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INDIGO Change Detection Reference Dataset
No full text<h2>The INDIGO Change Detection Reference Dataset</h2><h3><strong>Description</strong></h3><p>This graffiti-centred change detection dataset was developed in the context of <a href="https://projectindigo.eu/">INDIGO</a>, a research project focusing on the documentation, analysis and dissemination of graffiti along Vienna's Donaukanal. The dataset aims to support the development and assessment of change detection algorithms. </p><p>The dataset was collected from a test site approximately 50 meters in length along Vienna's Donaukanal during 11 days between 2022/10/21 and 2022/12/01. Various cameras with different settings were used, resulting in a total of 29 data collection sessions or "epochs" (see "EpochIDs.jpg" for details). Each epoch contains 17 images generated from 29 distinct 3D models with different textures. In total, the dataset comprises 6,902 unique image pairs, along with corresponding reference change maps. Additionally, exclusion masks are provided to ignore parts of the scene that might be irrelevant, such as the background.</p><p>To summarise, the dataset, labelled as "Data.zip," includes the following:</p><ul><li><strong>Synthetic Images:</strong> These are colour images created within Agisoft Metashape Professional 1.8.4, generated by rendering views from 17 artificial cameras observing 29 differently textured versions of the same 3D surface model.</li><li><strong>Change Maps: </strong>Binary images that were manually and programmatically generated, using a Python script, from two synthetic graffiti images. These maps highlight the areas where changes have occurred.</li><li><strong>Exclusion Masks:</strong> Binary images are manually created from synthetic graffiti images to identify "no data" areas or irrelevant ground pixels.</li></ul><h3>Image Acquisition </h3><p>Image acquisition involved the use of two different camera setups. The first two datasets (ID 1 and 2; cf.<i> "EpochIDs.jpg"</i>) were obtained using a Nikon Z 7II camera with a pixel count of 45.4 MP, paired with a Nikon NIKKOR Z 20 mm lens. For the remaining image datasets (ID 3-29), a triple GoPro setup was employed. This triple setup featured three GoPro cameras, comprising two GoPro HERO 10 cameras and one GoPro HERO 11, all securely mounted within a frame. This triple-camera setup was utilised on nine different days with varying camera settings, resulting in the acquisition of 27 image datasets in total (nine days with three datasets each).</p><h3>Data Structure</h3><p>The "Data.zip" file contains two subfolders: </p><ul><li><strong>1_ImagesAndChangeMaps: </strong>This folder contains the primary dataset. Each subfolder corresponds to a specific epoch. Within each epoch folder resides a subfolder for every other epoch with which a distinct epoch pair can be created. It is important to note that the pairs "Epoch Y and Epoch Z" are equivalent to "Epoch Z and Epoch Y", so the latter combinations are not included in this dataset. Each sub-subfolder, organised by epoch, contains 17 more subfolders, which hold the image data. These subfolders consist of:<ul><li>Two synthetic images rendered from the same synthetic camera ("<i>X_Y.jpg" </i>and<i> "X_Z.jpg")</i></li><li>The corresponding binary reference change map depicting the graffiti-related differences between the two images <i>("X_YZ.png"). </i>Black areas denote new graffiti (i.e. "change"), and white denotes "no change". "DataStructure.png" provides a visual explanation concerning the creation of the dataset. <br><br>The filenames follow the following pattern:<ul><li>X - Is the ID number of the synthetic camera. In total, 17 synthetic cameras were placed along the test site</li><li>Y - Corresponds to the reference epoch (i.e. the "older epoch")</li><li>Z - Corresponds to the "new epoch"<br> </li></ul></li></ul></li><li><strong>2_ExclusionMasks: </strong>This folder contains the binary exclusion masks. They were manually created from synthetic graffiti images and identify "no data" areas or areas considered irrelevant, such as "ground pixels". Two exclusion masks were generated for each of the 17 synthetic cameras:<ul><li>"groundMasks": depict ground pixels which are usually irrelevant for the detection of graffiti</li><li>"noDataMasks": depict "background" for which no data is available. <br> </li></ul></li></ul><p>A detailed dataset description (including detailed explanations of the data creation) is part of a journal paper currently in preparation. The paper will be linked here for further clarification as soon as it is available. </p><h3>Licensing</h3><p>Due to the nature of the three image types, this dataset comes with two licenses:</p><ul><li>Synthetic images:<ul><li>These come with an <strong>In Copyright</strong> license (for the rights usage terms, see <a href="https://rightsstatements.org/page/InC/1.0/?language=en">https://rightsstatements.org/page/InC/1.0/?language=en</a>).</li><li>The copyright lies with:<ul><li>the Ludwig Boltzmann Gesellschaft (<a href="https://d-nb.info/gnd/1024204324">https://d-nb.info/gnd/1024204324</a>)</li><li>the TU Wien (<a href="https://d-nb.info/gnd/55426-1">https://d-nb.info/gnd/55426-1</a>)</li><li>One or more anonymous graffiti creator(s) upon whose work these images are based.</li></ul></li><li>The first two entities are also the licensor of these images.<br> </li></ul></li><li>Change maps and masks:<ul><li>These are openly licensed via <strong>CC BY-SA 4.0</strong> (<a href="https://creativecommons.org/licenses/by-sa/4.0">https://creativecommons.org/licenses/by-sa/4.0</a>)</li><li>In this case, the copyright lies with:<ul><li>the Ludwig Boltzmann Gesellschaft (<a href="https://d-nb.info/gnd/1024204324">https://d-nb.info/gnd/1024204324</a>)</li><li>the TU Wien (<a href="https://d-nb.info/gnd/55426-1">https://d-nb.info/gnd/55426-1</a>)</li></ul></li><li>Both institutes are also the licensor of these images.</li></ul></li></ul><p>Every synthetic image, change map and mask has this licensing information embedded as <a href="https://iptc.org/std/photometadata/specification/IPTC-PhotoMetadata">IPTC photo metadata</a>. In addition, the images' IPTC metadata also provide a short image description, the image creator and the creator's identity (in the form of an <a href="https://orcid.org/">ORCiD</a>).</p><p>-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p><p><strong>If there are any questions, problems or suggestions for the dataset or the description, please do not hesitate to contact the corresponding author, Benjamin Wild. </strong></p>
Measurements of hydro-chemical parameters and selected trace contaminants in water samples within the Wulka river estuary and two littoral transects of Lake Neusiedl
No full text<p>The dataset contains the results of the chemical analyses carried out in water samples collected in three areas of the Lake Neusiedl (in the estuary of the main tributary Wulka and in two transects from the open lake to isolated sampling sites within the reed belt on the western and eastern shores) between October 2017 and September 2019 within the Interreg project REBEN.</p><p>The data set is composed of two data files containing:</p><ol><li>measurements for the traditional hydro-chemical parameters: general physico-chemical parameters (water temperature: WT, dissolved oxygen: DO, electric conductivity: EC, pH), main ions (calcium: Ca2+, magnesium: Mg2+, sodium: Na+, potassium: K+, chloride: Cl–, sulphate-sulphur: SO4-S), acid-neutralizing capacity (ANC), phosphorus (total: TP, dissolved: DP, soluble reactive: SRP, soluble unreactive: SUP, particulate: PP), nitrogen (total: TN, dissolved organic: DON, nitrate-nitrogen: NO3-N, nitrite-nitrogen: NO2-N, ammonium-nitrogen: NH4-N, particulate: PN), soluble reactive silica (SRSi), total organic carbon (TOC), dissolved organic carbon (DOC), suspended solids (particulate matter: PM, particulate inorganic matter: PIM, particulate organic matter: POM), and chlorophyll-a (Chl a);</li><li>measurements for selected trace contaminants: metals (cadmium: Cd, copper: Cu, lead: Pb, mercury: Hg, nickel: Ni, zinc: Zn), two industrial organic chemicals (perfluorooctanoic acid: PFOA, CAS 335-67-1 and perfluorooctanesulfonic acid: PFOS, CAS 1763-23-1), the sweetener Acesulfame K (CAS 55589-62-3) and two pharmaceuticals (Carbamazepine, CAS 298-46-4 and Diclofenac, CAS 15307-86-5).</li></ol><p>CSV-files use semicolon as field delimiter and comma as decimal separator.</p>
Monoselective N-Methylation of Amides, Indoles, and Related Structures Using Quaternary Ammonium Salts as Solid Methylating Agents
No full text<p><strong>Analytical Data and Compound Numbering (in paper numbering vs. ELN entries) for the Publication entitled:<br><em>"Monoselective N-Methylation of Amides, Indoles, and Related Structures Using Quaternary Ammonium Salts as Solid Methylating Agents"</em></strong></p>
<p>The paper was published on 2022-10-03 in Organic Letters</p>
<p>Org. Lett. 2022, 24, 40, 7315-7319</p>
<p>DOI: <a href="https://doi.org/10.1021/acs.orglett.2c02766">10.1021/acs.orglett.2c02766</a></p>
<p>Authors: Johanna Templ, Edma Gjata, Filippa Getzner, and Michael Schnürch</p>
<p>Funded by the Austrian Science Fund (FWF, project number P33064-N)</p>
<p><strong>Context and methodology</strong></p>
<p>In this Publication, we report the use of phenyl trimethylammonium iodide (PhMe<sub>3</sub>NI) as a safe, nontoxic, and easy-to-handle reagent for an absolutely monoselective N-methylation of amides and related compounds as well as for the N-methylation of indoles. In addition, we expanded the method to N-ethylation using PhEt<sub>3</sub>NI. The ease of operational setup, high yields of ≤99%, high functional group tolerance, and especially the excellent monoselectivity for amides make this method attractive for late-stage methylation of bioactive compounds.</p>
<p>The publication and its Supporting Information can be found as open-access files on the publisher's website (see DOI above).</p>
<p>All detailed files containing the analytical raw data, for all compounds given in the Supporting Information of the manuscript are uploaded. An additional PDF file named <strong><em>Org. Lett. 2022, 24, 40, 7315-7319_compound number list.pdf </em></strong>is uploaded, that should clearly link the compound number given in the paper to the respective entry in the ELN (jotempl) and the respective analytical data files. </p>
<p><strong>Technical details</strong></p>
<p>The files uploaded contain the FIDs of NMR spectra recorded by an in-house Bruker Spectrometer. A software to display NMR-spectra is needed, such as <a href="https://mestrelab.com/download/mnova/">MestreNova</a> or <a href="https://www.bruker.com/en/products-and-solutions/mr/nmr-software/topspin.html">Topspin</a>).</p>
<p>HRMS data is uploaded too and has to be processed via <a href="https://www.agilent.com/en/promotions/masshunter-mass-spec">MassHunter</a> software.</p>
full material for plans and sections of Karlskirche, Vienna Austria
No full text<p>all materials for plans scale 1:100 based on various digital models from Karlskirche, Vienna Austria; primary source laserscan Riegl & TU Wien supplemented with 3D mesh model Meixner ZT GmbH; </p>
<p>please contact <strong>[email protected]</strong> for access</p><p>base material pointcloud octree filtered 0.01m; drawn in Rhino 3D (version7); post-editing in Adobe Illustrator; Ortho-images of elevations and floors from Riegl RiScan; shadows renderend with Vray witin Rhino 3D; dwg exported from Rhino 3D</p><p>all plans in Rhino within project coordinate system - transformation matrix to global coordinate system WGS84_EPSG 4978 attached;</p>
Data supporting: Cracking behaviour of textile-reinforced concrete with varying concrete cover and textile surface finish
No full text<p>Full dataset behind the paper on the cracking behaviour of textile-reinforced concrete with varying concrete cover and textile surface finish (<a href="https://doi.org/10.1016/j.compstruct.2023.116859">https://doi.org/10.1016/j.compstruct.2023.116859)</a></p>
IMU Data for different Motorcyclist Behaviour
No full text<p>The data sets were collected during motorcycle trips near Vienna in 2021 and 2022. The behavior was split into different classes using videos (not part of the published data due to privacy concerns) and then cut into segments of 10 seconds.</p><h3>Context and methodology</h3><ul><li>The data set was collected to show how accurate motorcyclist behavior can be assessed using IMU data</li><li>The work follows the ideas published in <a href="http://hdl.handle.net/20.500.12708/43982">http://hdl.handle.net/20.500.12708/43982</a></li><li>The authors have a background in geodesy and computer science respectively and work in the field of geoinformation / navigation</li></ul><h3>Technical details</h3><ul><li>The data are stored as CSV files</li><li>Each file contains data from a unique behavior and has a length of 10 seconds</li><li>Each file has a header describing the columns</li><li>Units for acceleration are meters per squared second, units for angles are degrees</li><li>The files are names AB_Daten_D_C.csv<ul><li>D: Datum of the trip (as YYYY_MM_DD)</li><li>A: Behavior (cruise, fun, overtake, traffic, or wait)</li><li>B: Number of the occurrence of this behavior during the trip</li><li>C: Number of the segment within the occurrence</li></ul></li><li>The files are grouped by folders named after the corresponding behavior</li><li>The IMU used to collect the data was a XSENS MTi</li></ul>
Real-World Escape Route Test Model in IFC format
No full text<h2>Description</h2><p>The published data is a digital building model (BIM model) in the IFC format (Industry Foundation Classes).<br>The IFC model represents a real-world test model (in Vienna). It was created by researchers from the TU Wien Research Unit Digital Building Process.</p><h3>Context and methodology</h3><ul><li>The IFC model was originally created as test model to validate the automated checking system of Vienna's BIM-based building permission process.</li><li>This version of the IFC model serves to validate the newly developed Escape Route Analysis of the checking system. Thus, the model only contains standard IFC properties and escape route specific properties. Other building code specific properties are not included.</li><li>The research team used the 2D plans of a previously submitted and approved project as the information basis for creating the BIM model.</li><li>The model was created with the modeling software Archicad 26 and was exported to IFC4 (Reference View).</li></ul><h3>Technical details</h3><ul><li>The dataset includes one BIM model in the IFC format (.ifc).</li><li>It can be used in any software that supports the IFC format.</li></ul>
developed view of painted cupola Karlskirche, Vienna Austria
No full text<p>developed view of the eastern half of the cupola of Karlskirche, Vienna Austria;<br>processed in preperation for attaching coloring to physical model of Karlskirche</p>
<p>please contact <strong>[email protected]</strong> for access</p><p>base dataset mesh from Meixner ZT GmbH;<br>unrolled using point sampling and unroll command within CloudCompare;<br>reprojected onto nurbs geometry of cupola provided by Verein der Freunde der Karlskirche; </p><p>due to the abstract nature of the nurbs model for reprojection and the model being based on historic plans, there is distortion and imperfect matching</p>
3D Reconstruction Model of the Former Synagogue in the Schopenhauerstraße 39, Vienna (1888/89 | Architect: Jakob Modern)
No full text<p>This record contains model data originally created in the framework of the masters' thesis of Christoph Oberhofer at TU Wien (2005).</p><p>Facts: Synagogue of the Israelitische Vororgemeinde (Jewish Community) Währing | Erected 1888/89; ceremonial laying of the foundation stone on December 2, 1888 | Architect: Jakob Modern |Capacity: seating for 176 women and 328 men | Appearance: triple-aisled complex in the courtyard of the building at Schopenhauerstraße 39, oriental quality suggested by the pinnacles and arabesque decorative elements.</p><p>See also:</p><p>* City Guide --> https://www.lit-verlag.de/isbn/978-3-643-90170-5</p><p> </p><p>The data set includes</p><p>- Modelling software: ArchiCAD *.PLA - Archive</p><p>- Rendering Software: ArtLantis *.ATLA - Archive</p><p>- Panoramic representation: *.HTML & *.PNO</p><p> </p><p> </p>
3D Reconstruction Model of the Former Synagogue in the Dollinergasse 3, Vienna (1907 | Architect: Julius Wohlmuth)
No full text<p>This record contains model data originally created in the framework of ongoing research work.</p><p>Facts: Association synagogue of the Tempelverein Döbling (Döbling Temple Association) | Erected in 1897 as an apartment building; converted in 1907 to a synagogue; dedicated on September 5, 1907 | Architect: Julius Wohlmuth | Capacity: seating for 106 women and 162 men as well as 12 seats for functionaries | Appearance: the remarkable, tasteful Jugendstil design of the north and west façades recalls the buildings of Otto Wagner</p><p>See also:</p><p>* City Guide --> https://www.lit-verlag.de/isbn/978-3-643-90170-5</p><p> </p><p>The data set includes</p><p>- Modelling software: ArchiCAD *.PLA - Archive</p><p>- Rendering Software: ArtLantis *.ATLA - Archive</p><p>- Panoramic representation: *.HTML & *.PNO</p><p> </p>