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Database of measurements for damage detection of steel beam splice connection by Coaxial Correlation Method in 6-D space
<p>This database includes series of measurements of the structure's response taken in six-dimensional space using two 6D sensors, coaxially positioned on either side of the investigated splice connection between two steel beams. The data set consists of two parts. The first part of the data set is measurements for six different specimens with wave type impact – short sweep signal with duration 0.05 s. The second part is the measurements during splice connection degradation of one of the specimens with short impulse. The degradation of a connection is presented by four different states of joints. In the "<strong>Read_me_first.pdf</strong>" is described the experiment, the format of .csv files names and files' structure.</p><p>Used materials, methods and results for the second part of the data set is described in Buka-Vaivade, K.; Kurtenoks, V.; Serdjuks, D. Non-Destructive Damage Detection of Structural Joint by Coaxial Correlation Method in 6D Space. <i>Buildings</i> <strong>2023</strong>, <i>13</i>, 1151. https://doi.org/10.3390/buildings13051151</p>
Database of measurements for damage detection of steel beam splice connections by Coaxial Correlation Method in 6-D space
<p>This database includes series of measurements of the structure's response taken in six-dimensional space using two 6D sensors, coaxially positioned on either side of the investigated splice connection between two steel beams. The data set consists of measurements for six different specimens with two types of impact – sweep signal with duration 0.5 s and short impulse, during degradation of the splice connections realised by unbolting the bolts in the connections. In the "<strong>Read_me_first.pdf</strong>" is described the experiment, the format of .csv files names and files' structure.</p><p>This database is a continuation of the database Kurtenoks, V., Buka-Vaivade, K., Serdjuks, D., Lapkovskis, V., Mironovs, V., & Podkoritovs, A. (2023). Database of measurements for damage detection of steel beam splice connection by Coaxial Correlation Method in 6-D space (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10077332<br>Suggested by authors data post-processing is described in Buka-Vaivade, K.; Kurtenoks, V.; Serdjuks, D. Non-Destructive Damage Detection of Structural Joint by Coaxial Correlation Method in 6D Space. <i>Buildings</i> <strong>2023</strong>, <i>13</i>, 1151. https://doi.org/10.3390/buildings13051151</p>
Long term response of arctic tussock tundra to thermal erosion features: A modeling analysis. Tussock tundra regrowth after a thermal erosion event: Simulation D - reduced Phase I and Phase II soil organic matter
The Multiple Element Limitation (MEL) model is used to simulate the recovery of Alaskan arctic tussock tundra to thermal erosion features (TEFs) caused by permafrost thaw and mass wasting. TEFs could be significant to regional carbon (C) and nutrient budgets because permafrost soils contain large stocks of soil organic matter (SOM) and TEFs are expected to become more frequent as climate warms. These simulations deal only with recovery following TEF stabilization and do not address initial losses of C and nutrients during TEF formation. To capture the variability among and within TEFs, we simulate a range of post-stabilization conditions by varying the initial size of SOM pools and nutrient supply rates. This file contains the results for 100 years of tussock tundra recovery after a thermal erosion event. This simulation is of TEF recovery with reduced Phase I and Phase II soil organic matter compared to the base simulation. Data is presented for day 250 of each year. .
Database of measurements for damage detection of T-type timber structural joint by Coaxial Correlation Method in 6-D space
<p>This database includes series of measurements of the structure's response taken in six-dimensional space using two 6D sensors, coaxially positioned on either side of the investigated joint between two timber beams connected at an angle of 90⁰. Presented data related to seven different states of joints, five load levels, and two type of input signal (short impulse and sweep signal with duration 0.5 seconds). In the "<strong>Read_me_first.pdf</strong>" is described the experiment, the format of .csv files names and files' structure.</p>
AMOC reconstruction between 1981 and 2016 from hydrographic data using an empirical linear regression model from Worthington, E. L., Moat, B. I., Smeed, D. A., Mecking, J. V., Marsh, R., and McCarthy, G. D.: A 30-year reconstruction of the Atlantic meridional overturning circulation shows no decline, Ocean Sci., 17, 285–299, https://doi.org/10.5194/os-17-285-2021, 2021.
<p>Dataset used to create Figure 8 in Worthington et al., 2021 (https://doi.org/10.5194/os-17-285-2021). Details of the data and methods can be found in the journal article.<br> <br> Worthington, E. L., Moat, B. I., Smeed, D. A., Mecking, J. V., Marsh, R., and McCarthy, G. D.: A 30-year reconstruction of the Atlantic meridional overturning circulation shows no decline, Ocean Sci., 17, 285–299, <a href="https://doi.org/10.5194/os-17-285-2021">https://doi.org/10.5194/os-17-285-2021</a>, 2021.</p>
theme-d-Prose 1848-1920
<p>The literary text corpus "theme-d-Prose 1848-1920" is a specialized collection of 1,227 German-language literary prose texts (shortest: 2,048 words; longest: 100,909 words).</p> <p>It is an extended subcorpus of "d-Prose 1870-1920" (<a title="d-Prose 1870-1929" href="10.5281/zenodo.4315208" target="_blank" rel="noopener">Gius/Guhr/Adelmann 2021</a>), which is the source of 804 of its text files, originally taken from the corpus KOLIMO (Herrmann and Lauer 2017), which in turn is based on the repositories Gutenberg-DE (Projekt Gutenberg-DE, Hille & Partner, and Reuters 2017), Deutsches Textarchiv (Geyken et al. 2011), and TextGrid (TextGrid Repository 2020).</p> <p>An additional 423 texts were added from Gutenberg-DE (Projekt Gutenberg-DE, Hille & Partner, and Reuters 2017), the Deutsches Textarchiv (Geyken et al. 2011), and the Wikisource Collections (Wikimedia Stiftung 2023).</p> <div> <div> <div> <p>In terms of social and literary history, the selected publication period (1848-1920) covers a time of many political changes in the German-speaking area with a diverse literary production that can retrospectively be grouped into the following major literary movements and epochs: the end of pre-March and the Biedermeier, Realism, Naturalism, Modernism, and Expressionism. </p> <div> <div> <div> <p>In addition to the nationality of the authors and the years of publication, the texts for "theme-d-Prose 1848-1920" were selected primarily on the basis of the 'non-fictional elements', such as geographical, political, or historical entities, present in their fiction, which were found to share a common spatial and temporal setting of their fictional worlds representing the German-speaking area of the 19th and early 20th centuries, making "theme-d-Prose 1848-1920" to be an extended and thematically specialized "d-Prose 1870-1920" subcorpus.</p> <p>Each text was manually tagged with the markup XML element <title></title> from the TEI standards (TEI Consortium 2022, Burnard, Schöch, and Odebrecht 2021). In addition to that, the indications of volume (e.g. "Buch 1" or "Band 2") and chapter headings or chapter numbers were manually tagged with markup XML elements <section></section> for volumes and <chapter></chapter> for chapters.</p> <p>The text corpus is available as a zipped folder of XML files and has been enriched with metadata in an additional CSV file.</p> <p>The CSV file contains basic metadata about:</p> </div> </div> </div> </div> </div> </div> <ul> <li>the authors: name, pseudonyms, year of birth and death, gender, nationality, authority file identifier (GND ID, Deutsche Nationalbibliothek 2024)</li> <li>the corpus texts: title, number of words, date of first publication, genre (as far as this information is directly documented in the consulted repositories, i.e. in the metadata of d-Prose, or Wikipedia and the consulted literary encyclopedias and literary histories, such as Arnold (2020), Killy and Kühlmann (2008), Stein and Stein (2008), or Brenner (2011))</li> <li>the fiction of the texts: information about the time and place of the fiction, including keywords and quotes taken from the texts</li> </ul> <p> </p> <table> <tbody> <tr> <td><strong>number of texts</strong></td> <td><strong>sum in words</strong></td> <td><strong>average</strong></td> <td><strong>median</strong></td> <td><strong>standard deviation</strong></td> </tr> <tr> <td>1,227</td> <td>34,534,384</td> <td>28,145.38</td> <td>16,971</td> <td>27,036.46</td> </tr> </tbody> </table> <p> </p> <table> <tbody> <tr> <td><strong>total number of authors</strong></td> <td>346</td> <td>100%</td> </tr> <tr> <td><strong>number of female authors</strong></td> <td>89</td> <td>25.7%</td> </tr> <tr> <td><strong>number of male authors</strong></td> <td>257</td> <td>74.3%</td> </tr> </tbody> </table> <p> </p> <table> <tbody> <tr> <td> </td> <td><strong>number of texts</strong></td> <td><strong>percentage of the entire corpus</strong></td> </tr> <tr> <td><strong>by female authors</strong></td> <td>315</td> <td>25.7%</td> </tr> <tr> <td><strong>by male authors</strong></td> <td>912</td> <td>74.3%</td> </tr> </tbody> </table> <p> </p> <table> <tbody> <tr> <td><strong>decade</strong></td> <td><strong>number of texts</strong></td> <td><strong>number of words</strong></td> </tr> <tr> <td><strong>1848-1860</strong></td> <td>137</td> <td>2,382,896</td> </tr> <tr> <td><strong>1861-1870</strong></td> <td>135</td> <td>2,353,938</td> </tr> <tr> <td><strong>1871-1880</strong></td> <td>121</td> <td>3,584,370</td> </tr> <tr> <td><strong>1881-1890</strong></td> <td>162</td> <td>4,684,519</td> </tr> <tr> <td><strong>1891-1900</strong></td> <td>256</td> <td>6,695,539</td> </tr> <tr> <td><strong>1901-1910</strong></td> <td>258</td> <td>8,488,707</td> </tr> <tr> <td><strong>1911-1920</strong></td> <td>158</td> <td>6,344,415</td> </tr> </tbody> </table> <p> </p> <p><strong>Clusters of Subcorpora:</strong></p> <table> <tbody> <tr> <td><strong>cluster name</strong></td> <td><strong>subcorpora</strong></td> <td><strong>number of texts</strong></td> <td><strong>number of words</strong></td> <td><strong>shortest text</strong></td> <td><strong>longest texts</strong></td> </tr> <tr> <td><strong>author gender</strong></td> <td> <p>female authors</p> <p>male authors</p> </td> <td> <p>316</p> <p>912</p> </td> <td> <p>9,938,452</p> <p>24,595,932</p> </td> <td> <p>2,500</p> <p>2,048</p> </td> <td> <p>100,909</p> <p>100,180</p> </td> </tr> <tr> <td><strong>publication date</strong></td> <td> <p>1848-1870</p> <p>1871-1900</p> <p>1901-1920</p> </td> <td> <p>272</p> <p>540</p> <p>416</p> </td> <td> <p>4,736,834</p> <p>14,964,428</p> <p>14,833,122</p> </td> <td> <p>2,201</p> <p>2,316</p> <p>2,048</p> </td> <td> <p>99,954</p> <p>100,780</p> <p>100,909</p> </td> </tr> <tr> <td><strong>text length</strong></td> <td> <p>very short texts</p> <p>short texts</p> <p>medium texts</p> <p>long texts</p> </td> <td> <p>425</p> <p>461</p> <p>196</p> <p>145</p> </td> <td> <p>2,327,416</p> <p>9,250,959</p> <p>10,741,578</p> <p>12,214,431</p> </td> <td> <p>2,048</p> <p>10,029</p> <p>40,001</p> <p>70,208</p> </td> <td> <p>9,959</p> <p>39,878</p> <p>69,387</p> <p>100,909</p> </td> </tr> </tbody> </table> <p> </p>
3-D velocity field of the Tibetan Plateau due to land water loading
<h3>Basic information:</h3> <p>This dataset includes a series of 3-D loading deformation velocity fields, which are supplements to the GRL paper entitled "Present-Day Three-Dimensional Crustal Deformation Velocity of the Tibetan Plateau Due to Multi-Component Land Water Loading" [<a href="https://doi.org/10.1029/2024GL108684">https://doi.org/10.1029/2024GL108684</a>]. The deformation velocities are fitted using long time span data during 2000-2020, and the detailed description of the data processing and calculation methods can be found through the GRL paper. There are results of three different grid resolutions (0.5x0.5, 0.25x0.25, 0.1x0.1), and for distinction, different file naming suffixes are used. For example, '0point5grids' indicates the results are in 0.5-degree grid resolutions (0.5x0.5), and so forth.</p> <h3>Application scenario:</h3> <p>The velocity fields here can be directly used for the analysis of crustal deformation or used for the separation of land water-induced loading deformation within geodetic deformation velocity fields over Tibetan Plateau. There are results of all the six main land water components, including soil moisture (SM) [Table S1], snow water equivalent (SWE) [Table S2], glacier [Table S3], lake [Table S4], permafrost (PM) [Table S5] and groundwater storage (GWS) [Table S6], thus users can choose one or some they focus on, or directly choose the sum of all the six main components (i.e., GRACE-inferred total terrestrial water storage [Table S7]).</p> <h3>Citation: </h3> <p>When using this dataset, please cite the GRL paper: Jiao, J., Pan, Y., Ren, D., & Zhang, X. (2024). Present-day three-dimensional crustal deformation velocity of the Tibetan Plateau due to multi-component land water loading. <em>Geophysical Research Letters</em>, 51, e2024GL108684. <a href="https://doi.org/10.1029/2024GL108684">https://doi.org/10.1029/2024GL108684</a></p> <h3>Contents:</h3> <p>Table S1. 3-D velocity field of the Tibetan Plateau due to the loading of soil moisture (SM).</p> <p>Table S2. 3-D velocity field of the Tibetan Plateau due to the loading of snow water equivalent (SWE).</p> <p>Table S3. 3-D velocity field of the Tibetan Plateau due to the loading of glacier.</p> <p>Table S4. 3-D velocity field of the Tibetan Plateau due to the loading of lake.</p> <p>Table S5. 3-D velocity field of the Tibetan Plateau due to the loading of permafrost (PM).</p> <p>Table S6. 3-D velocity field of the Tibetan Plateau due to the loading of groundwater storage (GWS).<br>Table S7. 3-D velocity field of the Tibetan Plateau due to the loading of GRACE-inferred total terrestrial water storage (TWS).</p>
LTER-Italy site Appennino centrale Gran Sasso d'Italia figure
<p>Geographical representation of the LTER-Italy site Appennino centrale Gran Sasso d'Italia (LTER_EU_IT_021) - DEIMS-ID <a href="https://deims.org/c0738b00-854c-418f-8d4f-69b03486e9fd">https://deims.org/c0738b00-854c-418f-8d4f-69b03486e9fd</a></p>
Catalysis of Tos-Gly-Pro-Arg-p-nitroanilide by α-thrombin in the presence of an anticoagulant produced by D. andersoni (dataset formatted for analysis by interferENZY)
<p><strong>Main description</strong></p> <p>This dataset depicts the catalysis of the chromogenic substrate Tos-Gly-Pro-Arg-p-nitroanilide by α-thrombin in the presence of an anticoagulant produced by <em>Dermacentor andersoni</em>, for fixed concentration of enzyme (and modulator) and variation of concentration of initial substrate. It was originally documented in <em>Biophysical Chemistry 252 (2019) 106193</em> (<a href="https://doi.org/10.1016/j.bpc.2019.106193">https://doi.org/10.1016/j.bpc.2019.106193</a>), and <em>PNAS 116 (28) 13873-13878</em> (<a href="https://doi.org/10.1073/pnas.1905177116">https://doi.org/10.1073/pnas.1905177116</a>), and then used as a study case for the webserver interferENZY (a web-based tool for enzymatic assay validation and standardized kinetic analysis; visit <a href="https://interferenzy.i3s.up.pt">https://interferenzy.i3s.up.pt</a> for more information). To this end, it was converted to the format here presented: tab-separated *.txt input required for interferENZY analysis.</p> <p> </p> <p><strong>Dataset organization</strong></p> <p>Line 1: Tab-separated initial concentrations of substrate Tos-Gly-Pro-Arg-p-nitroanilide in micromolar (µM) concentration</p> <p>Line 2: Concentration of enzyme (0.15 nM)</p> <p>Line 3: Units of time</p> <p>Line 4: Units of concentration for substrate values and measurements</p> <p>Line 5: Dataset name</p> <p>Line 6 and downwards: Tab-separated column-pairs of the progress curves (time,Product) corresponding to the indicated values of initial concentrations of substrate in line 1</p> <p> </p> <p><strong>Contact information:</strong></p> <p>Maria Filipa Pinto (mfpinto@i3s.up.pt)<br> Pedro M. Martins (pmartins@ibmc.up.pt)</p> <p>i3S – Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen, 208, 4200-135 Porto, Portugal. Telephone number: +351 226 074 900</p>
Study of Calabrian Sounding Objects. Field Notes - D. Mastroianni
<p>This dataset contains the ethnomusicological data concerning the study of traditional sounding objects in Calabria generated for the EU-funded research LoMus - Local Sound for a New Musicality. </p><p> </p><p>LoMus - Local Sound for a New Musicality. Enhancing Musical Participation through a Local Sonic Practice is a research project funded under the Marie Skłodowska Curie Action. LoMus investigates ways of expanding musical participation through the use of sounding objects and contemporary music techniques.</p>
Processing of 3-D Polygon Mesh Model and Radio Propagation Simulations in a Cave: Surface Reconstruction from Point Cloud, Simplification of the Mesh, and Ray Tracing
<p><strong>ABOUT</strong></p><p>This repository includes mesh data from cave geometry scanning and processing, and radio propagation data from ray tracing simulations.</p><p>The geometry data is obtained with laser scanning in a cave in Slovenija. </p><p>The geometry processing includes (i) 3-D shape reconstruction - surface reconstruction from point cloud data and (ii) simplification - reduction of the geometric complexity of the 3-D mesh model. </p><p>The radio propagation data is obtained using CloudRT [1] ray-tracing simulator. </p><p>The obtained propagation-related quantities include information about the propagation mechanism, interactions with the geometry, received power, delay, azimuth and elevation angles of arrival and departure, and path loss. </p><p> </p><p><strong>AUTHORS</strong></p><p>Teodora Kocevska, Andrej Hrovat, Tomaž Javornik</p><p>Department of Communication Systems</p><p>Jožef Stefan Institute, SI-1000 Ljubljana, Slovenia</p><p>teodora.kocevska@ijs.si</p><p> </p><p><strong>GEOMETRY PROCESSING</strong></p><p>The cave segment used for the propagation calculations is selected from a point cloud obtained in a cave in Litia, Slovenia. The point cloud is obtained with 3-D laser scanning of the environment. The selected segment is approx. 58 m long. Several parameter configurations were considered for 3-D shape reconstruction, including Poisson surface reconstruction with octree depths of 8, 10, and 12. Geometries that represent the cave shape and have different levels of complexity were created and studied. In the simplification process, one and two-stage simplification was explored using the Quadric Edge Collapse Decimation approach. </p><p> </p><p><strong>RADIO SETUP</strong></p><p>The transmitter (Tx) is fixed at the entrance of the cave and the receiver (Rx) is moved along the cave in 40 positions with a step of 1 m.</p><p>Omnidirectional antennas at the Tx and Rx sites and vertical polarization are considered. The antenna is mounted 1.5 m above the ground.</p><p>The start frequency is 3.5 GHz, the end frequency is 3.6 GHz and the step is 10 MHz. Direct propagation and first-order reflection are considered. </p><p>The cave geometry is represented by a triangular mesh, and the material of the cave is wet earth. The material electromagnetic properties are selected according to the specifications presented in [2].</p><p> </p><p><strong>FOLDER STRUCTURE</strong></p><p>The folder structure is:</p><p> - Polygon_Mesh_Models</p><p> <i># 3-D environment models with varying </i>levels<i> of geometry complexity</i></p><p> - Reconstruction_Segmen1_Poisson_Surface_Reconstruction</p><p> - Simplification_Segment1_Quadric_Edge_Collapse_Decimation</p><p> - Propagation_Data</p><p> <i># Propagation quantities of all rays between a transmitter and receiver</i></p><p> - AllRay_PropData</p><p> - PathLoss</p><p> - readme.txt</p><p> - RayTracing_EnvironmentModel</p><p> <i> # Final environment model used for ray tracing simulations</i></p><p> - Cave_MeshModel.json</p><p> - Cave_MeshModel.skb</p><p> - Cave_MeshModel.skp</p><p> - RayTracing_MaterialProperties</p><p> <i># Properties of the materials in the environment</i></p><p> - materials.json</p><p> - materials.mtl</p><p> - readme.txt</p><p> - Cave_Length.txt</p><p> <i># Length between selected locations in the environment</i></p><p> - Cave_Segment1_visual.png</p><p> <i> # Visualization of the environment segment used for propagation calculation</i></p><p> - readme.txt</p><p> <i># Overall description </i></p><p><strong>REFERENCES</strong></p><p>[1] D. He, B. Ai, K. Guan, L. Wang, Z. Zhong, and T. Kürner, "The Design and Applications of High-Performance Ray-Tracing Simulation Platform for 5G and Beyond Wireless Communications: A Tutorial," in IEEE Communications Surveys & Tutorials, vol. 21, no. 1, pp. 10-27, First quarter 2019, doi: 10.1109/COMST.2018.2865724.</p><p>[2] R. sector of International Telecommunication Union (ITU-R), "Effects of building materials and structures on radio wave propagation above about 100 MHz," International Telecommunication Union, ITU-R Recommendation P.2040-2, 2021.</p><p> </p><p><strong>ACKNOWLEDGEMENT</strong></p><p>This work was supported by the Slovenian Research Agency under grant <strong>J2-3048</strong>.</p><p> </p>
Multi-faceted analyses of Poland's Bronze and Early Iron Age hoards: Fig.5. Pottery (A, C), animal bones (B), a human skull (C, D), and a flint tool (D) excavated from underneath the stone layer in Kaliszany (archaeological site no. 3)
<p>The set contains a figure, with with photographs that show examples of finds discovered during excavations at archaeological site 3 in Kaliszany, Wągrowiec commune, Poland. It is a stone and earth structure in which a hoard of metal objects dating to the Late Bronze Age was discovered in 1943. The photo is from the 2022 survey, when the south-western part of the structure was explored. <br><br>The paper and data were prepared as part of a project funded by the National Science Centre, Poland: <em>A Biography of Late Bronze and Early Iron Ages Hoards. A Multi-Faceted Analysis of Metal Objects Related to Monumental Constructions in Poland</em> (UMO-2021/41/B/HS3/00038)</p>
Discutons d'une éducation ouverte et durable
<p>Le 22 mars 2024 s’est déroulé un café jasette sous le thème de l’éducation ouverte et durable. Cet événement convivial a été organisé à l'Université de Sherbrooke dans le cadre du Mois de l'éducation ouverte et de la Semaine des ODD. Ce fut le moment de rassembler différentes parties prenantes de la communauté universitaire pour échanger et réfléchir à la synergie possible entre les enjeux de réussite étudiante, d'éducation ouverte et du développement durable, au bénéfice des personnes étudiantes. Le but de cette jasette étant d’apporter différentes perspectives à ces enjeux et d'identifier des synergies possibles. Pour alimenter les réflexions, des définitions et des pistes de réflexion étaient mises à disposition.</p> <p>Réalisée en temps réel par la graphiste Mylène Choquette, une illustration graphique témoigne de la richesse et la diversité des interventions. Bien qu’attrayante, l'illustration d’une telle discussion représente les réflexions des personnes présentes et l'état de la discussion et non l’ensemble de la littérature autour de ce sujet. Un plus à cette formule est certainement que dans ce genre de représentation, il y a de l’ouverture pour aller plus loin dans les réflexions et faire émerger de nouvelles relations et perspectives sur les enjeux de départ. </p> <p>Cette activité fut possible grâce à la participation du Service de soutien à la formation de l'Université de Sherbrooke et à la contribution financière de i-mersion CP, fabriqueREL et du Vice-Rectorat aux études de l'Université de Sherbrooke.</p>
PMa_000075_D_Maidbronn
<u>File Name</u>: PMa_000075_D_Maidbronn.jpg <br><u>Sublocation</u>: Maidbronn, Kirche St. Afra <br><u>Location</u>: Rimpar <br><u>Province</u>: Bayern, Würzburg <br><u>Country</u>: Germany <br><u>Header</u>: Riemenschneideraltar: Die Beweinung in Maidbronn <br><u>Description</u>: Church (Kirche St. Afra, , ehemalige Zisterzienserinnen-Klosterkirche) Tilman Riemenschneider Altarpiece Lamentation over the Dead Christ (Riemenschneideraltar: Die Beweinung in Maidbronn) Sandstone 205 x 166 cm Ca 1520 <br><u>Keywords</u>: Altar (church), Bayern, Cultural heritage, Europe, Furniture/accessory furnishing, Germany, Maidbronn, Monuments, Sculpture, Techniques, Thematic, Würzburg <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert; <br>
PM_152271_D_Frankfurt
<u>File Name</u>: PM_152271_D_Frankfurt.jpg <br><u>Sublocation</u>: Historisches Museum <br><u>Location</u>: Frankfurt <br><u>Province</u>: Hessen, Franfurt <br><u>Country</u>: Germany <br><u>Header</u>: Schilderij, "Bewening van Christrus", Albrecht Bouts, ca 1501 <br><u>Description</u>: Painting The Lamentation of Christ Albrecht Bouts Ca 1500 <br><u>Keywords</u>: Cultural heritage, Europe, Frankfurt, Germany, Hessen, Museum/private collection, Painting, Techniques <br><br><u>Author</u>: Albrecht Bouts (1452/1460-1549) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_152256_D_Berlin
<u>File Name</u>: PM_152256_D_Berlin.jpg <br><u>Sublocation</u>: Gemäldegalerie, Staatliche Museen zu Berlin <br><u>Location</u>: Berlin <br><u>Province</u>: Berlin, Berlin <br><u>Country</u>: Germany <br><u>Header</u>: Schilderij, Maria in Verehrung/Maria in aanbidding, (fragment), Dieric Bouts, ca 1470 <br><u>Description</u>: Painting Dieric Bouts The virgin in Adoration Ca 1470 <br><u>Keywords</u>: Berlin, Cultural heritage, Europe, Germany, Museum/private collection, Painting, Techniques <br><br><u>Author</u>: Dieric Bouts (ca 1410/1415-1475) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_152258_D_Berlin
<u>File Name</u>: PM_152258_D_Berlin.jpg <br><u>Sublocation</u>: Gemäldegalerie, Staatliche Museen zu Berlin <br><u>Location</u>: Berlin <br><u>Province</u>: Berlin, Berlin <br><u>Country</u>: Germany <br><u>Header</u>: Schilderij, Christus in het huis van Simon de farizeër, Dierick Bouts, ca 1465-1470 <br><u>Description</u>: Painting Christ in the House of Simon the Pharisee Dierick Bouts Ca 1465-1470 <br><u>Keywords</u>: Berlin, Cultural heritage, Europe, Germany, Museum/private collection, Painting, Techniques <br><br><u>Author</u>: Dieric Bouts (ca 1410/1415-1475) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_152259_D_Berlin
<u>File Name</u>: PM_152259_D_Berlin.jpg <br><u>Sublocation</u>: Gemäldegalerie, Staatliche Museen zu Berlin <br><u>Location</u>: Berlin <br><u>Province</u>: Berlin, Berlin <br><u>Country</u>: Germany <br><u>Header</u>: Schilderij, Christus in het huis van Simon de farizeër, Dierick Bouts, ca 1465-1470 <br><u>Description</u>: Painting Christ in the House of Simon the Pharisee Dierick Bouts Ca 1465-1470 <br><u>Keywords</u>: Berlin, Cultural heritage, Europe, Germany, Museum/private collection, Painting, Techniques <br><br><u>Author</u>: Dieric Bouts (ca 1410/1415-1475) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_152260_D_Berlin
<u>File Name</u>: PM_152260_D_Berlin.jpg <br><u>Sublocation</u>: Gemäldegalerie, Staatliche Museen zu Berlin <br><u>Location</u>: Berlin <br><u>Province</u>: Berlin, Berlin <br><u>Country</u>: Germany <br><u>Header</u>: Schilderij, Christus in het huis van Simon de farizeër, Dierick Bouts, ca 1465-1470 <br><u>Description</u>: Painting Christ in the House of Simon the Pharisee Dierick Bouts Ca 1465-1470 <br><u>Keywords</u>: Berlin, Cultural heritage, Europe, Germany, Museum/private collection, Painting, Techniques <br><br><u>Author</u>: Dieric Bouts (ca 1410/1415-1475) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_152265_D_Munchen
<u>File Name</u>: PM_152265_D_Munchen.jpg <br><u>Sublocation</u>: Bayerische Staatsgemäldesammlungen <br><u>Location</u>: München <br><u>Province</u>: Bayern <br><u>Country</u>: Germany <br><u>Header</u>: Schilderij, Gevangenneming van Christus, Dierick Bouts, ca 1478-1486; detail <br><u>Description</u>: Painting The Arrest of Christ Dierick Bouts Ca 1478-1486) Detail <br><u>Keywords</u>: Bayern, Cultural heritage, Europe, Germany, Museum/private collection, München, Painting, Techniques <br><br><u>Author</u>: Dieric Bouts (c. 1410/1415-1475) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
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.