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3,206 results for “property (T)”
TransProteus, Predicting 3D shapes, masks, and properties of materials, liquids, and objects inside transparent containers from images
<p>We present TransProteus, a dataset, for predicting the 3D structure and properties of materials, liquids, and objects inside transparent vessels from a single image without prior knowledge of the image source and camera parameters. Manipulating materials in transparent containers is essential in many fields and depends heavily on vision. This work supplies a new procedurally generated dataset consisting of 50k images of liquids and solid objects inside transparent containers. The image annotations include 3D models and material properties (color/transparency/roughness...) for the vessel and its content. The synthetic (CGI) part of the dataset was procedurally generated using 13k different objects, 500 different environments (HDRI), and 1450 material textures (PBR) combined with simulated liquids and procedurally generated vessels. In addition, we supply 104 real-world images of objects inside transparent vessels with depth maps of both the vessel and its content.</p> <p>Note that there are two files here:</p> <p><a href="https://zenodo.org/api/files/12b013ca-36be-4156-afd4-c93b5fa22093/Tansproteus_SimulatedLiquids2_New_No_Shift.7z">Transproteus_SimulatedLiquids2_New_No_Shift.7z</a></p> <p>and</p> <p><br> <a href="https://zenodo.org/api/files/2b833de0-4007-4682-ad5b-5e08bd63597e/TranProteus2.7z?versionId=f16e7126-8750-41f7-99e6-d35ca60399cc">TranProteus2.7z </a>, contain subset of the virtual CGI data set.</p> <p>https://zenodo.org/api/files/12b013ca-36be-4156-afd4-c93b5fa22093/Tansproteus_SimulatedLiquids2_New_No_Shift.7z</p> <p><a href="https://zenodo.org/api/files/2b833de0-4007-4682-ad5b-5e08bd63597e/TransProteus_RealSense_RealPhotos.7z">TransProteus_RealSense_RealPhotos.7z </a>: Contain real-world photos scanned with real sense with depth map of both the vessel and its content</p> <p>See ReadMe file in side the downloaded files for more details</p> <p>The full dataset (>100gb) can be found here:</p> <p><a href="https://e.pcloud.link/publink/show?code=kZfx55Zx1GOrl4aUwXDrifAHUPSt7QUAIfV">https://e.pcloud.link/publink/show?code=kZfx55Zx1GOrl4aUwXDrifAHUPSt7QUAIfV</a></p> <p>https://<a href="http://icedrive.net/1/6cZbP5dkNG">icedrive.net/1/6cZbP5dkNG</a></p> <p>See: <a href="https://arxiv.org/pdf/2109.07577.pdf"> https://arxiv.org/pdf/2109.07577.pdf</a> for more details</p> <p><strong><a href="https://zenodo.org/record/4736111#.YVOAx3tE1H4">**This dataset is complementary to LabPics dataset with 8k real images of materials in vessels in chemistry labs, medical labs, and other settings. The LabPics dataset can be downloaded from here:</a></strong></p> <p><strong><a href="https://zenodo.org/record/4736111#.YVOAx3tE1H4">https://zenodo.org/record/4736111#.YVOAx3tE1H4</a></strong></p> <p> </p> <p><strong>************************************************************************************</strong></p> <p><a href="https://zenodo.org/api/files/12b013ca-36be-4156-afd4-c93b5fa22093/Tansproteus_SimulatedLiquids2_New_No_Shift.7z">Transproteus_SimulatedLiquids2_New_No_Shift.7z </a>and <a href="https://zenodo.org/api/files/2b833de0-4007-4682-ad5b-5e08bd63597e/TranProteus2.7z?versionId=f16e7126-8750-41f7-99e6-d35ca60399cc">TranProteus2.7z</a></p> <p>The two folders contain relatively similar data styles.<br> The data in No_Shift contain images that were generated with no camera shift in the camera paramters. If you try to predict 3d model from an image as a depth map, this is easier to use (Otherwise, you need to adapt the image using the shift). For all other purposes, both folders are the same, and you can use either or both. In addition, a real image dataset for testing is given in the RealSense file.</p> <p> </p> <p> </p> <p> </p>
Dataset for "Difference of photometric properties between regular and non-regular Miras in the Magellanic Clouds"
<p><strong>Summary: </strong>This deposit supplements the manuscript, "<em>Difference of photometric properties between regular and non-regular Miras in the Magellanic Clouds</em>", accepted to the Astronomical Journal (17 February 2022).</p> <p><strong>Description of contents: </strong>This repository contains the numerical values for all of the features for the data (including the training set) and classification results. The specific files included in this deposit are as follows:<br> <br> ReadMe.txt This Readme file.<br> Feature_table_with_training_data.txt Feature Table with training data<br> Feature_table_with_classify_data.txt Feature table with classify data<br> Classify_result_table.txt Mira Regular/Non-regular <br> machine-learning classification</p> <p><strong>System requirements:</strong> The files are formatted according to the machine readable format used by the AAS Journals and CDS/VizieR. Specific information on the structure of MRT files can be found at:</p> <p> AAS: <a href="https://journals.aas.org/mrt-overview/">https://journals.aas.org/mrt-overview/</a><br> CDS: <a href="http://cds.u-strasbg.fr/doc/catstd.htx">http://cds.u-strasbg.fr/doc/catstd.htx</a></p> <p> These files can be read in python using the astropy package:</p> <pre><code class="language-python">from astropy.table import Table data = Table.read("Classify_result_table.txt", format="ascii.cds")</code></pre> <p> or with the most recent version of TOPCAT (> Version 4.8)</p> <p><strong>Additional comments: </strong>The features of training data and classify data were calculated by Python package Feature Analysis for Time Series (FATS), and the result was presented in the file names "Feature_table_with_training_data.txt" and "Feature_table_with_classify_data.txt". Then these two data set were used in our machine learning process. The classification result of Mira was presented in the file "Classify_result_table.txt".<br> </p>
Web Data Commons (December 2020) Property and Datatype Usage Dataset
<p>This is a dataset about the usage of properties and datatypes in the <a href="http://webdatacommons.org/structureddata/2020-12/stats/stats.html">Web Data Commons RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets (December 2020)</a> based on the <a href="http://commoncrawl.org/2020/10/september-2020-crawl-archive-now-available/">Common Crawl September 2020 archive</a>. The dataset has been produced using the <a href="https://doi.org/10.5281/zenodo.6258887">RDF Property and Datatype Usage Scanner v1.0.0</a>, which is based on the <a href="https://jena.apache.org/">Apache Jena</a> framework. Only RDFa and embedded JSON-LD data were considered, as Microdata and Microformats do not incorporate explicit datatypes.</p> <p><strong>Dataset Properties</strong></p> <ul> <li><strong>Size</strong>: 0.6 GiB compressed, 11.0 GiB uncompressed, 53 641 457 rows plus 1 head line determined using <code class="language-bash">gunzip -c measurements.csv.gz | wc -l</code></li> <li><strong>Parsing Failures</strong>: The scanner failed to parse 45 307 472 triples (~0.1 %) of the source dataset (containing 37 971 812 425 triples). The main reasons for failures were malformed IRIs and illegal character encodings.</li> <li><strong>Content</strong>: <ul> <li>CATEGORY: The category (<em>html-embedded-jsonld</em> or <em>html-rdfa</em>) of the Web Data Commons file that has been measured.</li> <li>FILE_URL: The URL of the Web Data Commons file that has been measured.</li> <li>MEASUREMENT: The applied measurement with specific conditions, one of: <ul> <li><strong>UnpreciseRepresentableInDouble</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:double</code>.</li> <li><strong>UnpreciseRepresentableInFloat</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:float</code>.</li> <li><strong>UsedAsDatatype</strong>: The total number of literals with the datatype.</li> <li><strong>UsedAsPropertyRange</strong>: The number of statements that specify the datatype as range of the property.</li> <li><strong>ValidDateNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:date</code>.</li> <li><strong>ValidDateTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:dateTime</code>.</li> <li><strong>ValidDecimalNotation</strong>: The number of lexicals that represent a number with decimal notation and whose lexical representation is thereby in the lexical space of <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidExponentialNotation</strong>: The number of lexicals that represent a number with exponential notation and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidInfOrNaNNotation</strong>: The number of lexicals that equals either <code>INF</code>, <code>+INF</code>, <code>-INF</code> or <code>NaN</code> and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidIntegerNotation</strong>: The number of lexicals that represent an integer number and whose lexical representation is thereby in the lexical space of <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:time</code>.</li> <li><strong>ValidTrueOrFalseNotation</strong>: The number of lexicals that equal either <code>true</code> or <code>false</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>.</li> <li><strong>ValidZeroOrOneNotation</strong>: The number of lexicals that equal either <code>0</code> or <code>1</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>, and <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> </ul> <strong>Note</strong>: Lexical representation of <code>xsd:double</code> values in embedded JSON-LD got normalized to always use exponential notation with up to 16 fractional digits (see <a href="https://github.com/jsonld-java/jsonld-java/blob/v0.13.1/core/src/main/java/com/github/jsonldjava/core/RDFDataset.java#L648">related code</a>). Be careful by drawing conclusions from according <strong>Valid…</strong> and <strong>Unprecise…</strong> measures.</li> <li>PROPERTY: The property that has been measured.</li> <li>DATATYPE: The datatype that has been measured.</li> <li>QUANTITY: The count of statements that fulfill the condition specified by the measurement per file, property and datatype.</li> </ul> </li> </ul> <p><strong>Preview</strong></p> <pre><code>"CATEGORY","FILE_URL","MEASUREMENT","PROPERTY","DATATYPE","QUANTITY" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-embedded-jsonld.nq-00000.gz","UnpreciseRepresentableInDouble","http://schema.org/height","http://www.w3.org/2001/XMLSchema#string","11" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-embedded-jsonld.nq-00000.gz","UnpreciseRepresentableInDouble","http://www.w3.org/ns/csvw#value","http://www.w3.org/2001/XMLSchema#string","27" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-embedded-jsonld.nq-00000.gz","UnpreciseRepresentableInDouble","http://schema.org/saturatedFatContent","http://www.w3.org/2001/XMLSchema#string","1" … "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-rdfa.nq-05166.gz","ValidZeroOrOneNotation","http://purl.org/goodrelations/v1#hasMaxValue","http://www.w3.org/2001/XMLSchema#float","2" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-rdfa.nq-05166.gz","ValidZeroOrOneNotation","http://purl.org/goodrelations/v1#hasMinValue","http://www.w3.org/2001/XMLSchema#float","4" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-rdfa.nq-05166.gz","ValidZeroOrOneNotation","http://rdfs.org/sioc/ns#num_replies","http://www.w3.org/2001/XMLSchema#integer","1062"</code> </pre> <p><strong>Note</strong>: The data contain malformed IRIs, like "<code>xsd:dateTime</code>" (instead of probably "<code>http://www.w3.org/2001/XMLSchema#dateTime</code>"), which are caused by missing namespace definitions in the original source website.</p>
Data of glaciological property constraints for fractures in FRIS
<p>This dataset is applied to set the glaciological property-based constraints for fractures extracted in FRIS. The dataset includes:<br> (1) Outer boundaries of ice rises and ice rumples in FRIS and the corresponding buffer zones, which is modified from Inventory of Antarctic ice rises and rumples (Matsuoka et al., 2015).<br> (2) Ice velocity maps of FRIS, including x and y component of ice velocity, which is generated based on MEaSUREs InSAR-Based Antarctica Ice Velocity Map (Version 2) (Mouginot et al., 2017).<br> </p>
c dataset with security property
<p>C/C++ dataset with security property</p> <p>a sample C/C++ dataset with security property based on MSR_20_Code_vulnerability_CSV_Dataset</p>
Substituent-dependent absorption and fluorescence properties of perylene bisimide radical anions and dianions
<p>Original spectroscopic data to report: </p> <p>R. Renner <em>et. al. Mater. Horiz</em>., <strong>2022</strong>, <em>9</em>, 350–359; DOI: 10.1039/d1mh01019k</p> <p><strong>Abstract</strong>: Perylene-3,4:9,10-bis(dicarboximides) (PBIs) rank among the most important functional dyes and organic semiconductors, but only recently have their radical anions and dianions attracted interest for a variety of applications. Here, we systematically elucidate the functional properties (redox, absorption, and emission) of five PBI anions and dianions bearing different bay-substituents attached to the chromophore core. Cyclic voltammetry measurements reveal the influence of the substituents ranging from electron-withdrawing cyano to electron-donating phenoxy groups on the oxidation and reduction potentials that relate to the HOMO and LUMO levels ranging from −7.07 eV to −6.05 eV and −5.01 eV to −4.05 eV, respectively. Spectroelectrochemical studies reveal a significant number of intense absorption bands in the NIR-spectral range (750–1400 nm) for the radical anions, whereas the dianionic species are characterized by similar spectra to those for the neutral dyes, however being bathochromically shifted and with increased molar extinction coefficients of approximately 100 000 M<sup>−1</sup> cm<sup>−1</sup>. The increase of the transition dipole moment is up to 56% and accompanied by an almost cyanine-like red-shifted (by 300 nm) absorption spectrum for the most electron-poor tetracyanotetrachloro PBI. Whilst the outstanding fluorescence properties of the neutral PBIs are lost for the radical anions, an appreciable near-infrared (NIR) fluorescence with a quantum yield of up to 18% is revealed for the dianions by utilizing a custom-built flow-cell spectroelectrochemistry setup. Time-dependent density functional theory calculations help to assign the absorption bands to the respective electronic transitions.</p>
Supplementary information for 'Microstructure and pinning properties of CSD-grown SmBa2Cu3O7-δ films with and without BaHfO3 nanoparticles'
<p>Supplementary information containing TEM data and analysis for the article </p> <p>"<strong>Microstructure, pinning properties, and aging of CSD-grown SmBa<sub>2</sub>Cu<sub>3</sub>O<sub>7-δ</sub> films with and without BaHfO<sub>3</sub> nanoparticles</strong>"</p> <p>Link to paper: <a href="https://iopscience.iop.org/article/10.1088/1361-6668/ac7b4d">https://iopscience.iop.org/article/10.1088/1361-6668/ac7b4d</a></p> <p>Three folders are present after unzipping the archive:</p> <ul> <li>The folder <em>BHO-Nanoparticle-Size </em>contains a Jupyter notebook showing particle-size analysis. The projected particle sizes/areas were measured using Fiji using the LABKIT plugin by Arzt et al. (<a href="https://doi.org/10.3389/fcomp.2022.777728">https://doi.org/10.3389/fcomp.2022.777728</a>).</li> <li>The <em>Images</em> folder contains 16-bit STEM images in the tiff format. Some images were filtered with an average-background subtraction filter (ABSF).</li> <li>The <em>STEM-EDXS </em>folder shows Jupyter notebooks for STEM-EDXS data treatment using the HyperSpy Python package (<a href="https://hyperspy.org/">https://hyperspy.org/</a>).</li> </ul> <p>If there are any questions/bugs, feel free to contact me at lukas.gruenewald_at_kit.edu</p>
Raw Data for the article: Changes in the Transcriptome Profiles of Human Amnion-Derived Mesenchymal Stromal/Stem Cells Induced by Three-Dimensional Culture: A Potential Priming Strategy to Improve Their Properties
<p>Mesenchymal stromal/stem cells (MSCs) are believed to function in vivo as a homeostatic tool that shows therapeutic properties for tissue repair/regeneration. Conventionally, these cells are expanded in two-dimensional (2D) cultures, and, in that case, MSCs undergo genotypic/phenotypic changes resulting in a loss of their therapeutic capabilities. Moreover, several clinical trials using MSCs have shown controversial results with moderate/insufficient therapeutic responses. Different priming methods were tested to improve MSC effects, and three-dimensional (3D) culturing techniques were also examined. MSC spheroids display increased therapeutic properties, and, in this context, it is crucial to understand molecular changes underlying spheroid generation. To address these limitations, we performed RNA-seq on human amnion-derived MSCs (hAMSCs) cultured in both 2D and 3D conditions and examined the transcriptome changes associated with hAMSC spheroid formation. We found a large number of 3D culture-sensitive genes and identified selected genes related to 3D hAMSC therapeutic effects. In particular, we observed that these genes can regulate proliferation/differentiation, as well as immunomodulatory and angiogenic processes. We validated RNA-seq results by qRT-PCR and methylome analysis and investigation of secreted factors. Overall, our results showed that hAMSC spheroid culture represents a promising approach to cell-based therapy that could significantly impact hAMSC application in the field of regenerative medicine.</p>
A Data Resource for Prediction of Thermodynamic Properties of Small Molecules
<p>We developed a database of 2869 experimental values of enthalpy of formation and 1403 values for entropy for substances composed of stable small molecules, derived from the literature. We developed a model for predicting enthalpy of formation and entropy from semiempirical quantum mechanical calculations of energy and atom counts, and applied the model to a comprehensive database of 16,417 small molecules. The database of small-molecule thermodynamic properties will be useful for predicting the outcome of any process that might involve the generation or destruction of volatile products, such as atmospheric chemistry, volcanism, or waste pyrolysis. Additionally, the collected experimental thermodynamic values will be of value to others developing models to predict enthalpy and entropy.</p>
Web Data Commons (October 2021) Property and Datatype Usage Dataset
<p>This is a dataset about the usage of properties and datatypes in the <a href="http://webdatacommons.org/structureddata/2021-12/stats/stats.html">Web Data Commons RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets (October 2021)</a> based on the <a href="https://commoncrawl.org/2021/11/october-2021-crawl-archive-now-available/">Common Crawl October 2021 archive</a>. The dataset has been produced using the <a href="https://doi.org/10.5281/zenodo.6338129">RDF Property and Datatype Usage Scanner v2.1.1</a>, which is based on the <a href="https://jena.apache.org/">Apache Jena</a> framework. Only RDFa and embedded JSON-LD data were considered, as Microdata and Microformats do not incorporate explicit datatypes.</p> <p><strong>Dataset Properties</strong></p> <ul> <li><strong>Size</strong>: 0.2 GiB compressed, 4.4 GiB uncompressed, 20 361 829 rows plus 1 head line determined using <code class="language-bash">gunzip -c measurements.csv.gz | wc -l</code></li> <li><strong>Parsing Failures</strong>: The scanner failed to parse 45 833 332 triples (~0.1 %) of the source dataset (containing 38 812 275 607 triples).</li> <li><strong>Content</strong>: <ul> <li>CATEGORY: The category (<em>html-embedded-jsonld</em> or <em>html-rdfa</em>) of the Web Data Commons file that has been measured.</li> <li>FILE_URL: The URL of the Web Data Commons file that has been measured.</li> <li>MEASUREMENT: The applied measurement with specific conditions, one of: <ul> <li><strong>UnpreciseRepresentableInDouble</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:double</code>.</li> <li><strong>UnpreciseRepresentableInFloat</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:float</code>.</li> <li><strong>UsedAsDatatype</strong>: The total number of literals with the datatype.</li> <li><strong>UsedAsPropertyRange</strong>: The number of statements that specify the datatype as range of the property.</li> <li><strong>ValidDateNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:date</code>.</li> <li><strong>ValidDateTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:dateTime</code>.</li> <li><strong>ValidDecimalNotation</strong>: The number of lexicals that represent a number with decimal notation and whose lexical representation is thereby in the lexical space of <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidExponentialNotation</strong>: The number of lexicals that represent a number with exponential notation and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidInfOrNaNNotation</strong>: The number of lexicals that equals either <code>INF</code>, <code>+INF</code>, <code>-INF</code> or <code>NaN</code> and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidIntegerNotation</strong>: The number of lexicals that represent an integer number and whose lexical representation is thereby in the lexical space of <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:time</code>.</li> <li><strong>ValidTrueOrFalseNotation</strong>: The number of lexicals that equal either <code>true</code> or <code>false</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>.</li> <li><strong>ValidZeroOrOneNotation</strong>: The number of lexicals that equal either <code>0</code> or <code>1</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>, and <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> </ul> <strong>Note</strong>: Lexical representation of <code>xsd:double</code> values in embedded JSON-LD got normalized to always use exponential notation with up to 16 fractional digits (see <a href="https://github.com/jsonld-java/jsonld-java/blob/v0.13.1/core/src/main/java/com/github/jsonldjava/core/RDFDataset.java#L648">related code</a>). Be careful by drawing conclusions from according <strong>Valid…</strong> and <strong>Unprecise…</strong> measures.</li> <li>PROPERTY: The property that has been measured.</li> <li>DATATYPE: The datatype that has been measured.</li> <li>QUANTITY: The count of statements that fulfill the condition specified by the measurement per file, property and datatype.</li> </ul> </li> </ul> <p><strong>Preview</strong></p> <pre><code>"CATEGORY","FILE_URL","MEASUREMENT","PROPERTY","DATATYPE","QUANTITY" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://www.w3.org/2006/vcard/ns#longitude","https://www.w3.org/2001/XMLSchema#float","1" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://www.w3.org/2006/vcard/ns#latitude","https://www.w3.org/2001/XMLSchema#float","1" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://purl.org/goodrelations/v1#hasCurrencyValue","https://www.w3.org/2001/XMLSchema#float","6" … "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-embedded-jsonld.nq-06239.gz","ValidZeroOrOneNotation","http://schema.org/ratingValue","http://www.w3.org/2001/XMLSchema#integer","96" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-embedded-jsonld.nq-06239.gz","ValidZeroOrOneNotation","http://schema.org/minValue","http://www.w3.org/2001/XMLSchema#integer","164" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2021-12/quads/dpef.html-embedded-jsonld.nq-06239.gz","ValidZeroOrOneNotation","http://schema.org/width","http://www.w3.org/2001/XMLSchema#integer","361"</code></pre> <p><strong>Note</strong>: The data contain malformed IRIs, like "<code>xsd:dateTime</code>" (instead of probably "<code>http://www.w3.org/2001/XMLSchema#dateTime</code>"), which are caused by missing namespace definitions in the original source website.</p> <p><strong>Reproduce</strong></p> <p>To reproduce this dataset checkout the <a href="https://doi.org/10.5281/zenodo.6337650">RDF Property and Datatype Usage Scanner v2.1.0</a> and execute:</p> <pre><code class="language-bash">mvn clean package java -jar target/Scanner.jar --category html-rdfa --list http://webdatacommons.org/structureddata/2021-12/files/html-rdfa.list October2021 java -jar target/Scanner.jar --category html-embedded-jsonld --list http://webdatacommons.org/structureddata/2021-12/files/html-embedded-jsonld.list October2021 ./measure.sh October2021 # Wait until the scan has completed. This will take a few days java -jar target/Scanner.jar --results ./October2021/measurements.csv.gz October2021 </code></pre>
Properties of leak detection sensor, Arduino and application code
<p>The dataset contains properties of a leak detection sensor; absorbance spectra and reflectance in different pH environments, ionic strength, reversibility, FT-IR (Fourier-transform infrared spectroscopy), stability, TGA (Thermogravimetric analysis), and photoisomerization data. The microprocessor and application codes are also included. The information included herein will be helpful for users of the sensor.</p>
Applicability of pea ingredients in baked products: links between formulation, reactivity potential and physicochemical properties
<p>This is the data used for the figures and supplementary information in the following publication:</p> <p>Krause, S., Asamoah, E.A., Huc-Mathis, D., Moulin, G., Jakobi, R., Rega, B. & Bonazzi, C. (2022). Applicability of pea ingredients in baked products: links between formulation, reactivity potential and physicochemical properties. Food Chemistry, 132653. DOI: <a href="https://doi.org/10.1016/j.foodchem.2022.132653">10.1016/j.foodchem.2022.132653</a>.</p> <p> </p> <p><strong>Abstract</strong></p> <p>This study aimed to evaluate the applicability of purified pea ingredients (starch and protein isolate) by assessing their potential to form volatile compounds during the different steps of sponge cake development compared to pea flour and wheat flour. While pea flour was highly susceptible to lipid oxidation during batter beating, the combination of purified pea starch and pea protein yielded significantly fewer oxidation markers with known green-beany off-odors. This was due more to the inactivation of lipoxygenase during flour fractionation than to differences in batter structure. However, fractionated ingredients were highly prone to participating in the Maillard reaction and caramelization during baking, leading to a more complex mixture of pyrazines, Strecker aldehydes and furanic compounds with potential malty and roasted notes compared to cakes based on pea flour or wheat flour. These findings confirm that using purified pea fractions can create high-quality products with an attractive composition.</p>
Data Supplement for ApJ Paper: Stumbling over planetary building blocks: AU Microscopii as an exampleof the challenge of retrieving debris-disk dust properties
<p>Computational data set underlying a manuscript analyzing visible to near infrared wavelength Hubble-STIS spectrographic coronagraph observations of the AU Microscopii debis disk. To interpret this multi-wavelength data set, we calculated light scattering properties of three different debris disk dust grain shape models: spheres, porous spheres, and more realistic irregular agglomerated debris particles. Calculations of scattering efficiency and phase function were done over a range of dust grain sizes and material refractive indices.</p> <p>This bundle contains three .hdf table files. Each table file contains a size parameter array (1D), complex refractive index array (1D), scattering efficiency array (1D), and scattering phase function array (2D). The 1st dimension of each array is the same size. The 2nd dimension of the scattering phase function is 60, the number of scattering angles calculated at an angular resolution of 3 degrees.</p>
Web Data Commons (November 2019) Property and Datatype Usage Dataset
<p>This is a dataset about the usage of properties and datatypes in the <a href="http://webdatacommons.org/structureddata/2019-12/stats/stats.html">Web Data Commons RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets (November 2019)</a> based on the <a href="https://commoncrawl.org/2019/11/november-2019-crawl-archive-now-available/">Common Crawl November 2019 archive</a>. The dataset has been produced using the <a href="https://doi.org/10.5281/zenodo.6338129">RDF Property and Datatype Usage Scanner v2.1.1</a>, which is based on the <a href="https://jena.apache.org/">Apache Jena</a> framework. Only RDFa and embedded JSON-LD data were considered, as Microdata and Microformats do not incorporate explicit datatypes.</p> <p><strong>Dataset Properties</strong></p> <ul> <li><strong>Size</strong>: 37.0 MiB compressed, 785.7 MiB uncompressed, 3 542 700 rows plus 1 head line determined using <code class="language-bash">gunzip -c measurements.csv.gz | wc -l</code></li> <li><strong>Parsing Failures</strong>: The scanner failed to parse 5 080 473 triples (~0.053 %) of the source dataset (containing 9 547 365 107 triples).</li> <li><strong>Content</strong>: <ul> <li>CATEGORY: The category (<em>html-embedded-jsonld</em> or <em>html-rdfa</em>) of the Web Data Commons file that has been measured.</li> <li>FILE_URL: The URL of the Web Data Commons file that has been measured.</li> <li>MEASUREMENT: The applied measurement with specific conditions, one of: <ul> <li><strong>UnpreciseRepresentableInDouble</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:double</code>.</li> <li><strong>UnpreciseRepresentableInFloat</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:float</code>.</li> <li><strong>UsedAsDatatype</strong>: The total number of literals with the datatype.</li> <li><strong>UsedAsPropertyRange</strong>: The number of statements that specify the datatype as range of the property.</li> <li><strong>ValidDateNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:date</code>.</li> <li><strong>ValidDateTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:dateTime</code>.</li> <li><strong>ValidDecimalNotation</strong>: The number of lexicals that represent a number with decimal notation and whose lexical representation is thereby in the lexical space of <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidExponentialNotation</strong>: The number of lexicals that represent a number with exponential notation and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidInfOrNaNNotation</strong>: The number of lexicals that equals either <code>INF</code>, <code>+INF</code>, <code>-INF</code> or <code>NaN</code> and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidIntegerNotation</strong>: The number of lexicals that represent an integer number and whose lexical representation is thereby in the lexical space of <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:time</code>.</li> <li><strong>ValidTrueOrFalseNotation</strong>: The number of lexicals that equal either <code>true</code> or <code>false</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>.</li> <li><strong>ValidZeroOrOneNotation</strong>: The number of lexicals that equal either <code>0</code> or <code>1</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>, and <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> </ul> <strong>Note</strong>: Lexical representation of <code>xsd:double</code> values in embedded JSON-LD got normalized to always use exponential notation with up to 16 fractional digits (see <a href="https://github.com/jsonld-java/jsonld-java/blob/v0.13.1/core/src/main/java/com/github/jsonldjava/core/RDFDataset.java#L648">related code</a>). Be careful by drawing conclusions from according <strong>Valid…</strong> and <strong>Unprecise…</strong> measures.</li> <li>PROPERTY: The property that has been measured.</li> <li>DATATYPE: The datatype that has been measured.</li> <li>QUANTITY: The count of statements that fulfill the condition specified by the measurement per file, property and datatype.</li> </ul> </li> </ul> <p><strong>Preview</strong></p> <pre><code>"CATEGORY","FILE_URL","MEASUREMENT","PROPERTY","DATATYPE","QUANTITY" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2019-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://www.w3.org/2006/vcard/ns#longitude","https://www.w3.org/2001/XMLSchema#float","1" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2019-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://www.w3.org/2006/vcard/ns#latitude","https://www.w3.org/2001/XMLSchema#float","1" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2019-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","http://purl.org/goodrelations/v1#hasCurrencyValue","http://www.w3.org/2001/XMLSchema#floatfloat","10" … "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2019-12/quads/dpef.html-embedded-jsonld.nq-01426.gz","ValidZeroOrOneNotation","http://schema.org/ratingValue","http://www.w3.org/2001/XMLSchema#integer","109" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2019-12/quads/dpef.html-embedded-jsonld.nq-01426.gz","ValidZeroOrOneNotation","http://schema.org/width","http://www.w3.org/2001/XMLSchema#integer","60" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2019-12/quads/dpef.html-embedded-jsonld.nq-01426.gz","ValidZeroOrOneNotation","http://schema.org/minValue","http://www.w3.org/2001/XMLSchema#integer","68"</code></pre> <p><strong>Note</strong>: The data contain malformed IRIs, like "<code>xsd:dateTime</code>" (instead of probably "<code>http://www.w3.org/2001/XMLSchema#dateTime</code>"), which are caused by missing namespace definitions in the original source website.</p> <p><strong>Reproduce</strong></p> <p>To reproduce this dataset checkout the <a href="https://doi.org/10.5281/zenodo.6337650">RDF Property and Datatype Usage Scanner v2.1.0</a> and execute:</p> <pre><code class="language-bash">mvn clean package java -jar target/Scanner.jar --category html-rdfa --list http://webdatacommons.org/structureddata/2019-12/files/html-rdfa.list November2019 java -jar target/Scanner.jar --category html-embedded-jsonld --list http://webdatacommons.org/structureddata/2019-12/files/html-embedded-jsonld.list November2019 ./measure.sh November2019 # Wait until the scan has completed. This will take a few days java -jar target/Scanner.jar --results ./November2019/measurements.csv.gz November2019 </code></pre>
DataSet: Structural and optical properties of gold nanosponges revealed via 3D nano-reconstruction and phase-field models
<p>These are the main raw and processed data for the publication "Structural and optical properties of gold nanosponges revealed<br> via 3D nano-reconstruction and phasefield models".</p> <p>Abstract:<br> Nanoporous gold nanoparticles are subject of intensive research due to their unique morphology, which leads to electric field localizations generating a strongly nonlinear optical response, allowing a wide range of applications. However, accurate predictions of physical properties require detailed knowledge of the sponges’ chaotic nanometer-sized geometrical structures, posing a metrological challenge. Therefore, a main goal is to obtain computer models with equivalent structural and optical properties. To understand the sponges’ morphology, a procedure for their accurate three-dimensional reconstruction using focused ion beam tomography is presented. Next, a small number of morphological key parameters is derived that sufficiently characterize the complex topology. Additionally, a new simulation method for the computer-aided creation of finite-sized sponges with adjustable geometric properties is presented. It is shown that if certain morphological parameters are similar for computer-generated and experimental sponges, their optical response, including number and locations of field localizations, are also similar. Finally, the anisotropy of the experimental sponges is analyzed and an easy-to-use procedure to replicate arbitrary anisotropies in computer-generated sponges is presented.</p>
Laboratory validation of a smartphone-based sensor for diffuse optical volume properties
<p>This data set contains raw image data for laboratory validation of a diffuse-optical, smartphone-based sensor. The measurements were taken using scattering phantoms with known scattering and absorption coefficient. The raw image files have been converted to an uncompressed Adobe-.dng file format, file names indicate whether the file contains data for the three scattering phantoms (One, Two, Three) or spatial calibration data using a 9mm x 9mm calibration pattern (calib). The raw images are located in the folder ./calib. Matlab code is contained in the filder ./matlab. It can be run on Matlab R2021b.</p> <p>For analyzing the raw data set, use "CameraBatchCalib.m". It wraps around the function "CameraAnalysisCalib.m", which performs the image analysis and least-square fit to resorted and rescaled data, employing in turn the model function "theosurfG.m". The resulting data is plotted for comparison with the nominal attenuation length of the scattering phantoms.</p> <p>If you wish to use this data set please contact Markus Allgaier at markusa@uoregon.edu with a description of the work and any questions so that we may offer guidance in regards to the best usage of our dataset and code. When using the data set within a publication, please cite:</p> <p>Markus Allgaier & Brian Smith, "A Smartphone-Based Sensor for Measuring the Optical Properties of Snow", in preparation, (2022).</p> <p>The underlying fit function is based on the calculations from:</p> <p>Markus Allgaier and Smith, Diffuse optics for glaciology, Opt. Express 29, 18845–18864 (2021)</p> <p> </p>
The dataset by "Spectrally Consistent Scattering, Absorption, and Polarization Properties of Atmospheric Ice Crystals at Wavelengths from 0.2 to 100 μm"
<p>This is the ice crystal single-scattering property dataset introduced in the paper "Yang, Ping, et al. "Spectrally consistent scattering, absorption, and polarization properties of atmospheric ice crystals at wavelengths from 0.2 to 100 μ m." <em>Journal of the Atmospheric Sciences</em> 70.1 (2013): 330-347.".</p>
Web Data Commons (November 2018) Property and Datatype Usage Dataset
<p>This is a dataset about the usage of properties and datatypes in the <a href="http://webdatacommons.org/structureddata/2018-12/stats/stats.html">Web Data Commons RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets (November 2018)</a> based on the <a href="https://commoncrawl.org/2018/11/november-2018-crawl-archive-now-available/">Common Crawl November 2018 archive</a>. The dataset has been produced using the <a href="https://doi.org/10.5281/zenodo.6338129">RDF Property and Datatype Usage Scanner v2.1.1</a>, which is based on the <a href="https://jena.apache.org/">Apache Jena</a> framework. Only RDFa and embedded JSON-LD data were considered, as Microdata and Microformats do not incorporate explicit datatypes.</p> <p><strong>Dataset Properties</strong></p> <ul> <li><strong>Size</strong>: 22.2 MiB compressed, 569.6 MiB uncompressed, 2 608 325 rows plus 1 head line determined using <code class="language-bash">gunzip -c measurements.csv.gz | wc -l</code></li> <li><strong>Parsing Failures</strong>: The scanner failed to parse 4 135 842 triples (~0.077 %) of the source dataset (containing 5 367 569 192 triples).</li> <li><strong>Content</strong>: <ul> <li>CATEGORY: The category (<em>html-embedded-jsonld</em> or <em>html-rdfa</em>) of the Web Data Commons file that has been measured.</li> <li>FILE_URL: The URL of the Web Data Commons file that has been measured.</li> <li>MEASUREMENT: The applied measurement with specific conditions, one of: <ul> <li><strong>UnpreciseRepresentableInDouble</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:double</code>.</li> <li><strong>UnpreciseRepresentableInFloat</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:float</code>.</li> <li><strong>UsedAsDatatype</strong>: The total number of literals with the datatype.</li> <li><strong>UsedAsPropertyRange</strong>: The number of statements that specify the datatype as range of the property.</li> <li><strong>ValidDateNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:date</code>.</li> <li><strong>ValidDateTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:dateTime</code>.</li> <li><strong>ValidDecimalNotation</strong>: The number of lexicals that represent a number with decimal notation and whose lexical representation is thereby in the lexical space of <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidExponentialNotation</strong>: The number of lexicals that represent a number with exponential notation and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidInfOrNaNNotation</strong>: The number of lexicals that equals either <code>INF</code>, <code>+INF</code>, <code>-INF</code> or <code>NaN</code> and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidIntegerNotation</strong>: The number of lexicals that represent an integer number and whose lexical representation is thereby in the lexical space of <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:time</code>.</li> <li><strong>ValidTrueOrFalseNotation</strong>: The number of lexicals that equal either <code>true</code> or <code>false</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>.</li> <li><strong>ValidZeroOrOneNotation</strong>: The number of lexicals that equal either <code>0</code> or <code>1</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>, and <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> </ul> <strong>Note</strong>: Lexical representation of <code>xsd:double</code> values in embedded JSON-LD got normalized to always use exponential notation with up to 16 fractional digits (see <a href="https://github.com/jsonld-java/jsonld-java/blob/v0.13.1/core/src/main/java/com/github/jsonldjava/core/RDFDataset.java#L648">related code</a>). Be careful by drawing conclusions from according <strong>Valid…</strong> and <strong>Unprecise…</strong> measures.</li> <li>PROPERTY: The property that has been measured.</li> <li>DATATYPE: The datatype that has been measured.</li> <li>QUANTITY: The count of statements that fulfill the condition specified by the measurement per file, property and datatype.</li> </ul> </li> </ul> <p><strong>Preview</strong></p> <pre><code>"CATEGORY","FILE_URL","MEASUREMENT","PROPERTY","DATATYPE","QUANTITY" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2018-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://www.w3.org/2006/vcard/ns#longitude","https://www.w3.org/2001/XMLSchema#float","4" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2018-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://www.w3.org/2006/vcard/ns#latitude","https://www.w3.org/2001/XMLSchema#float","4" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2018-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://purl.org/goodrelations/v1#hasCurrencyValue","https://www.w3.org/2001/XMLSchema#float","6" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2018-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","http://purl.org/goodrelations/v1#hasCurrencyValue","http://www.w3.org/2001/XMLSchema#floatfloat","8" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2018-12/quads/dpef.html-rdfa.nq-00000.gz","UnpreciseRepresentableInDouble","https://opengraphprotocol.org/schema/latitude","http://www.w3.org/2001/XMLSchema#string","30" … "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2018-12/quads/dpef.html-embedded-jsonld.nq-00734.gz","ValidZeroOrOneNotation","http://schema.org/numberOfItems","http://www.w3.org/2001/XMLSchema#integer","40" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2018-12/quads/dpef.html-embedded-jsonld.nq-00734.gz","ValidZeroOrOneNotation","http://schema.org/ratingValue","http://www.w3.org/2001/XMLSchema#integer","431" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2018-12/quads/dpef.html-embedded-jsonld.nq-00734.gz","ValidZeroOrOneNotation","http://schema.org/width","http://www.w3.org/2001/XMLSchema#integer","122" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2018-12/quads/dpef.html-embedded-jsonld.nq-00734.gz","ValidZeroOrOneNotation","http://schema.org/minValue","http://www.w3.org/2001/XMLSchema#integer","63" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2018-12/quads/dpef.html-embedded-jsonld.nq-00734.gz","ValidZeroOrOneNotation","http://schema.org/pageEnd","http://www.w3.org/2001/XMLSchema#integer","139" </code></pre> <p><strong>Note</strong>: The data contain malformed IRIs, like "<code>xsd:dateTime</code>" (instead of probably "<code>http://www.w3.org/2001/XMLSchema#dateTime</code>"), which are caused by missing namespace definitions in the original source website.</p> <p><strong>Reproduce</strong></p> <p>To reproduce this dataset checkout the <a href="https://doi.org/10.5281/zenodo.6338129">RDF Property and Datatype Usage Scanner v2.1.1</a> and execute:</p> <pre><code class="language-bash">mvn clean package java -jar target/Scanner.jar --category html-rdfa --list http://webdatacommons.org/structureddata/2018-12/files/html-rdfa.list November2018 java -jar target/Scanner.jar --category html-embedded-jsonld --list http://webdatacommons.org/structureddata/2018-12/files/html-embedded-jsonld.list November2018 ./measure.sh November2018 # Wait until the scan has completed. This will take a few days java -jar target/Scanner.jar --results ./November2018/measurements.csv.gz November2018 </code></pre>
Flow properties of slow granular flows of irregular grains
<p>This repository holds the tomographic data of slow granular flows of irregular grains in shear cell and in silo. We tested the 3D flow properties of realistic (non-spherical) granular materials with special emphasis on the orientational ordering of the grains and its effect on the flowability of the sample. In this collaborative work between the Wigner Research Centre (Budapest) and Otto-von Guericke University (Magdeburg), laboratory experiments have been performed in two geometrical configurations: (I) quasi-static shear flow in a split bottom Couette shear device and (II) slow flow in a silo.<br> <br> The read_me.txt contains the structure of the data. Additional information/data not included in this repository is available upon request.</p>
Luangwa Rift Seismogenic Source Properties
<p>Seismogenic source properties derived from the <a href="https://doi.org/10.5281/zenodo.6513691">Luangwa Rift Active Fault Database</a> (<a href="https://doi.org/10.5281/zenodo.6513691">LRAFD</a>). Source properties were calcuated using fault length and the scaling laws set out in Leonard (2010).</p> <p>For full details please refer to the following manuscript that accompanies the publication of this dataset:</p> <p>Turner, T. Wedmore, L.N.J., Biggs, J. Williams, J.N., Sichingabula, H.M., Kabumbu, C., Banda, K. The Luangwa Rift Active Fault Database and fault reactivations along the southwestern branch of the East African Rift. <em>Submitted to EGU Solid Earth.</em></p> <p> </p> <p><strong>Citation</strong></p> <p>Please cite the latest release of this database on Zenodo in addition to the following manuscript:<br> Turner, T. Wedmore, L.N.J., Biggs, J. Williams, J.N., Sichingabula, H.M., Kabumbu, C., Banda, K. The Luangwa Rift Active Fault Database and fault reactivations along the southwestern branch of the East African Rift. <em>Submitted to EGU Solid Earth</em></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.