10, Notaris jhr.mr. J.A.G.van der Wijck te Assen, 114.10, 4-7, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.10&miview=inv2">EAD</a><br>HTR results DA 114.11, Notaris mr. D.A.M.de Fremery te Assen, 114.11, 1, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.11&miview=inv2">EAD</a><br>HTR results DA 114.18, Notaris mr. Warmolt van Roijen te Borger, 114.18, 2-7, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.18&miview=inv2">EAD</a><br>HTR results DA 114.19, Notaris mr. Ernst Sigismund. Cornets de Groot te Borger, 114.29, 2-8, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.19&miview=inv2">EAD</a><br>HTR results DA 114.22, Notaris mr. Albertus Slingenberg te Coevorden, 114.22, 1-24, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.22&miview=inv2">EAD</a><br>HTR results DA 114.23, Notaris mr. Gozewienus Weys te Coevorden, 114.23, 4-13, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.23&miview=inv2">EAD</a><br>HTR results DA 114.28, Notaris mr. Johannes Beckeringh van Loenen te Dwingeloo, 114.29, 7-13, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.28&miview=inv2">EAD</a><br>HTR results DA 114.39, Notaris mr. Gerrit ten Raa ten Gieten, 114.39, 6-14, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.39&miview=inv2">EAD</a><br>HTR results DA 114.45, Notaris mr. Hendrik Jan Carsten te Hoogeveen, 114.45, 17-36, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.45&miview=inv2">EAD</a><br>HTR results DA 114.54, Notaris mr. Warmold Lunsingh Tonckens te Meppel, 114.54, 18-26, <a href="http://www.drentsarchief.nl/onderzoeken/archiefstukken?mivast=34&mizig=210&miadt=34&micode=0114.54&miview=inv2">EAD</a></p> <p> </p> <p><strong>Dataset Ground Truth</strong><br>(Name archive, number archive, inventory numbers, link to inventory, type of dataset)</p> <p>Dataset: Notarial deeds Ground Truths of the trainingset</p> <ul> <li>Oud notarieel archief Haarlem, 1617, 495 random scans from 1593-1805, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1617&milang=nl&miview=inv2">EAD</a>, GT Transcriptions</li> <li>Nieuw notarieel archief Haarlem, 1972, 952 random scans from 5-813, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1972&milang=nl&miview=inv2">EAD</a>, GT Transcriptions</li> <li>(And 168 transcripties from 7 other archives.)</li> </ul> <p>Dataset: Notarial deeds Images of the trainingset,</p> <ul> <li>Nieuw notarieel archief Haarlem, 1972, 952 random scans from 5-813, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1972&milang=nl&miview=inv2">EAD</a>, GT Scans</li> <li>Oud notarieel archief Haarlem, 1617, 495 random scans from 1593-1805, <a href="https://noord-hollandsarchief.nl/bronnen/archieven?mivast=236&mizig=210&miadt=236&micode=1617&milang=nl&miview=inv2">EAD</a>, GT Scans</li> <li>(And 168 scans from 7 other archives.)</li> </ul> <p><br>Dataset: VOC Ground Truths of the trainingset,<br>VOC, 1.04.02, 4735 random scans from 7527-9540, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory">EAD</a>, GT Transcriptions</p> <p><br>Dataset: VOC Images of the trainingset,<br>VOC, 1.04.02, 4735 random scans from 7527-9540, <a href="https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory">EAD</a>, GT Scans</p> <p>--------------------------------------------------------------</p> <p>Version 3.0: The first HTR results from the VOC-collection are available in .txt format, Inventory numbers 7527-9540.</p> <p>Version 3.1: The HTR results from the VOC-collection are also available in PAGE xml format. </p> <p>Version 4.0: About 30 missing inventory numbers have been added to the VOC transcriptions. The HTR results of the Notarial Deeds from the NHA archives have been added. An example on full text searchable research can be found here (Dutch): <a href="https://kia.pleio.nl/groups/view/55812425/htr-en-ocr/blog/view/55814752/reconstructie-van-een-verijdelde-slavenopstand-met-behulp-van-automatische-handschriftherkenning-en-text-mining">https://kia.pleio.nl/groups/view/55812425/htr-en-ocr/blog/view/55814752/reconstructie-van-een-verijdelde-slavenopstand-met-behulp-van-automatische-handschriftherkenning-en-text-mining</a></p> <p>Version 5.0: Around a million pages of HTR results of the following archives have been added.</p> <p>Version 6.0: The HTR results of Oost-Indische Testamenten have been added. </p> <p>Version 7.0: The HTR results of the Brabants Historisch Informatie Centrum, Gelders Archief, Groninger Archieven, Historisch Centrum Overijssel, The Utrecht Archives, Regionaal Historisch Centrum Limburg, Tresoar, Zeeuws Archief and Drents Archief have been added.</p> <p>Version 7.1: A spreadsheet "ijsberg train-val.xlsx" has been added. The division of the training- and validationset of Ground Truth of the IJsberg model can be found here</p> <p>Version 8.0: HTR results of 1.05.11.14 have been added. The scans have been inferenced with Loghi.</p> <p>Version 8.1: HTR results of 2.10.02 indices have been added. The scans have been inferenced with Loghi.</p>
Characteristic mutations of SARS VOC
<p>This is a database consisting the list of characteristic mutations of the SARS-CoV-2 variants of Concern (VOC) circulating in Germany during September 2021 and March 2022. This database is created by calling all the mutations listed in the Variant surveillance package of the GISAID for each variant. Second step is to count the frequency of a mutation reported for a variant in GISAID clinical data. And, only top 50 mutations for each variants are retained in this database. </p>
Transcription of pp. 425-477 from the probate inventory of the house of Pieter de Graeff (1638-1707), Lord of Zuid-Polsbroek, Purmerland and Ilpendam, and VOC director in the Amsterdam chamber, at Herengracht 573
<p>Transcription of pp. 425-477 from the probate inventory of the house of Pieter de Graeff (1638-1707), Lord of Zuid-Polsbroek, Purmerland and Ilpendam, and VOC director in the Amsterdam chamber, at Herengracht 573 (Amsterdam City Archives, Inventaris van het Archief van de Notarissen ter Standplaats Amsterdam (nr. 5075), inv. nr. 5001, pp. 425-477, notary Michiel Servaes (nr. 199), 8 March 1709). The transcription was made as part of the NWO-funded Virtual Interiors project (2018-2022; https://www.virtualinteriorsproject.nl/).</p>
Pharmacokinetics and Pharmacodynamics Study of SEG101 (Crizanlizumab) in Sickle Cell Disease (SCD) Patients With Vaso- Occlusive Crisis (VOC)
ClinicalTrials.gov study NCT03264989. IPD Sharing: YES. Countries: 1. Publications: 3.
References to Earthquakes in VOC Archives
<p>This csv-file contains references to 172 earthquakes or similar events in the VOC-archives dating from 1674 to 1786. These events mostly occured in the former Dutch East Indies. The data is gathered from automatic transcriptions (Transkribus platform) from the scans of the VOC archives: https://www.nationaalarchief.nl/onderzoeken/archief/1.04.02/invnr/%40Deel%20I?query=1.04.02&search-type=inventory</p> <p>The csv file has the following columns:</p> <ul> <li>File name of online scan</li> <li>Year</li> <li>Date</li> <li>location</li> <li>Damage</li> <li>Additional information</li> </ul> <p> </p> <p> </p>
VOC analysis data set for polyfilament analysis of antibacterial PE, PA and PLA fibre samples with natural additive rosin and silver
<p>This data is a detail report related to the VOC measurements described and analyzed in the work<br> Weathering and safety of antibacterial polymer-rosin polyfilaments. The detailed description of the<br> method, samples preparations and main outcomes are given in the work. Here, Tables 1-7 indicate the<br> average and (range) concentration of emitted compounds from each polyfilament fibre sample analyzed<br> at different temperatures for their VOC emissions.</p>
VOC chromatogram data set for polyfilament analysis of antibacterial polyfilament fibre samples with natural additive rosin and silver
<p>This data is a detail report related to the VOC measurements described and analyzed in the paper Weathering of antibacterial melt-spun polyfilaments modified by pine rosin. The detailed description of the method, sample codes, samples preparations and main outcomes are given in the manuscript. Figures (1-7) are the direct graphs from the device software as ‘chromatograms’ (TIC, total ion chromatograms) for each polyfilament fibre sample analyzed at different temperatures. The graphs indicate the measured (computed) ion count (abundance, arbitrary units) as a function of time (minutes).</p> <p> </p>
HERIDAL dataset in keras-retinanet PASCAL VOC format
<p>Modified version of <a href="http://ipsar.fesb.unist.hr/HERIDAL%20database.html">the HERIDAL dataset</a> used to train and test <a href="https://github.com/Accenture/AIR">the AIR detector</a>.</p>
CrIS VOC LBLRTM Database
<p>MUSES trace gas climatology and CAMEL surface emissivity for the <a href="https://github.com/pernak18/CrIS-VOC-LBL">CrIS VOC LBLRTM</a> project. For further direction please see the GitHub <a href="https://github.com/pernak18/CrIS-VOC-LBL#readme">README</a></p> <p>v0.1 was condensed more by Karen Cady-Pereira</p>
VOC ship Cannon
A weathered cannon from the golden age of sailing. This type of cannon was used aboard the spiegelretourschip ships of the VOC (Dutch Eastern Indian Shipping Companny). Source: Objaverse 1.0 / Sketchfab
Technical note: Interferences of volatile organic compounds (VOC) on methane concentration measurements - Raw Data
<p>Technical note: Interferences of volatile organic compounds (VOC) on methane concentration measurements - Raw Data</p>
Concentrations of VOCs for Rongchang campaign
<p>The file contains the concentrations (ppb) of VOCs measured by a PTR-ToF-MS. The interval of the campaign was from 4 September to 7 October 2020,and 1 to 24 February 2021. </p>
Long-term variations of ambient volatile organic compounds (VOCs) from 2016 to 2020 in Beijing, China
<p>Ambient volatile organic compounds (VOCs) are crucial precursors for the formation of secondary organic aerosol (SOA) and ozone (O<sub>3</sub>). We have conducted in-situ observations and compiled a comprehensive dataset of ambient volatile organic compound (VOC) compositions and concentrations in Beijing, China, spanning the period from 2016 to 2020. The dataset covers a wide range of VOC species including 29 alkanes, 11 alkenes, 1 alkyne, 16 aromatics, 28 halohydrocarbons, 13 oxygenated VOCs (OVOCs), and 1 nitrogenous VOC (acetonitrile). The presentation and analysis of this dataset is available in a paper submitted to Earth System Science Data (Simon et al, in prep). The findings and analysis of this dataset have been documented in a paper that has been submitted to Earth System Science Data (Liu et al., in prep).</p> <p>If you use the dataset for related scientific research, please cite the corresponding reference:</p> <p> Liu et al (in prep); Long-term variations of ambient volatile organic compounds (VOCs) from 2016 to 2020 in Beijing, China; Earth System Science Data.</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.